Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Scaling laws in bacterial genomes: A side-effect of selection of mutational robustness?
Year:2010
Research Areas
  • Artificial intelligence
Information
Abstract
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.
International
Si
JCR
Si
Title
BIOSYSTEMS
ISBN
0303-2647
Impact factor JCR
1,267
Impact info
Volume
102
Journal number
1
From page
32
To page
40
Month
OCTUBRE
Ranking
Participants
  • Participante: Guillaume Beslon
  • Participante: David P. Parsons
  • Participante: Yolanda Sanchez-Dehesa
  • Autor: Jose Maria Peña Sanchez (UPM)
  • Participante: Carole Knibbe
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)