title: GC-Content of Synonymous Codons Profoundly Influences Amino Acid Usage.
abstract: Amino acids typically are encoded by multiple synonymous codons that are not used with the same frequency. Codon usage bias has drawn considerable attention, and several explanations have been offered, including variation in GC-content between species. Focusing on a simple parameter-combined GC proportion of all the synonymous codons for a particular amino acid, termed GCsyn-we try to deepen our understanding of the relationship between GC-content and amino acid/codon usage in more details. We analyzed 65 widely distributed representative species and found a close association between GCsyn, GC-content, and amino acids usage. The overall usages of the four amino acids with the greatest GCsyn and the five amino acids with the lowest GCsyn both vary with the regional GC-content, whereas the usage of the remaining 11 amino acids with intermediate GCsyn is less variable. More interesting, we discovered that codon usage frequencies are nearly constant in regions with similar GC-content. We further quantified the effects of regional GC-content variation (low to high) on amino acid usage and found that GC-content determines the usage variation of amino acids, especially those with extremely high GCsyn, which accounts for 76.7% of the changed GC-content for those regions. Our results suggest that GCsyn correlates with GC-content and has impact on codon/amino acid usage. These findings suggest a novel approach to understanding the role of codon and amino acid usage in shaping genomic architecture and evolutionary patterns of organisms.
authors.affiliation: State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210093, China Institute for Research on Cancer and Aging, Nice (IRCAN), Nice, France.
authors.forename: Jing
authors.initials: J
authors.lastname: Li
authors.affiliation: Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts dtian@nju.edu.cn jzhou@oeb.harvard.edu.
authors.forename: Jun
authors.initials: J
authors.lastname: Zhou
authors.affiliation: State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210093, China Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland.
authors.forename: Ying
authors.initials: Y
authors.lastname: Wu
authors.affiliation: State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210093, China.
authors.forename: Sihai
authors.initials: S
authors.lastname: Yang
authors.affiliation: State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210093, China dtian@nju.edu.cn jzhou@oeb.harvard.edu.
authors.forename: Dacheng
authors.initials: D
authors.lastname: Tian
mesh_terms: D000596:Amino Acids; D001482:Base Composition; D003062:Codon; D019295:Computational Biology; D030541:Databases, Genetic; D023281:Genomics
chemical_list: D000596:Amino Acids; D003062:Codon
keywords: GC-content; amino acid usage; codon usage; synonymous codon