Genomic analysis of 38 Legionella species identifies large and diverse effector repertoires View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-02

AUTHORS

David Burstein, Francisco Amaro, Tal Zusman, Ziv Lifshitz, Ofir Cohen, Jack A Gilbert, Tal Pupko, Howard A Shuman, Gil Segal

ABSTRACT

Infection by the human pathogen Legionella pneumophila relies on the translocation of ∼ 300 virulence proteins, termed effectors, which manipulate host cell processes. However, almost no information exists regarding effectors in other Legionella pathogens. Here we sequenced, assembled and characterized the genomes of 38 Legionella species and predicted their effector repertoires using a previously validated machine learning approach. This analysis identified 5,885 predicted effectors. The effector repertoires of different Legionella species were found to be largely non-overlapping, and only seven core effectors were shared by all species studied. Species-specific effectors had atypically low GC content, suggesting exogenous acquisition, possibly from the natural protozoan hosts of these species. Furthermore, we detected numerous new conserved effector domains and discovered new domain combinations, which allowed the inference of as yet undescribed effector functions. The effector collection and network of domain architectures described here can serve as a roadmap for future studies of effector function and evolution. More... »

PAGES

167-175

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ng.3481

DOI

http://dx.doi.org/10.1038/ng.3481

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051705235

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26752266


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