Study on molecular characteristics of Staphylococcus from yak milk-Xizang

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.

Authors

Institutions

Publication Details

Journal
BMC Microbiology
Published
2025-03-17
DOI
https://doi.org/10.1186/s12866-025-03868-x
Primary Topic
Probiotics and Fermented Foods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on molecular characteristics of Staphylococcus from yak milk-Xizang

Qingxia Wu, Hongcai Ma, Jiangyong Zeng, Fanxing Meng
BMC Microbiology
Probiotics and Fermented Foods
article

Study on molecular characteristics of Staphylococcus from yak milk-Xizang

Qingxia Wu, Hongcai Ma, Jiangyong Zeng, Fanxing Meng
article en

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.

BMC MicrobiologyVol. 25(1)
Tibet University (CN), Animal Science Research Institute (CN)
Zero hunger
Openalex Percentile: Top 95%
Probiotics and Fermented Foods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.