Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Effects of BARLEYmax and high-β-glucan barley line on short-chain fatty acids production and microbiota from the cecum to the distal colon in rats

  • Seiichiro Aoe ,

    Roles Conceptualization, Data curation, Formal analysis, Supervision, Writing – original draft, Writing – review & editing

    s-aoe@otsuma.ac.jp

    Affiliations Studies in Human Life Sciences, Graduate School of Studies in Human Culture, Otsuma Women’s University, Chiyoda-ku, Tokyo, Japan, The Institute of Human Culture Studies, Otsuma Women’s University Chiyoda-ku, Tokyo, Japan

  • Chiemi Yamanaka,

    Roles Formal analysis

    Affiliation The Institute of Human Culture Studies, Otsuma Women’s University Chiyoda-ku, Tokyo, Japan

  • Miki Fuwa,

    Roles Data curation

    Affiliation Studies in Human Life Sciences, Graduate School of Studies in Human Culture, Otsuma Women’s University, Chiyoda-ku, Tokyo, Japan

  • Taiga Tamiya,

    Roles Data curation

    Affiliation TEIJIN Limited, Chiyoda-ku, Tokyo, Japan

  • Yasunori Nakayama,

    Roles Supervision

    Affiliation TEIJIN Limited, Chiyoda-ku, Tokyo, Japan

  • Takanori Miyoshi,

    Roles Conceptualization

    Affiliation TEIJIN Limited, Chiyoda-ku, Tokyo, Japan

  • Eiichi Kitazono

    Roles Supervision

    Affiliation TEIJIN Limited, Chiyoda-ku, Tokyo, Japan

Abstract

We investigated whether supplementation with the barley line BARLEYmax (Tantangara; BM), which contains three fermentable fibers (fructan, β-glucan, and resistant starch), modifies the microbiota in cecal and distal colonic digesta in addition to short-chain fatty acids (SCFAs) production more favorably than supplementation with a high-β-glucan barley line (BG012; BG). Male Sprague–Dawley rats were randomly divided into 3 groups that were fed an AIN-93G-based diet that contained 5% fiber provided by cellulose (control), BM or BG. Four weeks after starting the respective diets, the animals were sacrificed and digesta from the cecum, proximal colon and distal colon were collected and the SCFA concentrations were quantified. Microbiota in the cecal and distal colonic digesta were analyzed by 16S rRNA sequencing. The concentrations of acetate and n-butyrate in cecal digesta were significantly higher in the BM and BG groups than in the control group, whereas the concentration of total SCFAs in cecal digesta was significantly higher only in the BM group than in the control group. The concentrations of acetate and total SCFAs in the distal colonic digesta were significantly higher only in the BM group than in the control group. The abundance of Bacteroidetes in cecal digesta was significantly higher in the BM group than in the control group. In contrast, the abundance of Firmicutes in cecal digesta was significantly lower in the BM and BG groups than in the control group. These results indicated that BM increased the concentration of total SCFAs in the distal colonic digesta. These changes might have been caused by fructan and resistant starch in addition to β-glucan. In conclusion, fermentable fibers in BM reached the distal colon and modified the microbiota, leading to an increase in the concentration of total SCFAs in the distal colonic digesta, more effectively compared with the high-β-glucan barley line (BG).

Introduction

Epidemiological studies have reported that the consumption of whole grain cereals may increase the bacterial fermentation of dietary fiber to short-chain fatty acids (SCFAs) which have anti-carcinogenic properties, and thereby reduce the risk of colonic disorders [13]. A recent systematic review concluded that high-fiber, whole grain cereals can improve bowel function [4]. Microbiota-accessible carbohydrates (MACs) found in dietary fiber were suggested to play a key role in shaping the microbial ecosystem in the gut [5]. That study showed that a diet low in such carbohydrates resulted in a progressive loss of microbiota diversity in gnotobiote mice inoculated by human microbiota. It has been demonstrated that the lack of dietary MACs reduces mucosal thickness of the distal colon, making it easy for intestinal microbes to invade the epithelium and increasing the colonic inflammatory state in mice [6]. Dysbiosis, which is defined as a disturbance of the normal functions of gut microbiota, can arise from several alterations to the microbiota including reduced bacterial diversity, an expansion of pathological bacteria, a change in the microbial composition, and a change in microbial functional capacity [7]. However, a recent systematic review and meta-analysis concluded that fiber intervention has no significant effect on the α-diversity of gut microbiota [8]. This discrepancy might have been caused by the different sources of dietary fiber used by the studies included in the review.

