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The GC Content as a Main Factor Shaping the Amino Acid Usage During Bacterial Evolution Process

Understanding how proteins evolve is important, and the order of amino acids being recruited into the genetic codons was found to be an important factor shaping the amino acid composition of proteins. The latest work about the last universal common ancestor (LUCA) makes it possible to determine the...

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Autores principales: Du, Meng-Ze, Zhang, Changjiang, Wang, Huan, Liu, Shuo, Wei, Wen, Guo, Feng-Biao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292993/
https://www.ncbi.nlm.nih.gov/pubmed/30581420
http://dx.doi.org/10.3389/fmicb.2018.02948
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author Du, Meng-Ze
Zhang, Changjiang
Wang, Huan
Liu, Shuo
Wei, Wen
Guo, Feng-Biao
author_facet Du, Meng-Ze
Zhang, Changjiang
Wang, Huan
Liu, Shuo
Wei, Wen
Guo, Feng-Biao
author_sort Du, Meng-Ze
collection PubMed
description Understanding how proteins evolve is important, and the order of amino acids being recruited into the genetic codons was found to be an important factor shaping the amino acid composition of proteins. The latest work about the last universal common ancestor (LUCA) makes it possible to determine the potential factors shaping amino acid compositions during evolution. Those LUCA genes/proteins from Methanococcus maripaludis S2, which is one of the possible LUCA, were investigated. The evolutionary rates of these genes positively correlate with GC contents with P-value significantly lower than 0.05 for 94% homologous genes. Linear regression results showed that compositions of amino acids coded by GC-rich codons positively contribute to the evolutionary rates, while these amino acids tend to be gained in GC-rich organisms according to our results. The first principal component correlates with the GC content very well. The ratios of amino acids of the LUCA proteins coded by GC rich codons positively correlate with the GC content of different bacteria genomes, while the ratios of amino acids coded by AT rich codons negatively correlate with the increase of GC content of genomes. Next, we found that the recruitment order does correlate with the amino acid compositions, but gain and loss in codons showed newly recruited amino acids are not significantly increased along with the evolution. Thus, we conclude that GC content is a primary factor shaping amino acid compositions. GC content shapes amino acid composition to trade off the cost of amino acids with bases, which could be caused by the energy efficiency.
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spelling pubmed-62929932018-12-21 The GC Content as a Main Factor Shaping the Amino Acid Usage During Bacterial Evolution Process Du, Meng-Ze Zhang, Changjiang Wang, Huan Liu, Shuo Wei, Wen Guo, Feng-Biao Front Microbiol Microbiology Understanding how proteins evolve is important, and the order of amino acids being recruited into the genetic codons was found to be an important factor shaping the amino acid composition of proteins. The latest work about the last universal common ancestor (LUCA) makes it possible to determine the potential factors shaping amino acid compositions during evolution. Those LUCA genes/proteins from Methanococcus maripaludis S2, which is one of the possible LUCA, were investigated. The evolutionary rates of these genes positively correlate with GC contents with P-value significantly lower than 0.05 for 94% homologous genes. Linear regression results showed that compositions of amino acids coded by GC-rich codons positively contribute to the evolutionary rates, while these amino acids tend to be gained in GC-rich organisms according to our results. The first principal component correlates with the GC content very well. The ratios of amino acids of the LUCA proteins coded by GC rich codons positively correlate with the GC content of different bacteria genomes, while the ratios of amino acids coded by AT rich codons negatively correlate with the increase of GC content of genomes. Next, we found that the recruitment order does correlate with the amino acid compositions, but gain and loss in codons showed newly recruited amino acids are not significantly increased along with the evolution. Thus, we conclude that GC content is a primary factor shaping amino acid compositions. GC content shapes amino acid composition to trade off the cost of amino acids with bases, which could be caused by the energy efficiency. Frontiers Media S.A. 2018-12-07 /pmc/articles/PMC6292993/ /pubmed/30581420 http://dx.doi.org/10.3389/fmicb.2018.02948 Text en Copyright © 2018 Du, Zhang, Wang, Liu, Wei and Guo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Du, Meng-Ze
Zhang, Changjiang
Wang, Huan
Liu, Shuo
Wei, Wen
Guo, Feng-Biao
The GC Content as a Main Factor Shaping the Amino Acid Usage During Bacterial Evolution Process
title The GC Content as a Main Factor Shaping the Amino Acid Usage During Bacterial Evolution Process
title_full The GC Content as a Main Factor Shaping the Amino Acid Usage During Bacterial Evolution Process
title_fullStr The GC Content as a Main Factor Shaping the Amino Acid Usage During Bacterial Evolution Process
title_full_unstemmed The GC Content as a Main Factor Shaping the Amino Acid Usage During Bacterial Evolution Process
title_short The GC Content as a Main Factor Shaping the Amino Acid Usage During Bacterial Evolution Process
title_sort gc content as a main factor shaping the amino acid usage during bacterial evolution process
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292993/
https://www.ncbi.nlm.nih.gov/pubmed/30581420
http://dx.doi.org/10.3389/fmicb.2018.02948
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