Evidence map›Paper›PMID 42684534›Full record

ArticleWorld journal of microbiology & biotechnology2026

Assessment and tracking of antimicrobial resistance in Escherichia coli as a one health perspective.

Monica Chavan, Chhavi Bramhe, Kinjal Sangani, Nimesh Patel, Priyank Chavda, Vamsi Satyavolu, Vikas Patidar, Snehal Baghatharia, Satyamitra Shekh, Madhvi Joshi and 4 more

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Article in World journal of microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Monica ChavanGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Chhavi BramheGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Kinjal SanganiGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Nimesh PatelGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Priyank ChavdaGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Vamsi SatyavoluGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Vikas PatidarGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Snehal BaghathariaGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Satyamitra ShekhGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Madhvi JoshiGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Pritesh SabaraGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.ORCID https://orcid.org/0000-0002-4285-2039
Shruti ChatterjeeInstitute of Science, Nirma University, Ahmedabad, India.
Chaitanya JoshiGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India.
Amrutlal PatelGujarat Biotechnology Research Centre (GBRC), Gandhinagar, 382011, India. jd2@gbrc.res.in.

Funding

Network Program on Antimicrobial Resistance, Superbugs and One Health GSBTM/RSS/e-file/30/2024/0021/05258544
6 · The paper itself

Abstract

Genomics has emerged as a powerful tool for addressing the global scenario of antimicrobial resistance (AMR) in the world. The chances of strain circulation across diverse ecosystems has led us to understand the situation from one health point of view. The study examined 897 Escherichia coli genomes across healthcare (n = 615), veterinary and fisheries (n = 219), and environment (n = 63) from Gujarat, India, from 2022 to 2025. The genomes were characterized by sequence type (ST), serotype, and phylogroup analysis to identify the dominant clonal lineages. Furthermore, antibiotic resistance genes (ARGs) and plasmids were analyzed to understand the movement of horizontal gene transfer (HGT). The putative transmission events across sectors were identified using single-nucleotide polymorphisms (SNPs) with distance thresholds of 0, 1, 2, 5, 10, 20, and 50. We reported the presence of internationally reported dominant clonal lineage ST131-B2-O25:H4 across all settings. The healthcare isolates carried a heavy burden of ARGs than the environment and veterinary and fisheries sectors (median 9 vs. 5 vs. 1 gene per isolate), which is consistent with the use of clinical antimicrobial use exerting the dominant selective pressure in this dataset. Plasmid clustering identified 505 distinct clusters, of which 64 were detected across all three sectors, carrying acquired resistance genes namely mphA, sul1, blaCMY-59, qnrS1, and tetA on predominantly IncF (IA, IB, IC, II) replicons. Resistance genes and mobile genetic elements (IS3, IS5, and IS66) were classified by co-location confidence. Potential transmission events and co-circulation both within and across niches were indicated by overlapping clusters. Genomic clustering and mobility patterns of plasmids identified in the E. coli strains are consistent with the possible clonal and plasmid-mediated spread from healthcare to the veterinary and fisheries and the environment sectors. This study's convenience-based sampling and cross-sectoral design do not establish confirmed or directional transmission. These findings support a One Health framework for AMR surveillance, prioritizing biosecurity, antimicrobial stewardship, and infection prevention and control across sectors.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialEscherichia coliEscherichia coli InfectionsOne HealthAnimalsGene Transfer, HorizontalGenome, BacterialHumansIndiaPhylogenyPlasmidsPolymorphism, Single NucleotideAnti-Bacterial AgentsAntimicrobial ResistanceEscherichia coliHorizontal Gene TransferOne HealthTransmission dynamics

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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 Socratic graph.