在DH或RIL群体中两对重叠基因控制性状的定位

在DH或RIL群体中,若只找到与两对重叠基因控制性状连锁的1个分子标记,可采用极大似然法估计控制性状的一对基因与分子标记间的重组率,并推导出重组率估计值的标准误公式。Monte Carlo模拟显示,重组率估计值的无偏性较好,其变异随时样本容量或重组率的增加而减少。     

利用P1、P2和DH或RIL群体联合分离分析的拓展

QTL定位常报道主基因数多于3的情形.然而,利用基因型杂合的分离群体拓展3对主基因+多基因混合遗传模型非常困难,而DH或RIL群体是遗传分析的很好群体且拓展3对主基因+多基因模型相对容易些.在文献1～4的基础上,拓展利用亲本和DH或RIL群体的2对连锁主基因、2对连锁主基因+多基因、3对主基因和3对主基因+多基因4类遗传模型.通过大豆科丰1号×1138?2构成的RIL群体及其亲本研究了大豆开花期的遗传规律。 Abstract:More than three major genes controlling quantitative trait are often obtained in QTL mapping.However,it is very difficult to develop joint segregation analysis with three major genes but for DH or RIL population.There fore,an expansion of the inheritance model,such as linkage between two major genes,three major genes,three major genes plus polygenes,was developed in this paper.Finally,an example of the inheritance of flowering date of soybean for using P1,P2 and RIL populations derived from a cross between Keifeng 1 and Nannong 1138-2 was used to explain the procedures.     

Sowing (and mapping) the wild oats

Both ecological and molecular methods have been applied to the study of locally adapted populations. While Clausen et al . (1940) were the pioneers of field transplant studies, the work of Robert Allard et al . on the invasive species Avena barbata is a classic example of using molecular evidence to infer adaptation via correlation of particular alleles with environmental gradients. In a new study published in this issue of Molecular Ecology, Latta (2009) combines ecological methods (reciprocal environment studies) with quantitative genetic techniques (recombinant inbred lines and quantitative trait analysis) to provide new evidence for local adaptation within this well known system. The conclusions are orthogonal to the original hypothesis, and instead, provide evidence that factors other than local adaptation were likely responsible for the historically observed patterns. This new evidence suggests that one ecotype is generally more fit than the other in both a moist and a dry environment, and accordingly, it appears to be increasing in frequency in historically surveyed populations.     

Improving QTL Mapping Resolution Based on Genotypic Sampling—a Case Using a RIL Population

The QTL mapping results were compared with the genotypically selected and random samples of the same size on the base of a RIL population. The results demonstrated that there were no obvious differences in the trait distribution and marker segregation distortion between the genotypically selected and random samples with the same population size. However, a significant increase in QTL detection power, sensitivity, specificity, and QTL resolution in the genotypically selected samples were observed. Moreover, the highly significant effect was detected in small size of genotypically selected samples. In QTL mapping, phenotyping is a more sensitive limiting factor than genotyping so that the selection of samples could be an attractive strategy for increasing genome-wide QTL mapping resolution. The efficient selection of samples should be more helpful for QTL maker assistant selection, fine mapping, and QTL cloning.