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Research| Volume 107, ISSUE 2, P902-916, February 2024

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Supply of palmitic, stearic, and oleic acid changes rumen fiber digestibility and microbial composition

Open AccessPublished:September 28, 2023DOI:https://doi.org/10.3168/jds.2023-23568

      ABSTRACT

      The concept that fat supplementation impairs total-tract fiber digestibility in ruminants has been widely accepted over the past decades. Nevertheless, the recent interest in the dietary fatty acid profile to dairy cows enlightened the possible beneficial effect of specific fatty acids (e.g., palmitic, stearic, and oleic acids) on total-tract fiber digestibility. Because palmitic, stearic, and oleic acids are the main fatty acids present in ruminal bacterial cells, we hypothesize that the dietary supply of these fatty acids will favor their incorporation into the bacterial cell membranes, which will support the growth and enrichment of fiber-digesting bacteria in the rumen. Our objective in this experiment was to investigate how dietary supply of palmitic, stearic, and oleic acid affect fiber digestion, bacterial membrane fatty acid profile, microbial growth, and composition of the rumen bacterial community. Diets were randomly assigned to 8 single-flow continuous culture fermenters arranged in a replicated 4 × 4 Latin square with four 11-d experimental periods. Treatments were (1) a control basal diet without supplemental fatty acids (CON); (2) the control diet plus palmitic acid (PA); (3) the control diet plus stearic acid (SA); and (4) the control diet plus oleic acid (OA). All fatty acid treatments were included in the diet at 1.5% of the diet (dry matter [DM] basis). The basal diet contained 50% orchardgrass hay and 50% concentrate (DM basis) and was supplied at a rate of 60 g of DM/d in 2 equal daily offers (0800 and 1600 h). Data were analyzed using a mixed model considering treatments as fixed effect and period and fermenter as random effects. Our results indicate that PA increased in vitro fiber digestibility by 6 percentage units compared with the CON, while SA had no effect and OA decreased fiber digestibility by 8 percentage units. Oleic acid decreased protein expression of the enzymes acetyl-CoA carboxylase compared with CON and PA, while fatty acid synthase was reduced by PA, SA, and OA. We observed that PA, but not SA or OA, altered the bacterial community composition by enhancing bacterial groups responsible for fiber digestion. Although the dietary fatty acids did not affect the total lipid content and the phospholipid fraction in the bacterial cell, PA increased the flow of anteiso C13:0 and anteiso C15:0 in the phospholipidic membrane compared to the other treatments. In addition, OA increased the flow of C18:1 cis-9 and decreased C18:2 cis-9,cis-12 in the bacterial phospholipidic membranes compared to the other treatments. Palmitic acid tended to increase bacterial growth compared to other treatments, whereas SA and OA did not affect bacterial growth compared with CON. To our knowledge, this is the first research providing evidence that palmitic acid supports ruminal fiber digestion through shifts in bacterial fatty acid metabolism that result in changes in growth and abundance of fiber-degrading bacteria in the microbial community.

      Key words

      INTRODUCTION

      Fiber digestion is a key driver to optimize the efficiency of milk and meat production by ruminants, as well as the profitability and sustainability of the production systems (
      • Adesogan A.T.
      • Arriola K.G.
      • Jiang Y.
      • Oyebade A.
      • Paula E.M.
      • Pech-Cervantes A.A.
      • Romero J.J.
      • Ferraretto L.F.
      • Vyas D.
      Symposium review: Technologies for improving fiber utilization.
      ). Improvements in animal performance associated with fiber digestion are due to a positive effect on feed intake and energy absorption. A one-unit increase in fiber digestibility (measured as NDF) was associated with a 0.17 kg increase in DMI and a 0.25 kg increase in 4% FCM in dairy cows (
      • Oba M.
      • Allen M.S.
      Evaluation of the importance of the digestibility of neutral detergent fiber from forage: Effects on dry matter intake and milk yield of dairy cows.
      ). Furthermore, increasing fiber digestibility can support the sustainable production of ruminants by decreasing the intensity of greenhouse gas emissions and nitrogen excretion per unit of food produced, as well as diminishing land and water use, without sacrificing lucrativeness (
      • White R.R.
      Increasing energy and protein use efficiency improves opportunities to decrease land use, water use, and greenhouse gas emissions from dairy production.
      ;
      • Hassanat F.
      • Gervais R.
      • Benchaar C.
      Methane production, ruminal fermentation characteristics, nutrient digestibility, nitrogen excretion, and milk production of dairy cows fed conventional or brown midrib corn silage.
      ).
      Although supplementing fat to dairy cows is a common practice to boost dietary energy density and animal performance, it has been extensively acknowledged since the 1950s that supplemental fat impairs fiber digestibility (
      • Palmquist D.L.
      • Jenkins T.C.
      A 100-year review: Fat feeding of dairy cows.
      ). However, specific characteristics of individual fatty acids, such as the number of carbons and unsaturation, may differently affect the digestive process. Recent interest in dietary fatty acid profile and its metabolic and physiological effects on dairy cattle suggested that not all long-chain fatty acids negatively affect total-tract fiber digestibility (
      • Weld K.A.
      • Armentano L.E.
      The effects of adding fat to diets of lactating dairy cows on total-tract neutral detergent fiber digestibility: A meta-analysis.
      ). Interestingly, feeding specific fatty acids can even enhance total-tract fiber digestibility. For instance, feeding a palmitic acid–enriched supplement (1.5% diet DM) to mid-lactating dairy cows increased NDF digestibility by 4 to 5 percentage units compared with a nonfat-supplemented diet (
      • de Souza J.
      • Lock A.L.
      Long-term palmitic acid supplementation interacts with parity in lactating dairy cows: Production responses, nutrient digestibility, and energy partitioning.
      ;
      • Sears A.
      • Gonzalez O.
      • Alberto A.
      • Young A.
      • de Souza J.
      • Relling A.
      • Batistel F.
      Effect of feeding a palmitic acid-enriched supplement on production responses and nitrogen metabolism of mid-lactating Holstein and Jersey cows.
      ). Similarly, studies with early-lactating cows receiving either a palmitic acid and stearic acid supplement (2% diet DM; 47% stearic acid and 37% palmitic acid) or a fat blend (1.5% diet DM) containing increasing levels of oleic acid (10%–30%) replacing palmitic acid (60%–80%) reported higher total-tract fiber digestibility compared with a nonfat-supplemented diets (
      • Piantoni P.
      • Lock A.L.
      • Allen M.S.
      Milk production responses to dietary stearic acid vary by production level in dairy cattle.
      ;
      • de Souza J.
      • Prom C.M.
      • Lock A.L.
      Altering the ratio of dietary palmitic and oleic acids affects production responses during the immediate postpartum and carryover periods in dairy cows.
      ). What remains unknown is the mechanism underlying how palmitic, stearic, and oleic acid enhance fiber digestion. Because the rumen is the main site of fiber fermentation in ruminants, it is plausible to speculate that the modulatory effects of these fatty acids on fiber digestion are rumen related.
      Fiber digestion in the rumen is predominantly done by bacteria (
      • Varga G.A.
      • Kolver E.S.
      Microbial and animal limitations to fiber digestion and utilization.
      ), and alterations in bacterial growth, community composition, and activity can enhance fiber digestion. In nonrumen bacteria, it is well established that exogenous long-chain fatty acids are incorporated into the cell membranes minimizing energy expenditure with fatty acid synthesis (
      • Parsons J.B.
      • Frank M.W.
      • Jackson P.
      • Subramanian C.
      • Rock C.O.
      Incorporation of extracellular fatty acids by a fatty acid kinase-dependent pathway in Staphylococcus aureus..
      ;
      • Herndon J.L.
      • Peters R.E.
      • Hofer R.N.
      • Simmons T.B.
      • Symes S.J.
      • Giles D.K.
      Exogenous polyunsaturated fatty acids (PUFAs) promote changes in growth, phospholipid composition, membrane permeability and virulence phenotypes in Escherichia coli..
      ). Nevertheless, to the best of our knowledge, there has been no previous studies examining the incorporation of exogenous fatty acids into the membrane of rumen bacteria. Because palmitic, stearic, and oleic acid represent ∼68% of fatty acid composition of mixed rumen bacteria (
      • Or-Rashid M.M.
      • Odongo N.E.
      • McBride B.W.
      Fatty acid composition of ruminal bacteria and protozoa, with emphasis on conjugated linoleic acid, vaccenic acid, and odd-chain and branched-chain fatty acids.
      ), we hypothesize that the exogenous supply of these fatty acids will favor their incorporation into the bacterial cell membranes, which will support growth and enrichment of fiber-digesting bacteria in the rumen. Our objective in this experiment was to investigate how the dietary supply of palmitic, stearic, and oleic acid affects fiber digestion, bacterial membrane fatty acid profile, microbial growth, and composition of the rumen bacterial community.

