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; 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.

该项目将开发并应用一个统一的框架来研究所有鱼类的演变，包括lamp鼠，鲨鱼和珊瑚礁，深海和淡水鱼。这项工作将阐明谱系关系（系统发育），进化时机以及起源和维持世界各种鱼类多样性的机制，包括最重要的食物和水族馆鱼类。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推广。所有的鱼类标本，标本和DNA数据以及获得的分析结果将通过动态和开放的结构公开获得，该结构符合已建立的标准，以促进对更广泛的科学和非科学社区的广泛可访问性。高中，本科，研究生和博士后学生培训是该项目的核心活动。社交媒体外展和培训也将提供多种专业发展机会。将开发基于图像数据（FISHSNAP）的智能手机的鱼类识别应用程序，并将向公众免费提供，以准确识别所选的鱼类群体。该项目的结果将成为国家自然历史博物馆新公开展览的一部分，以突出自然历史博物馆的标本收藏价值。该综合项目将结合基因组，古生物学，解剖学，功能，生态和比较方法。研究小组将基于收集的鱼类，分子和形态系统发育，生物信息学和比较分析的研究中融合了优势，从而使它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以及关键特征的传统进化分析。时间校准的树将用于揭示主要群体的多元化模式。图像分析，形态图和现象数据将使数千种的大小，形状和生物力学功能的进化模式能够发现。