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Research| Volume 100, ISSUE 8, P6187-6198, August 2017

In vitro response to EPA, DPA, and DHA: Comparison of effects on ruminal fermentation and biohydrogenation of 18-carbon fatty acids in cows and ewes

Open ArchivePublished:June 07, 2017DOI:https://doi.org/10.3168/jds.2017-12638

      ABSTRACT

      The modulation of milk fat nutritional quality through fish oil supplementation seems to be largely explained by the action of n-3 very long chain polyunsaturated fatty acids (PUFA) on ruminal biohydrogenation (BH) of C18 fatty acids (FA). However, relationships among this action, disappearance of those PUFA in the rumen, and potential detrimental consequences on ruminal fermentation remain uncertain. This study compared the effect of 20:5n-3 (eicosapentaenoic acid; EPA), 22:5n-3 (docosapentaenoic acid; DPA), and 22:6n-3 (docosahexaenoic acid; DHA) on rumen fermentation and BH of C18 FA and was conducted simultaneously in cows and sheep to provide novel insights into interspecies differences. The trial was performed in vitro using batch cultures of rumen microorganisms with inocula collected from cannulated cows and ewes. The PUFA were added at a dose of 2% incubated dry matter, and treatment effects on ruminal C18 FA concentrations, PUFA disappearances, and fermentation parameters (gas production, ammonia and volatile FA concentrations, and dry matter and neutral detergent fiber disappearances) were examined after 24 h of incubation. A principal component analysis suggested that responses to PUFA treatments explained most of the variability; those of ruminant species were of lower relevance. Overall, EPA and DHA were equally effective for inhibiting the saturation of trans-11 18:1 to 18:0 and had a similar influence on ruminal fermentation in cows and sheep (e.g., reductions in gas production and acetate:propionate ratio). Nevertheless, DHA further promoted alternative BH pathways that lead to trans-10 18:1 accumulation, and EPA seemed to have specific effects on 18:3n-3 metabolism. Only minor variations attributable to DPA were observed in the studied parameters, suggesting a low contribution of this FA to the action of marine lipids. Although most changes due to the added PUFA were comparable in bovine and ovine, there were also relevant specificities, such as a stronger inhibition of 18:0 formation in cows and a greater increase in 18:3n-3 metabolites in sheep. No direct relationship between in vitro disappearance of the incubated PUFA and effect on BH (in particular, inhibition of the last step) was found in either cows or ewes, calling into question a putative link between extent of disappearance and toxicity for microbiota. Conversely, an association between the influence of these PUFA on ruminal lipid metabolism and fermentation may exist in both species. In vivo verification of these findings would be advisable.

      Key words

      INTRODUCTION

      Some marine lipid supplements (e.g., tuna and sardine oil or Schizochytrium microalgae) have been tested as sources of eicosapentaenoic acid (EPA; 20:5n-3) and docosahexaenoic acid (DHA; 22:6n-3) for dairy ruminants, but transfer rates into milk of both PUFA are limited by extensive ruminal disappearances (
      • Loor J.J.
      • Doreau M.
      • Chardigny J.M.
      • Ollier A.
      • Sebedio J.L.
      • Chilliard Y.
      Effects of ruminal or duodenal supply of fish oil on milk fat secretion and profiles of trans-fatty acids and conjugated linoleic acid isomers in dairy cows fed maize silage.
      ;
      • Shingfield K.J.
      • Kairenius P.
      • Äröla A.
      • Paillard D.
      • Muetzel S.
      • Ahvenjärvi S.
      • Vanhatalo A.
      • Huhtanen P.
      • Toivonen V.
      • Griinari J.M.
      • Wallace R.J.
      Dietary fish oil supplements modify ruminal biohydrogenation, alter the flow of fatty acids at the omasum, and induce changes in the ruminal Butyrivibrio population in lactating cows.
      ). For this reason, research on their use in ruminant feeding has mainly focused on their role as modulators of the last biohydrogenation (BH) step of 18-carbon fatty acids (FA;
      • Boeckaert C.
      • Vlaeminck B.
      • Fievez V.
      • Maignien L.
      • Dijkstra J.
      • Boon N.
      Accumulation of trans C-18:1 fatty acids in the rumen after dietary algal supplementation is associated with changes in the Butyrivibrio community.
      ;
      • Toral P.G.
      • Shingfield K.J.
      • Hervás G.
      • Toivonen V.
      • Frutos P.
      Effect of fish oil and sunflower oil on rumen fermentation characteristics and fatty acid composition of digesta in ewes fed a high concentrate diet.
      ) with the aim of increasing the outflow of trans-11 18:1 that serves as a substrate for mammary cis-9,trans-11 CLA synthesis (
      • Bernard L.
      • Leroux C.
      • Chilliard Y.
      Expression and nutritional regulation of stearoyl-CoA desaturase genes in the ruminant mammary gland: Relationship with milk fatty acid composition.
      ).
      Docosahexaenoic acid is supposed to be a stronger inhibitor of ruminal trans 18:1 saturation than EPA (
      • AbuGhazaleh A.A.
      • Jenkins T.C.
      Disappearance of docosahexaenoic and eicosapentaenoic acids from cultures of mixed ruminal microorganisms.
      ), but this latter PUFA is more extensively metabolized in the rumen than the former (
      • Gulati S.K.
      • Ashes J.R.
      • Scott T.W.
      Hydrogenation of eicosapentaenoic and docosahexaenoic acids and their incorporation into milk fat.
      ;
      • Dohme F.
      • Fievez V.
      • Raes K.
      • Demeyer D.I.
      Increasing levels of two different fish oils lower ruminal biohydrogenation of eicosapentaenoic and docosahexaenoic acid in vitro.
      ), which might be related to a more toxic effect of EPA for rumen microbiota (
      • Maia M.R.G.
      • Chaudhary L.C.
      • Figueres L.
      • Wallace R.J.
      Metabolism of polyunsaturated fatty acids and their toxicity to the microflora of the rumen.
      ). Nonetheless, the relationship among the disappearance of these PUFA in the rumen, inhibition of the last step of unsaturated C18 FA BH, and potential detrimental effects on ruminal fermentation (
      • Fievez V.
      • Dohme F.
      • Danneels M.
      • Raes K.
      • Demeyer D.
      Fish oils as potent rumen methane inhibitors and associated effects on rumen fermentation in vitro and in vivo.
      ;
      • Lee M.R.F.
      • Tweed J.K.S.
      • Moloney A.P.
      • Scollan N.D.
      The effects of fish oil supplementation on rumen metabolism and the biohydrogenation of unsaturated fatty acids in beef steers given diets containing sunflower oil.
      ;
      • Toral P.G.
      • Belenguer A.
      • Frutos P.
      • Hervás G.
      Effect of the supplementation of a high-concentrate diet with sunflower and fish oils on ruminal fermentation in sheep.
      ) is still uncertain.
      Although EPA and DHA are accepted to be the main FA responsible for the effects of fish oil and some marine microalgae on BH, the contribution of less abundant C20 and C22 PUFA remains largely unknown (
      • AbuGhazaleh A.A.
      • Holmes L.D.
      • Jacobson B.N.
      • Kalscheur K.F.
      Short communication: Eicosatrienoic acid and docosatrienoic acid do not promote vaccenic acid accumulation in mixed ruminal cultures.
      ). For example, we are not aware of published data regarding docosapentaenoic acid (DPA; 22:5n-3). The proportion of DPA in fish oil represents only approximately 5 to 15% of the sum of EPA and DHA (
      • Fievez V.
      • Dohme F.
      • Danneels M.
      • Raes K.
      • Demeyer D.
      Fish oils as potent rumen methane inhibitors and associated effects on rumen fermentation in vitro and in vivo.
      ;
      • Kim E.J.
      • Huws S.A.
      • Lee M.R.F.
      • Wood J.D.
      • Muetzel S.M.
      • Wallace R.J.
      • Scollan N.D.
      Fish oil increases the duodenal flow of long chain polyunsaturated fatty acids and trans-11 18:1 and decreases 18:0 in steers via changes in the rumen bacterial community.
      ;
      • Toral P.G.
      • Shingfield K.J.
      • Hervás G.
      • Toivonen V.
      • Frutos P.
      Effect of fish oil and sunflower oil on rumen fermentation characteristics and fatty acid composition of digesta in ewes fed a high concentrate diet.
      ), but its transfer efficiency from diet into milk is several-fold higher than that of EPA and DHA, which often results in similar or even greater DPA concentrations in milk fat (
      • Offer N.W.
      • Marsden M.
      • Dixon J.
      • Speake B.K.
      • Thacker F.E.
      Effect of dietary fat supplements on levels of n-3 poly-unsaturated fatty acids, trans acids and conjugated linoleic acid in bovine milk.
      ;
      • Kairenius P.
      • Ärölä A.
      • Leskinen H.
      • Toivonen V.
      • Ahvenjärvi S.
      • Vanhatalo A.
      • Huhtanen P.
      • Hurme T.
      • Griinari J.M.
      • Shingfield K.J.
      Dietary fish oil supplements depress milk fat yield and alter milk fatty acid composition in lactating cows fed grass silage based diets.
      ;
      • Toral P.G.
      • Hervás G.
      • Carreño D.
      • Frutos P.
      Does supplemental 18:0 alleviate fish oil-induced milk fat depression in dairy ewes?.
      ). The cause of these differences in PUFA apparent transfer rates is as yet unknown but might derive from low DPA disappearance in the rumen (
      • Kim E.J.
      • Huws S.A.
      • Lee M.R.F.
      • Wood J.D.
      • Muetzel S.M.
      • Wallace R.J.
      • Scollan N.D.
      Fish oil increases the duodenal flow of long chain polyunsaturated fatty acids and trans-11 18:1 and decreases 18:0 in steers via changes in the rumen bacterial community.
      ;
      • Shingfield K.J.
      • Kairenius P.
      • Äröla A.
      • Paillard D.
      • Muetzel S.
      • Ahvenjärvi S.
      • Vanhatalo A.
      • Huhtanen P.
      • Toivonen V.
      • Griinari J.M.
      • Wallace R.J.
      Dietary fish oil supplements modify ruminal biohydrogenation, alter the flow of fatty acids at the omasum, and induce changes in the ruminal Butyrivibrio population in lactating cows.
      ), which in turn might suggest a less negative effect on microbiota, or from DPA accumulation as a putative intermediate of ruminal DHA metabolism (
      • Kairenius P.
      • Toivonen V.
      • Shingfield K.J.
      Identification and ruminal outflow of long-chain fatty acid biohydrogenation intermediates in cows fed diets containing fish oil.
      ;
      • Toral P.G.
      • Belenguer A.
      • Shingfield K.J.
      • Hervás G.
      • Toivonen V.
      • Frutos P.
      Fatty acid composition and bacterial community changes in the rumen fluid of lactating sheep fed sunflower oil plus incremental levels of marine algae.
      ).
      Despite the well-known differences in the rumen FA metabolism between cattle and small ruminants fed plant lipids (
      • Shingfield K.J.
      • Bonnet M.
      • Scollan N.D.
      Recent developments in altering the fatty acid composition of ruminant-derived foods.
      ), it has been suggested that differences would not be so clear when it comes to marine oils (
      • Or-Rashid M.M.
      • Kramer J.K.G.
      • Wood M.A.
      • McBride B.W.
      Supplemental algal meal alters the ruminal trans-18:1 fatty acid and conjugated linoleic acid composition in cattle.
      ;
      • Toral P.G.
      • Belenguer A.
      • Shingfield K.J.
      • Hervás G.
      • Toivonen V.
      • Frutos P.
      Fatty acid composition and bacterial community changes in the rumen fluid of lactating sheep fed sunflower oil plus incremental levels of marine algae.
      ) because their effects on rumen and milk FA profiles have been consistently observed in cows, ewes, and goats (e.g.,
      • Boeckaert C.
      • Vlaeminck B.
      • Dijkstra J.
      • Issa-Zacharia A.
      • Van Nespen T.
      • Van Straalen W.
      • Fievez V.
      Effect of dietary starch or micro algae supplementation on rumen fermentation and milk fatty acid composition of dairy cows.
      ;
      • Toral P.G.
      • Chilliard Y.
      • Rouel J.
      • Leskinen H.
      • Shingfield K.J.
      • Bernard L.
      Comparison of the nutritional regulation of milk fat secretion and composition in cows and goats.
      ,
      • Toral P.G.
      • Hervás G.
      • Carreño D.
      • Frutos P.
      Does supplemental 18:0 alleviate fish oil-induced milk fat depression in dairy ewes?.
      ). However, a direct comparison of ruminal responses to fish oil supplementation in cows and goats reports more pronounced changes in BH in the caprine (
      • Toral P.G.
      • Bernard L.
      • Belenguer A.
      • Rouel J.
      • Hervás G.
      • Chilliard Y.
      • Frutos P.
      Comparison of ruminal lipid metabolism in dairy cows and goats fed diets supplemented with starch, plant oil, or fish oil.
      ), which points again to interspecies variations. We are not aware of any comparative study with sheep that has been published so far. On this basis, we conducted an in vitro experiment with the aims of investigating the effects of EPA, DPA, and DHA on the BH of dietary 18-carbon FA and on ruminal fermentation and comparing responses of cows and ewes.