      MATERIALS AND METHODS

      Experimental Design and Diets

      The Institutional Animal Care and Use Committee at Utah State University, Logan, Utah, approved the care and handling of ruminal fluid donor animals (protocol no. 10145). Diets were randomly assigned to 8 single-flow continuous culture fermenters, designed according to
      • Teather R.M.
      • Sauer F.D.
      A naturally compartmented rumen simulation system for the continuous culture of rumen bacteria and protozoa.
      . The treatments were arranged in a replicate 4 × 4 Latin square design with 4 11-d experimental periods, consisting of 7 d for diet adaptation and 4 d for sample collection. The basal diet contained 50% orchardgrass hay and 50% concentrate (DM basis) and was supplied at a rate of 60 g of DM/d in 2 equal daily offers (0800 and 1600 h). Treatments were (1) the basal diet without supplemental fatty acids (CON); (2) the basal diet plus PA (99% C16:0; catalog no. P0500, Sigma-Aldrich); (3) the basal diet plus stearic acid (SA; 99% C18:0; catalog no. S4751, Sigma-Aldrich); and (4) the basal diet plus oleic acid (OA; 99% cis-9 C18:1; catalog no. O1008, Sigma-Aldrich). All fatty acid treatments were included at 1.5% of the diet (DM basis). The level of PA inclusion is based on
      • Wenner B.
      • St-Pierre N.
      Palmitic fatty acid dosed in continuous culture fermenters increases fiber digestibility estimates.
      ; they observed maximum NDF digestibility in vitro with the inclusion of 1% to 2% of PA in the diet. Because there is a lack of studies investigating levels of stearic and OA on rumen fermentation and animal performance, we chose the level of PA and maintained the same feeding level across treatments to avoid a confounding effect of fatty acid dose. Notably, the dose of 1.5% of supplemental fatty acids in the diet falls within the range of fatty acid inclusion used in recent studies (
      • dos Santos Neto J.M.
      • de Souza J.
      • Lock A.L.
      Nutrient digestibility and production responses of lactating dairy cows when saturated free fatty acid supplements are included in diets: A meta-analysis.
      ), and this dose is also commonly used in the field. Dietary ingredients and chemical composition are presented in Table 1. The concentrate was grounded to pass a 2-mm screen (Wiley mill; Thomson Scientific, Philadelphia, PA) and the orchard grass hay was pelleted. Concentrate and hay were weighed into labeled plastic cups, then the fatty acid treatments were added and mixed with the diet. Cups were sealed and stored at 4°C before administration.
      Table 1Dietary ingredients and chemical compositions of diets
      ItemTreatment
      The control (CON) was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments were added to the basal diet at a concentration of 1.5% (DM basis).
      ControlPalmiticStearicOleic
      Ingredient, % DM
       Orchardgrass hay50.049.349.349.3
       Ground corn15.615.415.415.4
       Canola meal15.014.714.714.7
       Beat pulp4.44.44.44.4
       Wheat middlings13.513.213.213.2
       Palmitic acid 99%1.50
       Stearic acid 99%1.50
       Oleic acid 99%1.50
       Mineral and vitamin mix
      Vitamin and mineral mix contained 35% dry ground corn, 25.0% white salt, 22% calcium carbonate, 9.1% monocalcium phosphate (Biofos, The Mosaic Co., Plymouth, MN), 4% magnesium oxide, 2% soybean oil, and <1% of each of the following: manganese sulfate, zinc sulfate, ferrous sulfate, copper sulfate, iodine, cobalt carbonate, and selenium.
      1.501.501.501.50
      Nutrient composition,
      Samples were composited by period. Mean ± SE (n = 4).
      % DM
       NDF38.7 ± 0.4538.2 ± 0.4738.2 ± 0.4738.2 ± 0.47
       CP14.6 ± 0.1814.4 ± 0.2014.4 ± 0.2014.4 ± 0.20
       Starch16.9 ± 0.2516.7 ± 0.2716.7 ± 0.2716.7 ± 0.27
       Fatty acids2.44 ± 0.123.91 ± 0.063.92 ± 0.083.90 ± 0.08
      1 The control (CON) was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments were added to the basal diet at a concentration of 1.5% (DM basis).
      2 Vitamin and mineral mix contained 35% dry ground corn, 25.0% white salt, 22% calcium carbonate, 9.1% monocalcium phosphate (Biofos, The Mosaic Co., Plymouth, MN), 4% magnesium oxide, 2% soybean oil, and <1% of each of the following: manganese sulfate, zinc sulfate, ferrous sulfate, copper sulfate, iodine, cobalt carbonate, and selenium.
      3 Samples were composited by period. Mean ± SE (n = 4).

      Continuous Culture System Operation

      At the beginning of each period, ruminal content was collected before morning feeding (0630 h) from 2 rumen-cannulated lactating cows fed a lactating diet (50% forage and 50% concentrate). The ruminal digesta was collected from the ventral, central, and dorsal areas of the rumen and then filtered through double-layered grade 60 cheese cloth into pre-warmed 39°C containers. The containers were kept at 39°C in a pre-heated water bath and immediately transported to the laboratory. The ruminal fluid was homogenized and mixed with artificial saliva (
      • Weller R.A.
      • Pilgrim A.F.
      Passage of protozoa and volatile fatty acids from the rumen of the sheep and from a continuous in vitro fermentation system.
      ) containing 0.4 g/L of urea in a 1:1 proportion and maintained at 39°C. The ruminal fluid and artificial saliva mixture was poured into each fermenter until it cleared the overflow spout. During the whole experiment, fermenters were maintained at 39°C, carbon dioxide (20 mL/min) was continuously infused to maintain anaerobic conditions, and the fermenters content was uninterruptedly stirred by a central paddle set at a speed of 50 rpm. Artificial saliva was continuously bubbled with carbon dioxide to maintain anaerobic condition and was delivered continuously at 10%/h fractional dilution rate using peristaltic pumps. The pH in the vessels was automatically measured every 10 min and values ranged between 6.00 and 6.70. Clarified ruminal fluid (centrifuged at 15,000 × g, 4°C, 15 min, and autoclaved) was added in a 1:20 dilution of artificial saliva for the first 3 d of each experimental period to better adapt protozoa to fermenters (
      • Wenner B.A.
      • de Souza J.
      • Batistel F.
      • Hackmann T.J.
      • Yu Z.
      • Firkins J.L.
      Association of aqueous hydrogen concentration with methane production in continuous cultures modulated to vary pH and solids passage rate.
      ). On d 5 of each period, fermenters were dosed with 50 mg of ammonium sulfate enriched with 10% 15N (catalog no. 348473, Sigma-Aldrich). Additionally, the same ammonium sulfate was added to the artificial saliva at 25 mg/L from d 5 until the end of the experiment for a desired enrichment of 0.2% atom excess. Samples of the outflow effluent were collected before 15N infusion to be used as background for microbial growth calculations.

