Scaling laws in bacterial genomes: A side-effect of selection of mutational robustness?

Beslon, Guillaume, Parsons, David, Sanchez Dehesa, Yolanda, Peña Sánchez, José María ORCID: https://orcid.org/0000-0001-9123-1020 and Knibbeb, Carole (2010). Scaling laws in bacterial genomes: A side-effect of selection of mutational robustness?. "Biosystems", v. 102 (n. 1); pp. 32-40. ISSN 0303-2647. https://doi.org/10.1016/j.biosystems.2010.07.009.

Descripción

Título: Scaling laws in bacterial genomes: A side-effect of selection of mutational robustness?
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Biosystems
Fecha: Octubre 2010
ISSN: 0303-2647
Volumen: 102
Número: 1
Materias:
ODS:
Palabras Clave Informales: Modelling; Scaling laws; Gene content; Transcription Factors; Mutational robustness; Evolvability
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Arquitectura y Tecnología de Sistemas Informáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 7241
Identificador DC: https://oa.upm.es/7241/
Identificador OAI: oai:oa.upm.es:7241
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5485222
Identificador DOI: 10.1016/j.biosystems.2010.07.009
URL Oficial: http://www.sciencedirect.com/science/article/pii/S...
Depositado por: Memoria Investigacion
Depositado el: 14 Jun 2011 10:29
Ultima Modificación: 12 Nov 2025 00:00