Evidence map›Paper›PMID 40072675›Full record

ArticleJournal of epidemiology and global health2025

Temporal Dynamics of Microbial Community Composition and Antimicrobial Resistance in a Mass Gathering Setting Using Culturomics and Metagenomic Approaches.

Neha Verma, Nikeeta Chavan, Karanbir S Aulakh, Avinash Sharma, Yogesh Shouche, Vemuluri Venkata Ramana

Abstract read
In one paragraph

Article in Journal of epidemiology and global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Neha VermaMicrobiological Type Culture Collection and Gene Bank (MTCC), CSIR Institute of Microbial Technology, Chandigarh, 160036, India.
Nikeeta ChavanNational Centre for Microbial Resource, National Centre for Cell Science, Pune, 411007, India.
Karanbir S AulakhMicrobiological Type Culture Collection and Gene Bank (MTCC), CSIR Institute of Microbial Technology, Chandigarh, 160036, India.
Avinash SharmaNational Centre for Microbial Resource, National Centre for Cell Science, Pune, 411007, India.
Yogesh ShoucheNational Centre for Microbial Resource, National Centre for Cell Science, Pune, 411007, India.
Vemuluri Venkata RamanaMicrobiological Type Culture Collection and Gene Bank (MTCC), CSIR Institute of Microbial Technology, Chandigarh, 160036, India. venkat@imtech.res.in.

Funding

CSIR - Institute of Microbial Technology OLP-805Department of Biotechnology, Ministry of Science and Technology, India GAP-233
6 · The paper itself

Abstract

introductionAntimicrobial resistance (AMR) is one of the major global concerns in the current scenario. Mass-gathering events in fast-developing and densely populated areas may contribute to antibiotic resistance. Despite meticulous planning and infrastructure development, the effect of mass gatherings on microbial ecosystems and antibiotic resistance must be investigated. This study used culture and metagenome-based methods to investigate and compare the bacterial diversity, AMR profile & mechanism of resistance for bacteria in water samples collected from the mass gathering event (2019 Prayagraj Kumbh Mela in Uttar Pradesh, India) with the control samples, collected during no mass gathering.

methodsThis study analyzed the water samples collected from a mass gathering event held in February 2019. Water samples collected in this study were grouped into "Test" (mass gathering event) and "Control" (no mass gathering event) groups. This study involved methods including culturomics, antibiotyping, phenotypic & genotypic identification methods, and metagenomics.

resultsThere is a significant variation observed in the evenness and richness of bacterial diversity and MDR profile, expressed in terms of the relative abundance of the bacterial species between test and control samples. Out of the total multi-drug resistant (MDR) strains identified in the Prayagraj sample, the majority were derived from the test sample. A pathway-based analysis of MDR strains revealed the highest levels of acquired resistance were related to the inhibition of cell wall synthesis primarily in Pseudomonas spp., followed by resistance to protein synthesis and nucleic acid synthesis pathways. Additionally, the overall resistance profile of the test sample demonstrated a significantly elevated resistome for beta-lactams, particularly in the Pseudomonas spp. Additionally, several ESBL (Extended-spectrum beta-lactamase)-associated gene variants were identified. The test sample showed a two-fold increase in the prevalence and diversity of common beta-lactam gene variants in addition to the presence of unique variants. Using the metagenomics approach, we investigated the mechanism of antibiotic resistance, and it revealed a dominant trend in antibiotic efflux and inactivation pathways within both the test and control samples. Overall, the bacterial diversity, abundance (including AMR strains of human origin), and ARGs were relatively higher in the Test sample compared to the control sample which was collected 3 months after the mass gathering event.

conclusionOur study found significant variations in microbial communities, MDR strains, and ARGs due to environmental and human influences. Pseudomonas spp. was the most abundant MDR strain, primarily resistant to cell wall synthesis inhibitors. The test sample showed an increased resistome for beta-lactams, while the control sample had reduced bacterial species, ARGs, and MDR strains linked to human microflora. This shift could be due to the re-establishment of native bacterial communities in the Ganges River which may be attributed to its bacteriophage activity, biomolecules, and inherent antimicrobial properties. The study highlights the need for surveillance, monitoring AMR emergence to develop new strategies to combat it.

Indexed as

BacteriaDrug Resistance, BacterialDrug Resistance, MicrobialMicrobiotaWater MicrobiologyAnti-Bacterial AgentsHumansIndiaMetagenomicsAnti-Bacterial AgentsAntimicrobial resistanceBacteriophageBeta-lactamsCulturomicsMass gatheringMetagenomicsMicrobial communitiesMicrobial diversityMultidrug resistance

Identifiers

PMID40072675
PMCPMC11903979

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LicenceCC BY-NC-ND
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Registered trials

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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.