Institute of Molecular Biology, University of Oregon, Eugene, Oregon, United States of America.
PLoS One. 2012;7(6):e38476. doi: 10.1371/journal.pone.0038476. Epub 2012 Jun 6.
The analysis of crossover interference in many creatures is complicated by the presence of two kinds of crossovers, interfering and noninterfering. In such creatures, the values of the traditional indicators of interference are subject not only to the strength of interference but also to the relative frequencies of crossing over contributed by the two kinds. We formalize the relationship among these variables and illustrate the possibilities and limitations of classical interference analysis with meiotic tetrad data from wild-type Saccharomyces cerevisiae and from mlh1 and ndj1 mutants.
在许多生物中，交叉干扰的分析由于存在两种交叉干扰和非干扰而变得复杂。在这些生物中，传统干扰指标的值不仅受到干扰强度的影响，还受到两种交叉贡献的相对频率的影响。我们形式化了这些变量之间的关系，并通过来自野生型酿酒酵母和 mlh1 和 ndj1 突变体的减数分裂四分体数据来说明经典干扰分析的可能性和局限性。
