Skip to main content

Effects of brewers’ spent grain protein hydrolysates on gas production, ruminal fermentation characteristics, microbial protein synthesis and microbial community in an artificial rumen fed a high grain diet



Brewers’ spent grain (BSG) typically contains 20% – 29% crude protein (CP) with high concentrations of glutamine, proline and hydrophobic and non-polar amino acid, making it an ideal material for producing value-added products like bioactive peptides which have antioxidant properties. For this study, protein was extracted from BSG, hydrolyzed with 1% alcalase and flavourzyme, with the generated protein hydrolysates (AlcH and FlaH) showing antioxidant activities. This study evaluated the effects of AlcH and FlaH on gas production, ruminal fermentation characteristics, nutrient disappearance, microbial protein synthesis and microbial community using an artificial rumen system (RUSITEC) fed a high-grain diet.


As compared to the control of grain only, supplementation of FlaH decreased (P < 0.01) disappearances of dry matter (DM), organic matter (OM), CP and starch, without affecting fibre disappearances; while AlcH had no effect on nutrient disappearance. Neither AlcH nor FlaH affected gas production or VFA profiles, however they increased (P < 0.01) NH3-N and decreased (P < 0.01) H2 production. Supplementation of FlaH decreased (P < 0.01) the percentage of CH4 in total gas and dissolved-CH4 (dCH4) in dissolved gas. Addition of monensin reduced (P < 0.01) disappearance of nutrients, improved fermentation efficiency and reduced CH4 and H2 emissions. Total microbial nitrogen production was decreased (P < 0.05) but the proportion of feed particle associated (FPA) bacteria was increased with FlaH and monensin supplementation. Numbers of OTUs and Shannon diversity indices of FPA microbial community were unaffected by AlcH and FlaH; whereas both indices were reduced (P < 0.05) by monensin. Taxonomic analysis revealed no effect of AlcH and FlaH on the relative abundance (RA) of bacteria at phylum level, whereas monensin reduced (P < 0.05) the RA of Firmicutes and Bacteroidetes and enhanced Proteobacteria. Supplementation of FlaH enhanced (P < 0.05) the RA of genus Prevotella, reduced Selenomonas, Shuttleworthia, Bifidobacterium and Dialister as compared to control; monensin reduced (P < 0.05) RA of genus Prevotella but enhaced Succinivibrio.


The supplementation of FlaH in high-grain diets may potentially protect CP and starch from ruminal degradation, without adversely affecting fibre degradation and VFA profiles. It also showed promising effects on reducing CH4 production by suppressing H2 production. Protein enzymatic hydrolysates from BSG using flavourzyme showed potential application to high value-added bio-products.


Brewers’ spent grain (BSG) is the most abundant by-product in brewing industry, accounting for 85% of the total by-products generated [1]. Currently, the main application of BSG is as animal feed, especially for ruminants, as it contains up to 29% crude protein (CP) and up to 60% fiber on dry matter (DM) basis [2]. Low level inclusion of wet BSG in conventional finishing diets can maintain growth performance and meat quality of finishing beef cattle compared with conventional finishing diets [3]. However, there are some potential disadvantages when including BSG in high amounts in ruminant diets, such as reducing feed intake and increasing the incidence of liver abscesses [4], increasing the release of enteric pathogenic bacteria E. coli O157:H7 [5, 6] and increased excretion of N, P and S to the environment [7]. Furthermore, the utilization of BSG in animal production has been limited due to its high moisture and fermentable sugar contents, which make it unstable and easily spoiled due to enhanced microbial activity [1, 2]. As a result, its use to date has generally been limited to animal operations near breweries due to high energy costs of transportation [1]. Although drying is considered the most effective method for lowering storage and transportation costs, drying itself is an energetically expensive process [1, 8]. Therefore, due to the high yield but limited usage of BSG, there is an urgent need for developing new strategies to increase the feasibility of utilizing BSG in cattle production systems.

Nowadays, there is increasing interest in the study of by-products from the food processing industry as feed ingredients for animal production and also for extraction of value-added bioactive compounds, which can possibly be used as natural antimicrobials or antioxidants [9]. Barley is the primary grain source used in the brewing industry with the derived BSG being rich in phenolic compounds and hordein and glutelin proteins. Emerging evidence indicates that phenolic compounds in diet exhibit anti-inflammatory and antioxidant properties [8, 10]. The unique structural features of barley proteins coupled with high concentrations of glutamine and hydrophobic and non-polar residues, offer the possibility of producing bioactive peptides with strong antioxidant and antimicrobial properties upon proteolytic degradation using commercially available proteinase or alkali solutions [11, 12]. Bioactive peptides have a broad range of functions: antibacterial, anti-inflammatory, antioxidant and immune function enhancing. Both glutelin and hordein protein hydrolysates have been proven to having antioxidant activities [11, 13]. Protein hydrolysates produced from BSG not only exert antioxidant activity under conventional chemical assay but also exert antioxidant and immunomodulatory effects to cell lines (U937, Jurkat T cell, Caco-2 and HepG2) under oxidative stress in vitro [12, 14]. Consequently, a low cost, readily available BSG would make for an ideal material for the production of bioactive compounds. Furthermore, our previous study proved that the BSG residue resulting from protease-aided protein removal can be potentially used as a viable fibre source for ruminant feeding [15], thus increasing the by-product value.

Antibiotics, widely used in the north American beef industry, are of growing concern for consumers because of potential antibiotic residue accumulation in animal products and the increasing risk of antimicrobial resistance which will thus limit their future use as growth promotants in cattle feed. As a result, alternatives to in-feed antibiotics, using natural sourced materials, have been an area of significant research in recent years. Protein hydrolysates of various origins, including animal or agriculture production by-products, have been reported to possess antimicrobial activity [16,17,18], and have the potential to be used as alternatives to antibiotics. Protein hydrolysates of BSG have been reported to possess antibacterial activity towards Escherichia coli O157:H7 [19] and Staphylococcus aureus [20]. In an in vitro screening study, the hydrolysates derived from BSG protein decreased feed degradability with the response varying with type of proteases used in hydrolysates separation, hydrolysate dose rate and type of feed incubated [21]. The authors hypothesized that inclusion of BSG protein hydrolysates may exert antimicrobial activity in rumen environment and that protein hydrolysates of BSG could be used as functional feed additives to substitute antibiotics in ruminant diets. The objective of this study was to determine if BSG protein hydrolysates prepared with two different proteolytic enzymes (alcalase and flavourzyme) had the ability to improve nutrient disappearance and rumen fermentation, reduce methane production and alter the microbial community compared with monensin in rumen simulation technique (RUSITEC) fed a high-grain diet.


Preparation of BSG protein hydrolysates

The BSG protein hydrolysates used in the current study were prepared following alkali extraction, acid precipitation and enzyme hydrolysis as previously reported [11, 13]. In brief, BSG was milled through a 0.5-mm screen (Wiley Mill; standard model 4; Arthur Thomas Co., Philadelphia, PA, USA) solubilized in 0.1 mol/L NaOH at 20% (w/v) rate, followed by continuous stirring at 350 r/min at 50 °C for 2 h for protein extraction. The supernatant was then collected by centrifuging at 8000×g for 15 min at 20 °C, passed through an ultrafiltration membrane to obtain the protein fraction > 1 kDa which was further precipitated by acid (adjusting pH to 3.5), centrifuged at 8000×g for 15 min at 20 °C and then freeze dried. The obtained protein was dispersed in deionized water to reach a 5% (w/v) solution, hydrolyzed by 1% alcalase and flavourzyme at their optimum pH and temperatures (pH 8.0, 55 °C and pH 6.6, 50 °C, respectively). At the end of hydrolysis, all of the hydrolysate solutions were adjusted to pH 7.0, heated at 95 °C for 5 min to deactivate the enzyme and centrifuged at 8000×g for 30 min to separate the solubilized peptides and amino acids from the non-soluble substrates. The obtained hydrolysates with alcalase and flavourzyme were referred to AlcH and FlaH, respectively. The protein content and sample degree of protein hydrolysis were determined as described [11, 13] and results were shown in Table 1. The antioxidant properties, including 1,1-diphenyl-2-picryl hydrazyl (DPPH) free radical scavenging activity, ferrous ion chelating activity and reducing power were measured using chemical methods (Supplemental material S1).

