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Molecular and virulence characterization of highly prevalent Streptococcus agalactiae circulated in bovine dairy herds

Overview of attention for article published in Veterinary Research, October 2017
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Citations

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Title
Molecular and virulence characterization of highly prevalent Streptococcus agalactiae circulated in bovine dairy herds
Published in
Veterinary Research, October 2017
DOI 10.1186/s13567-017-0461-2
Pubmed ID
Authors

Maoda Pang, Lichang Sun, Tao He, Hongdu Bao, Lili Zhang, Yan Zhou, Hui Zhang, Ruicheng Wei, Yongjie Liu, Ran Wang

Abstract

Bovine mastitis caused by Streptococcus agalactiae continues to be one of the major veterinary and economic issues in certain areas of the world. The more prevalent S. agalactiae strains that cause bovine mastitis in China dairy farms belong to a number of bovine-adapted sequence types (STs) ST67, ST103 and ST568. However, it is unknown why these STs can emerge as highly prevalent clones in bovine dairy farms. Here, to determine if a variety of virulence characteristics were associated with these highly prevalent STs, the molecular and virulence characterization of 116 strains isolated from bovine, human, fish and environment were analyzed. Our data showed that all bovine-adapted strains could be assigned to capsular genotype Ia or II, and carried pilus island 2b, and lactose operon. Importantly, we demonstrated that the growth ability in milk, biofilm formation ability and adhesion ability to bovine mammary epithelial cells (BMECs) were significantly higher for all bovine-adapted strains compared to strains from other origins. Additionally, ST103 and ST568 strains exhibited significantly higher hemolytic activity and cytotoxicity than ST67 strains. In conclusion, our study provides substantial evidence for the hypothesis that the virulence characteristics including efficient growth in milk, elevated biofilm formation ability, together with strong adhesion ability might have favored the high prevalence of the STs in the bovine environment, whereas the hemolytic activity and cytotoxicity were not the crucial characteristics.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 13%
Researcher 7 11%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 6 10%
Professor > Associate Professor 3 5%
Other 11 18%
Unknown 20 32%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 12 19%
Biochemistry, Genetics and Molecular Biology 8 13%
Agricultural and Biological Sciences 6 10%
Immunology and Microbiology 4 6%
Medicine and Dentistry 3 5%
Other 10 16%
Unknown 19 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2017.
All research outputs
#10,793,503
of 12,171,978 outputs
Outputs from Veterinary Research
#722
of 784 outputs
Outputs of similar age
#239,815
of 285,204 outputs
Outputs of similar age from Veterinary Research
#39
of 53 outputs
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We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.