Literature DB >> 16497302

Optimal growth temperature of prokaryotes correlates with class II amino acid composition.

Liron Klipcan1, Ilya Safro, Boris Temkin, Mark Safro.   

Abstract

Partitioning of aminoacyl-tRNA synthetases and their associated amino acids into two classes allows us to distinguish between thermophilic and mesophilic species based only on amino acids composition. The CLASSDB program has been developed for amino acid content analysis in organisms treated individually or pooled together to form a pattern of characteristic properties. A strong correlation has been observed between optimal growth temperature (OGT) of organisms and class II amino acids content. Amino acid composition in organisms closely related phylogenetically but dissimilar in their OGT testifies that thermo-adaptation happens rather rapidly on the time scale of evolution.

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Year:  2006        PMID: 16497302     DOI: 10.1016/j.febslet.2006.02.013

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  6 in total

1.  Structure and lability of archaeal dehydroquinase.

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Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2008-09-30

2.  Gene-centric association analysis for the correlation between the guanine-cytosine content levels and temperature range conditions of prokaryotic species.

Authors:  Hao Zheng; Hongwei Wu
Journal:  BMC Bioinformatics       Date:  2010-12-14       Impact factor: 3.169

3.  Protein and DNA sequence determinants of thermophilic adaptation.

Authors:  Konstantin B Zeldovich; Igor N Berezovsky; Eugene I Shakhnovich
Journal:  PLoS Comput Biol       Date:  2006-11-30       Impact factor: 4.475

4.  Protein Homeostasis Imposes a Barrier on Functional Integration of Horizontally Transferred Genes in Bacteria.

Authors:  Shimon Bershtein; Adrian W R Serohijos; Sanchari Bhattacharyya; Michael Manhart; Jeong-Mo Choi; Wanmeng Mu; Jingwen Zhou; Eugene I Shakhnovich
Journal:  PLoS Genet       Date:  2015-10-20       Impact factor: 5.917

5.  Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns.

Authors:  Pieter Meysman; Cheng Zhou; Boris Cule; Bart Goethals; Kris Laukens
Journal:  BioData Min       Date:  2015-01-31       Impact factor: 2.522

6.  Using first passage statistics to extract environmentally dependent amino acid correlations.

Authors:  Benjamin D Greenbaum; Pradeep Kumar; Albert Libchaber
Journal:  PLoS One       Date:  2014-07-07       Impact factor: 3.240

  6 in total

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