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Effect of biochanin A on the rumen microbial community of Holstein steers consuming a high fiber diet and subjected to a subacute acidosis challenge

  • Brittany E. Harlow ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

    brittany.harlow@usda.gov

    Affiliation United States Department of Agriculture, Forage Animal Production Research Unit, Agricultural Research Service, Lexington, KY, United States of America

  • Michael D. Flythe,

    Roles Conceptualization, Writing – original draft, Writing – review & editing

    Affiliation United States Department of Agriculture, Forage Animal Production Research Unit, Agricultural Research Service, Lexington, KY, United States of America

  • James L. Klotz,

    Roles Resources, Writing – review & editing

    Affiliation United States Department of Agriculture, Forage Animal Production Research Unit, Agricultural Research Service, Lexington, KY, United States of America

  • David L. Harmon,

    Roles Resources, Writing – review & editing

    Affiliation Department of Animal and Food Sciences, University of Kentucky, Lexington, KY, United States of America

  • Glen E. Aiken

    Roles Conceptualization, Formal analysis, Supervision, Writing – review & editing

    Affiliation North Florida Research and Education Center, University of Florida, Quincy, FL, United States of America

Abstract

Subacute rumen acidosis (SARA) occurs when highly fermentable carbohydrates are introduced into the diet, decreasing pH and disturbing the microbial ecology of the rumen. Rumen amylolytic bacteria rapidly catabolize starch, fermentation acids accumulate in the rumen and reduce environmental pH. Historically, antibiotics (e.g., monensin, MON) have been used in the prevention and treatment of SARA. Biochanin A (BCA), an isoflavone produced by red clover (Trifolium pratense), mitigates changes associated with starch fermentation ex vivo. The objective of the study was to determine the effect of BCA on amylolytic bacteria and rumen pH during a SARA challenge. Twelve rumen fistulated steers were assigned to 1 of 4 treatments: HF CON (high fiber control), SARA CON, MON (200 mg d-1), or BCA (6 g d-1). The basal diet consisted of corn silage and dried distiller’s grains ad libitum. The study consisted of a 2-wk adaptation, a 1-wk HF period, and an 8-d SARA challenge (d 1–4: 40% corn; d 5–8: 70% cracked corn). Samples for pH and enumeration were taken on the last day of each period (4 h). Amylolytic, cellulolytic, and amino acid/peptide-fermenting bacteria (APB) were enumerated. Enumeration data were normalized by log transformation and data were analyzed by repeated measures ANOVA using the MIXED procedure of SAS. The SARA challenge increased total amylolytics and APB, but decreased pH, cellulolytics, and in situ DMD of hay (P < 0.05). BCA treatment counteracted the pH, microbiological, and fermentative changes associated with SARA challenge (P < 0.05). Similar results were also observed with MON (P < 0.05). These results indicate that BCA may be an effective alternative to antibiotics for mitigating SARA in cattle production systems.

Introduction

The rumen is an anaerobic ecosystem in which nutrients that the animal consumes are fermented by a resident phylogenetically and metabolically diverse microbial community [1]. These fermentative substrates from the diet can be converted into short chain fatty acids (SCFA), which are then removed from the rumen by absorption into the blood stream or passage to the lower tract. A healthy stable rumen environment can be maintained if substrate fermentation rates are not in excess of buffering capacity (primarily via salivary secretions) and the rate of absorption/passage keeps up with production of SCFA. Subacute rumen acidosis (SARA) is commonly associated with adaptation to high grain diets. The pathogenesis of SARA is characterized by the accumulation of SCFA in the rumen leading to environmental pH decline (pH 5.6–5.0; [25]). When an adapted animal consumes a diet rich in starch, resident amylolytic bacteria (e.g., lactobacilli and Streptococcus bovis) proliferate and produce SCFA and lactic acid [6]. Rumen lactate-utilizing bacteria (e.g., Megasphaera elsdenii, Selenomonas ruminatium) then metabolize lactate into the SCFA propionate. When environmental pH drops below 5.6, SCFA absorption rate is enhanced preventing excess SCFA accumulation in the environment and further pH decline [7].

Despite this adaptation, low pH can have negative impacts on the fermentative efficiency of other rumen microbial guilds, production of microbial toxins, and animal physiology. For example, resident cellulolytic bacteria that are solely responsible for dietary fiber utilization, do not grow at a rumen pH < 6.0 leading to decreases in viable numbers and consequent fiber digestibility (in situ studies: 20–25% reduction in fiber digestibility; [810]). Additionally, rumen ciliated protozoa are extremely sensitive to reductions in rumen pH [1113]. Subacute rumen acidosis has also been associated with damage to the rumen epithelial tissue (rumenitis), increased endotoxin and inflammatory mediators, liver abscesses, and laminitis [5,6,1416].

Feed additive antimicrobials (e.g., monensin, virginiamycin, lasalocid) are often employed in the prevention and treatment of SARA in cattle [1720]. Dietary inclusion of the ionophore, monensin (MON), has been demonstrated to: reduce the incidence of acidosis via antimicrobial action against amylolytic bacteria [21,22], improve feed efficiency [23,24], decrease rumen methane production [2527], and increase rumen bypass protein by inhibiting amino acid/peptide-fermenting bacteria (APB) in the rumen [2830]. Despite the advantages of MON, due to the concern for the spread of antibiotic resistance both the European Union [31] and the United States [32,33] have taken steps to reduce the use of antibiotics in food animal production systems. Therefore, antibiotic alternatives are of interest for the treatment and prevention of SARA. In addition to these regulatory issues, it is important to note that a marked disadvantage of commonly utilized feed antibiotics (e.g., ionophores like monensin) is that they have a broad spectrum of activity, which include some rumen cellulolytic bacteria [34]. Discovery and development of novel antimicrobials provides the opportunity to find compounds with improved spectra of activity, reduced toxicity and other advantages over currently available products.

Many plants, including forage species in pastures, can produce antimicrobial secondary metabolites that can have beneficial impacts on rumen fermentation and function [3538]. Biochanin A (BCA), an isoflavone produced by the forage legume red clover (Trifolium pratense), has been shown to reverse the impacts of rumen acidosis via selective antimicrobial action in an in vitro and ex vivo model [39]. Additionally, BCA has been shown to inhibit APB [38,4043], promote cellulolytic bacteria and fiber degradation [39,42,43], and improve average daily gains of grazing cattle [41,43]. Therefore, BCA could potentially serve as an effective mitigation strategy for SARA, but evaluation in vivo is required. The following experiment was conducted to determine the microbiological impacts of BCA in comparison to the feed antimicrobial MON in steers subjected to a short 2-step SARA challenge. The hypotheses were that BCA would: 1) mitigate microbiological changes and pH decline associated with the SARA challenge, 2) increase cellulolytic viable numbers and fiber degradation, and 3) suppress rumen APB.

Materials and methods

All procedures were approved by the Institutional Animal Care and Use Committee at the University of Kentucky (protocol #: 2016–2450). General housing and care of the animals were consistent with the Guide for Care and Use of Agricultural Animals in Research and Teaching [44].

Experimental design and diets

Twelve rumen fistualted Holstein steers (Initial BW: 373 ± 7.5 kg) with no history of antibioitic administration or gastrointestinal disease in the preceding 4 months were blocked by weight and randomly assigned to 1 of 4 treatments: 1) high fiber control (HF CON; n = 3), 2) SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; n = 3), or SARA + BCA treatment (BCA; n = 3). The experiment was conducted over 29 days. All steers were first adapted to the basal diet (corn silage + 2.27 kg dried distillers’ grains, to meet protein requirements; Table 1) for 14 days (adaptation period). After the adaptation period, the steers remained on the basal diet for another 7 days (high fiber period). During the high fiber period, the MON and BCA treatments were mixed in loose mineral and dosed transruminally (through the cannula) with 0.45 kg of dried distillers’ grain, at 09:00 each day. The MON medicated loose mineral was dosed to provide 200 mg of MON per day as per manufacturer’s direction (Rumensin Beef Mineral Medicated Premix, KNS #634; Kentucky Nutrition Service, Lawrenceburg, KY, USA). Purified BCA (Indofine Chemical Company Inc., Hillsborough, NJ, USA) was dosed at 6 g per day (representing ~30% red clover diet; [41]) in an equal amount of conventional loose mineral (Beef Pasture Mineral, KNS #600; KNS). The high fiber control and SARA control steers also were dosed transruminally with an equal amount of dried distillers’ grain and loose mineral. Following the high fiber period, the high fiber control steers remained on the basal diet. All other steers were subjected to a cracked corn challenge designed to elicit SARA consisting of a 40% cracked corn diet (40% cracked corn + 60% basal diet, as fed basis) for 4 days (Table 1; 60:40 SARA challenge period) immediately followed by a 70% cracked corn diet (70% cracked corn + 30% basal diet, as fed basis) for 4 days (30:70 SARA challenge period). Transruminal dosing of dried distillers’ grain, loose mineral, and treatments when applicable continued during the SARA challenge periods.

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Table 1. Nutrient composition corn silage, dried distillers’ grain (DDG), and cracked corn (dry matter basis)1.

https://doi.org/10.1371/journal.pone.0253754.t001

Holstein steers were housed at the University of Kentucky C. Oran Little Research Center Beef Unit in Woodford County, KY, USA. Steers were group housed in outdoor pens for the first 7 days of the adaptation period. For the remainder of the study (22 days), steers were housed in outdoor individual pens (3 x 3.7 m) to allow for monitoring of feed intake daily. Steers were allowed 1 h of group turnout daily immediately prior to feeding (09:00) when individually housed. All steers were provided water and the basal diet ± cracked corn ad libitum over the course of the study. Free choice conventional loose mineral (KNS #600) was available to all steers during the adaptation period. Samples of dietary components were collected every week over the course of the experiment. All samples were dried, ground to pass through a 1-mm screen using a Wiley mill, and analyzed for CP, ADF, NDF, and true in vitro digestible DM (IVTD). Crude protein was analyzed using a Leco FP-215 N Analyzer (CP = % N × 6.25; Leco Corp., St. Joseph, MI, USA). Acid detergent fiber and NDF were analyzed using an ANKOM fiber analyzer as a modification to procedures of Goering and Van Soest ([45]; addition of α-amylase to the NDF procedure). True IVTD was determined by following procedures for estimating true digestibility using the ANKOM Daisy II Incubator [46].

