Collaborative Research: BEE: Bridging the ecology and evolution of East African Acacias across time and space: genomics, ecosystem, and diversification

合作研究:BEE:跨越时间和空间连接东非金合欢的生态和进化:基因组学、生态系统和多样化

基本信息

项目摘要

The physical attributes and behaviors of species are shaped by evolution. These traits determine how individuals interact with their environment (ecology) which then influences the course of evolution. Thus, ecology and evolution are inextricably intertwined. Bridging the fields of evolution and ecology is challenging because the processes involved can operate on similar, or very different, time scales. African savanna acacia trees have evolved to survive and reproduce under harsh conditions not tolerated by many other tree species. Acacias can tolerate fires, droughts, herbivory by giraffes and elephants, and competition from other plants. But how acacias have adapted to these conditions in the past will influence their response to the current changing environment on the African continent. The goal of this study is to develop a comprehensive understanding of the evolutionary history and ecological distribution of African acacias and to explore how species traits and distributions changed over time in response to change in the savanna climate. Ultimately, this knowledge will inform predictions about how acacia habitats will be affected by ongoing climate change. This project not only has broader societal benefit but also it will train undergraduate and graduate students and postdoctoral fellows in evolutionary biology, ecology, plant physiology, and molecular genomics. In addition, the project will expand the content and reach of a successful undergraduate teaching module of ecology and evolution featuring Serengeti National Park and will begin a new bioinformatics training course in partnership with universities in Africa.This project will bridge phylogenetic approaches to diversification with direct ecological field measurement of trait responses and gene expression. The activities include: (1) constructing new, detailed models of the phylogenetic history and ecological distribution of species and traits in the African Acacia Clade, (2) using phylogenomic analyses to study selection, introgression, and gene family expansion in relation to the Savanna Syndrome, (3) measuring acacia trait responses to Savanna Syndrome components (drought, fire, herbivory, grass competition) in a common garden experiment in Arusha, Tanzania, and (4) analyzing the molecular aspects of the phenotypic response through analysis of acacia transcriptomic profiles collected both on site in Tanzania and in controlled greenhouse experiments. Collectively, these linked lines of evidence will provide crucial information about the past evolution of the savanna community, the rapid rise of savannas across Africa that occurred in the Miocene, and its likely response to present ecological change.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.
物种的物理属性和行为是由进化塑造的。这些特征决定了个体如何与环境(生态)相互作用,从而影响进化过程。因此,生态学和进化论是密不可分的。连接进化论和生态学领域具有挑战性,因为所涉及的过程可以在相似或非常不同的时间尺度上运行。非洲稀树草原金合欢树已经进化到能够在许多其他树种无法忍受的恶劣条件下生存和繁殖。金合欢树可以耐受火灾、干旱、长颈鹿和大象的食草以及其他植物的竞争。但金合欢树过去如何适应这些条件将影响它们对非洲大陆当前不断变化的环境的反应。本研究的目的是全面了解非洲金合欢树的进化历史和生态分布,并探索物种特征和分布如何随着时间的推移而变化以应对稀树草原气候的变化。最终,这些知识将有助于预测金合欢栖息地将如何受到持续的气候变化的影响。该项目不仅具有更广泛的社会效益,还将培养进化生物学、生态学、植物生理学和分子基因组学方面的本科生、研究生和博士后。此外,该项目还将扩大以塞伦盖蒂国家公园为特色的生态学和进化论本科生教学模块的内容和范围,并将与非洲大学合作开设新的生物信息学培训课程。该项目将在系统发育方法与直接多样化之间架起桥梁。性状反应和基因表达的生态场测量。这些活动包括:(1) 构建非洲金合欢分支物种和性状的系统发育历史和生态分布的新的详细模型,(2) 使用系统发育分析来研究与稀树草原相关的选择、基因渗入和基因家族扩展综合症,(3) 在坦桑尼亚阿鲁沙的一个常见花园实验中测量金合欢特性对稀树草原综合症成分(干旱、火灾、食草、草竞争)的反应, (4) 通过分析在坦桑尼亚现场和受控温室实验中收集的金合欢转录组图谱,分析表型反应的分子方面。总的来说,这些相互关联的证据将提供有关稀树草原群落过去演化、中新世非洲稀树草原迅速崛起及其对当前生态变化的可能反应的重要信息。该奖项反映了 NSF 的法定使命,并已通过使用基金会的智力优点和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Stephen Smith其他文献

AN EVALUATION OF FEEDYARD MANAGEMENT STRATEGIES TO OPTIMIZE CATTLE FEEDING PERFORMANCE AND ANIMAL HEALTH A Dissertation by AMANDA LYN FULLER
优化牛饲养性能和动物健康的饲养场管理策略评估 AMANDA LYN FULLER 的论文
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    K. Hales;Stephen Smith
  • 通讯作者:
    Stephen Smith
Cell-type–specific neuromodulation guides synaptic credit assignment in a spiking neural network
细胞类型特异性神经调节指导尖峰神经网络中的突触信用分配
TEMPORAL TRENDS IN SSR ALLELE FREQUENCIES ASSOCIATED WITH LONG-TERM SELECTION FOR YIELD OF MAIZE 1
与玉米 1 产量长期选择相关的 SSR 等位基因频率的时间趋势
  • DOI:
  • 发表时间:
    2024-09-14
  • 期刊:
  • 影响因子:
    0.6
  • 作者:
    L. Feng;S. Sebastian;Stephen Smith;M. Cooper
  • 通讯作者:
    M. Cooper
Potential Renewable Bioenergy Production from Canadian Agriculture
加拿大农业潜在的可再生生物能源生产
  • DOI:
    10.3384/ecp110572485
  • 发表时间:
    2011-11-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tingting Liu;B. McConkey;Stephen Smith;B. Mcgregor;T. Huffman;S. Kulshreshtha;Hong Wang
  • 通讯作者:
    Hong Wang
TO FACILITATE DISCRIMINATION OF PICTURE CARDS DURING COMMUNICATION TRAINING
促进沟通训练期间图片卡的辨别
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    David M. Wilson;Scott Miller;Stephen Smith;B. Iwata
  • 通讯作者:
    B. Iwata

