Abstract
Dietary carbohydrates impact the composition of the human gut microbiota. However, the relationship between carbohydrate availability for individual bacteria and their growth in the intestinal environment remains unclear. Here, we show that the availability of long-chain xylans (LCX), one of the most abundant dietary fibres in the human diet, promotes the growth of Bifidobacterium pseudocatenulatum in the adult human gut. Genomic and phenotypic analyses revealed that the availability of LCX-derived oligosaccharides is a fundamental feature of B. pseudocatenulatum, and that some but not all strains possessing the endo-1,4-β-xylanase (BpXyn10A) gene grow on LCX by cleaving the xylose backbone. The BpXyn10A gene, likely acquired by horizontal transfer, was incorporated into the gene cluster for LCX-derived oligosaccharide utilisation. Co-culturing with xylanolytic Bacteroides spp. demonstrated that LCX-utilising strains are more competitive than LCX non-utilising strains even when LCX-derived oligosaccharides were supplied. In LCX-rich dietary interventions in adult humans, levels of endogenous B. pseudocatenulatum increased only when BpXyn10A was detected, indicating that LCX availability is a fitness determinant in the human gut. Our findings highlight the enhanced intestinal adaptability of bifidobacteria via polysaccharide utilisation, and provide a cornerstone for systematic manipulation of the intestinal microbiota through dietary intervention using key enzymes that degrade polysaccharide as biomarkers.
Subject terms: Bacterial genomics, Microbial ecology, Bacterial evolution
Introduction
The human gut microbiota (HGM) and host health are interconnected in various manners [1]. Dietary glycan is a major nutrient for the HGM and significantly affects its composition [2]. One feasible strategy for manipulating the HGM is dietary intervention using indigestible carbohydrates that selectively increase endogenous health-promoting microorganisms [3]. Therefore, understanding glycan metabolic ability of specific HGM species could contribute to establishing a systematic means of manipulating gut microbiota. The HGM possesses a wide variety of carbohydrate-active enzymes (CAZymes) used to break down carbohydrates [4, 5], indicating that carbohydrate availability plays an important role in microbiota adaptation to the intestinal environment. Although specific carbohydrate availability influences niche acquisition in the gut of animal models and human infants [6–8], the relationship between carbohydrate availability for individual types of bacteria and their growth remains obscure in the adult human gut, the complex bacterial composition of which widely varies among individuals [9].
Bifidobacteria, which belong to the phylum Actinobacteria, represent one of the core constituents of the HGM [10]. The genus Bifidobacterium is characterised by an abundance of genes related to carbohydrate metabolism [11]; thus, glycan metabolism is thought to be important for their adaptation to the intestinal environment [12]. Beyond some uncharacterised species such as B. pseudocatenulatum, glycan availability of the major HGM bifidobacterial species has been actively investigated. Infant-dominant taxa (e.g., B. breve, B. bifidum and B. longum subsp. infantis) can utilise human milk oligosaccharides (HMO) [13–15], whereas adult-dominant taxa (e.g., B. adolescentis and B. longum subsp. longum) can utilise plant-derived polysaccharides, including starch and the degradation products of long-chain xylans (LCX) [16, 17].
LCX are primary components of various plant cell walls, and are the typical indigestible polysaccharides found in the human diet [18]. LCX consists of a β-1,4-bonded xylose backbone with decorations such as arabinose. In the HGM, a limited number of species of Bacteroidetes and Firmicutes have been known to hydrolyse LCX [19], and the respective degradation mechanisms have been elucidated in detail [20, 21]. Endo-1,4-β-xylanase, belonging to the glycoside hydrolase (GH) 10 family, is a key enzyme that extracellularly cleaves the xylose backbone of LCX, which allows oligosaccharide transporters to take up degradation products such as xylooligosaccharides (XOS) [20, 21]. Parts of short-chain oligosaccharides are released during this process into the extracellular milieu, where they are metabolised by other intestinal bacteria [20, 22]. Therefore, a food web of LCX degradation functions in the human gut, and HGM species with endo-1,4-β-xylanase are generally classified as primary degraders that metabolise LCX and secondary consumers that can only metabolise LCX degradation products.
Bifidobacteria are considered secondary LCX consumers because a strain that can cleave the xylose backbone has not been identified, but several strains can utilise LCX-derived oligosaccharides [22, 23]. However, in this study, we found that some strains of B. pseudocatenulatum, an adult-dominant species [10, 24, 25] whose carbohydrate utilisation has not been thoroughly investigated, possess endo-1,4-β-xylanase and could be primary degraders of LCX. Our data revealed the genetic background and ecological significance of a previously overlooked phenotype of bifidobacteria. Furthermore, we confirmed via dietary intervention that LCX availability affects the growth of B. pseudocatenulatum in the adult human intestine.
Materials and methods
Genome sequencing
We sequenced the genomes of 35 strains of B. pseudocatenulatum (Supplementary Table S1). These strains were isolated at the Yakult Central Institute and the species were identified based on the 16S rRNA gene sequence analysis. These strains have been isolated in the course of various studies over the past few decades, including many studies on infants and adults. B. pseudocatenulatum cultures were anaerobically incubated in modified Gifu anaerobic medium (Nissui Pharmaceutical, Tokyo, Japan) supplemented with lactose and glucose (both 0.5% wt/vol) at 37 °C for 16 h. These culture conditions were applied throughout the study unless stated otherwise. The detailed procedures for genomic DNA extraction, library preparation for MiSeq (Illumina, San Diego, CA, USA), MinION (Oxford Nanopore Technologies, Oxford, UK) and PacBio RS2 (Pacific Biosciences, Menlo Park, CA, USA), and sequencing are described in the Supplementary Methods.
Genome assembly, gene prediction and pangenome analysis
We used Unicycler [26] with default parameters for both short-read and hybrid assembly, and Prokka [27] with default parameters for annotating the reconstructed genomes and those downloaded from the RefSeq database. The annotated genomes were then processed with Roary [28] with a default gene identity cut-off parameter of 95% for species level pangenome analysis. A representative sequence from each gene cluster was translated into a protein sequence, and CAZymes were identified using the dbCAN2 server [29]. Proteins were considered CAZymes if they were identified using HMMER, DIAMOND and Hotpep with default parameters. We then built a CAZyme gene distribution matrix (Supplementary Table S2) based on the gene presence-absence table determined using Roary.