      Sample Collection and Analysis

      Diet samples were collected in the last 4 d of each period, composited by period, and dried in a forced-air oven at 55°C for 72 h. On d 8 to 11 of each period, outflow effluent was collected on ice to prevent further fermentation. Four hundred milliliters of outflow effluent per fermenter was frozen at −20°C and freeze-dried (FreeZone 12, Labconco). Dried samples of diet and outflow effluent were ground with a Wiley mill (1-mm screen; Arthur H. Thomas) before analyses. Diet and outflow effluent were analyzed for DM (method 934.01;
      • AOAC International
      Official Methods of Analysis.
      ), ash (method 942.05;
      • AOAC International
      Official Methods of Analysis.
      ), and NDF (
      • Van Soest P.J.
      • Robertson J.B.
      • Lewis B.A.
      Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition.
      ) with use of heat-stable amylase (catalog no. FAA, Ankom Technology) and sodium sulfite (catalog no. S0505, Sigma-Aldrich). The NDF values were corrected for ash. Dietary nitrogen was determined by the Kjeldahl method (method 988.05;
      • AOAC International
      Official Methods of Analysis.
      ). Dietary starch was determined according to
      • Hall M.B.
      Determination of starch, including maltooligosaccharides, in animal feeds: Comparison of methods and a method recommended for AOAC collaborative study.
      , and the fatty acid content was determined using the 1-step method of
      • Sukhija P.S.
      • Palmquist D.L.
      Rapid method for determination of total fatty acid content and composition of feedstuffs and feces.
      with the adaptations proposed by
      • Lock A.L.
      • Preseault C.L.
      • Rico J.E.
      • DeLand K.E.
      • Allen M.S.
      Feeding a C16:0-enriched fat supplement increased the yield of milk fat and improved conversion of feed to milk.
      .
      Twenty milliliters of effluent was added to a bottle containing 1 mL of 6 N HCl and then frozen at −20°C. Samples were centrifugated (15,000 × g, 4°C, 15 min) and supernatant was used to quantify short-chain fatty acids (SCFA) using a gas chromatograph (Nexis GC-2030, Shimadzu Corporation) equipped with a capillary column (30 m × 0.53 mm i.d., 0.50 μm phase thickness, Restek). Crotonic acid (catalog no. 113018, Sigma-Aldrich) diluted in toluene was used as an internal standard and chromatograph conditions were as follows: helium 1.7 mL/min; oven temperature was 110°C held for 2.1 min, which was then increased by 25°C/min to 200°C; flame ionization temperature 220°C; split injection ratio 1/20; injection volume, 1 μL. Peaks were identified by the comparison of retention times with SCFA standards (catalog no. A6283, I1754, 15374, 240370, 129542 and CRM46975, Sigma-Aldrich; 149300025 and 108110010, Thermo Scientific). In the method used, isovalerate co-elutes with 2-methylbutyrate, and the 2 could not be distinguished in the present study.
      Bacterial cells from the effluent (500 mL) were isolated by centrifugation using a procedure adapted from
      • Siddons R.C.
      • Beever D.E.
      • Nolan J.V.
      A comparison of methods for the estimation of microbial nitrogen in duodenal digesta of sheep.
      and
      • Legay-Carmier F.
      • Bauchart D.
      Distribution of bacteria in the rumen contents of dairy cows given a diet supplemented with soya-bean oil.
      . Briefly, samples were kept at 4°C overnight to allow the detachment of bacteria from the feed particles and then centrifugated at 3,500 × g for 5 min at 4°C to remove eukaryotes and feed particles. Subsequently, the supernatant was centrifugated at 20,000 × g for 30 min at 4°C and resuspended once with NaCl solution (0.9%) containing Tween 80 (1 g/L; catalog no. BP338–500, Fisher Scientific) and twice with distilled water. An aliquot of the bacterial cell was reserved for N analysis and the remaining cells were freeze-dried and 500 mg were used to extract the lipids using the method described by
      • Folch J.
      • Lees M.
      • Stanley G.H.S.
      A simple method for the isolation and purification of total lipids from animal tissues.
      with adaptations. Briefly, lipids were extracted using methanol, chloroform, and a 2% NaCl solution. The proportion methanol:chloroform:NaCl was 1:2:1. Samples were dried under nitrogen and weighed to obtain total lipid amount, then reconstituted in 0.5 mL hexane:methyl tert-butyl ether:acetic acid 100:3:0.3. Lipid classes were separated by a solid-phase extraction method using a vacuum manifold kit (catalog no. RE28298-VM, Restek) and aminopropyl solid-phase extraction columns (catalog no. 60108–432, Thermo Scientific) according to the procedures of
      • Agren J.J.
      • Julkunen A.
      • Penttila I.
      Rapid separation of serum lipids for fatty acid analysis by a single aminopropyl column.
      . After separation, samples were dried under nitrogen and weighed to obtain the phospholipidic fraction. Fatty acid profile of the phospholipidic fraction were determined using the 2-step method of
      • Sukhija P.S.
      • Palmquist D.L.
      Rapid method for determination of total fatty acid content and composition of feedstuffs and feces.
      with the adaptations proposed by
      • Lock A.L.
      • Preseault C.L.
      • Rico J.E.
      • DeLand K.E.
      • Allen M.S.
      Feeding a C16:0-enriched fat supplement increased the yield of milk fat and improved conversion of feed to milk.
      . The FAME were prepared by adding 5% methanolic sulfuric acid to the samples. The FAME was filtered through anhydrous sodium sulfate, solvents were removed under nitrogen flux at 37°C, the FAME weighed, and a 1% solution with n-hexane prepared on a weight basis. cis-10 C17:1 (catalog no. H8896, Sigma-Aldrich) diluted in toluene was used as an internal standard. The FAME were determined by a gas chromatograph (Nexis GC-2010, Shimadzu). Fatty acids were separated using a CP Sil 88 column (100 m × 0.25 mm, 0.2 µm of film thickness, Agilent Technologies). Hydrogen was used as the carrier gas at a constant rate of 1 mL/min. The temperature of the gas chromatograph oven was maintained at 45°C for 4 min, increased at 13°C/min to 175°C and held for 27 min, and increased at the rate of 4°C/min to a final temperature of 215°C and held for 35 min. Peaks were identified by the comparison of retention times with fatty acid methyl ester standards (catalog no. GLC-463 and UC-59-M, Nu-Chek Prep Inc. and 47080-U, Sigma-Aldrich). The fatty acid flow was calculated based on the procedures described by
      • Glasser F.
      • Doreau M.
      • Ferlay A.
      • Chilliard Y.
      Technical note: Estimation of milk fatty acid yield from milk fat data.
      , converting the fatty acid weight to a molar basis and accounting for glycerol and phosphate contributions to phospholipids.
      Ammonia N in effluent samples was determined by colorimetric analysis (
      • Chaney A.L.
      • Marbach E.P.
      Modified reagents for determination of urea and ammonia.
      ). Bacterial cells and effluent were analyzed for total N and 15N. Dried effluent samples (50 mg) were weighed, wetted with distilled water, adjusted with 10 N NaOH to a pH > 10, and dried at 90°C for 16 h to remove ammonia N (
      • Hristov A.N.
      • Huhtanen P.
      • Rode L.M.
      • Acharya S.N.
      • McAllister T.A.
      Comparison of the ruminal metabolism of nitrogen from 15N-labeled alfalfa preserved as hay or as silage.
      ). Bacterial and effluent samples were analyzed for 15N by the stable isotope laboratory (Utah State University, Logan) according to procedures described by
      • Noftsger S.M.
      • St-Pierre N.R.
      • Karnati S.K.
      • Firkins J.L.
      Effects of 2-hydroxy-4-(methylthio) butanoic acid (HMB) on microbial growth in continuous culture.
      . The 15N background was subtracted from the 15N enrichment after 15N infusion to determine the atom percentage excess of 15N. The ammonia flow (g/d) was calculated as the concentration of ammonia N × total effluent flow. The NAN flow (g/d) was calculated as total N–ammonia flow. Bacterial N flow (g/d) was calculated as (NAN flow × 15N atom percentage excess of effluent NAN)/(15N atom percentage excess of bacteria). Bacterial nitrogen per NDF digestibility was calculated as bacterial N flow/NDF degraded. The RUP was calculated as nonammonia nonbacterial N/NAN and RDP = 100 − RUP.
      Bacteria cells were used to determine the protein expression of acetyl-CoA carboxylase (ACC, Enzyme commission [EC] number 6.4.1.2) and fatty acid synthase (FAS, EC number 2.3.1.85), which are key regulatory enzymes in the de novo fatty acid synthesis pathway. Protein was obtained by homogenizing 50 mg of bacterial cells with 0.4 g of sterile glass beads and a lysis buffer (
      • Snelling T.J.
      • Wallace R.J.
      The rumen microbial metaproteome as revealed by SDS-PAGE.
      ) using a bead beater (Bead Ruptor 4, Omni International). Extracted protein concentrations were determined using the Qubit fluorometer (Invitrogen). Protein expression was determined using the WES technology (ProteinSimple) following the manufacturer's recommendations for a 25-well plate protocol using a 66–440 kDa kit. Briefly, 0.5 mg/mL of protein was used, and target proteins were immune-probed with primary antibodies for ACC (catalog no. 3676S, Cell Signaling Technologies), FAS (catalog no. 3189S, Cell Signaling Technologies), and β-actin (catalog no. 115777, Abcam), followed by HRP-conjugated secondary antibodies provided in the WES kit. The primary antibodies were diluted using an antibody diluent (Protein Simple) at a 1:50, 1:10, and 1:25 ratio, respectively for ACC, FAS, and β-actin. Digital image was analyzed with Compass software (Protein Simple), and data were normalized to β-actin.
      Total genomic DNA was extracted from outflow samples using the bead beating plus column method (
      • Yu Z.
      • Morrison M.
      Improved extraction of PCR-quality community DNA from digesta and fecal samples.
      ), and DNA was quantified using a Qubit fluorometer. The PCR was performed using universal primers flanking the variable 4 (V4) region of the 16S rRNA (
      • Kozich J.J.
      • Westcott S.L.
      • Baxter N.T.
      • Highlander S.K.
      • Schloss P.D.
      Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform.
      ). Samples were quantified with a Qubit fluorometer, pooled on an equimolar basis, and sequenced with MiSeq v3 kit (2 × 300 cycles, Illumina) according to the manufacturer's protocol. All sequences were demultiplexed on the Illumina MiSeq system. Further, sequence processing was performed using mothur v1.45.1 (
      • Schloss P.D.
      • Westcott S.L.
      • Ryabin T.
      • Hall J.R.
      • Hartmann M.
      • Hollister E.B.
      • Lesniewski R.A.
      • Oakley B.B.
      • Parks D.H.
      • Robinson C.J.
      • Sahl J.W.
      • Stres B.
      • Thallinger G.G.
      • Van Horn D.J.
      • Weber C.F.
      Introducing mothur: Open-source, platform-independent, community-supported software for describing and comparing microbial communities.
      ) following the protocol described by
      • Kozich J.J.
      • Westcott S.L.
      • Baxter N.T.
      • Highlander S.K.
      • Schloss P.D.
      Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform.
      . Briefly, paired-end sequences were combined into contigs, and poor-quality sequences were removed. Bacterial sequences were aligned and classified using the SILVA 16S rRNA database (
      • Pruesse E.
      • Quast C.
      • Knittel K.
      • Fuchs B.M.
      • Ludwig W.
      • Peplies J.
      • Glockner F.O.
      SILVA: A comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB.
      ). All sequences were grouped into 97% operational taxonomic units (OTU) by uncorrected pairwise distances and furthest neighbor clustering. Bacterial communities were normalized to equal sequence counts near the lowest sample, and these normalized OTU tables were used in all further analyses.