Table 1 Solubility and degree of hydrolysis of brewers’ spent grain (BSG) protein hydrolysates generated using alcalase and flavourzyme

Experimental design and treatments

The experiment was a completely randomized design with four treatments assigned to sixteen fermentation vessels in two units of RUSITEC apparatus. Treatments were: 1) basal diet without hydrolysates or antibiotics (Control), 2) basal diet + 1% AlcH (AlcH), 3) basal diet + 1% FlaH (FlaH), and 4) basal diet + 33 mg monensin + 11 mg tylosin/kg diet DM (positive control; ANT). The basal diet contained 10% barley silage, 87% dry-rolled barley grain, and 3% vitamin and mineral supplement (DM basis; Table 2), The diet was prepared as total mixed ration, and grounded through a 4-mm sieve (Arthur Thomas Co., Philadelphia, PA, USA). Approximately 10 g (DM) of diet was weighed into nylon bags (10 cm × 20 cm; pore size of 50 μm, Ankom Technology Corp., Macedon, NY, USA). The protein hydrolysates and antibiotics were added to bags at the desired amount (DM basis) and manually mixed. The experiment was 15 d in duration, with 8 d for adaptation followed by 7 d for sampling and data collection.

Table 2 Ingredient and chemical composition of experimental diets

Inoculum donor

Three ruminally fistulated Aberdeen Angus cross cows (average, 768 ± 95.1 kg BW) offered a high grain diet containing 8.2% barley silage, 89.2% dry rolled barley grain, and 2.6% vitamin and mineral supplement (DM basis) were used as rumen inoculum donor. Two hours after morning feeding, solid and liquid contents were collected from four locations within the rumen of each cow via rumen cannula. The contents were immediately filtered through four layers of cheesecloth, pooled (4 L per cow) and pH recorded before adding into the fermenters. The experimental protocols were reviewed and approved by the Lethbridge Research and Development Centre Animal Care Committee and the cows were handled in accordance with the guidelines of the Canadian Council on Animal Care [22].

Experimental procedure

The RUSITEC procedure was carried out using two units of RUSITEC apparatus, equipped with eight 920-mL anaerobic fermenters of each unit, as described previously [23, 24]. In brief, to initiate the fermentation each fermenter was filled with 200 mL of McDougall’s buffer [25] and 700 mL of prepared rumen inoculum. Then, one bag containing 20 g of prepared solid rumen digesta and one bag containing 10 g of experimental diet (DM basis) were placed in each fermenter at 09:00 h on d 0. Fermenters were placed in a circulating water bath at 39 °C for the duration of the incubation period. After 24 h of incubation, the bag containing solid rumen digesta was replaced with a bag containing experimental diet. Thereafter, a feed bag was replaced daily, so that each bag remained in each fermenter for 48 h. During the daily feed-bag exchange, the fermenter was flushed with N2 gas to maintain anaerobic condition in the fermenters. The artificial saliva was continuously infused into fermenters using a peristaltic pump (Model ISM 932D, Ismatec, Index Health and science GmbH, Wertheim, Germany) at a dilution rate of 2.9%/h. Effluent and fermentation gasses from each fermenter were collected, respectively, into a 2-L Erlenmeyer flask and a reusable 2-L gas-tight collection bag (CurityR; Conviden Ltd., Mansfield, MA, USA) and the volume recorded at the feed bag exchange.

Nutrient disappearance

Disappearance of DM, OM, CP, acid detergent fiber (ADF), neutral detergent fiber (NDF) and starch was measured with 48-h incubated feed bags from d 9 to 13 of the sampling period. Bags were withdrawn from fermenters and washed manually under running cold water until the water was clear and dried at 55 °C for 48 h (AOAC, 2005; method 930.15) to determine DM disappearance. Thereafter, the bag residues were pooled over 5 d by fermenter and ground through a 1-mm sieve for DM, OM, NDF and ADF analysis. A portion of ground sample was further ground using a ball mill (Mixer Mill MM2000; Retsch, Haan, Germany) for total N and starch analysis. Disappearance of DM, OM, CP, NDF, ADF and starch was calculated as the differences between the amount of input and the amount remaining of each nutrient in the residues.

Gas production and dissolved gases

Fermentation gasses were measured every 24 h using a gas meter (Model DM3A, Alexander-Wright, London, England, UK) from d 9 to 15 of the sampling period. A sample (20 mL) was obtained from each bag once daily for determining gas profiles. On d 14 and 15, fermentation liquid was sampled in duplicate (35 mL each) from each fermenter to determine the concentration of dissolved H2 (dH2) and dissolved CH4 (dCH4). The sampling procedure was carried out using two syringes as reported [26]. In brief, a 50-mL syringe containing 35 mL of fermentation liquids was connected to a 20-mL syringe filled with 5 mL of N2. The N2 was injected from the small syringe into the large syringe via a T tube and valve and the apparatus was vigorously shaken by hand. The entire gas phase was then transferred from the large syringe into the small one to determine the gas volume. Finally, the small syringe was removed from the T tube and 6 mL of gas was sampled for both gas and dissolved gas analyses using a Varian 4900 Gas Chromatograph (Agilent Technologies Canada Inc., Mississauga, ON, Canada).

Fermentation parameters

The pH of fermentation fluid of each fermenter was measured daily using a pH meter (Orion model 260A, Fisher Scientific, Toronto, ON, Canada) at the time of feed-bag exchange. From d 9 to 13 of sampling period, effluent (5 mL) was sampled and preserved with 1 mL of 25% metaphosphoric acid for VFA analysis, with another 5 mL of effluent preserved with 1 mL of H2SO4 (1% vol/vol) for NH3-N analysis. All samples were well mixed and frozen at − 20 °C until analyzed. The production (mmol/d) of total VFA, individual VFA and NH3-N were determined based on daily effluent volume.

Microbial protein synthesis

Bacteria in the fermenters were labeled using 15N. From d 7 to 15, 0.3 g/L (NH4)2SO4 in McDougall’s buffer was replaced with 0.3 g/L 15N-enriched (NH4)2SO4 (Sigma Chemical Co., St. Louis, MO, USA; minimum 15N enrichment 10.01 atom%). From d 9 to 15, the effluent was preserved by adding 3 mL of a sodium azide solution (20%; wt/vol) to each effluent flask. On d 14 and 15, daily volume of effluent from each fermenter was recorded and 35 mL was sampled and centrifuged at 20,000×g, 4 °C for 30 min to isolate liquid-associated bacteria (LAB). The obtained pellets were washed with deionized water and centrifuged three times (20,000×g, 30 min, 4 °C), suspended in distilled water, freezing and lyophilisation for determination of N and 15N.

Feed particle-associated (FPA) and feed particle-bound (FPB) bacterial fractions were measured from 48-h feed residues. After 48-h of incubation, feed bags were squeezed to expel excess liquids, placed individually in a plastic bag with 20 mL of McDougall’s buffer and processed for 1 min using a Stomacher 400 Laboratory Blender (Seward Medical Ltd., London, UK). Then, the liquid from each feed bag was squeezed into a 50-mL centrifuge tube, the feed residues were washed twice with 10 mL of McDougall’s buffer in each wash, and the washed buffer pooled with the squeezed liquid to obtain the FPA bacterial fraction. The washed feed residues were considered as the FPB bacterial fraction. The obtained FPA samples were centrifuged at 500×g, 4 °C for 10 min to remove large feed particles, the supernatant centrifuged (20,000×g, 30 min, 4 °C) to isolate bacterial pellets and further processed as described previously. Washed feed residues (FPB fraction) were dried at 55 °C for 48 h, weighed for DM determination, and ball ground (MM400; Retsch Inc., Newtown, PA, USA) for N and 15N analysis. Total microbial protein synthesis was estimated as the sum of LAB, FPA and FPB.

