Literature DB >> 25582593

Reassessing the "duon" hypothesis of protein evolution.

Ke Xing1, Xionglei He2.   

Abstract

There are two distinct types of DNA sequences, namely coding sequences and regulatory sequences, in a genome. A recent study of the occupancy of transcription factors (TFs) in human cells suggested that protein-coding sequences also serve as the codes of TF occupancy, and proposed a "duon" hypothesis in which up to 15% of codons of human protein genes are constrained by the additional coding requirements that regulate gene expression. This hypothesis challenges our basic understanding on the human genome. We reanalyzed the data and found that the previous study was confounded by ascertainment bias related to base composition. Using an unbiased comparison in which G/C and A/T sites are considered separately, we reveal a similar level of conservation between TF-bound codons and TF-depleted codons, suggesting largely no extra purifying selection provided by the TF occupancy on the codons of human genes. Given the generally short binding motifs of TFs and the open chromatin structure during transcription, we argue that the occupancy of TFs on protein-coding sequences is mostly passive and evolutionarily neutral, with to-be-determined functions in the regulation of gene expression.
© The Author 2015. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  TF occupancy; dual-used codons; protein evolution

Mesh:

Substances:

Year:  2015        PMID: 25582593     DOI: 10.1093/molbev/msu409

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  12 in total

1.  Disentangling Sources of Selection on Exonic Transcriptional Enhancers.

Authors:  Rachel M Agoglia; Hunter B Fraser
Journal:  Mol Biol Evol       Date:  2015-10-24       Impact factor: 16.240

2.  Genome-Wide Transcription Factor Binding in Leaves from C3 and C4 Grasses.

Authors:  Steven J Burgess; Ivan Reyna-Llorens; Sean R Stevenson; Pallavi Singh; Katja Jaeger; Julian M Hibberd
Journal:  Plant Cell       Date:  2019-08-19       Impact factor: 11.277

3.  TF2Network: predicting transcription factor regulators and gene regulatory networks in Arabidopsis using publicly available binding site information.

Authors:  Shubhada R Kulkarni; Dries Vaneechoutte; Jan Van de Velde; Klaas Vandepoele
Journal:  Nucleic Acids Res       Date:  2018-04-06       Impact factor: 16.971

4.  The evolutionary impact of intragenic FliA promoters in proteobacteria.

Authors:  Devon M Fitzgerald; Carol Smith; Pascal Lapierre; Joseph T Wade
Journal:  Mol Microbiol       Date:  2018-03-23       Impact factor: 3.501

Review 5.  Ever-Changing Landscapes: Transcriptional Enhancers in Development and Evolution.

Authors:  Hannah K Long; Sara L Prescott; Joanna Wysocka
Journal:  Cell       Date:  2016-11-17       Impact factor: 41.582

6.  Mutation bias, rather than binding preference, underlies the nucleosome-associated G+C% variation in eukaryotes.

Authors:  Ke Xing; Xionglei He
Journal:  Genome Biol Evol       Date:  2015-03-18       Impact factor: 3.416

7.  A flexible method for estimating the fraction of fitness influencing mutations from large sequencing data sets.

Authors:  Sunjin Moon; Joshua M Akey
Journal:  Genome Res       Date:  2016-04-14       Impact factor: 9.043

Review 8.  Estimating the prevalence of functional exonic splice regulatory information.

Authors:  Rosina Savisaar; Laurence D Hurst
Journal:  Hum Genet       Date:  2017-04-12       Impact factor: 4.132

9.  Both Maintenance and Avoidance of RNA-Binding Protein Interactions Constrain Coding Sequence Evolution.

Authors:  Rosina Savisaar; Laurence D Hurst
Journal:  Mol Biol Evol       Date:  2017-05-01       Impact factor: 16.240

Review 10.  Enhancer grammar in development, evolution, and disease: dependencies and interplay.

Authors:  Granton A Jindal; Emma K Farley
Journal:  Dev Cell       Date:  2021-03-08       Impact factor: 12.270

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