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NSF Postdoctoral Fellowship in Biology FY 2020: From genomes to geographic distributions: testing the eco-evolutionary mechanisms of species range limits

NSF Postdoctoral Fellowship in Biology FY 2020: From genomes to geographic distributions: testing the eco-evolutionary mechanisms of species range limits
2020 财年 NSF 生物学博士后奖学金:从基因组到地理分布:测试物种范围限制的生态进化机制
批准号:
2010892
负责人:
John Benning
金额:
$13.8万
依托单位:
依托单位国家:
美国
项目类别:
Fellowship Award
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2023-08-31

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中文摘要
翻译
这项行动资助了2020财年的NSF生物学博士后研究奖学金,综合研究调查了基因组,环境和表型之间的生命相互作用的规则。该研究金支持研究员的研究和培训,以创新的方式为生活规则领域做出贡献。生态学和进化生物学的核心问题之一是什么限制了物种的分布--既然自然选择的力量能够产生对新环境的适应,为什么每个物种只占据地球栖息地的一小部分?与此相关的是,是什么使入侵物种能够迅速扩大它们的范围,而许多本地物种已经在同一个地方生活了数百代?一个物种扩大其范围的能力将取决于环境在空间和时间上的变化速度,以及适应新环境的遗传学基础。这项研究将使用实验,基因组学和建模来揭示促进和阻碍人口适应在景观中扩展的因素,同时培训本科生关键研究方法并支持非正式的公共科学教育。当限制物种分布的因素已知时,将有可能更好地管理入侵物种,并更准确地预测物种的范围将如何在气候变化中变化。该项目将使用一套互补的方法来阐明促进和阻碍跨生态梯度适应的生态进化动态。首先,该研究员将使用红粉甲虫(赤拟谷盗)的实验进化来测试梯度形状,扩散潜力和时间环境变化对范围扩展和适应新环境的潜在交互作用。然后,该研究将使用来自该实验的种群基因组数据来了解范围扩展期间适应的遗传变化,防止稳定范围限制适应的遗传机制,以及梯度类型,分散和时间变化如何通过种群遗传效应影响范围动态。最后,将建立一个新的基于个人的仿真模型,参数化的实验数据,并扩展最近的范围限制模型,包括在选择性的环境中的时间变化。该研究员将通过怀俄明州研究学者计划招募本科生,重点关注STEM领域代表性不足的群体,并通过拟议的研究和对个人项目的支持来指导这些学生。在大学之外,这位研究员将把引人入胜的生物学课程带到非正式的公共场所。完成该奖学金后,该研究员将在一系列理论,经验和基因组学方法方面拥有广泛的互补经验。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This action funds an NSF Postdoctoral Research Fellowship in Biology for FY 2020, Integrative Research Investigating the Rules of Life Governing Interactions Between Genomes, Environment and Phenotypes. The fellowship supports research and training of the fellow that will contribute to the area of Rules of Life in innovative ways. One of the central questions of ecology and evolutionary biology is what limits species’ distributions — given the power of natural selection to produce adaptations to novel environments, why does every species occupy only a small portion of the Earth’s habitat? Related to this, what enables invasive species to rapidly expand their range while many native species have been in the same place for hundreds of generations? The ability of a species to expand its range will be determined by how quickly the environment changes across space and time, and the genetics underlying adaptation to new environments. This research will use experiments, genomics, and modeling to uncover the factors that promote and hinder adaptation of populations expanding across the landscape, while training undergraduates in key research methods and supporting informal, public science education. When the factors limiting species’ distributions are known, it will be possible to better manage invasive species, and more accurately predict how species’ ranges will shift in a changing climate. This project will use a complementary suite of approaches to elucidate the eco-evolutionary dynamics that promote and hinder adaptation across ecological gradients. First, the fellow will use experimental evolution of the red flour beetle (Tribolium castaneum) to test the potentially interactive effects of gradient shape, dispersal potential, and temporal environmental variation on range expansion and adaptation to novel environments. The research will then use population genomic data from this experiment to understand the genetic changes underlying adaptation during range expansion, the genetic mechanisms preventing adaptation at stable range limits, and how gradient type, dispersal, and temporal variation influence range dynamics through population genetic effects. Finally, a novel individual-based simulation model will be built, parameterized with the experimental data, and extends recent range limit models by including temporal variation in selective environments. The fellow will recruit undergraduate students through the Wyoming Research Scholars Program, focusing on groups underrepresented in STEM fields, and mentor these students through the proposed research and support of individual projects. Outside the university, the fellow will bring engaging biology lessons to informal, public venues. Upon completion of this fellowship the fellow will have extensive, complementary experience in a range of theoretical, empirical, and genomics approaches.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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