Literature DB >> 25723843

How do regulatory networks evolve and expand throughout evolution?

Karin Voordeckers1, Ksenia Pougach1, Kevin J Verstrepen2.   

Abstract

Throughout evolution, regulatory networks need to expand and adapt to accommodate novel genes and gene functions. However, the molecular details explaining how gene networks evolve remain largely unknown. Recent studies demonstrate that changes in transcription factors contribute to the evolution of regulatory networks. In particular, duplication of transcription factors followed by specific mutations in their DNA-binding or interaction domains propels the divergence and emergence of new networks. The innate promiscuity and modularity of regulatory networks contributes to their evolvability: duplicated promiscuous regulators and their target promoters can acquire mutations that lead to gradual increases in specificity, allowing neofunctionalization or subfunctionalization.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Mesh:

Year:  2015        PMID: 25723843     DOI: 10.1016/j.copbio.2015.02.001

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  39 in total

1.  Bacilli glutamate dehydrogenases diverged via coevolution of transcription and enzyme regulation.

Authors:  Lianet Noda-Garcia; Maria Luisa Romero Romero; Liam M Longo; Ilana Kolodkin-Gal; Dan S Tawfik
Journal:  EMBO Rep       Date:  2017-05-03       Impact factor: 8.807

2.  CLIPB8 is part of the prophenoloxidase activation system in Anopheles gambiae mosquitoes.

Authors:  Xin Zhang; Chunju An; KaraJo Sprigg; Kristin Michel
Journal:  Insect Biochem Mol Biol       Date:  2016-02-27       Impact factor: 4.714

Review 3.  The evolution of a G1/S transcriptional network in yeasts.

Authors:  Adi Hendler; Edgar M Medina; Nicolas E Buchler; Robertus A M de Bruin; Amir Aharoni
Journal:  Curr Genet       Date:  2017-07-25       Impact factor: 3.886

4.  Inference and Evolutionary Analysis of Genome-Scale Regulatory Networks in Large Phylogenies.

Authors:  Christopher Koch; Jay Konieczka; Toni Delorey; Ana Lyons; Amanda Socha; Kathleen Davis; Sara A Knaack; Dawn Thompson; Erin K O'Shea; Aviv Regev; Sushmita Roy
Journal:  Cell Syst       Date:  2017-05-24       Impact factor: 10.304

5.  Predicting bacterial promoter function and evolution from random sequences.

Authors:  Mato Lagator; Srdjan Sarikas; Calin C Guet; Gašper Tkačik; Magdalena Steinrueck; David Toledo-Aparicio; Jonathan P Bollback
Journal:  Elife       Date:  2022-01-26       Impact factor: 8.140

6.  Conservation of Specificity in Two Low-Specificity Proteins.

Authors:  Lucas C Wheeler; Jeremy A Anderson; Anneliese J Morrison; Caitlyn E Wong; Michael J Harms
Journal:  Biochemistry       Date:  2017-12-29       Impact factor: 3.162

7.  Evolutionary Context Improves Regulatory Network Predictions.

Authors:  Jonathan L Gordon; Brigida Gallone; Steven Maere; Kevin J Verstrepen
Journal:  Cell Syst       Date:  2017-05-24       Impact factor: 10.304

Review 8.  Evolution of the CNS myelin gene regulatory program.

Authors:  Huiliang Li; William D Richardson
Journal:  Brain Res       Date:  2015-10-22       Impact factor: 3.252

9.  An insight on the impact of teleost whole genome duplication on the regulation of the molecular networks controlling skeletal muscle growth.

Authors:  Bruno Oliveira Silva Duran; Daniel Garcia de la Serrana; Bruna Tereza Thomazini Zanella; Erika Stefani Perez; Edson Assunção Mareco; Vander Bruno Santos; Robson Francisco Carvalho; Maeli Dal-Pai-Silva
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

10.  Evolutionarily conserved hierarchical gene regulatory networks for plant salt stress response.

Authors:  Ting-Ying Wu; HonZhen Goh; Christina B Azodi; Shalini Krishnamoorthi; Ming-Jung Liu; Daisuke Urano
Journal:  Nat Plants       Date:  2021-05-27       Impact factor: 15.793

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