Memorias de investigación
Artículos en revistas:
Scaling laws in bacterial genomes: A side-effect of selection of mutational robustness?
Año:2010
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
In the past few years, numerous research projects have focused on identifying and understanding scaling properties in the gene content of prokaryote genomes and the intricacy of their regulation networks. Yet, and despite the increasing amount of data available, the origins of these scalings remain an open question. The RAevol model, a digital genetics model, provides us with an insight into the mechanisms involved in an evolutionary process. The results we present here show that (i) our model reproduces qualitatively these scaling laws and that (ii) these laws are not due to differences in lifestyles but to differences in the spontaneous rates of mutations and rearrangements. We argue that this is due to an indirect selective pressure for robustness that constrains the genome size.
Internacional
Si
JCR del ISI
Si
Título de la revista
BIOSYSTEMS
ISSN
0303-2647
Factor de impacto JCR
1,267
Información de impacto
Volumen
102
DOI
Número de revista
1
Desde la página
32
Hasta la página
40
Mes
OCTUBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: Guillaume Beslon
  • Participante: David P. Parsons
  • Participante: Yolanda Sanchez-Dehesa
  • Autor: Jose Maria Peña Sanchez UPM
  • Participante: Carole Knibbe
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB