198 research outputs found

    Molecular mechanism by which prominent human gut Bacteroidetes utilize mixed-linkage beta-glucans, major health-promoting cereal polysaccharides

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    Microbial utilization of complex polysaccharides is a major driving force in shaping the composition of the human gut microbiota. There is a growing appreciation that finely tuned polysaccharide utilization loci enable ubiquitous gut Bacteroidetes to thrive on the plethora of complex polysaccharides that constitute “dietary fiber.” Mixed-linkage ÎČ(1,3)/ÎČ(1,4)-glucans (MLGs) are a key family of plant cell wall polysaccharides with recognized health benefits but whose mechanism of utilization has remained unclear. Here, we provide molecular insight into the function of an archetypal MLG utilization locus (MLGUL) through a combination of biochemistry, enzymology, structural biology, and microbiology. Comparative genomics coupled with growth studies demonstrated further that syntenic MLGULs serve as genetic markers for MLG catabolism across commensal gut bacteria. In turn, we surveyed human gut metagenomes to reveal that MLGULs are ubiquitous in human populations globally, which underscores the importance of gut microbial metabolism of MLG as a common cereal polysaccharide

    Human gut Bacteroidetes can utilize yeast mannan through a selfish mechanism

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    Yeasts, which have been a component of the human diet for at least 7,000 years, possess an elaborate cell wall α-mannan. The influence of yeast mannan on the ecology of the human microbiota is unknown. Here we show that yeast α-mannan is a viable food source for the Gram-negative bacterium Bacteroides thetaiotaomicron, a dominant member of the microbiota. Detailed biochemical analysis and targeted gene disruption studies support a model whereby limited cleavage of α-mannan on the surface generates large oligosaccharides that are subsequently depolymerized to mannose by the action of periplasmic enzymes. Co-culturing studies showed that metabolism of yeast mannan by B. thetaiotaomicron presents a ‘selfish’ model for the catabolism of this difficult to breakdown polysaccharide. Genomic comparison with B. thetaiotaomicron in conjunction with cell culture studies show that a cohort of highly successful members of the microbiota has evolved to consume sterically-restricted yeast glycans, an adaptation that may reflect the incorporation of eukaryotic microorganisms into the human diet

    Chloroplast genomes: diversity, evolution, and applications in genetic engineering

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    Exploring the human gut microbiota enzymes involved in the complex carbohydrate degradation

