2013
DOI: 10.1093/nar/gkt1336
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Molecular mechanisms of adaptation emerging from the physics and evolution of nucleic acids and proteins

Abstract: DNA, RNA and proteins are major biological macromolecules that coevolve and adapt to environments as components of one highly interconnected system. We explore here sequence/structure determinants of mechanisms of adaptation of these molecules, links between them, and results of their mutual evolution. We complemented statistical analysis of genomic and proteomic sequences with folding simulations of RNA molecules, unraveling causal relations between compositional and sequence biases reflecting molecular adapt… Show more

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Cited by 26 publications
(58 citation statements)
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References 70 publications
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“…The debate of the nature of the relationship between growth temperature and GC content, especially GC3, has gone on for more than 40 years. Most data and analyses in prokaryotes failed to show a positive correlation between genomic GC content, especially GC3 and T OPT (Galtier and Lobry, ; Hurst and Merchant, ; Basak and Ghosh, ; Goncearenco et al ., ), although the result of Musto et al . () did support this.…”
Section: Discussionmentioning
confidence: 74%
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“…The debate of the nature of the relationship between growth temperature and GC content, especially GC3, has gone on for more than 40 years. Most data and analyses in prokaryotes failed to show a positive correlation between genomic GC content, especially GC3 and T OPT (Galtier and Lobry, ; Hurst and Merchant, ; Basak and Ghosh, ; Goncearenco et al ., ), although the result of Musto et al . () did support this.…”
Section: Discussionmentioning
confidence: 74%
“…() did support this. This may be explained by the fact that most of these studies examined very distant phylogenetic groups that included eubacteria and archaea (Galtier and Lobry, ; Hurst and Merchant, ; Basak and Ghosh, ; Goncearenco et al ., ), but the work of Musto et al . () examined more phylogenetically closer groups.…”
Section: Discussionmentioning
confidence: 96%
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“…The noticeable split of the predictions into a hydrophobic and charged arms is reminiscent of the positive and negative design hypotheses, 18 and may be also due to the specific structure of the Miyazawa-Jernigan amino acid interaction matrix, with only two major eigenvalues. 45 To compare the prediction of our theory with biological data, we used a dataset of 191 bacteria and archaea with completely sequenced genomes and known optimum growth temperatures 46 in the range between 7 and 103 • C. We have then performed the linear regression between the frequencies of each of the 20 amino acid types and optimum growth temperature, and plotted the slopes of that regression against the theoretical predictions from Eq. (15).…”
Section: Random Energy Model Of Protein Thermal Adaptationmentioning
confidence: 99%
“…It is well known that archaeal and bacterial genomes and proteomes differ in their nucleotide and amino acid compositions (54), and that the composition of protein-protein binding sites may also differ among species (55). However, the evolutionary trends in the composition and physicochemical properties of unique protein-binding sites have not been analyzed in detail previously.…”
Section: Physicochemical Properties Of Binding Sites and Their Taxonomentioning
confidence: 99%