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The Pitaya Flower Tissue's Gene Differential Expression Analysis between Self-Incompatible and Self-Compatible Varieties for the Identification of Genes Involved in Self-Incompatibility Regulation

文献类型： 外文期刊

作者： Wang, Zhouwen 1 ; Wang, Meng 1 ; Ding, Yi 1 ; Li, Tao 1 ; Jiang, Senrong 2 ; Kang, Shaoling 2 ; Wei, Shuangshuang 2 ; Xie, Jun 2 ; Huang, Jiaquan 1 ; Hu, Wenbin 3 ; Li, Hongli 3 ; Tang, Hua 1 ;

作者机构： 1.Hainan Univ, Sanya Nanfan Res Inst, Sanya 572025, Peoples R China

2.Hainan Univ, Coll Trop Crops, Hainan Key Lab Sustainable Utilizat Trop Bioresour, Haikou 570228, Peoples R China

3.Chinese Acad Trop Agr Sci, Trop Crops Genet Resources Inst, Haikou 571700, Peoples R China

关键词： pitaya; self-incompatibility; transcriptome analysis; differential gene expression; S-RNase

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 14 期

页码：

收录情况： SCI

摘要： Self-incompatible pitaya varieties have low fruit-setting rates under natural conditions, leading to higher production costs and hindering industrial prosperity. Through transcriptome sequencing, we obtained the 36,900 longest transcripts (including 9167 new transcripts) from 60 samples of flowers. Samples were collected pre- and post-pollination (at 0 h, 0.5 h, 2 h, 4 h, and 12 h) from two varieties of pitaya (self-compatible Jindu No. 1 and self-incompatible Cu Sha). Using the RNA-Seq data and comparison of reference genomes, we annotated 28,817 genes in various databases, and 1740 genes were optimized in their structure for annotation. There were significant differences in the expression of differentially expressed genes (DEGs) in the pitaya stigmas under different pollination types, especially at the late post-pollination stage, where the expression of protease genes increasedal significantly under cross-pollination. We identified DEGs involved in the ribosomal, ubiquitination-mediated, and phyto-signaling pathways that may be involved in pitaya SI regulation. Based on the available transcriptome data and bioinformatics analysis, we tentatively identified HuS-RNase2 as a candidate gynogenetic S gene in the pitaya GSI system.

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