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dc.contributor.author
Nuñez, Pablo Alfredo
dc.contributor.author
Hector, Romero
dc.contributor.author
Farber, Marisa Diana
dc.contributor.author
Rocha, Eduardo
dc.date.available
2016-12-07T19:01:47Z
dc.date.issued
2013-11
dc.identifier.citation
Nuñez, Pablo Alfredo; Hector, Romero; Farber, Marisa Diana; Rocha, Eduardo; Natural Selection for operons depends on genome size; Oxford University Press; Genome Biology and Evolution; 5; 11; 11-2013; 2242-2254
dc.identifier.issn
1759-6653
dc.identifier.uri
http://hdl.handle.net/11336/9011
dc.description.abstract
In prokaryotes, genome size is associated with metabolic versatility, regulatory complexity, effective population size and horizontal transfer rates. We therefore analyzed the co-variation of genome size and operon conservation to assess the evolutionary models of operon formation and maintenance. In agreement with previous results, intra-operonic pairs of essential and of highly expressed genes are more conserved. Interestingly, intra-operonic pairs of genes are also more conserved when they encode proteins at similar cell concentrations, suggesting a role of co-transcription in diminishing the cost of waste and shortfall in gene expression. Larger genomes have fewer and smaller operons that are also less conserved. Importantly, lower conservation in larger genomes was observed for all classes of operons in terms of gene expression, essentiality and balanced protein concentration. We reached very similar conclusions in independent analyses of three major bacterial clades (α- and β-Proteobacteria and Firmicutes). Operon conservation is inversely correlated to the abundance of transcription factors in the genome when controlled for genome size. This suggests a negative association between the complexity of genetic networks and operon conservation. These results show that genome size and/or its proxies are key determinants of the intensity of natural selection for operon organization. Our data fits better the evolutionary models based on the advantage of co-regulation than those based on genetic linkage or stochastic gene expression. We suggest that larger genomes with highly complex genetic networks and many transcription factors endure weaker selection for operons than smaller genomes with fewer alternative tools for genetic regulation.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Oxford University Press
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Operons
dc.subject
Prokaryotes
dc.subject
Evolution
dc.subject.classification
Biología
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Natural Selection for operons depends on genome size
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-11-23T18:18:48Z
dc.journal.volume
5
dc.journal.number
11
dc.journal.pagination
2242-2254
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Nuñez, Pablo Alfredo. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Hector, Romero. Universidad de la Republica; Uruguay
dc.description.fil
Fil: Farber, Marisa Diana. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Rocha, Eduardo. Instituto Pasteur; Francia
dc.journal.title
Genome Biology and Evolution
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://gbe.oxfordjournals.org/content/5/11/2242
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845653/
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