Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/56231
Title: Mycobacterial Phylogenomics: An Enhanced Method for Gene Turnover Analysis Reveals Uneven Levels of Gene Gain and Loss among Species and Gene Families
Author: Librado Sanz, Pablo
Vieira, Filipe G.
Sánchez-Gracia, Alejandro
Kolokotronis, S. O.
Rozas Liras, Julio A.
Keywords: Genòmica
Micobacteris
Filogènia
Genomics
Mycobacteria
Phylogeny
Issue Date: 2014
Publisher: Oxford University Press
Abstract: Species of the genus Mycobacterium differ in several features, from geographic ranges, and degree of pathogenicity, to ecological and host preferences. The recent availability of several fully sequenced genomes for a number of these species enabled the comparative study of the genetic determinants of this wide lifestyle diversity. Here, we applied two complementary phylogenetic-based approaches using information from 19 Mycobacterium genomes to obtain a more comprehensive view of the evolution of this genus. First, we inferred the phylogenetic relationships using two new approaches, one based on a Mycobacterium-specific amino acid substitution matrix and the other on a gene content dissimilarity matrix. Then, we utilized our recently developed gain-and-death stochastic models to study gene turnover dynamics in this genus in a maximum-likelihood framework. We uncovered a scenario that differs markedly from traditional 16S rRNA data and improves upon recent phylogenomic approaches. We also found that the rates of gene gain and death are high and unevenly distributed both across species and across gene families, further supporting the utility of the new models of rate heterogeneity applied in a phylogenetic context. Finally, the functional annotation of the most expanded or contracted gene families revealed that the transposable elements and the fatty acid metabolism-related gene families are the most important drivers of gene content evolution in Mycobacterium.
Note: Reproducció del document publicat a: http://dx.doi.org/10.1093/gbe/evu117
It is part of: Genome Biology and Evolution, 2014, vol. 6, num. 6, p. 1454-1465
Related resource: http://dx.doi.org/10.1093/gbe/evu117
URI: http://hdl.handle.net/2445/56231
ISSN: 1759-6653
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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