Literature DB >> 9689228

Codon-anticodon assignment and detection of codon usage trends in seven microbial genomes.

Y Nakamura1, S Tabata.   

Abstract

We have assigned codon-anticodon recognition patterns for the whole set of transfer RNAs of Haemophilus influenzae Rd, Methanococcus jannaschii, and Synechocystis sp. PCC6803 using sequence information derived from the complete genome sequence of these organisms and have tabulated them along with those previously reported for Escherichia coli, Mycoplasma genitalium, Mycoplasma pneumoniae, and Saccharomyces cerevisiae. Using the resulting codon-anticodon tables, the bias in codon usage of genes encoding the entire protein and ribosomal protein complement of each of the seven microbial genomes was analyzed. Then, the codon adaptation index (CAIrp) for each protein gene was calculated using the codon usage preference of the ribosomal protein genes of the corresponding organism. Of the seven genomes examined, six showed CAIrp scores that roughly coincided with the expected level of gene expression. The result demonstrates that CAIrp analysis may be useful for prediction of the expression level of unknown genes when all or at least considerable portions of the genome sequence are available.

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Year:  1997        PMID: 9689228     DOI: 10.1089/omi.1.1997.2.299

Source DB:  PubMed          Journal:  Microb Comp Genomics        ISSN: 1090-6592


  10 in total

1.  Codon usage tabulated from international DNA sequence databases: status for the year 2000.

Authors:  Y Nakamura; T Gojobori; T Ikemura
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Synechocystis sp. PCC 6803 - a useful tool in the study of the genetics of cyanobacteria.

Authors:  M Ikeuchi; S Tabata
Journal:  Photosynth Res       Date:  2001       Impact factor: 3.573

3.  A Single Nucleotide Change in the polC DNA Polymerase III in Clostridium thermocellum Is Sufficient To Create a Hypermutator Phenotype.

Authors:  Anthony Lanahan; Kamila Zakowicz; Liang Tian; Daniel G Olson; Lee R Lynd
Journal:  Appl Environ Microbiol       Date:  2021-10-20       Impact factor: 5.005

4.  tRNASer(CGA) differentially regulates expression of wild-type and codon-modified papillomavirus L1 genes.

Authors:  Wenyi Gu; Mengrong Li; Wei Ming Zhao; Ning Xia Fang; Shurui Bu; Ian H Frazer; Kong-Nan Zhao
Journal:  Nucleic Acids Res       Date:  2004-08-19       Impact factor: 16.971

5.  Analysis of the codon use frequency of AMPK family genes from different species.

Authors:  Qin Zhang; Sheng Zhao; Hong Chen; Xiaolin Liu; Li Zhang; Fei Li
Journal:  Mol Biol Rep       Date:  2008-01-11       Impact factor: 2.316

6.  OPTIMIZER: a web server for optimizing the codon usage of DNA sequences.

Authors:  Pere Puigbò; Eduard Guzmán; Antoni Romeu; Santiago Garcia-Vallvé
Journal:  Nucleic Acids Res       Date:  2007-04-16       Impact factor: 16.971

7.  A simple model based on mutation and selection explains trends in codon and amino-acid usage and GC composition within and across genomes.

Authors:  R D Knight; S J Freeland; L F Landweber
Journal:  Genome Biol       Date:  2001-03-22       Impact factor: 13.583

8.  Codon-Driven Translational Efficiency Is Stable across Diverse Mammalian Cell States.

Authors:  Konrad L M Rudolph; Bianca M Schmitt; Diego Villar; Robert J White; John C Marioni; Claudia Kutter; Duncan T Odom
Journal:  PLoS Genet       Date:  2016-05-11       Impact factor: 5.917

9.  Variation and selection on codon usage bias across an entire subphylum.

Authors:  Abigail L LaBella; Dana A Opulente; Jacob L Steenwyk; Chris Todd Hittinger; Antonis Rokas
Journal:  PLoS Genet       Date:  2019-07-31       Impact factor: 5.917

10.  Trends in the codon usage patterns of Chromohalobacter salexigens genes.

Authors:  Rajkumari Sanjukta; Mohammad Samir Farooqi; Naveen Sharma; Anil Rai; Dwijesh Chandra Mishra; Dhananjaya P Singh
Journal:  Bioinformation       Date:  2012-11-13
  10 in total

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