Literature DB >> 10421576

Do essential genes evolve slowly?

L D Hurst1, N G Smith.   

Abstract

Approximately two thirds of all knockouts of individual mouse genes give rise to viable fertile mice. These genes have thus been termed 'non-essential' in contrast to 'essential' genes, the knockouts of which result in death or infertility. Although non-essential genes are likely to be under selection that favours sequence conservation [1], it is predicted that they are less subject to such stabilising selection than essential genes, and hence evolve faster [2]. We have addressed this issue by analysing the molecular evolution of 108 non-essential and 67 essential genes that have been sequenced in both mouse and rat. On preliminary analysis, the non-essential genes appeared to be faster evolving than the essential ones. We found, however, that the non-essential class contains a disproportionate number of immune-system genes that may be under directional selection (that is, selection favouring change) because of host-parasite coevolution. After correction for this bias, we found that the rate at which genes evolve does not correlate with the severity of the knockout phenotype. This was corroborated by the finding that, whereas neuron-specific genes have significantly lower rates of change than other genes, essential and non-essential neuronal genes have comparable rates of evolution. Our findings most probably reflect strong selection acting against even very subtle deleterious phenotypes, and indicate that the putative involvement of directional selection in host-parasite coevolution and gene expression within the nervous system explains much more of the variance in rates of gene evolution than does the knockout phenotype.

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Mesh:

Year:  1999        PMID: 10421576     DOI: 10.1016/s0960-9822(99)80334-0

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  113 in total

1.  Essential genes are more evolutionarily conserved than are nonessential genes in bacteria.

Authors:  I King Jordan; Igor B Rogozin; Yuri I Wolf; Eugene V Koonin
Journal:  Genome Res       Date:  2002-06       Impact factor: 9.043

2.  Gene loss, protein sequence divergence, gene dispensability, expression level, and interactivity are correlated in eukaryotic evolution.

Authors:  Dmitri M Krylov; Yuri I Wolf; Igor B Rogozin; Eugene V Koonin
Journal:  Genome Res       Date:  2003-10       Impact factor: 9.043

3.  Evolution and topology in the yeast protein interaction network.

Authors:  Stefan Wuchty
Journal:  Genome Res       Date:  2004-07       Impact factor: 9.043

4.  Molecular evolution in large genetic networks: does connectivity equal constraint?

Authors:  Matthew W Hahn; Gavin C Conant; Andreas Wagner
Journal:  J Mol Evol       Date:  2004-02       Impact factor: 2.395

5.  Bioinformatical assay of human gene morbidity.

Authors:  Fyodor A Kondrashov; Aleksey Y Ogurtsov; Alexey S Kondrashov
Journal:  Nucleic Acids Res       Date:  2004-03-12       Impact factor: 16.971

6.  Protein misinteraction avoidance causes highly expressed proteins to evolve slowly.

Authors:  Jian-Rong Yang; Ben-Yang Liao; Shi-Mei Zhuang; Jianzhi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-13       Impact factor: 11.205

7.  Molecular cloning, characterization and expression analysis of a CC chemokine gene from miiuy croaker (Miichthys miiuy).

Authors:  Yuanzhi Cheng; Yuena Sun; Ge Shi; Rixin Wang; Tianjun Xu
Journal:  Fish Physiol Biochem       Date:  2012-06-27       Impact factor: 2.794

8.  Molecular evolution of daphnia immunity genes: polymorphism in a gram-negative binding protein gene and an alpha-2-macroglobulin gene.

Authors:  Tom J Little; John K Colbourne; Teresa J Crease
Journal:  J Mol Evol       Date:  2004-10       Impact factor: 2.395

9.  Sex-specific functional specialization and the evolutionary rates of essential fertility genes.

Authors:  Dara G Torgerson; Brett R Whitty; Rama S Singh
Journal:  J Mol Evol       Date:  2005-10-20       Impact factor: 2.395

10.  The evolutionary analysis of "orphans" from the Drosophila genome identifies rapidly diverging and incorrectly annotated genes.

Authors:  K J Schmid; C F Aquadro
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

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