Triticeae Research Institute, Sichuan Agricultural Univ., Wenjiang, Chengdu, 611130, China.
College of Environmental Sciences, Sichuan Agricultural Univ., Wenjiang, Chengdu, 611130, China.
Plant Genome. 2019 Nov;12(3):1-14. doi: 10.3835/plantgenome2019.03.0025.
Variations in 16 seedling traits under normal and drought conditions were investigated. Extremely resistant and sensitive accessions were identified for future analyses. Under normal and drought conditions, 57 and 29 QTL were identified, respectively. A total of 77 candidate genes were identified, and four were validated by qRT-PCR. Drought is one of the most important abiotic stressors affecting wheat (Triticum aestivum L.) production. To improve wheat yield, a better understanding of the genetic control of traits governing drought resistance is paramount. Here, using 645 wheat landraces, we evaluated 16 seedling traits related to root and shoot growth and water content under normal and drought (induced by polyethylene glycol) conditions. Extremely resistant and sensitive accessions were identified for future drought-resistance breeding and further genetic analyses. A genome-wide association study was performed for the 16 traits using 52,118 diversity arrays technology sequencing (DArT-seq) markers. A total of 57 quantitative trait loci (QTL) were detected for seven traits under normal conditions, whereas 29 QTL were detected for eight traits under drought conditions. On the basis of these markers, we identified 56 candidate genes for six seedling traits under normal conditions, and 21 candidate genes for seven seedling traits under drought conditions. Four candidate genes were validated under normal and drought conditions using quantitative reverse transcription polymerase chain reaction (qRT-PCR) data. The co-localization of the flowering date and drought-related traits indicates that the regulatory networks of flowering may also respond to drought stress or are associated with the correlated responses of these traits. The phenotypic and genetic elucidation of drought-related traits will assist future gene discovery efforts and provide a basis for breeding drought-resistant wheat cultivars.
研究了正常和干旱条件下 16 个幼苗性状的变化。鉴定了具有高抗和高感特性的品系,以备进一步分析。在正常和干旱条件下,分别鉴定到 57 和 29 个 QTL。共鉴定到 77 个候选基因,其中 4 个通过 qRT-PCR 进行了验证。干旱是影响小麦(Triticum aestivum L.)生产的最重要非生物胁迫因素之一。为了提高小麦产量,深入了解控制抗旱性的性状的遗传控制至关重要。在这里,我们使用 645 份小麦地方品种,评估了 16 个与根和芽生长以及正常和干旱(由聚乙二醇诱导)条件下水分含量相关的幼苗性状。鉴定了高抗和高感品系,以备将来的抗旱育种和进一步的遗传分析。使用 52,118 个多样性阵列技术测序(DArT-seq)标记对 16 个性状进行了全基因组关联研究。在正常条件下,检测到 7 个性状的 57 个数量性状位点(QTL),而在干旱条件下,检测到 8 个性状的 29 个 QTL。基于这些标记,我们鉴定到正常条件下 6 个性状的 56 个候选基因,干旱条件下 7 个性状的 21 个候选基因。使用定量逆转录聚合酶链反应(qRT-PCR)数据验证了 4 个候选基因在正常和干旱条件下的表达。开花期和与干旱相关的性状的共定位表明,开花的调控网络也可能对干旱胁迫做出响应,或者与这些性状的相关响应有关。与干旱相关的性状的表型和遗传阐明将有助于未来的基因发现工作,并为培育抗旱小麦品种提供基础。