Carbohydrate utilisation assays
Strains of B. pseudocatenulatum were cultured until they reached the exponential phase, centrifuged, and then, the resulting pellets were suspended to an OD600 of 0.2 in modified peptone yeast extract (PY) medium (100 mM PIPES, pH 6.7, 2 g/L peptone, 2 g/L BBL trypticase peptone, 2 g/L bacto-yeast extract, 8 mg/L CaCl2, 19.2 mg/L MgSO4 ∙ 7H2O, 80 mg/L NaCl, 4.9 mg/L hemin, 0.5 g/L L-cysteine hydrochloride and 100 ng/L vitamin K1). These suspension cultures were inoculated (1% vol/vol) into modified PY medium supplemented with 0.5% (wt/vol) XOS (Xylo-Oligo95P, B Food Science, Aichi, Japan) (PY-XOS), wheat arabinoxylan (Megazyme, Bray, Ireland) (PY-AX) or beechwood xylan (Sigma-Aldrich, Darmstadt, Germany) (PY-XY) and covered with sterile mineral oil (50 μL) to prevent evaporation. Growth was monitored anaerobically by measuring the OD600 using a PowerWave 340 plate reader (BioTek, Winooski, VT, USA) every 30 min in an anaerobic chamber for 48 h. The organic acids produced in PY-XY were analysed using high-pressure liquid chromatography as described [8].
Cloning, expression and purification of recombinant BpXyn10A
The GH10 domain of the BpXyn10A gene was amplified by PCR using the primers xynA-GH-F (5’-CATCATCATCATCATGCGGAAGGCGACGCCGTA-3’) and xynA-GH-R (5’-AGCAGAGATTACCTAATCCTTGAATGCGTTCATGC-3’), with the genomic DNA of YIT 11027 as a template. A linearised vector was synthesised by PCR using primers pColdII-F (5’-GTAATCTCTGCTTAAAAGCACAGAATCTA-3’) and pColdII-R (5’-ATGATGATGATGATGATGCACTTTGT-3’), and the pColdII vector (Takara Bio, Otsu, Japan) as a template. These fragments were ligated using In-Fusion HD Cloning Kits (Takara Bio, Otsu, Japan), resulting in pColdII-xynA. Escherichia coli BL21 was transformed with pColdII-xynA and cultured to express recombinant BpXyn10A as described by the manufacturer. Bacterial cells were harvested by centrifugation and lysed with B-PER Bacterial Cell Lysis Reagent (Thermo Fisher Scientific, Waltham, MA, USA) containing lysozyme at 100 µg/mL and 10 U/mL of DNase I. Recombinant BpXyn10A was further purified using Ni-NTA Spin Column (Qiagen, Hilden, Germany) and analysed by SDS-PAGE.
Endo-xylanase activity assay
B. pseudocatenulatum YIT 11027, YIT 11952 and YIT 4072T cells were grown anaerobically in PY-AX or PY-XOS medium for 16 h. Cultures (1.5 mL) were centrifuged (8000× g for 2 min at room temperature); then, supernatants were sterilised by passage through a 0.22-μm filter. Pelleted cells were washed with modified PY medium and resuspended in 1.5 mL of the same medium. The endo-xylanase activity of the supernatant and the cell fractions were assayed using Xylanase Assay kits (XylX6 method) (Megazyme, Bray, Ireland) as described by the manufacturer. According to the manufacturer, this kit is designed to specifically detect only endo-xylanase activity, and not xylosidase or exo-xylanase enzyme activity.
Purified BpXyn10A-added culture
B. pseudocatenulatum YIT 4072T and Ba. ovatus YIT 6161T cells were cultured anaerobically until they reached the exponential phase. Thereafter, cultures (200 μL) were centrifuged (8000× g for 2 min at room temperature), then pelleted cells were resuspended in modified PY medium (500 μL), and inoculated (1% vol/vol) into PY-AX medium supplemented with 0, 10, 100 and 1000 ng/mL purified recombinant BpXyn10A. Growth was monitored anaerobically by measuring the OD600 using the PowerWave 340 plate reader.
RNA-seq analysis
B. pseudocatenulatum YIT 11952 was cultured in modified PY medium supplemented with 0.5% (wt/vol) lactose, xylose, XOS, beechwood xylan or arabinoxylan and harvested at mid- to late-log phase. The detailed procedures for total RNA extraction, rRNA removal and sequencing using MiSeq are described in the Supplementary Methods. We obtained a total of 23 million paired-end reads. Low-quality bases (average quality <30) were trimmed off at the 3’, and the resulting reads with N bases, or <70 bp long, were filtered out using cutadapt [30]. Ribosomal RNA reads were removed using SortMeRNA [31]. Filtered reads were then mapped to the complete genome sequence of B. pseudocatenulatum YIT 11952 using Bowtie2 [32], and read counts of each gene were determined with featureCounts [33]. The expression levels of each gene were quantified as transcripts per million calculated using Microsoft Excel 2013.
Batch co-cultures of B. pseudocatenulatum and Ba. ovatus
The 36 strains of B. pseudocatenulatum and Ba. ovatus YIT 6161T were separately grown before co-culture. Cells harvested at the mid- to late-log phase were resuspended in modified PY medium adjusted to an OD600 of 0.2 (B. pseudocatenulatum strains; equivalent to 1 × 108.4–9.0 cells/mL) or 0.02 (Ba. ovatus, equivalent to 1 × 108.7–9.0 cells/mL) so that the numbers of cells were similar. Equal amounts of each suspension were inoculated at 2% (vol/vol) into the PY-AX medium. After 48 h of anaerobic co-culture, DNA was extracted using the beads-phenol method as described above. Each sample was analysed by quantitative PCR using an AB7500 real-time qPCR system (Thermo Fisher Scientific, Waltham, MA, USA) to determine cell numbers with specific primers for B. pseudocatenulatum (BiCATg-1: 5’-CGGATGCTCCGACTCCT-3’ and BiCATg-2: 5’-CGAAGGCTTGCTCCCGAT-3’) [10] and Ba. ovatus (g-Bfra-f: 5’-ATAGCCTTTCGAAAGRAAGAT-3’ and g-Bfra-r: 5’-CCAGTATCAACTGCAATTTTA-3’) [34], respectively.
