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Detalle de: Chance and necessity in the genome evolution of endosymbiotic bacteria of insects

Title Chance and necessity in the genome evolution of endosymbiotic bacteria of insects
Abstract

An open question in evolutionary biology is how does the selection–drift balance determine the fates of biological interactions. We searched for signatures of selection and drift in genomes of five endosymbiotic bacterial groups known to evolve under strong genetic drift. Although most genes in endosymbiotic bacteria showed evidence of relaxed purifying selection, many genes in these bacteria exhibited stronger selective constraints than their orthologs in free-living bacterial relatives. Remarkably, most of these highly constrained genes had no role in the host–symbiont interactions but were involved in either buffering the deleterious consequences of drift or other host-unrelated functions, suggesting that they have either acquired new roles or their role became more central in endosymbiotic bacteria. Experimental evolution of Escherichia coli under strong genetic drift revealed remarkable similarities in the mutational spectrum, genome reduction patterns and gene losses to endosymbiotic bacteria of insects. Interestingly, the transcriptome of the experimentally evolved lines showed a generalized deregulation of the genome that affected genes encoding proteins involved in mutational buffering, regulation and amino acid biosynthesis, patterns identical to those found in endosymbiotic bacteria. Our results indicate that drift has shaped endosymbiotic associations through a change in the functional landscape of bacterial genes and that the host had only a small role in such a shift.

Apa Reference Sabater-Muñoz, B., Toft, C., Alvarez-Ponce, D., & Fares, M. A. (2017). Chance and necessity in the genome evolution of endosymbiotic bacteria of insects. The ISME Journal, 11(6), 1291–1304. 10.1038/ismej.2017.18
Doi 10.1038/ismej.2017.18
Publication Date 21 Mar 2017
Publication Type Article
Researcher Christina Toft
Ontology Transcriptomics, Model organisms, Evolutionary modelling, Invertebrates
Research Groups Panomics and Evolutionary Systems Microbiology (I2SYSBIO)
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