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Asian-Australas J Anim Sci > Volume 27(12); 2014 > Article
Yin, Liu, Zhu, and Mao: Effects of Acarbose Addition on Ruminal Bacterial Microbiota, Lipopolysaccharide Levels and Fermentation Characteristics In vitro


This study investigated the effects of acarbose addition on changes in ruminal fermentation characteristics and the composition of the ruminal bacterial community in vitro using batch cultures. Rumen fluid was collected from the rumens of three cannulated Holstein cattle fed forage ad libitum that was supplemented with 6 kg of concentrate. The batch cultures consisted of 8 mL of strained rumen fluid in 40 mL of an anaerobic buffer containing 0.49 g of corn grain, 0.21 g of soybean meal, 0.15 g of alfalfa and 0.15g of Leymus chinensis. Acarbose was added to incubation bottles to achieve final concentrations of 0.1, 0.2, and 0.4 mg/mL. After incubation for 24 h, the addition of acarbose linearly decreased (p<0.05) the total gas production and the concentrations of acetate, propionate, butyrate, total volatile fatty acids, lactate and lipopolysaccharide (LPS). It also linearly increased (p<0.05) the ratio of acetate to propionate, the concentrations of isovalerate, valerate and ammonia-nitrogen and the pH value compared with the control. Pyrosequencing of the 16S rRNA gene showed that the addition of acarbose decreased (p<0.05) the proportion of Firmicutes and Proteobacteria and increased (p<0.05) the percentage of Bacteroidetes, Fibrobacteres, and Synergistetes compared with the control. A principal coordinates analysis plot based on unweighted UniFrac values and molecular variance analysis revealed that the structure of the ruminal bacterial communities in the control was different to that of the ruminal microbiota in the acarbose group. In conclusion, acarbose addition can affect the composition of the ruminal microbial community and may be potentially useful for preventing the occurrence of ruminal acidosis and the accumulation of LPS in the rumen.


The energy and fibre dietary requirements of high-yielding dairy cows are not easily met. This is especially true for early lactation cows because the energy they expend exceeds the energy they consume. Thus, feeding highly fermentable diets to dairy cattle is a common strategy to increase energy intake. However, highly fermentable diets are rapidly converted to organic acids (i.e. short-chain fatty acids and lactic acid) in the rumen. The resulting release of protons can constitute a challenge to the ruminal ecosystem and animal health and lead to subacute ruminal acidosis (SARA) (Krause et al., 2006). Screening 15 Holstein herds in the US revealed the presence of SARA in 19% of early lactation cows and 26% of mid-lactation cows (Garrett et al., 1997). As SARA affects animal health and reduces milk yields, SARA is considered a major nutritional disorder in ruminants (Krause et al., 2006). In addition to compromising the health of dairy cows and increasing costs, SARA is of concern for animal welfare reasons, as ruminal acidosis can cause lameness and laminitis, both of which significantly affect the comfort and general well-being of the animal (Cook et al., 2004).
Lipopolysaccharide (LPS) is a component of the cell wall of gram-negative bacteria, which are the predominant bacterial group in the rumen. Previous studies revealed that a decline in ruminal pH during SARA causes the death and cell lysis of gram-negative bacteria, resulting in an increase in the free ruminal LPS concentration (Nagaraja et al., 1978; Nagaraja and Titgemeyer, 2007; Plaizier et al., 2008). A low ruminal pH, together with high LPS levels during SARA, can reduce the barrier function of the epithelium of the rumen, potentially allowing LPS to translocate into blood and stimulate a systemic inflammatory response (Zebeli and Metzler-Zebeli, 2012). Therefore, it is very important to prevent the accumulation of LPS and to stabilise the ruminal pH during SARA.
Many strategies have been used to improve the ruminal pH during SARA. The use of ionophores (Packer et al., 2011) and probiotics based on yeasts, such as Saccharomyces cerevisiae (Desnoyers et al., 2009), have been found to stabilise the ruminal pH and to improve milk production. Recently, some new approaches for controlling the pH, including α-amylase, glucosidase inhibitors and organic acid, have been explored (McLaughlin et al., 2009a,b; Remling et al., 2013). Of them, the glucosidase inhibitors such as acarbose has been demonstrated to have beneficial effects in preventing the incidence of acidosis in steers (McLaughlin et al., 2009a), and in reversing the decrease in feed intake and milk fat when feeding dairy cattle a diet containing a high ratio of concentrate (McLaughlin et al., 2009b). However, it is not clear whether acarbose affects the concentration of ruminal LPS. In addition, although previous studies revealed that the addition of acarbose produces a lower Streptococcus bovis to Megasphaera elsdenii ratio than in the rumen of the control group (Blanch et al., 2010), little information is available on the effects of acarbose on the composition of the ruminal microbial community.
In this study, we hypothesised that acarbose affects the composition of the ruminal bacterial community and that it decreases the concentration of LPS in the rumen. Thus, this research investigated the effects of acarbose addition on changes in ruminal fermentation characteristics, the levels of LPS, and the composition of the ruminal microbial community in vitro.