Co-culture time-series experiment between B. pseudocatenulatum and B. longum subsp. longum
B. pseudocatenulatum YIT 11952 and B. longum subsp. longum H11-1 (isolated from an infant) were separately grown before co-culture. Cells harvested at the mid- to late-log phase were resuspended in modified PY medium adjusted to an OD600 of 0.2. Equal amounts (2% vol/vol) of each suspension were inoculated into 500 μL of PY-AX medium. After 0, 8, 24 and 48 h of anaerobic co-culture, DNA was extracted from subsamples (50 μL) for quantitative real-time PCR using specific primers for B. pseudocatenulatum (BiCATg-1 and BiCATg-2) and B. longum subsp. longum (BiLON-1: 5’-TTCCAGTTGATCGCATGGTC-3’ and BiLON-2: 5’-GGGAAGCCGTATCTCTACGA-3’) [10] using the ABI PRISM 7500 PCR system to determine cell numbers.
Cereal intervention
Experimental design
This study was approved by the ethical committee of the Yakult Central Institute, in accordance with the committee guidelines and the Declaration of Helsinki (2013). This study is registered at UMIN Clinical Trials Registry (number UMIN 000043680). Written informed consent was obtained from 30 Japanese adult participants to participate in this study. Three participants who were prescribed with medications during the experimental period were excluded from data analysis. The experiment was completed by 27 (19 males and 8 females) participants aged 28–65 years who consumed 30 g of All Bran Original wheat bran-rich cereal (Kellogg Japan, Tokyo, Japan) with 180 mL of Accadi lactose-digested milk (Megmilk Snow Brand, Tokyo, Japan) once in the morning and once in the afternoon daily. According to the manufacturer, 60 g of cereal provided approximately 6.6 g of wheat bran arabinoxylan per day. Because almost the entire Japanese population has the genotype for low lactase activity [35], we used 80% lactose-depleted milk according to the manufacturer to minimise the effect of lactose on the growth of Bifidobacterium independently of cereal consumption. The experiment comprised pre-intervention (days 1–7), intervention (days 8–14) and post-intervention (days 15–21) periods. Throughout the 21 days of the experiment, the participants were instructed to refrain from consuming fermented milk containing bifidobacteria, prebiotic products and foods rich in LCX, such as other bran-rich cereal, whole grain or brown rice.
Faecal samples were collected on days 4, 7, 11, 14, 18 and 21. To reduce daily individual variations, we averaged the results of individual samples from each period. On days without defecation, faecal samples were collected the next day. If no defecation occurred on days 7, 14 or 21, the previous period was extended until a faecal sample was collected. None of the participants skipped the regime for more than 2 days. Faecal samples collected immediately after defecation were placed in sterile tubes, kept on ice and then stored at −80 °C. Thereafter, DNA was extracted from ten-fold diluted faecal samples using the beads-phenol method as described above.
Quantitation of B. pseudocatenulatum in faecal samples
B. pseudocatenulatum cells were quantified using real-time PCR with a BiCATg primer that targets the 16S rRNA gene. This primer set has been confirmed to be specific for B. pseudocatenulatum and B. catenulatum and it does not react non-specifically with other bifidobacteria [10]. Although this primer set detects both B. pseudocatenulatum and B. catenulatum [10], we regarded the measured value as that of only B. pseudocatenulatum because none of the participants had amplicon sequence variants (ASVs) close to B. catenulatum in the 16S rRNA gene amplicon analysis described below. The PCR mixture (20 μL total volume) contained 1 × TB Green Premix Ex Taq II (Takara Bio, Otsu, Japan), 0.2 μM of each primer and 2 μL of template DNA. The thermocycling conditions used were 94 °C for 10 s, followed by 40 cycles of 94 °C for 20 s, 55 °C for 20 s and 72 °C for 50 s, then a melting-curve programme. Amplification was performed using the ABI PRISM 7500 Real-Time PCR System. For absolute quantification, a standard curve was calculated using a ten-fold dilution series of DNA extracted from the B. pseudocatenulatum strain with BpXyn10A, for which cell numbers were determined. The detection limit for this system was 5.0 × 104 cells/g faeces.
Quantification of cells with BpXyn10A in faecal samples
The numbers of cells with BpXyn10A were quantified by real-time PCR with BpXyn10A gene-targeted oligonucleotide primers. To design specific primers, we used the sequences of all BpXyn10A genes and their homologues obtained from an NCBI blastn search, aligned them, and detected the specific region of the BpXyn10A gene. Then, we designed pBpXyn10A-F (5’-CGAGAATGCGAACACGTACTTC-3’) and pBpXyn10A-R (5’-CTGCTCGGTGTTGTAATCGTTG-3’), which provided a 94 bp amplicon. Using Primer-BLAST [36], we confirmed that there were no non-specific sequences that could be amplified in the sequences registered in the NCBI nr database. Furthermore, we performed PCR using DNA from the B. pseudocatenulatum 35 strains used in our study, and confirmed that specific amplification products were obtained only from strains with the BpXyn10A gene. The PCR mixture (20 μL total volume) contained 1 × TB Green Premix Ex Taq II (Takara Bio, Otsu, Japan), 0.4 μM of each primer and 2 μL of template DNA. The thermocycling conditions used were 95 °C for 30 s, followed by 40 cycles of 95 °C for 5 s and 60 °C for 34 s, and a melting-curve programme. Amplification was performed using the ABI PRISM 7500 Real-Time PCR System.
16S rRNA gene amplicon analysis
The V1–2 regions of the 16S rRNA gene were amplified. Primer sequence, PCR conditions and details on library preparation are described in the Supplementary Methods. Pooled amplicons were sequenced using the MiSeq platform with the MiSeq reagent kit v2 500 cycle. Obtained reads were analysed using the QIIME2-2020.8 platform [37]. Briefly, the sequence data were denoised using DADA2, and the resulting ASVs were assigned taxonomy in QIIME2 using the SILVA138 database. Alpha-diversity (observed_features, faith_pd and Shannon_index) and beta-diversity (unweighted UniFrac) were analysed using QIIME2. Homology of the ASVs was also analysed using vsearch with the 16S RefSeq nucleotide sequence records to determine the closest species. To analyse species level trends, we grouped ASVs with >97% homology to closely related species as a single species. No ASVs were more closely related to B. catenulatum than to B. pseudocatenulatum.
