Literature DB >> 15483656

Adaptive basis of codon usage in the haploid moss Physcomitrella patens.

H K Stenøien1.   

Abstract

Patterns of codon usage bias were studied in the moss model species Physcomitrella patens. A total of 92 nuclear, protein coding genes were employed, and estimated levels of gene expression were tested for association with two measures of codon usage bias and other variables hypothesized to be associated with gene expression. Codon bias was found to be positively associated both with estimated levels of gene expression and GC content in the coding parts of studied genes. However, GC content in noncoding parts, that is, introns and 5' and 3' untranslated regions (UTRs), was not associated with estimated levels of gene expression. It is argued that codon bias is not shaped by mutational bias, but rather by weak natural selection for translational efficiency in P. patens. The possible role of life history characteristics in shaping patterns of codon usage in this species is discussed.

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Year:  2005        PMID: 15483656     DOI: 10.1038/sj.hdy.6800547

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  13 in total

1.  Global mRNA stability is not associated with levels of gene expression in Drosophila melanogaster but shows a negative correlation with codon bias.

Authors:  Hans K Stenøien; Wolfgang Stephan
Journal:  J Mol Evol       Date:  2005-07-21       Impact factor: 2.395

2.  Comparison of the chloroplast peroxidase system in the chlorophyte Chlamydomonas reinhardtii, the bryophyte Physcomitrella patens, the lycophyte Selaginella moellendorffii and the seed plant Arabidopsis thaliana.

Authors:  Nicola T Pitsch; Benjamin Witsch; Margarete Baier
Journal:  BMC Plant Biol       Date:  2010-06-28       Impact factor: 4.215

3.  Factors affecting synonymous codon usage bias in chloroplast genome of oncidium gower ramsey.

Authors:  Chen Xu; Xiaoning Cai; Quanzhan Chen; Hongxia Zhou; Yao Cai; Ailing Ben
Journal:  Evol Bioinform Online       Date:  2011-11-14       Impact factor: 1.625

4.  Mutation bias is the driving force of codon usage in the Gallus gallus genome.

Authors:  Yousheng Rao; Guozuo Wu; Zhangfeng Wang; Xuewen Chai; Qinghua Nie; Xiquan Zhang
Journal:  DNA Res       Date:  2011-10-27       Impact factor: 4.458

5.  Protein encoding genes in an ancient plant: analysis of codon usage, retained genes and splice sites in a moss, Physcomitrella patens.

Authors:  Stefan A Rensing; Dana Fritzowsky; Daniel Lang; Ralf Reski
Journal:  BMC Genomics       Date:  2005-03-22       Impact factor: 3.969

6.  Metabolic engineering of the moss Physcomitrella patens to produce the sesquiterpenoids patchoulol and α/β-santalene.

Authors:  Xin Zhan; Yu-Hua Zhang; Dong-Fang Chen; Henrik Toft Simonsen
Journal:  Front Plant Sci       Date:  2014-11-18       Impact factor: 5.753

7.  Elevation of the Yields of Very Long Chain Polyunsaturated Fatty Acids via Minimal Codon Optimization of Two Key Biosynthetic Enzymes.

Authors:  Fei Xia; Xueying Li; Xinzheng Li; Desong Zheng; Quanxi Sun; Jiang Liu; Yaxiao Li; Jinping Hua; Baoxiu Qi
Journal:  PLoS One       Date:  2016-07-19       Impact factor: 3.240

8.  Selfing in Haploid Plants and Efficacy of Selection: Codon Usage Bias in the Model Moss Physcomitrella patens.

Authors:  Péter Szövényi; Kristian K Ullrich; Stefan A Rensing; Daniel Lang; Nico van Gessel; Hans K Stenøien; Elena Conti; Ralf Reski
Journal:  Genome Biol Evol       Date:  2017-06-01       Impact factor: 3.416

9.  Translational control of recombinant human acetylcholinesterase accumulation in plants.

Authors:  Brian C Geyer; Samuel P Fletcher; Tagan A Griffin; Michael J Lopker; Hermona Soreq; Tsafrir S Mor
Journal:  BMC Biotechnol       Date:  2007-05-30       Impact factor: 2.563

10.  An ancient genome duplication contributed to the abundance of metabolic genes in the moss Physcomitrella patens.

Authors:  Stefan A Rensing; Julia Ick; Jeffrey A Fawcett; Daniel Lang; Andreas Zimmer; Yves Van de Peer; Ralf Reski
Journal:  BMC Evol Biol       Date:  2007-08-02       Impact factor: 3.260

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