NSF Postdoctoral Fellowship in Biology FY 2020
NSF Postdoctoral Fellowship in Biology FY 2020
批准号:
2010290
负责人:
Daniel Friedman
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:
2020-10-01 至 2023-09-30
中文摘要
该行动资助了NSF 2020财年生物学博士后研究奖学金,研究基因组,环境和表型之间相互作用的生命规则的综合研究。该奖学金支持将以创新方式为《生活规则》领域作出贡献的研究员的研究和培训。本研究调查了膜翅目昆虫的生态学和进化,包括蚂蚁、蜜蜂、黄蜂和锯蝇等物种。这项工作有助于我们科学地理解遗传学、表观遗传学、行为和生态学是如何在发育和生态时间尺度上相互关联的,在一个被充分研究和生物多样性的昆虫分支的背景下。这个项目解决了生物学中的基本问题,包括:蚂蚁和蜜蜂的群体生活(群居性)是如何从它们孤独的祖先中产生的?群体特征是如何产生并变得复杂的?群体特征的荷尔蒙和神经生物学基础如何与物种间的遗传和生态变异联系起来?这些来自社会群体进化的见解如何帮助人类设计有弹性的分布式系统,例如应对灾难,管理社会传播的病原体,以及提高网络物理系统的安全性?该研究员还将积极参与科学传播、指导和推广项目,特别强调当地服务不足的社区、基于团队的远程教育和跨学科方法,如复杂性科学。群居(群居)昆虫在种群内部和物种之间表现出重要的生态群体特征,如行为(如集体觅食、搜索、进攻/防御)和繁殖策略的差异。组织特异性基因表达模式可以通过改变群体水平的生理过程以非线性方式影响群体特征,如集体行为。以前研究昆虫群居性状进化的方法都是有限的系统发育范围,没有考虑组织特异性基因表达在群体水平生理过程中的作用,或者只考虑所有物种中存在的单拷贝同源基因。该项目将整合多种生物学技术(系统基因组学、转录组学、化学谱学、生态位建模),研究膜翅目昆虫谱系特异性基因、复杂基因家族和组织特异性表达模式的进化和功能作用。更广泛地说,本研究建立的理论模型和生物信息学管道将远远超出膜翅目,并为跨分类群的综合合成提供途径。该研究员将由Brian Johnson教授(加州大学戴维斯分校)和Tim Linksvayer教授(宾夕法尼亚大学)共同培训,并将致力于提高科学的参与度、包容性、可重复性和透明度。该奖项反映了美国国家科学基金会的法定使命,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. This research investigates the ecology and evolution of the Hymenoptera, the order of insects containing species such as ants, bees, wasps, and sawflies. The work contributes to our scientific understanding of how genetics, epigenetics, behavior, and ecology are related over developmental and ecological time scales, in the context of a well-studied and biodiverse clade of insects. This project addresses fundamental questions in biology including: How did colony living (eusociality) arise in ants and bees from their solitary ancestors? How do colony traits originate and become elaborate? How are the hormonal and neurobiological underpinnings of colony traits linked to genetic and ecological variation among species? How might these insights from eusocial colony evolution help humans design resilient distributed systems, for example to respond to disasters, manage socially-spread pathogens, and improve the security of cyberphysical systems? The Fellow will also actively engage in science communication, mentoring, and outreach programs, with a special emphasis on local underserved communities, team-based remote education, and transdisciplinary approaches such as Complexity Science.Eusocial (colony-living) insect species display variation within populations and among species in ecologically-important colony traits such as behavior (e.g. collective foraging, search, offense/defense) and reproductive strategies. Tissue-specific gene expression patterns can influence colony traits such as collective behavior in a non-linear fashion through altering colony-level physiological processes. Previous approaches to studying the evolution of eusocial insect colony traits have been of limited phylogenetic scope, have not considered the role of tissue-specific gene expression in colony-level physiological processes, or only considered genes with single-copy orthologs present in all species considered. This project will integrate multiple biological techniques (phylogenomics, transcriptomics, chemical profiling, ecological niche modeling) to investigate the evolutionary and functional roles of lineage-specific genes, complex gene families, and tissue-specific expression patterns in Hymenoptera. More broadly, the theoretical models and bioinformatic pipelines developed in this research will generalize far beyond the Hymenoptera, and provide avenues for integrative synthesis across taxa. The Fellow will be co-trained by Prof. Brian Johnson (University of California, Davis) and Prof. Tim Linksvayer (University of Pennsylvania), and will work to increase participation, inclusion, reproducibility, and transparency in science.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Preferences and Equilibrium in Laboratory Financial Markets
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批准号:1357867
-
项目类别:Standard Grant
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资助金额:$32.45万
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财政年份:2014
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负责人:Daniel Friedman
-
依托单位:
Doctoral Dissertation Research in DRMS: Financial Circuit Breakers: Theory and Experiments
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批准号:1260813
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项目类别:Standard Grant
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资助金额:$2.59万
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财政年份:2013
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负责人:Daniel Friedman
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依托单位:
ICES: Small: Economic Analysis of Recommender Systems
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批准号:1101741
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项目类别:Standard Grant
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资助金额:$39.62万
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财政年份:2011
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负责人:Daniel Friedman
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依托单位:
Continuous Games in the Laboratory--Programming Support
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批准号:1058130
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项目类别:Standard Grant
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资助金额:$1.56万
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财政年份:2010
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负责人:Daniel Friedman
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依托单位:
Continuous Games in the Laboratory
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批准号:0925039
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项目类别:Standard Grant
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资助金额:$59.83万
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财政年份:2009
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负责人:Daniel Friedman
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依托单位:
Science and Technology Scholarship Program Supporting Enrollments in Computer Science, Engineering, Biological and Physcial Sciences and Mathematics
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批准号:0728047
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项目类别:Standard Grant