      MATERIALS AND METHODS

      All experimental procedures were approved and completed in accordance with the Spanish Royal Decree 53/2013 for the protection of animals used for experimental purposes.

      Batch Cultures of Rumen Microorganisms

      This trial was conducted in vitro following a 2 × 4 factorial arrangement: 2 species (ovine and bovine) and 4 treatments (EPA, DPA, and DHA, and a control without FA). Batch cultures of rumen microorganisms were conducted as outlined previously (
      • Frutos P.
      • Hervás G.
      • Giráldez F.J.
      • Mantecón A.R.
      An in vitro study on the ability of polyethylene glycol to inhibit the effect of quebracho tannins and tannic acid on rumen fermentation in sheep, goats, cows, and deer.
      ). Rumen fluid was collected from 2 ewes (BW = 76 ± 8.4 kg) and 2 cows (BW = 727 ± 77.5 kg), each equipped with a ruminal cannula of 4 and 10 cm i.d., respectively. Animals were individually penned and fed a TMR (see Table 1 for ingredients) in 2 daily meals (60% at 0900 h and 40% at 1700 h). The offer was fixed to their estimated maintenance energy requirements (
      • INRA (L'Institut National de la Recherche Agronomique)
      ) to work under similar conditions in both species. Clean drinking water was always available.
      Table 1Formulation and chemical composition of the experimental diet
      ItemTMR
      Ingredient, g/kg of fresh matter
       Dehydrated alfalfa hay (particle size >4 cm)500
       Whole corn grain140
       Whole barley grain100
       Soybean meal solvent 44% CP150
       Sugar beet pulp (pellets)50
       Molasses (liquid)40
       Mineral supplement
      Declared as containing (g/kg) CaCO3 (556), Ca2HPO4 (222), and NaCl (222).
      18
       Vitamin supplement
      Vitafac Ovino 0.2% AC (DSM Nutritional Products SA, Madrid, Spain). Declared as containing vitamin A (4,000,000 IU/kg), vitamin D3 (1,000,000 IU/kg), vitamin E (5 g/kg), Fe (17.5 g/kg), Mn (20 g/kg), Co (50 mg/kg), I (250 mg/kg), Zn (15 g/kg), Se (100 mg/kg), sepiolite (100 g/kg), Ca (26.2 g/kg), and Mg (6.15 g/kg).
      2
      Chemical composition, g/kg of DM
       OM900
       CP187
       NDF311
       ADF218
       Total fatty acids17.65
        16:04.22
        18:00.93
        cis-9 18:12.29
        18:2n-66.23
        18:3n-32.39
      1 Declared as containing (g/kg) CaCO3 (556), Ca2HPO4 (222), and NaCl (222).
      2 Vitafac Ovino 0.2% AC (DSM Nutritional Products SA, Madrid, Spain). Declared as containing vitamin A (4,000,000 IU/kg), vitamin D3 (1,000,000 IU/kg), vitamin E (5 g/kg), Fe (17.5 g/kg), Mn (20 g/kg), Co (50 mg/kg), I (250 mg/kg), Zn (15 g/kg), Se (100 mg/kg), sepiolite (100 g/kg), Ca (26.2 g/kg), and Mg (6.15 g/kg).
      After an adaptation period of 15 d, rumen inocula were obtained via the cannula before the morning feeding. The inocula were immediately taken in thermal flasks to the laboratory, where they were strained through a nylon membrane (400 µm; Fisher Scientific S.L., Madrid, Spain) while being bubbled with CO2. For each species, equal volumes of the 2 strained rumen fluids were combined and mixed (1:4) with phosphate-bicarbonate buffer (
      • Goering M.K.
      • Van Soest P.J.
      ). The incubation was repeated on 3 consecutive days (replicates) using 16-mL Hungate tubes for the BH study and 125-mL sealed serum flasks for the fermentation study, which contained 12 and 50 mL of buffered rumen fluid, respectively. The TMR fed to the animals was used as the substrate for incubation (10 mg/mL of buffered rumen fluid) and was ground in a hammer mill fitted with a 0.5- or 1-mm screen for the Hungate tubes or serum flasks, respectively. Both vials were incubated under anaerobic conditions for 24 h in an incubator set at 39.5°C. Blanks containing buffered rumen fluid without substrate were incubated under the same conditions.
      Each PUFA [10-2005-9 (EPA), 10-2205-9 (DPA), and 10-2206-9 (DHA); Larodan, Solna, Sweden] was dissolved in ethanol 96% at 0.5% of the incubation volume, as it has been shown that such concentration of ethanol would not impair fermentation (
      • Morgavi D.P.
      • Boudra H.
      • Jouany J.P.
      • Michalet-Doreau B.
      Effect and stability of gliotoxin, an Aspergillus fumigatus toxin, on in vitro rumen fermentation.
      ), and was dispersed with an ultrasonic device (UP200H, Hielscher Ultrasonics GmbH, Teltow, Germany). The dose of each PUFA was 200 µg/mL of buffered rumen fluid (which is equivalent to 2% DM of the substrate) and was added into the tubes and flasks just before the incubation started. The control treatment and blanks were dosed only the corresponding amount of ethanol.

      Measurements and Samplings

      Representative samples of the TMR were collected, stored at −30°C, and then freeze dried before chemical analysis.

      BH Study

      After 24 h of incubation, the reaction was stopped by placing the Hungate tubes into ice water for approximately 5 min. They were then stored at −80°C until FA analysis.

