稻米淀粉RVA谱特征值与直链淀粉、蛋白含量的相关性及QTL定位分析

【目的】检测到新的控制稻米品质性状相关的QTL并分析各性状间的相关性,为了解控制水稻品质的遗传机理和培育优质水稻品种奠定基础。【方法】利用Sasanishiki×Habataki回交重组自交系(backcross inbred lines,BILs)群体在两个环境下种植的结果,检测与稻米直链淀粉含量、蛋白质含量及RVA谱特征值相关的加性QTL。【结果】表型分析结果显示,Habataki的蛋白含量明显高于Sasanishiki;而除消减值以外其余的稻米品质性状指标,Sasanishiki均高于Habataki。利用BIL群体共检测到加性QTL 42个,其中10个QTL位点在2个环境中均能被检测到,即q PC8、q AC4、q AC10、q PKV2、q PKV7、q HPV7、q CPV1、q BDV4、q BDV7、q SBV7,且q CPV1、q BDV4、q PKV7、q HPV7和q AC10等5个QTL尚未见报道。同时,我们还利用Sasanishiki×Habataki染色体片断置换系(Chromosome segment substitution lines,CSSLs)验证了10个稳定表达的QTL位点。【结论】稻米RVA谱特征值与直链淀粉含量、蛋白质含量之间呈现一定相关性,且控制不同品质性状的QTL之间具有共定位现象。

Correlation Analysis and QTL Mapping for Starch RVA Profile Properties and Amylose and Protein Contents in Rice

【Objective】The detection of new quantitative trait loci（QTLs）and the correlation analysis between different rice quality traits are used to dissect the genetic mechanism underlying rice quality and to breed high quality rice varieties. 【Method】The backcross inbred lines(BILs) of Sasanishiki× Habataki planted in two environments were used to detect additive QTLs for amylose content, protein content and RVA profiles. 【Result】Phenotypic analysis showed the protein content of Habataki was higher than that of Sasanishiki while other rice quality parameters of Sasanishiki were generally higher than those of Habataki except the setback viscosity. A total of 42 additive QTLs were detected, and ten of them could be repeatedly detected in two environments, including qPC8, qAC4, qAC10, qPKV2, qPKV7, qHPV7, qCPV1, qBDV4, qBDV7 and qSBV7. Of them, qCPV1, qBDV4, qPKV7, qHPV7 and qAC10 had not been reported previously. Moreover, the environmental stability of 10 QTLs, was further confirmed across two different environments by chromosome segment substitution lines(CSSLs). 【Conclusion】Significant correlations were observed between RVA profiles and protein or amylose contents, and many QTLs affecting different quality traits were co localized.