Soluble dietary fiber is expected to reduce the risk of dysbiosis via bacterial fermentation. The typical soluble fiber in whole grain foods is β-glucan. Barley β-glucans were shown to be easily fermented by the bacterial genera Bacteroides and Prevotella in an in vitro study [9]. We previously reported that the intake of high-β-glucan barley increased the abundance of Bacteroides as compared to β-glucan-free barley, whereas it decreased the abundance of Clostridium clusters in diet-induced obese mice [10]. Fructans, which include inulin in chicory and burdock, are also a class of fermentable dietary fibers that have been well studied and are clearly effective in stimulating the growth of health-promoting species belonging to the genera Bifidobacterium spp. and Lactobacillus spp. in humans [11]. On the other hand, insoluble dietary fibers such as cellulose have poor and slow fermentation characteristics [12]. However, resistant starch, which is an insoluble fiber, is well fermented in the colon [13]. Therefore, the fermentation of dietary fibers in the large intestine may be influenced by the chemical characteristics of the fiber, including sugar and linkage composition, and molecular size rather than whether it is soluble or insoluble [14].

A recent study reported that study participants fed BARLEYmax (BM) containing β-glucan, fructan, and resistant starch presented higher distal colonic output and defecation frequency than those who were fed the placebo cereal bar in a human study [15]. Intake of BM resulted in a significant increase in the production of SCFAs, an increase in the abundance of Bacteroides, and a decrease in the abundance of Clostridium subcluster XIVa [15]. The combination of multiple types of dietary fiber that have different fermentation rates has recently been a topic of interest. It was reported that a combination of several indigestible carbohydrates may affect both the profile of SCFAs produced by fermentation and the site of SCFA release in the rat hindgut [16]. It has been reported that β-glucans in barley have preventive effects on colonic disorders, and these are partially mediated by SCFA production [17]. Therefore, high-β-glucan barley such as BG is considered as more favorable for healthy colonic conditions compared with ordinary barley. On the other hand, BM contains three fermentable fibers, i.e., fructan, β-glucan, and resistant starch, that have different fermentation speeds. Therefore, two types of barley lines, BM and BG, were selected for the present study.

The purpose of the study was to investigate whether supplementation with BM, which contains several types of fermentable dietary fibers including fructan, β-glucan, and resistant starch, modifies the distal colonic microbiota more favorably than supplementation with BG, which contains a higher amount of β-glucan but lower amounts of fructan and resistant starch than BM. The fermentation speeds of fructans, β-glucans, and resistant starches are quite different. Fructans have the fastest fermentation speed and resistant starches have the slowest speed, while β-glucans have an intermediate speed. Stepwise fermentation of BM may cause SCFA production from the cecum to the distal colon. On the other hand, the major fermentable fiber in BG is β-glucan. We speculated that carbohydrate complexes of fructan, β-glucan, and resistant starch in BM are more widely fermented from the cecum to distal colon compared with β-glucan-dominant barley. To elucidate this hypothesis, we compared the fermentation characteristics between BM and BG from the cecum to the distal colon of Sprague-Dawley rats.

Materials and methods

Sample preparation and chemical analysis

BARLEYmax (Tantangara; BM) and BG012 (BG) were obtained from Teijin Limited (Tokyo, Japan). BM is a barley line developed by CSIRO (Commonwealth Scientific and Industrial Research Organisation) in Australia. BG is a high-β-glucan barley line that is a hulless, six-rowed, waxy endosperm barley [18]. This barley was selected from the cross of two varieties [18]. The total dietary fiber contents in BM and BG were analyzed by the method of Prosky et al. (AOAC 991.43) [19]. The β-glucan contents in BM and BG were measured by the method of McCleary et al. (AOAC 995.16) [20]. The fructan contents in BM and BG were analyzed using the method of AOAC 999.03 [21]. The resistant starch contents in BM and BG were analyzed using the method of AOAC 2002.02 [22]. The amounts of dietary fiber components in BM and BG are shown in Table 1. The nutrient components were analyzed by the Japan Food Research Laboratories (Tokyo, Japan). The amounts of total dietary fibers and β-glucan in BM were lower than those in BG, whereas the amounts of fructan and resistant starch were higher in BM than in BG. BM had a wider variation of dietary fiber components compared with BG. Other dietary fiber components in BG are considered to be arabinoxylan and cellulose which constitute the plant cell wall (the amounts of arabinoxylan and cellulose were not determined).

thumbnail
Table 1. Amounts of dietary fiber components in BARLEYmax and high-β-glucan barley (BG012).

https://doi.org/10.1371/journal.pone.0218118.t001

Animals and study design

Four-week-old Sprague–Dawley rats were purchased from Charles River Laboratories Japan, Inc. (Yokohama, Japan). The rats were individually housed in stainless steel wire cages. The room temperature and relative humidity were maintained at 23–26 °C and 40–60%, respectively, on a 12-h light/12-h dark cycle (the light was switched on at 08:00 h). This study was approved by the Otsuma Women’s University Animal Research Committee (Tokyo, Japan) and was performed in accordance with the Regulation on Animal Experimentation at Otsuma Women’s University. After acclimatization for 7 d, the rats were randomized to 3 groups (n = 8 per group) stratified by body weight and shifted to an AIN-93G-based experimental diet [23]. The control diet was supplemented with 5% cellulose. The BM and BG diets were supplemented with BM and BG powder each corresponding to 5% of total dietary fiber, respectively. The protein and fat contents in the BM and BG diets were adjusted with casein and soybean oil, respectively, to be the same as those in the control diet. The compositions of the experimental diets are shown in Table 2. Rats were fed the experimental diets ad libitum for 4 weeks. Food intake and body weight were monitored every day throughout the study period. The food efficiency ratio was calculated as the percentage of the ratio of body weight gain (g) per food intake (g).

Fresh distal colonic digesta (feces) were collected between 9:30 and 10:30 in the morning on day 26–27 of the study. At the end of the study, rats were euthanized by isoflurane/CO2 euthanasia without fasting. The cecum, proximal colon, and distal colon along with their digesta were dissected. The digesta in the cecum, digesta in the proximal colon, and digesta in the distal colon were collected and kept at −20 °C until analysis of SCFAs.

Short-chain fatty acids analysis in the cecal, proximal colonic, and distal colonic digesta

The concentration of SCFAs in the cecal, proximal colonic, and distal colonic digesta was determined by gas chromatography-mass spectrometry as described previously [24]. The cecal, proximal colonic, and distal colonic digesta (10 mg per sample) were disrupted using 5-mm stainless beads (AS ONE Corp., Osaka, Japan) and homogenized in extraction solution containing 100 μl of internal standard (100 μM crotonic acid), 50 μl of HCl, and 200 μl of ether. After vigorous shaking using a TissueLyser II (Qiagen, Hilden, Germany) at 2,000 rpm for 15 min, the homogenates were centrifuged at 1,000 x g at 25 °C for 10 min and then the top ether layer was collected and transferred into new glass vials. Aliquots (80 μl) of the ether extracts were mixed with 16 μl of N-tert-butyldimethylsilyl-N-methyltrifluoroacetamide. The vials were sealed tightly by screwing the cap, heated at 80 °C for 20 min in an incubator, and then left at room temperature for 48 h for derivatization. The derivatized samples were run through a 5977A GC/MS instrument (Agilent, Tokyo, Japan) fitted with a DB-5MS column (30 m × 0.53 mm) (Agilent). The initial oven temperature was held at 60 °C for 3 min, ramped to 120 °C at a rate of 5 °C/min and then to 300 °C at a rate of 20 °C/min, and finally held at 300 °C for 2 min. Helium was used as a carrier gas at a constant flow rate of 1.2 mL/min. The temperatures of the front inlet, transfer line, and electron impact ion source were set at 250, 260, and 230 °C, respectively. The mass spectral data were collected in selective ion monitoring mode. The concentrations of the SCFAs were quantified by comparing their peak areas with the internal standards and expressed as μmol/g of the digesta of the cecum, proximal colon, and distal colon.

Quantification of cecal and distal colonic microbiota by 16S rRNA sequencing

Total DNA in cecal and distal colonic digesta was extracted using a DNA stool kit (Qiagen, Hilden, Germany).

The V3–V4 region of the bacterial 16S rRNA was amplified from the DNA samples, and a library was constructed with two-step tailed polymerase chain reaction (PCR). Fragments of 16S rRNA were amplified from the DNA samples by PCR using 1st-341f_MIX (5′- Seq A—TCT TCC GAT CT—NNNNN—CCT ACG GGN GGC WGC AG -3′) [25] and 1st-805r_MIX (5′- Seq B—CTC TTC CGA TCT—NNNNN–GAC TAC HVG GGT ATC TAA TCC -3′) [26] primers, where Seq A and Seq B represent nucleotide sequences targeted by the second PCR primers. Then, randomized sequences of 0–5 bases were inserted into the mixed primers. PCR amplification was performed under the following conditions: denaturation at 94 °C for 30 s, annealing at 55° C for 30 s, and extension at 72° C for 30 s for 30–35 cycles. Fragments of the 16S rDNA PCR products were amplified again using additional PCR forward (5′- Adaptor C–Tag sequence—Seq A -3′) and reverse primers (5′- Adaptor D—Seq B -3′), where Adaptors C and D were used for the MiSeq sequencing reaction. The Tag sequence included 8 nucleotides designed for sample identification barcoding. Thermal cycling was performed under the following conditions: denaturation at 94 °C for 30 s, annealing at 60 °C for 30 s, and extension at 72 °C for 30 s for 10 cycles. PCR amplicons from each sample were used for high-throughput sequencing on a MiSeq Genome Sequencer (Illumina, San Diego, CA, USA). The obtained reads that had a quality value score of ≥ 20 and a length of >150 bases were extracted using the FASTX-Toolkit [27]. The paired-end reads were concatenated using a paired-end merge script, FLASH [28].

Next, chimeric sequences were deleted using the UCHIME algorithm of USEARCH [29]. In QIIME, the chimeric-filtered sequences were clustered into operational taxonomic units (OTUs) based on having >97% similarity with sequences in the Greengenes database [30]. The OTUs were tabulated on each taxonomic level from phylum to genus and their relative abundances were calculated using a workflow script in QIIME. The microbial α-diversity and β-diversity were calculated from the unweighted and weighted UniFrac distance matrixes using a script in QIIME. All of the above procedures were performed by Bioengineering Lab. Co., Ltd. (Kanagawa, Japan).

Statistical analysis

Data are expressed as mean ± standard error (SE). Differences among experimental dietary groups were analyzed by Tukey–Kramer’s or Steel–Dwass’s multiple comparison test. All statistical analyses were performed using JMP Pro (Version 13.0, SAS Institute Inc., Cary, NC, USA). In all analyses, a two-sided p-value <0.05 was considered significant.

Results

Food intake, body weight, and organ weights

There were no significant differences in final body weight, body weight gain, or food efficiency ratio among the three groups (Table 3). Food intake in the BM group was significantly lower than that in the control group, whereas there were no significant differences in food intake between the BG group and either of the other two groups. The weights of the cecal digesta of the rats fed the test diets are shown in Fig 1. The weight of the cecal digesta was significantly higher in the BM group than in the BG and control groups. The weight of the liver was not significantly different among the groups (data not shown).

thumbnail
Table 3. Final body weight, body weight gain, food intake, and food efficiency ratio of rats fed the test diets.

https://doi.org/10.1371/journal.pone.0218118.t003

thumbnail
Fig 1. Comparison of weight of cecal digesta in rats fed the test diets.

Bars represent the mean and standard error (SE). Means with different superscript letters differ significantly (Steel–Dwass test, p < 0.05). Control group, group fed the control diet; BM group, group fed the BARLEYmax diet; BG group, group fed the high-β-glucan barley diet.

https://doi.org/10.1371/journal.pone.0218118.g001

SCFA concentrations in the cecal, proximal colonic, and distal colonic digesta

The concentrations of SCFAs in the cecal digesta of the experimental rats are shown in Table 4. The concentrations of acetate, n-butyrate, and total SCFAs in the cecal digesta were significantly higher in the BM and BG groups than in the control group. The concentrations of SCFAs in the proximal and distal colonic digesta of the rats are shown in Table 5. There were no significant differences in the SCFA concentrations in the proximal colonic digesta among the three groups. The concentrations of acetate and total SCFAs in the distal colonic digesta of the rats were significantly higher only in the BM group than in the control group, whereas significant differences were not observed between the BG group and either of the two other groups. The proximal colonic digesta had the lowest quantities of SCFAs among the cecal, proximal colonic, and distal colonic digesta.

thumbnail
Table 4. Short-chain fatty acid (SCFA) concentrations in the cecal digesta of rats fed the test diets.

https://doi.org/10.1371/journal.pone.0218118.t004

thumbnail
Table 5. Short-chain fatty acid (SCFA) concentrations in proximal and distal colonic digesta of rats fed the test diets.

https://doi.org/10.1371/journal.pone.0218118.t005

Cecal and distal colonic microbiomes

The relative abundances of bacterial phyla in the cecal and distal colonic digesta of rats are shown in Table 6. The abundance of Bacteroidetes in cecal digesta was significantly higher in the BM group than in the control group, and tended to be higher in the BG group than in the control group (p = 0.06).

thumbnail
Table 6. Relative abundances of bacteria phyla in cecal and distal colonic digesta.

https://doi.org/10.1371/journal.pone.0218118.t006

In contrast, the abundance of Firmicutes in cecal digesta was significantly lower in the BM and BG groups than in the control group (Table 6). In distal colonic digesta, the abundance of Bacteroidetes was significantly higher in the BG group than in the control group, and tended to be higher in the BM group than in the control group (p = 0.07). The abundance of Firmicutes in distal colonic digesta was significantly lower in the BM and BG groups than in the control group. The abundance of Proteobacteria in distal colonic digesta was significantly higher in the BM and BG groups than in the control group. The abundance of Proteobacteria in cecal digesta was significantly higher in the BM group than in the BG group.

The relative abundances of selected bacterial genera in the cecal and distal colonic digesta of rats are shown in Table 7. The abundances of Bifidobacterium and Sutterella in the cecal and distal colonic digesta were significantly higher in the BM and BG groups than in the control group. The abundance of Ruminococcus in cecal digesta was significantly lower in the BG group than in the control group, and that in distal colonic digesta was significantly lower in the BM and BG groups than in the control group.

thumbnail
Table 7. Relative abundances of selected bacteria genera in cecal and distal colonic digesta from rats fed the test diets.

https://doi.org/10.1371/journal.pone.0218118.t007

The abundance of Parabacteroides in cecal digesta was significantly higher in the BM group than in the control group. The abundance of Oscillospira in distal colonic digesta was also significantly higher in the BM group than in the control group. In contrast, the abundances of Clostridium in the cecal and distal colonic digesta were significantly lower in the BM group than in the control group. Significant differences in the abundances of Clostridium in the cecal and distal colonic digesta between the BG and control groups were not observed. There were no significant differences in the abundances of other bacteria genera among the groups.