      Fermentation Study

      The extent of gas production was determined by measuring head-space gas pressure at 6, 12, and 24 h postinoculation. Pressure values, corrected for the quantity of OM incubated and gas released from the blanks, were used to generate gas volume estimates using a predictive equation (
      • Hervás G.
      • Frutos P.
      • Giráldez F.J.
      • Mora M.J.
      • Fernández B.
      • Mantecón A.R.
      Effect of preservation on fermentative activity of rumen fluid inoculum for in vitro gas production techniques.
      ). After 24 h of incubation, the reaction was stopped by placing the flasks into ice water for approximately 10 to 15 min. Centrifuged samples (at 976 × g for 10 min) were collected for ammonia and VFA determinations and stored at −30°C until analysis. Values of DM and NDF disappearance were estimated by filtering the residues using preweighed sintered glass crucibles (100–160 µm; Pyrex, Stone, UK), correcting with blanks, and determining the NDF content, as reported in
      • Frutos P.
      • Hervás G.
      • Giráldez F.J.
      • Mantecón A.R.
      An in vitro study on the ability of polyethylene glycol to inhibit the effect of quebracho tannins and tannic acid on rumen fermentation in sheep, goats, cows, and deer.
      .

      Chemical Analysis

      Diet samples were prepared and analyzed for chemical composition (DM, ash, CP, NDF, and ADF) as detailed in
      • Toral P.G.
      • Hervás G.
      • Carreño D.
      • Frutos P.
      Does supplemental 18:0 alleviate fish oil-induced milk fat depression in dairy ewes?.
      . Fatty acid methyl esters of lipid in 200 mg of freeze-dried TMR samples were prepared in duplicate following a 1-step extraction–transesterification procedure (
      • Shingfield K.J.
      • Ahvenjärvi S.
      • Toivonen V.
      • Äröla A.
      • Nurmela K.V.V.
      • Huhtanen P.
      • Griinari J.M.
      Effect of dietary fish oil on biohydrogenation of fatty acids and milk fatty acid content in cows.
      ) and adding 1 mg of cis-12 13:1 (10-1301-9, Larodan) as an internal standard. Methyl esters were separated and quantified by GC as explained below for ruminal digesta samples. Peak identification was based on retention time comparisons with commercially available standard FAME mixtures (Nu-Chek Prep, Elysian, MN; Sigma-Aldrich, Madrid, Spain).
      Samples for ruminal FA composition were freeze dried directly in the Hungate tubes. Immediately before extraction, 1 mg of internal standard (cis-12 13:1, Larodan) was added to each tube, which contained approximately 200 mg of freeze-dried digesta. The lipids were then extracted twice, and the organic extracts were combined and converted to FAME by sequential base–acid catalyzed transesterification (
      • Toral P.G.
      • Shingfield K.J.
      • Hervás G.
      • Toivonen V.
      • Frutos P.
      Effect of fish oil and sunflower oil on rumen fermentation characteristics and fatty acid composition of digesta in ewes fed a high concentrate diet.
      ). Methyl esters were separated and quantified with a gas chromatograph (7890A GC System, Agilent, Santa Clara, CA) equipped with a flame ionization detector and a 100-m fused silica capillary column (CP-SIL 88, CP7489, Varian Ibérica S.A., Madrid, Spain) and hydrogen as the carrier gas. Total FAME profile was determined using a temperature gradient program and then isothermal conditions at 170°C to further resolve 18:1 isomers (
      • Shingfield K.J.
      • Ahvenjärvi S.
      • Toivonen V.
      • Äröla A.
      • Nurmela K.V.V.
      • Huhtanen P.
      • Griinari J.M.
      Effect of dietary fish oil on biohydrogenation of fatty acids and milk fatty acid content in cows.
      ). Peaks were identified based on retention time comparisons with the same FAME mixtures used for the analysis of feeds, other commercially available standards (Nu-Chek Prep and Larodan), cross-referencing with chromatograms reported in the literature, and comparison with selected ruminal digesta samples for which the FA composition was determined based on GC and GC-MS analysis of corresponding 4,4-dimethyloxazoline derivatives (
      • Toral P.G.
      • Shingfield K.J.
      • Hervás G.
      • Toivonen V.
      • Frutos P.
      Effect of fish oil and sunflower oil on rumen fermentation characteristics and fatty acid composition of digesta in ewes fed a high concentrate diet.
      ;
      • Kairenius P.
      • Toivonen V.
      • Shingfield K.J.
      Identification and ruminal outflow of long-chain fatty acid biohydrogenation intermediates in cows fed diets containing fish oil.
      ). For details, refer to
      • Toral P.G.
      • Shingfield K.J.
      • Hervás G.
      • Toivonen V.
      • Frutos P.
      Effect of fish oil and sunflower oil on rumen fermentation characteristics and fatty acid composition of digesta in ewes fed a high concentrate diet.
      ,
      • Toral P.G.
      • Hervás G.
      • Carreño D.
      • Frutos P.
      Does supplemental 18:0 alleviate fish oil-induced milk fat depression in dairy ewes?.
      ). The FAME were converted to FA using theoretical relative response factors for GC analysis (
      • Wolff R.L.
      • Bayard C.C.
      • Fabien R.J.
      Evaluation of sequential methods for the determination of butterfat fatty acid composition with emphasis on trans-18:1 acids. Application to the study of seasonal variations in French butters.
      ). The C18 FA in the ruminal digesta were then expressed as a percentage of total FA, whereas those in TMR samples and EPA, DPA, and DHA in ruminal digesta were quantified using the cis-12 13:1 internal standard, which has been shown to improve the accuracy of this type of analysis (
      • Jenkins T.C.
      Technical note: Common analytical errors yielding inaccurate results during analysis of fatty acids in feed and digesta samples.
      ). Disappearance of the 3 incubated n-3 PUFA was calculated considering the amount initially added to the Hungate tubes; control samples were devoid of EPA, DPA, and DHA in both ruminant species. The ammonia concentration was determined by colorimetry and VFA was determined by GC using crotonic acid as the internal standard in centrifuged samples (
      • Frutos P.
      • Hervás G.
      • Giráldez F.J.
      • Mantecón A.R.
      An in vitro study on the ability of polyethylene glycol to inhibit the effect of quebracho tannins and tannic acid on rumen fermentation in sheep, goats, cows, and deer.
      ).

      Statistical Analysis

      The relationship between in vitro ruminal C18 FA concentrations, disappearances of the incubated PUFA and fermentation parameters was assessed through a principal component analysis (PCA) using the R-project software (http://www.r-project.org, version 3.2.3). Statistical analyses were also performed using the SAS software package (version 9.4; SAS Institute Inc., Cary, NC). Ruminal C18 FA concentrations and fermentation parameters were analyzed by ANOVA to test the fixed effects of PUFA treatments (control, EPA, DPA and DHA), species (bovine and ovine), and their interaction. Disappearances of incubated PUFA in the rumen were also analyzed by ANOVA to test the fixed effect of PUFA type (EPA, DPA and DHA), species, and their interaction. In both cases, the incubation run and the inoculum nested within the species were designated as random effects. Means were separated through the pairwise differences (“pdiff”) option of the least squares means (“lsmeans”) statement of the MIXED procedure, and adjusted for multiple comparisons using Bonferroni's method. Differences were declared significant at P < 0.05 and considered a trend toward significance at 0.05 ≤ P < 0.10. Least squares means are reported.

      RESULTS

      PCA

      The PCA discriminated 2 principal components (PC) that described 35.0% (PC1) and 18.6% (PC2) of the variation in ruminal BH and fermentation and 1 PC that accounted for 9.1% of total variability (PC3). The score plot (Figure 1a) showed that PC1 separated 2 major groups based on PUFA treatment; samples from EPA and DHA incubations were mostly in the positive range, whereas those from the control and DPA incubations were largely in the negative range. Additionally, PC2 clearly discriminated based on ruminant species; ewes were positioned in the positive ranges and cows were positioned in the negative ranges. Within each species, the EPA and DHA samples clustered together and distant from their controls, and those from the DPA treatment were mostly found in intermediate positions closer to the control in sheep.
      Figure thumbnail gr1
      Figure 1Principal component analysis of ruminal biohydrogenation metabolites and fermentation parameters after 24 h of in vitro incubation with rumen inocula from cows or ewes. (a) Score plot and (b) loading plot projected on the basis of the 2 principal components (PC1 and PC2). The incubated substrate was a TMR containing no additional PUFA (control) or supplemented with 2% DM of eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), or docosahexaenoic acid (DHA). t = trans; c = cis.
      The loading plot (Figure 1b) showed that the concentration of 18:0 was negatively correlated with PC1 and was loaded near 18:3n-3 and the molar proportion of acetate and opposite the major cluster including propionate and some 18:1 and 18:2 isomers (e.g., cis-9, cis-11, trans-9, and trans-10 18:1; trans-9,trans-12, cis-9,trans-12, and trans-11,cis-15 18:2). On the other hand, the concentrations of trans-16 and cis-16 18:1, trans-12,cis-15 18:2, trans 18:3, and ammonia were positively correlated with PC2, whereas 13- and 16-oxo-18:0 were negatively correlated with this PC. The in vitro disappearance of the 3 incubated PUFA and the concentrations of 9- and 15-oxo-18:0 or cis-9,trans-11 CLA and NDF and DM disappearances were positioned close to the origin of the plot, with no apparent relationship with any of the main PC.

