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首页> 外文期刊>TAG Theoretical and Applied Genetics >Identification of quantitative trait loci for resistance to shoot fly in sorghum [Sorghum bicolor (L.) Moench]
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Identification of quantitative trait loci for resistance to shoot fly in sorghum [Sorghum bicolor (L.) Moench]

机译:高粱抗苍蝇的数量性状基因座的鉴定[高粱]

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The shoot fly is one of the most destructive insect pests of sorghum at the seedling stage. Deployment of cultivars with improved shoot fly resistance would be facilitated by the use of molecular markers linked to QTL. The objective of this study was to dissect the genetic basis of resistance into QTL, using replicated phenotypic data sets obtained from four test environments, and a 162 microsatellite marker-based linkage map constructed using 168 RILs of the cross 296B (susceptible) × IS18551 (resistant). Considering five component traits and four environments, a total of 29 QTL were detected by multiple QTL mapping (MQM) viz., four each for leaf glossiness and seedling vigor, seven for oviposition, six for deadhearts, two for adaxial trichome density and six for abaxial trichome density. The LOD and R 2 (%) values of QTL ranged from 2.6 to 15.0 and 5.0 to 33%, respectively. For most of the QTL, IS18551 contributed resistance alleles; however, at six QTL, alleles from 296B also contributed to resistance. QTL of the related component traits were co-localized, suggesting pleiotropy or tight linkage of genes. The new morphological marker Trit for trichome type was associated with the major QTL for component traits of resistance. Interestingly, QTL identified in this study correspond to QTL/genes for insect resistance at the syntenic maize genomic regions, suggesting the conservation of insect resistance loci between these crops. For majority of the QTL, possible candidate genes lie within or very near the ascribed confidence intervals in sorghum. Finally, the QTL identified in the study should provide a foundation for marker-assisted selection (MAS) programs for improving shoot fly resistance in sorghum.
机译:嫩芽是高粱苗期最具破坏力的害虫之一。通过使用与QTL连锁的分子标记,可以促进具有较高的抗蝇蝇能力的品种的部署。这项研究的目的是使用从四个测试环境中获得的重复表型数据集,以及使用168B 296B交叉RIL(易感性)×IS18551构建的162个基于微卫星标记的连锁图,将耐药性的遗传基础分解为QTL。耐)。考虑到五个成分性状和四个环境,通过多重QTL映射(MQM)检测到总共29个QTL,其中四个用于叶片光泽度和幼苗活力,七个用于产卵,六个用于死心,两个用于三角毛密度,六个用于检测背面毛密度。 QTL的LOD和R 2 (%)值分别为2.6%至15.0%和5.0%至33%。对于大多数QTL,IS18551贡献了抗性等位基因。然而,在六个QTL时,来自296B的等位基因也导致了抗性。相关成分性状的QTL共定位,表明多效性或基因紧密连锁。毛状体类型的新形态标记Trit与抗性成分性状的主要QTL相关。有趣的是,在这项研究中确定的QTL与玉米同基因基因组区域的昆虫抗性QTL /基因相对应,表明这些作物之间的昆虫抗性基因座得以保存。对于大多数QTL,可能的候选基因都位于高粱中指定的置信区间内或附近。最后,研究中确定的QTL应该为标记辅助选择(MAS)计划提供基础,以提高高粱的嫩芽抗性。

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