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基于单核苷酸多态性(SNP)在水稻双亲群体中发现耐盐数量性状基因座(QTL)

SNP-based discovery of salinity-tolerant QTLs in a bi-parental population of rice (Oryza sativa).

作者信息

Gimhani D R, Gregorio Glenn B, Kottearachchi N S, Samarasinghe W L G

机构信息

Department of Biotechnology, Faculty of Agriculture and Plantation Management, Wayamba Univesity of Sri Lanka, Makandura, Gonawila (NWP), 60170, Sri Lanka.

International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines.

出版信息

Mol Genet Genomics. 2016 Dec;291(6):2081-2099. doi: 10.1007/s00438-016-1241-9. Epub 2016 Aug 17.

Abstract

Breeding for salt tolerance is the most promising approach to enhance the productivity of saline prone areas. However, polygenic inheritance of salt tolerance in rice acts as a bottleneck in conventional breeding for salt tolerance. Hence, we set our goals to construct a single nucleotide polymorphism (SNP)-based molecular map employing high-throughput SNP marker technology and to investigate salinity tolerant QTLs with closest flanking markers using an elite rice background. Seedling stage salinity responses were assessed in a population of 281 recombinant inbred lines (RILs) derived from the cross between At354 (salt tolerant) and Bg352 (salt susceptible), by 11 morpho-physiological indices under a hydroponic system. Selected extreme 94 RILs were genotyped using Illumina Infinium rice 6K SNP array and densely saturated molecular map spanning 1460.81 cM of the rice genome with an average interval of 1.29 cM between marker loci was constructed using 1135 polymorphic SNP markers. The results revealed 83 significant QTLs for 11 salt responsive traits explaining 12.5-46.7 % of phenotypic variation in respective traits. Of them, 72 QTLs responsible for 10 traits were co-localized together forming 14 QTL hotspots at 14 different genomic regions. The all QTL hotspots were flanked less than 1 Mb intervals and therefore the SNP loci associated with these QTL hotspots would be important in candidate gene discovery for salt tolerance.

摘要

培育耐盐性是提高盐碱地生产力最具前景的方法。然而,水稻耐盐性的多基因遗传在传统耐盐育种中成为瓶颈。因此,我们设定目标,利用高通量单核苷酸多态性(SNP)标记技术构建基于SNP的分子图谱,并在优良水稻背景下研究具有最紧密侧翼标记的耐盐性数量性状位点(QTL)。在水培系统中,通过11个形态生理指标,对由耐盐品种At354和盐敏感品种Bg352杂交产生的281个重组自交系(RIL)群体的幼苗期盐胁迫响应进行了评估。使用Illumina Infinium水稻6K SNP芯片对选择出的94个极端RIL进行基因分型,并利用1135个多态性SNP标记构建了覆盖水稻基因组1460.81 cM、标记位点平均间隔为1.29 cM的高密度饱和分子图谱。结果揭示了11个盐响应性状的83个显著QTL,解释了各性状12.5%-46.7%的表型变异。其中,负责10个性状的72个QTL共定位在一起,在14个不同基因组区域形成了14个QTL热点。所有QTL热点两侧间隔小于1 Mb,因此与这些QTL热点相关的SNP位点在耐盐候选基因发现中具有重要意义。

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