Fistulated Holstein rumen sampling

Rumen fisulated Holstein steers were sampled at 4 h post-feeding (13:00) on the last day of each experimental period (d 14, 21, 25, 29). On each sample day, rumen contents (~ 1 kg) were collected from each steer individually. Immediately post-collection, ~250 g of the contents were strained through 3 layers of cheesecloth (Grade #90) to collect rumen fluid. A portion of the collected rumen fluid (15 mL) was placed on ice and frozen for later fermentation end-product analyses (described below). The remaining collected rumen fluid was used to inoculate enumeration media (10-fold dilution, as described below) and for pH determination within 10 min of collection. Rumen fluid pH was taken with a pH meter (Accumet™ Research, AR10 pH meter; Fisher Scientific, USA with a Broadley-James® pH electrodes; Broadley® James, Irvine, CA, USA), calibrated to pH 4.0 and 7.0, at 4 h post-feeding on all sample days. Additionally, on both SARA challenge period sample days (d 25 and 29), rumen fluid pH was determined with a pH meter at 0 (immediately prior to morning feeding), 2, 4 and 8 h.

Fistulated Holstein In situ Dry matter (DM) disappearance

In situ procedures were selected based on the recommendations for standardization by Vanzant and colleagues [47]. For the last 72 h of each experimental period, Dacron bags (10 cm × 20 cm; pore size = 50 ± 10 microns porosity; ANKOM Technology, Macedon, NY, USA) containing 5 g of finely ground (2 mm screen; model 4 Wiley Mill; Thomas Scientific, Swedesboro, NJ, USA) low-quality or high-quality grass hay (Table 2) were placed in the rumen of each animal. Both hay quality types utilized consisted of an orchardgrass and timothy mixed hay. Bags in duplicate were inserted in a weighted mesh bag in the rumen at approximately 0, 24, 48, 60, 66, and 70 h to be removed together at 72 h. Two blank Dacron bags incubated for 72 h were used to correct for rumen microbial and feed contamination. Loss of DM during rinsing was determined using two non-incubated bags for each animal. Upon removal, bags were rinsed 5 times with cold water (1min rinse-1) using a commercial washing machine set at low water level. Rinsed bags were dried at 55°C for 48 h, and reweighed to determine DM disappearance. Dry matter disappearance was determined for all in situ replicates.

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Table 2. Nutrient composition of low- and high-quality hay (dry matter basis).

https://doi.org/10.1371/journal.pone.0253754.t002

Media and bacterial enumerations

Immediately following collection, each rumen fluid sample was serially diluted (10-fold w/w) in anaerobic phosphate buffered saline (pH 7.4, N2-sparged; 8 g NaCl, 0.2 g KCl, 1.44 g Na2HPO4 per L) for the inoculation of enumeration media (described below).

The carbohydrate-utilizing bacteria basal medium used was based on Mantovani and Russell [48]. This medium was heavily buffered to maximize growth, and contained (per liter): 240 mg KH2PO4, 240 mg K2HPO4, 480 mg (NH4)2SO4, 480 mg NaCl, 64 mg CaCl2 · 2H2O, 100 mg MgSO4 · 7H2O, 600 mg cysteine hydrochloride, 1,000 mg Trypticase, 500 mg yeast extract; initial pH 6.7; autoclaved to remove O2 and cooled under O2 –free CO2. The buffer (4,000 mg Na2CO3) was added before dispensing and autoclaving for sterility.

The carbohydrate-utilizing bacteria medium with soluble starch from potato as a substrate (10,000 mg L-1) was used for enumeration of total amylolytic bacteria [49,50]. The tubes were incubated (39 °C, 3 d). The highest dilution exhibiting bacterial growth (visual examination, OD600) was recorded as the viable number.

Total cellulolytic medium was based on Stack et al. [51]. This medium consisted of carbohydrate-utilizing bacteria medium amended with 1 mg phenylacetic acid, 3.1 mL VFA solution (7.15 mol L-1 acetic acid,1.92 mol L-1 propionic acid, 783.66 mmol L-1 butyric acid, 222.28 mmol L-1 valeric acid, 216.19 mmol L-1 isovaleric acid, 264.13 mmol L-1 isobutyric acid, 227.87mmol L-1 2-methylbutyric acid), and Whatman #1 filter paper strips as the growth substrate. Additionally, the viable number of 2-deoxy, D- glucose (2-DG) resistant cellulolytic bacteria were enumerated by amending the total cellulolytic medium with 2-DG (6 mmol L-1). Incubations were carried out at 39 °C for 10 d. Growth was evaluated daily by dissolution of the cellulose substrate and microscopy. The final dilution exhibiting dissolution of cellulose on d 10 was recorded as the viable number of cellulolytic bacteria.

Bile esculin azide agar (Enterococcosel™; Becton, Dickinson and Co. (BD), Franklin Lake, NJ, USA) and Rogosa SL agar (BD) were used for aerobic enumeration of Lancefield Group D Gram-positive cocci (GPC; enterococci and streptococci) and lactobacilli, respectively. Both media types were prepared in Petri plates according to the manufacturer’s directions. The plates were incubated aerobically (39 °C, 3 d). Plates with 30 < x < 300 colonies were counted. Black colonies on bile esculin azide agar were counted as GPC. All colonies on Rogosa SL agar were counted as lactobacilli.

The low-N basal medium contained (per liter): 240 mg KH2PO4, 240 mg K2HPO4, 480 mg Na2SO4, 480 mg NaCl, 64 mg CaCl2 · 2H2O, 100 mg MgSO4 · 7H2O, and 600 mg cysteine hydrochloride, with additional vitamins and trace minerals as previously described [52]. The initial pH was adjusted to 6.7 and the medium was autoclaved (121 °C, 103 kPa, 20 min) to remove O2 and cooled under O2-free CO2. The buffer (4,000 mg Na2CO3) was added before dispensing and autoclaving for sterility.

Total peptide-utilizing and amino acid-utilizing bacteria were enumerated in low-Nbasal media amended to include either 15 mg mL-1 Trypticase or 15 mg mL-1 Casamino acids, respectively (Becton Dickinson, Franklin Lake, NJ). Inoculated tubes were incubated (39 °C, 3 d), and the highest dilution exhibiting bacterial growth (visual examination, OD600) was recorded as the viable number.

Total gelatin-hydrolyzing bacteria were enumerated in low-N basal media amended to include 100 mg mL-1 gelatin (added prior to 2nd autoclaving step). Tubes were inoculated and incubated (39 °C, 5 d), and the highest dilution exhibiting bacterial growth (visual examination of gelatin hydrolysis after 1 h at 4 °C) was recorded as the viable number.

Fermentation end-product analyses by HPLC

Rumen fluid samples were thawed and clarified in a microcentrifuge (21,000 × g, 2 min). Short chain fatty acids (SCFA; lactate, acetate, propionate, butyrate, IVMB: isovalerate and/or methylbutyrate, and valerate) were quantified using HPLC (Summit HPLC; Dionex, Sunnyvale, CA, USA) equipped with an anion exchange column (Aminex, HP-87H; Bio-Rad, Hercules, CA, USA), refractive index (Shodex/Showa Denko, Kanagawa, Japan) and UV detector. The eluting compounds were isocratically separated with a sulfuric acid mobile phase (5 mmol L-1, aqueous). The column was operated at 50°C with a 0.4 mL min-1 flow rate and 0.1 mL injection volume.

Statistical analyses

Prior to statistical analyses bacterial enumerations were normalized by log transformation. All data were analyzed using repeated measures in PROC MIXED of SAS, with individual steer being used as the experimental unit (SAS version 9.3, SAS Inst. Inc., Cary, NC; [53]). In the analyses block, sample day, sampling time (pH and in situ DM disappearance), treatment, the interaction between treatment and sample day, and the interaction between treatment and sampling time (pH and in situ DM disappearance) were analyzed as fixed effects with animal as the random variable. The Kenward-Roger method was used to compute the denominator degrees of freedom for the fixed effects and the repeated statement requested the compoud symmetry covariance structure. Mean separations were done using the PDIFF option of SAS. Statistical significance was set at P < 0.05 with trends observed at P < 0.10.

Results and discussion

Rumen pH, SCFA and amylolytic bacteria

Feed intake was unaffected by treatment and period (P > 0.05). Total feed intake on average was 2.9 ± 0.03% of BW on a DM basis over the course of the experiment. The average rumen fluid pH during the adaptation period, the high fiber period, and in HF CON steers over the course of the study (basal diet only) was 6.23 (range, 6.17–6.28) at 4 hours post-feeding. Steers that stayed on the basal HF diet did not display any significant rumen pH changes, either more or less acidic than the adaptation period, during any experimental period (P > 0.05). When steers were challenged with 40 or 70% cracked corn, pH declined and there was a treatment × time interaction for all time points (P ≥ 0.01, in all cases; Table 3). Rumen fluid pH in steers consuming cracked corn with no treatment (SARA CON) was ~0.5 and ~0.9 pH units lower (regardless of time point) than HF CON steers consuming the basal diet during the 60:40 and 30:70 SARA challenge periods, respectively (P < 0.05). BCA and MON were both effective in partially mitigating pH decline associated with either SARA challenge (P < 0.05). BCA treatment was found to be more effective during the 60:40 and 30:70 SARA challenge periods at 2, 4 and 8 h (excluding 2 h during the 30:70 SARA challenge period where they were equally effective) in comparison to MON (P < 0.05). However, despite the statistical differences observed between BCA and MON, the difference in pH mitigation between these treatments were not biologically meaningful.

