Falke K C, Flachenecker C, Melchinger A E, Piepho H-P, Maurer H P, Frisch M
Institute of Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, 70593, Stuttgart, Germany.
Theor Appl Genet. 2007 Mar;114(5):765-76. doi: 10.1007/s00122-006-0443-7. Epub 2007 Feb 16.
Selection and random genetic drift are the two main forces affecting the selection response of recurrent selection (RS) programs by changes in allele frequencies. Therefore, detailed knowledge on allele frequency changes attributable to these forces is of fundamental importance for assessing RS programs. The objectives of our study were to (1) estimate the number, position, and genetic effect of quantitative trait loci (QTL) for selection index and its components in the base populations, (2) determine changes in allele frequencies of QTL regions due to the effects of random genetic drift and selection, and (3) predict allele frequency changes by using QTL results and compare these predictions with observed values. We performed QTL analyses, based on restriction fragment length polymorphisms (RFLPs) and simple sequence repeats (SSRs), in 274 F(2:3) lines of cross KW1265 x D146 (A x B) and 133 F(3:4) lines of cross D145 x KW1292 (C x D) originating from two European flint maize populations. Four (A x B) and seven (C x D) cycles of RS were analyzed with SSRs for significant allele frequency changes due to selection. Several QTL regions for selection index were detected with simple and composite interval mapping. In some of them, flanking markers showed a significant allele frequency change after the first and the final selection cycles. The correlation between observed and predicted allele frequencies was significant only in A x B. We attribute these observations mainly to (1) the high dependence of the power of QTL detection on the population size and (2) the occurrence of undetectable QTL in repulsion phase. Assessment of allele frequency changes in RS programs can be used to detect marker alleles linked to QTL regions under selection pressure.
选择和随机遗传漂变是通过等位基因频率变化影响轮回选择(RS)计划选择响应的两个主要因素。因此,详细了解归因于这些因素的等位基因频率变化对于评估RS计划至关重要。我们研究的目的是:(1)估计基础群体中选择指数及其组成部分的数量性状位点(QTL)的数量、位置和遗传效应;(2)确定由于随机遗传漂变和选择的影响导致的QTL区域等位基因频率的变化;(3)利用QTL结果预测等位基因频率变化,并将这些预测值与观测值进行比较。我们基于限制性片段长度多态性(RFLP)和简单序列重复(SSR),对来自两个欧洲硬粒玉米群体的KW1265×D146(A×B)杂交组合的274个F(2:3)株系和D145×KW1292(C×D)杂交组合的133个F(3:4)株系进行了QTL分析。利用SSR分析了RS的四个(A×B)和七个(C×D)轮回中由于选择导致的显著等位基因频率变化。通过简单区间作图和复合区间作图检测到了几个选择指数的QTL区域。在其中一些区域,侧翼标记在第一轮和最后一轮选择后显示出显著的等位基因频率变化。观测和预测的等位基因频率之间的相关性仅在A×B中显著。我们将这些观察结果主要归因于:(1)QTL检测功效对群体大小的高度依赖性;(2)在相斥相中存在不可检测的QTL。评估RS计划中等位基因频率变化可用于检测在选择压力下与QTL区域连锁的标记等位基因。