Quantitative trait locus analysis of stalk strength in four maize populations
Quantitative trait locus analysis of stalk strength in four maize populations
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DOI：
10.2135/cropsci2003.0013
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发表时间：
2003-01-01
期刊：
影响因子：
2.3
通讯作者：
McMullen, MD
中科院分区：
文献类型：
--
作者：
Flint-Garcia, SA;Jampatong, C;McMullen, MD
玉米茎秆倒伏全球每年的产量损失估计在5%到20%之间。通过对茎秆抗倒伏性的筛选，可以提高茎秆抗倒伏性。我们对4个F-2：3群体的RPR进行了数量性状位点（QTL）分析。通过MoSCSSS-High（选择高RPR）、MoSCSSS-Low（选择低RPR）、MoSQB-Low（选择低茎秆抗压强度）、自交系Mo 47和自交系B73的组合构建群体。每个群体中的个体进行简单重复序列（SSR）或限制性片段长度多态性（RFLP）标记的基因分型，并收集多个地点和重复的RPR数据。环境上的平均值被用作QTL制图师的复合区间作图的性状数据。在4个群体中检测到8个、10个、8个和9个单效应QTL和4个、2个、0个和5个上位性互作。多位点模型，包括单效应QTL和上位性互作，占总表型变异的33.4%，44.7%，48.4%和58.7%。这些数据清楚地表明秸秆强度的复杂性。一个染色体区域包含来自所有四个群体的QTL，而两个QTL是共同的四个群体中的三个和五个QTL是共同的两个群体之间。与QTL置信区间重叠的候选基因包括那些参与木质素合成、类苯丙素途径和营养阶段变化的基因。
Stalk lodging in maize (Zea mays L.) causes yield losses estimated to range from 5 to 20% annually worldwide. Selection for rind penetrometer resistance (RPR) has proven useful in enhancing germplasm for stalk strength, and therefore improving stalk lodging resistance. We conducted quantitative trait locus (QTL) analysis for RPR in four F-2:3 populations. The populations were constructed by means of combinations of MoSCSSS-High (selection for high RPR), MoSCSSS-Low (selection for low RPR), MoSQB-Low (selection for low stalk crushing strength), inbred line Mo47, and inbred line B73. Individuals in each population were genotyped for simple sequence repeat (SSR) or restriction fragment length polymorphism (RFLP) markers, and data were collected for RPR over multiple locations and replications. Means combined over environments were used as trait data for composite interval mapping by QTL Cartographer. Eight, 10, eight, and nine single-effect QTL and four, two, zero, and five epistatic interactions were detected for RPR in the four populations. Multilocus models, including the single-effect QTL and epistatic interactions, accounted for 33.4, 44.7, 48.4, and 58.7% of the total phenotypic variation. These data clearly indicate the complex nature of stalk strength. One chromosomal region contained a QTL from all four populations, while two QTL were in common among three of the four populations and five QTL were in common between two populations. Candidate genes that overlap QTL confidence intervals include those involved in lignin synthesis, the phenylpropanoid pathway, and the timing of vegetative phase change.