Literature DB >> 22887818

Why transcription factor binding sites are ten nucleotides long.

Alexander J Stewart1, Sridhar Hannenhalli, Joshua B Plotkin.   

Abstract

Gene expression is controlled primarily by transcription factors, whose DNA binding sites are typically 10 nt long. We develop a population-genetic model to understand how the length and information content of such binding sites evolve. Our analysis is based on an inherent trade-off between specificity, which is greater in long binding sites, and robustness to mutation, which is greater in short binding sites. The evolutionary stable distribution of binding site lengths predicted by the model agrees with the empirical distribution (5-31 nt, with mean 9.9 nt for eukaryotes), and it is remarkably robust to variation in the underlying parameters of population size, mutation rate, number of transcription factor targets, and strength of selection for proper binding and selection against improper binding. In a systematic data set of eukaryotic and prokaryotic transcription factors we also uncover strong relationships between the length of a binding site and its information content per nucleotide, as well as between the number of targets a transcription factor regulates and the information content in its binding sites. Our analysis explains these features as well as the remarkable conservation of binding site characteristics across diverse taxa.

Mesh:

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Year:  2012        PMID: 22887818      PMCID: PMC3522170          DOI: 10.1534/genetics.112.143370

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  41 in total

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Authors:  David C Krakauer; Joshua B Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-29       Impact factor: 11.205

Review 2.  Evolutionary developmental biology and the problem of variation.

Authors:  D L Stern
Journal:  Evolution       Date:  2000-08       Impact factor: 3.694

3.  The effects of selection against spurious transcription factor binding sites.

Authors:  Matthew W Hahn; Jason E Stajich; Gregory A Wray
Journal:  Mol Biol Evol       Date:  2003-04-25       Impact factor: 16.240

4.  PRODORIC: prokaryotic database of gene regulation.

Authors:  Richard Münch; Karsten Hiller; Heiko Barg; Dana Heldt; Simone Linz; Edgar Wingender; Dieter Jahn
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

5.  On the selection and evolution of regulatory DNA motifs.

Authors:  Ulrich Gerland; Terence Hwa
Journal:  J Mol Evol       Date:  2002-10       Impact factor: 2.395

6.  Physical constraints and functional characteristics of transcription factor-DNA interaction.

Authors:  Ulrich Gerland; J David Moroz; Terence Hwa
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-06       Impact factor: 11.205

7.  Evolution of eukaryotic transcription circuits.

Authors:  Brian B Tuch; Hao Li; Alexander D Johnson
Journal:  Science       Date:  2008-03-28       Impact factor: 47.728

8.  Specificity and robustness in transcription control networks.

Authors:  Anirvan M Sengupta; Marko Djordjevic; Boris I Shraiman
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

9.  Transcriptional regulatory networks in Saccharomyces cerevisiae.

Authors:  Tong Ihn Lee; Nicola J Rinaldi; François Robert; Duncan T Odom; Ziv Bar-Joseph; Georg K Gerber; Nancy M Hannett; Christopher T Harbison; Craig M Thompson; Itamar Simon; Julia Zeitlinger; Ezra G Jennings; Heather L Murray; D Benjamin Gordon; Bing Ren; John J Wyrick; Jean-Bosco Tagne; Thomas L Volkert; Ernest Fraenkel; David K Gifford; Richard A Young
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

10.  Position specific variation in the rate of evolution in transcription factor binding sites.

Authors:  Alan M Moses; Derek Y Chiang; Manolis Kellis; Eric S Lander; Michael B Eisen
Journal:  BMC Evol Biol       Date:  2003-08-28       Impact factor: 3.260

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  54 in total

1.  Evolutionary meandering of intermolecular interactions along the drift barrier.

Authors:  Michael Lynch; Kyle Hagner
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-22       Impact factor: 11.205

2.  Tracheophytes Contain Conserved Orthologs of a Basic Helix-Loop-Helix Transcription Factor That Modulate ROOT HAIR SPECIFIC Genes.

Authors:  Youra Hwang; Hee-Seung Choi; Hyun-Min Cho; Hyung-Taeg Cho
Journal:  Plant Cell       Date:  2017-01-13       Impact factor: 11.277

3.  The evolution of complex gene regulation by low-specificity binding sites.

Authors:  Alexander J Stewart; Joshua B Plotkin
Journal:  Proc Biol Sci       Date:  2013-08-14       Impact factor: 5.349

4.  Sexual antagonism drives the displacement of polymorphism across gene regulatory cascades.

Authors:  Mark S Hill; Max Reuter; Alexander J Stewart
Journal:  Proc Biol Sci       Date:  2019-06-05       Impact factor: 5.349

5.  Informational requirements for transcriptional regulation.

Authors:  Patrick K O'Neill; Robert Forder; Ivan Erill
Journal:  J Comput Biol       Date:  2014-04-01       Impact factor: 1.479

Review 6.  ChIP-ping the branches of the tree: functional genomics and the evolution of eukaryotic gene regulation.

Authors:  Georgi K Marinov; Anshul Kundaje
Journal:  Brief Funct Genomics       Date:  2018-03-01       Impact factor: 4.241

7.  Diffusion of DNA-Binding Species in the Nucleus: A Transient Anomalous Subdiffusion Model.

Authors:  Michael J Saxton
Journal:  Biophys J       Date:  2020-04-04       Impact factor: 4.033

Review 8.  Cis-regulatory programs in the development and evolution of vertebrate paired appendages.

Authors:  Andrew R Gehrke; Neil H Shubin
Journal:  Semin Cell Dev Biol       Date:  2016-01-16       Impact factor: 7.727

9.  Deficiencies in Molecular Dynamics Simulation-Based Prediction of Protein-DNA Binding Free Energy Landscapes.

Authors:  Morteza Khabiri; Peter L Freddolino
Journal:  J Phys Chem B       Date:  2017-05-16       Impact factor: 2.991

Review 10.  Cis-regulatory elements and human evolution.

Authors:  Adam Siepel; Leonardo Arbiza
Journal:  Curr Opin Genet Dev       Date:  2014-09-16       Impact factor: 5.578

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