      Statistical Analysis

      Parts of the microbiota statistical analyses were carried out in R (vegan package). Total microbial community structure (Bray-Curtis) and composition (Jaccard) were calculated from normalized OTU data and visualized by nonmetric multidimensional scaling (NMDS) plots. The PERMANOVA was run to determine the differences in community structure and composition between treatments by using the adonis function in vegan, with the Benjamini–Hochberg correction for multiple comparisons.
      Data for digestibility, rumen nitrogen, fatty acids, α diversity, and relative abundance were analyzed using the MIXED procedure of SAS v.9.4 (SAS Institute Inc., Cary, NC) according to the following model:
      Yijk = μ + pi + fj + Tk + eijk,


      where Yijk = variable of interest, μ = overall mean, pi = random effect of period (i = 1 to 4), fj = random effect of fermenter (j = 1 to 8), Tk = fixed effect of treatment (k = control, palmitic, stearic, and oleic), and eijk = residual error. The normality of the residuals was checked with normal probability and box plots and homogeneity of variances with plots of residuals versus predicted values. A protected least significant difference was used for mean separation. Significance was declared at P ≤ 0.05 and tendency at P ≤ 0.10.

      RESULTS

      In Vitro NDF Digestibility, SCFA, and Nitrogen Flow

      Digestibility of NDF, total SCFA flow, and valerate yield increased with PA and decreased with OA compared with CON and SA (P < 0.01; Figures 1A, 1B, and 1F). Compared with CON and PA, SA and OA decreased propionate flow (P = 0.03; Figure 1D). Isobutyrate flow decreased with SA and OA compared with CON and PA (P < 0.01; Figure 1G). The flow of acetate, butyrate, and isovalerate were not affected by treatments (Figures 1C, 1E, and 1H).
      Figure thumbnail gr1
      Figure 1Effect of palmitic (PA), stearic (SA), and oleic acid (OA) on NDF digestibility and short-chain fatty acid (SCFA) flow in continuous culture fermenters. The control (CON) was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments were added to the basal diet at a concentration of 1.5% (DM basis). For treatment effect, means without a common letter differ (P < 0.05). Isovalerate co-elutes with 2-methylbutyrate, and the 2 could not be distinguished in the present study. Error bars are the SEM.
      The concentration of ammonia nitrogen in the effluent was not affected by treatments (Table 2). Bacterial nitrogen in the outflow effluent tended to be greater with PA relative to other treatments (P = 0.09), while flow of bacterial nitrogen per unit of NDF digestibility was not affected by the treatments. Total nitrogen flow, and nonammonia nitrogen and nonammonia nonbacterial nitrogen in the effluent nitrogen flow were not different between treatments. Palmitic acid increased RDP and decreased RUP compared with other treatments (P = 0.05).
      Table 2Effect of palmitic, stearic, and oleic acid on ammonia N (mg/dL), N flow (g/d, unless otherwise stated), and RDP and RUP (%) in continuous culture fermenters
      ItemTreatment
      The control was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments (palmitic, stearic, and oleic acid) were added to the basal diet at a concentration of 1.5% (DM basis).
      SEMP-value
      P-values refer to the ANOVA results for the main effect of fatty acid treatment.
      ControlPalmiticStearicOleic
      Ammonia N16.816.316.815.11.310.74
      Effluent N flow
       Total N1.741.781.691.740.070.59
       Bacterial N0.771
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      0.851
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      0.758
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      0.785
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      0.050.09
       Bacterial N per NDFD,
      NDFD = neutral detergent fiber digestibility.
      g/kg
      82.780.881.291.45.190.24
       Nonammonia N1.381.421.361.410.060.62
       Nonammonia nonbacterial N0.6160.5720.5940.6220.070.72
      RDP55.8
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      60.1
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      56.8
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      55.8
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      2.450.05
      RUP44.2
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      39.9
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      43.2
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      44.2
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      2.240.05
      a,b For treatment effect, means without a common letter within the same row differ (P < 0.05).
      1 The control was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments (palmitic, stearic, and oleic acid) were added to the basal diet at a concentration of 1.5% (DM basis).
      2 P-values refer to the ANOVA results for the main effect of fatty acid treatment.
      3 NDFD = neutral detergent fiber digestibility.

