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Phylogenetic, comparative genomic and structural analyses of human Streptococcus agalactiae ST485 in China

Overview of attention for article published in BMC Genomics, September 2018
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Title
Phylogenetic, comparative genomic and structural analyses of human Streptococcus agalactiae ST485 in China
Published in
BMC Genomics, September 2018
DOI 10.1186/s12864-018-5084-0
Pubmed ID
Authors

Rui Wang, Liping Li, Ting Huang, Yan Huang, Weiyi Huang, Xiuying Yang, Aiying Lei, Ming Chen

Abstract

Streptococcus agalactiae (Group B Streptococcus, GBS) is a common bacteria species infecting both human and bovine. Previous studies have shown that the GBS isolated from human and bovine are mostly unrelated and belong to separate populations. However, recently, the bovine GBS CC103 has become the dominant epidemic strain and frequently isolated from human patients. In particular, the ST485 GBS, a member of CC103, has become the new dominant ST in China and exhibited very high pathogenicity. This phenomenon is not consistent with the established understanding about the relationship between bovine and human GBS, which needs to be re-investigated. The genome-based phylogenetic analysis showed that the human and bovine GBS CC103 strains had very close genetic relationship and they were alternately distributed on the evolutionary tree. CC103 strains evolved into several branches, including the ST485, which exhibited high pathogenicity and specifically infected human. Compared to other CC103 strains, the ST485 lacked Lac.2 gene structure and acquired the CadDX gene structure in their genomes. Our results indicate that GBS CC103 could propagate across human and bovine, and GBS ST485 might evolve from the ST103 that could infect both human and bovine. Moreover, the recombination of Lac.2 and CadDX gene structures might play an important role in the formation of highly pathogenic ST485 in China.

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 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 > Bachelor 3 16%
Student > Master 3 16%
Other 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 2 11%
Other 2 11%
Unknown 5 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 21%
Agricultural and Biological Sciences 3 16%
Veterinary Science and Veterinary Medicine 2 11%
Immunology and Microbiology 2 11%
Computer Science 1 5%
Other 0 0%
Unknown 7 37%

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 28 September 2018.
All research outputs
#12,030,866
of 13,568,727 outputs
Outputs from BMC Genomics
#6,936
of 7,924 outputs
Outputs of similar age
#228,518
of 265,070 outputs
Outputs of similar age from BMC Genomics
#7
of 9 outputs
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