Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O-rufipogon
Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O-rufipogon
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DOI：
10.1007/s00122-003-1373-2
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发表时间：
2003-11-01
影响因子：
5.4
通讯作者：
McCouch, SR
中科院分区：
文献类型：
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作者：
Septiningsih, EM;Prasetiyono, J;McCouch, SR
由水稻 (Oryza sativa) (cv IR64) 和野生稻 (O. rufipogon) (IRGC 105491) 种间杂交开发的 BC2F2 群体用于高级回交 QTL 分析，以鉴定来自该野生近缘种的农艺有用基因并将其引入栽培基因库。本研究的目的是：（1）确定可用于改良优良品种IR64的推定产量和产量组成QTL； (2) 将本研究中的QTL与先前报道的水稻QTL进行比较，作为鉴定在不同环境和遗传背景下稳定的QTL的基础； (3) 将已鉴定的 QTL 与之前报道的玉米 QTL 进行比较，以检查整个草科 QTL 的保守程度。在印度尼西亚的两个田间环境中对 285 个家庭的 12 项农艺性状进行了评估，每个环境重复两次。总共165个标记，包括131个SSR和34个RFLP，被用来构建遗传连锁图谱。通过区间作图和复合区间作图，鉴定出42个QTL。尽管其性能较差，但源自普通野生稻的 QTL 等位基因中有 33% 对 IR64 背景中的产量和产量成分具有有益影响。 22个QTL（53.4%）与之前报道的水稻QTL位于相似区域，表明在不同遗传背景和环境中存在稳定的QTL。本研究独家检测到 20 个 QTL (47.6%)，揭示了来自野生的潜在新颖等位基因，其中一些可能会改善热带籼稻品种 IR64 的性能。此外，本研究中检测到的几个有关株高、粒重和开花时间的 QTL 与玉米中包含先前检测到的这些性状的玉米 QTL 的同源区域相对应。
A BC2F2 population developed from an interspecific cross between Oryza sativa (cv IR64) and O. rufipogon (IRGC 105491) was used in an advanced backcross QTL analysis to identify and introduce agronomically useful genes from this wild relative into the cultivated gene pool. The objectives of this study were: (1) to identify putative yield and yield component QTLs that can be useful to improve the elite cultivar IR64; (2) to compare the QTLs within this study with previously reported QTLs in rice as the basis for identifying QTLs that are stable across different environments and genetic backgrounds; and (3) to compare the identified QTLs with previously reported QTLs from maize to examine the degree of QTL conservation across the grass family. Two hundred eighty-five families were evaluated in two field environments in Indonesia, with two replications each, for 12 agronomic traits. A total of 165 markers consisting of 131 SSRs and 34 RFLPs were used to construct the genetic linkage map. By employing interval mapping and composite interval mapping, 42 QTLs were identified. Despite its inferior performance, 33% of the QTL alleles originating from O. rufipogon had a beneficial effect for yield and yield components in the IR64 background. Twenty-two QTLs (53.4%) were located in similar regions as previously reported rice QTLs, suggesting the existence of stable QTLs across genetic backgrounds and environments. Twenty QTLs (47.6%) were exclusively detected in this study, uncovering potentially novel alleles from the wild, some of which might improve the performance of the tropical indica variety IR64. Additionally, several QTLs for plant height, grain weight, and flowering time detected in this study corresponded to homeologous regions in maize containing previously detected maize QTLs for these traits.