↓ Skip to main content

Identification of a virulence-related surface protein XF in piscine Streptococcus agalactiaeby pre-absorbed immunoproteomics

Overview of attention for article published in BMC Veterinary Research, October 2014
Altmetric Badge

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identification of a virulence-related surface protein XF in piscine Streptococcus agalactiaeby pre-absorbed immunoproteomics
Published in
BMC Veterinary Research, October 2014
DOI 10.1186/s12917-014-0259-7
Pubmed ID
Authors

Guangjin Liu, Wei Zhang, Yongjie Liu, Huochun Yao, Chengping Lu, Pao Xu

Abstract

BackgroundSince 2009, large-scale Streptococcus agalactiae infections have broken out in cultured tilapia farms in China, resulting in considerable economic losses. Screening of the surface proteins is required to identify virulence factors or protective antigens involved in piscine S.agalactiae infections in tilapia. Pre-absorbed immunoproteomics method (PAIM) is a useful method previously established in our laboratory for identifying bacterial surface proteins.ResultsA serine-rich repeat protein family 1 (Srr-1), designated XF, was identified by PAIM in piscine S. agalactiae isolate GD201008-001. To investigate the role of XF in the pathogenesis of piscine S. agalactiae, an isogenic xf mutant strain (¿xf) and a complemented strain (C¿xf) were successfully constructed. The ¿xf mutant and C¿xf showed no significant differences in growth characteristics and adherence to HEp-2 cells compared with the wild-type strain. However the 50% lethal dose of ¿xf was increased (4-fold) compared with that of the parental strain in a zebrafish infection model.ConclusionsThe findings demonstrated that XF is a virulence-related, highly immunoreactive surface protein and is involved in the pathogenicity of S. agalactiae infections in fish.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Student > Doctoral Student 2 11%
Other 2 11%
Researcher 2 11%
Student > Postgraduate 2 11%
Other 3 16%
Unknown 5 26%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 3 16%
Agricultural and Biological Sciences 3 16%
Environmental Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Nursing and Health Professions 1 5%
Other 3 16%
Unknown 7 37%