GENOTYPE-PHENOTYPE RELATIONSHIPS IN YEAST

酵母基因型-表型关系

• 批准号: 8171319
• 负责人: Maitreya J Dunham
• 金额: $ 15.37万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171319
• 关键词: Architecture; Biological Models; Complex; Computer Retrieval of Information on Scientific Projects Database; Data; Data Set; Dissection; Funding; Genetic; Genetic Variation; Genotype; Goals; Grant; Individual; Institution; Measures; Molecular; Pattern; Phenotype; Physiological; Randomized; Research; Research Personnel; Resources; Saccharomyces cerevisiae; Sequence Analysis; Source; Technology; United States National Institutes of Health; Variant; Yeasts; base; comparative; design; functional genomics; genome sequencing; insight; molecular phenotype; novel; protein metabolite; research study; trait

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.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 个体中RNA，蛋白质和代谢物水平的变化被认为是物种内部和物种之间生理和表型差异的重要来源。但是，关于这些高维分子表型的大小和遗传基础知之甚少。酵母为复杂性和定量性状的遗传解剖提供了理想的模型系统，最近已经获得了37种酿酒酵母菌株的全基因组序列。该项目的目的是开发这些37种菌株中定量测量RNA，蛋白质，代谢物和形态表型的技术。该数据集为将比较功能基因组学数据与比较序列分析结合在一起，提供了一个重要，新颖且有力的机会，以描绘酵母中复杂和定量表型的遗传结构。此外，将利用整个基因组序列数据将表型多样性的模式与遗传变异相关联。这些实验将导致一个重要的大规模数据集，这些数据集是在经过精心设计的随机研究中收集的数千种定量性状，这将提供有关分子和形态表型自然变化的大小和模式的新见解，以及对其遗传基础的初步见解。