Exploring the evolutionary dynamics of plasmids: the Acinetobacter pan-plasmidome

质粒 生物 水平基因转移 遗传学 基因组 基因 流动遗传元素 染色体 转座因子 插入顺序 转座酶 同源重组 计算生物学
作者
Marco Fondi,Giovanni Bacci,Matteo Brilli,Maria Cristiana Papaleo,Alessio Mengoni,Mario Vaneechoutte,Lenie Dijkshoorn,Renato Fani
出处
期刊:BMC Evolutionary Biology [Springer Science+Business Media]
卷期号:10 (1) 被引量:89
标识
DOI:10.1186/1471-2148-10-59
摘要

Prokaryotic plasmids have a dual importance in the microbial world: first they have a great impact on the metabolic functions of the host cell, providing additional traits that can be accumulated in the cell without altering the gene content of the bacterial chromosome. Additionally and/or alternatively, from a genome perspective, plasmids can provide a basis for genomic rearrangements via homologous recombination and so they can facilitate the loss or acquisition of genes during these events, which eventually may lead to horizontal gene transfer (HGT). Given their importance for conferring adaptive traits to the host organisms, the interest in plasmid sequencing is growing and now many complete plasmid sequences are available online.By using the newly developed Blast2Network bioinformatic tool, a comparative analysis was performed on the plasmid and chromosome sequence data available for bacteria belonging to the genus Acinetobacter, an ubiquitous and clinically important group of gamma-proteobacteria. Data obtained showed that, although most of the plasmids lack mobilization and transfer functions, they have probably a long history of rearrangements with other plasmids and with chromosomes. Indeed, traces of transfers between different species can be disclosed.We show that, by combining plasmid and chromosome similarity, identity based, network analysis, an evolutionary scenario can be described even for highly mobile genetic elements that lack extensively shared genes. In particular we found that transposases and selective pressure for mercury resistance seem to have played a pivotal role in plasmid evolution in Acinetobacter genomes sequenced so far.
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