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Table 3. Effect of biochanin A on rumen fluid pH during a 40% and 70% corn SARA challenge at 0 (pre-feeding), 2, 4, and 8 h (true means; n = 3).

https://doi.org/10.1371/journal.pone.0253754.t003

It is widely accepted and has been repeatedly demonstrated that rumen pH stability is a critical factor in the maintenance of normal and stable rumen function including both microbial community (e.g., viability and fermentative capacity) and physiological stability (e.g., motility and absorptive functions; [54]). Although rumen pH will fluctuate in proximity to feed consumption, is dependent on dietary composition, and can be influenced by animal to animal variation, normal rumen pH is typically considered to be > 5.6 [5] Therefore, accumulation of SCFA and a decrease in rumen pH below 5.6 can have a significant impact on microbial community stability, overall rumen health and consequently animal productivity and health. Subacute rumen acidosis has been defined as a rumen pH ranging between 5.0 and 5.6 [25]. Based on this definition, all SARA CON steers in the current study suffered from SARA at 2 and 4 h post-feeding during the 60:40 SARA challenge period and at all time points tested during the 30:70 SARA challenge period. Therefore, both cracked corn challenge levels were effective at inducing SARA. No MON or BCA treated steers were in SARA during the 60:40 challenge period demonstrating that both treatments were able to mitigate SARA development at a 40% cracked corn diet concentration. In contrast, when steers were stepped up to a 70% cracked corn diet, MON treated steers entered SARA at 2 (2/3 steers), 4 (all 3 steers) and 8 h (1/3 steers) post-feeding, but BCA treated steers suffered from SARA only at 4 h (2/3 steers). The minimum amount of time of suboptimal rumen pH required to have negative impacts on microbial and physiological rumen function is unknown. However, studies utilizing continuous culture systems have suggested that there is a direct relationship between increasing duration of suboptimal pH and a decline in microbial stability and fermentative capacity [5560]. Continuous rumen pH monitoring was not evaluated in the current study, but the interval pH data that was collected suggest that at higher levels of cracked corn supplementation (70% in the current study), BCA treatment may be more effective than MON at decreasing the duration of time that the rumen pH was suboptimal for fermentation. It is important to note that the corn challenge utilized in the current study was short in comparison to what animals would be exposed to in finishing systems (> 100 d). Therefore, although the corn challenge was effective at inducing SARA, a longer exposure may elicit different results.

When steers consumed a basal diet of corn silage and dried distillers’ grains to meet protein requirements ad libitum, on average rumen SCFA concentrations were approximately: 40 mmol L-1 acetate, 32 mmol L-1 propionate, 16 mmol L-1 butyrate, 1.6 mmol L-1 IVMB, 2 mmol L-1 valerate and 91 mmol L-1 total SCFA (Table 4). Although lactate was detected in some rumen fluid samples, it was negligible and below the level of quantification (< 1 mmol L-1). There was no individual effect or interaction of treatment and sample day on butyrate, IVMB, or valerate concentrations (P > 0.05, in all cases). A treatment × sample day interaction was detected for acetate, propionate, total SCFA and acetate to propionate ratio (P < 0.01, in all cases). Steers treated with BCA had higher rumen fluid acetate concentrations (+10 mmol L-1) and total SCFA (+14 mmol L-1) during the high fiber period than any other treatment (P < 0.05). The apparent promotion of acetate production with BCA treatment is consistent with previous results Acetate is a common product of both ecological generalist microbiota and cellulolytic bacteria [54]. Previous results from our research group indicated that BCA was selectively inhibitory to some cellulolytic bacteria, but the net impact was increased acetate concentrations and DMD by mixed rumen microbiota during in vitro experiments [42]. Similarly, rumen fluid from grazing steers showed greater acetate concentrations and fiber digestion when the steers were supplemented with isoflavones via red clover hay [43].

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Table 4. Effect of biochanin A on rumen fluid short chain fatty acid (SCFA) concentrations at 4 h post-feeding (mmol L-1; true means; n = 3).

https://doi.org/10.1371/journal.pone.0253754.t004

When steers were challenged with 40% cracked corn (SARA CON), propionate (+32 mmol L-1) and total SCFA (+34 mmol L-1) concentrations increased, and consequently the acetate to propionate ratio decreased in comparison to HF CON (P < 0.05). Treatment with MON decreased propionate and acetate production in comparison to SARA CON and HF CON, respectively (P < 0.05). BCA treated steers had similar propionate concentrations (P > 0.05) but had increased acetate (+7 mmol L-1) and total SCFA (+12 mmol L-1; P < 0.05), allowing for maintenance of an acetate to propionate ratio that was present in the HF CON steers (P > 0.05). After being stepped up to a 70% cracked corn challenge, propionate (+42.6 mmol L-1) and total SCFA (+37 mmol L-1) concentrations continued to increase in SARA CON steers and acetate (-14 mmol L-1) decreased in comparison to HF CON (P < 0.05). Both MON and BCA treatment partially mitigated the increase in propionate and total SCFA production (P < 0.05). BCA treatment continued to maintain higher acetate concentrations than any other treatment during the SARA challenge periods and an acetate to propionate ratio that was similar to HF CON (P < 0.05).

It is widely accepted that rumen fermentation and the products produced are dependent on diet. Acetate to propionate ratio is generally lower in cereal grain fermentations as opposed to forages. Typically, these differences in dietary SCFA production are primarily attributed to the metabolic characteristics of fiber-degrading vs. starch-degrading bacteria. However, it has also been suggested that a reduction in pH alone can partially account for decreased acetate to propionate ratio by decreasing the viability of rumen methanogens and consequently impairing H2 reduction [56,61]. When a high carbohydrate diet is consumed, amylolytic bacteria proliferate and lactate is rapidly produced in the rumen. In SARA this lactate does not accumulate in the rumen environment because it is rapidly metabolized to propionate by resident lactate-fermenting bacteria [13]. Therefore, the negligible lactate concentrations and increased propionate concentrations detected in the current study with SARA challenge were expected. The observed increased concentrations of total SCFA and lower acetate to propionate ratio with SARA induction in the current study are consistent with fermentation of high-starch diets and the pathogenesis of SARA [2,3,6,56]. It is important to note, that although the total SCFA concentrations reported are comparable, the acetate to propionate ratio over the course of the current study was relatively low when compared to reported values in the literature [14,16,20]. This could be partly attributed to any of the aforementioned variables described above but is likely multifactorial and requires further investigation.

When steers were consuming corn silage and dried distillers’ grain, 108–109 total viable amylolytic bacteria per mL rumen fluid were detected, regardless of treatment (Fig 1). There was a trend for a treatment × sample day interaction for the viable number of amylolytic bacteria (P = 0.07). When steers were challenged with 40% cracked corn, the total number of amylolytic bacteria increased 2.5-fold with no effect of MON or BCA treatment (P < 0.05). The viable number of amylolytics continued to increase 10-fold in the SARA control when the corn challenge was increased to 70% (P < 0.05). Both BCA and MON treatment were equally effective at preventing further proliferation of amylolytic bacteria when cracked corn was increased from 40% to 70% (P < 0.05).

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Fig 1. The effect of biochanin A on the viable number of amylolytic bacteria in rumen fluid (4 h post-feeding).

Holstein steers (n = 12) were blocked by weight into 1 of 4 treatments: High fiber control (HF CON; basal diet control, corn silage + dried distillers’ grain, to meet protein requirements; n = 3), SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; 200 mg d-1 monensin; n = 3), or SARA + biochanin A treatment (BCA; 6 g d-1 biochanin A; n = 3). Rumen fluid samples were taken at the end of the adaptation period (100% basal diet), high fiber period (100% basal diet + treatments), 60:40 SARA challenge period (60% basal diet + 40% cracked corn + treatments), and 30:70 SARA challenge period (30% basal diet + 70% cracked corn + treatments) for amylolytic bacterial enumeration. The enumerations were performed in anaerobic liquid media with soluble starch as the growth substrate. The tubes were incubated (39°C, 3 d), and the final dilution exhibiting bacterial growth (visual examination; OD600) was recorded as the viable number. Means lacking a common English letter are different within sample day (P < 0.05). Means lacking a common Greek letter are different over sample days within treatment (P < 0.05). Treatment: P = 0.0150, sample day: P = 0.0002, and treatment × sample day: P = 0.0680; Pooled SEM: Treatment = 0.0833, sample day = 0.1102, treatment × sample day = 0.2205 (log transformed).

https://doi.org/10.1371/journal.pone.0253754.g001

Results similar to total amylolytics were also observed for two broad phylogenetic groups within the amylolytic guild, Gram-positive cocci (GPC; Fig 2) and lactobacilli (Fig 3). When steers were consuming the basal diet, on average 8.34 × 104 and 3.3 × 105 CFU per mL total GPC and lactobacilli were enumerated, respectively. There was a treatment × sample day interaction for both GPC and lactobacilli (P < 0.0001, in both cases). When steers were challenged with a 40% cracked corn diet, GPC and lactobacilli proliferated and continued to increase when the diet was stepped up to 70% cracked corn (P < 0.05). There was no effect of MON treatment on GPC or lactobacilli when steers consumed the basal diet or the 60:40 SARA challenge diet (P > 0.05). During the 30:70 SARA challenge, MON treatment partially inhibited the GPC proliferation compared to SARA CON steers (P < 0.05) but had no effect on the viable number of lactobacilli (P > 0.05). Similarly, there was no effect of BCA during the HF period for either amylolytic population or on the viable number of GPC during the 60:40 SARA challenge period (P > 0.05). Biochanin A treatment partially mitigated the proliferation of lactobacilli in both SARA challenge periods and GPC in the 30:70 SARA challenge period (P < 0.05).

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Fig 2. Effect of biochanin A on the viable number of Group D Gram-positive cocci (GPC; Streptococcus bovis, Enterococcus spp.) in rumen fluid (4 h post-feeding).