Microbial community

The microbial communities of FPA samples were assessed through high-throughput sequencing. Total DNA was extracted from FPA samples (30 mg) using a QIAamp Fast DNA stool mini kit (Qiagen, Hilden, Germany), according to the manufacturer’s instructions. The quality and quantity of extracted DNA was measured using a NanoDrop spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA), then the extracted DNA was stored at − 20 °C until sequencing. The V4 hypervariable region of the archaeal and bacterial 16S rRNA gene was amplified using the modified 515-F and 806-R primers, with the PCR conditions and sequencing steps carried out as previously described by [27]. Briefly, the 16S rRNA gene amplicons were generated using a two-step PCR, and then the amplicons were subjected to Illumina paired-end library preparation, cluster generation, and sequenced on an Illumina MiSeq instrument (Illumina, Inc., San Diego, CA, USA).

The obtained 16S rRNA gene sequencing raw data were processed using QIME2 [28] and the R-package DADA2 (Version 1.4) denoise method as described. In brief, after removing primer sequences and truncating both the forward and reverse reads at 225 bp, quality control was done for the reads using the QIME2, with chimeric sequences identified and removed. Then, the richness (number of OTUs) and diversity (Shannon index) were calculated and non-metric multidimensional scaling (NMDS) was performed based on Bray-Curtis similarity distances using R packages vegan (Version 2.4.4; [29]) and phyloseq (Version 1.20.0; [30]). Fold change of ruminal bacterial at genus level with a threshold of 5% was analyzed using R-package Deseq2 [31].

Chemical analysis

The chemical analysis of the feeds and feed residues were conducted in duplicate, and repeated when the CV for the replicate analysis was more than 5%. Analytical DM was measured by oven drying at 135 °C for 2 h (AOAC, 2005; method 930.15) [32] and ash content was determined by combustion of samples at 550 °C for 5 h (AOAC, 2005; method 942.05), with OM content calculated as the difference between 100 and the ash content. The concentration of NDF (ash-free) was determined using a VELP Fiber Digestion System (VELP Scientifica, Burlington, ON, Canada) using the method of Van Soest et al. [33], with heat stable α-amylase (Termamyl 120 L, Novo Nordisk Biochem, Franklinton, NC, USA) and sodium sulfite included; while ADF was determined according to AOAC (2005; method 973.18). Total N of feed and residue samples and 15N of LAB, FPA and FPB samples were analyzed using combustion analyzer (NA 2100, Carlo Erba Instruments, Milan, Italy), with CP calculated as total N × 6.25. Starch was determined by enzymatic hydrolysis of α-linked glucose polymers as reported previously [34]. Concentration of VFA and NH3-N in the effluent was determined using a gas chromatograph (model 5890, Hewlett-Packard Lab, Palo Alto, CA, USA).

Statistical analysis

Data were analyzed in a completely randomized design using the MIXED procedure of SAS (Version 16.0.0, SAS Inst. Inc., Cary, NC, USA), with treatment considered as a fixed effect, day of sampling as repeated measures, and the fermenter and RUSITEC apparatus as random effects. For the repeated measures, various covariance structures were tested with the final structure chosen based on the lowest Akaike’s information criteria value. Results are reported as least squares means, which were compared using the Tukey correction for multiple comparisons. Significance among treatments was declared at P ≤ 0.05 and a trend at 0.05 < P ≤ 0.10 unless otherwise stated.

Results & discussion

BSG protein hydrolysates of AlcH and FlaH

The protein content of BSG protein extract was 70%, which was much higher than that of the original BSG substrate (31.7%; Table 1). The present value was comparable to a recent study that utilized a combination of enzyme and ultrasonication extraction, resulting in 69.8% of BSG protein content [35]; whereas, it was greater than BSG pre-treated with carbohydrases followed by direct hydrolysis using proteolytic enzymes (63.1%) [36]. The degree of hydrolysis (DH) of the BSG protein was higher (P < 0.01) when treated with alcalase (34.7%) than with flavourzyme (11.9%), with both protein hydrolysates showing high solubility in water. The DH expresses the number of peptide bonds cleaved as a percentage of total number of peptide bonds in the substrate, with the higher DH expected to have lower molecular weight peptides and vice versa. Enzymatic hydrolysis is gaining importance in producing protein hydrolysates due to its high yield and products with more consistent quality under controllable hydrolysis conditions [17]. Alcalase and flavourzyme are commercially available enzymes that have been widely studied for generating bioactive peptides of various protein origin [11, 37]. Bamdad et al. [11] showed antioxidant activities of barley hordein and glutelin enzymatic hydrolysates generated with flavourzyme and alcalase. In the current study, BSG protein hydrolysates FlaH and AlcH had DPPH (1,1-diphenyl-2-picryl hydrazyl) free radical scavenging activity, Fe2+-chelating ability and superoxide radical scavenging capacity (Supplemental material S1). The peptides high in hydrophobic and non-polar amino acid residues were most likely responsible for the antioxidant effects [11, 13]. As the hydrophobic and non-polar amino acids mostly remain in BSG after the brewing process [11], it was hypothesized that the BSG hydrolysates may have beneficial effects in rumen feeds based on their antioxidant activities.

Effects of AlcH, FlaH and ANT on nutrient disappearance and fermentation characteristics

Supplementation of FlaH reduced (P < 0.01) the disappearance of DM, OM, CP and starch compared to the control and AlcH, which in turn did not differ (Table 3). The reduction of DM disappearance by FlaH is consistent with the results obtained in our previous study using batch culture technique [21]. It that study we reported that the DM disappearance of barley grain linearly decreased from 78% to 67% as the inclusion rate of FlaH increased from 0, 0.5%, 1.0% to 1.5%. The reduction in the disappearances of DM and OM by FlaH primarily resulted from the decreased CP and starch, suggesting antimicrobial activity of protein hydrolysates. However, it appeared that the effect of AlcH and FlaH on the nutrient disappearances was not associated with their antioxidant activities and degree of hydrolysis measured in the present study. In fact, the increased DPPH scavenging or Fe-chelating activity appeared to adversely affect nutrient disappearance as observed with FlaH. It would be expected that the nutrient disappearance with AlcH would be less than that with FlaH because of the greater DPPH scavenging or Fe-chelating activity of AlcH than FlaH. These results suggest that the hydrolysate with chemically determined antioxidant activity may have different responses under rumen fermentation conditions. Furthermore, the fermentation in the RUSITEC system would have less oxidative stress compared with in vivo where oxygen can frequently enter the rumen with feeds and rumination. It also speculated that the hydrolysates may have more antimicrobial than antioxidant activity in the fermentation. Different bioactivities of AlcH and FlaH in rumen fermentation would be expected given that the activity of protein hydrolysates depends on the specificity of the protease used, hydrolysis conditions and degree of hydrolysis [13]. The flavourzyme is an endo- and exopeptidase enzyme mixture mainly producing small peptides and free amino acids, while the alcalase is an endo-protease mainly generating small- and medium-sized peptides [13]. Furthermore, about 6% of CP in the total protein input was hydrolysate origin as a result of adding FlaH, the decreased CP disappearance with FlaH could be due to the resistance of hydrolysate to microbial degradation. The resistance is related to the amino acid sequences and structures, especially peptides with Gly-Gly, Pro-X or X-Pro residues at the N-terminus, or with modification of N-terminal amino groups [38, 39]. Thus, it is hypothesized that FlaH generated by flavourzyme is more resistant to rumen microbial digestion and possesses strong bioactivity in modulating rumen fermentation including reducing the activity of proteolytic and starch utilization microbes. The disappearance of NDF and ADF were not affected by supplementation of either AlcH or FlaH, suggesting that both protein hydrolysates had limited effect on the activity of fibrolytic microbes.