Compounds and animal husbandry conditions

Acarbose (Precose) (Bayer Corporation, West Haven, CT, USA) is a microbial-derived α-glucosidase inhibitor, which is marketed as a treatment for human and animal type II (i.e. noninsulin-dependent) diabetes mellitus. Three ruminally cannulated Holstein cows (500±23.5 kg BW) served as ruminal fluid donors for these experiments. The cattle were fed a diet of corn straw ad libitum, supplemented with 6 kg of concentrate. The ingredients of the concentrate included corn, soybean meal and wheat bran. The composition (% dry matter [DM]) of the diet was crude protein 12.3, neutral detergent fibre 40.4 and acid detergent fiber 17.2. The cattle were fed twice daily at 6.30 and 18.00 h. All animal care was conducted in accordance with procedures approved by the Animal Care and Use Committee of Nanjing Agricultural University.

Treatments and sampling

The substrate (490 mg of ground corn kernels, 210 mg of ground soymeal bean, 150 mg of ground Leymus chinensis hay and 150 mg of ground alfalfa hay, DM based) was oven dried, weighed and placed in bottles. The groups were divided into a control group (0 mg acarbose) and three acarbose treatment groups, with 4, 8, and 16 mg/bottle. The final concentration of acarbose in the acarbose treatment groups was 0.1, 0.2, and 0.4 mg/mL, respectively. There were four replicate bottles in both the acarbose treatment groups and the control group. The four bottles containing the incubation medium without substrate and acarbose were incubated as blanks to correct the gas production resulting from the activity of the ruminal fluid.
The contents of the rumen were obtained immediately before morning feeding and squeezed through four layers of cheesecloth into a flask under CO2 in a water bath at 39ºC until used. A 40 mL mixture containing 37ºC reduced buffer medium (Theodorou et al., 1994) and strained rumen fluid in a 4:1 (v/v) ratio was dispensed into each incubation bottle. Immediately after inoculation, the bottles were gassed with CO2, sealed and incubated at 39ºC for 24 h. Gas production was measured at 2, 4, 6, 8, 12, 16, and 24 h using a pressure transducer technique (Theodorou et al., 1994). At the end of the incubation, the pH values in each bottle were measured immediately after the bottle was uncapped, and the fermentation was then stopped by swirling the bottles on ice. The bottles were emptied into centrifuge tubes, and the solid residue remaining at the end of fermentation was separated by centrifugation at 12,000×g for 10 min. Supernatant fluid (1 mL) was added to 0.2 mL of deproteinising solution (metaphosphoric acid [100 mL/L]) for short chain fatty acids (SCFA) analysis. Another 2 mL of the supernatant fluid were added to 2 mL of 0.2 mol/L-HCl for ammonia-nitrogen (NH3-N) analysis. The remaining supernatant was used as a subsample for the analysis of lactic acid and LPS. The samples were stored at −20ºC for future analysis. The solid residues in the control and in the 16 mg of acarbose/bottle treatment obtained by centrifugation were resuspended in 5 mL of phosphate buffer solution (pH 7.2) and stored at −80ºC for DNA extraction.


The SCFA concentrations were analysed according to the gas chromatography (GC-14B, Shimadzu, Japan) method proposed by Qin (1982) (capillary column. 30 m×0.32 mm×0.25 mm film thickness, column temperature = 110ºC, injector temperature = 180ºC and detector temperature = 180ºC). NH3-N was measured by the indophenol method (Weatherburn, 1967). The concentration of lactic acid was analysed following the method described by Baker and Summerson (1941). The level of LPS was measured by a chromogenic end-point Tachypleus amebocyte lysate assay kit (Chinese Horseshoe Crab Reagent Manufactory, Xiamen, China).

DNA extraction and 16S rRNA gene amplicon pyrosequencing

A total of 1 mL of the stored solution from the control and the 0.4 mg/mL of acarbose/bottle treatment were used for DNA extraction. The DNA was extracted by a bead-beating method using a mini-bead beater (Biospec Products Inc., Bartlesville, OK, USA), followed by phenol–chloroform extraction (Mao et al., 2007). The solution was precipitated with ethanol, and the pellets were suspended in 50 μL of Tris-EDTA buffer. DNA was quantified using a Nanodrop spectrophotometer (Nyxor Biotech, Paris, France), following staining using a Quant-it Pico Green dsDNA kit (Invitrogen Ltd. Paisley, UK). The DNA samples were stored at −80ºC until further processing.
The following universal primers were applied for the amplification of the V3–V6 region of the 16S rRNA gene: forward primer, 5′-CCATCTCATCCCTGCGTGTCTCC GACTCAGNNNNNNACTCCTACGGGAGGCAGCAG-3′ (the italicised sequence is a 454 Life Sciences primer A, and the bold sequence is the broadly conserved bacterial primer 338F, NNNNNN designates the sample-specific six-base barcode used to tag each polymerase chain reaction [PCR] product), reverse primer 5′-CCTATCC-CCTGTGTGCCTTGGCAGTCTCAGCRRCACGAGCTGACGAC-3′ (the italicised sequence is 454 Life Sciences primer B, and the bold sequence is the broadly conserved bacterial primer 1061R). The cycling parameters were as follows: 5 min initial denaturation at 95ºC, 25 cycles of denaturation at 95ºC (30 s), annealing at 55ºC (30 s), elongation at 72ºC (30 s) and final extension at 72ºC for 5 min. Three separate PCR reactions of each sample were pooled for pyrosequencing. The PCR products were separated by 1% agarose gel electrophoresis and purified using a QIAquick Gel extraction kit (Qiagen, Valencia, CA, USA). Amplicons were quantified using a Quant-iT PicoGreen dsDNA Assay Kit (Invitrogen Ltd., UK). Equal concentrations of amplicons were pooled from each sample. The amplicons were sequenced as recommended by the manufacturer’s instructions.

Pyrosequencing data analysis

The sequences were processed using the Mothur (version 1.29.0, April 2013) program. 16S rRNA reads were decoded based on 6 bp sample-specific barcodes and processed to remove poor quality sequences. To reduce sequencing errors, the shhh.flows command was applied, which is the Mothur implementation of the AmpliconNoise algorithm. Quality filters were applied to trim and remove sequences with sequences less than 200 bp in length, an average quality score less than 35 and homopolymers longer than eight nucleotides with more than two different bases than the primer. To obtain a nonredundant set of sequences, unique sequences were determined and aligned using the SILVA reference alignment database. Chimeras were removed using chimera.uchime (http://drive5.com/uchime). The sequences identified as being of eukaryotic origin were removed. The candidate sequences were then screened and preclustered to eliminate outliers. A distance matrix was generated from the resulting sequences. The sequences were clustered into operational taxonomic units (OTUs) using the furthest neighbour algorithm. Representative sequences from the OTUs at a 0.03 distance were obtained and classified using ribosomal database project’s Bayesian classifier (Wang et al., 2007). Rarefaction curves and Good’s coverage were calculated to quantify the coverage and sampling effort. Community diversity was estimated using Chao1 and Shannon indices (Baker et al., 2003). The unweighted Unifrac distance method was used to perform a principal coordinates analysis (PCoA), and a distance-based molecular variance analysis (AMOVA) was conducted to assess significant differences between the samples (Good, 1953). Double hierarchical analysis was conducted using the unweighted pair-group method and Manhattan distance with no scaling using the Number Cruncher Statistical System (NCSS 2007) software (NCSS, Kaysville, UT, USA).

