NSF Postdoctoral Fellowship in Biology: Coalescent Modeling of Sex Chromosome Evolution with Gene Flow and Analysis of Sexed-versus-Gendered Effects in Human Admixture

NSF 生物学博士后奖学金：性染色体进化与基因流的合并模型以及人类混合中性别与性别效应的分析

• 批准号: 2305910
• 负责人: Miriam Miyagi
• 金额: $ 24万
• 依托单位: Miyagi, Miriam
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2305910&HistoricalAwards=false
• 关键词: NSF; Postdoctoral; Fellowship; Biology; Coalescent

This action funds an NSF Postdoctoral Research Fellowship in Biology for FY 2023, Broadening Participation of Groups Underrepresented in Biology. The goal of this project is to generate insights about how events in human evolutionary history, such as interactions between populations, can be inferred from modern genome data. This work seeks to deepen the understanding of biological and social factors that have shaped human history. The research will also generate theories to contextualize identity categories within human evolutionary genomics, and further develop approaches to help understand human diversity. In addition, this project will provide the fellow with training in the mathematical and computational techniques used in population genetics, and promote the fellow’s activities in public outreach, mentoring of trainees, and fostering inclusive community within Brown University’s postdoctoral body.This project will give the fellow an opportunity to continue developing skills in theoretical population genetics, with a particular focus on coalescent theory and simulations. The project will include the development of a coalescent model which can describe the evolution of non-autosomal chromosomes with inversions, a critical component of modeling patterns of bias in admixture. In addition, the fellow will use forward-time population genetic simulations of gene flow between populations to generate expectations of patterns of relatedness under novel models of gene-by-environmental and cultural determination of migration probability. The fellow will then use the results of the theory and simulation work to generate insights into how human demographic history has been impacted by cultural and biological factors. This project will build on work in science and technology studies, mathematics, and evolutionary biology to generate an interdisciplinary understanding of how populations evolve in the face of admixture and gene flow. Finally, throughout the course of the project, the fellow will support underrepresented students in STEM through teaching, mentorship, and community organizing in collaboration with existing groups at Brown University.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.

该行动资助了 2023 财年 NSF 生物学博士后研究奖学金，扩大生物学领域代表性不足的群体的参与。该项目的目标是深入了解如何从现代推断人类进化史上的事件，例如种群之间的相互作用。这项工作旨在加深对塑造人类历史的生物和社会因素的理解，并将产生将身份类别置于人类进化基因组学背景下的理论，并进一步开发帮助理解人类多样性的方法。此外，该项目将为该研究员提供群体遗传学中使用的数学和计算技术的培训，并促进该研究员在受训人员的公共外展指导方面的活动，以及在布朗大学博士后机构内培养包容性社区。该项目将为该研究员提供继续学习理论群体遗传学技能的机会，特别关注合并理论和模拟。该项目将包括开发一个合并模型，该模型可以描述具有倒置的非常染色体染色体的进化，开发建模的关键组成部分。此外，该研究员还将利用人口之间基因流动的远期人口遗传模拟，在基因与环境和文化决定迁移概率的新模型下产生相关性模式的预期。理论和模拟工作的结果旨在深入了解人类人口历史如何受到文化和生物因素的影响。该项目将建立在科学技术研究、数学和进化生物学工作的基础上，以形成对人口如何进化的跨学科理解。面对混合物和基因最后，在整个项目过程中，该研究员将与布朗大学现有团体合作，通过教学、指导和社区组织来支持 STEM 领域代表性不足的学生。该奖项是 NSF 的法定使命，并通过评估被认为值得支持。利用基金会的智力优势和更广泛的影响审查标准。