Comparisons of the diversity of microbiotas in the cecal and distal colonic digesta among the experimental groups are shown in Table 8. In the cecum, the phylogenetic diversity, observed number of OTUs, and Shannon index in the BM group were significantly lower than those in the BG group, and all indices of diversity of microbiota in the distal colonic digesta in the BM group were significantly lower than those in the BG group.

thumbnail
Table 8. Comparison of gut microbiota diversity between cecal and distal colonic digesta from rats fed the test diets.

https://doi.org/10.1371/journal.pone.0218118.t008

Discussion

We investigated whether supplementation with BM, which contains several types of fermentable dietary fibers including fructan, β-glucan, and resistant starch, modifies the distal colonic microbiota more favorably than supplementation with BG, which contains a high amount of β-glucan but lower amounts of fructan and resistant starch than BM.

A previous report showed the effects of the consumption of a diet containing Himalaya 292 (which contains 5% of neutral non-starch polysaccharides), which was the previous cultivar name of BM, on large bowel SCFAs in rats as compared with several other cereal products [31]. These data indicated that Himalaya 292 resulted in alterations in the concentrations of colonic SCFAs (mainly acetate) in rats compared with two hull-less standard barleys. This result was consistent with our results concerning the increase in the acetate concentration in distal colonic digesta. However, the β-glucan contents in the standard barleys used in the previous report [31] were not determined. Therefore, it is difficult to discuss the significance of fructan and resistant starch in BM. It has also been reported that Himalaya 292 [in which the fiber content as non-starch polysaccharide (NSP) was set at 7.5%] altered indices of large bowel fermentation in pigs [32]. These data suggested that the influences of BM on distal colonic and large bowel anaerobic, aerobic, coliform, and lactic acid bacteria were relatively small, indicating a lack of a specific prebiotic action. Another report indicated that the consumption of Himalaya 292-supplemented foods (total dietary fiber intake 44.7g/day) resulted in higher excretion of butyrate, higher distal colonic total SCFA excretion, and a lower fecal p-cresol concentration as compared with several refined cereal foods in humans [33]. These results were consistent with our results concerning the increase in the total SCFA concentrations in distal colonic digesta. However, previous reports did not compare BM and another high-β-glucan barley line. The effects of β-glucan or fructan and resistant starch on colonic SCFA production were unknown. Our data supported that several fermentable fibers in BM reached the distal colon and increased the concentration of total SCFAs in the digesta of the distal colon more so than those in β-glucan-rich BG.

It has been reported that combining wheat bran with resistant starch had more benefits than did wheat bran alone [34]. This finding may have important implications for the dietary modulation of luminal digesta, especially in the distal colon. Our data showed that the proximal colonic digesta had the lowest quantities of SCFAs among the digesta of the sites examined (i.e., the cecum, proximal colon, and distal colon). It was suggested that SCFAs might be absorbed at a faster rate in the proximal colon than in the distal colon and cecum [35,36]. In the proximal colon, no differences in SCFA concentrations were observed among the three experimental groups. In contrast, SCFA concentrations were higher in the distal colonic digesta of rats fed the BM diet as compared to the control diet. BM contains various fermentable fibers such as fructan, β-glucan, and resistant starch, which have different fermentation rates. Fructans are rapidly fermentable, whereas resistant starches are fermented slowly. The monophasic model described by Groot et al. [37] indicated several fermentation parameters in vitro with a pig fecal inoculum by using the cumulative gas production technique to examine the kinetics of fermentation after 48 h. The relative fermentation speed was expressed as the time at which half of the asymptotic value has been reached (h). The relative fermentation speeds of fructan, β-glucan, and resistant starch were 8.4, 17.7, and 35.3 h, respectively [38,39]. Therefore, fructans and β-glucans may be fermented mainly in the cecum, whereas resistant starches may be fermented in the distal colon.

The cecal and distal colonic abundances of Bacteroidetes were higher in the BM and BG groups than in the control group. By contrast, the abundance of Firmicutes was lower in the BM and BG groups than in the control group. Bacteroidetes and Firmicutes are the major bacterial phyla in the colonic microbiota. Our results indicated that the β-glucan in BM and BG increased the abundance of Bacteroidetes and decreased the abundance of Firmicutes. It has been reported that diets with high-fiber complex carbohydrates enrich the abundance of Bacteroidetes and reduce the abundance of Firmicutes in human adults [40]. These results may indicate that the increase in the abundance of Bacteroidetes is a microbial marker of complex carbohydrates such as BM and BG. It has been reported that the induction of secretory IgA, which helps to neutralize the toxins produced by microbes and prevents adherence of the microbiota to the intestinal lumen, appeared to be more efficient in the presence of Bacteroidetes [41]. Therefore, the effects of BM and BG in increasing the abundance of the phylum Bacteroidetes can be expected to be beneficial for preventing colonic disorders.

