Collaborative Research: FishLife: genealogy and traits of living and fossil vertebrates that never left the water

合作研究：FishLife：从未离开过水的现存脊椎动物和化石脊椎动物的谱系和特征

• 批准号: 1932759
• 负责人: Ricardo Betancur
• 金额: $ 27.3万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-02-20 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1932759&HistoricalAwards=false
• 关键词: Collaborative; Research; FishLife; genealogy; traits

This project will develop and apply a unified framework for studying the evolution of all fishes, including lampreys, sharks, and the coral reef, deep sea and freshwater fishes. This work will illuminate the genealogical relationships (phylogeny), evolutionary timing, and mechanisms for the origin and maintenance of the world's diversity of fishes, including the most important food and aquarium fishes. The project will contribute to community-driven scientific efforts, to student training, to web content and application development, and to public outreach. All fish specimens, specimen and DNA data, and analytical results obtained will be made publicly available through a dynamic and open structure that complies with established standards to facilitate wide accessibility to the broader scientific and non-scientific communities. High school, undergraduate, graduate, and postdoctoral student training are central activities for this project. Social media outreach and training will provide diverse professional development opportunities as well. A fish species identification application for smartphones based on image data (FishSnap) will be developed and made freely available to the public to allow accurate identification of selected groups of fishes. Outcomes of this project will form part of a new public exhibit at the National Museum of Natural History to highlight the value of specimen collections at natural history museums.This integrative project will combine genomic, paleontological, anatomical, functional, ecological, and comparative approaches. The research team blends strengths in collections-based research on fishes, molecular and morphological phylogenetics, bioinformatics, and comparative analyses, allowing them to synthesize big data sets to resolve the phylogeny of all described fish species and conduct evolutionary analysis of key traits. Time-calibrated trees will be used to reveal diversification patterns of the major groups. Image analysis, morphometrics, and phenomic data will enable the discovery of evolutionary patterns in size, shape, and biomechanical function across thousands of species.

该项目将开发和应用一个统一的框架来研究所有鱼类的进化，包括七鳃鳗、鲨鱼、珊瑚礁、深海和淡水鱼。这项工作将阐明世界鱼类多样性的起源和维持的谱系关系（系统发育）、进化时间和机制，包括最重要的食物和观赏鱼。该项目将有助于社区驱动的科学努力、学生培训、网络内容和应用程序开发以及公众宣传。获得的所有鱼类标本、标本和DNA数据以及分析结果将通过符合既定标准的动态和开放结构公开提供，以促进更广泛的科学界和非科学界的广泛访问。高中生、本科生、研究生和博士后的培养是这个项目的核心活动。社交媒体拓展和培训也将提供多样化的专业发展机会。政府将开发一款基于图像数据的智能手机鱼类识别应用程序（FishSnap），并免费提供给公众，以便准确识别选定的鱼类。该项目的成果将成为国家自然历史博物馆新公共展览的一部分，以突出自然历史博物馆标本收藏的价值。这个综合项目将结合基因组学、古生物学、解剖学、功能学、生态学和比较方法。该研究团队融合了基于收集的鱼类研究、分子和形态系统发育、生物信息学和比较分析的优势，使他们能够合成大数据集，以解决所有描述的鱼类物种的系统发育问题，并对关键性状进行进化分析。时间校准树将用于揭示主要群体的多样化模式。图像分析、形态计量学和现象数据将有助于发现数千种物种在大小、形状和生物力学功能方面的进化模式。