Table 3 Effect of brewers’ spent grain (BSG) protein hydrolysates or antibiotics on nutrient disappearances and fermentation characteristics in RUSITEC

The pH in the fermenters remained constant throughout the whole experimental period, with higher (P < 0.01) pH with ANT than other treatments (average, 5.76; Table 3). Production of total VFA (mmol/d) and individual VFA molar proportion as well as acetate to propionate ratio were not affected with AlcH or FlaH supplementation except for a lower (P < 0.01) proportion of butyrate with FlaH compared to the control and AlcH. The similar VFA production is consistent with the biologically minor difference in OM disappearance despite of statistical difference between FlaH and control or AlcH. A higher proportion of propionate than acetate (+ 25%) was observed for all treatments, thus the ratio of acetate to propionate was below 1 (ranging from 0.69 to 0.80). The low ratio of acetate to propionate (< 1) would not be observed in vivo normal rumen condition, however it may in vitro. Russell [40] conducted an in vitro study to evaluate the effect of fermentation pH on acetate to propionate ratio and observed that the ratio for cracked corn incubations decreased from 1.2 to 0.6 when the final pH decreased from 6.5 to 5.3, thus indicating a reducing effect of low pH. Supplementation of AlcH and FlaH had higher (P < 0.01) NH3-N production than control. The higher NH3-N production with FlaH was unexpected due to the decreased CP disappearance by FlaH. This may reflective of their provision of a certain amount of peptides and free amino acid to fulfil partial nitrogen requirements of ruminal microbes. It has been reported that ruminal microbes prefer to utilize peptides or amino acids as a source of nitrogen or as a source of energy, thus leading to an accumulation of NH3-N [41]. It is speculated that the supplementation of AlcH and FlaH can promote the deaminative activity of high ammonia-producing bacteria. Ammonia is mainly produced by the low activity species but proliferation of the high ammonia producing bacteria can occur if certain diets were fed [38]. It has been reported that a variety of ruminal bacteria produce ammonia from protein hydrolysates, with strains of Bacteroides ruminicola, Megasphaera elsdenii, and Selenomonas ruminantium being the most active [42].

The supplementation of antibiotics (P < 0.01) decreased disappearance of DM, OM, CP, NDF, ADF and starch compared with the other treatments. Additionally, lower (P < 0.01) total VFA and higher (P < 0.01) fermenter pH was observed in the ANT treatment. Furthermore, ANT altered the individual VFA proportion compared to the other treatments, with lower (P < 0.01) molar proportion of acetate, butyrate, BCVFA and caproate, and higher (P < 0.01) molar proportion of propionate and valerate, thus led to lower (P < 0.01) acetate to propionate ratio. The supplementation of monensin and tylosin in the ANT treatment reduced (P < 0.01) the production of NH3-N compared to the other treatments, which was in alignment with previous reports that ionophores could decrease its production by suppressing the high NH3-N, producing microbial population, as well as the peptidelytic and deaminative activity of the bacteria that grow in the presence of ionophores [43]. Although FlaH had similar effects on reducing CP and starch disappearance to ANT, fibre disappearance and fermentation pattern were not affected. It is likely that mode of action in the rumen is different between monensin and FlaH. And the addition of FlaH protects protein and starch from rumen fermentation, facilitating more protein entering the small intestine for digestion and may alleviate risk of rumen acidosis.

Effects of AlcH, FlaH and ANT on gas and dissolved gas production

During fermentation H2 is produced during the oxidation reduction of electrons by membrane-bound hydrogenases of H2 generating rumen microbes. This plays an important role in maintaining the oxidation-reduction homeostasis to guarantee rumen anaerobic fermentation [44]. However, the activity of membrane-bound hydrogenase will be inhibited under high H2 pressure conditions in the rumen. Whilst the methanogenic Archaea can efficiently use H2 to reduce CO2 to keep a low ruminal H2 pressure, they also producing enteric CH4 [45]. Therefore, either reducing the production of H2 or finding alternative sinks for H2 may reduce CH4 emissions. It is now clear that ionophore antibiotics, like monensin, can decrease CH4 production via inhibition of growth of H2 producing bacteria without causing side effects to succinate- and propionate-producing bacteria [43]. In the current study, the fermentation liquid and gases were analyzed to determine dissolved gas (dH2 and dCH4) and gas (H2 and CH4) production, respectively. Production of dissolved gas, total gas (L/d) and dH2 were not affected by treatment, whereas the production of dCH4 (% of dGas, mg/d or mg/g digested DM), and CH4 (% of gas) were lower (P < 0.01) with FlaH than with the control and AlcH which in turn did not differ (Table 4). Supplementation of either AlcH or FlaH decreased (P < 0.01) the production of H2 expressed as μg/d or μg/g digested DM. The ANT treatment had consistently lower (P < 0.05) production of CH4, H2 and dCH4 compared with the other treatments. The reduced production of H2 by adding FlaH (− 49%) is of interest and is consistent with the decrease in dCH4 production and the proportion of CH4 in the total gas. However, the molar proportion of propionate was unchanged by adding FlaH despite the decreased CH4 and H2. This may be explained by the decrease in OM disappearance with FlaH potentially unable to produce sufficient H2 to increase propionate production. These results suggest that the FlaH may be an effective means to mitigate enteric methane production arising from ruminal fermentation. The rationale for decreased production of H2 with AlcH without altering the production of CH4 and propionate however is unclear. The present results confirmed the effect of monensin on reducing CH4 and H2 production and increasing propionate production which has been observed in previous studies [43]. Although the FlaH treatment showed reduction of CH4 and H2 as well as the reduction in nutrient disappearance, the magnitude of the reduction was much less than the ANT treatment, and FlaH did not increase propionate production or alter fermentation patterns. Therefore, it suggests lower activity of FlaH than the monensin in the ANT treatment and different mode of action between the two additives. Future work also needs to be carried out to determine relationships between their physicochemical and techno-functional properties.

Table 4 Effects of brewers’ spent grain (BSG) protein hydrolysates or antibiotics on gas and dissolved gas production in RUSITEC

Effects of AlcH, FlaH and ANT on microbial protein synthesis and microbial community

Production of total microbial N (LAB + FPB + FPA) and LAB was less (P < 0.05) with FlaH than the control and AlcH treatments, whereas the production of FPA was higher (P < 0.01) with AlcH and FlaH with no difference in FPB among treatments (Table 5). The ANT treatment produced higher (P < 0.01) FPA but less LAB and total microbial N compared to the control and AlcH which were similar to FlaH except for LAB, which was less (P < 0.01) than ANT. Microbial N production efficiency did not differ among treatments. Although the total microbial N production was reduced with FlaH and ANT, the proportion of attached microbial biomass (FPA + FPB) in the total biomass was higher for these treatments (FlaH 30.1% and ANT 34.4%) than control (24.4%). Our results suggested that adding FlaH or ANT provides benefits for microbial colonization of feed particles. The supplementation of AlcH and FlaH to the basal diet increased the microbial population in the FPA fraction, which was interesting as microbial attachment is essential to process of feed digestion. Thus, the FPA samples were selected for high-throughput sequencing to assess the microbial community. Neither numbers of OTUs (Fig. 1a) nor Shannon diversity indices (Fig. 1b) of FPA microbial community were affected by supplementing AlcH and FlaH, whereas both indices were reduced (P < 0.05) by ANT. Similarly, the results of the NMDS analysis indicated that there was no specific clustering of the FPA microbial community in the control, FlaH or AlcH treatments, however the ANT treatment had a more independently clustered community structure (Fig. 2). Notwithstanding, the effects of BSG protein hydrolysates on ruminal microbiome are not fully understood. Meanwhile, our results revealed that monensin greatly reduced the diversity of FPA microbial community were in agreement with previous in vitro [46] and in vivo [47, 48] studies.

