GENOTYPE-PHENOTYPE RELATIONSHIPS IN YEAST

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 个体间RNA、蛋白质和代谢物水平的差异被认为是物种内和物种间生理和表型差异的重要来源。然而，人们对这些高维分子表型的大小和遗传基础知之甚少。酵母为复杂数量性状的遗传分离提供了一个理想的模型系统，最近已经获得了37株酿酒酵母的全基因组序列。该项目的目标是开发定量测量这37个菌株的RNA、蛋白质、代谢物和形态表型的技术。这个数据集提供了一个重要的、新颖的和强大的机会，将比较功能基因组学数据与比较序列分析协同结合起来，以描绘酵母复杂和定量表型的遗传结构。此外，整个基因组序列数据将被用来将表型多样性的模式与遗传变异联系起来。这些实验将产生一个重要的大规模数据集，其中包括在精心设计的随机研究中收集的数千个数量性状，这将为分子和形态表型的自然变异的幅度和模式提供新的见解，以及对其遗传基础的初步见解。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Variation in RNA, protein, and metabolite levels among individuals is thought to be an important source of physiological and phenotypic differences within and between species. However, relatively little is known about the magnitude and genetic basis of these high-dimensional molecular phenotypes. Yeast provide an ideal model system for the genetic dissection of complex and quantitative traits, and whole-genome sequences have recently been obtained for 37 Saccharomyces cerevisiae strains. The goal of this project is to develop technologies to quantitatively measure RNA, protein, metabolite, and morphological phenotypes in these 37 strains. This data set provides an important, novel, and powerful opportunity to synergistically combine comparative functional genomics data with comparative sequence analyses to delineate the genetic architecture of complex and quantitative phenotypes in yeast. Furthermore, the whole genome sequence data will be leveraged to correlate patterns of phenotypic diversity with genetic variation. These experiments will result in an important large-scale data set of thousands of quantitative traits collected in a carefully designed randomized study, which will provide novel insights into the magnitude and patterns of natural variation of molecular and morphological phenotypes, as well as preliminary insights into their genetic basis.