      Ruminal BH

      Concentrations of identified 18-carbon FA in the in vitro ruminal digesta of cows and ewes are shown in Table 2. For reasons of clarity, Supplemental Table S1 (https://doi.org/10.3168/jds.2017-12638) reports the main effects for species and PUFA treatments in those parameters for which the level of significance of the interaction was P > 0.05.
      Table 2Effect of very long chain n-3 PUFA on C18 fatty acid concentration (g/100 g of total fatty acids) after 24 h of in vitro incubation with rumen inocula from cows or ewes
      The incubated substrate was a TMR containing no additional PUFA (control) or supplemented with 2% DM of eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), or docosahexaenoic acid (DHA).
      ItemCowEweSED
      Standard error of the difference.
      P-value
      Probability of significant effects due to species (Sp), PUFA treatment (T), and their interaction (Sp × T).
      ControlEPADPADHAControlEPADPADHASpTSp × T
      18:053.22
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      31.34
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      37.22
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      32.68
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      55.80
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      39.78
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      45.30
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      37.47
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      1.8380.036<0.0010.079
      9-oxo-18:0
      Coelutes with 10-hydroxy-18:0.
      0.030.030.040.030.030.030.040.030.0050.7280.0220.959
      10-oxo-18:00.45
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.77
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.48
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.51
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.10
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.22
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.10
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.15
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.034<0.001<0.0010.003
      13-oxo-18:00.66
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.45
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.47
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.40
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.17
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.17
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.14
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.13
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.037<0.001<0.001<0.001
      15-oxo-18:0
      In DPA treatment, coelutes with an unidentified peak.
      0.030.040.110.040.030.030.110.030.0160.734<0.0010.859
      16-oxo-18:00.76
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.48
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.56
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.53
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.26
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.23
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.23
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.23
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0200.031<0.001<0.001
      cis-9 18:1
      Contains trans-14 18:1 as a minor component.
      1.902.631.963.061.871.931.472.700.2160.100<0.0010.160
      cis-11 18:10.36
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.62
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.46
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.61
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.25
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.40
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.26
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.50
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.0470.048<0.0010.069
      cis-12 18:10.160.220.240.220.170.240.220.270.0340.3980.0260.436
      cis-15 18:10.08
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.12
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.14
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.13
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.08
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.16
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.12
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.16
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0100.015<0.0010.002
      cis-16 18:1
      Coelutes with cis-8,cis-12 + cis-9,trans-15 + trans-9,cis-15 + trans-10,cis-14 18:2.
      0.066
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.071
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.066
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.078
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.074
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.093
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.086
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.113
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.00400.020<0.001<0.001
      trans-4 18:10.103
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.065
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.085
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.086
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.105
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.070
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.077
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.110
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.00800.338<0.0010.061
      trans-5 18:10.053
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.038
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.043
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.072
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.046
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.036
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.036
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.090
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.00490.861<0.0010.007
      trans-6+7+8 18:10.45
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.43
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.49
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.43
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.24
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.32
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.23
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.39
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0300.0010.0350.001
      trans-9 18:10.26
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.59
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.43
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.54
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.22
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.47
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.21
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.69
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0480.029<0.0010.001
      trans-10 18:10.31
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.61
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.69
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.96
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.24
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.60
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.35
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.03
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0810.212<0.0010.012
      trans-11 18:15.36
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      9.76
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      7.21
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      9.43
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      3.93
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      5.68
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      3.71
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      6.46
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.4790.008<0.0010.009
      trans-12 18:10.53
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.13
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.91
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.17
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.47
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.06
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.64
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.27
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0530.119<0.0010.003
      trans-13 18:10.57
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.09
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.08
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.15
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.59
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.43
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.97
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.61
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.066<0.001<0.001<0.001
      trans-15 18:10.46
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.72
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.67
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.75
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.50
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.84
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.61
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.00
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0360.017<0.001<0.001
      trans-16 18:1
      Coelutes with cis-14 18:1 and cis-5,trans-9 + trans-9,trans-13 18:2.
      0.41
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.38
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.42
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.43
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.50
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.59
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.56
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.67
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0310.0080.0080.029
      cis-7,cis-12 18:20.004
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.015
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.004
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.010
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.003
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.011
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.003
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.015
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.00240.988<0.0010.072
      cis-9,cis-12 18:2 (18:2n-6)
      Contains cis-9 19:1 as a minor component.
      1.32
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.74
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.58
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.80
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      1.12
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.79
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.75
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.84
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.9150.737<0.0010.076
      cis-12,cis-15 18:2
      Coelutes with cis-11,cis-16 18:2.
      0.020.030.030.030.020.030.030.020.0070.5600.3570.798
      cis-9,trans-12 18:20.020.040.020.040.010.030.010.030.004<0.001<0.0010.242
      cis-9,trans-13 18:2
      Coelutes with 11-cyclohexyl-11:0 and cis-10,trans-14 + trans-10,trans-13 + trans-11,trans-14 18:2.
      0.0090.0130.0070.0110.0090.0110.0060.0100.0020.2140.0060.745
      trans-9,cis-12 18:20.030.090.040.090.040.090.040.080.0100.868<0.0010.768
      trans-11,cis-15 + trans-10,cis-15 18:20.16
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      1.05
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.31
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.63
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.10
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.49
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.13
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.40
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.061<0.001<0.001<0.001
      trans-12,cis-15 18:2
      Coelutes with cis-12,cis-16 18:2.
      0.070.060.050.060.100.090.080.100.0100.0080.0150.893
      trans-9,trans-12 18:20.020.070.030.080.020.060.020.060.0060.001<0.0010.165
      trans-9,trans-14 18:20.020.060.020.040.030.050.020.040.0060.687<0.0010.603
      trans-10,trans-14 18:20.0130.0240.0180.0190.0070.0230.0100.0170.03970.274<0.0010.334
      cis-9,trans-11 CLA
      In EPA treatment, contains cis-14 20:1 as a minor component.
      0.130.120.120.140.110.130.100.110.0170.3780.1750.216
      cis-11,trans-13 CLA
      In EPA treatment, coelutes with cis-16 20:1.
      <0.01
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      <0.01
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      <0.01
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      <0.01
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      <0.01
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.04
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      <0.01
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      <0.01
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0070.1550.0070.015
      trans-10,cis-12 CLA0.010.030.020.020.030.040.020.020.0060.1820.0680.231
      trans-11,trans-13 CLA0.025
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.011
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.021
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.016
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.021
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.021
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.016
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.017
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.00260.9870.0070.006
      Other trans,trans CLA
      Sum of trans-7,trans-9 + trans-8,trans-10 + trans-9,trans-11 CLA.
      0.09
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.10
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.09
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.09
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.08
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.12
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.07
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.07
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0080.114<0.0010.007
      cis-9,cis-12,cis-15 18:3 (18:3n-3)0.28
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.08
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.08
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.10
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.21
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.13
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.12
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.11
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0270.790<0.0010.024
      trans-9,trans-12,cis-15 18:3
      Coelutes with cis-9,cis-12,trans-15 18:3.
      0.003
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.006
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.005
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.002
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.006
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.015
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.006
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.009
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.0015<0.001<0.0010.013
      a–e Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      A–D Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      1 The incubated substrate was a TMR containing no additional PUFA (control) or supplemented with 2% DM of eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), or docosahexaenoic acid (DHA).
      2 Standard error of the difference.
      3 Probability of significant effects due to species (Sp), PUFA treatment (T), and their interaction (Sp × T).
      4 Coelutes with 10-hydroxy-18:0.
      5 In DPA treatment, coelutes with an unidentified peak.
      6 Contains trans-14 18:1 as a minor component.
      7 Coelutes with cis-8,cis-12 + cis-9,trans-15 + trans-9,cis-15 + trans-10,cis-14 18:2.
      8 Coelutes with cis-14 18:1 and cis-5,trans-9 + trans-9,trans-13 18:2.
      9 Contains cis-9 19:1 as a minor component.
      10 Coelutes with cis-11,cis-16 18:2.
      11 Coelutes with 11-cyclohexyl-11:0 and cis-10,trans-14 + trans-10,trans-13 + trans-11,trans-14 18:2.
      12 Coelutes with cis-12,cis-16 18:2.
      13 In EPA treatment, contains cis-14 20:1 as a minor component.
      14 In EPA treatment, coelutes with cis-16 20:1.
      15 Sum of trans-7,trans-9 + trans-8,trans-10 + trans-9,trans-11 CLA.
      16 Coelutes with cis-9,cis-12,trans-15 18:3.
      Both species showed a similar amount of 18:0 in the control (on average 55% of total FA). This FA was negatively affected by the 3 PUFA treatments (P < 0.05; Supplemental Table S1, https://doi.org/10.3168/jds.2017-12638), and effects tended to be different in bovine and ovine (interaction species × PUFA; P < 0.10; Table 2). Thus, the extent of the decrease in 18:0 was comparable with the 3 PUFA in cattle (a mean of −37% compared with the control) but not in sheep, where decreases were slightly less pronounced (on average −27% relative to the control) and there were differences between DHA and DPA.
      Five other saturated C18 FA were also detected in the digesta samples. In general, the concentrations of 10-, 13-, and 16-oxo-18:0 were greater in cattle (P < 0.05) and affected by treatments only in this species; the 3 PUFA reduced the accumulation of 13- and 16-oxo-18:0 (P < 0.05), and EPA increased 10-oxo-18:0 (P < 0.05; Table 2). On the other hand, the low concentrations of 15-oxo-18:0 (coeluting with an unidentified FA) in cows and ewes were only modified by DPA (P < 0.05; Supplemental Table S1, https://doi.org/10.3168/jds.2017-12638), which constitutes an exception to the overall effects of this PUFA on ruminal metabolites (i.e., the effects are generally similar or less pronounced than respective changes with EPA or DHA).
      Incubations with DHA favored the accumulation of cis-9 18:1 and trans-5 18:1 in bovine and ovine (P < 0.05; Table 2; Supplemental Table S1, https://doi.org/10.3168/jds.2017-12638). On the contrary, PUFA-induced changes in other cis- and trans-18:1 isomers usually interacted with the species (P < 0.05). For example, increments in the concentration of trans-11 18:1 in cows were greater in EPA and DHA treatments (a mean of 79% compared with the control) than in DPA treatments (35%), whereas DHA was the only PUFA that improved the accumulation of this FA in ewes (64%; P < 0.05). Other increments in minor 18:1 isomers, such as those induced by EPA and DHA on cis-16 and trans-15 and 16 18:1, were significant or more pronounced in sheep (P < 0.05). Regarding trans-10 18:1, DHA led to the greatest increase in both species (262% compared with controls; P < 0.05), but DPA affected it only in bovine (to a similar extent as DHA) and EPA in ovine cultures (150%; P < 0.05). Furthermore, EPA and DHA but not DPA increased the proportion of cis-11 18:1 (P < 0.05; Supplemental Table S1, https://doi.org/10.3168/jds.2017-12638).
      As mentioned previously, the effects of DPA on C18 FA concentrations were generally less marked than those of EPA or DHA. This observation was particularly evident for 18:2 isomers because DPA modified only 18:2n-6 and trans-12,cis-15 18:2 (P < 0.05; Supplemental Table S1, https://doi.org/10.3168/jds.2017-12638). Reductions in 18:2n-6 were also significant in cows on EPA and DHA (P < 0.05) as well as accumulation of some 18:2 metabolites in both species (e.g., cis-9,trans-12, trans-10,trans-14, and trans-9,trans-12 18:2; P < 0.05). Incubations with EPA showed the greatest concentrations of trans-11,cis-15 18:2 and trans-9,trans-14 18:2 (P < 0.05; Table 2; Supplemental Table S1, https://doi.org/10.3168/jds.2017-12638), but no significant response to PUFA was detected in the accumulation of the major CLA isomer (i.e., cis-9,trans-11 18:2; P > 0.10), and the tendency in the antilipogenic trans-10,cis-12 CLA disappeared after Bonferroni adjustment.
      Few 18:3 isomers were detected in the ruminal digesta, and their concentrations were low (Table 2). The 18:3n-3 was affected by PUFA only in cows (on average −69% compared with the control; P < 0.05), and the unresolved peak including 2 minor 18:3 intermediates (i.e., trans-9,trans-12,cis-15 and cis-9,cis-12,trans-15 18:3) was affected by EPA only in sheep (P < 0.05).
      Finally, in vitro ruminal disappearances of the 3 very long chain PUFA were very high after 24 h of incubation in both cows (first value of the following pairs) and ewes (last value), with mean data of 96 ± 1.0 and 97 ± 0.6% for EPA, 92 ± 0.6 and 94 ± 0.3 for DPA, and 75 ± 13.8 and 83% ± 8.1 for DHA. Values were significantly lower for DHA (P < 0.05), but no differences due to the ruminant species were detected (P > 0.10).

