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Modular evolution of secretion systems and virulence plasmids in a bacterial species complex

Authors :
Jeff H. Chang
Mindia Haryono
Shu-Ting Cho
Mary Nia M. Santos
Lin Chou
Alexandra J. Weisberg
Yu-Chen Lin
Erh-Min Lai
Chih-Horng Kuo
Chih-Feng Wu
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

BackgroundMany bacterial taxa are species complexes and uncertainties regarding the organization of their genetic diversity challenge research efforts. We utilizedAgrobacterium tumefaciens, a taxon known for its phytopathogenicity and applications in transformation, as a study system and devised strategies for investigating genome diversity and evolution of species complexes.ResultsWe utilized 35 genome assemblies to achieve a comprehensive and balanced sampling ofA. tumefaciens. Our confident inference of gene content and core-genome phylogeny supported a quantitative guideline for delineating 12 species and allowed for robust investigations of genes critical in fitness and ecology. For the type VI secretion system (T6SS) involved in interbacterial competition and thought to be conserved, we detected multiple losses and one horizontal gene transfer. For the tumor-inducing plasmids (pTi) and pTi-encoded type IV secretion system (T4SS) that are essential for agrobacterial phytopathogenicity, we uncovered novel diversity and hypothesized their involvement in shaping this species complex. Intriguingly, for both T6SS and T4SS, genes encoding structural components are highly conserved, whereas extensive diversity exists for genes encoding effectors and other proteins.ConclusionsWe demonstrated that the combination of a phylogeny-guided sampling scheme and an emphasis on high-quality assemblies provides a cost-effective approach for robust analysis in evolutionary genomics. Our strategies for multi-level investigations at scales that range from whole-genomes to intragenic domains and phylogenetic depths of between- and within-species are applicable to other bacteria. Finally, modularity observed in the molecular evolution of genes and domains is useful for inferring functional constraints and informing experimental works.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........ee84496469c1077669e59292262a61f2