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Comparative quantitative trait locus mapping of maize flowering-related traits in an F2:3 and recombinant inbred line population

机译:F2:3和重组自交系群体中玉米开花相关性状的数量性状比较定位

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Flowering-related traits in maize are affected by complex factors and are important for the improvement of cropping systems in the maize zone. Quantitative trait loci (QTLs) detected using different materials and methods usually vary. In the present study, 266 maize (Zea mays) F2:3 families and 301 recombinant inbred lines (RIL) derived from a cross between 08-641 (founding parent from southeast China) and Ye478 (founding parent from China) were evaluated for four flowering-related traits, including days to tasseling (DTT), days to pollen shedding (DPS), days to silking (DTS), and anthesis-silking interval. Sixty-six QTLs controlling the target traits were detected in the F2:3 and RIL populations via single environment analysis and joint analysis across all environments (JAAE). The QTLs explained 0.8-13.47% of the phenotypic variation, with 12 QTLs explaining more than 10%. The results of meta-QTL (MQTL) analysis indicated that 41 QTLs could be integrated into 14 MQTLs. One MQTL included 2.9 QTLs, ranging from two to ten QTLs for one to three traits. QTLs, including MQTL1-1 and MQTL9-1, were detected across the F2:3 and RIL populations via SAE and JAAE. Among the MQTLs, nine QTLs were integrated into MQTL9-1 and affected DTT, DPS, and DTS, with the favored allele being derived from 08-641. MQTL3-2 showed high phenotypic variation and was suitable for fine mapping to determine the genetic mechanisms of flowering. MQTL3-2 could be applied to improve inbred lines using marker-assisted selection.
机译:玉米的开花相关性状受复杂因素的影响,对于改善玉米带的种植系统具有重要意义。使用不同材料和方法检测到的数量性状基因座(QTL)通常会有所不同。在本研究中,对来自08-641(中国东南的始祖)和Ye478(中国东南的始祖)之间杂交的266个玉米(Zea mays)F2:3家族和301重组自交系(RIL)进行了评估,评估了四个与开花有关的性状,包括抽穗的天数(DTT),花粉脱落的天数(DPS),抽穗的天数(DTS)和花期的抽穗期。通过单一环境分析和跨所有环境的联合分析(JAAE),在F2:3和RIL种群中检测到66个控制目标性状的QTL。 QTL解释了表型变异的0.8-13.47%,其中12个QTL解释了10%以上。 Meta-QTL(MQTL)分析的结果表明,可以将41个QTL集成到14个MQTL中。一个MQTL包括2.9个QTL,对于一到三个特征,范围从2到10个QTL。通过SAE和JAAE在F2:3和RIL群体中检测到包括MQTL1-1和MQTL9-1在内的QTL。在MQTL中,将9个QTL整合到MQTL9-1中,并影响了DTT,DPS和DTS,有利的等位基因来自08-641。 MQTL3-2显示高表型变异,适合用于精细定位以确定开花的遗传机制。 MQTL3-2可以用于使用标记辅助选择来改良自交系。

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