Evidence map›Paper›PMID 42862088›Full record

ArticleMicrobiologyOpen2026

Subclinical Mastitis and Antibiotic Exposure Reshape the Milk Bacteriome, Resistome, and Metabolic Functional Profiles in Dairy Cows.

M Nazmul Hoque, M Shaminur Rahman, Md Golzar Hossain, Md Tanvir Rahman, Tofazzal Islam, M Anwar Hossain

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2026. 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.

M Nazmul HoqueMolecular Biology and Bioinformatics Laboratory, Department of Gynecology, Obstetrics and Reproductive Health, Gazipur Agricultural University, Gazipur, Bangladesh.ORCID https://orcid.org/0000-0002-4861-0030
M Shaminur RahmanJashore University of Science and Technology, Jashore, Bangladesh.ORCID https://orcid.org/0000-0002-3039-9337
Md Golzar HossainDepartment of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0002-1487-5444
Md Tanvir RahmanDepartment of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0001-5432-480X
Tofazzal IslamInstitute of Biotechnology and Genetic Engineering, Gazipur Agricultural University, Gazipur, Bangladesh.ORCID https://orcid.org/0000-0002-7613-0261
M Anwar HossainDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.

Funding

Bangladesh Bureau of Educational Information & Statistics (BANBEIS), Ministry of Education LS20221764
6 · The paper itself

Abstract

Subclinical mastitis (SCM) reduces milk yield and promotes antibiotic use, contributing to antimicrobial resistance. However, information on milk microbiome dysbiosis and resistome alterations in dairy cows remains limited. We performed shotgun metagenomic sequencing of 30 milk samples from 20 cows classified as SCM (n = 10), antibiotic-treated (ANT; n = 10), and healthy milk (HM; n = 10). Bacteriome, resistome, and metabolic functions were analyzed using bioinformatic tools. Microbial alpha diversity was significantly higher in HM than SCM and ANT samples (p < 0.05), with the greatest richness observed in Local Zebu and Middle-aged (5-8 years) cows. However, beta diversity did not differ significantly among groups (PERMANOVA, p > 0.05). A total of 665 bacterial species belonging to 15 phyla were identified, with Pseudomonadota, Actinomycetota, and Bacillota comprising 90%-99% of total abundance. SCM milk was dominated by Actinoalloteichus sp. (40.55%) and Vibrio furnissii (37.01%), while Staphylococcus aureus was enriched (1.74%) compared with HM and ANT (< 0.01%). ANT milk showed increased abundance of Acinetobacter johnsonii (10.52%), whereas HM samples contained beneficial commensals, including Pseudomonas lundensis, Bacteroides thetaiotaomicron, and Lactococcus lactis. Similar taxonomic shifts were observed across breeds and age groups. In total, 194 antimicrobial resistance genes (ARGs) were detected, with SCM harboring the largest repertoire (n = 161). Nevertheless, macrolide-, aminoglycoside-, and β-lactam-resistance genes were significantly enriched in ANT samples (p < 0.01). Correlation analyses linked Escherichia coli and A. johnsonii with multiple ARGs, while Acinetobacter and Pseudomonas were associated with lipid metabolism, membrane transport, and xenobiotic biodegradation pathways. These findings reveal bacteriome disruption, ARG enrichment, and functional alterations in SCM and antibiotic-exposed milk.

Indexed as

Anti-Bacterial AgentsBacteriaMastitis, BovineMicrobiotaMilkAnimalsCattleDrug Resistance, BacterialFemaleMetagenomicsAnti-Bacterial Agentsantibiotic treatmentbovine subclinical mastitismetabolic pathwaysmilk bacteriomeresistome

Identifiers

PMID42862088
PMCPMC13657076

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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.