Joint scaling laws in functional and evolutionary categories in prokaryotic genomes - Sorbonne Université Accéder directement au contenu
Article Dans Une Revue Nucleic Acids Research Année : 2012

Joint scaling laws in functional and evolutionary categories in prokaryotic genomes

Résumé

We propose and study a class-expansion/ innovation/loss model of genome evolution taking into account biological roles of genes and their constituent domains. In our model, numbers of genes in different functional categories are coupled to each other. For example, an increase in the number of metabolic enzymes in a genome is usually accompanied by addition of new transcription factors regulating these enzymes. Such coupling can be thought of as a proportional 'recipe' for genome composition of the type 'a spoonful of sugar for each egg yolk'. The model jointly reproduces two known empirical laws: the distribution of family sizes and the non-linear scaling of the number of genes in certain functional categories (e.g. transcription factors) with genome size. In addition, it allows us to derive a novel relation between the exponents characterizing these two scaling laws, establishing a direct quantitative connection between evolutionary and functional categories. It predicts that functional categories that grow faster-than-linearly with genome size to be characterized by flatter-than-average family size distributions. This relation is confirmed by our bioinformatics analysis of prokaryotic genomes. This proves that the joint quantitative trends of functional and evolutionary classes can be understood in terms of evolutionary growth with proportional recipes.
Fichier principal
Vignette du fichier
gkr711.pdf (4.64 Mo) Télécharger le fichier
Origine : Publication financée par une institution
Loading...

Dates et versions

hal-01527307 , version 1 (24-05-2017)

Licence

Paternité

Identifiants

Citer

J. Grilli, B. Bassetti, S. Maslov, M. Cosentino Lagomarsino. Joint scaling laws in functional and evolutionary categories in prokaryotic genomes. Nucleic Acids Research, 2012, 40 (2), pp.530-540. ⟨10.1093/nar/gkr711⟩. ⟨hal-01527307⟩
84 Consultations
73 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More