Analysis of codon usage patterns of the chloroplast genome in Delphinium grandiflorum L. reveals a preference for AT-ending codons as a result of major selection constraints

对翠雀花(Delphinium grandiflorum L.)叶绿体基因组密码子使用模式的分析表明,由于主要选择压力,该物种偏好使用以AT结尾的密码子。

阅读:1

Abstract

BACKGROUND: Codon usage bias analysis is a suitable strategy for identifying the principal evolutionary driving forces in different organisms. Delphinium grandiflorum L. is a perennial herb with high economic value and typical biological characteristics. Evolutionary analysis of D. grandiflorum can provide a rich resource of genetic information for developing hybridization resources of the genus Delphinium. METHODS: Synonymous codon usage (SCU) and related indices of 51 coding sequences from the D. grandiflorum chloroplast (cp) genome were calculated using Codon W, Cups of EMBOSS, SPSS and Microsoft Excel. Multivariate statistical analysis combined by principal component analysis (PCA), correspondence analysis (COA), PR2-plot mapping analysis and ENC plot analysis was then conducted to explore the factors affecting the usage of synonymous codons. RESULTS: The SCU bias of D. grandiflorum was weak and codons preferred A/T ending. A SCU imbalance between A/T and G/C at the third base position was revealed by PR2-plot mapping analysis. A total of eight codons were identified as the optimal codons. The PCA and COA results indicated that base composition (GC content, GC(3) content) and gene expression were important for SCU bias. A majority of genes were distributed below the expected curve from the ENC plot analysis and up the standard curve by neutrality plot analysis. Our results showed that with the exception of notable mutation pressure effects, the majority of genetic evolution in the D. grandiflorum cp genome might be driven by natural selection. DISCUSSIONS: Our results provide a theoretical foundation for elucidating the genetic architecture and mechanisms of D. grandiflorum, and contribute to enriching D. grandiflorum genetic resources.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。