Clark A G, Wang L
Department of Biology, Pennsylvania State University, University Park 16802, USA.
Genetics. 1997 Sep;147(1):157-63. doi: 10.1093/genetics/147.1.157.
Transposon tagging provides an opportunity to construct large numbers of strains of organisms that differ by single insertional mutations. By scoring the phenotypes of these "measured genotypes," powerful tests of effects of mutations on phenotypic expression have been performed. Here we extend this approach by constructing with simple crosses all possible two-locus genotypes for each of eight pairs of P-element insertions. Analysis of metabolic phenotypes (fat and glycogen contents, enzyme activities, total protein, and body weight) of the resulting nine genotypes provides direct estimates of additive, dominance, and epistatic effects of the mutations. Nested two-way analysis of variance identified significant epistatic effects in 27% of the tests (35/128 of the trait x P-element combinations). Posterior contrasts were performed to partition the epistatic variance into the four orthogonal components of COCKERHAM, and the data exhibit a tendency toward additive x dominance and dominance x dominance epistasis. Mutations in this study have epistatic effects on metabolic traits that are on the same order of magnitude as main (additive and dominance) effects. Measured genotypes have been used in other contexts to quantify epistatic effects on phenotypic expression, and these results are also briefly reviewed.
转座子标签法为构建大量因单个插入突变而不同的生物体菌株提供了机会。通过对这些“测量基因型”的表型进行评分,已经对突变对表型表达的影响进行了有力的测试。在这里,我们通过简单杂交为八对P因子插入中的每一对构建所有可能的双基因座基因型,扩展了这种方法。对所得九种基因型的代谢表型(脂肪和糖原含量、酶活性、总蛋白和体重)进行分析,可直接估计突变的加性、显性和上位性效应。嵌套双向方差分析在27%的测试中(性状×P因子组合的128个中有35个)确定了显著的上位性效应。进行了后验对比,将上位性方差划分为COCKERHAM的四个正交成分,数据呈现出加性×显性和显性×显性上位性的趋势。本研究中的突变对代谢性状具有上位性效应,其程度与主要(加性和显性)效应相当。测量基因型已在其他情况下用于量化对表型表达的上位性效应,这些结果也将简要回顾。