水稻耐盐性和耐碱性相关性状的QTL定位及环境互作分析

doi:10.3864/j.issn.0578-1752.2017.10.001

Abstract

Abstract: 【Objective】Experiments were carried out in 2014 and 2015 to study the yield related traits in rice under salt and alkaline stress in order to explore the QTL of major genes of salt and alkaline tolerance, and analyze the interaction effects between QTL and environment, thus revealing the genetic mechanism of panicle number per plant, seed setting rate, thousand grain weight and panicle weight per plant in rice under salt and alkaline stress. The results of the present study will provide a scientific basis for the rice genetic mechanism of salt and alkaline tolerance and molecular marker assisted breeding. 【Method】The recombinant inbred line (RIL) population derived from a cross between Dongnong 425 (DN425) with high yielding ability and quality as the female parent and Changbai 10 (CB10) with salt and alkaline tolerance as the male parent. A genetic linkage map was constructed with 120 SSR markers. The panicle number per plant, seed setting rate, thousand grain weight and panicle weight per plant in rice were measured under 6ds·m^-1 NaCl solution of salt stress, Na₂CO₃ solution (pH = 9.0) of alkaline stress and the normal water irrigation as control conditions during the whole growing period in 2014 and 2015. The additive quantitative trait loci (QTL) analysis was conducted by using the complete interval mapping method (ICIM)，the additive and epistatic QTL×environment interaction effects was analyzed by using the mixed composite interval mapping method (MCIM). 【Result】Compared with the salt stress, the alkaline tolerant traits of rice decreased significantly, and were more sensitive to the alkaline stress, the alkaline stress was more restrictive to the high-yield and stable-yield in 2014 and 2015. Under the condition of alkaline stress for two years, no significant correlation was found between the traits of salt stress. There may be genetic differences in rice under salt stress and alkaline stress. By using ICIM, a total of 61 additive QTLs for salt and alkali tolerance-related traits were detected, which were distributed on chromosomes 1, 2, 3, 4, 5, 6, 7, 8, 10, 11 and 12. By using MCIM, a total of 17 the additive QTL×environment interaction effects QTLs for salt and alkali tolerance-related traits were detected, which were distributed on chromosome 1, 3, 5, 7, 8, 9, 11 and 12. By using ICIM, qPN1-1 which was repeatedly detected under both natural and salt stress conditions for two years, qPN11-2 which was repeatedly detected only under alkaline stress conditions for two years, qPN3-3 which was repeatedly detected under both salt and alkaline stress conditions for two years, qRPN1-1 which was repeatedly detected under both natural and salt stress conditions for two years, qGW7 which was repeatedly detected only under natural conditions for two years and qPW11 which was repeatedly detected under salt, alkaline stress and natural conditions for two years, all of them were detected by MCIM. A new salt and alkali tolerance QTL qPW11, can explain 7.94%—20.13% of phenotypic variance. By using MCIM, a total of 13 epistatic QTL×environment interaction effects QTLs for salt and alkali tolerance-related traits were detected. Two pairs of epistatic QTLs which are related to panicle number per plant were detected have significant environmental interaction effects. Two pairs of epistatic QTLs which are related to panicle number per plant under ratio of stress and natural were detected have significant environmental interaction effects. Two pairs of epistatic QTLs which are related to seed setting rate were detected have significant environmental interaction effects, two pairs of epistatic QTLs which are related to seed setting rate under the ratio of stress and natural conditions were detected have significant environmental interaction effects. One pairs of epistatic QTLs which are related to thousand grain weight were detected have significant environmental interaction effects. One pairs of epistatic QTLs which are related to thousand grain weight under the ratio of stress and natural conditions were detected have significant environmental interaction effects. Three pairs of epistatic QTLs which are related to panicle weight per plant were detected have significant environmental interaction effects.【Conclusion】Both the salt stress and the alkaline stress could affect the yield - related traits in rice, but they are two kinds of stresses with different properties. Alkaline stress damage is more severe, and yield reduction is more significantly.

Key words: rice, salt stress, alkaline stress, yield, QTL mapping, environment interaction

LIANG YinPei, SUN Jian, SUO YiNing, LIU HuaLong, WANG JingGuo, ZHENG HongLiang, SUN XiaoXue, ZOU DeTang. QTL Mapping and QTL × Environment Interaction Analysis of Salt and Alkali Tolerance-Related Traits in Rice（Oryza sativa L.）[J].Scientia Agricultura Sinica, 2017, 50(10): 1747-1762.

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QTL Mapping and QTL × Environment Interaction Analysis of Salt and Alkali Tolerance-Related Traits in Rice（Oryza sativa L.）

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