Malakondaiah Animireddy China, Arora Ajay, Krishna Hari, Taria Sukumar, Kumar Sudhir, Devate Narayana Bhat, Padaria Jasdeep Chatrath, Kousalya Sekar, Patil Sahana Police, Singh Pradeep Kumar
Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Protoplasma. 2025 Jan 14. doi: 10.1007/s00709-025-02031-7.
Stay-green (SG) and stem reserve mobilization (SRM) are two significant mutually exclusive traits, which contributes to grain-filling during drought and heat stress in wheat. The current research was conducted in a genome-wide association study (GWAS) panel consisting of 278 wheat genotypes of advanced breeding lines to find the markers linked with SG and SRM traits and also to screen the superior genotypes. SG and SRM traits, viz. soil plant analysis development (SPAD) value, canopy temperature (CT), normalized difference vegetation index (NDVI), leaf senescence rate (LSR) and stem reserve mobilization efficiency (SRE) were recorded. The trial was conducted in α-lattice design, under control and combined heat and drought stress (HD). Analysis of variance and descriptive statistics showed a significant difference across the evaluated traits. The highest mean of SRE (31.7%) and SRM (0.42 g/stem) was reported in HD, while highest SRE in HD and lowest in control was 52.56% and 15.7%, respectively. Genotyping was carried out using the 35 K Axiom R Wheat Breeder's Array, 14,625 SNPs were kept after filtering. Through GWAS, 36 significant marker trait associations (MTAs) were identified on 16 distinct chromosomes; out of this, 22 MTAs were found under control and 14 MTAs under HD. Candidate genes that code for UDP-glycosyltransferase 73C4-like and protein detoxification 40-like was linked to SPAD and CT respectively. One MTAs was detected for SRM on chromosome 6B that code for wall associated receptor kinase 4 like. These SNPs can be utilized to generate cultivars that adapt to climate change by a marker-assisted gene transfer.
持绿性(SG)和茎储备动员(SRM)是两个重要的相互排斥的性状,它们有助于小麦在干旱和热胁迫期间的籽粒灌浆。当前的研究是在一个由278个先进育种系小麦基因型组成的全基因组关联研究(GWAS)群体中进行的,以寻找与SG和SRM性状相关的标记,并筛选出优良基因型。记录了SG和SRM性状,即土壤植物分析发展(SPAD)值、冠层温度(CT)、归一化植被指数(NDVI)、叶片衰老率(LSR)和茎储备动员效率(SRE)。试验采用α-格子设计,在对照以及热旱复合胁迫(HD)条件下进行。方差分析和描述性统计表明,各评估性状间存在显著差异。HD条件下SRE的最高平均值(31.7%)和SRM的最高平均值(0.42 g/茎)被报道,而HD条件下SRE的最高值和对照条件下的最低值分别为52.56%和15.7%。使用35K Axiom R小麦育种家芯片进行基因分型,过滤后保留了14625个单核苷酸多态性(SNP)。通过GWAS,在16条不同染色体上鉴定出36个显著的标记-性状关联(MTA);其中,22个MTA在对照条件下被发现,14个MTA在HD条件下被发现。分别编码类UDP-糖基转移酶73C4和类蛋白解毒40的候选基因与SPAD和CT相关。在6B染色体上检测到一个与SRM相关的MTA,其编码类壁相关受体激酶4。这些SNP可用于通过标记辅助基因转移培育适应气候变化的品种。