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QTL Mapping and QTL×Environment Interaction Analysis of Grain Quality-Related Traits in Rice (Oryza sativa) Under Water-and Dry-Cultivation Conditions |
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Abstract To study the related traits changes of milling quality and appearance quality of rice (Oryza sativa) under drought stress environmental conditions, explore QTL which controlled rice quality related traits stably existing under drought conditions, and analyze the interaction effects between environment and QTLs, this study investigated a recombinant inbred lines (RILs) population deriving from the across between upland cultivar Xiaobaijingzi and rice cultivar Kongyu131 and 2 parents as experimental material, which consisted of 207 individual high-generation (F8, F9) RILs group. Repeated tests under drought stress and normal irrigation were conducted to study correlated analysis of 4 quality traits, including brown rice rate (BRR), milled rice rate (MRR), head rice rate (HMRR) and chalky rice rate (CG). Furthermore, QTL mapping were researched. The genetic map that was built based on F6 RIL population, which derived from Xiaobaijingzi and Kongyu 131, was used for QTL mapping. The genetic map contained 104 markers, covering the rice genome 1 295.03 cM, and average genetic distance between markers was 12.45 cM. The results showed that there were statistically significant correlations between BRR and MRR, HMRR in 2 environments. CG negatively correlated with MRR, but significantly negatively correlated with HMRR in 2 environments. The genetic of traits expressed as the quantitative characters with the continuous distribution in 2 environments. Totally, 24 additive QTLs and 9 pairs of epistatic interactions QTLs were detected for 4 traits in 2014 and 2015, which distributed on chromosome except 10 and 12. Five additive QTL (qBRR11a, qMRR11a, qHMRR6a, qCG6a and qCG6c) were detected and stably expressed under drought stress environment in 2 years survey. Three additive QTLs and 4 pairs of epistatic QTLs were detected significant environmental interaction effects. The expressions of each traits, which were affected slightly by the water environment, were mainly additive genetic effects. Hence, the specific QTLs under drought stress which were and discovered can lay a foundation for genetic improvement of grain quality.
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Received: 27 March 2016
Published: 06 August 2016
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