A macroevolutionary framework to study the assembly of continental biotas

研究大陆生物群组合的宏观进化框架

• 批准号: 1256330
• 负责人: Daniel Rabosky
• 金额: $ 60万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-02-01 至 2018-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1256330&HistoricalAwards=false
• 关键词: macroevolutionary; framework; study; assembly; continental

Some groups of organisms, like beetles, contain incredible numbers of species, but most groups contain far fewer species. Likewise, some groups of animals and plants show dramatic variation in form and function, yet species in many other groups are so similar that only experts can tell them apart. This variation in diversity among groups is one of the most striking patterns in biology, yet its causes are still not understood. The proposed research will develop new mathematical, statistical, and computer-based tools to help scientists explain why biological diversity varies so dramatically among different kinds of organisms. The new methods will be applied to a number of animal groups, providing a high-resolution window into the historical processes that have shaped the diversity of life on Earth.The project will create statistical methods and computer software that will enable researchers to study complex processes that have occurred over millions of years using genetic data from living species. The methodological tools will be optimized for the analysis of massive datasets, thus complementing recent NSF initiatives to reconstruct and analyze the relationships between all living species. The project will establish an international collaborative network and will provide extensive training in computational and quantitative biology for undergraduates, graduate students, and postdoctoral researchers through workshops and mentoring.

有些生物群体，比如甲虫，包含了数量惊人的物种，但大多数群体包含的物种要少得多。同样，有些动物和植物在形态和功能上表现出巨大的差异，但其他许多动物和植物的物种非常相似，只有专家才能将它们区分开来。群体之间的多样性差异是生物学中最引人注目的模式之一，但其原因仍然不清楚。这项研究将开发新的数学、统计和基于计算机的工具，帮助科学家解释为什么不同种类的生物体之间的生物多样性差异如此之大。新方法将应用于一些动物群体，为了解塑造地球生命多样性的历史过程提供一个高分辨率窗口。该项目将创建统计方法和计算机软件，使研究人员能够利用活物种的遗传数据研究数百万年来发生的复杂过程。方法学工具将针对大规模数据集的分析进行优化，从而补充NSF最近重建和分析所有生物物种之间关系的举措。该项目将建立一个国际合作网络，并将通过研讨会和指导为本科生，研究生和博士后研究人员提供广泛的计算和定量生物学培训。