Statistics
Data were statistically analysed using GraphPad Prism 7.0 (GraphPad Software, San Diego, CA, USA). Average CAZyme gene copy numbers of each species in the genome, amounts of organic acids produced in PY-XY medium and numbers of cells with and without BpXyn10A in the co-culture experiments were compared using Mann–Whitney U tests. The effects of the presence or absence of Bacteroides species on the growth of B. pseudocatenulatum in co-culture experiments, and the increase or decrease of each bacterial species in the cereal intervention study were verified using Wilcoxon signed-rank tests.
Results
Composition of B. pseudocatenulatum CAZymes
To understand the characteristics of carbohydrate utilisation of B. pseudocatenulatum within the genus Bifidobacterium, we determined draft or complete genomes of 35 isolates of this species (Supplementary Table S1). We then integrated these genomes with 451 publicly available genomes of the major HGM bifidobacteria and compared repertoires of CAZyme genes (Fig. 1 and Supplementary Table S2). We calculated the average number of gene copies for each species and identified ten CAZyme genes that were characteristically abundant in B. pseudocatenulatum (Fig. 1). Five of them contained enzymes that were involved in bacterial xylan degradation [38]. Among these, the following three GH families contained enzymes that degrade the xylose backbone of XOS in bifidobacteria: GH43 (xylosidase) [39], GH8 (exo-oligoxylanase) [40] and GH120 (xylosidase) [41]. The two remaining GH families (GH10 and GH146) have not been verified in bifidobacteria; however, GH10 reportedly contains endo-1,4-β-xylanase, which is a key enzyme for LCX degradation in HGM xylanolytic species [42]. Therefore, the availability of oligosaccharides derived from LCX and LCX assimilation might be characteristic phenotypes of B. pseudocatenulatum. Conversely, genes encoding CAZymes for HMO utilisation [43] such as GH29 and GH95 (fucosidase), GH33 (sialidase) and GH112 (galacto-N-biose/lacto-N-biose I phosphorylase) were detected in only a few B. pseudocatenulatum strains. These data suggest that B. pseudocatenulatum has adapted to the environment of the adult human gut, especially those with a diet rich in LCX.
LCX-related carbohydrate utilisation by B. pseudocatenulatum
We examined the availability of LCX-related carbohydrates in 35 isolates and the type strain of B. pseudocatenulatum. All 36 strains grew on a mixture of short-chain XOS (degree of polymerisation, 2–4), indicating that XOS availability is a universal feature of this species (Fig. 2a). Of the 36 strains, 12 could utilise arabinoxylan, a representative LCX (Fig. 2b). Furthermore, the strains that utilised arabinoxylan grew on xylan (Fig. 2c). Although the turbidity of several other strains gradually increased, only these 12 strains produced substantial amounts of organic acids (Fig. 2c), indicating that xylan availability was clearly distinguished between these 12 and other strains. The availability of LCX was completely consistent with the presence of the GH10 gene (Fig. 2d). The GH10 proteins detected in our isolates had 99–100% amino acid sequence similarity among each other. To confirm the enzymatic activity, we prepared a recombinant GH10 domain protein and mixed it with three types of LCX. Because of the accumulation of short-chain oligosaccharides (Fig. 2e), and because all known enzymatic activities in the GH10 family are endo-type (http://www.cazy.org/GH10.html), the enzyme was identified as endo-1,4-β-xylanase, which we named BpXyn10A. This enzyme contains a GH10 catalytic domain, a carbohydrate-binding module family 9 (CBM9) domain and transmembrane regions (Fig. 2f). Since transmembrane regions were detected, BpXyn10A was expected to be associated with the membrane, and localise to the cell surface, similar to other HGM xylanolytic species [20, 21]. However, enzyme activity was detected not only on the cell surface but also in the filtered culture supernatant (Fig. 2g). Adding purified recombinant BpXyn10A allowed a non-LCX-utilising strain to grow on LCX (Fig. 2h). Therefore, LCX availability is determined by the BpXyn10A gene in the B. pseudocatenulatum genome.
Genetic background of LCX utilisation
We analysed the genomic locus of the BpXyn10A gene to clarify the genetic background of the LCX-utilising strain. The BpXyn10A gene in all LCX-utilising B. pseudocatenulatum strains was located in the arabinoxylan-hydrolysate (AXH) utilisation gene cluster II, which is one of the gene clusters the expression of which is induced by AXH [39] (Fig. 3a). The BpXyn10A gene was adjacent to the transposase gene in all LCX-utilising strains. These genes were not detected in any other genomic regions of B. pseudocatenulatum. Considering that the horizontal transfer of a single transposase gene together with an adjacent gene between bifidobacteria strains in vitro has been confirmed [44], the BpXyn10A gene might have been horizontally transferred along with a transposase from another taxon. A homology search of public databases showed that the BpXyn10A was more homologous to proteins in other species of bifidobacteria (maximum, 86.41%) and non-HGM Actinobacteria (maximum, 47.55%) than those detected in Bacteroidetes (maximum, 32.95%) and Firmicutes (maximum, 35.29%) (Supplementary Table S3). These findings indicated that the origin of BpXyn10A is within the phylum Actinobacteria, but not Bacteroidetes or Firmicutes. However, no genomes with both BpXyn10A and transposase genes were found in the database; thus, the acquisition source of these genes remains unclear. In phylogenetic tree analysis, strains with BpXyn10A did not form a single cluster but rather were spread out (Fig. 3b), suggesting that the BpXyn10A gene was not acquired in a single horizontal transfer event in the past, but may have been acquired at multiple occasions from different genetic sources.
