Panigrahi Sourav, Kumar Upendra, Swami Sonu, Singh Yogita, Balyan Priyanka, Singh Krishna Pal, Dhankher Om Parkash, Varshney Rajeev K, Roorkiwal Manish, Amiri Khaled Ma, Mir Reyazul Rouf
Department of Molecular Biology & Biotechnology, College of Biotechnology, CCS Haryana Agricultural University, Hisar, 125004, India.
Department of Plant Science, Mahatma Jyotiba Phule Rohilkhand University, Bareilly, 243001, India.
BMC Genomics. 2024 May 2;25(1):439. doi: 10.1186/s12864-024-10336-9.
Chickpea is prone to many abiotic stresses such as heat, drought, salinity, etc. which cause severe loss in yield. Tolerance towards these stresses is quantitative in nature and many studies have been done to map the loci influencing these traits in different populations using different markers. This study is an attempt to meta-analyse those reported loci projected over a high-density consensus map to provide a more accurate information on the regions influencing heat, drought, cold and salinity tolerance in chickpea.
A meta-analysis of QTL reported to be responsible for tolerance to drought, heat, cold and salinity stress tolerance in chickpeas was done. A total of 1512 QTL responsible for the concerned abiotic stress tolerance were collected from literature, of which 1189 were projected on a chickpea consensus genetic map. The QTL meta-analysis predicted 59 MQTL spread over all 8 chromosomes, responsible for these 4 kinds of abiotic stress tolerance in chickpea. The physical locations of 23 MQTL were validated by various marker-trait associations and genome-wide association studies. Out of these reported MQTL, CaMQAST1.1, CaMQAST4.1, CaMQAST4.4, CaMQAST7.8, and CaMQAST8.2 were suggested to be useful for different breeding approaches as they were responsible for high per cent variance explained (PVE), had small intervals and encompassed a large number of originally reported QTL. Many putative candidate genes that might be responsible for directly or indirectly conferring abiotic stress tolerance were identified in the region covered by 4 major MQTL- CaMQAST1.1, CaMQAST4.4, CaMQAST7.7, and CaMQAST6.4, such as heat shock proteins, auxin and gibberellin response factors, etc. CONCLUSION: The results of this study should be useful for the breeders and researchers to develop new chickpea varieties which are tolerant to drought, heat, cold, and salinity stresses.
鹰嘴豆易受多种非生物胁迫，如高温、干旱、盐渍化等，这些胁迫会导致产量严重损失。对这些胁迫的耐受性本质上是数量性状，并且已经进行了许多研究，使用不同的标记在不同群体中定位影响这些性状的基因座。本研究试图对那些报道的基因座进行元分析，并将其投影到高密度共识图谱上，以提供关于鹰嘴豆中影响耐热、耐旱、耐寒和耐盐性区域的更准确信息。
对报道的与鹰嘴豆耐旱、耐热、耐寒和耐盐胁迫耐受性相关的QTL进行了元分析。从文献中总共收集了1512个与相关非生物胁迫耐受性有关的QTL，其中1189个投影到鹰嘴豆共识遗传图谱上。QTL元分析预测了分布在所有8条染色体上的59个MQTL，它们负责鹰嘴豆的这4种非生物胁迫耐受性。23个MQTL的物理位置通过各种标记-性状关联和全基因组关联研究得到了验证。在这些报道的MQTL中，CaMQAST1.1、CaMQAST4.1、CaMQAST4.4、CaMQAST7.8和CaMQAST8.2被认为对不同的育种方法有用，因为它们解释的变异百分率（PVE）高，区间小，并且包含大量最初报道的QTL。在4个主要MQTL（CaMQAST1.1、CaMQAST4.4、CaMQAST7.7和CaMQAST6.4）覆盖的区域中，鉴定出许多可能直接或间接赋予非生物胁迫耐受性的推定候选基因，如热休克蛋白、生长素和赤霉素反应因子等。
本研究结果应有助于育种者和研究人员培育出耐旱、耐热、耐寒和耐盐胁迫的新型鹰嘴豆品种。
