ArticleGenome biology and evolution2013
Natural selection for operons depends on genome size.
Article in Genome biology and evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 27 citations in OpenAlex.
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- De novo virulence feature discovery and risk assessment in Klebsiella pneumoniae based on microbial genome vectorization.Communications biology · 2025Article
- A new selective force driving metabolic gene clustering.mSystems · 2024Article
- Experimental demonstration of operon formation catalyzed by insertion sequence.Nucleic acids research · 2022Article
- Prediction and analysis of metagenomic operons via MetaRon: a pipeline for prediction of Metagenome and whole-genome opeRons.BMC genomics · 2021Article
- Theory of prokaryotic genome evolution.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Comparative Genomics of the Extreme Acidophile Acidithiobacillus thiooxidans Reveals Intraspecific Divergence and Niche Adaptation.International journal of molecular sciences · 2016Article
- The Chthonomonas calidirosea Genome Is Highly Conserved across Geographic Locations and Distinct Chemical and Microbial Environments in New Zealand's Taupō Volcanic Zone.Applied and environmental microbiology · 2016Article
- Putative bacterial interactions from metagenomic knowledge with an integrative systems ecology approach.MicrobiologyOpen · 2016Article
- Coevolution of the Organization and Structure of Prokaryotic Genomes.Cold Spring Harbor perspectives in biology · 2016Review
- Gene Turnover Contributes to the Evolutionary Adaptation ofFrontiers in microbiology · 2016Article
- Investigating Evolutionary Dynamics of RHA1 Operons.Evolutionary bioinformatics online · 2016Article
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Authors and funding
4 authors at 4 institutions in 3 countries.
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Abstract
In prokaryotes, genome size is associated with metabolic versatility, regulatory complexity, effective population size, and horizontal transfer rates. We therefore analyzed the covariation of genome size and operon conservation to assess the evolutionary models of operon formation and maintenance. In agreement with previous results, intraoperonic pairs of essential and of highly expressed genes are more conserved. Interestingly, intraoperonic pairs of genes are also more conserved when they encode proteins at similar cell concentrations, suggesting a role of cotranscription 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 fit better the evolutionary models based on the advantage of coregulation 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.
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