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不同温度条件下水稻种子活力QTL的定位分析

Mapping of QTL Controlling Seed Vitality in Rice under Different Temperature Conditions

  • 摘要: 为了揭示基因型与环境温度之间的互作对种子活力的影响,利用1个粳籼交来源的重组自交系群体,采用纸卷法在15、20和25℃条件下进行发芽试验,考察了发芽率、芽长、根长及干重等4个种子活力相关性状。结合一张含有198个DNA标记的连锁图谱,用作图软件QTLMapper1.0定位与种子活力相关的QTL。共检测到34个主效应QTL。这些QTL中的绝大多数(82%)成簇分布于第3、5和8号染色体的5个不同染色体区段上,分别被命名为QTLqSV-3-1、qSV-3-2、qSV-5、qSV-8-1qSV-8-2。其中,QTLqSV-3-1qSV-3-2qSV-8-1对种子活力的效应大小和方向在3个温度条件下均较一致;而QTLqSV-5qSV-8-2主要在20和25℃条件下起作用,在15℃低温条件下作用甚微或不起作用。表明种子活力QTL具有显著的基因型与环境温度之间的互作,而且这种互作具有明显的QTL特异性。芽长是唯一同时受5个与种子活力高度相关的染色体区段共同影响的指标,因此,相对而言,作为水稻种子活力的测定指标,芽长是最具有代表性的。

     

    Abstract: To investigate genotype×environmental temperature interactions for seed vitality QTL,a set of 282 F13 recombinant inbred lines(RILs)derived from a japonica/indica rice cross were assessed for four seed vitality traits,i.e.germination rate,radical length,plumule length and plumule dry weight,at three temperatures of 25,20 and 15℃,respectively.Using a linkage map with 198 marker loci,the main-effect QTL for the traits were mapped by composite interval mapping.A total of 34 QTL for the four seed vitality traits were identified.The majority(82%)of these QTL were clustered within five genomic regions designated as QTLqSV-3-1,qSV-3-2,qSV-5,qSV-8-1 and qSV-8-2,respectively.All of these five QTL had small individual effects on the traits,explaining only 3.1% to 15.8% of the phenotypic variation with a mean of 7.3%.QTL qSV-3-1,qSV-3-2 and qSV-8-1 showed almost consistent effects on the traits across all three temperatures while qSV-5 and qSV-8-2 had effects mainly at the normal temperatures of 20 and 25℃.This result indicated that there were significant genotype×environmental temperature interactions controlling seed vitality and these interactions appeared to be QTL-specific.All the five QTL identified showed effects on plumule length,suggesting that plumule length could be used as a good indicator to evaluate the level of seed vitality in rice.

     

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