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    La prĂ©sence de sucres complexes constitue une source nutritive importante pour le microbiote qui assure leur dĂ©gradation via des CAZymes. Dans le cadre de cette thĂšse, nous avons construit in silico un modĂšle de type minimicrobiome contenant 177 gĂ©nomes reprĂ©sentatifs des communautĂ©s bactĂ©riennes dans un microbiote intestinal conventionnel. L’analyse du contenu de ce minimicrobiome nous a permis d’estimer leur abondance et leur diversitĂ©. De plus, la comparaison du contenu CAZymes par groupe bactĂ©rien de type « phylum » a rĂ©vĂ©lĂ© une variabilitĂ© inter-phylum, notamment une diversitĂ© de familles CAZymes et une abondance en gĂšnes bien plus Ă©levĂ©es chez les Bacteroidetes. Dans un deuxiĂšme temps, nous avons dĂ©veloppĂ© une puce Ă  ADN sur laquelle nous avons greffĂ© des sondes non redondantes ciblant plus de 6500 gĂšnes codant des CAZymes. Nous avons ensuite testĂ© la "puce CAZyme" par hybridation d’ADN bactĂ©rien extrait d’échantillons de selles. Nos rĂ©sultats suggĂšrent que cette mĂ©thode serait plus sensible dans la dĂ©tection de CAZymes provenant de bactĂ©ries rares par rapport Ă  la mĂ©tagĂ©nomique. Ainsi, il est intĂ©ressant de noter qu’en utilisant la puce CAZyme, nous avons pu dĂ©tecter un gĂšne codant pour une famille GH6, alors que les Ă©tudes mĂ©tagĂ©nomiques n’ont jamais rĂ©ussi Ă  dĂ©tecter ce gĂšne dans le microbiome intestinal humain et animal. Enfin, l’examen de huit Ă©chantillons de selles a permis l’identification d’un noyau CAZome contenant 46 familles de GHs et PLs, ce qui suggĂ©rerait que le microbiote intestinal est caractĂ©risĂ© par une stabilitĂ© fonctionnelle en dĂ©pit de variations taxonomiques importantes entre les individus testĂ©s et indĂ©pendamment de leur Ă©tat de santĂ©.The bacterial communities that inhabit our gut ensure their growth and survival by extracting their carbon source from the food that transits through the intestines. The complex carbohydrates included in the human diet are almost exclusively degraded by the gut microbiota using CAZymes. We built a minimicrobiome model using 177 genomes associated to gut microbiota. The CAZyme content analysis revealed their huge diversity and abundance in our minimicrobiome model. At the phylum level, the Bacteroidetes genomes showed the greatest CAZyme diversity and abundance. Interestingly, as most of CAZymes found in Bacteroidetes genomes contain a signal peptide allowing their secretion in the intestinal lumen and/or in periplasmic space, members of this phylum are suggested to be the primary degraders of complex carbohydrates. Further, we developed a microarray containing probes to target more than 6,500 CAZyme genes. We then validated the CAZyme microarray by the hybridization of bacterial DNA extracted from the stool samples of individuals. Our results suggest that a microarray-based study can detect genes from low-abundance bacteria better than metagenomic-based studies. A striking example was the detection of gene encoding a GH6-family in all subjects examined, whereas metagenomic studies have consistently failed to detect this gene in both human and animal gut microbiomes. In addition, an examination of eight stool samples allowed the identification of a corresponding core CAZome containing 46 CAZymes families that suggests a functional stability of the gut microbiota despite large taxonomical variations between individuals and independently of health state

    Le microbiote intestinal et la digestion des polysaccharides = Gut microbiota and digestion of polysaccharides

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    The distal gut microbiota corresponds to all the microorganisms, essentially bacteria, that reside commonly in the colon. The microbial population is characterized by a large taxonomical diversity, counting approximately a thousand distinct bacterial species for a single individual. The pace of investigations of this microbial system has greatly accelerated these last few years, fuelled by the advent of metagenomics techniques, which do not rely on bacterial cultivation, but utilize high throughput DNA sequencing. In just a few years studies of the intestinal microbiota have become fashionable, albeit with often contradictory results when attempting to correlate changes in microbial composition to diverse pathologies. The article focusses on one of the essential functions of the distal gut microbiota: the digestion of the immense variety of polysaccharides from our diet that enzymes of the host cannot breakdown

    Le microbiote intestinal et la digestion des polysaccharides

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    Le microbiote intestinal distal correspond Ă  l’ensemble des micro-organismes, essentiellement des bactĂ©ries, qui rĂ©sident habituellement dans le cĂŽlon. Cette population microbienne est caractĂ©risĂ©e par une grande diversitĂ© taxonomique ; on estime Ă  environ un millier le nombre d’espĂšces bactĂ©riennes distinctes pour un seul individu. L’étude de ce systĂšme microbien a brutalement accĂ©lĂ©rĂ© ces derniĂšres annĂ©es grĂące Ă  l’avĂšnement de techniques dites mĂ©tagĂ©nomiques, qui s’affranchissent de la culture bactĂ©rienne et reposent sur le sĂ©quençage de l’ADN. En quelques annĂ©es, le microbiote intestinal a fait l’objet de nombreuses Ă©tudes, aux rĂ©sultats souvent contradictoires, qui tentent de corrĂ©ler les variations de la population bactĂ©rienne Ă  diverses pathologies. Cet article fait le point sur une des fonctions essentielles du microbiote intestinal : la digestion de l’immense diversitĂ© des polysaccharides de notre alimentation, que les enzymes de l’hĂŽte ne peuvent digĂ©rer
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