Large-scale network analysis captures biological features of bacterial plasmids
Large-scale network analysis captures biological features of bacterial plasmids
复制标题
大规模网络分析捕获细菌质粒的生物学特征
DOI:
10.1101/785212
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Acman M
中科院分区:
文献类型:
--
作者:
Acman M
Many bacteria can exchange genetic material through horizontal gene transfer (HGT) mediated by plasmids and plasmid-borne transposable elements. Here, we study the population structure and dynamics of over 10,000 bacterial plasmids, by quantifying their genetic similarities and reconstructing a network based on their sharedk-mer content. We use a community detection algorithm to assign plasmids into cliques, which correlate with plasmid gene content, bacterial host range, GC content, and existing classifications based on replicon and mobility (MOB) types. Further analysis of plasmid population structure allows us to uncover candidates for yet undescribed replicon genes, and to identify transposable elements as the main drivers of HGT at broad phylogenetic scales. Our work illustrates the potential of network-based analyses of the bacterial ‘mobilome’ and opens up the prospect of a natural, exhaustive classification framework for bacterial plasmids.
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影响因子:
10.7
作者:
Tamminen, Manu;Virta, Marko;Fondi, Marco
通讯作者:
Fondi, Marco
影响因子:
1.2
作者:
Orlek A;Phan H;Sheppard AE;Doumith M;Ellington M;Peto T;Crook D;Walker AS;Woodford N;Anjum MF;Stoesser N
通讯作者:
Stoesser N
DOI:
10.1146/annurev-biodatasci-080917-013431
发表时间:
2018-01-01
期刊:
ANNUAL REVIEW OF BIOMEDICAL DATA SCIENCE, VOL 1
影响因子:
--
作者:
Ren, Jie;Bai, Xin;Sun, Fengzhu
通讯作者:
Sun, Fengzhu
DOI:
--
发表时间:
--
期刊:
--
影响因子:
--
作者:
Systems Biology
通讯作者:
Systems Biology
DOI:
10.1073/pnas.0800679105
发表时间:
2008-07-22
影响因子:
11.1
作者:
Dagan, Tal;Artzy-Randrup, Yael;Martin, William
通讯作者:
Martin, William