      Ruminal Fermentation

      Reductions in gas production and total VFA concentration (on average −7 and −9%, respectively) were observed in EPA and DHA incubations (P < 0.05; Table 3; Supplemental Table S1, https://doi.org/10.3168/jds.2017-12638). On the contrary, neither DM nor NDF disappearances varied significantly because of PUFA treatments or species (P > 0.10 for all pairwise comparisons after Bonferroni adjustment). Ammonia concentrations and pH were not affected by PUFA either (P > 0.10), but ammonia tended to be higher (on average 19%) in ewes (P < 0.10).
      Table 3Effect of very long chain n-3 PUFA on ruminal fermentation parameters after 24 h of in vitro incubation with rumen inocula from cows or ewes
      The incubated substrate was a TMR containing no additional PUFA (control) or supplemented with 2% DM of eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), or docosahexaenoic acid (DHA).
      ItemCowEweSED
      Standard error of the difference.
      P-value
      Probability of significant effects due to species (Sp), PUFA treatment (T), and their interaction (Sp × T).
      ControlEPADPADHAControlEPADPADHASpTSp × T
      DM disappearance, g/g0.710.700.750.670.700.760.740.740.0480.5190.3650.310
      NDF disappearance, g/g0.230.160.230.110.150.180.170.150.0430.5230.0860.080
      Gas production, mL/g of OM231.5
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      208.3
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      221.8
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      217.3
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      213.9
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      207.0
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      210.3
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      199.4
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      10.610.2900.0010.068
      Ammonia, mg/L470.2482.8499.3525.3574.6603.6555.3612.945.060.0560.2430.575
      pH6.526.496.476.476.436.456.416.450.0330.0860.3610.469
      Total VFA, mmol/L75.5
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      67.8
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      74.6
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      67.8
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      90.1
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      84.1
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      81.2
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      80.3
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      31.560.0310.0020.087
      Molar proportion, mol/mol
       Acetate0.62
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.56
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.61
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.56
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.64
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.61
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.62
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.60
      Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      0.0100.047<0.0010.077
       Propionate0.160.200.170.200.160.190.170.190.0650.672<0.0010.468
       Butyrate0.160.170.160.180.140.150.150.150.0480.0210.0030.141
       Others
      Calculated as the sum of isobutyrate, isovalerate, valerate, and caproate.
      0.059
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.069
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.061
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.070
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.058
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.057
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.056
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.061
      Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      0.00290.062<0.0010.002
      Acetate:propionate ratio3.852.893.612.843.973.263.613.150.1910.306<0.0010.280
      a,b Within a row, different superscripts indicate significant differences (P < 0.05) due to the effect of species × PUFA treatment.
      A–D Within a row, different superscripts indicate a trend toward significance (P < 0.10) due to the effect of species × PUFA treatment.
      1 The incubated substrate was a TMR containing no additional PUFA (control) or supplemented with 2% DM of eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), or docosahexaenoic acid (DHA).
      2 Standard error of the difference.
      3 Probability of significant effects due to species (Sp), PUFA treatment (T), and their interaction (Sp × T).
      4 Calculated as the sum of isobutyrate, isovalerate, valerate, and caproate.
      Total VFA were higher (P < 0.05) in ewes. Regarding VFA molar proportions, DPA had discernible effects only on propionate, whereas EPA and DHA decreased acetate and increased propionate and butyrate (P < 0.05). The PUFA-induced reductions in acetate tended to be slightly greater in cows (P < 0.10), but effects on the acetate:propionate ratio were similar in both species.

