Literature DB >> 17057246

Impact of transcriptional properties on essentiality and evolutionary rate.

Jung Kyoon Choi1, Sang Cheol Kim, Jungmin Seo, Sangsoo Kim, Jong Bhak.   

Abstract

We characterized general transcriptional activity and variability of eukaryotic genes from global expression profiles of human, mouse, rat, fly, plants, and yeast. The variability shows a higher degree of divergence between distant species, implying that it is more closely related to phenotypic evolution, than the activity. More specifically, we show that transcriptional variability should be a true indicator of evolutionary rate. If we rule out the effect of translational selection, which seems to operate only in yeast, the apparent slow evolution of highly expressed genes should be attributed to their low variability. Meanwhile, rapidly evolving genes may acquire a high level of transcriptional variability and contribute to phenotypic variations. Essentiality also seems to be correlated with the variability, not the activity. We show that indispensable or highly interactive proteins tend to be present in high abundance to maintain a low variability. Our results challenge the current theory that highly expressed genes are essential and evolve slowly. Transcriptional variability, rather than transcriptional activity, might be a common indicator of essentiality and evolutionary rate, contributing to the correlation between the two variables.

Entities:  

Mesh:

Year:  2006        PMID: 17057246      PMCID: PMC1775009          DOI: 10.1534/genetics.106.066027

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


  50 in total

1.  Duplicate genes increase gene expression diversity within and between species.

Authors:  Zhenglong Gu; Scott A Rifkin; Kevin P White; Wen-Hsiung Li
Journal:  Nat Genet       Date:  2004-05-02       Impact factor: 38.330

2.  Control of stochasticity in eukaryotic gene expression.

Authors:  Jonathan M Raser; Erin K O'Shea
Journal:  Science       Date:  2004-05-27       Impact factor: 47.728

3.  Statistical framework for phylogenomic analysis of gene family expression profiles.

Authors:  Xun Gu
Journal:  Genetics       Date:  2004-05       Impact factor: 4.562

4.  Solving the riddle of codon usage preferences: a test for translational selection.

Authors:  Mario dos Reis; Renos Savva; Lorenz Wernisch
Journal:  Nucleic Acids Res       Date:  2004-09-24       Impact factor: 16.971

5.  Determinants of substitution rates in mammalian genes: expression pattern affects selection intensity but not mutation rate.

Authors:  L Duret; D Mouchiroud
Journal:  Mol Biol Evol       Date:  2000-01       Impact factor: 16.240

6.  The signature of selection mediated by expression on human genes.

Authors:  Araxi O Urrutia; Laurence D Hurst
Journal:  Genome Res       Date:  2003-09-15       Impact factor: 9.043

7.  Effects of gene expression on molecular evolution in Arabidopsis thaliana and Arabidopsis lyrata.

Authors:  Stephen I Wright; C B Kenneth Yau; Mark Looseley; Blake C Meyers
Journal:  Mol Biol Evol       Date:  2004-06-16       Impact factor: 16.240

8.  Evolutionary rate depends on number of protein-protein interactions independently of gene expression level: response.

Authors:  Jesse D Bloom; Christoph Adami
Journal:  BMC Evol Biol       Date:  2004-06-01       Impact factor: 3.260

9.  Noise minimization in eukaryotic gene expression.

Authors:  Hunter B Fraser; Aaron E Hirsh; Guri Giaever; Jochen Kumm; Michael B Eisen
Journal:  PLoS Biol       Date:  2004-04-27       Impact factor: 8.029

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

View more
  11 in total

Review 1.  Structural and functional constraints in the evolution of protein families.

Authors:  Catherine L Worth; Sungsam Gong; Tom L Blundell
Journal:  Nat Rev Mol Cell Biol       Date:  2009-09-16       Impact factor: 94.444

2.  Dosage compensation on the active X chromosome minimizes transcriptional noise of X-linked genes in mammals.

Authors:  Shanye Yin; Ping Wang; Wenjun Deng; Hancheng Zheng; Landian Hu; Laurence D Hurst; Xiangyin Kong
Journal:  Genome Biol       Date:  2009-07-13       Impact factor: 13.583

3.  Mistranslation-induced protein misfolding as a dominant constraint on coding-sequence evolution.

Authors:  D Allan Drummond; Claus O Wilke
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

4.  Building a statistical model for predicting cancer genes.

Authors:  Ivan P Gorlov; Christopher J Logothetis; Shenying Fang; Olga Y Gorlova; Christopher Amos
Journal:  PLoS One       Date:  2012-11-15       Impact factor: 3.240

5.  Comparative transcriptomics in the Triticeae.

Authors:  Andreas W Schreiber; Tim Sutton; Rico A Caldo; Elena Kalashyan; Ben Lovell; Gwenda Mayo; Gary J Muehlbauer; Arnis Druka; Robbie Waugh; Roger P Wise; Peter Langridge; Ute Baumann
Journal:  BMC Genomics       Date:  2009-06-29       Impact factor: 3.969

6.  Evolutionary rates and centrality in the yeast gene regulatory network.

Authors:  Richard Jovelin; Patrick C Phillips
Journal:  Genome Biol       Date:  2009-04-09       Impact factor: 13.583

7.  Genomic analysis of the relationship between gene expression variation and DNA polymorphism in Drosophila simulans.

Authors:  Mara K N Lawniczak; Alisha K Holloway; David J Begun; Corbin D Jones
Journal:  Genome Biol       Date:  2008-08-12       Impact factor: 13.583

8.  The effects of protein interactions, gene essentiality and regulatory regions on expression variation.

Authors:  Linqi Zhou; Xiaotu Ma; Fengzhu Sun
Journal:  BMC Syst Biol       Date:  2008-06-26

9.  Biophysical fitness landscapes for transcription factor binding sites.

Authors:  Allan Haldane; Michael Manhart; Alexandre V Morozov
Journal:  PLoS Comput Biol       Date:  2014-07-10       Impact factor: 4.475

10.  Partial AUC maximization for essential gene prediction using genetic algorithms.

Authors:  Kyu-Baek Hwang; Beom-Yong Ha; Sanghun Ju; Sangsoo Kim
Journal:  BMB Rep       Date:  2013-01       Impact factor: 4.778

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.