Holstein steers (n = 12) were blocked by weight into 1 of 4 treatments: High fiber control (HF CON; basal diet control, corn silage + dried distillers’ grain, to meet protein requirements; n = 3), SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; 200 mg d-1 monensin; n = 3), or SARA + biochanin A treatment (BCA; 6 g d-1 biochanin A; n = 3). Rumen fluid samples were taken at the end of the adaptation period (100% basal diet), high fiber period (100% basal diet + treatments), 60:40 SARA challenge period (60% basal diet + 40% cracked corn + treatments), and 30:70 SARA challenge period (30% basal diet + 70% cracked corn + treatments) for GPC bacterial enumeration. GPC were enumerated on bile esculin azide agar (BD). The plates were incubated aerobically (39°C, 3 d). Plates with 30 < x < 300 colonies were counted. Black colonies on bile esculin azide agar were counted as GPC. Means lacking a common English letter are different within sample day (P < 0.05). Means lacking a common Greek letter are different over sample days within treatment (P < 0.05). Treatment: P < 0.0001, sample day: P < 0.0001, and treatment × sample day: P < 0.0001; Pooled SEM: Treatment = 0.0156, sample day = 0.0192, treatment × sample day = 0.0385 (log transformed).

https://doi.org/10.1371/journal.pone.0253754.g002

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Fig 3. Effect of biochanin A on the viable number of lactobacilli in rumen fluid (4 h post-feeding).

Holstein steers (n = 12) were blocked by weight into 1 of 4 treatments: High fiber control (HF CON; basal diet control, corn silage + dried distillers’ grain, to meet protein requirements; n = 3), SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; 200 mg d-1 monensin; n = 3), or SARA + biochanin A treatment (BCA; 6 g d-1 biochanin A; n = 3). Rumen fluid samples were taken at the end of the adaptation period (100% basal diet), high fiber period (100% basal diet + treatments), 60:40 SARA challenge period (60% basal diet + 40% cracked corn + treatments), and 30:70 SARA challenge period (30% basal diet + 70% cracked corn + treatments) for lactobacilli bacterial enumeration. The enumerations were performed on Rogosa SL agar (BD). The plates were incubated aerobically (39°C, 3 d). Plates with 30 < x < 300 colonies were counted. All colonies on Rogosa SL agar were counted as lactobacilli. Means lacking a common English letter are different within sample day (P < 0.05). Means lacking a common Greek letter are different over sample days within treatment (P < 0.05). Treatment: P < 0.0001, sample day: P < 0.0001, and treatment × sample day: P < 0.0001; Pooled SEM: Treatment = 0.0352, sample day = 0.0398, treatment × sample day = 0.0796 (log transformed).

https://doi.org/10.1371/journal.pone.0253754.g003

Cellulolytic bacteria and In situ DM disappearance

When steers consumed corn silage with supplemental dried distillers’ grains (to meet protein requirements), 107 viable cells per mL total cellulolytic bacteria were detected, regardless of MON or BCA treatment (Fig 4). A treatment × sample day interaction was observed for the viable number of total cellulolytic bacteria (P < 0.0001). Cellulolytic bacteria were inhibited 10-fold (106 viable cells per mL) and an additional 100-fold (104) during the 60:40 and 30:70 SARA challenge periods, respectively (P < 0.05). When steers were treated with MON, an even greater inhibition of total cellulolytic bacteria was observed (100-fold, 105 viable cells per mL) during the 60:40 challenge (P < 0.05), but no further inhibition occurred in the 30:70 SARA challenge period (P > 0.05). In contrast BCA treatment was able to partially mitigate the decline in viable cellulolytic bacteria associated with both levels of SARA challenge (P < 0.05).

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Fig 4. Effect of biochanin A on the viable number of total cellulolytic bacteria in rumen fluid (4 h post-feeding).

Holstein steers (n = 12) were blocked by weight into 1 of 4 treatments: High fiber control (HF CON; basal diet control, corn silage + dried distillers’ grain, to meet protein requirements; n = 3), SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; 200 mg d-1 monensin; n = 3), or SARA + biochanin A treatment (BCA; 6 g d-1 biochanin A; n = 3). Rumen fluid samples were taken at the end of the adaptation period (100% basal diet), high fiber period (100% basal diet + treatments), 60:40 SARA challenge period (60% basal diet + 40% cracked corn + treatments), and 30:70 SARA challenge period (30% basal diet + 70% cracked corn + treatments) for total cellulolytic bacterial enumeration. The enumerations were performed in anaerobic liquid media with cellulose (Whatman #1 filter paper strips) as the growth substrate. The tubes were incubated (39°C, 10 d), and the final dilution exhibiting dissolution of cellulose (visual examination) was recorded as the viable number. Means lacking a common English letter are different within sample day (P < 0.05). Means lacking a common Greek letter are different over sample days within treatment (P < 0.05). Treatment: P < 0.0001, sample day: P < 0.0001, and treatment × sample day: P < 0.0001; Pooled SEM: Treatment = 0.0417, sample day = 0.0417, treatment × sample day = 0.0833 (log transformed).

https://doi.org/10.1371/journal.pone.0253754.g004

The inhibitor 2-deoxy-D-glucose (2-DG) is a non-metabolizable glucose analog that inhibits phosphorylation of glucose by hexokinase, the first step of glycolysis. Historically, 2-DG has been used to study carbohydrate metabolism and transport by cellulolytic microorganisms [62,63], but has also been used as a selective agent for the isolation of glucose de-regulated, highly cellulolytic (high cellulase producing), microorganisms [6467]. Therefore, 2-DG was utilized in the current study as a media addition to enumerate a subset of strictly cellulolytic bacteria from the rumen. These cellulolytic organisms that do not transport monomeric glucose are a subset of the cellulolytic guild in the same way that lactobacilli and GPC are subsets of the amylolytic guild.

Steers consuming the basal diet on average had 9.1 × 104 2-DG resistant cellulolytic bacteria, approximately 1% of the total cellulolytic bacteria (Fig 5). There was a treatment × sample day interaction detected for 2-DG resistant cellulolytic bacteria (P < 0.0001). Treatment with BCA during the HF period increased the viable number of 2-DG resistant cellulolytic bacteria >10-fold (106 viable cells per mL; P < 0.05). Similarly, to what was observed in total cellulolytic bacteria enumerations, 2-DG resistant cellulolytic bacteria were inhibited by 60:40 SARA challenge (104), with even greater inhibition observed with 30:70 SARA challenge (103; P < 0.05). Treatment with MON had no effect on 2-DG resistant cellulolytics during the 60:40 SARA challenge period (same as SARA CON), but partially mitigated their inhibition in 30:70 SARA challenge (+10-fold compared to SARA CON; P < 0.05). This latter result suggests that the 2-DG resistant species might be more sensitive to acidic pH or fermentation acids than to the inhibitor, monensin. Treatment with BCA maintained 106 total 2-DG resistant cellulolytic bacteria despite SARA challenge (P < 0.05). These results indicate that not only does BCA treatment mitigate declines in viable cellulolytic bacteria during SARA, it also promotes a sub-population of cellulolytic 2-DG resistant bacteria, even when steers were consuming the basal diet with no added cracked corn.

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Fig 5. Effect of biochanin A on the viable number of 2-deoxy-D-glucose (2-DG) resistant cellulolytic bacteria in rumen fluid (4 h post-feeding).

Holstein steers (n = 12) were blocked by weight into 1 of 4 treatments: High fiber control (HF CON; basal diet control, corn silage + dried distillers’ grain, to meet protein requirements; n = 3), SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; 200 mg d-1 monensin; n = 3), or SARA + biochanin A treatment (BCA; 6 g d-1 biochanin A; n = 3). Rumen fluid samples were taken at the end of the adaptation period (100% basal diet), high fiber period (100% basal diet + treatments), 60:40 SARA challenge period (60% basal diet + 40% cracked corn + treatments), and 30:70 SARA challenge period (30% basal diet + 70% cracked corn + treatments) for 2-DG resistant cellulolytic bacterial enumeration. The enumerations were performed in anaerobic liquid media with cellulose (Whatman #1 filter paper strips) as the growth substrate with added 2-DG (6 mmol L-1). The tubes were incubated (39°C, 10 d), and the final dilution exhibiting dissolution of cellulose (visual examination) was recorded as the viable number. Means lacking a common English letter are different within sample day (P < 0.05). Means lacking a common Greek letter are different over sample days within treatment (P < 0.05). Treatment: P < 0.0001, sample day: P < 0.0001, and treatment × sample day: P < 0.0001; Pooled SEM: Treatment = 0.1273, sample day = 0.0867, treatment × sample day = 0.1735 (log transformed).

https://doi.org/10.1371/journal.pone.0253754.g005

Please note that results obtained through broth dilution and growth of fibrolytic microorganism must be interpreted critically. Many cellulolytic and more generally fibrolytic bacteria can adhere to the fiber. In the method used, only those fiber particles small enough to pass through 3 layers of cheesecloth and an 18-gauge needle are added to the media. Thus, fiber-adherent microorganisms will be underrepresented. Furthermore, any growth medium is limited by the nutritional requirements of the microorganisms; i.e., only those which nutritional requirements are met by the medium will grow. Nevertheless, culture-based enumeration has a distinct advantage over the culture independent molecular methods commonly used today. The relationships inferred by alignment of 16S ribosomal subunit sequences are phylogenetic. They do not necessarily indicate the physiology or ecological roles of the microorganisms. However, when an organism grows on and dissolves cellulose, then it is clear that the organism is cellulolytic, regardless of its phylogenetic identity.

In addition to increasing the viable number of cellulolytic bacteria, BCA treatment also increased in situ disappearance of high (Fig 6A–6D) and low-quality hay (Fig 7A–7D). An effect of treatment was detected for the in situ dry matter disappearance of both the high- and low-quality hay substrates (P < 0.0001, in both cases). When steers consumed the basal diet only, the extent of in situ degradation after 72 h of incubation were 62% and 50% for high- (Fig 6A) and low- (Fig 7A) quality hay, respectively. Treatment with BCA during the HF period increased in situ DMD of high-quality hay after 2 (+3%), 6 (+3%), 12 (+4%), 24 (+5%) and 72 h (+4.5%) of rumen incubation (Fig 6B; P < 0.05). BCA treatment also increased in situ DMD of the low-quality hay substrate 2–4% at all time points during the HF period (Fig 7B; P < 0.05). In contrast, MON treatment had no impact on in situ DMD of hay when steers consumed the basal diet (P > 0.05). The effect of BCA on in situ DMD observed may be partially attributed to the observation that more, and/or compositionally different, cellulolytic microbiota were present in the rumen of steers given BCA.