      DISCUSSION

      The interest in modulating the nutritional quality of milk fat has encouraged research on the mechanisms mediating the effects of supplementation with marine lipids rich in very long chain n-3 PUFA, which seem to be largely explained by changes in the ruminal environment (
      • Loor J.J.
      • Doreau M.
      • Chardigny J.M.
      • Ollier A.
      • Sebedio J.L.
      • Chilliard Y.
      Effects of ruminal or duodenal supply of fish oil on milk fat secretion and profiles of trans-fatty acids and conjugated linoleic acid isomers in dairy cows fed maize silage.
      ;
      • Toral P.G.
      • Belenguer A.
      • Shingfield K.J.
      • Hervás G.
      • Toivonen V.
      • Frutos P.
      Fatty acid composition and bacterial community changes in the rumen fluid of lactating sheep fed sunflower oil plus incremental levels of marine algae.
      ). This study provides a comparison of the effect of EPA, DPA, and DHA on the ruminal BH of dietary FA and fermentation and was conducted simultaneously in cows and sheep to provide novel insights into interspecies differences.
      The PCA was very helpful for describing the main trends in results. The response to PUFA treatment (related to PC1) explained the major part of the variability, and that of ruminant species (associated with PC2) was of lower relevance (Figure 1a). In the loading plot (Figure 1b), some of the most important BH and fermentation parameters were aligned with PC1 (e.g., 18:0 and acetate in the negative range; major 18:1 and 18:2 intermediates and propionate in the positive range), whereas those found in greater concentrations in ovine digesta were positively correlated with PC2 (e.g., minor metabolites of 18:3n-3 and ammonia) and placed in the area opposite some FA that were more abundant in bovine (e.g., 13- and 16-oxo-18:0). Although care is needed when extrapolating in vitro results to in vivo conditions, the general outcome of PCA is consistent with indirect comparisons between cows and ewes fed fish oil and PUFA-rich microalgae (e.g.,
      • Or-Rashid M.M.
      • Kramer J.K.G.
      • Wood M.A.
      • McBride B.W.
      Supplemental algal meal alters the ruminal trans-18:1 fatty acid and conjugated linoleic acid composition in cattle.
      ;
      • Toral P.G.
      • Belenguer A.
      • Shingfield K.J.
      • Hervás G.
      • Toivonen V.
      • Frutos P.
      Fatty acid composition and bacterial community changes in the rumen fluid of lactating sheep fed sunflower oil plus incremental levels of marine algae.
      ), suggesting less pronounced interspecies differences than those due to feeding high-concentrate diets and plant oils (
      • Shingfield K.J.
      • Bonnet M.
      • Scollan N.D.
      Recent developments in altering the fatty acid composition of ruminant-derived foods.
      ). Further in vivo comparative studies would be advisable to confirm this finding.
      Marine lipids with high contents of C20 and C22 PUFA have often been used to inhibit the saturation of trans-11 18:1 with the final goal of enhancing milk cis-9,trans-11 CLA (
      • Loor J.J.
      • Doreau M.
      • Chardigny J.M.
      • Ollier A.
      • Sebedio J.L.
      • Chilliard Y.
      Effects of ruminal or duodenal supply of fish oil on milk fat secretion and profiles of trans-fatty acids and conjugated linoleic acid isomers in dairy cows fed maize silage.
      ;
      • Toral P.G.
      • Hervás G.
      • Gómez-Cortés P.
      • Frutos P.
      • Juárez M.
      • de la Fuente M.A.
      Milk fatty acid profile and dairy sheep performance in response to diet supplementation with sunflower oil plus incremental levels of marine algae.
      ). In this regard, similar changes in trans-11 18:1 and 18:0 in EPA and DHA treatments suggest that both FA may be equally effective for meeting this objective and, therefore, supplements containing differing EPA:DHA ratios (e.g., fish oils or marine algae) would have comparable effects at the same PUFA dose. This contrasts with the greater concentrations of trans-11 18:1 and cis-9,trans-11 CLA reported by
      • Vahmani P.
      • Fredeen A.H.
      • Glover K.E.
      Effect of supplementation with fish oil or microalgae on fatty acid composition of milk from cows managed in confinement or pasture systems.
      in the milk of cows receiving DHA-rich algae compared with EPA-rich fish oil, possibly due to the presence of other bioactive compounds in marine algae. However, our results suggest that the contribution of DPA to trans-11 18:1 accumulation would be minor, and that of 20:3n-3 and 22:3n-3 was ruled out in a previous study (
      • AbuGhazaleh A.A.
      • Holmes L.D.
      • Jacobson B.N.
      • Kalscheur K.F.
      Short communication: Eicosatrienoic acid and docosatrienoic acid do not promote vaccenic acid accumulation in mixed ruminal cultures.
      ). An alternative explanation might lay on the form of fat supplements. They were added as free FA in our trial, whereas those used by
      • Vahmani P.
      • Fredeen A.H.
      • Glover K.E.
      Effect of supplementation with fish oil or microalgae on fatty acid composition of milk from cows managed in confinement or pasture systems.
      were protected from ruminal metabolism, and
      • Stamey J.A.
      • Shepherd D.M.
      • De Veth M.J.
      • Corl B.A.
      Use of algae or algal oil rich in n-3 fatty acids as a feed supplement for dairy cattle.
      reported that at a similar DHA dose, protected algae were more effective at inhibiting the last BH step than extracted algal oil.
      • AbuGhazaleh A.A.
      • Jenkins T.C.
      Disappearance of docosahexaenoic and eicosapentaenoic acids from cultures of mixed ruminal microorganisms.
      suggested a stronger inhibitory effect of DHA than EPA on in vitro trans 18:1 hydrogenation, but no individual isomers were reported in their work. In our case, the higher trans 18:1 accumulation with DHA is mainly accounted for by the greatest concentrations of trans-10 18:1 and trans-5 18:1 in both species and by trans-9, trans-12, and trans-15 in ovine, all deriving from alternative BH pathways. This would be in line with the different effect of DHA and EPA on the growth of some ruminal bacteria (
      • Maia M.R.G.
      • Chaudhary L.C.
      • Figueres L.
      • Wallace R.J.
      Metabolism of polyunsaturated fatty acids and their toxicity to the microflora of the rumen.
      ) and might have implications for animal performance due to the putative yet controversial antilipogenic activity of trans-10 18:1 (
      • Lock A.L.
      • Tyburczy C.
      • Dwyer D.A.
      • Harvatine K.J.
      • Destaillats F.
      • Mouloungui Z.
      • Candy L.
      • Bauman D.E.
      Trans-10 octadecenoic acid does not reduce milk fat synthesis in dairy cows.
      ;
      • Kadegowda A.K.G.
      • Bionaz M.
      • Piperova L.S.
      • Erdman R.A.
      • Loor J.J.
      Peroxisome proliferator-activated receptor-gamma activation and long-chain fatty acids alter lipogenic gene networks in bovine mammary epithelial cells to various extents.
      ). Nevertheless, compared with DHA, EPA induced similar or even larger increases in the accumulation of other metabolites that have been associated with fish oil–induced milk fat depression (MFD) in cows and ewes (
      • Kairenius P.
      • Ärölä A.
      • Leskinen H.
      • Toivonen V.
      • Ahvenjärvi S.
      • Vanhatalo A.
      • Huhtanen P.
      • Hurme T.
      • Griinari J.M.
      • Shingfield K.J.
      Dietary fish oil supplements depress milk fat yield and alter milk fatty acid composition in lactating cows fed grass silage based diets.
      ;
      • Toral P.G.
      • Chilliard Y.
      • Rouel J.
      • Leskinen H.
      • Shingfield K.J.
      • Bernard L.
      Comparison of the nutritional regulation of milk fat secretion and composition in cows and goats.
      ,
      • Toral P.G.
      • Hervás G.
      • Carreño D.
      • Frutos P.
      Does supplemental 18:0 alleviate fish oil-induced milk fat depression in dairy ewes?.
      ), specifically cis-11 18:1, 10-oxo-18:0, and, probably, trans-10,cis-15 18:2 (which coeluted with trans-11,cis-15 18:2 under our chromatographic conditions). The DPA had no effects on these candidate milk fat inhibitors. As expected, trans-10,cis-12 CLA, the only FA unequivocally shown to decrease mammary lipogenesis (
      • Harvatine K.J.
      • Boisclair Y.R.
      • Bauman D.E.
      Recent advances in the regulation of milk fat synthesis.
      ), was not affected by treatment, which is consistent with the small to negligible changes in its concentration in the digesta and milk of cows and ewes fed marine lipids rich in very long chain n-3 PUFA (
      • Lee M.R.F.
      • Tweed J.K.S.
      • Moloney A.P.
      • Scollan N.D.
      The effects of fish oil supplementation on rumen metabolism and the biohydrogenation of unsaturated fatty acids in beef steers given diets containing sunflower oil.
      ;
      • Boeckaert C.
      • Vlaeminck B.
      • Dijkstra J.
      • Issa-Zacharia A.
      • Van Nespen T.
      • Van Straalen W.
      • Fievez V.
      Effect of dietary starch or micro algae supplementation on rumen fermentation and milk fatty acid composition of dairy cows.
      ;
      • Toral P.G.
      • Belenguer A.
      • Shingfield K.J.
      • Hervás G.
      • Toivonen V.
      • Frutos P.
      Fatty acid composition and bacterial community changes in the rumen fluid of lactating sheep fed sunflower oil plus incremental levels of marine algae.
      ).
      Notwithstanding the above, there were also interspecies differences in the effects of PUFA that may have practical implications. For example, variations in 18:0 and trans-11 18:1 after the addition of EPA, DPA, or DHA suggest that under the same basal diet and dose of lipids, the rumen microbiota of cows would be more sensitive than that of ewes to supplements rich in C20 and C22 PUFA. This might be related to the severity of marine lipid–induced MFD in each species because, in the absence of direct in vivo comparisons between lactating animals, greater decreases in milk fat concentration have been observed in bovines (upper range of 37–54%;
      • Boeckaert C.
      • Vlaeminck B.
      • Dijkstra J.
      • Issa-Zacharia A.
      • Van Nespen T.
      • Van Straalen W.
      • Fievez V.
      Effect of dietary starch or micro algae supplementation on rumen fermentation and milk fatty acid composition of dairy cows.
      ;
      • Alizadeh A.R.
      • Alikhani M.
      • Ghorbani G.R.
      • Rahmani H.R.
      • Rashidi L.
      • Loor J.J.
      Effects of feeding roasted safflower seeds (variety IL-111) and fish oil on dry matter intake, performance and milk fatty acid profiles in dairy cattle.
      ) than in ovines (up to 31%;
      • Toral P.G.
      • Hervás G.
      • Gómez-Cortés P.
      • Frutos P.
      • Juárez M.
      • de la Fuente M.A.
      Milk fatty acid profile and dairy sheep performance in response to diet supplementation with sunflower oil plus incremental levels of marine algae.
      ;
      • Carreño D.
      • Hervás G.
      • Toral P.G.
      • Castro-Carrera T.
      • Frutos P.
      Fish oil-induced milk fat depression and associated downregulation of mammary lipogenic genes in dairy ewes.
      ). However, increases in some minor metabolites (e.g., trans-13, trans-16, and cis-16 18:1; cis-11,trans-13 18:2; and trans-9,trans-12,trans-15 and cis-9,cis-12,trans-15 18:3) were greater in sheep, suggesting that some alternative BH pathways would have been more favored in this species. A similar inference was obtained when comparing ruminal responses of goats and cows to fish oil supply (
      • Toral P.G.
      • Bernard L.
      • Belenguer A.
      • Rouel J.
      • Hervás G.
      • Chilliard Y.
      • Frutos P.
      Comparison of ruminal lipid metabolism in dairy cows and goats fed diets supplemented with starch, plant oil, or fish oil.
      ). Given the low responsiveness of small ruminants to other milk fat–depressing conditions (e.g., feeding high-starch diets and plant lipids;
      • Shingfield K.J.
      • Bonnet M.
      • Scollan N.D.
      Recent developments in altering the fatty acid composition of ruminant-derived foods.
      ), this would merit further research to determine whether the promotion of these alternative BH pathways may actually be related to the development of fish oil–induced MFD in sheep and goats (
      • Toral P.G.
      • Chilliard Y.
      • Rouel J.
      • Leskinen H.
      • Shingfield K.J.
      • Bernard L.
      Comparison of the nutritional regulation of milk fat secretion and composition in cows and goats.
      ,
      • Toral P.G.
      • Hervás G.
      • Carreño D.
      • Frutos P.
      Does supplemental 18:0 alleviate fish oil-induced milk fat depression in dairy ewes?.
      ).
      Increases in cis-9, cis-11, and cis-16 18:1 support that not only trans 18:1 but also cis 18:1 saturation was limited by very long chain n-3 PUFA (
      • AbuGhazaleh A.A.
      • Jenkins T.C.
      Disappearance of docosahexaenoic and eicosapentaenoic acids from cultures of mixed ruminal microorganisms.
      ;
      • Boeckaert C.
      • Vlaeminck B.
      • Fievez V.
      • Maignien L.
      • Dijkstra J.
      • Boon N.
      Accumulation of trans C-18:1 fatty acids in the rumen after dietary algal supplementation is associated with changes in the Butyrivibrio community.
      ). Similarly, 18:2 and 18:3 hydrogenation might have been constrained, in particular by EPA, which induced the greatest trans-11,cis-15 18:2, trans-9,trans-14 18:2, and trans-9,trans-12,cis-15 18:3 accumulation. All these isomers may derive from 18:3n-3 metabolism (
      • Shingfield K.J.
      • Bonnet M.
      • Scollan N.D.
      Recent developments in altering the fatty acid composition of ruminant-derived foods.
      ), suggesting a specific effect of EPA on the microbiota involved in this process. These results would not be explained by a general slowdown of its ruminal metabolism because 18:3n-3 was also decreased. Concerning DPA, in general the responses in 18:2 and 18:3 metabolites to this FA were marginal, reinforcing its putative minor role in explaining the effects of marine lipids.
