Comparative Transcriptome Profiling of CMS-D2 and CMS-D8 Systems Characterizes Fertility Restoration Genes Network in Upland Cotton

文献类型： 外文期刊

第一作者： Song, Xiatong

作者： Song, Xiatong;Wu, Jianyong;Zhang, Meng;Shahzad, Kashif;Zhang, Xuexian;Guo, Liping;Qi, Tingxiang;Tang, Huini;Wang, Hailin;Qiao, Xiuqin;Feng, Juanjuan;Han, Yang;Xing, Chaozhu;Wu, Jianyong

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关键词： upland cotton (Gossypium hirsutum L; ); CMS-D2; CMS-D8; Rf(1); Rf(2); DEGs

期刊名称：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES （ 影响因子：5.6； 五年影响因子：6.2 ）

ISSN： 1661-6596

年卷期： 2023 年 24 卷 13 期

页码：

收录情况： SCI

摘要： Resolving the genetic basis of fertility restoration for cytoplasmic male sterility (CMS) can improve the efficiency of three-line hybrid breeding. However, the genetic determinants of male fertility restoration in cotton are still largely unknown. This study comprehensively compared the full-length transcripts of CMS-D2 and CMS-D8 systems to identify potential genes linked with fertility restorer genes Rf(1) or Rf(2). Target comparative analysis revealed a higher percentage of differential genes in each restorer line as compared to their corresponding sterile and maintainer lines. An array of genes with specific expression in the restorer line of CMS-D2 had functional annotations related to floral development and pathway enrichments in various secondary metabolites, while specifically expressed genes in the CMS-D8 restorer line showed functional annotations related to anther development and pathway enrichment in the biosynthesis of secondary metabolites. Further analysis identified potentially key genes located in the target region of fertility restorer genes Rf(1) or Rf(2). In particular, Ghir_D05G032450 can be the candidate gene related to restorer gene Rf(1), and Ghir_D05G035690 can be the candidate gene associated with restorer gene Rf(2). Further gene expression validation with qRT-PCR confirmed the accuracy of our results. Our findings provide useful insights into decoding the potential regulatory network that retrieves pollen fertility in cotton and will help to further reveal the differences in the genetic basis of fertility restoration for two CMS systems.

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