      Bacterial ACC and FAS Protein Expression, Bacterial Phospholipid Fatty Acid

      Bacterial protein expression of ACC was reduced by OA compared with CON and PA (P < 0.01; Figure 2A). Protein expression of FAS was reduced by all fatty acid treatments compared with CON (P < 0.01; Figure 2B). More specifically, PA reduced FAS expression compared with SA, and OA reduced FAS expression compared with PA and SA.
      Figure thumbnail gr2
      Figure 2Effect of palmitic (PA), stearic (SA), and oleic acid (OA) on protein expression (arbitrary units) of bacterial acetyl-CoA carboxylase (ACC; A) and fatty acid synthase (FAS; B). The control (CON) was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments were added to the basal diet at a concentration of 1.5% (DM basis). For treatment effect, means without a common letter differ (P < 0.05). Error bars are the SEM.
      The bacterial phospholipid fatty acid flow is presented in Table 3. The fatty acid treatments did not alter total bacterial phospholipid content compared with CON (Table 3). Regarding individual fatty acids, PA increased anteiso-C13:0 (P = 0.01), anteiso-C15:0 (P = 0.05) and tended to increase C17:0 (P = 0.07) compared with the other treatments. Oleic acid increased C18:1 cis- 9 content compared with CON and SA (P = 0.02). In contrast, OA decreased C18:2 cis-9,cis-12 compared with the other treatments (P = 0.05) and tended to decrease C18:3 cis-9,cis-12,cis-15 compared with CON and PA (P = 0.09).
      Table 3Effect of palmitic, stearic, and oleic acid on bacterial membrane fatty acid profile in continuous culture fermenters
      ItemTreatment
      The control was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments (palmitic, stearic, and oleic acid) were added to the basal diet at a concentration of 1.5% (DM basis).
      SEMP-value
      P-values refer to the ANOVA results for the main effect of fatty acid treatment.
      ControlPalmiticStearicOleic
      Total phospholipidic fraction, % of DM3.634.093.643.510.580.48
      Fatty acid, mg/d
       C9:00.540.560.520.580.070.95
       C10:01.901.962.032.360.890.95
       C11:02.132.611.792.270.410.33
       C12:074.379.068.775.512.230.87
      iso C13:014.715.212.514.43.760.77
      anteiso C13:02.34
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      3.56
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      2.41
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      2.39
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      0.720.01
       C13:020.722.218.819.63.130.58
      iso C14:029.335.127.428.74.640.37
      iso C15:06064.760.459.39.910.94
      anteiso C15:0247
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      299
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      244
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      221
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      42.70.05
       C14:022121218119441.90.59
       C15:022825323022032.90.68
      iso C16:023.927.825.622.13.820.27
       C16:01,0401,1511,011992185.10.53
      iso C17:013.314.414.712.42.060.64
       C16:1 cis-930.835.928.631.57.880.62
       C17:084.8
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      104.0
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      88.4
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      78.9
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      12.00.07
       C18:012310813710820.60.57
       C18:1 trans-927.234.630.129.17.100.44
       C18:1 trans-1112.012.413.813.23.800.92
       C18:1 cis-78.748.027.658.061.600.96
       C18:1 cis-9201
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      256
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      232
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      298
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      31.10.02
       C18:1 cis-1123522617520262.70.46
       C18:2 cis-9,cis-12146
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      161
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      138
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      97
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      36.00.05
       C18:3 cis-9,cis-12,cis-1511.0
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      12.7
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      10.5
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      8.28
      For treatment effect, means without a common letter within the same row differ (P < 0.05).
      2.720.09
       C19:03.554.223.983.570.480.34
       C20:02.041.852.581.640.460.36
       C22:01.761.482.401.440.470.24
       C24:01.681.392.121.340.400.37
      a,b For treatment effect, means without a common letter within the same row differ (P < 0.05).
      1 The control was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments (palmitic, stearic, and oleic acid) were added to the basal diet at a concentration of 1.5% (DM basis).
      2 P-values refer to the ANOVA results for the main effect of fatty acid treatment.

      16S rRNA Data Acquisition and Analysis

      The sequencing of the bacterial 16S rRNA of the effluent samples generated an average of 46,996 high quality sequences per sample (Supplemental Table S1; https://data.mendeley.com/datasets/xhfg7zktjp/1;
      • de Souza J.
      Sears et al 2023. Mendeley Data, V1.
      ). Sequence coverage met a Good's coverage greater than 99.5% for all samples, implying that sampling provided sufficient OTU coverage to accurately describe the bacterial composition in each treatment.

      Richness, Diversity, and Composition of the Bacterial Communities

      The richness indices Chao and Ace were not affected by treatments (Figures 3A and 3B). Diversity of the microbial community increased with PA supplementation relative to the CON, SA, and OA treatments based on the Shannon index (P = 0.05; Figure 3C). Similarly, we observed that PA tended to increase the inverse Simpson index (P = 0.08; Figure 3D) compared with CON and SA. For β-diversity analysis, we did not observe a treatment effect on Bray-Curtis and Jaccard distances in the PERMANOVA analysis (Supplemental Table S2; https://data.mendeley.com/datasets/xhfg7zktjp/1;
      • de Souza J.
      Sears et al 2023. Mendeley Data, V1.
      ). The principal coordinate analysis and NMDS plots based on the Bray-Curtis similarity showed overlapping of points (Supplemental Figures S1 and S2; https://data.mendeley.com/datasets/xhfg7zktjp/1;
      • de Souza J.
      Sears et al 2023. Mendeley Data, V1.
      ), indicating that the β-diversity composition of the bacterial community was not significantly affected by treatments.
      Figure thumbnail gr3
      Figure 3Effect of palmitic (PA), stearic (SA), and oleic acid (OA) on bacterial α diversity index for richness (Chao and Ace; A and B) and diversity (Shannon and inverse Simpson; C and D) in response to supplemental palmitic (PA), stearic (SA), and oleic (OA) acid in continuous culture fermenters. The control (CON) was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments were added to the basal diet at a concentration of 1.5% (DM basis). For treatment effect, means without a common letter differ (P < 0.05). Error bars are the SEM.
      At the phylum level, 6 bacterial phyla were identified in the effluent samples (Figure 4). Regardless of dietary treatment, the bacterial community composition was dominated by the phyla Firmicutes (48.2%) and Bacteroidetes (34.8%). Bacteroidetes were increased by PA compared with the other treatments (P = 0.04). Palmitic acid increased Fibrobacteres when compared with OA (P = 0.01). The abundance of the phyla Actinobacteriota, Desulfobacterota, Firmicutes, Spirochaetota, and Verrucomicrobiota were not affected by treatments.
      Figure thumbnail gr4
      Figure 4Effect of palmitic (PA), stearic (SA), and oleic acid (OA) on relative abundance of bacterial phylum in continuous culture fermenters. The control (CON) was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments were added to the basal diet at a concentration of 1.5% (DM basis). For treatment effect, means without a common letter differ (P < 0.05). Error bars are the SEM.
      Twenty-seven bacterial families represented 95% of the abundance at family level (Table 4). Prevotellaceae and Lachnospiraceae had the largest relative abundance across all treatments accounting for 25.2% and 20.9% of total sequences, respectively. The PA increased the relative abundance of Prevotellaceae compared with the other treatments (P = 0.03). Oleic acid decreased the relative abundance of Fibrobacteraceae in comparison with PA (P = 0.01). Dietary PA tended to decrease the relative abundance of Bacillaceae (P = 0.10) compared with CON. The FA treatments had no effect on the relative abundance of the other families identified from the 16S gene sequencing.
      Table 4Effect of palmitic, stearic, and oleic acid supplementation on the relative abundance of ruminal bacterial families in effluent digesta
      FamilyTreatment
      The control was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments (palmitic, stearic, and oleic acid) were added to the basal diet at a concentration of 1.5% (DM basis).
      SEMP-value
      P-values refer to the ANOVA results for the main effect of fatty acid treatment.
      ControlPalmiticStearicOleic
      Acholeplasmataceae0.430.330.430.340.140.75
      Acidaminococcaceae1.391.311.821.390.350.12
      Anaerovoracaceae1.752.102.062.400.340.29
      Atopobiaceae2.532.743.152.700.590.59
      Bacillaceae0.09
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      0.04
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      0.06
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      0.07
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      0.020.10
      Bifidobacteriaceae1.150.980.871.020.140.77
      Bacteroidaceae1.821.31.511.440.220.24
      Christensenellaceae1.311.591.121.310.30.44
      Clostridiaceae1.881.761.281.450.50.20
      Desulfovibrionaceae0.330.270.270.370.050.11
      Erysipelotrichaceae2.732.453.123.730.810.19
      F0821.811.651.411.540.40.79
      Fibrobacteraceae0.72
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      1.08
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      0.73
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      0.28
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      0.250.01
      Hungateiclostridiaceae0.610.580.650.630.130.94
      Lachnospiraceae20.819.421.422.11.930.31
      Lactobacillaceae3.442.653.553.100.520.55
      Muribaculaceae1.641.631.902.410.290.13
      Oscillospiraceae1.752.171.431.590.40.31
      Planococcaceae0.911.181.440.890.430.70
      Prevotellaceae24.6
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      28.0
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      24.0
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      24.6
      For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      1.610.03
      Rikenellaceae3.713.352.793.060.660.54
      Ruminococcaceae4.944.955.075.230.390.75
      Selenomonadaceae1.501.131.461.590.280.21
      Spirochaetaceae4.063.313.883.180.940.70
      Veillonellaceae4.103.915.194.681.010.49
      WCHB1–41_fa0.820.840.590.820.220.28
      a,b For treatment effect, means without a common letter within the same row differ (P < 0.05). Separation was only conducted if treatment effect was P < 0.10.
      1 The control was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments (palmitic, stearic, and oleic acid) were added to the basal diet at a concentration of 1.5% (DM basis).
      2 P-values refer to the ANOVA results for the main effect of fatty acid treatment.
      At the genus level, Prevotella, Butyrivibrio, and Ruminococcus were the most abundant genera, representing 19.1%, 5.0%, and 4.3% of the total sequences, respectively. Dietary PA supplementation increased the relative abundance of Prevotella compared with other treatments (P < 0.01; Figure 5A). The relative abundance of the Fibrobacter genus was higher in the PA compared with OA (P = 0.01; Figure 5B), but not different from CON and SA, which were intermediate. Oleic acid increased the relative abundance of Megasphaera, Anaerovibrio, Lachnobacterium, and Pseudobutyrivibrio (P ≤ 0.05; Figures 5C, 5D, 5E, and 5F). Oleic acid tended to increase relative abundance of Desulfovibrio compared with PA and SA (P = 0.08; Figure 5G). Stearic acid increased the relative abundance of Acidaminococcus compared with OA (P = 0.02; Figure 5H). The relative abundance of the other bacterial genera was not affected by the dietary treatments.
      Figure thumbnail gr5
      Figure 5Effect of palmitic (PA), stearic (SA), and oleic acid (OA) on relative abundance of bacterial genera in continuous culture fermenters. The control (CON) was a basal diet composed of 50% orchardgrass hay and 50% concentrate (DM basis) without supplemental fatty acids. Fatty acid treatments were added to the basal diet at a concentration of 1.5% (DM basis). For treatment effect, means without a common letter differ (P < 0.05). Error bars are the SEM.