      Surprisingly, PUFA-induced variation in 18:2 concentrations was not accompanied by relevant differences in CLA isomers. A low and stable percentage of cis-9,trans-11 CLA was found in both species, which contrasts with the greater increase in the accumulation of its precursor for mammary Δ9-desaturation (trans-11 18:1). This supports the idea that interspecies differences in the magnitude of milk rumenic acid enrichments to C20 and C22 PUFA supply would be independent of ruminal CLA flow and explained by postruminal FA metabolism (
      • Loor J.J.
      • Doreau M.
      • Chardigny J.M.
      • Ollier A.
      • Sebedio J.L.
      • Chilliard Y.
      Effects of ruminal or duodenal supply of fish oil on milk fat secretion and profiles of trans-fatty acids and conjugated linoleic acid isomers in dairy cows fed maize silage.
      ;
      • Reynolds C.K.
      • Cannon V.L.
      • Loerch S.C.
      Effects of forage source and supplementation with soybean and marine algal oil on milk fatty acid composition of ewes.
      ;
      • Carreño D.
      • Hervás G.
      • Toral P.G.
      • Castro-Carrera T.
      • Frutos P.
      Fish oil-induced milk fat depression and associated downregulation of mammary lipogenic genes in dairy ewes.
      ).
      According to changes in oxo-FA concentrations, ruminal hydration (an alternative metabolic pathway to BH) would have also been affected by PUFA treatments, with species-specific responses consistent with differences in hydrating bacteria in the rumen of cattle and sheep (
      • Hudson J.A.
      • Cai Y.
      • Corner R.J.
      • Morvan B.
      • Joblin K.N.
      Identification and enumeration of oleic acid and linoleic acid hydrating bacteria in the rumen of sheep and cows.
      ). A putative link between keto-FA and marine lipid–induced MFD has been proposed based on the increases in 10-oxo-18:0 percentage in the digesta and milk of cows and ewes receiving fish oil (
      • Kairenius P.
      • Ärölä A.
      • Leskinen H.
      • Toivonen V.
      • Ahvenjärvi S.
      • Vanhatalo A.
      • Huhtanen P.
      • Hurme T.
      • Griinari J.M.
      • Shingfield K.J.
      Dietary fish oil supplements depress milk fat yield and alter milk fatty acid composition in lactating cows fed grass silage based diets.
      ;
      • Toral P.G.
      • Chilliard Y.
      • Rouel J.
      • Leskinen H.
      • Shingfield K.J.
      • Bernard L.
      Comparison of the nutritional regulation of milk fat secretion and composition in cows and goats.
      ,
      • Toral P.G.
      • Hervás G.
      • Carreño D.
      • Frutos P.
      Does supplemental 18:0 alleviate fish oil-induced milk fat depression in dairy ewes?.
      ) and the bioactivity of other oxylipids derived from dietary FA (
      • Raphael W.
      • Halbert L.
      • Contreras G.A.
      • Sordillo L.M.
      Association between polyunsaturated fatty acid-derived oxylipid biosynthesis and leukocyte inflammatory marker expression in periparturient dairy cows.
      ). The most abundant keto-FA was 16-oxo-18:0, as reported in the rumen of cows (
      • Katz I.
      • Keeney M.
      Occurrence of ketostearic acids in rumen.
      ), which is rarely quantified in the digesta, probably because of its elution at the end of the chromatogram.
      Overall, changes in 18-carbon intermediate metabolites showed no clear association with differences in the in vitro disappearance of the 3 incubated PUFA, which would call into question a putative relationship between the latter parameter and potentially toxic effects of these PUFA on rumen microorganisms (
      • Dohme F.
      • Fievez V.
      • Raes K.
      • Demeyer D.I.
      Increasing levels of two different fish oils lower ruminal biohydrogenation of eicosapentaenoic and docosahexaenoic acid in vitro.
      ;
      • Maia M.R.G.
      • Chaudhary L.C.
      • Figueres L.
      • Wallace R.J.
      Metabolism of polyunsaturated fatty acids and their toxicity to the microflora of the rumen.
      ;
      • Lourenço M.
      • Ramos-Morales E.
      • Wallace R.J.
      The role of microbes in rumen lipolysis and biohydrogenation and their manipulation.
      ). The in vitro disappearance was more extensive for EPA than for DHA, consistent with previous investigations (
      • Gulati S.K.
      • Ashes J.R.
      • Scott T.W.
      Hydrogenation of eicosapentaenoic and docosahexaenoic acids and their incorporation into milk fat.
      ;
      • Dohme F.
      • Fievez V.
      • Raes K.
      • Demeyer D.I.
      Increasing levels of two different fish oils lower ruminal biohydrogenation of eicosapentaenoic and docosahexaenoic acid in vitro.
      ;
      • AbuGhazaleh A.A.
      • Jenkins T.C.
      Disappearance of docosahexaenoic and eicosapentaenoic acids from cultures of mixed ruminal microorganisms.
      ), but the reasons explaining this finding and the greater variability observed for DHA in our trial remain uncertain. Earlier in vitro studies reported a very wide range of C20 and C22 PUFA disappearances (from ∼10% to almost 100%), which appear to be related to large differences in PUFA dose and inoculum amount (
      • Gulati S.K.
      • Ashes J.R.
      • Scott T.W.
      Hydrogenation of eicosapentaenoic and docosahexaenoic acids and their incorporation into milk fat.
      ;
      • AbuGhazaleh A.A.
      • Jenkins T.C.
      Disappearance of docosahexaenoic and eicosapentaenoic acids from cultures of mixed ruminal microorganisms.
      ;
      • Vlaeminck B.
      • Braeckman T.
      • Fievez V.
      Rumen metabolism of 22:6n-3 in vitro is dependent on its concentration and inoculum size, but less dependent on substrate carbohydrate composition.
      ). Our results would be on the upper part of this range, in agreement with most in vivo trials in cows and sheep (
      • Shingfield K.J.
      • Ahvenjärvi S.
      • Toivonen V.
      • Äröla A.
      • Nurmela K.V.V.
      • Huhtanen P.
      • Griinari J.M.
      Effect of dietary fish oil on biohydrogenation of fatty acids and milk fatty acid content in cows.
      ;
      • Chikunya S.
      • Demirel G.
      • Enser M.
      • Wood J.D.
      • Wilkinson R.G.
      • Sinclair L.A.
      Biohydrogenation of dietary n-3 PUFA and stability of ingested vitamin E in the rumen, and their effects on microbial activity in sheep.
      ;
      • Kim E.J.
      • Huws S.A.
      • Lee M.R.F.
      • Wood J.D.
      • Muetzel S.M.
      • Wallace R.J.
      • Scollan N.D.
      Fish oil increases the duodenal flow of long chain polyunsaturated fatty acids and trans-11 18:1 and decreases 18:0 in steers via changes in the rumen bacterial community.
      ). The fact that DPA and EPA disappearances were similar would indicate that the higher apparent transfer efficiency of the former into milk (
      • Offer N.W.
      • Marsden M.
      • Dixon J.
      • Speake B.K.
      • Thacker F.E.
      Effect of dietary fat supplements on levels of n-3 poly-unsaturated fatty acids, trans acids and conjugated linoleic acid in bovine milk.
      ;
      • Toral P.G.
      • Hervás G.
      • Carreño D.
      • Frutos P.
      Does supplemental 18:0 alleviate fish oil-induced milk fat depression in dairy ewes?.
      ) is largely dependent on postruminal FA metabolism. This may involve its endogenous synthesis in body tissues (e.g., through EPA elongation;
      • Miyazaki M.
      • Ntambi J.M.
      Fatty acid desaturation and chain elongation in mammals.
      ) or a more efficient mammary uptake. Based on indirect interspecies comparisons, the apparent transfer efficiency of very long chain n-3 PUFA into milk was considered to be greater in ovines than in bovines (
      • Offer N.W.
      • Marsden M.
      • Dixon J.
      • Speake B.K.
      • Thacker F.E.
      Effect of dietary fat supplements on levels of n-3 poly-unsaturated fatty acids, trans acids and conjugated linoleic acid in bovine milk.
      ;
      • Loor J.J.
      • Doreau M.
      • Chardigny J.M.
      • Ollier A.
      • Sebedio J.L.
      • Chilliard Y.
      Effects of ruminal or duodenal supply of fish oil on milk fat secretion and profiles of trans-fatty acids and conjugated linoleic acid isomers in dairy cows fed maize silage.
      ;
      • Reynolds C.K.
      • Cannon V.L.
      • Loerch S.C.
      Effects of forage source and supplementation with soybean and marine algal oil on milk fatty acid composition of ewes.
      ). Because our results do not indicate interspecies differences in their ruminal disappearance, those in postruminal FA metabolism might be more relevant. Additional in vivo research would be needed to provide further insight into the metabolic fate of these very long chain n-3 PUFA in ruminant tissues.
      No clear relationship was found between in vitro disappearance of the incubated PUFA and fermentation, which also challenges the hypothesis of a link between extent of disappearance and toxicity for the microbiota. Nonetheless, a certain association may exist between the effects of PUFA treatments on ruminal BH and fermentation, with EPA and DHA having a higher influence. In any event, effects on fermentation were generally less severe than those detected on BH, which might be related to the lower number of biohydrogenating bacteria species compared with fibrolytic and proteolytic ones and the ability of the rumen microbiota to adapt to environmental changes (
      • Dehority B.A.
      ;
      • Lourenço M.
      • Ramos-Morales E.
      • Wallace R.J.
      The role of microbes in rumen lipolysis and biohydrogenation and their manipulation.
      ). Microorganisms negatively affected by PUFA could have been replaced by strains that were less sensitive to the toxicity of PUFA (
      • Maia M.R.G.
      • Chaudhary L.C.
      • Figueres L.
      • Wallace R.J.
      Metabolism of polyunsaturated fatty acids and their toxicity to the microflora of the rumen.
      ). These variations in microbial composition may then explain shifts in molar VFA proportions, in particular the lower acetate:propionate ratio. This is often found in the literature in response to very long chain n-3 PUFA supply, notwithstanding differences in methodologies (in vitro vs. in vivo), ruminant species (cows, sheep, and goats), or basal diet composition (
      • Keady T.W.J.
      • Mayne C.S.
      The effects of level of fish oil inclusion in the diet on rumen digestion and fermentation parameters in cattle offered grass silage based diets.
      ;
      • Fievez V.
      • Dohme F.
      • Danneels M.
      • Raes K.
      • Demeyer D.
      Fish oils as potent rumen methane inhibitors and associated effects on rumen fermentation in vitro and in vivo.
      ;
      • Toral P.G.
      • Bernard L.
      • Belenguer A.
      • Rouel J.
      • Hervás G.
      • Chilliard Y.
      • Frutos P.
      Comparison of ruminal lipid metabolism in dairy cows and goats fed diets supplemented with starch, plant oil, or fish oil.
      ). Turning to the PCA results, it may be tempting to speculate about certain associations between microorganisms that produce acetate and 18:0, as both acetate and 18:0 seem sensitive to the effects of C20 and C22 PUFA, in contrast with those involved in alternative BH pathways and propionate production, which appear to be favored and interrelated.
      The trend toward lower gas production and total VFA concentration with EPA and DHA was expected (
      • Toral P.G.
      • Belenguer A.
      • Frutos P.
      • Hervás G.
      Effect of the supplementation of a high-concentrate diet with sunflower and fish oils on ruminal fermentation in sheep.
      ;
      • Shingfield K.J.
      • Kairenius P.
      • Äröla A.
      • Paillard D.
      • Muetzel S.
      • Ahvenjärvi S.
      • Vanhatalo A.
      • Huhtanen P.
      • Toivonen V.
      • Griinari J.M.
      • Wallace R.J.
      Dietary fish oil supplements modify ruminal biohydrogenation, alter the flow of fatty acids at the omasum, and induce changes in the ruminal Butyrivibrio population in lactating cows.
      ) given the relatively high PUFA dose (equivalent to the addition of ∼3.5–5% DM of fish oil or marine algae to the diet;
      • Keady T.W.J.
      • Mayne C.S.
      The effects of level of fish oil inclusion in the diet on rumen digestion and fermentation parameters in cattle offered grass silage based diets.
      ;
      • Offer N.W.
      • Marsden M.
      • Dixon J.
      • Speake B.K.
      • Thacker F.E.
      Effect of dietary fat supplements on levels of n-3 poly-unsaturated fatty acids, trans acids and conjugated linoleic acid in bovine milk.
      ;
      • Boeckaert C.
      • Vlaeminck B.
      • Dijkstra J.
      • Issa-Zacharia A.
      • Van Nespen T.
      • Van Straalen W.
      • Fievez V.
      Effect of dietary starch or micro algae supplementation on rumen fermentation and milk fatty acid composition of dairy cows.
      ). Despite inherent limitations of the in vitro technique, our lack of significant changes in DM and NDF disappearance will contribute to the controversy found in the literature on this subject, with some studies reporting similar results in both cows and ewes (e.g.,
      • Keady T.W.J.
      • Mayne C.S.
      The effects of level of fish oil inclusion in the diet on rumen digestion and fermentation parameters in cattle offered grass silage based diets.
      ;
      • Toral P.G.
      • Belenguer A.
      • Frutos P.
      • Hervás G.
      Effect of the supplementation of a high-concentrate diet with sunflower and fish oils on ruminal fermentation in sheep.
      ) but some others including reductions in fiber degradation (e.g.,
      • Fievez V.
      • Dohme F.
      • Danneels M.
      • Raes K.
      • Demeyer D.
      Fish oils as potent rumen methane inhibitors and associated effects on rumen fermentation in vitro and in vivo.
      ;
      • Kim E.J.
      • Huws S.A.
      • Lee M.R.F.
      • Wood J.D.
      • Muetzel S.M.
      • Wallace R.J.
      • Scollan N.D.
      Fish oil increases the duodenal flow of long chain polyunsaturated fatty acids and trans-11 18:1 and decreases 18:0 in steers via changes in the rumen bacterial community.
      ).

