Li Z K, Yu S B, Lafitte H R, Huang N, Courtois B, Hittalmani S, Vijayakumar C H M, Liu G F, Wang G C, Shashidhar H E, Zhuang J Y, Zheng K L, Singh V P, Sidhu J S, Srivantaneeyakul S, Khush G S
Plant Breeding, Genetics, and Biochemistry Division, International Rice Research Institute, DAPO Box 7777, Metro Manila, The Philippines.
Theor Appl Genet. 2003 Dec;108(1):141-53. doi: 10.1007/s00122-003-1401-2. Epub 2003 Sep 5.
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.
在亚洲九个不同环境中对126个双单倍体(DH)水稻品系进行了评估,以揭示株高(PH)和抽穗期(HD)基因型与环境互作(GEI)的遗传基础。还在四个水分受限环境中对一部分品系进行了评估,在这些环境中可以更精确地界定G×E的环境基础。利用重复表型分析和混合线性模型方法,将对环境的响应分解为单个QTL与环境的互作。共鉴定出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到时,大多数QTL的主效应在方向上是一致的,但在不同环境中的效应大小差异很大。一些QTL在不同环境中有相反的效应,特别是在水分受限环境中,这表明它们对环境的响应不同。跨环境QTL检测不一致主要是由于QTL不表达或弱表达,部分原因是QTL与环境的互作效应与QTL主效应方向相反,以及上位性明显。QTL与环境的互作是性状和基因特异性的。水稻中HD的GEI大于PH,这体现在更多环境特异性QTL、QTL与环境互作效应的频率和大小更大,以及HD的上位性比PH更明显。我们的结果表明,QTL与环境互作是许多QTL的重要特性,即使对于株高和成熟度等高度可遗传的性状也是如此。如果要将标记辅助选择应用于数量性状的调控,关于QTL与环境互作的信息至关重要。