      DISCUSSION

      Enhancing fiber digestibility by ruminant animals is the research focus of several disciplines because it augments the efficiency of food production and sustainability of the production systems. The recent interest in dietary fatty acid profile to dairy cows enlightened the possible advantageous effect of specific fatty acids (e.g., palmitic, stearic, and oleic acid) on total-tract fiber digestibility (
      • Piantoni P.
      • Lock A.L.
      • Allen M.S.
      Milk production responses to dietary stearic acid vary by production level in dairy cattle.
      ;
      • de Souza J.
      • Lock A.L.
      Long-term palmitic acid supplementation interacts with parity in lactating dairy cows: Production responses, nutrient digestibility, and energy partitioning.
      ;
      • Sears A.
      • Gonzalez O.
      • Alberto A.
      • Young A.
      • de Souza J.
      • Relling A.
      • Batistel F.
      Effect of feeding a palmitic acid-enriched supplement on production responses and nitrogen metabolism of mid-lactating Holstein and Jersey cows.
      ;
      • de Souza J.
      • Prom C.M.
      • Lock A.L.
      Altering the ratio of dietary palmitic and oleic acids affects production responses during the immediate postpartum and carryover periods in dairy cows.
      ). Because fiber is primarily digested in the rumen, here we used continuous culture fermenters, which mimic rumen fermentation, to explore the hypothesis that dietary supply of palmitic, stearic, and oleic acid enhances fiber digestion. We postulate that these fatty acids are incorporated into bacterial cell membranes and consequently support bacterial growth and enrichment of fiber-digesting bacteria.
      Our results show that PA increased fiber digestibility by 6 percentage units compared with the control, while SA did not affect and OA decreased fiber digestibility by 8 percentage units. A previous meta-analysis reported an increase of 4.5 percentage units in total-tract fiber digestibility of dairy cows when the inclusion of a palmitic acid–enriched supplement (>80% palmitic acid) ranged from 0.75% to 3.0% of diet DM (mean of 1.81%;
      • dos Santos Neto J.M.
      • de Souza J.
      • Lock A.L.
      Nutrient digestibility and production responses of lactating dairy cows when saturated free fatty acid supplements are included in diets: A meta-analysis.
      ). However, the positive effect of PA on fiber digestibility is not entirely consistent in the literature. For example,
      • Rico D.E.
      • Ying Y.
      • Harvatine K.J.
      Comparison of enriched palmitic acid and calcium salts of palm fatty acids distillate fat supplements on milk production and metabolic profiles of high-producing dairy cows.
      did not observe any effect on fiber digestibility when 2% of a palmitic acid–enriched supplement (85% palmitic acid) was added to the diet of dairy cows. The inconsistencies may be attributed to the total fatty acid concentration in the diet as well as source and level of fiber in the diet. Compared with PA, fewer studies investigated the inclusion of stearic and oleic acid–enriched supplements into the diet of dairy cows. The lack of response to SA in our study is consistent with the observations of
      • Boerman J.P.
      • de Souza J.
      • Lock A.L.
      Milk production and nutrient digestibility responses to increasing levels of stearic acid supplementation of dairy cows.
      , which observed no effect on total-tract fiber digestibility when cows were supplemented with a stearic acid–enriched supplement (93% SA) at 0%, 0.80%, 1.50%, or 2.30% of diet DM. In contrast,
      • Piantoni P.
      • Lock A.L.
      • Allen M.S.
      Milk production responses to dietary stearic acid vary by production level in dairy cattle.
      reported that the inclusion of 2% diet DM of a stearic acid–enriched supplement (98% SA) tended to increase total-tract fiber digestibility compared with a diet without supplemental fatty acids.
      • de Souza J.
      • Prom C.M.
      • Lock A.L.
      Altering the ratio of dietary palmitic and oleic acids affects production responses during the immediate postpartum and carryover periods in dairy cows.
      observed that fat blends (fed at 1.5% diet DM) containing increasing levels of OA (10%–30%) replacing PA (60%–80%) increased total-tract fiber digestibility compared with a nonfat-supplement diet. To note,
      • Boerman J.P.
      • de Souza J.
      • Lock A.L.
      Milk production and nutrient digestibility responses to increasing levels of stearic acid supplementation of dairy cows.
      and
      • de Souza J.
      • Prom C.M.
      • Lock A.L.
      Altering the ratio of dietary palmitic and oleic acids affects production responses during the immediate postpartum and carryover periods in dairy cows.
      reported a linear increase in cows' feed intake in response to the increasing levels of SA and OA, respectively; the higher feed intake may have affected the digestibility by increasing the passage rate (
      • NASEM
      Nutrient Requirements of Dairy Cattle.
      ). In general, we have chosen a 10% passage rate in our in vitro system to simulate intakes and passage of high-producing cows. The passage rate of up to 10%/h is higher than most in vivo studies, but the high NDF degradation may suggest that some particulates are settling and passing slower in the system. Our findings indicate that when palmitic, stearic, or oleic were supplied at 1.5% diet DM, only PA positively affected fiber digestion in the vessels.
      It is presumed that the de novo fatty acid synthesis pathway is conserved between eukaryotes and bacteria (
      • Cronan J.E.
      • Thomas J.
      Bacterial fatty acid synthesis and its relationships with polyketide synthetic pathways.
      ). Two key enzymes are involved in the de novo lipogenesis, ACC and FAS. The multisubunit ACC catalyzes the first step in the fatty acid synthesis, and its reaction can be divided into 2 partial reactions (
      • Cronan Jr., J.E.
      • Waldrop G.L.
      Multi-subunit acetyl-CoA carboxylases.
      ). In the first step, biotin is carboxylated via ATP consumption and in the second step, the carboxyl group is transferred to acetyl-CoA, yielding malonyl-CoA. Subsequently, FAS converts malonyl-CoA to long-chain fatty acids by a repeated cycle of reactions involving condensation, reduction, dehydration, and subsequent reduction of carbon-carbon bonds (
      • Schweizer E.
      • Hofmann J.
      Microbial type I fatty acid synthases (FAS): Major players in a network of cellular FAS systems.
      ). The lower protein expression of ACC following OA supply and of FAS with PA, SA, and OA in our study suggests downregulation of the de novo pathway. In ruminal bacteria, there is a lack of research on the regulation of the fatty acid synthesis pathway by specific fatty acids. In our study, OA decreased the initiation of fatty acid synthesis, whereas the supply of all exogenous fatty acids decreased fatty acid elongation. The ACC regulation is complex in bacteria, and endogenous synthesis varies by bacterial taxa and how exogenous fatty acids regulate endogenous synthesis (
      • Yao J.
      • Rock C.O.
      Exogenous fatty acid metabolism in bacteria.
      ). Exogenous fatty acids strongly suppress ACC activity and malonyl-CoA levels in Staphylococcus pneumoniae but not in Staphylococcus aureus, showing a regulatory feedback system taxa-specific (
      • Parsons J.B.
      • Frank M.W.
      • Subramanian C.
      • Saenkham P.
      • Rock C.O.
      Metabolic basis for the differential susceptibility of gram-positive pathogens to fatty acid synthesis inhibitors.
      ). In a previous study, OA reduced ACC activity in Lactobacillus plantarum compared with PA, SA, and a control growth medium, suggesting a fatty acid-specific effect on the activity of this enzyme (
      • Birnbaum J.
      Repression of acetyl-coenzyme A carboxylase by unsaturated fatty acids: Relationship to coenzyme repression.
      ). Bacteria have evolved several mechanisms to control the formation of new fatty acids and modify the structure of existing fatty acids to minimize energy expenditure and optimize growth (
      • Zhang Y.M.
      • Rock C.O.
      Membrane lipid homeostasis in bacteria.
      ). Controlling the elongation (chain length) of synthesized fatty acids is a point of control of membrane fluidity because increasing long-chain fatty acids decreases membrane fluidity (
