Cargando…
Genome-wide codon usage bias analysis in Beauveria bassiana
Codon usage bias analysis allows in identifying the factors that are influencing and contributing to shape the evolution of the organisms. Therefore, it is of interest to analyze 10363 gene sequences from Beauveria bassiana. The GC content with 51.50% is higher than the AT content (48.50%) in B. bas...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563670/ https://www.ncbi.nlm.nih.gov/pubmed/31223217 http://dx.doi.org/10.6026/97320630014580 |
Sumario: | Codon usage bias analysis allows in identifying the factors that are influencing and contributing to shape the evolution of the organisms. Therefore, it is of interest to analyze 10363 gene sequences from Beauveria bassiana. The GC content with 51.50% is higher than the AT content (48.50%) in B. bassiana. The fungal nuclear genes tend to be GC rich and predominantly G/C ending. Codon usage bias exhibited by B. bassiana is based on the Relative Synonymous Codon Usage (RSCU) values of 61 sense codons, of which 28 codons are with RSCU value larger than 1. Other factors like Nucleotide composition, mutational pressure and selection also has a role in shaping the codon usage bias. We identified 24 optimal codons that end with G or C. Correlation analysis suggests existence of translational efficiency of amino acids. Based on the GC3s distribution evolution of the B. bassiana genes is by the contribution of mutation pressure. ENC may be the major factor in shaping the codon usage bias. This study provides insights into the compositional selection pressure of the genes in B. bassiana |
---|