Qiao Linyi, Li Yijuan, Wang Liujie, Gu Chunxia, Luo Shiyin, Li Xin, Yan Jinlong, Lu Chengda, Chang Zhijian, Gao Wei, Zhang Xiaojun
College of Agronomy, Shanxi Key Laboratory of Crop Genetics and Molecular Improvement, Shanxi Agricultural University, Taiyuan 030031, China.
Millet Research Institute, Shanxi Agricultural University, Changzhi 046011, China.
Plants (Basel). 2024 Sep 21;13(18):2642. doi: 10.3390/plants13182642.
The leaf is not only the main site of photosynthesis, but also an important organ reflecting plant salt tolerance. Discovery of salt-stress-responding genes in the leaf is of great significance for the molecular improvement of salt tolerance in wheat varieties. In this study, transcriptome sequencing was conducted on the leaves of salt-tolerant wheat germplasm CH7034 seedlings at 0, 1, 6, 24, and 48 h after NaCl treatment. Based on weighted gene correlation network analysis of differentially expressed genes (DEGs) under salt stress, 12 co-expression modules were obtained, of which, 9 modules containing 4029 DEGs were related to the salt stress time-course. These DEGs were submitted to the Wheat Union database, and a total of 904,588 SNPs were retrieved from 114 wheat germplasms, distributed on 21 wheat chromosomes. Using the R language package and GAPIT program, association analysis was performed between 904,588 SNPs and leaf salt injury index of 114 wheat germplasms. The results showed that 30 single nucleotide polymorphisms (SNPs) from 15 DEGs were associated with salt tolerance. Then, nine candidate genes, including four genes (, , , and ) encoding enzymes as well as five genes (, , , , and ) encoding functional proteins, were identified by converting salt tolerance-related SNPs into Kompetitive Allele-Specifc PCR (KASP) markers for validation. Finally, interaction network prediction was performed on and , both belonging to the Turquoise module. Our results will contribute to a further understanding of the salt stress response mechanism in plant leaves and provide candidate genes and molecular markers for improving salt-tolerant wheat varieties.
叶片不仅是光合作用的主要场所,也是反映植物耐盐性的重要器官。在叶片中发现盐胁迫响应基因对于小麦品种耐盐性的分子改良具有重要意义。本研究对耐盐小麦种质CH7034幼苗在NaCl处理后0、1、6、24和48小时的叶片进行了转录组测序。基于盐胁迫下差异表达基因(DEGs)的加权基因共表达网络分析,获得了12个共表达模块,其中9个包含4029个DEGs的模块与盐胁迫时间进程相关。将这些DEGs提交到小麦联合数据库,从114份小麦种质中总共检索到904588个单核苷酸多态性(SNP),分布在21条小麦染色体上。使用R语言包和GAPIT程序,对904588个SNP与114份小麦种质的叶片盐害指数进行了关联分析。结果表明,来自15个DEGs的30个单核苷酸多态性(SNP)与耐盐性相关。然后,通过将耐盐性相关的SNP转化为竞争性等位基因特异性PCR(KASP)标记进行验证,鉴定出9个候选基因,包括4个编码酶的基因(、、、和)以及5个编码功能蛋白的基因(、、、、和)。最后,对属于绿松石模块的和进行了相互作用网络预测。我们的结果将有助于进一步了解植物叶片中的盐胁迫响应机制,并为改良耐盐小麦品种提供候选基因和分子标记。
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