globalchange  > 全球变化的国际研究计划
项目编号: 1655812
项目名称:
Collaborative Research: Understanding Large-Scale Patterns of Ecomorph Evolution
作者: Daniel Moen
承担单位: Oklahoma State University
批准年: 2017
开始日期: 2017-05-01
结束日期: 2020-04-30
资助金额: 392648
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Biological Sciences - Environmental Biology
英文关键词: ecomorph ; project ; ecomorph evolution ; datum ; same ecomorph ; microhabitat-associated ecomorph ; summer undergraduate research experience ; postdoctoral researcher ; evolutionary relationship ; evolutionary change ; species ; ecomorph morphology ; evolutionary tree
英文摘要: 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.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/90265
Appears in Collections:全球变化的国际研究计划
科学计划与规划

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Daniel Moen. Collaborative Research: Understanding Large-Scale Patterns of Ecomorph Evolution. 2017-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Daniel Moen]'s Articles
百度学术
Similar articles in Baidu Scholar
[Daniel Moen]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Daniel Moen]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.