Expression control of BpXyn10A
In order to assess possible transcriptional regulation of the BpXyn10A gene, we performed RNA-seq on the LCX-utilising strain cultured with LCX-associated carbohydrates. The expression of BpXyn10A and its surrounding genes was upregulated in the presence of xylose, XOS, xylan and arabinoxylan in B. pseudocatenulatum (Fig. 4a and Supplementary Table S4). A common feature among known HGM xylanolytic bacteria is that intact LCX induces the expression of endo-1,4-β-xylanase [20, 21]. The unique feature of B. pseudocatenulatum was that xylose, a monosaccharide, also functions as an induction substrate. The expression induced by LCX-associated carbohydrates was similar to that of the AXH utilisation gene cluster II (Fig. 4a), indicating that this cluster acquired the BpXyn10A gene without disrupting its original gene regulation. Furthermore, two other AXH utilisation gene clusters were upregulated by LCX (Supplementary Fig. S1). Based on the present and previous findings [39], we propose a model for LCX utilisation by B. pseudocatenulatum, in which BpXyn10A cleaves the xylan backbone and then, resulting oligosaccharides are taken up and further degraded by the AXH utilisation system (Fig. 4b).
Impact of BpXyn10A on interspecies interaction
To assess the effect of BpXyn10A on interspecies interactions, we performed co-culture experiments on medium supplemented with arabinoxylan as the only carbohydrate source. Similar to previous findings of non-LCX-utilising Bifidobacterium species [20], the growth of strains without BpXyn10A was stimulated by co-culture with Bacteroides ovatus, an established HGM xylanolytic species [20], whereas that of strains with BpXyn10A was not (Fig. 5a). The cell numbers of strains with BpXyn10A in co-cultures were higher than those of the strains without BpXyn10A (Fig. 5a), indicating that BpXyn10A provided an ecological advantage even in environments where coexisting bacteria supplied breakdown products. In contrast to B. pseudocatenulatum, the numbers of Ba. ovatus cells decreased when co-cultured with B. pseudocatenulatum strains with BpXyn10A rather than without this enzyme (Fig. 5b). Furthermore, adding purified recombinant BpXyn10A reduced the numbers of Ba. ovatus cells (Supplementary Fig. S2). Because the expression of xylanase in Bacteroidetes spp. is induced by long-chain XOS but not by short-chain XOS [45], the decreased number of Ba. ovatus can be explained by a reduced degree of xylose backbone polymerisation by BpXyn10A, resulting in a decreased expression of the xylanase. We then examined whether a strain with BpXyn10A produces a growth substrate for other non-LCX-utilising bifidobacteria. The results of co-culture on arabinoxylan showed that the strain with BpXyn10A promoted the growth of B. longum subsp. longum strain H11-1, which utilised XOS but not arabinoxylan (Fig. 5c). Furthermore, we confirmed that the LCX-utilising strain released short-chain oligosaccharides from LCX into the culture supernatant (Supplementary Fig. S3). These results indicate that strains with BpXyn10A promote the growth of other secondary LCX consumers by releasing breakdown products. Therefore, the presence of the BpXyn10A gene in the genome defined whether the B. pseudocatenulatum strain would act as a keystone species or a recipient of LCX-derived oligosaccharides, and potentially affected the growth of other direct and indirect LCX-degrading microorganisms in the HGM.
Ecological role of BpXyn10A in the human intestine
Based on the findings of our co-culture experiments, we speculated that supplementation with LCX would increase the population of B. pseudocatenulatum cells with BpXyn10A in the human intestine. B. pseudocatenulatum has been detected in most Japanese adults [10, 24], and about one-third of our isolates from Japanese adults possesses BpXyn10A (Fig. 2d). Therefore, we assumed that some Japanese individuals harbour B. pseudocatenulatum cells with BpXyn10A and others harbour those without BpXyn10A. Under this assumption, we provided Japanese adults with commercially available LCX-rich cereal food made mainly from wheat bran, then compared the behaviour of B. pseudocatenulatum cells using qPCR (Fig. 6a). As expected, 10 out of 27 participants (37%) possess B. pseudocatenulatum cells with BpXyn10A (BpXyn10A+ group), 10 (37%) possess B. pseudocatenulatum cells without it (BpXyn10A– group) and 7 (26%) possess no detectable B. pseudocatenulatum (Bp– group) (Fig. 6b). The number of cells with BpXyn10A in the BpXyn10A+ group ranged from 1 × 105.9 to 1 × 109.7/g faeces (Fig. 6b). The number of cells with BpXyn10A increased during the intervention in all participants (Fig. 6b). Furthermore, the total number of B. pseudocatenulatum cells (regardless of the presence and absence of BpXyn10A) significantly increased during the intervention in the BpXyn10A+, but not in the BpXyn10A– group (Fig. 6b). These findings indicate that BpXyn10A defines the growth potential of B. pseudocatenulatum in LCX-rich intestinal environments.
We then applied 16S rRNA gene amplicon analysis to determine the impact of BpXyn10A on the composition of HGM. Alpha- and beta-diversity significantly differed between the three groups (Fig. 6c, d and Supplementary Fig. S4a). In particular, the BpXyn10A+ and BpXyn10A– groups differed not only during, but also before the intervention, suggesting that BpXyn10A affected the HGM composition even at the level of LCX supplied in a regular daily diet. The responses of the Bifidobacterium genus to the intervention obviously differed among the three groups, with an increase of relative abundance only in the BpXyn10A+ group (Fig. 6b and Supplementary Fig. S4b). This mainly resulted from the increase of B. pseudocatenulatum, and no changes were evident in other bifidobacterial species such as B. longum or B. adolescentis (Supplementary Fig. S5). The relative abundance of the representative LCX-utilising genera Bacteroides and Roseburia in the HGM did not significantly increase in either the BpXyn10A+ or BpXyn10A– groups (Supplementary Fig. S5). In summary, the ability of BpXyn10A to promote or inhibit the growth of other bacterial species, such as those found in co-cultures in vitro, was limited in the complex human gut environment. Nevertheless, the results of the 16S rRNA gene amplicon analysis showed that BpXyn10A affected the growth potential of B. pseudocatenulatum.
Discussion
This study showed that LCX availability is essential to promote adaptation of Bifidobacterium pseudocatenulatum in the adult human gut. In infants, HMO availability is known to be a key colonisation factor for bifidobacteria [8], and in adults, LCX availability contributes to niche expansion of the representative adult-dominant species B. pseudocatenulatum. This finding extends our understanding of the adaptive strategy of bifidobacteria to the human gut environment. In addition, our findings provide new insights into the food web of LCX degradation in HGM.
