Literature DB >> 21911382

Testing hypotheses on the rate of molecular evolution in relation to gene expression using microRNAs.

Yang Shen1, Yang Lv, Lei Huang, Wensheng Liu, Ming Wen, Tian Tang, Rui Zhang, Eric Hungate, Suhua Shi, Chung-I Wu.   

Abstract

There exists an inverse relationship between the rate of molecular evolution and the level of gene expression. Among the many explanations, the "toxic-error" hypothesis is a most general one, which posits that processing errors may often be toxic to the cells. However, toxic errors that constrain the evolution of highly expressed genes are often difficult to measure. In this study, we test the toxic-error hypothesis by using microRNA (miRNA) genes because their processing errors can be directly measured by deep sequencing. A miRNA gene consists of a small mature product (≈22 nt long) and a "backbone." Our analysis shows that (i) like the mature miRNA, the backbone is highly conserved; (ii) the rate of sequence evolution in the backbone is negatively correlated with expression; and (iii) although conserved between distantly related species, the error rate in miRNA processing is also negatively correlated with the expression level. The observations suggest that, as a miRNA gene becomes more highly (or more ubiquitously) expressed, its sequence evolves toward a structure that minimizes processing errors.

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Year:  2011        PMID: 21911382      PMCID: PMC3179107          DOI: 10.1073/pnas.1110098108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  54 in total

1.  Evidence that microRNA precursors, unlike other non-coding RNAs, have lower folding free energies than random sequences.

Authors:  Eric Bonnet; Jan Wuyts; Pierre Rouzé; Yves Van de Peer
Journal:  Bioinformatics       Date:  2004-06-24       Impact factor: 6.937

2.  Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification.

Authors:  Itai Yanai; Hila Benjamin; Michael Shmoish; Vered Chalifa-Caspi; Maxim Shklar; Ron Ophir; Arren Bar-Even; Shirley Horn-Saban; Marilyn Safran; Eytan Domany; Doron Lancet; Orit Shmueli
Journal:  Bioinformatics       Date:  2004-09-23       Impact factor: 6.937

3.  Phylogenetic shadowing and computational identification of human microRNA genes.

Authors:  Eugene Berezikov; Victor Guryev; José van de Belt; Erno Wienholds; Ronald H A Plasterk; Edwin Cuppen
Journal:  Cell       Date:  2005-01-14       Impact factor: 41.582

Review 4.  MicroRNA biogenesis: coordinated cropping and dicing.

Authors:  V Narry Kim
Journal:  Nat Rev Mol Cell Biol       Date:  2005-05       Impact factor: 94.444

Review 5.  An integrated view of protein evolution.

Authors:  Csaba Pál; Balázs Papp; Martin J Lercher
Journal:  Nat Rev Genet       Date:  2006-05       Impact factor: 53.242

Review 6.  Biochemical evolution.

Authors:  A C Wilson; S S Carlson; T J White
Journal:  Annu Rev Biochem       Date:  1977       Impact factor: 23.643

7.  Functional genomic analysis of the rates of protein evolution.

Authors:  Dennis P Wall; Aaron E Hirsh; Hunter B Fraser; Jochen Kumm; Guri Giaever; Michael B Eisen; Marcus W Feldman
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-30       Impact factor: 11.205

8.  Nuclear export of microRNA precursors.

Authors:  Elsebet Lund; Stephan Güttinger; Angelo Calado; James E Dahlberg; Ulrike Kutay
Journal:  Science       Date:  2003-11-20       Impact factor: 47.728

9.  miRBase: microRNA sequences, targets and gene nomenclature.

Authors:  Sam Griffiths-Jones; Russell J Grocock; Stijn van Dongen; Alex Bateman; Anton J Enright
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

10.  Evolutionary rate depends on number of protein-protein interactions independently of gene expression level.

Authors:  Hunter B Fraser; Aaron E Hirsh
Journal:  BMC Evol Biol       Date:  2004-05-27       Impact factor: 3.260

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  15 in total

Review 1.  Determinants of the rate of protein sequence evolution.

Authors:  Jianzhi Zhang; Jian-Rong Yang
Journal:  Nat Rev Genet       Date:  2015-06-09       Impact factor: 53.242

2.  Pleiotropic constraints, expression level, and the evolution of miRNA sequences.

Authors:  Richard Jovelin
Journal:  J Mol Evol       Date:  2013-10-08       Impact factor: 2.395

3.  miREvo: an integrative microRNA evolutionary analysis platform for next-generation sequencing experiments.

Authors:  Ming Wen; Yang Shen; Suhua Shi; Tian Tang
Journal:  BMC Bioinformatics       Date:  2012-06-21       Impact factor: 3.169

4.  Comparative analysis of human and mouse expression data illuminates tissue-specific evolutionary patterns of miRNAs.

Authors:  Julien Roux; Mar Gonzàlez-Porta; Marc Robinson-Rechavi
Journal:  Nucleic Acids Res       Date:  2012-03-28       Impact factor: 16.971

5.  Evolutionary Comparison of Two Combinatorial Regulators of SBP-Box Genes, MiR156 and MiR529, in Plants.

Authors:  Shu-Dong Zhang; Li-Zhen Ling; Quan-Fang Zhang; Jian-Di Xu; Le Cheng
Journal:  PLoS One       Date:  2015-04-24       Impact factor: 3.240

6.  Fast-evolving microRNAs are highly expressed in the early embryo of Drosophila virilis.

Authors:  Maria Ninova; Matthew Ronshaugen; Sam Griffiths-Jones
Journal:  RNA       Date:  2014-01-21       Impact factor: 4.942

7.  Microevolution of nematode miRNAs reveals diverse modes of selection.

Authors:  Richard Jovelin; Asher D Cutter
Journal:  Genome Biol Evol       Date:  2014-10-28       Impact factor: 3.416

8.  Functional Implications of Human-Specific Changes in Great Ape microRNAs.

Authors:  Alicia Gallego; Marta Melé; Ingrid Balcells; Eva García-Ramallo; Ignasi Torruella-Loran; Hugo Fernández-Bellon; Teresa Abelló; Ivanela Kondova; Ronald Bontrop; Christina Hvilsom; Arcadi Navarro; Tomàs Marquès-Bonet; Yolanda Espinosa-Parrilla
Journal:  PLoS One       Date:  2016-04-22       Impact factor: 3.240

9.  New microRNAs in Drosophila--birth, death and cycles of adaptive evolution.

Authors:  Yang Lyu; Yang Shen; Heng Li; Yuxin Chen; Li Guo; Yixin Zhao; Eric Hungate; Suhua Shi; Chung-I Wu; Tian Tang
Journal:  PLoS Genet       Date:  2014-01-23       Impact factor: 5.917

10.  Evolutionary interrogation of human biology in well-annotated genomic framework of rhesus macaque.

Authors:  Shi-Jian Zhang; Chu-Jun Liu; Peng Yu; Xiaoming Zhong; Jia-Yu Chen; Xinzhuang Yang; Jiguang Peng; Shouyu Yan; Chenqu Wang; Xiaotong Zhu; Jingwei Xiong; Yong E Zhang; Bertrand Chin-Ming Tan; Chuan-Yun Li
Journal:  Mol Biol Evol       Date:  2014-02-27       Impact factor: 16.240

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