Laterally transferred genomic islands in Xanthomonadales related to pathogenicity and primary metabolism


Autoria(s): LIMA, Wanessa C.; PAQUOLA, Apua C. M.; VARANI, Alessandro M.; SLUYS, Marie-Anne Van; MENCK, Carlos F. M.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2008

Resumo

Lateral gene transfer (LGT) is considered as one of the drivers in bacterial genome evolution, usually associated with increased fitness and/or changes in behavior, especially if one considers pathogenic vs. non-pathogenic bacterial groups. The genomes of two phytopathogens, Xanthomonas campestris pv. campestris and Xanthomonas axonopodis pv. citri, were previously inspected for genome islands originating from LGT events, and, in this work, potentially early and late LGT events were identified according to their altered nucleotide composition. The biological role of the islands was also assessed, and pathogenicity, virulence and secondary metabolism pathways were functions highly represented, especially in islands that were found to be recently transferred. However, old islands are composed of a high proportion of genes related to cell primary metabolic functions. These old islands, normally undetected by traditional atypical composition analysis, but confirmed as product of LGT by atypical phylogenetic reconstruction, reveal the role of LGT events by replacing core metabolic genes normally inherited by vertical processes.

Identificador

FEMS MICROBIOLOGY LETTERS, v.281, n.1, p.87-97, 2008

0378-1097

http://producao.usp.br/handle/BDPI/28370

10.1111/j.1574-6968.2008.01083.x

http://dx.doi.org/10.1111/j.1574-6968.2008.01083.x

Idioma(s)

eng

Publicador

BLACKWELL PUBLISHING

Relação

Fems Microbiology Letters

Direitos

restrictedAccess

Copyright BLACKWELL PUBLISHING

Palavras-Chave #lateral gene transfer #horizontal gene transfer #Xanthomonas #genomic islands #categorization #HORIZONTAL GENE-TRANSFER #PROKARYOTIC GENOMES #BACTERIAL GENOMES #MICROBIAL GENOMES #IDENTIFICATION #EVOLUTION #SPECIFICITIES #DIVERSITY #CLUSTERS #DATABASE #Microbiology
Tipo

article

original article

publishedVersion