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Fig 6. Effect of biochanin A addition on the in situ DM disappearance (% in situ DMD) of ground high quality grass hay in the steer rumen.

Holstein steers (n = 12) were blocked by weight into 1 of 4 treatments: High fiber control (HF CON; basal diet control, corn silage + dried distillers’ grain, to meet protein requirements; n = 3), SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; 200 mg d-1 monensin; n = 3), or SARA + biochanin A treatment (BCA; 6 g d-1 biochanin A; n = 3). In situ Dacron bags were added at 0, 24, 48, 60, 66, and 70 h of incubation into a weighted mesh bag in the rumen and removed together at 72 h on the last day of the (a) adaptation period (100% basal diet) (b) high fiber period (100% basal diet + treatments), (c) 60:40 SARA challenge period (60% basal diet + 40% cracked corn + treatments, as fed basis), and the (d) 30:70 SARA challenge period (30% basal diet + 70% cracked corn + treatments, as fed basis). Means lacking a common English letter are different within incubation time (P < 0.05); Treatment: P < 0.0001; Pooled SEM: Treatment = 0.8882.

https://doi.org/10.1371/journal.pone.0253754.g006

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Fig 7. Effect of biochanin A addition on the in situ DM disappearance (% in situ DMD) of ground low quality grass hay in the steer rumen.

Holstein steers (n = 12) were blocked by weight into 1 of 4 treatments: High fiber control (HF CON; basal diet control, corn silage + dried distillers’ grain, to meet protein requirements; n = 3), SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; 200 mg d-1 monensin; n = 3), or SARA + biochanin A treatment (BCA; 6 g d-1 biochanin A; n = 3). In situ Dacron bags were added at 0, 24, 48, 60, 66, and 70 h of incubation into a weighted mesh bag in the rumen and removed together at 72 h on the last day of the (a) adaptation period (100% basal diet) (b) high fiber period (100% basal diet + treatments), (c) 60:40 SARA challenge period (60% basal diet + 40% cracked corn + treatments, as fed basis), and the (d) 30:70 SARA challenge period (30% basal diet + 70% cracked corn + treatments, as fed basis). Means lacking a common English letter are different within incubation time (P < 0.05); Treatment: P < 0.0001; Pooled SEM: Treatment = 0.4265.

https://doi.org/10.1371/journal.pone.0253754.g007

Addition of cracked corn to the diet decreased in situ DMD of high-quality hay by 12 and 30% compared to the HF CON treatment during the 60:40 (Fig 6C) and 30:70 (Fig 6D) SARA challenge, respectively (72 h of rumen incubation). Similar, but let dramatic, results were observed with the low-quality hay substrate after 72 h of rumen incubation (8% less, 60:40 SARA challenge, Fig 7C; 19% less, 30:70 SARA challenge, Fig 7D; P < 0.05, in all cases). Treatment with MON had variable results on in situ DMD during the 60:40 SARA challenge period. At 6, 12 and 24 h of rumen incubation (excluding 6 h with high quality hay) MON treatment partially mitigated DMD decline associated with the SARA challenge (+0.3–3%, P < 0.05, in all cases). In contrast, at 72 h of incubation MON treated steers had 5% lower in situ DMD of high-quality hay than SARA CON steers (P < 0.05). A hypothesis to explain this latter result is that many generalist species, such as the numerically dominant, Gram-negative Prevotella species, can degrade NDF components [68]. The Gram-negative cell envelope makes these species more resistant to monensin [26]. However, to degrade more recalcitrant fibers left at 72 h would require different species, including the Gram-positive and monensin-sensitive ruminococci. During the 30:70 SARA challenge period, MON treatment partially mitigated in situ DMD decline at all time points for both hay substrates (excluding 24 h with high quality hay; +1.3–8.3%; P < 0.05, in all cases). Biochanin A treatment partially mitigated in situ DMD decline associated with SARA challenge at all time points regardless of challenge period or hay substrate (excluding 2 h with high quality hay during the 60:40 SARA challenge period; P < 0.05, in all cases). After 72 h of rumen incubation, in situ DMD of high-quality hay in BCA treated steers was 4.6% and 16.8% higher than SARA CON steers during the 60:40 and 30:70 SARA challenge periods, respectively (P < 0.05, in all cases). Similar improvements of in situ DMD were also observed with the low-quality hay substrate (after 72 h of incubation +3.5% and +7.3% during the 60:40 and 30:70 SARA challenge periods, respectively; P < 0.05, in all cases). Additionally, after 72 h of incubation, BCA treatment was consistently more effective than MON at mitigating in situ DMD decline with SARA challenge (P < 0.05. in all cases).

Cellulose is the most abundant carbohydrate in the world [69]. Furthermore, enzymes required for cellulose degradation are strictly microbial. Therefore, cellulolytic microbes are arguably the most important metabolic guild in the rumen. Cellulolytic bacteria in the rumen are highly sensitive to changes in environmental pH [810]. As expected, in the current study, both SARA challenge periods elicited rumen pH decline, cellulolytic bacteria inhibition, and reduced high- and low-quality hay in situ DMD in comparison to HF CON.

As mentioned previously, a disadvantage of commonly utilized feed antibiotics (e.g., ionophores like monensin) is that they have a broad spectrum of activity which include rumen cellulolytic bacteria. Therefore, their efficacy and benefits to both the health and performance of the animal are often considered to be diet dependent. For example, ionophore antibiotics do not consistently increase and oftentimes can actually decrease growth performance in cattle consuming high-fiber diets like those in pasture-based systems [70]. In contrast, research has demonstrated that when animals consume high-starch diets, like those in finishing systems, ionophore antibiotics consistently have both health and performance benefits [24,26,7175]. When steers consumed the high-fiber basal diet in the current study, there was no effect of MON treatment on the viable number of cellulolytic bacteria or the digestibility of either hay substrate. However, during the 60:40 SARA challenge period, steers supplemented with MON had fewer viable cellulolytic bacteria (100-fold) detected and lower in situ hay digestibility (-5%, HQ hay, 72 h) than control steers that consumed the same diet, but with no supplement. Therefore, consistent with previous research, MON treatment in the current study was not beneficial when steers consumed diets that were higher in fiber. However, when steers were challenged with a 70% cracked corn diet in the current study (similar to feedlot rations), MON treatment partially mitigated cellulolytic inhibition and improved high- and low-quality hay digestibility. Monensin, like other, more specific protonophores, is more potent at lower pH values [76]. The inhibition of sensitive microbial species decreases the total extentof fermentation and the higher pH and lower concentration of fermentation acids might spare some acid-sensitive, monensin-insensitive fibrolytic species.

Across all experimental conditions, BCA treatment provided greater benefits to the stability and presumably improved fermentative efficiency of the rumen cellulolytic bacterial community when compared to MON. During the HF period, BCA treatment selected for a metabolically different cellulolytic bacterial guild (+2-DG resistant) and demonstrated increased utilization of both the high- and low-quality hay substrates in situ (+2–5% DMD). In situ DMD of the fiber component specifically was not evaluated in the current study. However, these results are consistent with previous work from our laboratory that demonstrated that BCA treatment can improve cellulolytic fermentative efficiency presumably by ecological manipulation of the cellulolytic guild in an ex vivo rumen model [42]. Additionally, field experiments conducted by our research group have demonstrated increased ex vivo fiber degradation (+10–25% DMD) and average daily gains (+0.1–0.2 kg d-1) when BCA was supplemented in a purified form or via red clover hay to steers grazing mixed grass pastures in comparison to protein-matched controls [41,43]. Therefore, the improvement of in situ DMD of hay with BCA treatment observed in the current study could be result of improved fiber digestibility. Future research is needed to better elucidate the relationships between rumen microbial community structure and function with BCA treatment.

During both SARA challenge periods BCA treatment was most effective at partially mitigating cellulolytic bacteria inhibition and decreased in situ DMD of hay observed in the SARA CON steers. In addition to ecologically altering and apparently optimizing the cellulolytic guild, it is likely that the improvement in in situ DMD of hay with BCA treatment may be attributed to the less acidic pH during the SARA challenge periods.

Protein-, peptide- and amino acid-utilizing bacteria

Over the course of the experiment, 102–103 gelatin-hydrolyzing bacteria per mL rumen fluid were detected regardless of diet or treatment (P = 0.17; S1 Fig). When steers consumed the basal diet of corn silage and dried distillers’ grains 107–108, and 106−108 total peptide- (Fig 8) and amino acid-utilizing (Fig 9) bacteria were detected per mL rumen fluid, respectively. A treatment × sample day interaction was observed for the total viable number of peptide- (P < 0.0001) and amino acid-utilizing (P < 0.01) bacteria. During the HF period, BCA treatment decreased peptide- and amino acid- utilizing bacteria 10-fold and 100-fold, respectively (P < 0.05). In contrast, MON treatment had no effect during the HF period (P > 0.05). The viable numbers of peptide- and amino acid-utilizing bacteria increased 10–100-fold with SARA challenge (P < 0.05). Monensin treatment effectively inhibited the proliferation of peptide-utilizing bacteria and amino acid-utilizing bacteria during the 60:40 and 30:70 SARA challenge periods, respectively (P < 0.05); but remained similar to SARA CON steers in all other cases (P > 0.05). In contrast, BCA treatment inhibited the proliferation of peptide- and amino acid-utilizing bacteria in both SARA challenge periods to be lower (P < 0.05) or equal (P > 0.05) in viable number to the HF CON treatment.

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Fig 8. Effect of biochanin A on the viable number of peptide-utilizing bacteria in rumen fluid (4 h post-feeding).

