ArticleGut pathogens2020
Metagenomic analysis of gut microbiome and resistome of diarrheal fecal samples from Kolkata, India, reveals the core and variable microbiota including signatures of microbial dark matter.
Article in Gut pathogens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 53 citations in OpenAlex.
- Gut microbiome dynamics in acute infectious diarrhea: A conceptual framework from acute dysbiosis toward precision restoration (Review).Experimental and therapeutic medicine · 2026Review
- Wastewater metaproteomics: tracking microbial and human protein biomarkers.ISME communications · 2026Article
- Comparative metagenomic analysis of diarrheal and non-diarrheal gut microbiome delineating the identification of prospective prognostic markers and probiotics to protect from diarrhea: a brief report.Frontiers in cellular and infection microbiology · 2026Article
- Targeting Horizontal Gene Transfer to Combat Antimicrobial Resistance: A Review of Mechanisms, Drivers, and Multi-Omics Strategies.Infection and drug resistance · 2026Review
- Diversity and Functional Predictions of Gut Microbiota in Vietnamese Children Aged 6-24 Months with Persistent Diarrhea of Unknown Etiology.Pathogens (Basel, Switzerland) · 2025Article
- Article
- Evaluation of commercial RNA extraction kits for long-read metatranscriptomics in soil.Microbial genomics · 2024Article
- Establishment and perturbation of human gut microbiome: common trends and variations between Indian and global populations.Gut microbiome (Cambridge, England) · 2024Review
- Why are so many enteric pathogen infections asymptomatic? Pathogen and gut microbiome characteristics associated with diarrhea symptoms and carriage of diarrheagenicGut microbes · 2023Article
- Evaluation of extraction and enrichment methods for recovery of respiratory RNA viruses in a metagenomics approach.Journal of virological methods · 2023Article
- Rumen and Fecal Microbiota Characteristics of Qinchuan Cattle with Divergent Residual Feed Intake.Microorganisms · 2023Article
- Metagenomic analysis of diarrheal stools in Kolkata, India, indicates the possibility of subclinical infection of Vibrio cholerae O1.Scientific reports · 2022Article
- Impact of Raised without Antibiotics Measures on Antimicrobial Resistance and Prevalence of Pathogens in Sow Barns.Antibiotics (Basel, Switzerland) · 2022Article
- Vascular Calcification and the Gut and Blood Microbiome in Chronic Kidney Disease Patients on Peritoneal Dialysis: A Pilot Study.Biomolecules · 2022Article
- COVID-19 lockdown shows how much natural mountain regions are affected by heavy tourism.The Science of the total environment · 2022Article
- Dietary supplementation ofFrontiers in microbiology · 2022Article
- Role of the Microbiome in the Pathogenesis of COVID-19.Frontiers in cellular and infection microbiology · 2022Review
- Land use influences stream bacterial communities in lowland tropical watersheds.Scientific reports · 2021Article
- Coinfection of Clostridium perfringens and Escherichia coli in gas-producing perianal abscess diagnosed by 16S rDNA sequencing: a case report.Gut pathogens · 2021Article
- Specific Probiotics for the Treatment of Pediatric Acute Gastroenteritis in India: A Systematic Review and Meta-Analysis.JPGN reports · 2021Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetagenomic analysis of the gut microbiome and resistome is instrumental for understanding the dynamics of diarrheal pathogenesis and antimicrobial resistance transmission (AMR). Metagenomic sequencing of 20 diarrheal fecal samples from Kolkata was conducted to understand the core and variable gut microbiota. Five of these samples were used for resistome analysis. The pilot study was conducted to determine a microbiota signature and the source of antimicrobial resistance genes (ARGs) in the diarrheal gut.
results16S rRNA amplicon sequencing was performed using Illumina MiSeq platform and analysed using the MGnify pipeline. The Genome Taxonomy Database (GTDB-Tk) was used for bacterial taxonomic identification. Diarrheal etiology was determined by culture method. Phylum Firmicutes, Bacteroidetes, Proteobacteria and Actinobacteria were consistently present in 20 samples. Firmicutes was the most abundant phylum in 11 samples. The Bacteroidetes/Firmicutes ratio was less than 1 in 18 samples. 584 genera were observed. 18 of these were present in all the 20 samples. Proteobacteria was the dominant phylum in 6 samples associated with Vibrio cholerae infection. Conservation of operational taxonomic units (OTUs) among all the samples indicated the existence of a core microbiome. Asymptomatic carriage of pathogens like Vibrio cholerae and Helicobacter pylori was found. Signature of Candidate phyla or "microbial dark matter" occurred. Significant correlation of relative abundance of bacterial families of commensals and pathogens were found. Whole-genome sequencing (WGS) on Illumina MiSeq system and assembly of raw reads using metaSPAdes v3.9.1 was performed to study the resistome of 5 samples. ABRicate was used to assign ARG function. 491 resistance determinants were identified. In 80% of the samples tetracycline resistance was the most abundant resistance determinant. High abundance of ARGs against β-lactams, aminoglycosides, quinolones and macrolides was found. Eschericia sp. was the major contributor of ARGs.
conclusionsThis is the first comparative study of the gut microbiome associated with different diarrheal pathogens. It presents the first catalogue of different bacterial taxa representing the core and variable microbiome in acute diarrheal patients. The study helped to define a trend in the gut microbiota signature associated with diarrhea and revealed which ARGs are abundantly present and the metagenome-assembled genomes (MAGs) contributing to AMR.
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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.