Stephen Smith的其他文献

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{{ truncateString('Stephen Smith', 18)}}的其他基金

Collaborative Research: BoCP-Implementation: Integrating Traits, Phylogenies and Distributional Data to Forecast Risks and Resilience of North American Plants
合作研究:BoCP-实施:整合性状、系统发育和分布数据来预测北美植物的风险和恢复力
  • 批准号:
    2325835
  • 财政年份:
    2024
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
IntBIO COLLABORATIVE RESEARCH: Integrating fossils, genomics, and machine learning to reveal drivers of Cretaceous innovations in flowering plants
IntBIO 协作研究:整合化石、基因组学和机器学习,揭示白垩纪开花植物创新的驱动因素
  • 批准号:
    2217116
  • 财政年份:
    2022
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
RAPID: Algorithms and Heuristics for Remote Food Delivery under Social Distancing Constraints
RAPID:社交距离约束下远程食品配送的算法和启发式
  • 批准号:
    2032262
  • 财政年份:
    2020
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
NSFDEB-NERC: Collaborative research: Plant chemistry and its impact on diversification and habitat of plants adapted to extreme environments
NSFDEB-NERC:合作研究:植物化学及其对适应极端环境的植物多样化和栖息地的影响
  • 批准号:
    1938969
  • 财政年份:
    2020
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
Collaborative Research: Temperate radiations and tropical dominance: the diversification and evolution of the plant clade Ericales
合作研究:温带辐射和热带优势:植物分支杜鹃花目的多样化和进化
  • 批准号:
    1917146
  • 财政年份:
    2019
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
CIBR: Collaborative Research: Integrating data communities with BiotaPhy: a computational platform for data-intensive biodiversity research and training
CIBR:协作研究:将数据社区与 BiotaPhy 相集成:用于数据密集型生物多样性研究和培训的计算平台
  • 批准号:
    1930030
  • 财政年份:
    2019
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
Computational Analysis of Transcription and Alternative Splicing Events in Squamous Cell Cancer.
鳞状细胞癌转录和选择性剪接事件的计算分析。
  • 批准号:
    MR/R001146/1
  • 财政年份:
    2018
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Fellowship
IIS-RI: ICAPS 2016 Doctoral Consortium Travel Awards
IIS-RI:ICAPS 2016 博士联盟旅行奖
  • 批准号:
    1630144
  • 财政年份:
    2016
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Connecting resources to enable large-scale biodiversity analyses.
合作研究:ABI 创新:连接资源以实现大规模生物多样性分析。
  • 批准号:
    1458466
  • 财政年份:
    2015
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
Collaborative Research: School Segregation and Resegregation: Using Case Studies and Public Polls to Understand Citizen Attitudes
合作研究:学校隔离和重新隔离:利用案例研究和公众民意调查来了解公民的态度
  • 批准号:
    1527762
  • 财政年份:
    2015
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant

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相似海外基金

Collaborative Research: BEE: Integrating Evolutionary Genetics and Population Ecology to Detect Contemporary Adaptation to Climate Change Across a Species Range
合作研究:BEE:整合进化遗传学和种群生态学来检测当代跨物种对气候变化的适应
  • 批准号:
    2131816
  • 财政年份:
    2022
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
Collaborative Research: Digitization TCN: iDigBees Network, Towards Complete Digitization of US Bee Collections to Promote Ecological and Evolutionary Research in a Keystone Clade
合作研究:数字化 TCN:iDigBees 网络,实现美国蜜蜂收藏的完全数字化,以促进重点进化枝的生态和进化研究
  • 批准号:
    2216932
  • 财政年份:
    2022
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
Collaborative Research: BEE: Integrating Evolutionary Genetics and Population Ecology to Detect Contemporary Adaptation to Climate Change Across a Species Range
合作研究:BEE:整合进化遗传学和种群生态学来检测当代跨物种对气候变化的适应
  • 批准号:
    2131817
  • 财政年份:
    2022
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
Collaborative Research: Digitization TCN: iDigBees Network, Towards Complete Digitization of US Bee Collections to Promote Ecological and Evolutionary Research in a Keystone Clade
合作研究:数字化 TCN:iDigBees 网络,实现美国蜜蜂收藏的完全数字化,以促进重点进化枝的生态和进化研究
  • 批准号:
    2216934
  • 财政年份:
    2022
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
Collaborative Research: Digitization TCN: iDigBees Network, Towards Complete Digitization of US Bee Collections to Promote Ecological and Evolutionary Research in a Keystone Clade
合作研究:数字化 TCN:iDigBees 网络,实现美国蜜蜂收藏的完全数字化,以促进重点进化枝的生态和进化研究
  • 批准号:
    2216946
  • 财政年份:
    2022
  • 资助金额:
    $ 31.44万
  • 项目类别:
    Standard Grant
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