Holstein steers (n = 12) were blocked by weight into 1 of 4 treatments: High fiber control (HF CON; basal diet control, corn silage + dried distillers’ grain, to meet protein requirements; n = 3), SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; 200 mg d-1 monensin; n = 3), or SARA + biochanin A treatment (BCA; 6 g d-1 biochanin A; n = 3). Rumen fluid samples were taken at the end of the adaptation period (100% basal diet), high fiber period (100% basal diet + treatments), 60:40 SARA challenge period (60% basal diet + 40% cracked corn + treatments), and 30:70 SARA challenge period (30% basal diet + 70% cracked corn + treatments) for peptide-utilizing bacteria enumeration. The enumerations were performed in anaerobic liquid media with Trypticase (BD) as the growth substrate. The tubes were incubated (39°C, 3 d), and the final dilution exhibiting growth (visual examination, OD600) was recorded as the viable number. Means lacking a common English letter are different within sample day (P < 0.05). Means lacking a common Greek letter are different over sample days within treatment (P < 0.05). Treatment: P = 0.0242, sample day: P < 0.0001, and treatment × sample day: P < 0.0001; Pooled SEM: Treatment = 0.2269, sample day = 0.1345, treatment × sample day = 0.2690 (log transformed).

https://doi.org/10.1371/journal.pone.0253754.g008

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Fig 9. Effect of biochanin A on the viable number of amino acid-utilizing bacteria in rumen fluid (4 h post-feeding).

Holstein steers (n = 12) were blocked by weight into 1 of 4 treatments: High fiber control (HF CON; basal diet control, corn silage + dried distillers’ grain, to meet protein requirements; n = 3), SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; 200 mg d-1 monensin; n = 3), or SARA + biochanin A treatment (BCA; 6 g d-1 biochanin A; n = 3). Rumen fluid samples were taken at the end of the adaptation period (100% basal diet), high fiber period (100% basal diet + treatments), 60:40 SARA challenge period (60% basal diet + 40% cracked corn + treatments), and 30:70 SARA challenge period (30% basal diet + 70% cracked corn + treatments) for amino acid-utilizing bacteria enumeration. The enumerations were performed in anaerobic liquid media with Casamino acids (BD) as the growth substrate. The tubes were incubated (39°C, 3 d), and the final dilution exhibiting growth (visual examination, OD600) was recorded as the viable number. Means lacking a common English letter are different within sample day (P < 0.05). Means lacking a common Greek letter are different over sample days within treatment (P < 0.05). Treatment: P = 0.0026, sample day: P < 0.0001, and treatment × sample day: P = 0.0005; Pooled SEM: Treatment = 0.1718, sample day = 0.1382, treatment × sample day = 0.2764 (log transformed).

https://doi.org/10.1371/journal.pone.0253754.g009

In a manner that is analogous to cellulose degradation, proteolytic microflora in the rumen produce extracellular enzymes that convert consumed dietary proteins into peptides and amino acids [77]. The free peptides and amino acids can then by utilized to make microbial protein or deaminated to ammonia, which can also be assimilated to meet microbial requirements [78]. However, when the rate of ammonia production exceeds the rate of assimilation, ammonia is absorbed into the blood and lost as urea in the urine. Many rumen bacteria are proteolytic, but excess ammonia production is primarily attributed to resident APB [79]. The APB guild includes both peptide- and amino acid-utilizing bacteria, but all species are characterized by having rapid rates of ammonia production and a limited or no ability to utilize sugars. Amino acid/peptide-fermenting bacteria bacteria have been isolated from the rumen and identified in cattle [49,80] and other ruminant species [81,82].

Unlike the enzymes required for fiber degradation, ruminants produce mammalian enzymes necessary for catabolizing and utilizing protein; therefore, protein degradationby rumen microflora is considered to be a source of nutritional inefficiency. Decades of research has demonstrated that MON and other ionophores can have an “amino acid-sparing” effects by inhibiting APB in the rumen [28,80], but these effects can be animal and diet dependent [83,84]. In the current experiment MON treatment inhibited peptide- and amino acid-utilizing bacteria in some cases with SARA challenge, but not consistently. In contrast, BCA treatment reduced both peptide- and amino acid-utilizing bacteria on all sample days. Despite differences observed with peptide- and amino acid-utilizing bacteria, gelatin-hydrolyzing bacteria were unaffected by treatment. The gelatin media liquification method is commonly used in microbiology. However, it captures only gelatin-hydrolyzing species and not necessarily those that can hydrolyze other proteins such as the zein, gluten and rubisco abundant in the study diets. Also, note that the enumeration methods utilized in the current experiment do not account for other microorganisms, such as ciliates, that might be contributing to nutrient fermentation in the rumen including protein. Nevertheless, the results of the current study support the long-standing hypothesis that proteolysis and amino acid-deamination are distinct metabolic steps and are carried out by distinct microbial groups in the rumen [77]. Overall, these results are consistent with 10-years of experiments that have demonstrated that the spectrum of BCA antimicrobial activity includes rumen APB [38,4043,85]. The current study is the first to show that amino acid- and peptide-fermenting bacteria are inhibited by the isoflavone in a high-starch diet.

Conclusions

There is no indication that isoflavones, like BCA, have ionophore-like mechanisms of action [38]. Ionophores act by depolarizing the cell membrane [26]. Many phytochemical phenolic compounds do in fact share an ionophore-like mechanism of action [86]. Instead, BCA potentiates the antimicrobial activity of bacteriocins and possibly other rumen-endogenous antimicrobials [40]. This mode of action is consistent with results that show isoflavones can interfere with multidrug efflux pumps in some bacterial species [87,88].

The difference in mechanism of antimicrobial action between BCA and ionophores leads to a different spectrum of activity that would be advantageous in more than one production setting. The current study indicates that BCA could ameliorate pH and microbial changes in the rumen associated with high-starch diet consumption. It is also beneficial that amino acid-catabolizing bacteria, such as APB, are inhibited. It has long been recognized that rumen ammonia production can be reduced to increase bypass amino-nitrogen without limiting ammonia or branched chain VFA to the fibrolytic bacteria that require them [89]. BCA has the additional benefit of more limited inhibition of the cellulolytic bacteria [42]. In multiple in vitro and in vivo experiments, BCA has promoted net fiber utilization [42,43; current results]. These results stand in contrast to commonly used ionophores, which can negatively impact animal growth on high-fiber, forage-based diets [69]. It is important to note that monensin has veterinary use beyond antimicrobial growth promotion (i.e., it functions as a coccidostat), which can be important in many circumstances. The promotion of fiber degradation by a rumen microbiota exposed to BCA makes this compound advantageous in both high-starch and high-fiber diets.

The current experiment was conducted with purified BCA, which is not currently economical. However, supplemented grazing experiments indicated that red clover hay contained enough BCA to decrease APB, promote ex vivo DMD and ADG in steers [43]. Isoflavones, including BCA, can be found in many legume species (red clover, white clover, alfalfa, etc.). However, both isoflavone concentrations and profiles can vary between species. For example, although both red clover and white clover have similar isoflavone profiles (predominantly biochanin A and formononetin), red clover contains 200× more total isoflavones than white clover [90]. Research has demonstrated that red clover contains the highest concentrations of biochanin A, but isoflavone concentrations can vary depending on maturity and cultivar [85,91]. A survey of biochanin A concentrations in 10 cultivars of red clover demonstrated that concentrations can range from 4,081 to 5,332 μg g−1 DM [91].

The effects of BCA as a highly selective antimicrobial in both high-starch and high-fiber diets indicate its potential utility in both backgrounding and finishing systems. Steers were only subjected to a short corn step-up challenge in the current experiment. Although, these results clearly demonstrate advantages of BCA supplementation in cattle transitioning from high-fiber to high-starch diets, further research is needed to evaluate the efficacy of BCA supplementation over a longer period (>100 d) more relative to standard finishing systems. These results also highlight the potential roles of legumes and legume-based supplements in hybrid background/finishing systems. These systems might include pasture finishing as well as feedlot housing that incorporates the advantages of forage.

Supporting information

S1 Fig. Effect of biochanin A on the viable number of gelatin-hydrolyzing bacteria in rumen fluid (4 h post-feeding).

Holstein steers (n = 12) were blocked by weight into 1 of 4 treatments: High fiber control (HF CON; basal diet control, corn silage + dried distillers’ grain, to meet protein requirements; n = 3), SARA control (SARA CON; n = 3), SARA + monensin treatment (MON CON; 200 mg d-1 monensin; n = 3), or SARA + biochanin A treatment (BCA; 6 g d-1 biochanin A; n = 3). Rumen fluid samples were taken at the end of the adaptation period (100% basal diet), high fiber period (100% basal diet + treatments), 60:40 SARA challenge period (60% basal diet + 40% cracked corn + treatments), and 30:70 SARA challenge period (30% basal diet + 70% cracked corn + treatments) for gelatin-hydrolyzing bacteria enumeration. The enumerations were performed in anaerobic liquid media with gelatin as the growth substrate. The tubes were incubated (39°C, 5 d), and the final dilution exhibiting growth (visual examination of gelatin hydrolysis after 1 h at 4°C) was recorded as the viable number. Means lacking a common English letter are different within sample day (P < 0.05). Means lacking a common Greek letter are different over sample days within treatment (P < 0.05). Treatment: P = 0.0023, sample day: P = 0.0031, and treatment × sample day: P = 0.1674; Pooled SEM: Treatment = 0.0680, sample day = 0.0970, treatment × sample day = 0.1939 (log transformed).

https://doi.org/10.1371/journal.pone.0253754.s001

(TIF)

Acknowledgments

The authors acknowledge the technical assistance of Tracy Hamilton and Gloria Gellin.