      CONCLUSIONS

      Overall, EPA and DHA were equally effective for inhibiting the saturation of trans-11 18:1 to 18:0 and had a similar effect on ruminal fermentation in cows and sheep. However, DHA further promoted alternative BH pathways that led to trans-10 18:1 accumulation, and EPA may have had specific effects on 18:3n-3 metabolism. Minor variations in 18-carbon FA concentrations and rumen fermentation parameters due to DPA suggested a low contribution of this lipid to the ruminal response to marine lipid supply. Most changes due to the 3 PUFA were comparable in bovine and ovine, but there were also relevant specificities (e.g., a stronger inhibition of 18:0 formation in cows and a greater increase in 18:3n-3 intermediate metabolites in sheep), which probably derived from interspecies differences in rumen microbial composition. No direct relationship between in vitro disappearance of the incubated PUFA and effects on BH (in particular, inhibition of the last step) was found in either cows or ewes, calling into question a putative link between extent of disappearance and toxicity of these PUFA for microbiota. Conversely, an association between the influence of very long chain n-3 PUFA on ruminal lipid metabolism and fermentation may exist in both species. Given the limitations of the in vitro batch cultures of rumen microorganisms, in vivo verification of these findings would be advisable.

      ACKNOWLEDGMENTS

      We dedicate this article to the memory of Kevin J. Shingfield, a renowned expert in ruminant lipid metabolism and, above all, a good friend of ours. This work was supported by the Spanish Ministry of Economy and Competitiveness (MINECO; AGL2014-54587-R) and the Spanish National Research Council (CSIC; PIE201540E104). P. G. Toral benefits from a Ramón y Cajal research contract and D. Carreño benefits from an FPI predoctoral grant, both from MINECO. Cofunding by the European Regional Development Fund is also acknowledged.

      Supplementary Material

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