We showed that bifidobacteria, which are considered secondary LCX consumers, behave as primary degraders if they possess the BpXyn10A gene. To the best of our knowledge, the present study is the first to show that HGM organisms other than Bacteroidetes and Firmicutes possess key enzymes for LCX degradation. This leads to the question as to whether LCX metabolism is a characteristic only of B. pseudocatenulatum among bifidobacteria. At present, B. pseudocatenulatum is the only species expressing biochemically confirmed endo-1,4-β-xylanase in the Bifidobacterium genus. Conversely, a BpXyn10A homologue was also identified in a few strains of other species of HGM Bifidobacterium (Supplementary Table S3). These findings suggested that the availability of LCX by HGM Bifidobacterium may have been overlooked in previous studies.
The BpXyn10A gene was integrated into the AXH utilisation gene cluster II (Figs. 3a and 4a), which contains genes related to the uptake and further degradation of oligosaccharides produced by BpXyn10A, indicating that AXH utilisation gene cluster II has evolved into an LCX-utilisation gene cluster. Because the LCX-utilisation gene cluster was induced by xylose or XOS (Fig. 4a), horizontal transfer of the BpXyn10A gene generated an LCX-utilisation gene cluster with the regulatory mechanisms for secondary consumers. Because xylose and XOS are products of BpXyn10A enzymatic activity (Fig. 2e and Supplementary Fig. S3), the LCX-utilisation gene cluster of B. pseudocatenulatum can be regarded as having a positive feedback regulation mechanism. This is a feature that is not found in other known LCX-utilisation gene clusters of xylanolytic HGM species, in which intact LCX is the inducible substrate but not low-molecule carbohydrates such as xylose [21, 46, 47]. Having a positive feedback regulation mechanism might explain the obvious increase in B. pseudocatenulatum cells with BpXyn10A during the LCX-rich dietary intervention, even though other representative xylanolytic genera in HGM did not significantly increase.
We showed that BpXyn10A contributes to increasing numbers of B. pseudocatenulatum cells in vitro (Fig. 5) and in the human intestine (Fig. 6). A previous study found that LCX availability is a core fitness determinant in the Bacteroides species in mice fed with a high-plant polysaccharide or purified arabinoxylan diet [7]. These findings indicate that LCX availability is a pivotal feature common to different bacterial species among various host gut environments. Therefore, it is reasonable to assume that there is positive selection pressure for BpXyn10A and that strains with this enzyme will become predominant among the isolates. Nevertheless, strains with BpXyn10A accounts for only ~33% of our isolates. This discrepancy might be related to the release of BpXyn10A into the extracellular milieu, where LCX degradation products can be shared by cells producing the enzyme and secondary consumers. Therefore, when an intestinal environment includes cells with BpXyn10A, negative selection pressure on cells without BpXyn10A might be reduced. Compared with the membrane-bound endo-1,4-β-xylanase of other HGM xylanolytic species, free BpXyn10A is more altruistic, especially for secondary LCX consumers.
Although intact LCX has not been considered a substrate for bifidobacteria in the human intestine [22], we found that LCX could be a substrate for the growth of bifidobacteria in the gut of people with detectable BpXyn10A. Furthermore, during cereal intervention, the number of B. pseudocatenulatum cells with BpXyn10A increased in the entire BpXyn10A+ group (Fig. 6b). These findings suggest that the BpXyn10A in faecal samples serve as an accurate biomarker to predict responders, in whom the cell numbers of B. pseudocatenulatum would increase under LCX-rich food intervention. Non-responders might also become responders by consuming live B. pseudocatenulatum with BpXyn10A. These possibilities provide a framework that could guide intestinal bifidobacteria recalibration to gain health benefits. In particular, the selective growth of B. pseudocatenulatum may contribute to the alleviation of type 2 diabetes [48]. Our study paves the way for systematic manipulation of the intestinal microbiota through dietary intervention using key polysaccharide degradative enzymes as biomarkers.
Supplementary information
Acknowledgements
We thank Hoshitaka Matsumoto and Toshio Sasai (Yakult Central Institute) for providing technical support, and Professor Ken Kurokawa (National Institute of Genetics) for critical review of this manuscript.
Author contributions
YW and TM conceived and designed the overall study. YW, TH and YS performed genome analysis. YW, TH and YA-S performed carbohydrate availability analysis. YS generated the recombinant protein. YW performed transcriptome analysis. YW performed the co-culture experiments. YW and TM designed and managed the LCX-rich food intervention trials. YW, YS, TH, NT, KY, TK and KO performed faecal manipulations. YW and TH performed 16S amplicon analysis. YW performed real-time PCR analysis. YW prepared figure illustrations. YW and TM wrote the manuscript. SM supervised this work. All authors reviewed and approved the manuscript. Correspondence should be addressed to YW and TM.
Data availability
Sequence data that support the findings of this study have been deposited at GenBank and Sequence Read Archive under BioProject accession no. PRJNA745059. The authors declare that all other data supporting the findings of this study are available within the article and its supplementary information files, or from the corresponding author upon request.
Competing interests
This work was funded by the Yakult Central Institute. The funder provided support in the form of salaries for all authors, but did not have any additional role in the study design, data collection and analysis or preparation of the manuscript. Yakult Central Institute is the owner of a patent application based on some of the results presented, which names YW, YS, TH, YA-S and TM as inventors.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Yohei Watanabe, Email: yohei-watanabe@yakult.co.jp.
Takahiro Matsuki, Email: takahiro-matsuki@yakult.co.jp.
Supplementary information
The online version contains supplementary material available at 10.1038/s43705-021-00066-4.