Statistical analysis

Fermentation data were analysed using the one-way analysis of variance program in the statistical software package SPSS vs. 17.0 (SPSS Inc., Chicago, IL, USA). Linear effects due to acarbose addition were determined using polynomial contrasts. The microbial data were analysed using the nonparametric Kruskal-Wallis test. All p-values from the nonparametric Kruskal-Wallis test for microbial data were adjusted by the false discovery rate. Significant differences were considered at p<0.05.


In vitro anaerobic fermentation and gas production

As shown in Table 1, acarbose addition linearly decreased (p<0.05) the gas production and the concentrations of acetate, propionate, butyrate, total short chain fatty acid (TSCFA), lactic acid and LPS, and linearly increased (p<0.05) the ratio of acetate to propionate, the pH and the concentrations of isovalerate, valerate and NH3-N compared with the control. No significant effect (p>0.05) was observed in the concentration of isobutyrate between the control and the acarbose treatments.

General DNA sequencing observations

Of the pyrosequencing reads that passed the quality control tests, 18,772 were from the control group and 20,156 were from the acarbose groups. The number of sequences per sample within the two groups ranged from 4,066 in the control to 5,152 in the acarbose groups (Table 2). Overall, 14 phyla were represented in the ruminal samples (Table 3). Of the major phyla, Firmicutes (53.8%) and Bacteroidetes (36.3%) were the most abundant in the library. Five of the detected phyla, namely Firmicutes, Bacteroidetes, Proteobacteria, Spirochaetes, and Tenericutes, collectively constituted more than 98% of the ruminal microbiome. Each of the other phyla corresponded to less than 1% of the sequences. About 0.15% and 0.35% of the sequences could not be assigned to any bacterial phylum in the control and the acarbose group, respectively.
At the genus level, overall, a total of 68 genera belonging to the 14 phyla were observed in the control and the treatment groups. However, 35.7% of all sequences were not identified at the genus level in the present study. Among the 68 bacterial genera identified, the control and the acarbose groups were represented by 45 and 56 genera, respectively (Table 4). The most abundant genera in the control group were Prevotella (17.19%), Pseudobutyrivibrio (11.4%), Streptococcus (8.46%), Ruminobacter (6.85%), Butyrivibrio (5.65%), and Ruminococcus (2.27%). In the acarbose group, the most abundant genera were Prevotella (12.7%), Streptococcus (7.36%), Ruminococcus (2.35%), Olivibacter (2.17%), and Pseudobutyrivibrio (2.15%) (Figure 1). For OTUs at the 3% distance (species level), 4,262 different phylotypes were detected among all the samples. Of these, 2,709 phylotypes were found in the control samples and 3,220 in the acarbose samples (Table 4). A Venn diagram revealed that the percentage of species-level taxa shared by the control and acarbose groups was 39% (1,667 species) (Figure 2).

Influence of acarbose addition on ruminal bacterial phyla and genera in vitro

At the phylum level, as compared with the control, acarbose addition decreased (p<0.05) the relative abundance of Firmicutes and Proteobacteria and increased (p<0.05) the proportion of Bacteroidetes, Fibrobacteres and Synergistetes (Table 3). No significant effects (p>0.05) were observed in the percentages of Actinobacteria, Chloroflexi, Cyanobacteria, Elusimicrobia, Lentisphaerae, Spirochaetes, Tenericutes, unclassified Bacteria, and Verrucomicrobia between the control and the acarbose group.
At the genus level, as compared with the control, acarbose addition decreased (p<0.05) the percentage of Prevotella, Pseudobutyrivibrio, Ruminobacter, Butyrivibrio, Succiniclasticum, Succinatimonas, Acetitomaculum, and Solobacterium (Table 5) and increased (p<0.05) the percentage of Olivibacter, Xylanibacter, and Barnesiella.

Influence of acarbose addition on changes in the bacterial diversity in the rumen

Rarefaction curves indicated that acarbose addition increased the diversity of bacterial microbiota compared with the control (Figure 3). The results showed that the Shannon index and the Chao1 value of the acarbose treatment group were higher than those of the control (Figure 4). In addition, PCoA profiles revealed that the composition of the ruminal bacterial community of the acarbose and the control groups was distinct (Figure 5). The distance-based AMOVA unweighted analysis also showed that there was a significant difference in the composition of the bacterial microbiota of the control and acarbose groups (p = 0.024).