The abundances of Bifidobacterium in the cecal and distal colonic digesta were significantly higher in the BM and BG groups than in the control group. It has been reported that dietary supplementation with fibers particularly involving fructans and galacto-oligosaccharides, resulted in higher abundances of Bifidobacterium spp. and Lactobacillus spp. as well as an increased fecal butyrate concentration as compared with placebo/low-fiber-supplemented diet groups in healthy adults [8]. Our results supported that the β-glucan in BM and BG increased the abundance of Bifidobacterium. The increase in the cecal content of acetate that we observed could be partly explained by the increase in the abundance of Bifidobacterium in the BM and BG groups.

Concerning cecal and distal colonic microbial diversity, almost all diversity indices in the BM group were significantly lower than those in the BG group. It has been reported that consumption of 5 g/d low-molecular-weight β-glucan only impacted the β-diversity but the consumption of 3 g/d low-molecular-weight β-glucan failed to alter the β-diversity in a human study [42]. Diversity indices might be influenced by the amount of β-glucan in the diet. Further research is needed to explain the differences in diversity indices between the BM and BG groups.

The abundance of Parabacteroides in cecal digesta was significantly higher in the BM group than in the control group, whereas significant differences in the cecal abundance of Parabacteroides between the BG group and either of the other two groups were not observed. A previous report showed that a shift in the composition of the intestinal microbial community toward beneficial bacterial genera such as Parabacteroides was effective for reducing intestinal epithelial inflammation [43]. Parabacteroides spp. influence T-cell differentiation by enhancing and maintaining IL-10-producing Treg cells [44]. Therefore, the effect of BM in increasing the abundances of Parabacteroides can be expected to be beneficial for preventing colonic inflammation and enhancing intestinal immunological functions.

The abundance of Oscillospira in distal colonic digesta was significantly higher in the BM group than in the control group, whereas significant differences in the cecal abundance of Oscillospira between the BG group and either of the other two groups were not observed. Oscillospira is an under-studied anaerobic bacterial genus from Clostridial cluster IV that has resisted cultivation for over a decade since it was first observed [45]. Very little is known about its metabolism and physiology. However, recent reports inferred that Oscillospira spp. are butyrate producers [44]. In the present study, the observed increase in the concentration of n-butyrate in distal colonic digesta might have been partly caused by the increase in the abundance of Oscillospira.

The abundances of Sutterella in the cecal and distal colonic digesta were significantly higher in the BM and BG groups than in the control group. The abundance of Sutterella in the cecal content was also significantly higher in the BM group than in the BG group. Sutterella is a genus belonging to the phylum Proteobacteria and has the characteristics of gram-negative, non-spore-forming rods [46]. Significant increases in the cecal and distal colonic abundances of Proteobacteria might be due to the increase in the abundances of Sutterella. Sutterella spp. are notably resistant to human bile acids, which may account for their survival in the biliary tract and bowel. The butyrate-producing ability of Sutterella is less clear [47]. Furthermore, Sutterella spp. promote a protective immunoregulatory profile in vitro [48]. The effects of BM in increasing the abundances of Sutterella may be expected to be beneficial for the host’s intestinal conditions, and this possibility needs to be investigated by further studies.

Our results indicated that both BM and BG increased the concentrations of acetate and n-butyrate in cecal digesta and the abundance of Bifidobacterium in cecal and distal colonic digesta. These changes were considered to be due to β-glucan fermentation. The BM diet increased the concentration of total SCFAs in cecal digesta and the concentrations of acetate and total SCFAs in the distal colonic digesta. These changes may have been caused by the fructan and resistant starch in addition to β-glucan in BM. In conclusion, fermentable dietary fibers in BM reached the distal colon and modified the microbiota from the cecum to the distal colon, leading to an increase in the concentration of total SCFAs in the distal colon contents, more effectively compared with the high-β-glucan barley line (BG).

