Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines.
Present address: Longping Branch, Graduate School of Central South University, Changsha, 410125, Hunan, China.
Rice (N Y). 2015 Dec;8(1):29. doi: 10.1186/s12284-015-0064-3. Epub 2015 Sep 21.
A number of studies reported major genes/QTLs for rice grain shapes, chalkiness and starch physicochemical properties. For these finely mapped QTLs or cloned genes to make an impact in practical breeding, it is necessary to test their effects in different genetic backgrounds. In this study, two hundred nineteen markers for 20 starch synthesis genes, 41 fine mapped grain shape and related traits QTLs/genes, and 54 chalkiness QTLs/genes plus 15 additional markers and a large indica population of 375 advanced lines were used to identify marker-trait associations under 6 environments that can be used directly in breeding for grain quality traits.
The significant associations detected by the QK model were used to declare the usefulness of the targeted genes/QTLs. A total of 65 markers were detected associations with grain quality trait at least in one environment. More phenotypic variations could be explained by haplotype than single marker, as exemplified by the starch biosynthesising genes. GBSSI was the major gene for AC and explained up to 55 % of the phenotypic variation, which also affected GC and accounted up to 11.31 % of the phenotypic variation. SSIIa was the major gene for chalkiness and explained up to 17 and 21 % of variation of DEC and PGWC, respectively. In addition, RMw513 and RM18068 were associated with DEC in 6 environments as well. Four markers (RGS1, RM15206, RMw513 and Indel1) tightly linked to GS3, gw5, and qGL7-2 were the most important ones for grain shapes. Allelic combinations between SSIIa and RMw513 revealed more variations in DEC.
The validated markers for genes/QTLs with major effects could be directly used in breeding for grain quality via marker-assisted selection. Creating desirable allelic combinations by gene pyramiding might be an effective approach for the development of high quality breeding lines in rice.
许多研究报道了水稻粒形、垩白和淀粉理化性质的重要基因/QTL。为了使这些精细定位的 QTL 或克隆基因在实际育种中产生影响,有必要在不同的遗传背景下测试它们的效果。在这项研究中,使用了 219 个标记物用于 20 个淀粉合成基因、41 个精细定位的粒形和相关性状 QTL/基因,以及 54 个垩白 QTL/基因加上 15 个额外的标记物和一个大型籼稻群体的 375 个先进系,以在 6 个环境下鉴定可直接用于谷物质量性状育种的标记与性状关联。
使用 QK 模型检测到的显著关联用于声明靶向基因/QTL 的有用性。共有 65 个标记在至少一个环境中与谷物质量性状相关联。与单个标记相比,单倍型可以解释更多的表型变异,例如淀粉生物合成基因。GBSSI 是 AC 的主效基因,解释了高达 55%的表型变异,它也影响 GC,解释了高达 11.31%的表型变异。SSIIa 是垩白的主效基因,分别解释了 DEC 和 PGWC 变异的 17%和 21%。此外,RMw513 和 RM18068 在 6 个环境中也与 DEC 相关联。四个紧密连锁于 GS3、gw5 和 qGL7-2 的标记物(RGS1、RM15206、RMw513 和 Indel1)对于粒形是最重要的。SSIIa 和 RMw513 之间的等位基因组合揭示了 DEC 更多的变异。
具有主要效应的基因/QTL 的验证标记可以通过标记辅助选择直接用于谷物品质的育种。通过基因聚合创建理想的等位基因组合可能是开发水稻优质系的有效途径。