Phenotypic and genomic diversification in complex carbohydrate degrading human gut bacteria

Symbiotic bacteria are responsible for the majority of complex carbohydrate digestion in the human colon. Since the identities and amounts of dietary polysaccharides directly impact the gut microbiota, determining which microorganisms consume specific nutrients is central to defining the relationship between diet and gut microbial ecology. Using a custom phenotyping array, we determined carbohydrate utilization profiles for 354 members of the Bacteroidetes, a dominant saccharolytic phylum. There was wide variation in the numbers and types of substrates degraded by individual bacteria, but phenotype-based clustering grouped members of the same species indicating that each species performs characteristic roles. The ability to utilize dietary polysaccharides and endogenous mucin glycans was negatively correlated, suggesting exclusion between these niches. By analyzing related Bacteroides ovatus/xylanisolvens strains that vary in their ability to utilize mucin glycans, we addressed whether gene clusters that confer this complex, multi-locus trait are being gained or lost in individual strains. Pangenome reconstruction of these strains revealed a remarkably mosaic architecture in which genes involved in polysaccharide metabolism are highly variable and bioinformatics data provide evidence of interspecies gene transfer that might explain this genomic heterogeneity. Global transcriptomic analyses suggest that the ability to utilize mucin has been lost in some lineages of B. ovatus and B. xylanisolvens, which still harbor residual gene clusters that are involved in mucin utilization by strains that still actively express this phenotype. Our data provide insight into the breadth and complexity of carbohydrate metabolism in the microbiome and the underlying genomic events that shape these behaviors.

[1]  Ryan D. Crawford,et al.  cognac: rapid generation of concatenated gene alignments for phylogenetic inference from large, bacterial whole genome sequencing datasets , 2021, BMC Bioinformatics.

[2]  T. Schmidt,et al.  Extensive transfer of genes for edible seaweed digestion from marine to human gut bacteria , 2020, bioRxiv.

[3]  H. Brumer,et al.  Synergy between Cell Surface Glycosidases and Glycan-Binding Proteins Dictates the Utilization of Specific Beta(1,3)-Glucans by Human Gut Bacteroides , 2020, mBio.

[4]  P. Bork,et al.  Nutritional preferences of human gut bacteria reveal their metabolic idiosyncrasies , 2018, Nature Microbiology.

[5]  Vincent Lombard,et al.  PULDB: the expanded database of Polysaccharide Utilization Loci , 2017, Nucleic Acids Res..

[6]  K. Tang,et al.  Novel large-scale chromosomal transfer in Bacteroides fragilis contributes to its pan-genome and rapid environmental adaptation , 2017, Microbial genomics.

[7]  H. Brumer,et al.  Molecular Mechanism by which Prominent Human Gut Bacteroidetes Utilize Mixed-Linkage Beta-Glucans, Major Health-Promoting Cereal Polysaccharides. , 2017, Cell reports.

[8]  E. Martens,et al.  The Critical Roles of Polysaccharides in Gut Microbial Ecology and Physiology. , 2017, Annual review of microbiology.

[9]  P. Wilmes,et al.  A Dietary Fiber-Deprived Gut Microbiota Degrades the Colonic Mucus Barrier and Enhances Pathogen Susceptibility , 2016, Cell.

[10]  C. Robert,et al.  Culture of previously uncultured members of the human gut microbiota by culturomics , 2016, Nature Microbiology.

[11]  Jan P. Meier-Kolthoff,et al.  Correction: Corrigendum: The Mouse Intestinal Bacterial Collection (miBC) provides host-specific insight into cultured diversity and functional potential of the gut microbiota , 2016, Nature Microbiology.

[12]  Chang H. Kim,et al.  Gut Microbial Metabolites Fuel Host Antibody Responses. , 2016, Cell host & microbe.

[13]  Jan P. Meier-Kolthoff,et al.  The Mouse Intestinal Bacterial Collection (miBC) provides host-specific insight into cultured diversity and functional potential of the gut microbiota , 2016, Nature Microbiology.

[14]  H. Stålbrand,et al.  A β‐mannan utilization locus in Bacteroides ovatus involves a GH36 α‐galactosidase active on galactomannans , 2016, FEBS letters.

[15]  Bernard Henrissat,et al.  Xylan degradation by the human gut Bacteroides xylanisolvens XB1AT involves two distinct gene clusters that are linked at the transcriptional level , 2016, BMC Genomics.

[16]  Nitin Kumar,et al.  Culturing of ‘unculturable’ human microbiota reveals novel taxa and extensive sporulation , 2016, Nature.

[17]  Mikhail Tikhonov,et al.  Diet-induced extinction in the gut microbiota compounds over generations , 2015, Nature.

[18]  David A. Mills,et al.  Symbiotic Human Gut Bacteria with Variable Metabolic Priorities for Host Mucosal Glycans , 2015, mBio.

[19]  P. Allen,et al.  Colitogenic Bacteroides thetaiotaomicron Antigens Access Host Immune Cells in a Sulfatase-Dependent Manner via Outer Membrane Vesicles. , 2015, Cell host & microbe.