References

  1. 1. Ma Y, Hu M, Zhou L, Ling S, Li Y, Kong B, et al. Dietary fiber intake and risks of proximal and distal colon cancers: A meta-analysis. Medicine. 2018;97: e11678. pmid:30200062
  2. 2. Kritchevsky D. Epidemiology of fibre, resistant starch and colorectal cancer. Eur J Cancer Prev. 1995;4:345–352. pmid:7496322
  3. 3. Giovannucci E. Willett WC. Dietary factors and risk of colon cancer. Ann Med. 1994;26:443–452. pmid:7695871
  4. 4. Williams PG. The benefits of breakfast cereal consumption: A systematic review of the evidence base. Adv Nutr. 2014;5:636S–673S. pmid:25225349
  5. 5. Sonnenburg ED, Smits SA, Tikhonov M, Higginbottom SK, Wingreen NS, Sonnenburg JL. Diet-induced extinctions in the gut microbiota compound over generations. Nature. 2016;529: 212–215. pmid:26762459
  6. 6. Earle KA, Billings G, Sigal M, Lichtman JS, Hansson GC, Elias JE, et al. Quantitative imaging of gut microbiota spatial organization. Cell Host Microbe. 2015;18: 478–488. pmid:26439864
  7. 7. Petersen C, Round JL. Defining dysbiosis and its influence on host immunity and disease. Cell Microbiol. 2014;16: 1024–1033. pmid:24798552
  8. 8. So D, Whelan K, Rossi M, Morrison M, Holtmann G, Kelly JT, et al. Dietary fiber intervention on gut microbiota composition in healthy adults: a systematic review and meta-analysis. Am J Clin Nutr. 2018;107: 965–983. pmid:29757343
  9. 9. Hughes SA, Shewry PR, Gibson GR, McCleary BV, Rastall RA. In vitro fermentation of oat and barley derived β-glucans by human faecal microbiota. FEMS Microbiol Ecol. 2008;64: 482–493. pmid:18430007
  10. 10. Aoe S., Ichinose Y, Kohyama N, Komae K, Takahashi A, Yoshioka T, et al. Effects of β-glucan content and pearling of barley in diet-induced obese mice. Cereal Chem. 2017;94: 956–962.
  11. 11. Cani PD, and Delzenne NM. The Role of the Gut Microbiota in Energy Metabolism and Metabolic Disease. Current Pharmaceutical Design. 2009;15:1546–1558. pmid:19442172
  12. 12. Sunvold GD, Hussein HS, Fahey GC Jr, Merchen NR, Reinhart GA. In vitro fermentation of cellulose, beet pulp, citrus pulp, and citrus pectin using fecal inoculum from cats, dogs, horses, humans, and pigs and ruminal fluid from cattle. J Anim Sci. 1995;73:3639–3648. pmid:8655439
  13. 13. Higgins JA. Resistant starch and energy balance: impact on weight loss and maintenance. Crit Rev Food Sci Nutr. 2014; 54: 1158–1166. pmid:24499148
  14. 14. Jonathan MC, van den Borne JJGC, van Wiechen P, da Silva CS, Schols HA, Gruppen H. In vitro fermentation of 12 dietary fibres by faecal inoculum from pigs and humans. Food Chemistry. 2012;133: 889–897.
  15. 15. Nishimura A, Kitazono E, Imose K, Urita S, Matsui T. Effect of functional barley BARLEYmax (Tantangara) on intestinal regulation: A double-blind, randomized, placebo-controlled parallel group comparison clinical study. Jpn Pharmacol Ther. 2017;45: 1047–1055.
  16. 16. Henningsson AM, Björck IM, Nyman EM. Combinations of indigestible carbohydrates affect short-chain fatty acid formation in the hindgut of rats. J Nutr. 2002;132: 3098–3104. pmid:12368401
  17. 17. Jayachandran M, Chen J, Chung SSM, Xu B. A critical review on the impacts of β-glucans on gut microbiota and human health. J Nutr Biochem. 2018;61:101–110. pmid:30196242
  18. 18. http://washingtoncrop.com/documents/Barley/6-Row/BG012.pdf
  19. 19. Lee SC, Rodriguez F, Storey M, Farmakalidis E, Prosky L. Determination of soluble and insoluble dietary fiber in psyllium containing cereal products. J AOAC Int. 1995;78:724–729. pmid:7756888
  20. 20. McCleary BV, Codd R. Measurement of 1–3,1-4-ᴅ-glucan in barley and oats: A streamlined enzymic procedure. J Sci Food Agric. 1991;55:303–312.
  21. 21. McCleary BV, Murphy A, Mugford DC. Measurement of total fructan in foods by enzymatic/spectrophotometric method: collaborative study. J AOAC Int. 2000;83: 356–364. pmid:10772173
  22. 22. McCleary BV. Monaghan DA. Measurement of resistant starch. J AOAC Int. 2002;85: 665–675. pmid:12083259
  23. 23. Reeves PG. Nielsen FH. Fahey GC Jr. AIN-93 purified diets for laboratory rodents: final report of the American Institute of Nutrition ad hoc writing committee on the reformulation of the AIN-76A rodent diet. J Nutr. 1993;123:1939–1951. pmid:8229312
  24. 24. Atarashi K, Tanoue T, Oshima K, Suda W, Nagano Y, Nishikawa H. et al. Treg induction by a rationally selected mixture of Clostridia strains from the human microbiota. Nature. 2013;500: 232–236. pmid:23842501