Table 5 Effect of brewers’ spent grain (BSG) protein hydrolysates or antibiotics on microbial N synthesis and microbial community of FPA in RUSITEC
Fig. 1
figure 1

Box plots of the (a) number of OTUs and (b) Shannon diversity index for feed particle-associated (FPA) samples by treatment. Treatments were: control (CON), basal diet; FlaH, basal diet + 1% FlaH (dry matter basis; DM); AlcH, basal diet + 1% AlcH; ANT, basal diet + 33 mg monensin + 11 mg tylosin/kg diet DM. Different lowercase letters within each treatment indicate significantly different means (P < 0.05)

Fig. 2
figure 2

Non-metric multidimensional scaling (NMDS) plots of the Bray-Curtis dissimilarities for feed particle-associated (FPA) samples by treatment. Treatments were: control (CON), basal diet; FlaH, basal diet + 1% FlaH (dry matter basis; DM); AlcH, basal diet + 1% AlcH; ANT, basal diet + 33 mg monensin + 11 mg tylosin/kg diet DM. No statistical difference was obsevered among CON, FlaH and AlcH treatments, which were significantly (P < 0.05) different from ANT

Analysis of the taxonomic composition revealed that AlcH and FlaH had no effect on the relative abundance (RA) of bacteria at the phylum level (Fig. 3a). However, the addition of antibiotics reduced (P < 0.05) the RA of Firmicutes and Bacteroidetes and enhanced (P < 0.05) the RA of Proteobacteria at the phylum level. For all treatments, phyla of Firmicutes, Bacteroidetes and Proteobacteria were the most predominant, accounting for approximately 90% of the microbial biomass in FPA, which was consistent with the sequencing results of liquid associated microbial community of in vitro [46] and in vivo studies [47, 48]. This suggested that phyla of Firmicutes, Bacteroidetes and Proteobacteria were predominant in both the liquid and particle-associated ruminal microbiome. While at the genus level, Prevotella, Succinivibrio, Selenomonas, Shuttleworthia, Schwartzia, Bifidobacterium, Lactobacillus, Dialister and Anaerobiospirillum were among the 10 most abundant genera in FPA microbial community (Fig. 3b) and should be considered as the “core bacteria” associated with feed particles. The FlaH treatment enhanced (P < 0.05) the RA of Prevotella, but reduced the RA of Selenomonas, Shuttleworthia, Bifidobacterium and Dialister as compared to the control. The AlcH treatment also had less (P < 0.05) RA of Schwartzia and Bifidobacterium than control. Notably, ANT reduced (P < 0.05) the RA of Prevotella, Selenomonas, Shuttleworthia, Bifidobacterium, Lactobacillus and Dialister, and increased RA of Succinivibrio compared with control. Furthermore, the Log2 fold change analysis found that several genera from phyla Actinobacteria, Bacteroidetes, Firmicutes and Proteobacteria had 5% more change (enhanced or reduced; P < 0.05) than the control (Fig. 4). Additionally, genera of Shuttleworthia, Selenomonas, Lactobacillus and Schwartzia from phyla Firmicutes were especially susceptible to FlaH, AlcH and ANT supplementation. These results indicated that FlaH and AlcH had less antibacterial effects compared to ANT. As F. succinogenes, R. albus, R. flavefaciens, P. ruminicola, E. cellulosolvens, and E. ruminantium are major rumen fibrolytic bacteria [49], the present results indicated that the application of BSG protein hydrolysates had no obvious detrimental effect on fibrolytic bacteria. This was supported by no treatment effect of FlaH and AlcH on the disappearances of NDF and ADF.

Fig. 3
figure 3

Effects of brewers’ spent grain (BSG) protein hydrolysates or antibiotics on the relative abundance (RA) of ruminal microbial at phylum (a) and genus (b) level. Treatments were: control (CON), basal diet; FlaH, basal diet + 1% FlaH (dry matter basis; DM); AlcH, basal diet + 1% AlcH; ANT, basal diet + 33 mg monensin + 11 mg tylosin/kg diet DM. The ANT reduced (P < 0.05) the RA of Firmicutes and Bacteroidetes and enhanced (P < 0.05) the RA of Proteobacteria at the phylum level; The FlaH treatment enhanced (P < 0.05) the RA of Prevotella, but reduced the RA of Selenomonas, Shuttleworthia, Bifidobacterium and Dialister as compared to the control. The AlcH treatment also had less (P < 0.05) RA of Schwartzia and Bifidobacterium than control. The ANT reduced (P < 0.05) the RA of Prevotella, Selenomonas, Shuttleworthia, Bifidobacterium, Lactobacillus and Dialister, and increased RA of Succinivibrio compared with control

Fig. 4
figure 4

Relative changes (log2 fold; P < 0.05) of ruminal bacterial by treatment vs. control (CON) at genus level. Treatments were: CON, basal diet; FlaH, basal diet + 1% FlaH (dry matter basis; DM); AlcH, basal diet + 1% AlcH; ANT, basal diet + 33 mg monensin + 11 mg tylosin/kg diet DM

More susceptible to FlaH and AlcH were genera of Shuttleworthia, Selenomonas, Lactobacillus and Schwartzia from phyla Firmicutes and genera of Bifidobacterium from phyla Actinobacteria thus suggesting that the BSG protein hydrolysates had antibacterial activity which were more potent to Gram-positive bacteria than to Gram-negative bacteria. Similar results were reported that indicated that Gram-positive bacterial strains used were more sensitive to whey hydrolyzed by Alcalase than Gram-negative bacterial strains [50]. The specific mechanism is unknown, however it appears that this difference might be attributed to the lack of protective outer membrane in Gram-positive bacteria [51]. The exhibited antibacterial activity of FlaH and AlcH against the above-mentioned rumen bacteria is probably due to the release of certain antibacterial peptides upon Flavorzyme and Alcalase hydrolysis of the BSG proteins. The antibacterial peptides exert antibacterial effects due to their structure of alternating hydrophobic and cationic portions [52], with the cationic component likely able to bind to the polar heads of the negatively charged membrane phospholipids of bacteria. Meanwhile, the hydrophobic components are then inserted into the cell membrane of the bacteria, thus destabilizing water inlet and causing cell lysis. This may be further explained if looking at essential oils with antioxidant activity as they had stronger antibacterial activity than other essential oils [53], thus it may be speculated that the antibacterial effects of BSG protein hydrolysates might also be because of their antioxidant activities. The antioxidant activity of protein hydrolysates relies on the enzymes and methods used during BSG protein hydrolysis. Similarly, differences in effectiveness of monensin on ruminal Gram-positive and Gram-negative bacteria were also observed in the current study, and confirm the monensin sensitivity to Gram-positive bacteria [47].

The rumen microbial community is usually dominated by Prevotella at genus level when fed high grain diets [54]. Members of Prevotella are able to utilise various nutrients such as starch, proteins and non-cellulosic polysaccharides [55, 56], and to convert lactate into propionate to prevent accumulation of the former [48]. Moreover, as Prevotella are also H2-consuming bacteria in addition to Selenomonas [57], the reduced H2 with FlaH and AlcH was likely due to the increased RA of genus Prevotella. Meanwhile, members of Prevotella are known as the predominant proteolytic bacteria with a great diversity of extracellular proteolytic activities in the rumen [38, 58], thus, the decreased disappearance of CP by supplementing monensin could be explained by decreased RA of Prevotella. Currently, probiotics such as direct-fed microbials are often developed from the genera Lactobacillus and Bifidobacterium [59] and the reduced relative abundance of Lactobacillus and Bifidobacterium with ANT suggested a disadvantage of applying monensin in the diet. The genus Schwartzia are asaccharolytic and can ferment succinic acid to produce propionic acid [60]. It was reported that bacteria affiliated with Schwartzia were negatively correlated with CH4 emissions [61], which was contrary to our results that monensin reduced the RA of Schwartzia and CH4 emissions.