      • Russell N.J.
      The regulation of membrane fluidity in bacteria by acyl chain length changes.
      ). Therefore, we postulate that if bacteria incorporate exogenous fatty acids, a decrease in fatty acid elongation may occur. The reason why PA, SA and OA were able to inhibit the expression of the bacterial FAS enzyme while ACC was inhibited only by OA is not completely clear and should be the object of future investigations. Because fatty acids in bacterial cell membranes can originate from the de novo fatty acid synthesis pathway or incorporation of exogenous fatty acids present in the environment (
      • Erwin J.
      Comparative biochemistry of fatty acids in eukaryotic microorganisms.
      ), our data suggest that the supply of dietary fatty acids may lead to greater incorporation of exogenous fatty acids into the bacterial cell membranes to maintain membrane homeostasis. Our results also showed that OA decreased both ACC and FAS expression to a greater extent than PA and SA, suggesting a fatty acid-specific effect on the protein expression of these enzymes.
      Although the supply of exogenous fatty acids did not affect the total lipid content and the phospholipid fraction in the bacterial pellet, some differences in the phospholipid fatty acid composition were observed. Previously,
      • Jenkins T.C.
      Lipid metabolism in the rumen.
      reported that the total lipid content in the rumen bacterial mass ranges from 10% to 15% of bacterial DM and our observations for all the treatments concur with that range. Bacterial membranes primarily consist of phospholipids that contain a hydrophilic phosphate head group and a hydrophobic tail consisting of 2 fatty acids (
      • Gullett J.M.
      • Rock C.O.
      Fatty acid and phospholipid biosynthesis in prokaryotes.
      ). The phospholipidic fraction observed in our study is lower (average of 28% vs. 39% of total bacterial lipid fraction) than previously observed (
      • Garton G.A.
      • Oxford A.E.
      The nature of bacterial lipids in the rumen of hay-fed sheep.
      ) and we believe these differences are due to the method used for phospholipid extraction. The high consistency in the phospholipid fatty acid profile across treatments was expected because major modifications in the membrane fatty acid profile occurs in response to key environmental stressors such as acidic conditions (
      • Zhang Y.M.
      • Rock C.O.
      Membrane lipid homeostasis in bacteria.
      ), and no pH differences across treatments were observed in our study (data not shown). Regulating membrane fatty acid composition is essential to maintain membrane fluidity and integrity for normal and efficient microbial functions (
      • Gullett J.M.
      • Rock C.O.
      Fatty acid and phospholipid biosynthesis in prokaryotes.
      ). We observed a higher flow of odd and anteiso fatty acids in the PA treatment. Linear odd-chain fatty acids are formed when propionyl-CoA, instead of acetyl-CoA, is used as primer, while iso and anteiso fatty acids are originated from branch-chain SCFA (
      • Kaneda T.
      Iso- and anteiso-fatty acids in bacteria: Biosynthesis, function, and taxonomic significance.
      ). However, in our study, PA did not influence the flow of propionate and branch-chain SCFA compared with control. Specific groups of bacteria have characteristic composition of odd- and branched-chain fatty acids in their phospholipid fraction. Therefore, variations in the profile of these fatty acids in mixed rumen bacteria mainly reflect changes in the abundance of specific bacterial populations in the rumen (
      • Vlaeminck B.
      • Fievez V.
      • Cabrita A.R.J.
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      Factors affecting odd- and branched-chain fatty acids in milk: A review.
      ). Cellulolytic bacteria contain high amounts of iso-fatty acids while higher proportions of anteiso and linear odd-chain fatty acids indicate the presence of bacteria specialized in the fermentation of pectin and sugars (
      • Vlaeminck B.
      • Fievez V.
      • Cabrita A.R.J.
      • Fonseca A.J.M.
      • Dewhurst R.J.
      Factors affecting odd- and branched-chain fatty acids in milk: A review.
      ,
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      • Jerónimo E.
      • Belo A.T.
      • Cabrita A.R.J.
      • Dewhurst R.J.
      • Fonseca A.J.M.
      Using microbial fatty acids to improve understanding of the contribution of solid associated bacteria to microbial mass in the rumen.
      ). The PA increased the proportion of anteiso-C13:0 and anteiso-C15:0 in the bacterial phospholipid fraction, consistent with the increased relative abundance of the Prevotella genus in this treatment. Palmitic acid also increased the proportion of C17:0 in bacterial phospholipid fraction, which is positively correlated with Fibrobacter (
      • Zhang Y.
      • Liu K.
      • Hao X.
      • Xin H.
      The relationships between odd- and branched-chain fatty acids to ruminal fermentation parameters and bacterial populations with different dietary ratios of forage and concentrate.
      ). Therefore, in our study, the changes in bacterial fatty acid flow are more likely associated with changes in the microbial community than SCFA availability. Our observations regarding bacterial lipid content, membrane phospholipid fraction, and fatty acid profile reinforce the idea that bacterial cells tightly regulate the lipids present in the cell membranes.
      We observed that PA, but not SA or OA, enriched bacterial groups responsible for fiber digestion in the microbial community. The relative abundance of the Fibrobacter genus was increased by 1.5- and 3.8-fold with PA supply compared with the control and OA, respectively, and the Prevotella increased by 1.2-fold relative to the control and OA. These results strengthen the concept that modulation of fiber digestion is fatty acid-specific and mediated, at least partly, by modifications in the structure of the bacterial community involved with fiber breakdown in the rumen. Fibrobacteraceae and Prevotellaceae represented 1.1% and 28%, respectively, of all bacterial sequences identified in the 16S rRNA gene sequencing with PA supply, which is greater than previously reported in studies that used a forage:concentrate ratio similar to what was used in this study (
      • Xue M.
      • Sun H.
      • Wu X.
      • Guan L.L.
      • Liu J.
      Assessment of rumen microbiota from a large dairy cattle cohort reveals the pan and core bacteriomes contributing to varied phenotypes.
      ). Fibrobacter succinogenes is a major cellulose degrader (
      • Krause D.O.
      • Denman S.E.
      • Mackie R.I.
      • Morrison M.
      • Rae A.L.
      • Attwood G.T.
      • McSweeney C.S.
      Opportunities to improve fiber degradation in the rumen: Microbiology, ecology, and genomics.
      ), and Prevotella spp. is the most abundant bacteria genus in the rumen (
      • Wallace R.J.
      • Sasson G.
      • Garnsworthy P.C.
      • Tapio I.
      • Gregson E.
      • Bani P.
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      • Craigon J.
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      • Vilkki J.
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      • Mrazek J.
      • Sechovcova H.
      • Kopecny J.
      • Bonin A.
      • Boyer F.
      • Taberlet P.
      • Kokou F.
      • Halperin E.
      • Williams J.L.
      • Shingfield K.J.
      • Mizrahi I.
      A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions.
      ) and substantially contributes to hemicellulose utilization (
      • Emerson E.L.
      • Weimer P.J.
      Fermentation of model hemicelluloses by Prevotella strains and Butyrivibrio fibrisolvens in pure culture and in ruminal enrichment cultures.
      ). The high relative abundance of Prevotella might be responsible for the greater total production of SCFA, driven by acetate and butyrate levels, in response to the PA supply in our study. Previous studies observed that both acetate and butyrate are positively correlated with the relative abundance of Prevotella (
      • Watabe Y.
      • Suzuki Y.
      • Koike S.
      • Shimamoto S.
      • Kobayashi Y.
      Cellulose acetate, a new candidate feed supplement for ruminant animals: In vitro evaluations.
      ;
      • Xue M.
      • Sun H.
      • Wu X.
