Marcotuli Ilaria, Gadaleta Agata, Mangini Giacomo, Signorile Antonio Massimo, Zacheo Silvana Addolorata, Blanco Antonio, Simeone Rosanna, Colasuonno Pasqualina
Department of Agricultural and Environmental Science, University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy.
Department of Soil, Plant and Food Sciences, Section of Genetic and Plant Breeding, University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy.
Int J Mol Sci. 2017 Jun 21;18(6):1329. doi: 10.3390/ijms18061329.
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 (, ; , ; , ; , ; and , ). 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.
作物物种的高密度遗传连锁图谱在检测重要农艺性状的质量和数量性状基因座以及提高经典方法鉴定候选基因的能力方面特别有用。本研究的目的是在源自两个优良小麦品种的硬粒小麦重组自交系群体(RIL)中构建高密度遗传连锁图谱,并鉴定、表征和关联β-葡聚糖、蛋白质含量、每穗粒重和抽穗期的数量性状基因座(QTL)。通过使用小麦90K iSelect芯片对RIL群体进行基因分型构建的密集图谱包含5444个单核苷酸多态性(SNP)标记,分布在36个连锁群中。β-葡聚糖和蛋白质含量、每穗粒重和抽穗期的数据来自于在意大利南部两个地点进行的重复试验。在不同染色体区域共检测到19个QTL。具体而言,在2A和2B染色体上检测到3个β-葡聚糖含量QTL(两个位点);在1B、2B、3B(两个位点)、4A、5A、7A和7B染色体上检测到8个控制籽粒蛋白质含量的QTL;在1A、2B、3A(两个位点)、3B(两个位点)和6B染色体上鉴定出7个每穗粒重QTL;在2A染色体上检测到一个抽穗期的标记-性状关联。最后一个与β-葡聚糖QTL共定位,这两个QTL似乎呈负相关。对控制这些性状的基因组区域和SNP注释序列进行全基因组扫描,鉴定出5个参与不同生物合成途径的推定候选基因(,;,;,;,;和,)。本研究提供了关于重要农艺性状QTL的更多信息,这可能有助于标记辅助育种,以获得具有商业和营养相关性的新基因型。