  25. 25. Muyzer G, de Waal EC, Uitterlinden AG. Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA. Appl Environ Microbiol. 1993;59: 695–700. pmid:7683183
  26. 26. Herlemann DP, Labrenz M, Jürgens K, Bertilsson S, Waniek JJ, Andersson AF. Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea. ISME J. 2011;5: 1571–1579. pmid:21472016
  27. 27. http://hannonlab.cshl.edu/fastx_toolkit/
  28. 28. https://ccb.jhu.edu/software/FLASH/FLASH-reprint.pdf
  29. 29. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010;7: 335–336. pmid:20383131
  30. 30. http://greengenes.secondgenome.com/
  31. 31. Bird AR, Flory C, Davies DA, Usher S, Topping DL. A novel barley cultivar (Himalaya 292) with a specific gene mutation in starch synthase IIa raises large bowel starch and short-chain fatty acids in rats. J Nutr. 2004;134: 831–835. pmid:15051833
  32. 32. Bird AR, Jackson M, King RA, Davies DA, Usher S, Topping DL. A novel high-amylose barley cultivar (Hordeum vulgare var. Himalaya 292) lowers plasma cholesterol and alters indices of large-bowel fermentation in pigs. Br J Nutr. 2004;92: 607–615. pmid:15522129
  33. 33. Bird A, Vuaran MS, King RA, Noakes M, Keogh J, Morell MK, et al. Wholegrain foods made from a novel high-amylose barley variety (Himalaya 292) improve indices of bowel health in human subjects. Br J Nutr. 2008;99: 1032–1040. pmid:17919346
  34. 34. Henningsson AM, Björck IM, Nyman EM. Combinations of indigestible carbohydrates affect short-chain fatty acid formation in the hindgut of rats. J Nutr. 2002;132: 3098–3104. pmid:12368401
  35. 35. Topping DL, Clifton PM. Short-chain fatty acids and human colonic function: roles of resistant starch and nonstarch polysaccharides. Physiol Rev. 2001;81: 1031–1064. pmid:11427691
  36. 36. Macfarlane GT, Gibson GR, Cummings JH. Comparison of fermentation reactions in different regions of the human colon. J Appl Bacteriol. 1992;72: 57–64. pmid:1541601
  37. 37. Groot JCJ, Cone JW, Williams BA, Debersaques FMA, Lantinga EA. Multiphasic analysis of gas production kinetics for in vitro fermentation of ruminant feeds. Anim Feed Sci Technol. 1996;64: 77–89.
  38. 38. Souza da Silva C, Bolhuis JE, Gerrits WJ, Kemp B, van den Borne . Effects of dietary fibers with different fermentation characteristics on feeding motivation in adult female pigs. Physiol Behav. 2013;110–111: 148–157. pmid:23313406
  39. 39. Williams BS, Mikkelsen D, Paih L, Gidley MJ. In vitro fermentation kinetics and end-products of cereal arabinoxylans and (1,3;1,4)-β-glucans by porcine faeces. J Cereal Sci. 2011;53: 53–58.
  40. 40. Davenport ER, Mizrahi-Man O, Michelini K, Barreiro LB, Ober C, Gilad Y. Seasonal variation in human gut microbiome composition. PLoS One. 2014;9(3):e90731 pmid:24618913
  41. 41. Mantis NJ, Rol N, Corthésy B. Secretory IgA’s complex roles in immunity and mucosal homeostasis in the gut. Mucosal Immunol. 2011;4: 603–611. pmid:21975936
  42. 42. Wang Y, Ames NP, Tun HM, Tosh SM, Jones PJ, Khafipour E. High Molecular Weight Barley β-Glucan Alters Gut Microbiota Toward Reduced Cardiovascular Disease Risk. Front Microbiol. 2016;7:129. pmid:26904005
  43. 43. Ohland CL, Macnaughton WK. Probiotic bacteria and intestinal epithelial barrier function. Am J Physiol Gastrointest Liver Physiol. 2010;298: G807–G819. pmid:20299599
  44. 44. Arpaia N, Campbell C, Fan X, Dikiy S, van der Veeken J, deRoos P, et al. Metabolites produced by commensal bacteria promote peripheral regulatory T-cell generation. Nature 2013;504: 451–455. pmid:24226773
  45. 45. Gophna U, Konikoff T, Nielsen HB. Oscillospira and related bacteria-From metagenomic species to metabolic features. Environ Microbiol. 2017;19: 835–841. pmid:28028921
  46. 46. Wexler HM. Genus VIII. Sutterella. In: Brenner DJ, Krieg NR, Staley JT, editors. Bergley’s Manual of Systematic Bacteriology. Berlin: Springer 2005. pp. 682–683.
  47. 47. Carlier JP, Marchandin H, Jumas-Bilak E, Lorin V, Henry C, Carrière C, et al. Anaeroglobus geminatus gen. nov., sp. nov., a novel member of the family Veillonellaceae. Int J Syst Evol Micr. 2002;52: 983–986. pmid:12054267
  48. 48. Berer K, Gerdes LA, Cekanaviciute E, Jia X, Xiao L, Xia Z, et al. Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice. Proc Natl Acad Sci USA. 2017;114: 10719–10724. pmid:28893994