Literature DB >> 11231896

Correlation between Shine--Dalgarno sequence conservation and codon usage of bacterial genes.

H Sakai1, C Imamura, Y Osada, R Saito, T Washio, M Tomita.   

Abstract

In this study, we analyzed the correlation between codon usage bias and Shine--Dalgarno (SD) sequence conservation, using complete genome sequences of nine prokaryotes. For codon usage bias, we adopted the codon adaptation index (CAI), which is based on the codon usage preference of genes encoding ribosomal proteins, elongation factors, heat shock proteins, outer membrane proteins, and RNA polymerase subunit proteins. To compute SD sequence conservation, we used SD motif sequences predicted by Tompa and systematically aligned them with 5'UTR sequences. We found that there exists a clear correlation between the CAI values and SD sequence conservation in the genomes of Escherichia coli, Bacillus subtilis, Haemophilus influenzae, Archaeoglobus fulgidus, Methanobacterium thermoautotrophicum, and Methanococcus jannaschii, and no relationship is found in M. genitalium, M. pneumoniae, and Synechocystis. That is, genes with higher CAI values tend to have more conserved SD sequences than do genes with lower CAI values in these organisms. Some organisms, such as M. thermoautotrophicum, do not clearly show the correlation. The biological significance of these results is discussed in the context of the translation initiation process and translation efficiency.

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Year:  2001        PMID: 11231896     DOI: 10.1007/s002390010145

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  9 in total

1.  Hierarchy of sequence-dependent features associated with prokaryotic translation.

Authors:  Gila Lithwick; Hanah Margalit
Journal:  Genome Res       Date:  2003-12       Impact factor: 9.043

2.  Comparative study of translation termination sites and release factors (RF1 and RF2) in procaryotes.

Authors:  Y Ozawa; R Saito; T Washio; M Tomita
Journal:  J Mol Evol       Date:  2003-06       Impact factor: 2.395

3.  Dynamic evolution of translation initiation mechanisms in prokaryotes.

Authors:  So Nakagawa; Yoshihito Niimura; Kin-ichiro Miura; Takashi Gojobori
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-22       Impact factor: 11.205

4.  Intragenic spatial patterns of codon usage bias in prokaryotic and eukaryotic genomes.

Authors:  Hong Qin; Wei Biao Wu; Josep M Comeron; Martin Kreitman; Wen-Hsiung Li
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

5.  Predicting Shine-Dalgarno sequence locations exposes genome annotation errors.

Authors:  J Starmer; A Stomp; M Vouk; D Bitzer
Journal:  PLoS Comput Biol       Date:  2006-05-19       Impact factor: 4.475

6.  Diversity of Translation Initiation Mechanisms across Bacterial Species Is Driven by Environmental Conditions and Growth Demands.

Authors:  Adam J Hockenberry; Aaron J Stern; Luís A N Amaral; Michael C Jewett
Journal:  Mol Biol Evol       Date:  2018-03-01       Impact factor: 16.240

7.  Leveraging genome-wide datasets to quantify the functional role of the anti-Shine-Dalgarno sequence in regulating translation efficiency.

Authors:  Adam J Hockenberry; Adam R Pah; Michael C Jewett; Luís A N Amaral
Journal:  Open Biol       Date:  2017-01       Impact factor: 6.411

8.  Prokaryotic coding regions have little if any specific depletion of Shine-Dalgarno motifs.

Authors:  Alisa Yurovsky; Mohammad Ruhul Amin; Justin Gardin; Yuping Chen; Steve Skiena; Bruce Futcher
Journal:  PLoS One       Date:  2018-08-23       Impact factor: 3.240

9.  Highly expressed proteins have an increased frequency of alanine in the second amino acid position.

Authors:  Age Tats; Maido Remm; Tanel Tenson
Journal:  BMC Genomics       Date:  2006-02-16       Impact factor: 3.969

  9 in total

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