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首页> 美国卫生研究院文献>International Journal of Molecular Sciences >Development of a High-Density SNP-Based Linkage Map and Detection of QTL for β-Glucans Protein Content Grain Yield per Spike and Heading Time in Durum Wheat
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Development of a High-Density SNP-Based Linkage Map and Detection of QTL for β-Glucans Protein Content Grain Yield per Spike and Heading Time in Durum Wheat

机译：高密度SNP连锁图谱的建立及硬粒小麦β-葡聚糖蛋白质含量单穗粒重和抽穗时间的QTL检测

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High-density genetic linkage maps of crop species are particularly useful in detecting qualitative and quantitative trait loci for important agronomic traits and in improving the power of classical approaches to identify candidate genes. The aim of this study was to develop a high-density genetic linkage map in a durum wheat recombinant inbred lines population (RIL) derived from two elite wheat cultivars and to identify, characterize and correlate Quantitative Trait Loci (QTL) for β-glucan, protein content, grain yield per spike and heading time. A dense map constructed by genotyping the RIL population with the wheat 90K iSelect array included 5444 single nucleotide polymorphism (SNP) markers distributed in 36 linkage groups. Data for β-glucan and protein content, grain yield per spike and heading time were obtained from replicated trials conducted at two locations in southern Italy. A total of 19 QTL were detected in different chromosome regions. In particular, three QTL for β-glucan content were detected on chromosomes 2A and 2B (two loci); eight QTL controlling grain protein content were detected on chromosomes 1B, 2B, 3B (two loci), 4A, 5A, 7A and 7B; seven QTL for grain yield per spike were identified on chromosomes 1A, 2B, 3A (two loci), 3B (two loci) and 6B; and one marker-trait association was detected on chromosome 2A for heading time. The last was co-located with a β-glucan QTL, and the two QTL appeared to be negatively correlated. A genome scan for genomic regions controlling the traits and SNP annotated sequences identified five putative candidate genes involved in different biosynthesis pathways (β-glucosidase, GLU1a; APETALA2, TaAP2; gigantea 3, TaGI3; 14-3-3 protein, Ta14A; and photoperiod sensitivity, Ppd-A1). This study provides additional information on QTL for important agronomic traits that could be useful for marker-assisted breeding to obtain new genotypes with commercial and nutritional relevance.
机译：作物物种的高密度遗传连锁图对于检测重要农艺性状的定性和定量性状基因座以及提高经典方法鉴定候选基因的能力特别有用。这项研究的目的是在源自两个优良小麦品种的硬质小麦重组自交系种群（RIL）中建立高密度遗传连锁图谱，并鉴定，表征和关联β-葡聚糖的定量性状位点（QTL），蛋白质含量，每个穗的籽粒产量和抽穗时间。通过用小麦90K iSelect阵列对RIL群体进行基因分型而构建的密集图谱包括分布在36个连锁组中的5444个单核苷酸多态性（SNP）标记。 β-葡聚糖和蛋白质含量，每个穗的籽粒产量和抽穗时间的数据是从意大利南部两个地点进行的重复试验获得的。在不同染色体区域共检测到19个QTL。特别是，在2A和2B染色体上检测到三个Q-β-葡聚糖含量QTL（两个基因座）。在1B，2B，3B（两个基因座），4A，5A，7A和7B染色体上检测到8个QTL控制谷物蛋白含量。在染色体1A，2B，3A（两个基因座），3B（两个基因座）和6B染色体上鉴定出七个峰值的单穗籽粒产量QTL；在前进方向上在2A染色体上检测到一个标记-性状关联。最后一个与β-葡聚糖QTL位于同一位置，两个QTL似乎呈负相关。通过对控制性状和SNP注释序列的基因组区域进行基因组扫描，确定了五个推测的候选基因，这些候选基因涉及不同的生物合成途径（β-葡萄糖苷酶，GLU1a; APETALA2，TaAP2; gigantea 3，TaGI3; 14-3-3蛋白，Ta14A;以及光周期灵敏度，Ppd-A1）。这项研究提供了有关重要农艺性状的QTL的其他信息，这些信息可能对标记辅助育种有用，以获得与商业和营养相关的新基因型。

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