Analysis of codon usage patterns in 48 Aconitum species

被引:8
|
作者
Yang, Meihua [1 ,2 ]
Liu, Jiahao [1 ,2 ]
Yang, Wanqing [1 ,2 ]
Li, Zhen [1 ,2 ]
Hai, Yonglin [1 ,2 ]
Duan, Baozhong [1 ,2 ]
Zhang, Haizhu [1 ,3 ]
Yang, Xiaoli [1 ,2 ]
Xia, Conglong [1 ,2 ]
机构
[1] Dali Univ, Coll Pharmaceut Sci, Dali 671000, Yunnan, Peoples R China
[2] Inst Dev Yunnan Daodi Med Mat Resources, Key Lab Yunnan Prov Higher Educ, Dali 671000, Yunnan, Peoples R China
[3] Western Yunnan Tradit Chinese Med & Ethn Drug Engn, Dali 671000, Yunnan, Peoples R China
关键词
Aconitum; Optimal codon; Codon usage bias; Complete genome; CHLOROPLAST GENOME; OPTIMIZATION; EXPRESSION; EVOLUTION; BIASES; GENES;
D O I
10.1186/s12864-023-09650-5
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background The Aconitum genus is a crucial member of the Ranunculaceae family. There are 350 Aconitum species worldwide, with about 170 species found in China. These species are known for their various pharmacological effects and are commonly used to treat joint pain, cold abdominal pain, and other ailments. Codon usage bias (CUB) analysis contributes to evolutionary relationships and phylogeny. Based on protein-coding sequences (PCGs), we selected 48 species of Aconitum for CUB analysis. Results The results revealed that Aconitum species had less than 50% GC content. Furthermore, the distribution of GC content was irregular and followed a trend of GC(1 )> GC(2) > GC(3), indicating a bias towards A/T bases. The relative synonymous codon usage (RSCU) heat map revealed the presence of conservative codons with slight variations within the genus. The effective number of codons (ENC)-Plot and the parity rule 2 (PR2)-bias plot analysis indicate that natural selection is the primary factor influencing the variation in codon usage. As a result, we screened various optimal codons and found that A/T bases were preferred as the last codon. Furthermore, our Maximum Likelihood (ML) analysis based on PCGs among 48 Aconitum species yielded results consistent with those obtained from complete chloroplast (cp.) genome data. This suggests that analyzing mutation in PCGs is an efficient method for demonstrating the phylogeny of species at the genus level. Conclusions The CUB analysis of 48 species of Aconitum was mainly influenced by natural selection. This study reveals the CUB pattern of Aconitum and lays the foundation for future genetic modification and phylogenetic analyses.
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页数:13
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