      • Guan L.L.
      • Liu J.
      Assessment of rumen microbiota from a large dairy cattle cohort reveals the pan and core bacteriomes contributing to varied phenotypes.
      ). Furthermore, the genus Prevotella is known for producing key enzymes in the acetate (
      • Deusch S.
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      • Conrad J.
      • Beifuss U.
      • Rodehutscord M.
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      A structural and functional elucidation of the rumen microbiome influenced by various diets and microenvironments.
      ) and butyrate synthesis pathways (
      • Wang L.
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      Effects of high forage/concentrate diet on volatile fatty acid production and the microorganisms involved in VFA production in cow rumen.
      ).
      Supplementing OA showed a negative effect on fiber digestibility and microbial community structure by reducing the abundance of the Fibrobacteres at the phylum, family, and genus level. Oleic acid is reported to be more inhibitory than palmitic and stearic acids on the growth of most fibrolytic bacteria possibly due to its unsaturated nature (
      • Enjalbert F.
      • Combes S.
      • Zened A.
      • Meynadier A.
      Rumen microbiota and dietary fat: A mutual shaping.
      ). Unsaturated fatty acids are recognized to possess antimicrobial activity by increasing membrane permeability and cell lysis, disrupting the electron transport chain and uncoupling oxidative phosphorylation, and inhibiting membrane enzymatic activities and nutrient uptake (
      • Yoon B.K.
      • Jackman J.A.
      • Valle-Gonzalez E.R.
      • Cho N.J.
      Antibacterial free fatty acids and monoglycerides: Biological activities, experimental testing, and therapeutic applications.
      ). However, the absence of a detrimental effect of OA on other fibrolytic bacteria with exception of Fibrobacteres in our study is not clear. In several experiments, species belonging to the Fibrobacter, Ruminococcus, and Butyrivibrio genera were negatively affected by dietary fat addition in most cases. However, most of these studies involved supplementation of oils that have in their composition different concentrations of fatty acids, making it difficult to illustrate the effects of individual fatty acids on the rumen microbial community (
      • Zened A.
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      • Cauquil L.
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      ;
      • Li X.Z.
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      ). Also, some of these studies included fat in the diet at much higher levels than those used in the present study. In our study, all fatty acid treatments were supplemented at the same feeding level, while in most feeding conditions their proportion is not the same. Supplementing OA to dairy cows has been shown to improve fatty acid digestibility and performance (
      • de Souza J.
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      • Lock A.L.
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      ;
      • Prom C.M.
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      • Lock A.L.
      Abomasal infusion of oleic acid increases fatty acid digestibility and plasma insulin of lactating dairy cows.
      ), but the dose provided was smaller than used in our study. Further elucidation of the effects of OA on the microbial community composition would benefit from a dose-response study.
      Our results indicate that PA tended to increase bacterial growth compared with other treatments, while SA and OA did not affect bacterial growth compared with control. Incorporation of preformed fatty acids spares a considerable amount of energy in bacterial fatty acid metabolism; thus, we hypothesized that the spared energy could be used by bacteria to favor its growth. In this study, mixed rumen bacteria were used for the fatty acid profile analysis of the bacterial phospholipid fraction; therefore, identification of specific microorganisms that incorporated dietary palmitic, stearic, and oleic acid into their cellular membrane is not possible. However, because there is a flux of both liquids and solids through the rumen (
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      ), microbes must actively multiply to counteract washout to be able to maintain their populations (
      • Henderson G.
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      • Nygaard Kristensen T.
      • Julie Krizsan S.
      • LaChance H.
      • Lachman M.
      • Lamberson W.R.
      • Lambie S.
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      • Lee S.-S.
      • Leiber F.
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      • Lin B.
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      • Lund P.
      • Macipe E.
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      • Minnee E.
      • Mitsumori M.
      • Mizrahi I.
      • Molina I.
      • Muenger A.
      • Muñoz C.
      • Murovec B.
      • Newbold J.
      • Nsereko V.
      • O’Donovan M.
      • Okunade S.
      • O’Neill B.
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      • Ouwerkerk D.
      • Parra D.
      • Pereira L.G.R.
      • Pinares-Patiño C.
      • Pope P.B.
      • Poulsen M.
      • Rodehutscord M.
      • Rodriguez T.
      • Saito K.
      • Sales F.
      • Sauer C.
      • Shingfield K.
      • Shoji N.
      • Simunek J.
      • Stojanović-Radić Z.
      • Stres B.
      • Sun X.
      • Swartz J.
      • Liang Tan Z.
      • Tapio I.
      • Taxis T.M.
      • Tomkins N.
      • Ungerfeld E.
      • Valizadeh R.
      • van Adrichem P.
      • Van Hamme J.
      • Van Hoven W.
      • Waghorn G.
      • John Wallace R.
      • Wang M.
      • Waters S.M.
      • Keogh K.
      • Witzig M.
      • Wright A.-D.G.
      • Yamano H.
      • Yan T.
      • Yáñez-Ruiz D.R.
      • Yeoman C.J.
      • Zambrano R.
      • Zeitz J.
      • Zhou M.
      • Wei Zhou H.
      • Xia Zou C.
      • Zunino P.
      • Janssen P.H.
      Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range.
      ). Therefore, bacteria that increased their relative abundance in the bacterial community with the fatty acid treatments are likely those which used the spared energy from exogenous fatty acid incorporation for growth. Fibrobacteraceae and Prevotellaceae had their relative abundance increased with PA, and Megasphaera, Pseudobutyrivibrio, Lachnobacterium, and Anaerovibrio with OA, indicating that palmitic and OA slightly changed the structure of the bacterial community through alterations in evenness of these species. However, bacterial nitrogen pool in the effluent, measured as bacterial nitrogen flow, and RDP increased only with PA supply highlighting the differential role of individual fatty acids on bacteria in the rumen. Although OA enriched the abovementioned genera in the bacterial community, these alterations occurred with a concurrent reduction in prevalence of other bacteria, not translating into an increased bacterial nitrogen pool.

      CONCLUSIONS

      To our knowledge, this is the first research providing evidence that specific dietary fatty acids support fiber digestion in the rumen by shifting the prevalence of fiber digesters in the bacterial community. For conditions where a readily available supply of preformed palmitic acid exists, particularly bacteria involved in fiber breakdown may incorporate these as substrates into their cell membrane lipids. The enrichment of the genera Prevotella and Fibrobacter in response to palmitic acid supply suggests that this fatty acid enabled these microorganisms to effectively compete and outgrow other genera in the continuous culture system. Further elucidation of the role of palmitic, as well as other fatty acids, on rumen bacterial membrane fatty acid metabolism and growth would benefit from studies using pure culture bacteria and carbon-labeled fatty acids.

      ACKNOWLEDGMENTS

      We acknowledge Perdue Agribusiness (Salisbury, MD) for the financial support of this study. We gratefully acknowledge the editor and 2 reviewers for their input and constructive feedback, which improved the quality and clarity of this manuscript. Jonas de Souza is employed by Perdue Agribusiness, which commercializes fat supplements. The authors have not stated any other conflicts of interest.

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