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大规模基因组分析揭示了巴西鱼类养殖场中无乳链球菌菌株的种群结构和进化趋势。

Large-scale genomic analyses reveal the population structure and evolutionary trends of Streptococcus agalactiae strains in Brazilian fish farms.

机构信息

National Reference Laboratory for Aquatic Animal Diseases (AQUACEN) of Ministry of Agriculture, Livestock and Food Supply, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

出版信息

Sci Rep. 2017 Oct 19;7(1):13538. doi: 10.1038/s41598-017-13228-z.

Abstract

Streptococcus agalactiae is a major pathogen and a hindrance on tilapia farming worldwide. The aims of this work were to analyze the genomic evolution of Brazilian strains of S. agalactiae and to establish spatial and temporal relations between strains isolated from different outbreaks of streptococcosis. A total of 39 strains were obtained from outbreaks and their whole genomes were sequenced and annotated for comparative analysis of multilocus sequence typing, genomic similarity and whole genome multilocus sequence typing (wgMLST). The Brazilian strains presented two sequence types, including a newly described ST, and a non-typeable lineage. The use of wgMLST could differentiate each strain in a single clone and was used to establish temporal and geographical correlations among strains. Bayesian phylogenomic analysis suggests that the studied Brazilian population was co-introduced in the country with their host, approximately 60 years ago. Brazilian strains of S. agalactiae were shown to be heterogeneous in their genome sequences and were distributed in different regions of the country according to their genotype, which allowed the use of wgMLST analysis to track each outbreak event individually.

摘要

无乳链球菌是一种主要的病原体,也是全球罗非鱼养殖的障碍。本研究旨在分析巴西无乳链球菌株的基因组进化,并确定来自不同链球菌病暴发的菌株之间的时空关系。共从暴发中获得了 39 株,对其全基因组进行了测序和注释,用于多位点序列分型、基因组相似性和全基因组多位点序列分型(wgMLST)的比较分析。巴西株呈现两种序列型,包括新描述的 ST 和不可分型谱系。使用 wgMLST 可以在单个克隆中区分每个菌株,并用于建立菌株之间的时间和地理相关性。贝叶斯系统基因组分析表明,研究中巴西人群与宿主一起大约在 60 年前被引入该国。巴西无乳链球菌株的基因组序列存在异质性,根据其基因型分布在该国的不同地区,这使得可以使用 wgMLST 分析单独追踪每个暴发事件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b8b/5648781/41d8a417b31e/41598_2017_13228_Fig1_HTML.jpg

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