ArticleFrontiers in genetics2017
Comparative Genomic Analysis of the Human Gut Microbiome Reveals a Broad Distribution of Metabolic Pathways for the Degradation of Host-Synthetized Mucin Glycans and Utilization of Mucin-Derived Monosaccharides.
Article in Frontiers in genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
66 citing papers in PubMed, 162 citations in OpenAlex.
- Trial
- Functional Heterogeneity of the Autism Spectrum Disorder-Associated Gut Microbial Ecosystem Revealed by Fecal Lipopolysaccharides and Bacterial Proteomic Profiling.Chembiochem : a European journal of chemical biology · 2026Article
- Determination of Gene-Level Fitness Contributions Across the Mucin-Utilization Network of Bacteroides thetaiotaomicron.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- A barrier-centered perspective on the gut-barrier-bone axis: a review of the core role of the intestinal barrier and related probiotics with nanocoatings.Archives of microbiology · 2026Review
- The adaptation of the gut microbiome to social environmental changes in an Asian langur.iScience · 2026Article
- Deciphering themSphere · 2026Article
- Genomic and Functional Characterization of a Novel Gut-Derived Member of the Genus Collinsella With Probiotic-Associated Potential.Probiotics and antimicrobial proteins · 2026Article
- From Mycosynthesis to Immunomodulation: Exploring the Safety, Adjuvant Potential and Microbiota Impact of Biogenic Silver Nanoparticles.Microbial biotechnology · 2026Article
- From diet to function: using synthetic microbial communities to map gut microbial interactions.NPJ biofilms and microbiomes · 2026Review
- Mucin Type Drives Composition and Mucin Glycan Degradation of an In Vitro Synthetic Microbial Community.Environmental microbiology · 2026Article
- The growth and pathogenesis ofInfection and immunity · 2026Article
- Host-gut microbiota interactions in health and disease: mechanisms and intervention strategies.Frontiers in microbiology · 2026Review
- Metatranscriptomic-driven insights into mucosal glycan degradation by the human gut microbiota.FEMS microbiology ecology · 2025Article
- New insights in amino sugar metabolism by the gut microbiome.Gut microbes · 2025Review
- Article
- Environmental factors drive bacterial degradation of gastrointestinal mucus.NPJ biofilms and microbiomes · 2025Article
- Safety evaluation ofToxicology reports · 2025Article
- Milk sialyl-oligosaccharides mediate the early colonization of gut commensal microbes in piglets.Microbiome · 2025Article
- Seasonal and Regional Dynamics of the Intestinal Microbiota inAnimals : an open access journal from MDPI · 2025Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The colonic mucus layer is a dynamic and complex structure formed by secreted and transmembrane mucins, which are high-molecular-weight and heavily glycosylated proteins. Colonic mucus consists of a loose outer layer and a dense epithelium-attached layer. The outer layer is inhabited by various representatives of the human gut microbiota (HGM). Glycans of the colonic mucus can be used by the HGM as a source of carbon and energy when dietary fibers are not sufficiently available. Both commensals and pathogens can utilize mucin glycans. Commensals are mostly involved in the cleavage of glycans, while pathogens mostly utilize monosaccharides released by commensals. This HGM-derived degradation of the mucus layer increases pathogen susceptibility and causes many other health disorders. Here, we analyzed 397 individual HGM genomes to identify pathways for the cleavage of host-synthetized mucin glycans to monosaccharides as well as for the catabolism of the derived monosaccharides. Our key results are as follows: (i) Genes for the cleavage of mucin glycans were found in 86% of the analyzed genomes, which significantly higher than a previous estimation. (ii) Genes for the catabolism of derived monosaccharides were found in 89% of the analyzed genomes. (iii) Comparative genomic analysis identified four alternative forms of the monosaccharide-catabolizing enzymes and four alternative forms of monosaccharide transporters. (iv) Eighty-five percent of the analyzed genomes may be involved in potential feeding pathways for the monosaccharides derived from cleaved mucin glycans. (v) The analyzed genomes demonstrated different abilities to degrade known mucin glycans. Generally, the ability to degrade at least one type of mucin glycan was predicted for 81% of the analyzed genomes. (vi) Eighty-two percent of the analyzed genomes can form mutualistic pairs that are able to degrade mucin glycans and are not degradable by any of the paired organisms alone. Taken together, these findings provide further insight into the inter-microbial communications of the HGM as well as into host-HGM interactions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.