Department of Plant Sciences, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, Canada.
Theor Appl Genet. 2019 Jun;132(6):1861-1872. doi: 10.1007/s00122-019-03322-3. Epub 2019 Mar 16.
A high-density linkage map of chickpea using 3430 SNPs was constructed and used to identify QTLs and candidate genes for ascochyta blight resistance in chickpea. Chickpea cultivation in temperate conditions is highly vulnerable to ascochyta blight infection. Cultivation of resistant cultivars in combination with fungicide application within an informed disease management package is the most effective method to control ascochyta blight in chickpeas. Identifying new sources of resistance is critical for continued improvement in ascochyta blight resistance in chickpea. The objective of this study was to identify genetic loci and candidate genes controlling the resistance to ascochyta blight in recombinant inbred lines derived from crossing cultivars Amit and ICCV 96029. The RILs were genotyped using the genotyping-by-sequencing procedure and Illumina GoldenGate array. The RILs were evaluated in the field over three site-years and in three independent greenhouse experiments. A genetic map with eight linkage groups was constructed using 3430 SNPs. Eight QTLs for resistance were identified on chromosomes 2, 3, 4, 5 and 6. The QTLs individually explained 7-40% of the phenotypic variations. The QTLs on chromosomes 2 and 6 were associated with the resistance at vegetative stage only. The QTLs on chromosomes 2 and 4 that were previously reported to be conserved across diverse genetic backgrounds and against different isolates of Ascochyta rabiei were confirmed in this study. Candidate genes were identified within the QTL regions. Their co-localization with the underlying QTLs was confirmed by genetic mapping. The candidate gene-based SNP markers would lead to more efficient marker-assisted selection for ascochyta blight resistance and would provide a framework for fine mapping and subsequent cloning of the genes associated with the resistance.
利用 3430 个 SNP 构建了鹰嘴豆高密度连锁图谱,并用于鉴定鹰嘴豆抗炭疽病的 QTL 和候选基因。在温带条件下种植鹰嘴豆极易感染炭疽病。在知情的疾病管理方案中,种植抗性品种与杀菌剂的应用相结合是控制鹰嘴豆炭疽病最有效的方法。寻找新的抗性来源对于持续提高鹰嘴豆的炭疽病抗性至关重要。本研究的目的是鉴定控制品种 Amit 和 ICCV 96029 杂交衍生的重组自交系对炭疽病抗性的遗传位点和候选基因。利用测序分型和 Illumina GoldenGate 阵列对 RILs 进行基因型分析。在三个地点和三年的田间试验和三个独立的温室试验中对 RILs 进行了评估。利用 3430 个 SNP 构建了一个包含 8 个连锁群的遗传图谱。在第 2、3、4、5 和 6 号染色体上鉴定出 8 个抗性 QTL。这些 QTL 单独解释了 7-40%的表型变异。第 2 和 6 号染色体上的 QTL 仅与营养期的抗性有关。本研究证实了先前在不同遗传背景下和不同的炭疽病分离株中被报道为保守的第 2 和 4 号染色体上的 QTL。在 QTL 区域内鉴定出候选基因。通过遗传作图证实了它们与潜在 QTL 的共定位。基于候选基因的 SNP 标记将有助于更有效地进行炭疽病抗性的标记辅助选择,并为与抗性相关基因的精细图谱和后续克隆提供框架。