Evidence map›Paper›PMID 40998902›Full record

ArticleScientific reports2025

Unveiling community structure, antimicrobial resistance, and virulence factor of a wastewater sample of dairy farm located in mayurbhanj, odisha, India.

Swati Sucharita Satpathy, Debabrata Pradhan

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Swati Sucharita SatpathyBiofuels and Bioprocessing Research Center, ITER, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751030, India.
Debabrata PradhanBiofuels and Bioprocessing Research Center, ITER, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751030, India. debabratapradhan@soa.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutrient-rich dairy wastewater (DWW) is an excellent growing medium for microbes. Their antimicrobial resistance (AMR) genes and pathogenic roles remain in the DWW and even multiply in environmental settings, in contrast to many chemical toxins that break down over time. Necessary steps and standardized techniques for tracking AMR in DWW samples are desperately needed. In this context, a DWW sample was evaluated to assess the necessity of remediation and develop a suitable treatment technique. Physicochemical characterizations of the sample showed an elevated level of pollutants like proteins, fats, and carbohydrates that led to the water pollution and microbial diversity (e.g., 36 phyla, 72 classes, 111 orders, 168 families, 275 genera, and 347 species). The Shannon and Simpson indices showed that the DWW sample had a high level of microbial diversity of a few species. The gene ontology (GO) analysis revealed the functional categories with 2795 genes belonging to 11 virulence categories. Most of the identified AMR genes belonged to beta-lactamase, and the majority of them were linked to Escherichia coli, Mycobacterium tuberculosis, Staphylococcus aureus, Klebsiella pneumoniae, Pseudomonas aeruginosa, Enterobacter cloacae, etc. The major bacterial phyla carrying AMR genes included Firmicutes (36%), Proteobacteria (31%), Actinobacteria (21%), and Bacteroidetes (5%).

Indexed as

BacteriaDairyingDrug Resistance, BacterialMicrobiotaVirulence FactorsWastewaterAnimalsAnti-Bacterial AgentsFarmsIndiaWater MicrobiologyAnti-Bacterial AgentsVirulence FactorsWastewaterAntimicrobial resistanceDairy wastewaterMetagenomic sequencingPhysico-chemical parametersVirulence factor

Identifiers

PMID40998902
PMCPMC12464285

What OpenQuestion holds

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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.