There is limited information on the genus Shuttleworthia, and its function in the rumen is almost unknown [54]. Recent studies found that the genus Shuttleworthia are digesta-adherent rumen bacteria in dairy and beef cattle [62] and are starch and sugar utilizers [63]. It has been reported that supplementation of phytogenic compounds decreased the RA of Shuttleworthia in dry dairy cows [63]. In the current study, the decreased Shuttleworthia observed with the BSG hydrolysates and ANT treatments may explain the decreased starch digestibility with FlaH and ANT. A recent study has shown a negative correlation between Shuttleworthia and lactate and NH3-N concentration [64], thus explaining the higher NH3-N production with BSG hydrolysates.

Bacteria from genus Selenomonas, in addition to degrading starch and cellulose, play a critical role in maintaining normal rumen fermentation through conversion of lactate and succinate into propionate, reducing lactate accumulation [65,66,67] and consumption of H2 to maintain low rumen H2 concentration [68, 69]. As fumarate and nitrate reducers, Selenomonas were proven a significant H2 sink in sheep [70]. Ruminants fed high starch diets often display high rumen dH2 concentrations, which would promote the growth of S. ruminantium for removing of electrons derived from fermentation [68]. Therefore, in the present study, the reduced H2 production arising from supplementation of BSG protein hydrolysates or monensin is consistent with the reduced relative abundance of Selenomonas.

Members of genus Succinivibrio can ferment both starch and cellulose into succinate and succinate then fermented by Selenomonas and other bacteria into propionate [67]. Therefore, the abundance of members of Succinivibrio in the rumen has been reported to be positively associated with feed efficiency of ruminant livestock [71, 72]. The increased RA of Succinivibrio with monensin in the present study was correlated with the increased propionate proportion and the increased fermenter fluid pH. Our results agreed with a previous study that indicates that monensin can lead to an increase in abundance of succinate producers [47] and that Succinivibrio is positively correlated to ruminal pH [66, 73]. The increased pH with ANT would be partly due to the increased RA of genus Dialister, which was reported to play a role in altering the buffering capacity of rumen fluid [74]. Furthermore, although the effects of monensin on methanogens were not determined in this study, the inclusion of monensin reduced H2 production and CH4 emissions. Our results supported the theory that decreased methane production with ANT most likely resulted from the decrease in nutrient availability for methanogenesis by acting on other rumen microorganisms instead of a direct inhibition of the methanogens [47].


Inclusion of FlaH with antioxidant activity to high grain diet showed potential to reduce ruminal CP and starch disappearance, without affecting fibre disappearance, fermentation pH, and VFA profiles. Supplementation of FlaH also decreased H2 production and suggested potential mitigation effects on CH4 production. The different effectiveness of FlaH and AlcH on altering in vitro rumen fermentation and gas production is likely due to the different pepetide compositions generated with different hydralysate enzymes. Our results suggested that FlaH had similar but lesser effects to monensin. Enzymatically hydrolysis protein extracts from BSG with flavourzyme is a feasible way of processing brewing by-products which can benefit both the brewing industry and animal production, as well reducing wastes and enteric methane emissions. Further research is needed to purify and identify bioactive peptides with antioxidant and antibacterial activities from BSG protein hydrolysates in addition to a metabolism or growth study will be carried subsequently at this research instituition.

Availability of data and materials

The data analyzed during the current study are available from the corresponding author on reasonable request.



Ratio of acetate to propionate


Acid detergent fibre


Protein hydrolysates generated under Alcalase hydrolysis


Branched-chain volatile fatty acids (isobutyrate + isovalerate)


Brewers’ spent grain


Crude protein


Dry matter


Protein hydrolysates generated under Flavourzyme hydrolysis


Feed particle associated bacteria


Feed particle-bound bacteria


Liquid associated bacteria


Neutral detergent fibre


Relative abundance


Total mixed ration


Volatile fatty acid


Organic matter


  1. Mussatto SI, Dragone G, Roberto IC. Brewers’ spent grain: generation, characteristics and potential applications. J Cereal Sci. 2006;43:1–14.

    Article  CAS  Google Scholar 

  2. Aliyu S, Bala M. Brewer’s spent grain: a review of its potentials and applications. Afr J Biotechnol. 2011;10:324–31.

    CAS  Google Scholar 

  3. Parmenter RT, Richard JW, James DM. Case study: effects of inclusion of wet brewers’ grains on the growth performance, carcass characteristics, and meat quality of finishing cattle. Prof Anim Sci. 2018;34:505–12.

    Article  Google Scholar 

  4. Yang WZ, Li YL, McAllister TA, McKinnon JJ, Beauchemin KA. Wheat distillers’ grains in feedlot cattle diets: feeding behavior, growth performance, carcass characteristics, and blood metabolites. J Anim Sci. 2012;90:1301–10.

    Article  CAS  PubMed  Google Scholar 

  5. Dewell GA, Ransom JR, Dewell RD, McCurdy K, Gardner IA, Hill AE, et al. Prevalence of and risk factors for Escherichia coli O157 in market-ready beef cattle from 12 U.S. feedlots. Foodborne Pathog Dis. 2005;2:70–6.

    Article  CAS  PubMed  Google Scholar 

  6. Yang HE, Yang WZ, McKinnon JJ, Alexander TW, Li YL, McAllister TA. Survival of Escherichia coli O157:H7 in ruminal or fecal contents incubated with corn or wheat dried distillers’ grains with solubles. Can J Microbiol. 2010;56:890–5.

    Article  CAS  PubMed  Google Scholar 

  7. Hao XY, Benke MB, Gibb DJ, Stronks A, Travis G, McAllister TA. Effects of dried distillers’ grains with solubles (wheat-based) in feedlot cattle diets on feces and manure composition. J Environ Qual. 2009;38:1709–18.

    Article  CAS  PubMed  Google Scholar 

  8. Ikram S, Huang LY, Zhang HJ, Wang J, Yin M. Composition and nutrient value proposition of brewers spent grain. J Food Sci. 2017;82:2232–42.

    Article  CAS  PubMed  Google Scholar 

  9. Hou YQ, Wu ZL, Dai ZL, Wang GH, Wu GY. Protein hydrolysates in animal nutrition: industrial production, bioactive peptides, and functional significance. J Anim Sci Biotechnol. 2017;8:24.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. McCarthy AL, O'Callaghan YC, Piggott CO, FitzGerald RJ, O'Brien NM. Brewers’ spent grain; bioactivity of phenolic component, its role of animal nutrition and potential for incorporation in functional foods: a review. Proc Nutr Soc. 2013;72:117–25.

    Article  CAS  PubMed  Google Scholar 

  11. Bamdad F, Wu JP, Chen LY. Effects of enzymatic hydrolysis on molecular structure and antioxidant activity of barley hordein. J Cereal Sci. 2011;54:20–8.

    Article  CAS  Google Scholar 

  12. Vieira EF, da Silva DD, Carmo H, Ferreira IMPLVO. Protective ability against oxidative stress of brewers’ spent grain protein hydrolysates. Food Chem. 2017;228:602–9.

    Article  CAS  PubMed  Google Scholar 

  13. Xia YC, Bamdad F, Gänzle M, Chen LY. Fractionation and characterization of antioxidant peptides derived from barley glutelin by enzymatic hydrolysis. Food Chem. 2012;134:1509–18.

    Article  CAS  PubMed  Google Scholar 

  14. McCarthy AL, Connolly A, Piggott CO, O'Brien NM, FitzGerald RJ, O'Callaghan YC. In vitro antioxidant and anti-inflammatory effects of brewers’ spent grain protein rich isolate and its associated hydrolysates. Food Res Int. 2013;50:205–12.