Correlations between the fermentation data and the percentage of microbial phyla

Pearson correlation analysis of the relative abundance of the phyla and the ruminal fermentation data was performed (Table 6). The results showed that the phylum Bacteroidetes and Fibrobacteres were positively correlated (p<0.05) with ruminal pH, the concentrations of isovalerate, valerate and NH3-N and the ratio of acetate to propionate, and negatively associated with the concentrations of LPS, lactate, acetate, propionate, butyrate and TSCFA. In addition, the Firmicutes and Proteobacteria were positively correlated (p<0.05) with the levels of LPS, lactate, acetate, propionate, butyrate and TSCFA, and negatively correlated (p<0.05) with the pH, the ratio of acetate to propionate and the concentration of NH3-N. Another three phyla, the Synergisters, Tenericutes, and unclassified bacteria, were positively correlated with the concentration of iosvalerate. Ternericutes was also correlated with the levels of LPS and NH3-N and with the ratio of acetate to propionate.


Acarbose is a α-amylase and glucosidase inhibitor that is indicated for the control of blood glucose in diabetic patients. The possible effect of acarbose is attributed to it decreasing starch digestion in the rumen and increasing the amount of starch digested in the intestine (Speight et al., 2007). Therefore, if a reduced amount of starch is degraded in a fermentation bottle by adding acarbose, a decrease in SCFA production is expected. McLaughlin et al. (2009a) observed a decrease in TSCFA and lactate concentrations in animals treated with acarbose compared with a control in an acute-acidosis challenge experiment in cattle. In agreement with the above report (McLaughlin et al., 2009a), the current study showed that acarbose addition increased the final pH and decreased the concentrations of lactate and TSCFA. However, the concentrations of NH3-N, isovalerate and valerate were increased in the acarbose treatment compared with the control. It is known that the ruminal NH3-N concentration is a crude predictor of the efficiency of dietary N conversion to microbial N. The increase in the NH3-N levels in the present study indicates that the addition of acarbose may have decreased the efficiency of dietary N conversion to microbial N. This result implies that acarbose addition may affect the production of microbial protein.
There is limited information on the effect of acarbose addition on the composition of the ruminal community. Blanch et al. (2010) reported that acarbose addition (0.75 g/d) decreased the Streptococcus bovis to Megasphaera elsdenii ratio in the rumen of dairy cattle fed a high grain diet compared with the control group, suggesting that acarbose may affect the composition of ruminal microflora. In this study, a pyrophosphate sequencing approach was adopted to monitor the change in the composition of the ruminal bacterial community. The results revealed that acarbose addition resulted in an increased diversity, with the predicted Chao1 values and Shannon index much higher in the acarbose treatment group compared to the control group (Figure 4). In addition, PCoA profiles also revealed that acarbose addition altered the composition of the ruminal bacterial community (Figure 5). A plausible explanation for these findings is that the activity of α-amylase/glucosidase produced by the members of the rumen bacterial microbiota may be inhibited in the rumen, and the inhibition of α-amylase/glucosidase activity reduced the rate of degradation of starch to glucose and thus the supply of glucose available for SCFA production should be reduced. The decrease in the supply of glucose may result in lower energy production and further reduce the growth rates of ruminal bacteria, and finally alter the composition and structure of rumen bacterial community.
Proteobacteria are predominantly composed of gram-negative bacteria, which have highly diverse metabolic functions (Nagaraja and Titgemeyer, 2007), especially in ruminal N metabolism. The decreased detection of Proteobacteria in the acarbose treatment group suggests a decrease in the numbers of bacterial species that are metabolically capable of handling the protein content of the substrate (Table 3). Firmicutes were abundant in the 16S rRNA libraries of both groups. Firmicutes are mainly comprised of gram-positive, low G+C-content bacteria (Boone et al., 2001). Thus, the presence of Firmicutes in high abundance in both groups suggests that Firmicutes represent a core bacterial component within the rumen. In addition, at the phylum level for the bacteria detected in this study, acarbose addition increased the percentage of Bacteroidetes, whereas Firmicutes was less abundant in the acarbose treatment than in the control. As mentioned earlier, Firmicutes are a core bacterial component within the rumen. Thus, the decreased detection of Firmicutes following acarbose treatment suggests a decrease in the abundance of bacterial species that are metabolically capable of handing the whole substrate. In line with this idea, in the present study, a lower concentration of TSCFA was observed in the acarbose group compared with the control. Bacteroidetes are the most abundant gram-negative bacteria found in the anaerobic communities of the rumen. The decrease in the abundance of Bacteroidetes may be partly explained by the low final pH in the control group, as a low rumen pH can result in the death and lysis of gram-negative bacteria (Russell and Diez, 1998). The libraries from the acarbose group contained significantly higher numbers of bacteria belonging to the phylum Fibrobacteres (Table 3). Fibrobacter spp. have been identified as the major cellulolytic bacteria species present within the rumen (Denman and McSweeney, 2006). In the present study, this observation of Fibrobacter species in the acarbose treatment group indicates that acarbose may have little negative effects on the fermentation of Fibrobacter species.