References
- 1.Clemente JC, Ursell LK, Parfrey LW, Knight R. The impact of the gut microbiota on human health: an integrative view. Cell. 2012;148:1258–70. doi: 10.1016/j.cell.2012.01.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Koropatkin NM, Cameron EA, Martens EC. How glycan metabolism shapes the human gut microbiota. Nat Rev Microbiol. 2012;10:323–35. doi: 10.1038/nrmicro2746. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Schrezenmeir J, de Vrese M. Probiotics, prebiotics, and synbiotics—approaching a definition. Am J Clin Nutr. 2001;73:361s–4s. doi: 10.1093/ajcn/73.2.361s. [DOI] [PubMed] [Google Scholar]
- 4.Kaoutari AE, Armougom F, Gordon JI, Raoult D, Henrissat B. The abundance and variety of carbohydrate-active enzymes in the human gut microbiota. Nat Rev Microbiol. 2013;11:497–504. doi: 10.1038/nrmicro3050. [DOI] [PubMed] [Google Scholar]
- 5.Flint HJ, Scott KP, Duncan SH, Louis P, Forano E. Microbial degradation of complex carbohydrates in the gut. Gut Microbes. 2012;3:289–306. doi: 10.4161/gmic.19897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Shepherd ES, DeLoache WC, Pruss KM, Whitaker WR, Sonnenburg JL. An exclusive metabolic niche enables strain engraftment in the gut microbiota. Nature. 2018;557:434–8. doi: 10.1038/s41586-018-0092-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Wu M, McNulty NP, Rodionov DA, Khoroshkin MS, Griffin NW, Cheng J, et al. Genetic determinants of in vivo fitness and diet responsiveness in multiple human gut Bacteroides. Science. 2015;350:aac5992. doi: 10.1126/science.aac5992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Matsuki T, Yahagi K, Mori H, Matsumoto H, Hara T, Tajima S, et al. A key genetic factor for fucosyllactose utilization affects infant gut microbiota development. Nat Commun. 2016;7:11939. doi: 10.1038/ncomms11939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.The Human Microbiome Project Consortium. Structure, function and diversity of the healthy human microbiome. Nature. 2012;486:207–14. doi: 10.1038/nature11234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Matsuki T, Watanabe K, Tanaka R, Fukuda M, Oyaizu H. Distribution of bifidobacterial species in human intestinal microflora examined with 16S rRNA-gene-targeted species-specific primers. Appl Environ Microbiol. 1999;65:4506–12. doi: 10.1128/AEM.65.10.4506-4512.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Milani C, Lugli GA, Duranti S, Turroni F, Bottacini F, Mangifesta M, et al. Genomic encyclopedia of type strains of the genus Bifidobacterium. Appl Environ Microbiol. 2014;80:6290–302. doi: 10.1128/AEM.02308-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Milani C, Turroni F, Duranti S, Lugli GA, Mancabelli L, Ferrario C, et al. Genomics of the genus Bifidobacterium reveals species-specific adaptation to the glycan-rich gut environment. Appl Environ Microbiol. 2016;82:980–91. doi: 10.1128/AEM.03500-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Sela DA, Chapman J, Adeuya A, Kim JH, Chen F, Whitehead TR, et al. The genome sequence of Bifidobacterium longum subsp. infantis reveals adaptations for milk utilization within the infant microbiome. Proc Natl Acad Sci USA. 2008;105:18964–9. doi: 10.1073/pnas.0809584105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Duranti S, Milani C, Lugli GA, Turroni F, Mancabelli L, Sanchez B, et al. Insights from genomes of representatives of the human gut commensal Bifidobacterium bifidum. Environ Microbiol. 2015;17:2515–31. doi: 10.1111/1462-2920.12743. [DOI] [PubMed] [Google Scholar]
- 15.Bottacini F, Morrissey R, Esteban-Torres M, James K, van Breen J, Dikareva E, et al. Comparative genomics and genotype-phenotype associations in Bifidobacterium breve. Sci Rep. 2018;8:10633. doi: 10.1038/s41598-018-28919-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Arboleya S, Bottacini F, O'Connell-Motherway M, Ryan CA, Ross RP, van Sinderen D, et al. Gene-trait matching across the Bifidobacterium longum pan-genome reveals considerable diversity in carbohydrate catabolism among human infant strains. BMC Genomics. 2018;19:33. doi: 10.1186/s12864-017-4388-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Duranti S, Milani C, Lugli GA, Mancabelli L, Turroni F, Ferrario C, et al. Evaluation of genetic diversity among strains of the human gut commensal Bifidobacterium adolescentis. Sci Rep. 2016;6:23971. doi: 10.1038/srep23971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Collins HM, Burton RA, Topping DL, Liao ML, Bacic A, Fincher GB. REVIEW: variability in fine structures of noncellulosic cell wall polysaccharides from cereal grains: potential importance in human health and nutrition. Cereal Chem J. 2010;87:272–82. doi: 10.1094/CCHEM-87-4-0272. [DOI] [Google Scholar]
- 19.Chassard C, Goumy V, Leclerc M, Del’homme C, Bernalier-Donadille A. Characterization of the xylan-degrading microbial community from human faeces. FEMS Microbiol Ecol. 2007;61:121–31. doi: 10.1111/j.1574-6941.2007.00314.x. [DOI] [PubMed] [Google Scholar]
- 20.Rogowski A, Briggs JA, Mortimer JC, Tryfona T, Terrapon N, Lowe EC, et al. Glycan complexity dictates microbial resource allocation in the large intestine. Nat Commun. 2015;6:7481. doi: 10.1038/ncomms8481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Leth ML, Ejby M, Workman C, Ewald DA, Pedersen SS, Sternberg C, et al. Differential bacterial capture and transport preferences facilitate co-growth on dietary xylan in the human gut. Nat Microbiol. 2018;3:570–80.. doi: 10.1038/s41564-018-0132-8. [DOI] [PubMed] [Google Scholar]
- 22.Broekaert WF, Courtin CM, Verbeke K, Van de Wiele T, Verstraete W, Delcour JA. Prebiotic and other health-related effects of cereal-derived arabinoxylans, arabinoxylan-oligosaccharides, and xylooligosaccharides. Crit Rev Food Sci Nutr. 2011;51:178–94. doi: 10.1080/10408390903044768. [DOI] [PubMed] [Google Scholar]
- 23.Ndeh D, Gilbert HJ. Biochemistry of complex glycan depolymerisation by the human gut microbiota. FEMS Microbiol Rev. 2018;42:146–64.. doi: 10.1093/femsre/fuy002. [DOI] [PubMed] [Google Scholar]