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资助金额:$54.93万
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财政年份:2007
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负责人:Daniel Friedman
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依托单位:
Collaborative Research: IT-Enhanced Market Design and Experiments
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批准号:0527770
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2006
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负责人:Daniel Friedman
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依托单位:
Landscape Dynamics: Models for the Social Sciences
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批准号:0436509
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项目类别:Standard Grant
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资助金额:$33.39万
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财政年份:2005
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负责人:Daniel Friedman
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依托单位:
A Laboratory Exploration of Networked Markets
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批准号:0351801
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2004
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负责人:Daniel Friedman
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依托单位:
Computer Science, Engineering, and Mathematics Scholarships
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批准号:0123041
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项目类别:Standard Grant
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资助金额:$17.18万
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财政年份:2002
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负责人:Daniel Friedman
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依托单位:
Market Dynamics in Cyberspace
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批准号:9986651
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项目类别:Continuing Grant
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资助金额:$43.5万
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财政年份:2000
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负责人:Daniel Friedman
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依托单位:
SGER: Gradual Compilers
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批准号:9987458
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:2000
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负责人:Daniel Friedman
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依托单位:
Doctoral Dissertation Research: Learning in Three by Three Bimatrix Games; An Investigation With Experimental Data
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批准号:9617648
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项目类别:Standard Grant
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资助金额:$0.75万
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财政年份:1997
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负责人:Daniel Friedman
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依托单位:
A Laboratory Study of Customer Markets
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批准号:9617917
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项目类别:Continuing Grant
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资助金额:$16.41万
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财政年份:1997
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负责人:Daniel Friedman
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依托单位:
Dynamically Extensible Computational Reflection
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批准号:9633109
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项目类别:Continuing Grant
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资助金额:$18.73万
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财政年份:1996
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负责人:Daniel Friedman
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依托单位:
Programming with First-Class Contexts
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批准号:9302114
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项目类别:Standard Grant
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资助金额:$15.04万
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财政年份:1994
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负责人:Daniel Friedman
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依托单位:
Optimal and Adaptive Learning Models for Nondeterministic Tasks
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批准号:9310347
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项目类别:Continuing Grant
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资助金额:$19.5万
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财政年份:1993
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负责人:Daniel Friedman
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依托单位:
A Laboratory Study of Price Formation and Learning in Auction Markets
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批准号:9223461
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项目类别:Continuing Grant
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资助金额:$12.23万
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财政年份:1993
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负责人:Daniel Friedman
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依托单位:
Real-Life, Real-Time Problem-Solving Laboratories for Undergraduate Sciences
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批准号:9351180
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项目类别:Standard Grant
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资助金额:$4.0万
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财政年份:1993
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负责人:Daniel Friedman
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依托单位:
Fostering Computational Problem-Solving Skills in Introductory Sciences: An Interactive Multimedia Curriculum
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批准号:9156043
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项目类别:Standard Grant
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资助金额:$34.99万
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财政年份:1992
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负责人:Daniel Friedman
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依托单位:
海外基金