QTL x environment interactions in rice. I. Heading date and plant height
QTL x environment interactions in rice. I. Heading date and plant height
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DOI：
10.1007/s00122-003-1401-2
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发表时间：
2003-12-01
影响因子：
5.4
通讯作者：
Khush, GS
中科院分区：
文献类型：
--
作者：
Li, ZK;Yu, SB;Khush, GS
在亚洲9个不同的环境中对126个双单倍体（DH）水稻品系进行了评价，以揭示株高（PH）和抽穗期（HD）的基因型×环境互作（GEI）的遗传基础。一个子集的线也进行了评估，在四个水有限的环境中，环境基础的G × E可以更精确地定义。对环境的反应被分解为单个QTL x环境的相互作用，使用复制表型和混合线性模型的方法。共检测到37个主效QTL和29个上位性QTL。平均而言，这些QTL在56%的环境中可检测到。当在多个环境中检测时，大多数QTL的主效应在方向上是一致的，但在不同环境中的大小有很大差异。一些QTL在不同环境下，特别是在水分限制环境下，表现出相反的效应，表明它们对环境的反应不同。不一致的QTL检测跨环境主要是由于非或弱表达的QTL，并在一定程度上显着的QTL x环境的相互作用效应在相反的方向QTL的主要影响，并显着上位性。QTL x环境互作是性状和基因特异性的。更大的GEI HD比PH在水稻中反映了更多的环境特异性QTL，更大的频率和幅度的QTL x环境互作效应，更明显的上位性HD比PH。我们的研究结果表明，QTL x环境互作是许多QTL的重要属性，即使是高度和成熟度等高度遗传性状。如果要将标记辅助选择应用于数量性状的操纵，关于QTL x环境互作的信息是必不可少的。
One hundred twenty six doubled-haploid (DH) rice lines were evaluated in nine diverse Asian environments to reveal the genetic basis of genotype x environment interactions (GEI) for plant height (PH) and heading date (HD). A subset of lines was also evaluated in four water-limited environments, where the environmental basis of G x E could be more precisely defined. Responses to the environments were resolved into individual QTL x environment interactions using replicated phenotyping and the mixed linear-model approach. A total of 37 main-effect QTLs and 29 epistatic QTLs were identified. On average, these QTLs were detectable in 56% of the environments. When detected in multiple environments, the main effects of most QTLs were consistent in direction but varied considerably in magnitude across environments. Some QTLs had opposite effects in different environments, particularly in water-limited environments, indicating that they responded to the environments differently. Inconsistent QTL detection across environments was due primarily to non- or weak-expression of the QTL, and in part to significant QTL x environment interaction effects in the opposite direction to QTL main effects, and to pronounced epistasis. QTL x environment interactions were trait- and gene-specific. The greater GEI for HD than for PH in rice were reflected by more environment-specific QTLs, greater frequency and magnitude of QTL x environment interaction effects, and more pronounced epistasis for HD than for PH. Our results demonstrated that QTL x environment interaction is an important property of many QTLs, even for highly heritable traits such as height and maturity. Information about QTL x environment interaction is essential if marker-assisted selection is to be applied to the manipulation of quantitative traits.