- 24.Nishijima S, Suda W, Oshima K, Kim SW, Hirose Y, Morita H, et al. The gut microbiome of healthy Japanese and its microbial and functional uniqueness. DNA Res. 2016;23:125–33. doi: 10.1093/dnares/dsw002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Matsuki T, Watanabe K, Fujimoto J, Kado Y, Takada T, Matsumoto K, et al. Quantitative PCR with 16S rRNA-gene-targeted species-specific primers for analysis of human intestinal bifidobacteria. Appl Environ Microbiol. 2004;70:167–73. doi: 10.1128/AEM.70.1.167-173.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Wick RR, Judd LM, Gorrie CL, Holt KE. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLOS Comput Biol. 2017;13:e1005595. doi: 10.1371/journal.pcbi.1005595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–9. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
- 28.Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S, Holden MT, et al. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics. 2015;31:3691–3. doi: 10.1093/bioinformatics/btv421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Yin Y, Mao X, Yang J, Chen X, Mao F, Xu Y. dbCAN: a web resource for automated carbohydrate-active enzyme annotation. Nucleic Acids Res. 2012;40:W445–51. doi: 10.1093/nar/gks479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Martin M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal. 2011;17:10–2. doi: 10.14806/ej.17.1.200. [DOI] [Google Scholar]
- 31.Kopylova E, Noé L, Touzet H. SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data. Bioinformatics. 2012;28:3211–7. doi: 10.1093/bioinformatics/bts611. [DOI] [PubMed] [Google Scholar]
- 32.Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9:357–9. doi: 10.1038/nmeth.1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014;30:923–30. doi: 10.1093/bioinformatics/btt656. [DOI] [PubMed] [Google Scholar]
- 34.Matsuki T, Watanabe K, Fujimoto J, Miyamoto Y, Takada T, Matsumoto K, et al. Development of 16S rRNA-gene-targeted group-specific primers for the detection and identification of predominant bacteria in human feces. Appl Environ Microbiol. 2002;68:5445–51. doi: 10.1128/AEM.68.11.5445-5451.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Kato K, Ishida S, Tanaka M, Mitsuyama E, Xiao JZ, Odamaki T. Association between functional lactase variants and a high abundance of Bifidobacterium in the gut of healthy Japanese people. PLoS One. 2018;13:e0206189. doi: 10.1371/journal.pone.0206189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics. 2012;13:134. doi: 10.1186/1471-2105-13-134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.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. doi: 10.1038/s41587-019-0209-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Verma, D., Kumar, R. & Satyanarayana, T. Diversity in xylan-degrading prokaryotes and xylanolytic enzymes and their bioprospects. In: Microbial diversity in ecosystem sustainability and biotechnological applications: volume 2. Soil & agroecosystems. (eds Satyanarayana, T., Das, S. K. & Johri, B. N.) pp 325–373 (Springer, Singapore, 2019).
- 39.Saito Y, Shigehisa A, Watanabe Y, Tsukuda N, Moriyama-Ohara K, Hara T, et al. Multiple transporters and glycoside hydrolases are involved in arabinoxylan-derived oligosaccharide utilization in Bifidobacterium pseudocatenulatum. Appl Environ Microbiol. 2020;86:e01782–20. doi: 10.1128/AEM.01782-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Lagaert S, Van Campenhout S, Pollet A, Bourgois TM, Delcour JA, Courtin CM, et al. Recombinant expression and characterization of a reducing-end xylose-releasing exo-oligoxylanase from Bifidobacterium adolescentis. Appl Environ Microbiol. 2007;73:5374–7. doi: 10.1128/AEM.00722-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Lagaert S, Pollet A, Delcour JA, Lavigne R, Courtin CM, Volckaert G. Characterization of two β-xylosidases from Bifidobacterium adolescentis and their contribution to the hydrolysis of prebiotic xylooligosaccharides. Appl Microbiol Biotechnol. 2011;92:1179–85. doi: 10.1007/s00253-011-3396-y. [DOI] [PubMed] [Google Scholar]
- 42.Kulkarni N, Shendye A, Rao M. Molecular and biotechnological aspects of xylanases. FEMS Microbiol Rev. 1999;23:411–56. doi: 10.1111/j.1574-6976.1999.tb00407.x. [DOI] [PubMed] [Google Scholar]
- 43.Kitaoka M. Bifidobacterial enzymes involved in the metabolism of human milk oligosaccharides. Adv Nutr. 2012;3:422S–429S. doi: 10.3945/an.111.001420. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Kazimierczak KA, Flint HJ, Scott KP. Comparative analysis of sequences flanking tet(W) resistance genes in multiple species of gut bacteria. Antimicrob Agents Chemother. 2006;50:2632–9. doi: 10.1128/AAC.01587-05. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Miyazaki K, Hirase T, Kojima Y, Flint HJ. Medium- to large-sized xylo-oligosaccharides are responsible for xylanase induction in Prevotella bryantii B14. Microbiology. 2005;151:4121–5. doi: 10.1099/mic.0.28270-0. [DOI] [PubMed] [Google Scholar]
- 46.Despres J, Forano E, Lepercq P, Comtet-Marre S, Jubelin G, Chambon C, et al. Xylan degradation by the human gut Bacteroides xylanisolvens XB1AT involves two distinct gene clusters that are linked at the transcriptional level. BMC Genomics. 2016;17:326. doi: 10.1186/s12864-016-2680-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Zhang M, Chekan JR, Dodd D, Hong PY, Radlinski L, Revindran V, et al. Xylan utilization in human gut commensal bacteria is orchestrated by unique modular organization of polysaccharide-degrading enzymes. Proc Natl Acad Sci USA. 2014;111:E3708–17. doi: 10.1073/pnas.1406156111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Zhao L, Zhang F, Ding X, Wu G, Lam YY, Wang X, et al. Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes. Science. 2018;359:1151–6. doi: 10.1126/science.aao5774. [DOI] [PubMed] [Google Scholar]
- 49.Ohtsubo Y, Ikeda-Ohtsubo W, Nagata Y, Tsuda M. GenomeMatcher: a graphical user interface for DNA sequence comparison. BMC Bioinformatics. 2008;9:376. doi: 10.1186/1471-2105-9-376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Price MN, Dehal PS, Arkin AP. FastTree: computing large minimum evolution trees with profiles instead of a distance matrix. Mol Biol Evol. 2009;26:1641–50. doi: 10.1093/molbev/msp077. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Sequence data that support the findings of this study have been deposited at GenBank and Sequence Read Archive under BioProject accession no. PRJNA745059. The authors declare that all other data supporting the findings of this study are available within the article and its supplementary information files, or from the corresponding author upon request.