Literature DB >> 17021276

Selective constraints on codon usage of nuclear genes from Arabidopsis thaliana.

Brian R Morton1, Stephen I Wright.   

Abstract

Highly expressed nuclear genes from Arabidopsis thaliana show an increased frequency of codons that match abundant tRNAs, and it has been suggested that this reflects a selective pressure to increase translation efficiency. Here we explore the possibility that the difference in codon usage between highly expressed genes and other Arabidopsis genes is not the result of selection but, rather, arises from mutation biases. Specifically, we explore the possibility that an influence of transcription level on mutational properties coupled with a context dependency of mutations, both of which have been observed in various organisms, contribute to variation in codon-usage bias across genes. Using noncoding sites immediately flanking both high- and low-expression-coding sequences to infer context-dependent composition biases, we analyze codon-usage bias across genes. The data show that mutation bias cannot explain codon usage of high-expression genes in Arabidopsis and, surprisingly, also indicate that even low-expression genes are under selective constraints. In addition, the data indicate that the general preference for certain codons is context dependent; the composition of the 3' nucleotide, that is, the first position of the next codon, is correlated with what codon is found at an increased frequency in highly expressed genes. This context dependency indicates that selective pressure on codon usage is more complex than previously thought. Overall, the study supports previous suggestions that selection plays a significant role in determining codon usage of nuclear genes in A. thaliana.

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Year:  2006        PMID: 17021276     DOI: 10.1093/molbev/msl139

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


  16 in total

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8.  Translation Efficiency in Upstream Region of microRNA Targets in Arabidopsis thaliana.

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Journal:  Evol Bioinform Online       Date:  2012-09-25       Impact factor: 1.625

9.  Transcription-related mutations and GC content drive variation in nucleotide substitution rates across the genomes of Arabidopsis thaliana and Arabidopsis lyrata.

Authors:  Leah J DeRose-Wilson; Brandon S Gaut
Journal:  BMC Evol Biol       Date:  2007-04-23       Impact factor: 3.260

10.  Identification of SSRs and differentially expressed genes in two cultivars of celery (Apium graveolens L.) by deep transcriptome sequencing.

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