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Analysis of gene gain and loss in the evolution of predatory bacteria.
Li, Nan; Wang, Kai; Williams, Henry N; Sun, Jun; Ding, Changling; Leng, Xiaoyun; Dong, Ke.
Afiliação
  • Li N; College of Marine Science and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, China; School of the Environment, Florida A&M University, Tallahassee, FL, USA. Electronic address: nan.li@famu.edu.
  • Wang K; Institute of Biochemistry and Cell Biology, Shanghai Institute of Biological Science, Chinese Academy of Science, Shanghai, China.
  • Williams HN; School of the Environment, Florida A&M University, Tallahassee, FL, USA.
  • Sun J; College of Marine Science and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, China.
  • Ding C; College of Marine Science and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, China.
  • Leng X; College of Marine Science and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, China.
  • Dong K; Department of Biological Sciences, Seoul National University, Seoul 151-742, South Korea.
Gene ; 598: 63-70, 2017 Jan 20.
Article em En | MEDLINE | ID: mdl-27825775
ABSTRACT
Predatory bacteria are ubiquitously distributed in nature in including in aquatic environments, sewage, intestinal tracts of animals and humans, rhizophere and, soils. However, our understanding of their evolutionary history is limited. Results of recent studies have shown that acquiring novel genes is a major force driving bacterial evolution. Therefore, to gain a better understanding of the impact of gene gain and loss in the evolution of bacterial predators, this study employed comparative genomic approaches to identify core-set gene families and species-specific gene families, and model gene gain and loss events among 11 genomes that represented diverse lineages. In total, 1977 gene families were classified. Of these 509 (pattern 11111111111) were present all of the 11 species. Among the non-core set gene families, 52 were present only in saltwater bacteria predators and had no ortholog in the other genomes. Similarly 109 and 44 were present only in the genomes of Micavibrio spp. and Bdellovibrio spp., respectively. In this study, the gain loss mapping engine GLOOME was selected to analyze and estimate the expectations and probabilities of both gain and loss events in the predatory bacteria. In total, 354 gene families were involved in significant gene gain events, and 407 gene families were classified into gene loss events with high supported value. Moreover, 18 families from the core set gene family were identified as putative genes under positive selection. The results of this study suggest that acquisition of particular genes that encode functional proteins in metabolism and cellular processes and signaling, especially ABC systems, may help bacterial predators adapt to surrounding environmental changes and present different predation strategies for survival in their habitats.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Evolução Molecular / Genes Bacterianos Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Gene Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Evolução Molecular / Genes Bacterianos Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Gene Ano de publicação: 2017 Tipo de documento: Article