This study also detected a significant difference in the population structure at the genus level between the control and the acarbose groups. We observed that the proportions of the predominant genera, including Prevotella, Pseudobutyrivibrio, Ruminobacter, Butyrivibrio, and Succiniclasticum, were reduced in the acarbose groups. Among the predominant genera whose proportions were decreased, the Prevotella genus is reported to be the most predominant in the rumen (Mao et al., 2013). In the present study, the Prevotella genus was more abundant in the control group than in the acarbose groups (Table 5), suggesting that the growth of Prevotella spp. may be inhibited by the addition of acarbose. In the rumen, amylase can be produced by the members of the Butyrivibrio/Pseudobutyrivibrio (Moon et al., 2008). The current study showed that acarbose addition led to a decrease in the abundance of Pseudobutyrivibrio and Butyrivibrio. A possible explanation for this finding could be that acarbose effectively limited the availability of starch to the members of these genera listed above, and thus decreased the growth of Pseudobutyrivibrio sp. and Butyrivibrio sp. On the other hand, this study also showed that the proportions of Olivibacter and Xylanibacter were significantly increased in the acarbose group when compared with the control group. One possible explanation for this finding may be that carbohydrate metabolisms of members of these genera mentioned earlier were not affected by acarbose.
Previous studies have shown that feeding high levels of grain to dairy cows leads to a decline in ruminal pH (Denman and McSweeney, 2006; Plaizier et al., 2008), resulting in the death and cell lysis of gram-negative bacteria and a subsequent increase in the concentration of free LPS in the rumen (Plaizier et al., 2008). In addition, previous studies showed that rapid growth of gram-negative bacteria can result in the shedding of LPS in the rumen (Plaizier et al., 2008). In agreement with these studies, the present study detected a lower ruminal pH and a higher concentration of LPS in the control compared with the acarbose group. The present study also demonstrated that acarbose altered the composition of the ruminal bacterial microbiota, with a decreased abundance of Firmicutes (gram-positive species) and Proteobacteria (gram-negative species) among the total number of sequences and an increased abundance of Bacteroidetes and Fibrobacteres (gram-negative species). In addition, our results revealed a direct negative correlation between the LPS level and the abundance of some gram-negative species, including Bacteroidetes spp. and Fibrobacteres spp., and a positive correlation with the percentage of Proteobacteria spp. (Table 6). Therefore, our study indicates that the higher free LPS levels in the control may be due to the death and cell lysis of Bacteroidetes and Fibrobacteres and the rapid growth of Proteobacteria spp. In addition, these findings suggest that it is possible to prevent the accumulation of LPS by acarbose addition.
As mentioned earlier, our results revealed that acarbose addition increased the ruminal pH and decreased the concentrations of acetate, propionate and TSCFA; however, it is noteworthy that the level of acarbose used in the present study is very high compared with the doses reported in vivo trials. For instance, Blanch et al (2010) fed the acarbose to the animals at 0.75 g/cow/d, as prediction of a 20 kg intake. In the present study, the level of acarbose was 0.1 to 0.4 mg/mL containing 1 g of substrates, and this amount corresponds to 2 to 8 g/20 kg of diets. Therefore, despite the fact that obvious fermentation inhibition was detected in the present study with dose dependent manner, it should be pointed out that the high dose level may result in a negative effect on in vitro fermentation, as that high levels of acarbose in the rumen appears to be involved, not only in inhibiting carbohydrate degradation in the rumen environment, but decreasing the activities (i.e. rate of microbial growth) and numbers of rumen bacterial microbiota, which might decrease the efficiency of microbial protein synthesis. Indeed, the present study showed that there was a higher concentration of NH3-N in the acarbose group compared with the control, indicating that the addition of acarbose may have decreased the efficiency of dietary N conversion to microbial N. These findings also imply that acarbose may affect the microbial protein production and have a negative impact on animal performance if the dose was excessive.