    Article  CAS  Google Scholar 

  15. Shen YZ, Abeynayake R, Sun X, Ran T, Li JG, Chen LY, et al. Feed nutritional value of brewers’ spent grain residue resulting from protease aided protein removal. J Anim Sci Biotechnol. 2019;10:78.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Mohanty D, Jena R, Choudhury PK, Pattnaik R, Mohapatra S, Saini MR. Milk derived antimicrobial bioactive peptides: a review. Int J Food Prop. 2016;19:837–46.

    Article  CAS  Google Scholar 

  17. Chakka AK, Elias M, Jini R, Sakhare PZ, Bhaskar N. In-vitro antioxidant and antibacterial properties of fermentatively and enzymatically prepared chicken liver protein hydrolysates. J Food Sci Technol. 2015;52:8059–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Faustino M, Veiga M, Sousa P, Costa EM, Silva S, Pintado M. Agro-food byproducts as a new source of natural food additives. Molecules. 2019;24:1056.

    Article  CAS  PubMed Central  Google Scholar 

  19. Kotlar CE, Ponce AG, Roura SI. Improvement of functional and antimicrobial properties of brewery byproduct hydrolysed enzymatically. LWT-Food Sci Technol. 2013;50:378–85.

    Article  CAS  Google Scholar 

  20. Li L, Zong XY, Zhang J, Wei CH, Huang ZG, Luo HB. Antibacterial activity of brewer's spent grains peptides to Staphylococcus aureus. Adv Mater Res. 2013;699:320–5.

    Article  CAS  Google Scholar 

  21. Yang WZ, Shen YZ, Abeynayake GTR, Ran T, Chen LY. Screening of peptides for their impact of protease, protease dose and peptide dose on in vitro rumen dry matter digestibility. Austin: ASAS-CSAS Annual Meeting & Trade Show; 2019. July 8–11.

    Book  Google Scholar 

  22. Canadian Council on Animal Care (CCAC). Guide to the care and use of farm animals in research, teaching and testing. Ottawa: CCAC; 2009.

    Google Scholar 

  23. Czerkawski JW, Breckenridge G. Design and development of a long-term rumen simulation technique (Rusitec). Br J Nutr. 1977;38:371–84.

    Article  CAS  PubMed  Google Scholar 

  24. Saleem AM, Ribeiro GO Jr, Yang WZ, Ran T, Beauchemin KA, McGeough EJ, et al. Effect of engineered biocarbon on rumen fermentation, microbial protein synthesis, and methane production in an artificial rumen (RUSITEC) fed a high forage diet. J Anim Sci. 2018;96:3121–30.

    PubMed  PubMed Central  Google Scholar 

  25. McDougall EI. Studies on ruminant saliva. 1. The composition and output of sheep’s saliva. Biochem J. 1948;43:99–109.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Wang M, Sun XZ, Janssen PH, Tang SX, Tan ZL. Responses of methane production and fermentation pathways to the increased dissolved hydrogen concentration generated by eight substrates in in vitro ruminal cultures. Anim Feed Sci Technol. 2014;194:1–11.

    Article  CAS  Google Scholar 

  27. Walters W, Hyde ER, Berg-Lyons D, Ackermann G, Humphrey G, Parada A, et al. Improved bacterial 16S rRNA gene (V4 and V4–5) and fungal internal transcribed spacer marker gene primers for microbial community surveys. mSystems. 2015;1:e00009–15.

    PubMed  PubMed Central  Google Scholar 

  28. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol. 2019;37:852–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, McGlin D, et al. Vegan: community ecology package. R package Version 2.4–4. 2017.

    Google Scholar 

  30. McMurdie PJ, Holmes S. phyloseq: a R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One. 2013;8:e61217.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. AOAC, editor. Official methods of analysis, vol. I. 18th ed. Gaithersburg: AOAC; 2005.

    Google Scholar 

  33. Van Soest PJ, Robertson JB, Lewis BA. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J Dairy Sci. 1991;74:3583–97.

    Article  PubMed  Google Scholar 

  34. Rode LM, Yang WZ, Beauchemin KA. Fibrolytic enzyme supplements for dairy cows in early lactation. J Dairy Sci. 1999;82:2121–6.

    Article  CAS  PubMed  Google Scholar 

  35. Yu DJ, Sun YW, Wang WJ, O’Keefe SF, Neilson AP, Feng H, et al. Recovery of protein hydrolysates from brewer’s spent grain using enzyme and ultrasonication. Int J Food Sci Technol. 2020;55:357–68.

    Article  CAS  Google Scholar 

  36. Connolly A, Cermeño M, Crowley D, O'Callaghan Y, O'Brien NM, Fitz RJ. Characterisation of the in vitro bioactive properties of alkaline and enzyme extracted brewers’ spent grain protein hydrolysates. Food Res Int. 2019;121:524–32.

    Article  CAS  PubMed  Google Scholar 

  37. Celus I, Brijs K, Delcour JA. Enzymatic hydrolysis of brewers’ spent grain proteins and technofunctional properties of the resulting hydrolysates. J Agric Food Chem. 2007;55:8703–10.

    Article  CAS  PubMed  Google Scholar 

  38. Wallace RJ. Ruminal microbial metabolism of peptides and amino acids. J Nutr. 1996;126:1326S–34S.

    Article  CAS  PubMed  Google Scholar 

  39. Witt MW, Newbold CJ, Wallace RJ. Influence of dietary acetylated peptides on fermentation and peptidase activities in the sheep rumen. J Appl Microbiol. 1998;84:847–51.

    Article  CAS  PubMed  Google Scholar 

  40. Russell JB. The importance of pH in the regulation of ruminal acetate to propionate ratio and methane production in vitro. J Dairy Sci. 1998;81:3222–30.

    Article  CAS  PubMed  Google Scholar 

  41. Bach A, Calsamiglia S, Stern MD. Nitrogen metabolism in the rumen. J Dairy Sci. 2005;88:E9–21.

    Article  PubMed  Google Scholar 

  42. Bladen HA, Bryant MP, Doetsch RN. A study of bacterial species from the rumen which produce ammonia from protein hydrolyzate. Appl Microbiol. 1961;9:175–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Russell JB, Strobel HJ. Effect of ionophores on ruminal fermentation. Appl Environ Microbiol. 1989;55:1–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Bodas R, Prieto N, García-González R, Andrés S, Giráldez FJ, López S. Manipulation of rumen fermentation and methane production with plant secondary metabolites. Anim Feed Sci Technol. 2012;176:78–93.

    Article  CAS  Google Scholar 

  45. Russell JB. Rumen microbiology and its role in ruminant nutrition. Ithaca: Publ. Co.; 2002.

    Google Scholar 

  46. Shen JS, Liu Z, Yu ZT, Zhu WY. Monensin and nisin affect rumen fermentation and microbiota differently in vitro. Front Microbiol. 2017;8:1111.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Schären M, Drong C, Kiri K, Riede S, Gardener M, Meyer U, et al. Differential effects of monensin and a blend of essential oils on rumen microbiota composition of transition dairy cows. J Dairy Sci. 2017;100:2765–83.

    Article  PubMed  CAS  Google Scholar 

  48. Thomas M, Webb M, Ghimire S, Blair A, Olson K, Fenske GJ, et al. Metagenomic characterization of the effect of feed additives on the gut microbiome and antibiotic resistome of feedlot cattle. Sci Rep. 2017;7:12257.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  49. Stewart CS, Flint HJ, Bryant MP. The rumen bacteria. In: Hobson PN, Stewart CS, editors. The rumen microbial ecosystem. Dordrecht: Springer Netherlands; 1997. p. 10–72.

    Chapter  Google Scholar 

  50. Osman A, Goda HA, Abdel-Hamid M, Badran SM, Otte J. Antibacterial peptides generated by Alcalase hydrolysis of goat whey. LWT-Food Sci Technol. 2016;65:480–6.

