Literature DB >> 17119011

Variation in evolutionary processes at different codon positions.

Lee Bofkin1, Nick Goldman.   

Abstract

Evolutionary studies commonly model single nucleotide substitutions and assume that they occur as independent draws from a unique probability distribution across the sequence studied. This assumption is violated for protein-coding sequences, and we consider modeling approaches where codon positions (CPs) are treated as separate categories of sites because within each category the assumption is more reasonable. Such "codon-position" models have been shown to explain the evolution of codon data better than homogenous models in previous studies. This paper examines the ways in which codon-position models outperform homogeneous models and characterizes the differences in estimates of model parameters across CPs. Using the PANDIT database of multiple species DNA sequence alignments, we quantify the differences in the evolutionary processes at the 3 CPs in a systematic and comprehensive manner, characterizing previously undescribed features of protein evolution. We relate our findings to the functional constraints imposed by the genetic code, protein function, and the types of mutation that cause synonymous and nonsynonymous codon changes. The results increase our understanding of selective constraints and could be incorporated into phylogenetic analyses or gene-finding techniques in the future. The methods used are extended to an overlapping reading frame data set, and we discover that overlapping reading frames do not necessarily cause more stringent evolutionary constraints.

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Year:  2006        PMID: 17119011     DOI: 10.1093/molbev/msl178

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  23 in total

1.  A unified model explaining the offsets of overlapping and near-overlapping prokaryotic genes.

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2.  RNAcode: robust discrimination of coding and noncoding regions in comparative sequence data.

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Review 3.  Statistics and truth in phylogenomics.

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Journal:  Mol Biol Evol       Date:  2011-08-26       Impact factor: 16.240

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6.  Modeling compositional dynamics based on GC and purine contents of protein-coding sequences.

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7.  The Evolution of Severe Acute Respiratory Syndrome Coronavirus-2 during Pandemic and Adaptation to the Host.

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Journal:  J Mol Evol       Date:  2021-05-15       Impact factor: 3.973

8.  Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance.

Authors:  Zhang Zhang; Jun Li; Peng Cui; Feng Ding; Ang Li; Jeffrey P Townsend; Jun Yu
Journal:  BMC Bioinformatics       Date:  2012-03-22       Impact factor: 3.169

9.  A domain damage index to prioritizing the pathogenicity of missense variants.

Authors:  Hua-Chang Chen; Jing Wang; Qi Liu; Yu Shyr
Journal:  Hum Mutat       Date:  2021-08-15       Impact factor: 4.878

10.  The evolutionary relationship between microbial rhodopsins and metazoan rhodopsins.

Authors:  Libing Shen; Chao Chen; Hongxiang Zheng; Li Jin
Journal:  ScientificWorldJournal       Date:  2013-02-11
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