Abstract
Proteins can evolve by accumulating changes on amino acid sequences. These changes are mainly caused by missense mutations on its DNA coding sequences. Mutations with neutral or positive effects on fitness can be maintained while deleterious mutations tend to be eliminated by natural selection. Amino acid changes are influenced by the biophysical, chemical, and biological properties of amino acids. There is a multiplicity of amino acid properties that can influence the function and expression of proteins. Amino acid properties can be expressed into numerical indexes, which can help to predict functional and structural aspects of proteins and allow statistical inferences of selection pressure on amino acid usage. The accuracy of these analyses may be compromised by the existence of several numerical indexes that measure the same amino acid property, and the lack of objective parameters to determine the most accurate and biologically relevant index. In the present study, the gradient consistency test was used in order to estimate the magnitude of directional selection imparted by amino acid biochemical and biophysical properties on protein evolution.
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GBF is supported by a fellowship from Sao Paulo Research Foundation-FAPESP (Grant 2018/23038–7). SRPL is supported by a grant from Brazilian Council for Scientific and Technological Development-CNPq (Grant 305783/2018–1).
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Fogalli, G.B., Line, S.R.P. Estimating the Influence of Physicochemical and Biochemical Property Indexes on Selection for Amino Acids Usage in Eukaryotic Cells. J Mol Evol 89, 257–268 (2021). https://doi.org/10.1007/s00239-021-10003-7
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DOI: https://doi.org/10.1007/s00239-021-10003-7