
收稿日期: 1900-01-01
修回日期: 1900-01-01
网络出版日期: 2010-03-10
Analysis of QTLs for Starch RVA Profile Properties in the Superior Rice Cultivar Koshihikari
1State Key Laboratory of Crop Genetics and Germplasm Enhancement/Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China; 2Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; *Corresponding author, E-mail: wanjm@njau.edu.cn
Received date: 1900-01-01
Revised date: 1900-01-01
Online published: 2010-03-10
利用南京11 × Koshihikari RIL群体在南京两年的种植结果,检测与稻米淀粉RVA谱特征值峰值黏度、最低黏度、最终黏度、崩解值、消减值、峰值时间和糊化温度相关加性和上位性效应QTL,并分析其表达稳定性。结果表明,7个稻米淀粉RVA谱特征值在两年中均呈连续分布,且存在超亲遗传现象。共检测到8个具有加性效应的QTL与稻米6项淀粉RVA谱特征值有关,两年中能重复出现的QTL有6个,即qTPV6、qFPV6、qBDV6、 qSBV6、qPKT6和qPT6,分别控制最低黏度、最终黏度、崩解值、消减值、峰值时间和糊化温度,两年的平均贡献率分别为46.4%、60.3%、31.1%、71.9%、385%和12.4%,而qSBV8和qPT5仅在1年中被检测到,环境稳定性差。此外,还检测到5对影响稻米淀粉RVA谱特征值的QTL具有上位性效应,互作既发生在相同染色体上也发生在不同染色体之间,但贡献率较小,且受环境的影响较小。控制稻米淀粉RVA谱特征值的稳定、主效QTL,可为Koshihikari中稻米优良蒸煮食味品质相关基因的育种利用提供基础。
张永生,江玲,刘喜,刘世家,陈亮明,翟虎渠,万建民 . 优质水稻品种越光(Koshihikari)中控制稻米淀粉RVA谱特征值的QTL分析[J]. 中国水稻科学, 2010 , 24(2) : 137 -144 . DOI: 10.3969/j.issn.1001-7216.2010.02.06
Additive QTLs, epistatic QTLs and expression stability of QTLs for rice starch RVA profile properties were analyzed using Nanjing 11/Koshihikari RIL population in Nanjing in 2006 and 2007. The studied RVA profile properties involved peak viscosity (PKV), trough paste viscosity (TPV), final paste viscosity (FPV), breakdown viscosity (BDV), setback viscosity (SBV), peak time (PKT) and pasting temperature (PT). The normal distribution and transgressive segregation were observed in the seven RVA profile characteristics of the RIL population in two years. Eight additive QTLs were detected for 6 RVA profile characteristics, and 6 QTLs with main effect (qTPV6, qFPV6, qBDV6, qSBV6, qPKT6 and qPT6) were repeatedly detected in two years, which controlled trough paste viscosity, final paste viscosity, breakdown viscosity, setback viscosity, peak time and pasting temperature, with average contribution rates of 46.4%,60.3%,31.1%,71.9%,38.5% and 12.4%, respectively. qSBV8 and qPT5 were detected in one environment, indicating that these two QTLs were easy to be influenced by environments. Otherwise, five QTLs with epistatic effects with little contribution rate were detected in the same chromosome or between different chromosomes, which were little affected by environments. The QTL analysis for RVA profile properties in rice could lay the foundation for utilization of superior cooking and eating quality related genes in Koshihikari in molecular breeding.
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