    Article  CAS  Google Scholar 

  51. Yokota S, Fujii N. Contributions of the lipopolysaccharide outer core oligosaccharide region on the cell surface properties of Pseudomonas aeruginosa. Comp Immunol Microbiol Infect Dis. 2007;30:97–109.

    Article  PubMed  Google Scholar 

  52. Kobbi S, Balti R, Bougatef A, Flem GL, Firdaous L, Bigan M, Chataigné G, Chaabouni S, Dhulster P, Nedjar N. Antibacterial activity of novel peptides isolated from protein hydrolysates of RuBisCO purified from green juice alfalfa. J Funct Foods. 2015;18:703–13.

    Article  CAS  Google Scholar 

  53. Patra AK, Yu ZT. Essential oils affect populations of some rumen bacteria in vitro as revealed by microarray (RumenBactArray) analysis. Front Microbiol. 2015;6:297.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Zhang RY, Ye HM, Liu JH, Mao SY. High-grain diets altered rumen fermentation and epithelial bacterial community and resulted in rumen epithelial injuries of goats. Appl Microbiol Biotechnol. 2017;101:6981–92.

    Article  CAS  PubMed  Google Scholar 

  55. Accetto T, Avgustin G. The diverse and extensive plant polysaccharide degradative apparatuses of the rumen and hindgut Prevotella species: a factor in their ubiquity? Syst Appl Microbiol. 2019;42:107–16.

    Article  CAS  PubMed  Google Scholar 

  56. Purushe J, Fouts DE, Morrison M, White BA, Mackie RI, Coutinho PM, et al. Comparative genome analysis of Prevotella ruminicola and Prevotella bryantii: insights into their environmental niche. Microb Ecol. 2010;60:721–9.

    Article  PubMed  Google Scholar 

  57. Denman SE, Fernandez GM, Shinkai T, Mitsumori M, McSweeney CS. Metagenomic analysis of the rumen microbial community following inhibition of methane formation by a halogenated methane analog. Front Microbiol. 2015;6:1087.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Griswold KE, White BA, Mackie RI. Diversity of extracellular proteolytic activities among Prevotella species from the rumen. Curr Microbiol. 1999;39:187–94.

    Article  CAS  PubMed  Google Scholar 

  59. McAllister TA, Beauchemin KA, Alazzeh AY, Baah J, Teather RM, Stanford K. Review: the use of direct fed microbials to mitigate pathogens and enhance production in cattle. Can J Anim Sci. 2011;91:193–211.

    Article  CAS  Google Scholar 

  60. van Gylswyk NO, Hippe H, Rainey FA. Schwartzia succinivorans gen. nov., sp. nov., another ruminal bacterium utilizing succinate as the sole energy source. Int J Syst Bacteriol. 1997;47:155–9.

    Article  PubMed  Google Scholar 

  61. Cunha CS, Veloso CM, Marcondes MI, Mantovani HC, Tomich TR, Pereira LGR, et al. Assessing the impact of rumen microbial communities on methane emissions and production traits in Holstein cows in a tropical climate. Syst Appl Microbiol. 2017;40:492–9.

    Article  CAS  PubMed  Google Scholar 

  62. Noel SJ, Attwood GT, Rakonjac J, Moon CD, Waghorn GC, Janssen PH. Seasonal changes in the digesta-adherent rumen bacterial communities of dairy cattle grazing pasture. PLoS One. 2017;12:e0173819.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  63. Neubauer V, Petri R, Humer E, Kröger I, Mann E, Reisinger N, et al. High-grain diets supplemented with phytogenic compounds or autolyzed yeast modulate ruminal bacterial community and fermentation in dry cows. J Dairy Sci. 2018;101:2335–49.

    Article  CAS  PubMed  Google Scholar 

  64. Xia GL, Sun J, Fan YT, Zhao FF, Ahmed G, Jin YQ, et al. β-sitosterol attenuates high grain diet-induced inflammatory stress and modifies rumen fermentation and microbiota in sheep. Animals. 2020;10:171.

    Article  PubMed Central  Google Scholar 

  65. Wang XX, Li XB, Zhao CX, Hu P, Chen H, Liu ZX, et al. Correlation between composition of the bacterial community and concentration of volatile fatty acids in the rumen during the transition period and ketosis in dairy cows. Appl Environ Microbiol. 2012;78:2386–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Pan XH, Xue FG, Nan XM, Tang ZW, Wang K, Beckers Y, et al. Illumina sequencing approach to characterize thiamine metabolism related bacteria and the impacts of thiamine supplementation on ruminal microbiota in dairy cows fed high-grain diets. Front Microbiol. 2017;8:1818.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Lan W, Yang CL. Ruminal methane production: associated microorganisms and the potential of applying hydrogen-utilizing bacteria for mitigation. Sci Total Environ. 2019;654:1270–83.

    Article  CAS  PubMed  Google Scholar 

  68. Wang M, Wang R, Liu M, Beauchemin KA, Sun XZ, Tang SX, et al. Dietary starch and rhubarb supplement increase ruminal dissolved hydrogen without altering rumen fermentation and methane emissions in goats. Animal. 2019;13:975–82.

    Article  CAS  PubMed  Google Scholar 

  69. Belanche A, Doreau M, Edwards JE, Moorby JM, Pinloche E, Newbold CJ. Shifts in the rumen microbiota due to the type of carbohydrate and level of protein ingested by dairy cattle are associated with changes in rumen fermentation. J Nutr. 2012;142:1684–92.

    Article  CAS  PubMed  Google Scholar 

  70. Greening C, Geier R, Wang C, Woods LC, Morales SE, McDonald MJ, et al. Diverse hydrogen production and consumption pathways influence methane production in ruminants. ISME J. 2019;13:2617–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. Hernandez-Sanabria E, Goonewardene LA, Wang ZQ, Durunna ON, Moore SS, Guan LL. Impact of feed efficiency and diet on adaptive variations in the bacterial community in the rumen fluid of cattle. Appl Environ Microbiol. 2012;78:1203–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Elolimy AA, Arroyo JM, Batistel F, Iakiviak MA, Loor JJ. Association of residual feed intake with abundance of ruminal bacteria and biopolymer hydrolyzing enzyme activities during the peripartal period and early lactation in Holstein dairy cows. J Anim Sci Biotechnol. 2018;9:43.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  73. Wetzels SU, Mann E, Metzler-Zebeli BU, Pourazad P, Qumar M, Klevenhusen F, et al. Epimural indicator phylotypes of transiently-induced subacute ruminal acidosis in dairy cattle. Front Microbiol. 2016;7:274.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Myer PR, Smith TPL, Wells JE, Kuehn LA, Freetly HC. Rumen microbiome from steers differing in feed efficiency. PLoS One. 2015;10:e0129174.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

Download references


The authors thank the Lethbridge Research and Development Centre Metabolism barn staff for their care and management of the animals and Alastair Furtado and Darrell Vedres for their technical assistance.


This work was financially supported by the Agriculture and Agri-Food Canada (AAFC) Growing forward program (GF2#1542).

Author information

Authors and Affiliations



WZY and LYC designed the study and revised manuscript, RA performed BSG protein hydrolysates generation and antioxidant activity assay and revised manuscript; AMS and XMZ helped on samples collection and analysis; LJ and DYN helped for microbial data analysis and revised manuscript; TR performed this study, analyzed the data and wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Wenzhu Yang.

Ethics declarations

Ethics approval and consent to participate

All the procedures for the treatment and care of experimental cattle were approved by the Animal Care and Use Committee of Lethbridge Research and Development Centre and followed the guidelines of the Canadian Council on Animal Care (2009).

Consent for publication

Not applicable.

Competing interests

The authors declare that they do not have any conflict of interest.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ran, T., Jin, L., Abeynayake, R. et al. Effects of brewers’ spent grain protein hydrolysates on gas production, ruminal fermentation characteristics, microbial protein synthesis and microbial community in an artificial rumen fed a high grain diet. J Animal Sci Biotechnol 12, 1 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: