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Collaborative Research: Modeling the Origin and Evolution of Hawaiian Plants

合作研究：模拟夏威夷植物的起源和进化

基本信息

批准号：
2040347
负责人：
Michael Landis
金额：
$ 54.74万
依托单位：
Washington University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-01-15 至 2024-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2040347&HistoricalAwards=false
关键词：
Collaborative Research Modeling Origin Evolution

项目摘要

Where we find species living today reflects not only how and when their direct ancestors evolved, but also where they evolved. The inseparable relationship between geological and evolutionary history is especially pronounced in volcanic island systems, where the formation, erosion, and subsidence of islands are expected to drive the origin of new species. Within the Hawaiian Islands, such processes have occurred dozens of times and given rise to over 1,000 flowering plant species found nowhere else in the world. Understanding how the Hawaiian flora originated and diversified can help direct conservation efforts, particularly for rare plants. This research will develop a suite of new statistical modeling software to reconstruct how, when, and where groups of closely related species originate, disperse, and go extinct among regions with complex geological histories. The project will integrate existing museum collections and newly collected plant specimens to generate a large genomic dataset for nearly 400 understudied Hawaiian plant populations, then infer how this diversity originated with the newly developed software. In addition to training numerous undergraduate, graduate, postdoctoral, and garden-affiliated researchers through the research project itself, two computational biogeography workshops to train early career researchers will be offered, and a series of publicly available teaching modules on the biogeography of Hawaiian plants will be developed.The project has two overarching objectives. The first objective will develop stochastic models and inference methods to jointly model speciation, extinction, and dispersal processes in the context of a spatiotemporally variable geography. These modeling tools will be made freely available through the open source Bayesian phylogenetics software, RevBayes, to enable other researchers to repurpose the new methods for systems apart from Hawaiian plant biogeography. The second objective will reconstruct the biogeographical histories of 12 understudied, but ecologically diverse, Hawaiian plant radiations. For this, the researchers will collect new plants and tissues to complete several genus-level collections managed by the National Tropical Botanical Garden. The researchers will then generate standardized phylogenomic datasets, using the Angiosperm-353 protocol, for two purposes. First, by evaluating the new phylogenomic data in concert with morphological, ecological, and biogeographical data, the researchers will resolve long-standing puzzles regarding the taxonomy of the 12 plant radiations, including ecologically and morphologically distinctive genera. Second, the new phylogenetic software will be used to infer evolutionary relationships, origination times, and biogeographical histories for the flora, to gain new insights into the biogeographical drivers of island plant radiations.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.

我们发现今天生活在哪里的物种不仅反映了他们的直系祖先是如何以及何时进化的，而且还反映了他们在哪里进化的。地质和进化史之间密不可分的关系在火山岛系统中尤为明显，在那里岛屿的形成、侵蚀和下沉有望推动新物种的起源。在夏威夷群岛，这样的过程已经发生了几十次，产生了世界上其他地方找不到的1000多种开花植物。了解夏威夷植物区系的起源和多样性有助于指导保护工作，特别是稀有植物。这项研究将开发一套新的统计建模软件，以重建在具有复杂地质历史的地区中，密切相关的物种群体如何、何时和在哪里起源、分散和灭绝。该项目将整合现有的博物馆藏品和新收集的植物标本，为近400个未被研究的夏威夷植物种群生成一个大型基因组数据集，然后用新开发的软件推断这种多样性是如何起源的。除了通过研究项目本身培训大量的本科生、研究生、博士后和花园附属研究人员外，还将提供两个计算生物地理学研讨会来培训早期职业研究人员，并将开发一系列公开可用的夏威夷植物生物地理学教学模块。该项目有两个总体目标。第一个目标将开发随机模型和推理方法，以在时空可变的地理环境中联合模拟物种形成、灭绝和扩散过程。这些建模工具将通过开源贝叶斯系统发育软件RevBayes免费提供，使其他研究人员能够将新方法重新用于夏威夷植物生物地理学以外的系统。第二个目标将重建12个未被研究但具有生态多样性的夏威夷植物辐射的生物地理史。为此，研究人员将收集新的植物和组织，以完成由国家热带植物园管理的几个属级别的收集。然后，研究人员将使用Angiosperm-353协议生成标准化的系统基因组数据集，用于两个目的。首先，通过结合形态、生态和生物地理数据评估新的系统基因组数据，研究人员将解决长期存在的关于12种植物辐射的分类问题，包括生态和形态上独特的属。其次，新的系统发育软件将用于推断植物区系的进化关系、起源时间和生物地理历史，以获得对岛屿植物辐射的生物地理驱动因素的新见解。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Fast Bayesian Inference of Phylogenies from Multiple Continuous Characters

多个连续性状的系统发育的快速贝叶斯推断

DOI：
10.1093/sysbio/syad067
发表时间：
2023
期刊：
Systematic Biology
影响因子：
6.5
作者：
Zhang, Rong;Drummond, Alexei J.;Mendes, Fábio K.;Matschiner, ed., Michael
通讯作者：
Matschiner, ed., Michael

RevGadgets: An R package for visualizing Bayesian phylogenetic analyses from RevBayes

RevGadgets：用于可视化 RevBayes 的贝叶斯系统发育分析的 R 包

DOI：
10.1111/2041-210x.13750
发表时间：
2022
期刊：
Methods in Ecology and Evolution
影响因子：
6.6
作者：
Tribble, Carrie M.;Freyman, William A.;Landis, Michael J.;Lim, Jun Ying;Barido‐Sottani, Joellë;Kopperud, Bjørn Tore;Hӧhna, Sebastian;May, Michael R.
通讯作者：
May, Michael R.

Replicated radiation of a plant clade along a cloud forest archipelago

DOI：
10.1038/s41559-022-01823-x
发表时间：
2022-07-18
期刊：
NATURE ECOLOGY & EVOLUTION
影响因子：
16.8
作者：
Donoghue, Michael J.;Eaton, Deren A. R.;Edwards, Erika J.
通讯作者：
Edwards, Erika J.

Genomics expands the mammalverse

基因组学扩大了哺乳动物的范围

DOI：
10.1126/science.add2209
发表时间：
2023
期刊：
Science
影响因子：
56.9
作者：
Upham, Nathan S.;Landis, Michael J.
通讯作者：
Landis, Michael J.

Lessons learned from organizing and teaching virtual phylogenetics workshops

从组织和教授虚拟系统发育学研讨会中汲取的经验教训

DOI：
10.18061/bssb.v1i2.8425
发表时间：
2022
期刊：
Bulletin of the Society of Systematic Biologists
影响因子：
0
作者：
Barido-Sottani, Joëlle;Justison, Joshua A.;Borges, Rui;Brown, Jeremy M.;Dismukes, Wade;Do Rosario Petrucci, Bruno;Guimarães Fabreti, Luiza;Höhna, Sebastian;Landis, Michael J.;Lewis, Paul O.
通讯作者：
Lewis, Paul O.