Literature DB >> 14595101

Mutational bias affects protein evolution in flowering plants.

Huai-chun Wang1, Gregory A C Singer, Donal A Hickey.   

Abstract

Amino acid sequences from several thousand homologous gene pairs were compared for two plant genomes, Oryza sativa and Arabidopsis thaliana. The Arabidopsis genes all have similar G+C (guanine plus cytosine) contents, whereas their homologs in rice span a wide range of G+C levels. The results show that those rice genes that display increased divergence in their nucleotide composition (specifically, increased G+C content) showed a corresponding, predictable change in the amino acid compositions of the encoded proteins relative to their Arabidopsis homologs. This trend was not seen in a "control" set of rice genes that had nucleotide contents closer to their Arabidopsis homologs. In addition to showing an overall difference in the amino acid composition of the homologous proteins, we were also able to investigate the biased patterns of amino acid substitution since the divergence of these two species. We found that the amino acid exchange matrix was highly asymmetric when comparing the High G+C rice genes with their Arabidopsis homologs. Finally, we investigated the possible causes of this biased pattern of sequence evolution. Our results indicate that the biased pattern of protein evolution is the consequence, rather than the cause, of the corresponding changes in nucleotide content. In fact, there is an even more marked asymmetry in the patterns of substitution at synonymous nucleotide sites. Surprisingly, there is a very strong negative correlation between the level of nucleotide bias and the length of the coding sequences within the rice genome. This difference in gene length may provide important clues about the underlying mechanisms.

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Year:  2003        PMID: 14595101     DOI: 10.1093/molbev/msh003

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


  29 in total

1.  Mutational bias plays an important role in shaping longevity-related amino acid content in mammalian mtDNA-encoded proteins.

Authors:  Juan Carlos Aledo; Héctor Valverde; João Pedro de Magalhães
Journal:  J Mol Evol       Date:  2012-06-30       Impact factor: 2.395

2.  Amino acid compositional shifts during streptophyte transitions to terrestrial habitats.

Authors:  Richard W Jobson; Yin-Long Qiu
Journal:  J Mol Evol       Date:  2010-12-14       Impact factor: 2.395

3.  Impact of mating systems on patterns of sequence polymorphism in flowering plants.

Authors:  Sylvain Glémin; Eric Bazin; Deborah Charlesworth
Journal:  Proc Biol Sci       Date:  2006-12-07       Impact factor: 5.349

4.  Widespread genome duplications throughout the history of flowering plants.

Authors:  Liying Cui; P Kerr Wall; James H Leebens-Mack; Bruce G Lindsay; Douglas E Soltis; Jeff J Doyle; Pamela S Soltis; John E Carlson; Kathiravetpilla Arumuganathan; Abdelali Barakat; Victor A Albert; Hong Ma; Claude W dePamphilis
Journal:  Genome Res       Date:  2006-05-15       Impact factor: 9.043

5.  Nucleotide substitution bias within the genus Drosophila affects the pattern of proteome evolution.

Authors:  Mihai Albu; Xiang Jia Min; G Brian Golding; Donal Hickey
Journal:  Genome Biol Evol       Date:  2009-08-04       Impact factor: 3.416

6.  GC3 biology in corn, rice, sorghum and other grasses.

Authors:  Tatiana V Tatarinova; Nickolai N Alexandrov; John B Bouck; Kenneth A Feldmann
Journal:  BMC Genomics       Date:  2010-05-16       Impact factor: 3.969

7.  Modeling compositional dynamics based on GC and purine contents of protein-coding sequences.

Authors:  Zhang Zhang; Jun Yu
Journal:  Biol Direct       Date:  2010-11-08       Impact factor: 4.540

8.  Genomic and proteomic adaptations to growth at high temperature.

Authors:  Donal A Hickey; Gregory A C Singer
Journal:  Genome Biol       Date:  2004-09-30       Impact factor: 13.583

9.  Insights into corn genes derived from large-scale cDNA sequencing.

Authors:  Nickolai N Alexandrov; Vyacheslav V Brover; Stanislav Freidin; Maxim E Troukhan; Tatiana V Tatarinova; Hongyu Zhang; Timothy J Swaller; Yu-Ping Lu; John Bouck; Richard B Flavell; Kenneth A Feldmann
Journal:  Plant Mol Biol       Date:  2008-10-21       Impact factor: 4.076

10.  DNA asymmetric strand bias affects the amino acid composition of mitochondrial proteins.

Authors:  Xiang Jia Min; Donal A Hickey
Journal:  DNA Res       Date:  2007-11-01       Impact factor: 4.458

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