Genetic interactions between polymorphisms that affect gene expression in yeast

Genetic interactions between polymorphisms that affect gene expression in yeast
复制标题

DOI:
10.1038/nature03865
复制
发表时间:
2005-08-04
期刊:
影响因子:
64.8
通讯作者:
Kruglyak, L
Kruglyak, L
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Brem, RB;Storey, JD;Kruglyak, L

文献摘要

被引文献

相似文献

不同数量性状基因座 (QTL) 多态性之间的相互作用被认为有助于许多性状的遗传学,并且可以显着影响遗传学研究检测 QTL 的能力 (1)。已在许多生物体中鉴定出相互作用的位点(1-5)。然而,相互作用的普遍程度(6-8)以及它们背后的核苷酸变化(9,10)在很大程度上是未知的。在这里,我们在大量定量表型中寻找自然发生的遗传相互作用 - 两种酿酒酵母菌株之间杂交的所有转录本的水平 (7)。对于每个转录本,我们搜索了与通过其个体效应检测到的初级 QTL 相互作用的次要基因座。据估计,此类基因座对参与了 57% 转录本的遗传;确定了 225 个转录本的统计显着对。其中,67% 的次要基因座的个体效应太小,在全基因组扫描中不显着。同基因菌株中的工程多态性证实了交配型基因座 MAT 和信息素反应基因 GPA1 之间的相互作用。我们的结果表明,遗传相互作用在转录本水平的遗传学中广泛存在,并且许多QTL将被单基因座测试遗漏,但可以通过允许相互作用的两阶段测试检测到。
Interactions between polymorphisms at different quantitative trait loci (QTLs) are thought to contribute to the genetics of many traits, and can markedly affect the power of genetic studies to detect QTLs(1). Interacting loci have been identified in many organisms(1-5). However, the prevalence of interactions(6-8), and the nucleotide changes underlying them(9,10), are largely unknown. Here we search for naturally occurring genetic interactions in a large set of quantitative phenotypes - the levels of all transcripts in a cross between two strains of Saccharomyces cerevisiae(7). For each transcript, we searched for secondary loci interacting with primary QTLs detected by their individual effects. Such locus pairs were estimated to be involved in the inheritance of 57% of transcripts; statistically significant pairs were identified for 225 transcripts. Among these, 67% of secondary loci had individual effects too small to be significant in a genome-wide scan. Engineered polymorphisms in isogenic strains confirmed an interaction between the mating-type locus MAT and the pheromone response gene GPA1. Our results indicate that genetic interactions are widespread in the genetics of transcript levels, and that many QTLs will be missed by single-locus tests but can be detected by two-stage tests that allow for interactions.