Collaborative Research: Understanding Large-scale Patterns of Ecomorph Evolution

合作研究：了解生态形态进化的大规模模式

基本信息

批准号：
1655690
负责人：
John Wiens
金额：
$ 27.89万
依托单位：
University of Arizona
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-05-01 至 2020-04-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1655690&HistoricalAwards=false
关键词：
Collaborative Research Understanding Large scale

项目摘要

A fundamental goal of biology is to understand the diversity of life. Some of the most interesting diversity involves ecomorphs, which are different species that have evolved to have similar body forms and behaviors that adapt them to the same ecological niche. It is known that the same ecomorph often evolves independently many times, but little is known about what explains overall patterns of ecomorph evolution. For example, is evolutionary change between some ecomorphs more common than others, and what explains these differences? In this project, a new, integrative approach will be developed to explore these fundamental questions about evolution, using frogs as a model system. The approach combines reconstructing species ancestry, (i.e., their evolutionary relationships), with data on species ecology, body morphology, physiological performance (how well they jump, swim, and climb), and their geographic distribution. This study will provide the first exploration of how these different factors explain large-scale patterns of ecomorph evolution across this major group of organisms. To address these factors, the investigators will develop statistical tools that can be applied to any group of organisms. General questions about the methods used to reconstruct evolutionary trees with genetic data will also be addressed. This project will support training of undergraduates, graduate students, and postdoctoral researchers in a diversity of disciplines and techniques. The training will also include a summer undergraduate research experience, with students recruited from historically underrepresented groups. Outreach talks and a video on the project's goals, results, and implications will be delivered to public audiences. This project has two major objectives. First, a new large-scale phylogeny of anurans will be developed, using new phylogenomic data from ultraconserved elements and existing supermatrices. Urgent and general questions about the methodology of phylogenomic analyses will also be addressed. Second, the investigators will estimate patterns of transitions in ecomorphs and test the factors that explain these patterns. Specifically, researchers will collect morphological data from museum specimens for ~2,500 species. They will also collect new performance data for 65 targeted species from North America, Europe, Africa, and Madagascar, and add this to their existing performance data for 63 species from Asia, Australia, and North and South America. Data will be obtained on microhabitats and analyzed in the context of the new phylogeny to estimate transition rates among microhabitat-associated ecomorphs. Several hypotheses will then be tested about why transition rates differ among ecomorphs, including hypotheses related to ecomorph morphology, functional performance, diversification rates, and biogeography. Data will come from the scientific literature, specimens from scientific collections, and fieldwork in North America, Europe, and Africa.

生物学的一个基本目标是了解生活的多样性。一些最有趣的多样性涉及生态形状，它们是不同的物种，它们已经演变成具有相似的身体形式和行为，使它们适应了相同的生态位。众所周知，相同的ecomorph通常会独立演变，但对解释Ecomorph Evolution的总体模式的原因知之甚少。例如，某些生态形状之间的进化变化是否比其他生态变化更常见，是什么解释了这些差异？在这个项目中，将开发一种新的综合方法来探索有关进化的这些基本问题，并使用青蛙作为模型系统。该方法结合了重建物种祖先（即它们的进化关系），以及有关物种生态学，身体形态，生理表现（它们的跳跃，游泳和攀爬）以及其地理分布的数据。这项研究将对这些不同因素如何解释在这一主要生物体中如何解释Ecomorph进化的大规模模式。为了解决这些因素，研究人员将开发可应用于任何生物体的统计工具。还将解决有关用于重建进化树使用遗传数据的方法的一般问题。该项目将支持各种学科和技术的本科生，研究生和博士后研究人员的培训。该培训还将包括夏季本科研究经验，并从历史上代表性不足的群体中招募了学生。推广会谈和有关该项目的目标，结果和含义的视频将交付给公众观众。该项目有两个主要目标。首先，将使用超保守元素和现有超级元素的新系统基因数据来开发新的大规模系统发育。还将解决有关系统基因分析方法的紧急问题。其次，研究人员将估计生态形态中过渡的模式，并测试解释这些模式的因素。具体来说，研究人员将从博物馆标本中收集〜2500种的形态数据。他们还将收集来自北美，欧洲，非洲和马达加斯加的65种有针对性物种的新绩效数据，并将其添加到其现有的绩效数据中，以了解来自亚洲，澳大利亚以及北美和南美的63种物种的现有性能数据。数据将在微栖息地上获得，并在新系统发育的背景下进行分析，以估计与微生物相关的生态形态之间的过渡速率。然后将测试几种假设，以了解为什么生态形状之间的过渡率不同，包括与生态形态，功能性能，多样化率和生物地理学有关的假设。数据将来自科学文献，来自科学收藏的标本以及北美，欧洲和非洲的野外工作。

项目成果

期刊论文数量（20）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

BAMM gives misleading rate estimates in simulated and empirical datasets

DOI：
10.1111/evo.13574
发表时间：
2018-10-01
期刊：
EVOLUTION
影响因子：
3.3
作者：
Meyer, Andreas L. S.;Roman-Palacios, Cristian;Wiens, John J.
通讯作者：
Wiens, John J.

Do Alignment and Trimming Methods Matter for Phylogenomic (UCE) Analyses?

DOI：
10.1093/sysbio/syaa064
发表时间：
2020-08
期刊：
Systematic biology
影响因子：
6.5
作者：
D. Portik;J. Wiens
通讯作者：
D. Portik;J. Wiens

Recent responses to climate change reveal the drivers of species extinction and survival

DOI：
10.1073/pnas.1913007117
发表时间：
2020-02-25
期刊：
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
影响因子：
11.1
作者：
Roman-Palacios, Cristian;Wiens, John J.
通讯作者：
Wiens, John J.

Evolution of diet across the animal tree of life

整个动物生命树的饮食演变