References

  1. 1. Hungate RE. The rumen and its microbes. Academic Press NY. 1966.
  2. 2. Britton R, Stock R, Cornell U. Acidosis: A continual problem in cattle fed high grain diets. In: Proc Cornell Nutr Conf Feed Manuf, Syracuse, NY. 1989; 8–15.
  3. 3. Owens FN, Secrist DS, Hill WJ, Gill DR. (1998). Acidosis in cattle: a review. J Anim Sci. 1998; 76(1):275–86. pmid:9464909
  4. 4. Krause KM, Oetzel GR. Understanding and preventing subacute ruminal acidosis in dairy herds: A review. Anim Feed Sci Tech. 2006; 126(3–4):215–36.
  5. 5. Nagaraja TG, Titgemeyer EC. Ruminal acidosis in beef cattle: the current microbiological and nutritional outlook. J Dairy Sci. 2007; 90:E17–38. pmid:17517750
  6. 6. Nagaraja TG, Galyean ML, Cole NA. Nutrition and disease. Vet Clin N Am: Food Anim Prac. 1998; 14(2):257–77. pmid:9704414
  7. 7. Bergman EN. Energy contributions of volatile fatty acids from the gastrointestinal tract in various species. Physiol Rev. 1990; 70(2):567–90. pmid:2181501
  8. 8. Shi Y, Weimer PJ. Response surface analysis of the effects of pH and dilution rate on Ruminococcus flavefaciens FD-1 in cellulose-fed continuous culture. Appl Environ Microbiol. 1992; 58(8):2583–91. pmid:1514805
  9. 9. Plaizier JC, Keunen JE, Walton JP, Duffield TF, McBride BW. Effect of subacute ruminal acidosis on in situ digestion of mixed hay in lactating dairy cows. Can J Anim Sci. 2001; 81(3):421–23.
  10. 10. Krajcarski-Hunt H, Plaizier JC, Walton JP, Spratt R, McBride BW. Effect of subacute ruminal acidosis on in situ fiber digestion in lactating dairy cows. J Dairy Sci. 2002; 85(3), 570–73. pmid:11949861
  11. 11. Nagaraja TG, Towne G. Ciliated protozoa in relation to ruminal acidosis and lactic acid metabolism. Ciliated protozoa in relation to ruminal acidosis and lactic acid metabolism. 1990; 187–94.
  12. 12. Braun U, Rihs T, Schefer U. Ruminal lactic acidosis in sheep and goats. Vet Rec. 1992; 130(16):343–49. pmid:1595174
  13. 13. Goad DW, Goad CL, Nagaraja TG. Ruminal microbial and fermentative changes associated with experimentally induced subacute acidosis in steers. J Anim Sci. 1998; 76(1):234–41. pmid:9464904
  14. 14. Gozho GN, Plaizier JC, Krause DO, Kennedy AD, Wittenberg KM. Subacute ruminal acidosis induces ruminal lipopolysaccharide endotoxin release and triggers an inflammatory response. J Dairy Sci. 2005; 88(4):1399–1403. pmid:15778308
  15. 15. Plaizier JC, Khafipour E, Li S, Gozho GN, Krause DO. Subacute ruminal acidosis (SARA), endotoxins and health consequences. Anim Feed Sci Tech. 2012; 172(1–2):9–21.
  16. 16. Zhao C, Liu G, Li X, Guan Y, Wang Y, Yuan X, et al. Inflammatory mechanism of rumenitis in dairy cows with subacute ruminal acidosis. BMC Vet Res. 2018; 14(1):135. pmid:29673406
  17. 17. Nagaraja TG, Avery TB, Bartley EE, Galitzer SJ, Dayton AD. Prevention of lactic acidosis in cattle by lasalocid or monensin. J Anim Sci. 1981; 53(1):206–16. pmid:7319937
  18. 18. Nagaraja TG, Avery TB, Bartley EE, Roof S, Dayton A. Effect of lasalocid, monensin or thiopeptin on lactic acidosis in cattle. J Anim Sci. 1982; 54(3):649–58. pmid:7085521
  19. 19. Nagaraja TG, Avery TB, Galitzer SJ, Harmon DL. Effect of ionophore antibiotics on experimentally induced lactic acidosis in cattle. Am J Vet Res. 1985; 46(12): 2444. pmid:4083576
  20. 20. Coe ML, Nagaraja TG, Sun YD, Wallace N, Towne EG, Kemp KE, et al. Effect of virginiamycin on ruminal fermentation in cattle during adaptation to a high concentrate diet and during an induced acidosis. J Anim Sci. 1999; 77(8):2259–68. pmid:10462007
  21. 21. Dennis SM, Nagaraja TG, Bartley EE. Effect of lasalocid or monensin on lactate-producing or using rumen bacteria. J Anim Sci. 1981; 52(2):418–26. pmid:7275867
  22. 22. Honeyfield DC, Carlson JR, Nocerini MR, Breeze RG. Duration of inhibition of 3-methylindole production by monensin. J Anim Sci. 1985; 60(1):226–31. pmid:3972743
  23. 23. Potter EL, Cooley CO, Richardson LF, Raun AP, Rathmacher RP. Effect monensin on performance of cattle forage. J Anim Sci. 1976; 43(3):665–69.
  24. 24. Raun AP, Cooley CO, Potter EL, Rathmacher RP, Richardson LF. Effect of monensin on feed efficiency of feedlot cattle. J Anim Sci. 1976; 43(3):670–77.
  25. 25. Wedegaertner TC, Johnson DE. Monensin effects on digestibility, methanogenesis and heat increment of a cracked corn-silage diet fed to steers. J Anim Sci. 1983; 57(1): 168–77. pmid:6885657
  26. 26. Russell JB, Strobel HJ. Effect of ionophores on ruminal fermentation. Appl Environ Microbiol. 1989; 55(1):1. pmid:2650616
  27. 27. Johnson KA, Johnson DE. Methane emissions from cattle. J Anim Sci. 1995; 73(8):2483–92. pmid:8567486
  28. 28. Yang CM, Russell JB. The effect of monensin supplementation on ruminal ammonia accumulation in vivo and the numbers of amino acid-fermenting bacteria. J Anim Sci. 1993; 71(12):3470–76. pmid:8294302
  29. 29. Krause DO, Russell JB. An rRNA approach for assessing the role of obligate amino acid-fermenting bacteria in ruminal amino acid deamination. Appl Environ Microbiol. 1996; 62(3):815–21. pmid:8975611
  30. 30. Callaway TR, De Melo AMC, Russell JB. The effect of nisin and monensin on ruminal fermentations in vitro. Curr Microbiol. 1997; 35(2):90–6. pmid:9216882
  31. 31. Wegener HC. Antibiotics in animal feed and their role in resistance development. Curr Opin Microbiol. 2003; 6(5):439–45. pmid:14572534
  32. 32. FDA. Veterinary feed directive. Fed Regist. 2015; 80:31708–35.
  33. 33. Centner TJ. Recent government regulations in the United States seek to ensure the effectiveness of antibiotics by limiting their agricultural use. Environ Intern. 2016; 94:1–7. pmid:27182666
  34. 34. Russell JB, Houlihan AJ. Ionophore resistance of ruminal bacteria and its potential impact on human health. FEMS Microbiol Rev. 2003; 27(1):65–74. pmid:12697342
  35. 35. Evans JD, Martin SA. Effects of thymol on ruminal microorganisms. Curr Microbiol. 2000; 41(5):336–40. pmid:11014870
  36. 36. Benchaar C, Petit HV, Berthiaume R, Whyte TD, Chouinard PY. Effects of addition of essential oils and monensin premix on digestion, ruminal fermentation, milk production, and milk composition in dairy cows. J Dairy Sci. 2006; 89(11):4352–64. pmid:17033023
  37. 37. Flythe MD. The antimicrobial effects of hops (Humulus lupulus L.) on ruminal hyper ammonia-producing bacteria. Lett Appl Microbiol. 2009; 48(6):712–17. pmid:19413813
  38. 38. Flythe M, Kagan I. Antimicrobial effect of red clover (Trifolium pratense) phenolic extract on the ruminal hyper ammonia-producing bacterium, Clostridium sticklandii. Curr Microbiol. 2010; 61(2):125–31. pmid:20087740
  39. 39. Harlow BE, Flythe MD, Aiken GE. Effect of biochanin A on corn grain (Zea mays) fermentation by bovine rumen amylolytic bacteria. J Appl Microbiol. 2017; 122(4):870–80. pmid:28055130
  40. 40. Flythe MD, Harrison B, Kagan IA, Klotz JL, Gellin GL, Goff B, et al. Antimicrobial activity of red clover (Trifolium pratense L.) extract on caprine hyper ammonia-producing bacteria. Agric Food Anal Bacteriol. 2013; 3:176–85.
  41. 41. Harlow BE, Flythe MD, Kagan IA, Aiken GE. Biochanin A (an isoflavone produced by red clover) promotes weight gain of steers grazed in mixed grass pastures and fed dried-distillers’ grains. Crop Sci. 2017; 57(1):506–14.
  42. 42. Harlow BE, Flythe MD, Aiken GE. Biochanin A improves fibre fermentation by cellulolytic bacteria. J Appl Microbiol. 2018; 124(1):58–66. pmid:29112792
  43. 43. Harlow BE, Flythe MD, Kagan IA, Goodman JP, Klotz JL, Aiken GE. Isoflavone supplementation, via red clover hay, alters the rumen microbial community and promotes weight gain of steers grazing mixed grass pastures. PLOS ONE. 2020; 15(3):e0229200. pmid:32168321
  44. 44. FASS. Guide for the care and use of agricultural animals in research and teaching. FASS Inc. Champaign, IL. 2010.
  45. 45. Goering HK, Van Soest PJ. Forage fiber analyses (apparatus, reagents, procedures, and some applications). USDA Agr Handb. 1970.
  46. 46. Technology ANKOM. 2005. Method 3: In vitro true digestibility using the ANKOM Daisy II incubator. ANKOM Technology, Macedon, NY.
  47. 47. Vanzant ES, Cochran RC, Titgemeyer E. Standardization of in situ techniques for ruminant feedstuff evaluation. J Anim Sci. 1998; 76:2712–29. pmid:9814914
