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.

对物种基因组进行测序变得越来越容易。然而，如果不了解基因编码的复杂发育、生理、形态和行为特征，基因组资源的效用就会受到限制。事实上，提高根据基因型知识预测重要性状（例如寿命、疾病）的能力是现代生物学的首要任务之一。许多研究使用果蝇（Drosophila melanogaster）将表型映射到基因型上。该项目将首先描述一组特征，这些特征捕捉约 250 种相关果蝇物种生活史的核心方面。这些分析将通过利用完整测序的基因组绘制 30 个果蝇物种的基因型-表型关系图来补充。 所有数据将通过公共数据库提供。该资源将使有关未来基因组测序优先事项的战略决策成为可能。此外，该数据库将有助于在资源生态学和系统发育的背景下对不同生活史特征进行综合研究。使用标准化方案，将对果蝇物种库存中心维护的所有约 250 种果蝇及相关属（Samoaia、Scaptomyza、Zaprionus 和 Gitona）进行 18 种形态、行为、生理和发育特征的表型分析，这些特征统称为表型分析。除了提供与生态选择相关的特征之外，还捕捉性选择和生活史综合症的核心方面。这些数据构成了果蝇“进化表型组学”有价值的公共数据库以及随附的系统发育资源的基础。这些数据还将用于两种最先进的比较分析。首先，应用于所有物种数据的贝叶斯系统发育模型将用于使用一系列替代性状多样化模型来评估性状状态和整个进化枝之间的多样化和共同进化动态。其次，两种互补的分析方法将应用于所有具有完全测序基因组的果蝇物种，以探索所有性状的基因型-表型关系，其目标是识别性状多样化背后的候选基因，并为分子进化和基因组研究奠定基础。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。