[20]  H. Brumer,et al.  The devil lies in the details: how variations in polysaccharide fine-structure impact the physiology and evolution of gut microbes. , 2014, Journal of molecular biology.

[21]  J. Sonnenburg,et al.  Starving our microbial self: the deleterious consequences of a diet deficient in microbiota-accessible carbohydrates. , 2014, Cell metabolism.

[22]  H. Brumer,et al.  A discrete genetic locus confers xyloglucan metabolism in select human gut Bacteroidetes , 2014, Nature.

[23]  V. Ganapathy,et al.  Transporters and receptors for short-chain fatty acids as the molecular link between colonic bacteria and the host. , 2013, Current opinion in pharmacology.

[24]  W. Garrett,et al.  The Microbial Metabolites, Short-Chain Fatty Acids, Regulate Colonic Treg Cell Homeostasis , 2013, Science.

[25]  Bernard Henrissat,et al.  Effects of Diet on Resource Utilization by a Model Human Gut Microbiota Containing Bacteroides cellulosilyticus WH2, a Symbiont with an Extensive Glycobiome , 2013, PLoS biology.

[26]  Bernard Henrissat,et al.  The abundance and variety of carbohydrate-active enzymes in the human gut microbiota , 2013, Nature Reviews Microbiology.

[27]  C. Philippe,et al.  Bacteroides thetaiotaomicron and Faecalibacterium prausnitzii influence the production of mucus glycans and the development of goblet cells in the colonic epithelium of a gnotobiotic model rodent , 2013, BMC Biology.

[28]  A. Boraston,et al.  Bacteria of the human gut microbiome catabolize red seaweed glycans with carbohydrate-active enzyme updates from extrinsic microbes , 2012, Proceedings of the National Academy of Sciences.

[29]  Katharina T. Huber,et al.  ape 3.0: New tools for distance-based phylogenetics and evolutionary analysis in R , 2012, Bioinform..

[30]  H. Flint,et al.  Microbial degradation of complex carbohydrates in the gut , 2012, Gut microbes.

[31]  E. Martens,et al.  How glycan metabolism shapes the human gut microbiota , 2012, Nature Reviews Microbiology.

[32]  Bernard Henrissat,et al.  Recognition and Degradation of Plant Cell Wall Polysaccharides by Two Human Gut Symbionts , 2011, PLoS biology.

[33]  P. Allen,et al.  Commensal Bacteroides species induce colitis in host-genotype-specific fashion in a mouse model of inflammatory bowel disease. , 2011, Cell host & microbe.

[34]  Gunnar C. Hansson,et al.  The two mucus layers of colon are organized by the MUC2 mucin, whereas the outer layer is a legislator of host–microbial interactions , 2010, Proceedings of the National Academy of Sciences.

[35]  J. Sonnenburg,et al.  Specificity of Polysaccharide Use in Intestinal Bacteroides Species Determines Diet-Induced Microbiota Alterations , 2010, Cell.

[36]  P. Bork,et al.  A human gut microbial gene catalogue established by metagenomic sequencing , 2010, Nature.

[37]  Martin Hartmann,et al.  Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities , 2009, Applied and Environmental Microbiology.

[38]  Adam P. Arkin,et al.  FastTree: Computing Large Minimum Evolution Trees with Profiles instead of a Distance Matrix , 2009, Molecular biology and evolution.

[39]  Brandi L. Cantarel,et al.  The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics , 2008, Nucleic Acids Res..

[40]  J. Gordon,et al.  Mucosal glycan foraging enhances fitness and transmission of a saccharolytic human gut bacterial symbiont. , 2008, Cell host & microbe.

[41]  R. Knight,et al.  Evolution of Mammals and Their Gut Microbes , 2008, Science.

[42]  S. Mazmanian,et al.  A microbial symbiosis factor prevents intestinal inflammatory disease , 2008, Nature.

[43]  R. Wilson,et al.  Evolution of Symbiotic Bacteria in the Distal Human Intestine , 2007, PLoS biology.

[44]  J. Sonnenburg,et al.  Unexpected effect of a Bacteroides conjugative transposon, CTnDOT, on chromosomal gene expression in its bacterial host , 2007, Molecular microbiology.

[45]  E. Purdom,et al.  Diversity of the Human Intestinal Microbial Flora , 2005, Science.

[46]  F. Blattner,et al.  Mauve: multiple alignment of conserved genomic sequence with rearrangements. , 2004, Genome research.

[47]  Abigail A. Salyers,et al.  Characterization of Four Outer Membrane Proteins Involved in Binding Starch to the Cell Surface ofBacteroides thetaiotaomicron , 2000, Journal of bacteriology.

[48]  Cook Si,et al.  Review article: short chain fatty acids in health and disease , 1998 .

[49]  N. Mcneil The contribution of the large intestine to energy supplies in man. , 1984, The American journal of clinical nutrition.

[50]  S. E. West,et al.  Fermentation of mucins and plant polysaccharides by anaerobic bacteria from the human colon , 1977, Applied and environmental microbiology.

[51]  S. E. West,et al.  Fermentation of mucin and plant polysaccharides by strains of Bacteroides from the human colon , 1977, Applied and environmental microbiology.