  48. 48. Mantovani HC, Russell JB. Nisin resistance of Streptococcus bovis. Appl Environ Microbiol. 2001; 67(2):808–13. pmid:11157247
  49. 49. Harlow BE, Donley TM, Lawrence LM, Flythe MD. Effect of starch source (corn, oats or wheat) and concentration on fermentation by equine faecal microbiota in vitro. J Appl Microbiol. 2015; 119(5):1234–44. pmid:26255645
  50. 50. Harlow BE, Lawrence LM, Hayes SH, Crum A, Flythe MD. Effect of dietary starch source and concentration on equine fecal microbiota. PLOS ONE. 2016; 11(4): e0154037. pmid:27128793
  51. 51. Stack RJ, Hungate RE, Opsahl WP. Phenylacetic acid stimulation of cellulose digestion by Ruminococcus albus 8. Appl Environ Microbiol. 1983; 46(3):539–44. pmid:6639013
  52. 52. Russell JB, Strobel HJ, Chen GJ. Enrichment and isolation of a ruminal bacterium with a very high specific activity of ammonia production. Appl Environ Microbiol. 1988; 54(4):872–77. pmid:3377500
  53. 53. Littell RC, Milliken GA, Stroup WW, Wolfinger RD. SAS system for mixed models. SAS Inst., Inc. Cary, NC. 1996.
  54. 54. Russell JB, Rychlik JL. Factors that alter rumen microbial ecology. Science. 2001; 292(5519):1119–22. pmid:11352069
  55. 55. Lana RP, Russell JB, Van Amburgh ME. The role of pH in regulating ruminal methane and ammonia production. J Anim Sci. 1998; 76(8):2190–96. pmid:9734871
  56. 56. Russell JB. The importance of pH in the regulation of ruminal acetate to propionate ratio and methane production in vitro. J Dairy Sci. 81(12):3222–30. pmid:9891267
  57. 57. De Veth MJ, Kolver ES. Digestion of ryegrass pasture in response to change in pH in continuous culture. J Dairy Sci. 2001; 84(6):1449–57. pmid:11417705
  58. 58. Calsamiglia S, Ferret A, Devant M. Effects of pH and pH fluctuations on microbial fermentation and nutrient flow from a dual-flow continuous culture system. J Dairy Sci. 2002; 85(3):574–79. pmid:11949862
  59. 59. Yang WZ, Beauchemin KA, Vedres DD. Effects of pH and fibrolytic enzymes on digestibility, bacterial protein synthesis, and fermentation in continuous culture. Anim Feed Sci Tech. 2002; 102(1–4):137–50.
  60. 60. Wales WJ, Kolver ES, Thorne PL, Egan AR. Diurnal variation in ruminal pH on the digestibility of highly digestible perennial ryegrass during continuous culture fermentation. J Dairy Sci. 2004; 87(6):1864–71. pmid:15453503
  61. 61. Van Kessel JAS, Russell JB. The effect of pH on ruminal methanogenesis. FEMS Microbiol Ecol. 1996; 20(4):205–10.
  62. 62. Franklund CV, Glass TL. Glucose uptake by the cellulolytic ruminal anaerobe Bacteroides succinogenes. J Bacteriol. 1987; 169(2):500–6. pmid:3804970
  63. 63. Maas LK, Glass TL. Cellobiose uptake by the cellulolytic ruminal anaerobe Fibrobacter (Bacteroides) succinogenes. Canad J Microbiol. 1991; 37(2):141–47. pmid:2059920
  64. 64. Gallo BJ, Andreotti R, Roche C, Ryu D, Mandels M. Cellulase production by a new mutant strain of Trichoderma reesei MCG77. In Biotechnol Bioeng Symp. 1978; Army Natick Research and Development Command, MA (8).
  65. 65. Rajoka MI, Bashir A, Hussain SRS, Malik KA. γ-ray induced mutagenesis of Cellulomonas biazotea for improved production of cellulases. Folia Microbiol. 1998; 43(1):15–22.
  66. 66. Adsul MG, Bastawde KB, Varma AJ, Gokhale DV. Strain improvement of Penicillium janthinellum NCIM 1171 for increased cellulase production. Biores Technol. 2007; 98(7):1467–73. pmid:17097876
  67. 67. Das A, Paul T, Halder SK, Maity C, Mohapatra PKD, Pati BR, et al. Study on regulation of growth and biosynthesis of cellulolytic enzymes from newly isolated Aspergillus fumigatus ABK9. Polish J Microbiol. 2013; 62(1):31–43.
  68. 68. Stevenson DM, Weimer PJ. Dominance of Prevotella and low abundance of classical ruminal bacterial species in the bovine rumen revealed by relative quantification real-time PCR. Appl Microbiol Biotech. 2007; 75(1):165–74. pmid:17235560
  69. 69. Demain AL, Newcomb M, Wu JD. Cellulase, clostridia, and ethanol. Microbiol Mol Biol Rev. 2005; 69(1):124–54. pmid:15755956
  70. 70. Aiken GE, Brown MA. Steer responses to protein supplementation and lasalocid on bermudagrass pasture. Prof Anim Sci. 1996; 12(2):109–13.
  71. 71. Dennis SM, Nagaraja TG, Bartley EE. Effect of lasalocid or monensin on lactate-producing or using rumen bacteria. J Anim Sci. 1981; 52(2):418–26. pmid:7275867
  72. 72. Goodrich RD, Garrett JE, Gast DR, Kirick MA, Larson DA, Meiske JC. Influence of monensin on the performance of cattle. J Anim Sci. 1984; 58(6):1484–98. pmid:6378865
  73. 73. Galyean ML, Owens FN. Effects of monensin on growth, reproduction, and lactation in ruminants. ISI Atlas Sci-Anim Plant Sci. 1988; 1(1):71–5.
  74. 74. Nagaraja TG, Chengappa MM. Liver abscesses in feedlot cattle: a review. J Anim Sci. 1998; 76(1):287–98. pmid:9464910
  75. 75. Nagaraja TG, Lechtenberg KF. Acidosis in feedlot cattle. Vet Clin N Am: Food Anim Pract. 2007; 23(2):333–50.
  76. 76. Chow JM, Russell JB. Effect of ionophores and pH on growth of Streptococcus bovis in batch and continuous culture. Appl Environ Microbiol. 1990; 56(6):1588–93. pmid:2383003
  77. 77. El-Shazly K. Degradation of protein in the rumen of the sheep. 2. The action of rumen micro-organisms on amino-acids. Biochem J. 1952; 51(5):647–53. pmid:13018139
  78. 78. Bach A, Calsamiglia S, Stern MD. Nitrogen metabolism in the rumen. J Dairy Sci. 2005; 88:E9–E21. pmid:15876575
  79. 79. Rychlik JL, Russell JB. Mathematical estimations of hyper-ammonia producing ruminal bacteria and evidence for bacterial antagonism that decreases ruminal ammonia production. FEMS Microbiol Ecol. 2000; 32(2):121–28. pmid:10817865
  80. 80. Chen G, Russell JB. More monensin-sensitive, ammonia-producing bacteria from the rumen. Appl Environ Microbiol. 1989; 55(5):1052–57. pmid:2757371
  81. 81. Wallace RJ, McKain N, McEwan NR, Miyagawa E, Chaudhary LC, King TP, et al. 2003. Eubacterium pyruvativorans sp. nov., a novel non-saccharolytic anaerobe from the rumen that ferments pyruvate and amino acids, forms caproate and utilizes acetate and propionate. J Med Microbiol. 2003; 53(4):965–70. pmid:12892112
  82. 82. Flythe MD, Andries K. The effects of monensin on amino acid catabolizing bacteria isolated from the Boer goat rumen. Small Rumin Res. 2009; 81(2–3):178–81.
  83. 83. Horn GW, Mader TL, Armbruster SL, Frahm RR. Effect of monensin on ruminal fermentation, forage intake and weight gains of wheat pasture stocker cattle. J Anim Sci. 1981; 52(3):447–54. pmid:7263521
  84. 84. Beever DE, Losada HR, Gale DL, Spooner MC, Dhanoa MS. The use of monensin or formaldehyde to control the digestion of the nitrogenous constituents of perennial ryegrass (Lolium perenne cv. Melle) and white clover (Trifolium repens cv. Blanca) in the rumen of cattle. Brit J Nutr. 1987; 57(1):57–67. pmid:3801385
  85. 85. Kagan IA, Goff BM, Flythe MD. Soluble phenolic compounds in different cultivars of red clover and alfalfa, and their implication for protection against proteolysis and ammonia production in ruminants. Nat Prod Commun. 2015; 10(7):1934578X1501000732.
  86. 86. Flythe MD, Kagan IA, Wang Y, Narvaez N. Hops (Humulus lupulus L.) bitter acids: modulation of rumen fermentation and potential as an alternative growth promoter. Front Vet Sci.2017; 4:131. pmid:28871284
  87. 87. Lechner D, Gibbons S, Bucar F. Plant phenolic compounds as ethidium bromide efflux inhibitors in Mycobacterium smegmatis. J Antimicro Chemo. 2008; 62(2):345–48. pmid:18430720
  88. 88. Liu G, Liang JC, Wang XL, Li ZH, Wang W, Guo N, et al. In vitro synergy of biochanin A and ciprofloxacin against clinical isolates of Staphylococcus aureus. Mol. 2011; 16(8):6656–66. pmid:25134769
  89. 89. Satter LD, Slyter LL. Effect of ammonia concentration on rumen microbial protein production in vitro. Brit J Nutr. 1974; 32(2):199–208. pmid:4472574
  90. 90. Saloniemi H, Wähälä K, Nykänen-Kurki P, Kallela K, Saastamoinen I. Phytoestrogen content and estrogenic effect of legume fodder. Proc Soc Exp Biol Med. 1995; 208(1):13–7. pmid:7892287
  91. 91. Sivesind E, Seguin P. Effects of the environment, cultivar, maturity, and preservation method on red clover isoflavone concentration. J Agric Food Chem. 2005; 53:6397–6402. pmid:16076124