生物
基因家族
基因
遗传学
基因复制
基因组
串联外显子复制
转录组
节段重复
普通小麦
系统发育树
选择性氧化酶
非生物胁迫
基因表达
染色体
作者
Shengli Zhang,Yan Chen,Tiegang Lu,Fan Yang,Yueming Ren,Jishun Zhao,Xiaoyan Shan,Yuanyuan Guan,Puwen Song,Dongfang Li,Haiyan Hu
出处
期刊:Gene
[Elsevier]
日期:2023-12-01
卷期号:888: 147756-147756
标识
DOI:10.1016/j.gene.2023.147756
摘要
Alternative oxidase (AOX) is an important terminal oxidase involved in the alternative oxidation pathway in plants, which is closely related to various biotic and abiotic stress responses. However, a comprehensive research on AOX gene family of wheat is still lacking. In this study, the members of wheat AOX (TaAOX) family were identified, and their molecular characteristics and gene expression patterns were systematically investigated. Seventeen TaAOX genes were identified from Chinese Spring (CS) genome, which were mapped on 7 chromosomes and mainly clustered on the long arm's distal end of the second homologous groups. Phylogenetic analysis showed that TaAOX genes were classified into four subgroups (Ia, Ib, Ic, and Id), and the Ia subgroup possessed the most members. Tandem duplication and segmental duplication events were found during the evolution of TaAOX genes and they were affected by purifying selection demonstrated by Ka/Ks analysis. The exon numbers of this family gene varied greatly from 1 to 9. Except for Ta3BSAOX14, all the proteins encoded by the other 16 TaAOX genes contained the amino acid residues of the key active sites in the AOX domain (cd01053). The expression patterns of TaAOX genes in various tissues and under abiotic and biotic stresses were analyzed using public transcriptome data, furthermore, qRT-PCR analysis was performed for some selected TaAOX genes, and the results suggested that most members of this gene family play an important role in response to different stresses in common wheat. Our results provide basic information and valuable reference for further exploring the gene function of TaAOX family by using gene editing, RNAi, VIGS, and other technologies.
科研通智能强力驱动
Strongly Powered by AbleSci AI