Acta Agrestia Sinica ›› 2024, Vol. 32 ›› Issue (6): 1752-1759.DOI: 10.11733/j.issn.1007-0435.2024.06.011

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Codon Usage bias Analysis of Trifolium pratense Based on Transcriptome Data

HUA Mei1, LYU Li-juan2, MU Ying-tong1, ZHANG Xiao-ming1, HAO Ning1, WANG Jun-jie1, LIU Yuan1   

  1. 1. Inner Mongolia Autonomous Region Sino-Mongolia Medicinal Materials Breeding Engineering Technology Research Center, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Huhhot, Inner Mongolia 010019, China;
    2. Hohhot Forestry and Grassland Bureau, Hohhot, Inner Mongolia 010019, China
  • Received:2024-01-12 Revised:2024-03-25 Published:2024-06-29

基于转录组数据的红三叶密码子使用偏好性分析

花梅1, 吕丽娟2, 穆赢通1, 张晓明1, 郝宁1, 王俊杰1, 刘媛1   

  1. 1. 内蒙古农业大学草原与资源环境学院, 内蒙古自治区中蒙药材良种育繁工程技术研究中心, 内蒙古 呼和浩特 010019;
    2. 呼和浩特市林业和草原局, 内蒙古 呼和浩特 010019
  • 通讯作者: 刘媛,E-mail:624383076@qq.com
  • 作者简介:花梅(1982-),女,蒙古族,内蒙古赤峰人,博士,主要从事牧草与药用植物栽培及育种工作,E-mail:845806925@qq.com
  • 基金资助:
    内蒙古农业大学动植物育种专项“抗寒型白三叶品种选育”(YZGC2017009);内蒙古自治区科技计划“草地多功能兼用型草种高效繁育与加工利用技术集成(2022YFDZ0025);内蒙古自治区科技计划“小秦艽野生栽培驯化及种子繁育关键技术研究”(2023YFHH011302);内蒙古自治区教育科学“十四五”规划课题(NGJGH2023405);内蒙古自治区高校中(蒙)药材生态种植工程研究中心(培育)项目资助

Abstract: This study investigates the codon usage bias in of Trifolium pratense L.,laying the foundation for optimizing codon composition. The codon usage patterns and bias of 5 513 coding sequences of Trifolium pratense leaf transcriptome were analyzed using software such as CodonW,R,and CUSP. The study indicated that there was a weak correlation between GC3 and GC12,indicating that selection pressure plays a certain role in codon usage bias. In the ENC-plot analysis,most codons showed relatively weak usage bias,suggesting that selection pressure was the main driver of bias,while a few genes were evenly distributed on both sides of the expected curve,indicating the influence of mutational pressure on some genes. CAI analysis revealed that gene expression levels had a certain impact on the process of codon usage bias,with a CAI of 0.201 indicating relatively weak bias. Biased analysis further confirmed that codon usage bias in Trifolium pratense was mainly influenced by mutational pressure. Analysis of optimal codons showed that the optimal codons in the transcriptome of Trifolium pratense preferentially end with G or C. These results are beneficial for optimizing codon usage in genetic engineering studies of Trifolium pratense and are of significant importance for the systematic evolution research of Trifolium pratense.

Key words: Trifolium pratense leaves, Codon preference, Transcriptome, Encoding sequence

摘要: 研究红三叶(Trifolium pratense L.)叶片的密码子使用偏好性,可为优化密码子组成奠定基础。研究通过CodonW,R,CUSP等软件对红三叶叶片转录组中5 513条编码序列进行密码子使用模式和偏好性分析。研究发现,GC3与GC12相关性较弱,表明选择压力对其密码子偏好性的选择有一定的作用;ENC-plot分析中,大多数密码子偏好性相对较弱,表明选择压力是偏好性的主要来源,少数的基因在期望曲线两侧均衡散布,表明部分基因受突变压力的作用;密码子适应度值(Codon adaptation index,CAI)分析可知,基因表达水平对密码子偏好性产生过程具有一定影响作用,CAI为0.201,表明密码子偏好性比较弱。偏倚性分析进一步证实红三叶叶片密码子偏好性重点受突变压力的影响。最优密码子分析表明,红三叶叶片转录组序列的最优密码子更偏好以G或C结尾。结果有利于红三叶基因工程研究中密码子优化,对红三叶的系统进化研究具有重要意义。

关键词: 红三叶叶片, 密码子偏好性, 转录组, 编码序列

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