CAREER: Integrating causal evolutionary processes into phylogenetic comparative biology

职业:将因果进化过程整合到系统发育比较生物学中

基本信息

项目摘要

Studies of “evolution-in-action” have revealed much about the causes of evolutionary change, including why it sometimes fails. However, it is not always obvious when these causes are also responsible for extinction and adaptation over million-year timescales--the timescale primarily relevant to the evolution and maintenance of biodiversity. With increasing rates of global change, it is vital to understand how and why species either adapt and survive, or fail to adapt and perish. This project builds a bridge between the causes of evolution studied over short timescales and the long-term outcomes evident from existing evolutionary diversity with a new set of computational tools and resources for biology research and education. New models will integrate field, genetic and experimental studies with patterns of trait change from across the tree of life. The research will apply these models to comprehensive datasets in mammals and fishes to better understand the causes of trait change over million-year timescales. The research will also develop and implement freely available classroom resources that specifically address issues of scale and causation over short and long evolutionary timescales--educating the next generation of citizens and scientists to the pressing challenge of predicting how current global change will affect the long-term outlook of biodiversity. Recent controversies suggest strong limits on what inferences can be made from macroevolutionary data alone. One solution to these limitations is to synthesize what we know about the causes and limits of evolution from field and experimental studies into macroevolutionary methods. This project identifies three "injection sites" where such information can be integrated into comparative models to elucidate the causes of macroevolution. The research will develop new models that integrate measurements of genetic variation, natural selection and population data with macroevolutionary scale data. It will also enable integration of biomechanical models based on knowledge of trait functions. By uniting macroevolutionary models with knowledge and data on how microevolutionary data affect the evolutionary process, this research will open new paths for studying the causes of macroevolution. These models will be further connected to the field of causal inference--which has revolutionized artificial intelligence by rethinking how statistical methods represent causation. Finally, the research will address unfilled gaps in biology pedagogy by developing and investigating how to make the non-intuitive shift from Mendelian genetics to macroevolution in biology curricula. This will be accomplished by developing and implementing novel, software-based Open Education resources across multiple institutions.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.
对“行动中的进化”的研究揭示了许多关于进化变化的原因,包括为什么它有时会失败。然而,这些原因是否也导致了数百万年时间尺度的灭绝和适应,这一点并不总是显而易见的。时间尺度主要与生物多样性的进化和维持有关,随着全球变化速度的加快,了解物种如何以及为何适应和生存,或无法适应和灭亡至关重要。短期内效果明显,长期效果明显新模型将利用现有的进化多样性与生物学研究和教育的一套新的计算工具和资源,将现场、遗传和实验研究与整个生命树的性状变化模式相结合。该研究还将开发和实施免费的课堂资源,专门解决短期和长期进化时间尺度上的规模和因果关系问题,从而教育下一代。公民和科学家应对紧迫的挑战预测当前的全球变化将如何影响生物多样性的长期前景最近的争议表明,仅从宏观进化数据中得出的推论存在很大的局限性,解决这些局限性的一种方法是综合我们对进化原因和限制的了解。该项目确定了三个“注入点”,可以将这些信息整合到比较模型中,以阐明宏观进化的原因。该研究将开发整合遗传变异、自然选择和种群测量的新模型。数据与通过将宏观进化模型与微观进化数据如何影响进化过程的知识和数据结合起来,这项研究还将为研究宏观进化的原因开辟新的途径。模型将进一步与因果推理领域联系起来——通过重新思考统计方法如何表示因果关系,该领域彻底改变了人工智能。生物学课程从孟德尔遗传学到宏观进化的非直观转变这将通过在多个机构开发和实施新颖的、基于软件的开放教育资源来实现。该奖项的法定使命是通过使用基金会的智力进行评估,并被认为值得支持。优点和更广泛的影响审查标准。

项目成果

期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Conceptual and empirical bridges between micro- and macroevolution
  • DOI:
    10.1038/s41559-023-02116-7
  • 发表时间:
    2023-07-10
  • 期刊:
  • 影响因子:
    16.8
  • 作者:
    Rolland,Jonathan;Henao-Diaz,L. Francisco;Schluter,Dolph
  • 通讯作者:
    Schluter,Dolph
How should functional relationships be evaluated using phylogenetic comparative methods? A case study using metabolic rate and body temperature
  • DOI:
    10.1111/evo.14213
  • 发表时间:
    2021-03
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    J. Uyeda;Nicholas Bone;Sean W. McHugh;J. Rolland;Matthew W. Pennell
  • 通讯作者:
    J. Uyeda;Nicholas Bone;Sean W. McHugh;J. Rolland;Matthew W. Pennell
Causes and Consequences of Apparent Timescaling Across All Estimated Evolutionary Rates
所有估计进化速率的明显时间尺度的原因和后果
  • DOI:
    10.1146/annurev-ecolsys-011921-023644
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Harmon, Luke J.;Pennell, Matthew W.;Henao-Diaz, L. Francisco;Rolland, Jonathan;Sipley, Breanna N.;Uyeda, Josef C.
  • 通讯作者:
    Uyeda, Josef C.
Cross-disciplinary information for understanding macroevolution
  • DOI:
    10.1016/j.tree.2022.10.013
  • 发表时间:
    2023-02-14
  • 期刊:
  • 影响因子:
    16.8
  • 作者:
    Liow, Lee Hsiang;Uyeda, Josef;Hunt, Gene
  • 通讯作者:
    Hunt, Gene
Rules of teeth development align microevolution with macroevolution in extant and extinct primates
  • DOI:
    10.1038/s41559-023-02167-w
  • 发表时间:
    2023-08-31
  • 期刊:
  • 影响因子:
    16.8
  • 作者:
    Machado,Fabio A.;Mongle,Carrie S.;Uyeda,Josef C.
  • 通讯作者:
    Uyeda,Josef C.
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Josef Uyeda其他文献

Josef Uyeda的其他文献

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{{ truncateString('Josef Uyeda', 18)}}的其他基金

Collaborative Research: ABI Innovation: Enabling machine-actionable semantics for comparative analyses of trait evolution
合作研究:ABI 创新:启用机器可操作的语义以进行特征进化的比较分析
  • 批准号:
    1661516
  • 财政年份:
    2017
  • 资助金额:
    $ 98.15万
  • 项目类别:
    Standard Grant

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