EAGER: Drosophila evolutionary phenomics: Public resource to support genotype-phenotype studies

EAGER：果蝇进化表型组学：支持基因型-表型研究的公共资源

• 批准号: 1811805
• 负责人: Scott Pitnick
• 金额: $ 29.99万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-01 至 2021-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1811805&HistoricalAwards=false
• 关键词: EAGER; Drosophila; evolutionary; phenomics; Public

It is increasingly easy to sequence the genomes of species. The utility of genomic resources, however, is limited without knowledge of the complex developmental, physiological, morphological and behavioral traits that genes code for. Indeed, improving the ability to predict important traits (e.g., lifespan, disease) from knowledge of genotypes is one of the top priorities of modern biology. Much research uses the fruit fly, Drosophila melanogaster, to map phenotypes onto genotypes. This project will begin by characterizing a set of traits that capture core aspects of life history for ~250 related species of Drosophila. These analyses will be complemented by mapping genotype-phenotype relationships across the 30 species of Drosophila with fully-sequenced genomes. All data will be made available through a public database. This resource will enable strategic decisions about future genome sequencing priorities. Furthermore, the database will assist the integrated study of diverse life history traits in the context of both resource ecology and phylogeny. Using standardized protocols, all ~250 species of Drosophila and related genera (Samoaia, Scaptomyza, Zaprionus and Gitona) maintained by the Drosophila Species Stock Center will be phenotyped for a set of 18 morphological, behavioral, physiological and developmental traits, Collectively, these traits capture core aspects of sexual selection and life-history syndromes, in addition to providing characters relevant to ecological selection. These data form the basis for a valuable public database on Drosophila "evolutionary phenomics," along with accompanying phylogenetic resources. The data will also be used for two kinds of state-of-the-art comparative analyses. First, Bayesian phylogenetic modeling, applied to data for all species, will be used to evaluate rates of diversification and co-evolutionary dynamics among character states and across the clade using a range of alternative trait diversification models. Second, two complementary analytical approaches will be applied to all Drosophila species with fully-sequenced genomes to explore genotype-phenotype relationships for all traits, with the goals of identifying candidate genes underlying trait diversification and setting the stage for studies of the molecular evolution and genomic architecture of Drosophila biodiversity.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

对物种的基因组进行测序越来越容易。但是，基因组资源的实用性是有限的，而基因代码的复杂发展，生理，形态和行为特征的知识也有限。实际上，提高对基因型知识的重要特征（例如寿命，疾病）的能力是现代生物学的首要任务之一。大量研究使用果蝇果蝇（Drosophila Melanogaster）将表型映射到基因型上。该项目将开始表征一组特征，以捕获约250种果蝇相关物种的生活历史核心方面。这些分析将通过绘制果蝇与完全序列基因组的30种种类的基因型 - 表型关系进行补充。 所有数据将通过公共数据库提供。该资源将实现有关未来基因组测序优先级的战略决策。此外，数据库将在资源生态和系统发育的背景下帮助对各种生活历史特征的综合研究。使用标准化协议，果蝇物种储备中心维持的所有约250种果蝇和相关属（Samoaia，Scaptomyza，Zaprionus和Gitona）将被表型，用于18种形态，行为，行为，生理和发育特征的18个形态，行为，生理和发育特征，这些特征与这些特征相关，这些特征的核心以及这些特征的构成了性选择，并提供了与性的共同选择，以及性的共同选择，并为性特征提供了共同的生命。选择。这些数据构成了果蝇“进化现象”以及伴随的系统发育资源的宝贵公共数据库的基础。数据还将用于两种最新的比较分析。首先，应用于所有物种数据的贝叶斯系统发育建模将使用一系列替代性状多元化模型来评估特征状态和整个进化枝之间多元化和共同进化动态的速率。其次，将采用两种互补的分析方法，用于所有具有完全序列基因组的果蝇物种，以探索所有特征的基因型 - 表型关系，其目标是识别候选基因的基因，并为研究统计的种去量和基因组建筑而奠定了统计，并为Drosophila Biodiversity提供了宣传。通过使用基金会的智力优点和更广泛影响的评论标准进行评估。