It can be concluded that acarbose has a beneficial effect on ruminal fermentation of high-concentrate feeds by increasing the final pH and reducing LPS levels and TSCFA production, especially the concentration of butyrate. The pyrosequencing analysis showed that acarbose can increase the diversity of the ruminal bacterial community and decrease the proportion of butyrate-producing bacteria in the rumen. Thus, acarbose has potential for use as a feed additive in manipulating ruminal fermentation in ruminants.


The present study was supported by the National Key Basic Research Program of China (2011CB100801).

Figure 1
Influence of acarbose on the ruminal bacterial microbiota of the top 41 most abundant genera.
Figure 2
Venn diagram of the overlap between observed OTUs at 3% divergence in the control and acarbose groups. OTUs, operational taxonomic units.
Figure 3
Summary of diversity assessments based on the operational taxonomic units (OTUs) (3% divergence) for each sample. OTUs, operational taxonomic units.
Figure 4
Influence of acarbose on the Chao1 value (A) and the Shannon index of diversity (B). * p<0.05.
Figure 5
Results of principal coordinate analysis (PCoA) of unweighted UniFrac values of the control and acarbose group.
Table 1
Effects of acarbose addition on ruminal fermentation in vitro
Item Acarbose (mg/mL) SEM p value

0 0.1 0.2 0.4 Acarbose vs control Linear
pH 5.59 6.49 6.51 6.57 0.177 <0.001 <0.001
Lactic acid (mM) 0.21 0.14 0.13 0.13 0.056 <0.001 <0.001
Acetate (mM) 67.94 61.77 61.88 62.25 1.437 0.001 0.001
Propionate (mM) 29.24 18.24 18.04 18.76 0.539 <0.001 <0.001
Isobutyrate (mM) 1.38 1.07 1.3 1.55 0.27 0.322 0.37
Butyrate (mM) 24.74 8.4 9.24 8.57 0.453 <0.001 <0.001
Isovalerate (mM) 1.08 1.67 1.76 1.63 0.083 <0.001 <0.001
Valerate (mM) 1.5 1.78 1.86 1.78 0.067 0.001 0.001
Acetate to Propionate 2.32 3.39 3.43 3.32 0.048 <0.001 <0.001
TSCFA (mM) 125.88 92.91 94.07 94.55 2.319 <0.001 <0.001
NH3-N (mM) 5.12 14.36 16.2 15.41 0.844 <0.001 <0.001
LPS (EU/mL) 12,965.66 9,238.25 7,364.5 8,370.73 647.702 <0.001 <0.001
Total gas production (mL) 155.35 93.58 90.65 85.95 3.877 <0.001 <0.001

SEM, standard error of the mean; TSCFA, total short chain fatty acid; LPS, lipopolysaccharide; EU, endotoxin unit.

Table 2
Number of reads, OTUs and coverage obtained per sample in the control and acarbose treatments
Group Reads OTUs Coverage
Control-1 5,082 1,300 0.87
Control-2 4,066 1,161 0.86
Control-3 4,726 1,276 0.86
Control-4 4,848 1,431 0.84
Acarbose-1 5,092 1,662 0.84
Acarbose-2 5,070 1,557 0.84
Acarbose-3 5,152 1,486 0.87
Acarbose-4 4,842 1,519 0.84

OTUs, operational taxonomic units.

