Evidence map›Paper›PMID 40097927›Full record

ArticleBMC microbiology2025

Study on molecular characteristics of Staphylococcus from yak milk-Xizang.

Fanxing Meng, Qingxia Wu, Jiangyong Zeng, Hongcai Ma

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Article in BMC microbiology, 2025. 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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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

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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

4 authors.

Fanxing MengInstitute of Animal Husbandry and Veterinary, Xizang Academy of Agriculture and Animal Husbandry Science, Lhasa, 850009, China.
Qingxia Wu *College of Animal Science, Xizang Agriculture and Animal Husbandry University, Nyingchi, 860000, China.
Jiangyong Zeng *Institute of Animal Husbandry and Veterinary, Xizang Academy of Agriculture and Animal Husbandry Science, Lhasa, 850009, China.
Hongcai MaInstitute of Animal Husbandry and Veterinary, Xizang Academy of Agriculture and Animal Husbandry Science, Lhasa, 850009, China. xzmahongcai@126.com.

Funding

The central government guides local science and technology development fund projects XZ202301YD0015CThe National Key Research and Development Program of China 2022YFD1302101
6 · The paper itself

Abstract

This study investigated the biological characteristics of Staphylococcus strains isolated from Xizangan yak milk by examining the antibiotic resistance phenotypes of 69 isolates against 18 antibiotics, detecting 31 associated resistance genes, identifying 16 virulence genes, and assessing biofilm formation capability. Furthermore, molecular typing techniques including spa typing, multilocus sequence typing (MLST), and Staphylococcus cassette chromosome mec (SCCmec) were used for detailed characterization of the isolates. The findings revealed a high penicillin resistance rate of 72.46%. Resistance genes such as gyrA (100.00%), glrB (92.75%), and gyrB (44.93%) were prevalent. The detection rates were 81.16% and 55.07% for the beta-lactamase gene blaZ and the mecA gene, respectively. Among the tested virulence genes, lukS, lukF, hla, clfA, and icaD were detected in 40.58% of isolates, while sec was detected in 24.64%. MLST typing identified four isolates belonging to the ST62623 type and 24 other isolates representing novel ST types not reported on PubMLST.org. Spa typing revealed spa types t1940 (n = 9), t3022 (n = 8), t4558 (n = 6), t4236 (n = 3), t4445 (n = 1), and one unreported spa type. For SCCmec typing, 11 isolates were typed as SCCmec IVb and 9 as SCCmec V. These findings significantly enhance our understanding of the biological characteristics of Staphylococcus strains derived from Xizangan yak milk.

Indexed as

MilkStaphylococcusAnimalsAnti-Bacterial AgentsBacterial ProteinsBacterial Typing TechniquesBiofilmsCattleDrug Resistance, BacterialDrug Resistance, Multiple, BacterialMicrobial Sensitivity TestsMultilocus Sequence TypingStaphylococcal InfectionsVirulence FactorsAnti-Bacterial AgentsBacterial ProteinsVirulence FactorsAntibiotic resistanceMolecular typingResistance geneStaphylococcusVirulence geneYak milk

Identifiers

PMID40097927
PMCPMC11912705

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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.