Literature DB >> 17021382

Optimal gene partition into operons correlates with gene functional order.

Alon Zaslaver1, Avi Mayo, Michal Ronen, Uri Alon.   

Abstract

Gene arrangement into operons varies between bacterial species. Genes in a given system can be on one operon in some organisms and on several operons in other organisms. Existing theories explain why genes that work together should be on the same operon, since this allows for advantageous lateral gene transfer and accurate stoichiometry. But what causes the frequent separation into multiple operons of co-regulated genes that act together in a pathway? Here we suggest that separation is due to benefits made possible by differential regulation of each operon. We present a simple mathematical model for the optimal distribution of genes into operons based on a balance of the cost of operons and the benefit of regulation that provides 'just-when-needed' temporal order. The analysis predicts that genes are arranged such that genes on the same operon do not skip functional steps in the pathway. This prediction is supported by genomic data from 137 bacterial genomes. Our work suggests that gene arrangement is not only the result of random historical drift, genome re-arrangement and gene transfer, but has elements that are solutions of an evolutionary optimization problem. Thus gene functional order may be inferred by analyzing the operon structure across different genomes.

Mesh:

Year:  2006        PMID: 17021382     DOI: 10.1088/1478-3975/3/3/003

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  26 in total

1.  Optimality and thermodynamics determine the evolution of transcriptional regulatory networks.

Authors:  Marco Avila-Elchiver; Deepak Nagrath; Martin L Yarmush
Journal:  Mol Biosyst       Date:  2011-11-10

2.  Minimal effect of gene clustering on expression in Escherichia coli.

Authors:  Lusha W Liang; Razika Hussein; Dena H S Block; Han N Lim
Journal:  Genetics       Date:  2012-12-05       Impact factor: 4.562

3.  Investigation on the Evolutionary Relation of Diverse Polyhydroxyalkanoate Gene Clusters in Betaproteobacteria.

Authors:  Gurusamy Kutralam-Muniasamy; Rodolfo Marsch; Fermín Pérez-Guevara
Journal:  J Mol Evol       Date:  2018-07-31       Impact factor: 2.395

4.  Footprints of optimal protein assembly strategies in the operonic structure of prokaryotes.

Authors:  Jan Ewald; Martin Kötzing; Martin Bartl; Christoph Kaleta
Journal:  Metabolites       Date:  2015-04-28

5.  Refactoring the nitrogen fixation gene cluster from Klebsiella oxytoca.

Authors:  Karsten Temme; Dehua Zhao; Christopher A Voigt
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-16       Impact factor: 11.205

6.  Conditions for the evolution of gene clusters in bacterial genomes.

Authors:  Sara Ballouz; Andrew R Francis; Ruiting Lan; Mark M Tanaka
Journal:  PLoS Comput Biol       Date:  2010-02-12       Impact factor: 4.475

7.  Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models.

Authors:  Simon Rogers; Mark Girolami; Walter Kolch; Katrina M Waters; Tao Liu; Brian Thrall; H Steven Wiley
Journal:  Bioinformatics       Date:  2008-10-30       Impact factor: 6.937

Review 8.  Coevolution of the Organization and Structure of Prokaryotic Genomes.

Authors:  Marie Touchon; Eduardo P C Rocha
Journal:  Cold Spring Harb Perspect Biol       Date:  2016-01-04       Impact factor: 10.005

9.  Deciphering chemotaxis pathways using cross species comparisons.

Authors:  Rebecca Hamer; Pao-Yang Chen; Judith P Armitage; Gesine Reinert; Charlotte M Deane
Journal:  BMC Syst Biol       Date:  2010-01-11

10.  The adaptation of temperate bacteriophages to their host genomes.

Authors:  Louis-Marie Bobay; Eduardo P C Rocha; Marie Touchon
Journal:  Mol Biol Evol       Date:  2012-12-12       Impact factor: 16.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.