[1]张海霞,王玉道,许雪妮.苜蓿质膜内在蛋白编码基因MsPIPs家族的密码子偏好性分析[J].江苏农业学报,2021,(06):1393-1399.[doi:doi:10.3969/j.issn.1000-4440.2021.05.005]
 ZHANG Hai-xia,WANG Yu-dao,XU Xue-ni.Codon usage bias analysis of MsPIPs gene family which encode plasma membrane intrinsic proteins in alfalfa[J].,2021,(06):1393-1399.[doi:doi:10.3969/j.issn.1000-4440.2021.05.005]
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苜蓿质膜内在蛋白编码基因MsPIPs家族的密码子偏好性分析()
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江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2021年06期
页码:
1393-1399
栏目:
遗传育种·生理生化
出版日期:
2021-12-30

文章信息/Info

Title:
Codon usage bias analysis of MsPIPs gene family which encode plasma membrane intrinsic proteins in alfalfa
作者:
张海霞王玉道许雪妮
(甘肃省民勤县林业技术推广站,甘肃民勤733300)
Author(s):
ZHANG Hai-xiaWANG Yu-daoXU Xue-ni
(Forestry Technology Popularization Station of Minqin County in Gansu Province, Minqin 733300, China)
关键词:
质膜内在蛋白密码子偏好性自然选择突变
Keywords:
plasma membrane intrinsic proteinscodon usage biasnatural selectionmutation
分类号:
S551+.7
DOI:
doi:10.3969/j.issn.1000-4440.2021.05.005
文献标志码:
A
摘要:
利用CodonW软件分析苜蓿质膜内在蛋白编码基因(MsPIPs)的密码子组成,发现它们的密码子在碱基使用中存在偏倚,偏好使用以T/A结尾的密码子,其中T结尾的密码子出现频率为47%。MsPIPs密码子的平均有效密码子数(ENC)为45.47个,偏好性较弱。通过主成分分析(PCA)、对应性分析(COA)、偏倚分析(PR2)、有效密码子数分析(ENC plot)和中性分析等多重分析方法对苜蓿MsPIPs密码子偏好性的成因进行分析,发现苜蓿MsPIPs的偏好性主要受自然选择的影响。
Abstract:
By using software CodonW to analyze the codon composition of plasma intrinsic protein encoded by MsPIPs gene in alfalfa, it was found that the codons showed bias in nucleobase use, the codons of MsPIPs preferred T/A endings, and the frequency of occurrence of T-ending codons was 47%. The average effective number of codons (ENC) of MsPIPs codons was 45.47, which had a weak codon bias. Through multivariate analytical methods combined by principal component analysis (PCA), corresponding analysis (COA), parity rule 2 plot mapping analysis (PR2), ENC plot analysis and neutrality plot analysis, the reason of the codon bias of the MsPIPs gene in alfalfa was analyzed, and it was found that the bias of MsPIPs in alfalfa might be driven by natural selection.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2021-03-29作者简介:张海霞(1975-),女,甘肃民勤人,本科,高级工程师,研究方向为林草有害生物防治。(E-mail)1098149863@qq.com通讯作者:王玉道,(E-mail)1602239412@qq.com
更新日期/Last Update: 2022-01-07