Table 3
Influence of acarbose addition on the changes in the composition of ruminal bacterial microbiota at the phylum level
Phylum Proportion of the total bacterial population (%) SEM p value

Control Acarbose
Firmicutes 57.25 50.35 1.750 0.031
Bacteroidetes 29.35 43.18 2.682 <0.001
Proteobacteria 9.33 1.1 1.608 <0.001
Spirochaetes 1.4 1.95 0.267 0.238
Tenericutes 1.25 1.5 0.164 0.08
Cyanobacteria 0.55 0.7 0.164 0.32
Actinobacteria 0.35 0.35 <0.001 1
Lentisphaerae 0.15 0.08 <0.001 0.228
Unclassified bacteria 0.15 0.35 <0.001 0.071
Synergistetes 0.1 0.23 <0.001 0.04
Elusimicrobia 0.08 0.1 <0.001 0.356
Chloroflexi 0.03 <0.001 <0.001 0.356
Fibrobacteres ND 0.1 <0.001 0.049
Verrucomicrobia ND 0.03 <0.001 0.356

SEM, standard error of the mean; ND, not detected.

Table 4
Number of bacterial genera and OTUs identified in the control and acarbose treatments
Parameters Control Acarbose
Total genera 45 56
OTUs 2,709 3,220

OTUs, operational taxonomic units.

Table 5
Influence of acarbose on the changes in the composition of ruminal bacterial microbiota at the genus level (only the genera which relative abundance ≥0.5% in one group were presented)
Genus Proportion of the total bacterial population (%) SEM p value

Control Acarbose
Prevotella 17.19 12.70 0.989 0.006
Pseudobutyrivibrio 11.40 2.15 1.783 <0.001
Streptococcus 8.46 7.36 0.771 0.522
Ruminobacter 6.85 0.03 1.351 <0.001
Butyrivibrio 5.65 1.87 0.730 <0.001
Ruminococcus 2.27 2.35 0.158 0.803
Oribacterium 1.30 1.33 0.069 0.833
Succiniclasticum 1.23 0.54 0.150 0.006
Selenomonas 0.99 0.56 0.119 0.068
Treponema 0.94 0.90 0.065 0.786
Succinatimonas 0.92 0.04 0.175 <0.001
Anaeroplasma 0.65 0.60 0.050 0.690
Acetitomaculum 0.64 0.35 0.061 0.002
Solobacterium 0.54 0.14 0.079 <0.001
Spirochaeta 0.45 1.06 0.179 0.084
Olivibacter 0.33 2.17 0.361 <0.001
Xylanibacter 0.24 1.84 0.307 <0.001
Barnesiella 0.14 0.50 0.079 0.006

SEM, standard error of the mean.

Table 6
Correlation(r) between the ruminal bacterial microbiota and the ruminal fermentation data1
Variables Bacteroidetes Fibrobacteres Firmicutes Proteobacteria Synergistetes Tenericutes Unclassified bacteria
pH 0.959* 0.867* −0.736* −0.963* NS NS NS
LPS (EU/mL) −0.917* −0.75* 0.742* 0.9* NS −0.86* NS
Lactate (mM) −0.956* −0.879* 0.725* 0.973* NS NS NS
Acetate (mM) −0.921* −0.752* NS 0.928* NS NS NS
Propionate (mM) −0.962* −0.844* 0.734* 0.975* NS NS NS
Butyrate (mM) −0.957* −0.869* 0.727* 0.973* NS NS NS
Isovalerate (mM) 0.903* 0.896* NS −0.971* 0.752* 0.726* 0.791*
Valerate (mM) 0.761* 0.727* NS −0.875* NS NS NS
TSCFA (mM) −0.961* −0.838* 0.733* 0.972* NS NS NS
A:P 0.967* 0.847* −0.752* −0.967* NS 0.717* NS
NH3-N (mM) 0.988* 0.869* −0.844* −0.926* NS 0.728* NS

NS, not significant; LPS, lipopolysaccharide; EU, endotoxin unit; TSCFA, total short chain fatty acid; A:P, the ration of acetate to propionate.

1 Only the phyla whose abundance was significantly associated with fermentation variables are presented.

* p<0.05.


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