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Bacterial adaptation through loss of function.
Hottes, Alison K; Freddolino, Peter L; Khare, Anupama; Donnell, Zachary N; Liu, Julia C; Tavazoie, Saeed.
Afiliación
  • Hottes AK; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
PLoS Genet ; 9(7): e1003617, 2013.
Article en En | MEDLINE | ID: mdl-23874220
ABSTRACT
The metabolic capabilities and regulatory networks of bacteria have been optimized by evolution in response to selective pressures present in each species' native ecological niche. In a new environment, however, the same bacteria may grow poorly due to regulatory constraints or biochemical deficiencies. Adaptation to such conditions can proceed through the acquisition of new cellular functionality due to gain of function mutations or via modulation of cellular networks. Using selection experiments on transposon-mutagenized libraries of bacteria, we illustrate that even under conditions of extreme nutrient limitation, substantial adaptation can be achieved solely through loss of function mutations, which rewire the metabolism of the cell without gain of enzymatic or sensory function. A systematic analysis of similar experiments under more than 100 conditions reveals that adaptive loss of function mutations exist for many environmental challenges. Drawing on a wealth of examples from published articles, we detail the range of mechanisms through which loss-of-function mutations can generate such beneficial regulatory changes, without the need for rare, specific mutations to fine-tune enzymatic activities or network connections. The high rate at which loss-of-function mutations occur suggests that null mutations play an underappreciated role in the early stages of adaption of bacterial populations to new environments.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Selección Genética / Bacterias / Adaptación Fisiológica / Evolución Molecular Dirigida Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Selección Genética / Bacterias / Adaptación Fisiológica / Evolución Molecular Dirigida Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos