Identifying the Utility of Species-Tree Approaches for Deep Radiations
确定物种树方法在深辐射中的效用
基本信息
- 批准号:1118815
- 负责人:
- 金额:$ 33.06万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-07-01 至 2015-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The unprecedented amount of DNA sequence data made available by recent technological advances is changing how biologists approach questions. Such data have great power to reveal the history of species diversification by improving estimates of species relationships. However, the opportunities for improving estimates of species relationships are at risk because data collection is outpacing the development of analytical methods to handle the data. This project explores the power and limitations in recently developed methods to infer the history of "deep radiations" (events of rapid species diversifications that occurred in the distant past), which may be hampered by conflicting historical signal from different genomic regions. It will use computer simulations to not only evaluate key data properties affecting historical reconstructions, but also identify what combination of data and methodological practices are likely to improve estimates of species relationships. These simulations will be informed by examples from nature, assuring that biological realities, not just theoretical ideals, are jointly considered. Deep radiations are of particular interest because they have had a major impact on present day diversity. Our inability to accurately infer the species relationships that define these events impedes our ability to link diversification with global events such as climate change and movements of the earth's continents. By identifying methodological properties and types of analyses that effectively utilize the genomic data now becoming available, this project will improve the foundation that many evolutionary and ecological questions depend upon -- a resolved history of species diversification.
由于最近的技术进步,大量的DNA序列数据正在改变生物学家解决问题的方式。这些数据通过改进物种关系的估计,对揭示物种多样化的历史有很大的帮助。然而,由于数据收集的速度超过了处理数据的分析方法的发展,改善物种关系估计的机会正处于危险之中。本项目探讨了最近发展的推断“深辐射”(发生在遥远过去的物种快速多样化事件)历史的方法的力量和局限性,这些方法可能受到来自不同基因组区域的相互冲突的历史信号的阻碍。它将使用计算机模拟,不仅评估影响历史重建的关键数据属性,而且还确定数据和方法实践的哪些组合可能改善物种关系的估计。这些模拟将以自然界的例子为依据,确保共同考虑生物现实,而不仅仅是理论理想。深辐射之所以特别有趣,是因为它们对当今的生物多样性产生了重大影响。我们无法准确地推断出定义这些事件的物种关系,这阻碍了我们将多样性与气候变化和地球大陆运动等全球事件联系起来的能力。通过确定有效利用现有基因组数据的方法属性和分析类型,该项目将改善许多进化和生态问题所依赖的基础——解决物种多样化的历史。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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L. Lacey Knowles其他文献
Geographic distributions, phenotypes, and phylogenetic relationships of <em>Phalloceros</em> (Cyprinodontiformes: Poeciliidae): Insights about diversification among sympatric species pools
- DOI:
10.1016/j.ympev.2018.12.008 - 发表时间:
2019-03-01 - 期刊:
- 影响因子:
- 作者:
Andréa T. Thomaz;Tiago P. Carvalho;Luiz R. Malabarba;L. Lacey Knowles - 通讯作者:
L. Lacey Knowles
Machine Learning Biogeographic Processes from Biotic Patterns: A New Trait-Dependent Dispersal and Diversification Model with Model-Choice By Simulation-Trained Discriminant Analysis
来自生物模式的机器学习生物地理过程:一种新的性状依赖型扩散和多样化模型,通过模拟训练判别分析进行模型选择
- DOI:
10.1101/021303 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Jeet Sukumaran;Evan P. Economo;L. Lacey Knowles - 通讯作者:
L. Lacey Knowles
Resolving Species Phylogenies of Recent Evolutionary Radiations1
解析近期进化辐射的物种系统发育1
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
L. Lacey Knowles;Yat - 通讯作者:
Yat
Trait-Dependent Biogeography: (Re)Integrating Biology into Probabilistic Historical Biogeographical Models.
性状相关的生物地理学:(重新)将生物学整合到概率历史生物地理学模型中。
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:16.8
- 作者:
Jeet Sukumaran;L. Lacey Knowles - 通讯作者:
L. Lacey Knowles
Hybridization boosters diversification in a Neotropical Bulbophyllum (Orchidaceae) group.
杂交促进了新热带球藻属(兰科)群体的多样化。
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:4.1
- 作者:
Cecilia F Fiorini;Eric de Camargo Smidt;L. Lacey Knowles;E. Leite Borba - 通讯作者:
E. Leite Borba
L. Lacey Knowles的其他文献
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{{ truncateString('L. Lacey Knowles', 18)}}的其他基金
Collaborative Research: Testing Hypotheses about Rates of Diversification & Controls on Diversification related to the Opportunities for Speciation vs Fate of Incipient Diverge
合作研究:检验有关多元化率的假设
- 批准号:
2114070 - 财政年份:2021
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
Collaborative Research: Digitization TCN: Extending Anthophila research through image and trait digitization (Big-Bee)
合作研究:数字化 TCN:通过图像和性状数字化扩展 Anthophila 研究(Big-Bee)
- 批准号:
2101345 - 财政年份:2021
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
A Bayesian statistical approach to determine whether genetic data delimits species versus populations
用于确定遗传数据是否区分物种与种群的贝叶斯统计方法
- 批准号:
1655607 - 财政年份:2017
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
DISSERTATION RESEARCH: Speciation, niche divergence, and character displacement at multiple scales in Lasiopogon robber flies (Diptera: Asilidae)
论文研究:Lasiopogon 强盗蝇(双翅目:Asilidae)的物种形成、生态位分歧和多个尺度的特征位移
- 批准号:
1601389 - 财政年份:2016
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
DISSERTATION RESEARCH: Can the degree of mimicry predict levels of genetic structure among populations? A test using mimetic ground beetles
论文研究:拟态程度可以预测人群之间的遗传结构水平吗?
- 批准号:
1601260 - 财政年份:2016
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
DISSERTATION RESEARCH: Riverscape genetics: testing the role of river properties with population-genetic models in Neotropical freshwater fishes
论文研究:河流景观遗传学:用种群遗传模型测试河流特性在新热带淡水鱼类中的作用
- 批准号:
1501301 - 财政年份:2015
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
DISSERTATION RESEARCH: The species versus subspecies conundrum: quantitative assessment from integrating multiple data types under a single Bayesian framework in Hercules beetles
论文研究:物种与亚种难题:在大力神甲虫的单一贝叶斯框架下整合多种数据类型的定量评估
- 批准号:
1501462 - 财政年份:2015
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
DISSERTATION RESEARCH: Tests of parallel divergence processes in montane plants: links between population differentiation and species diversity patterns
论文研究:山地植物平行分化过程的测试:种群分化与物种多样性模式之间的联系
- 批准号:
1309072 - 财政年份:2013
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
DISSERTATION RESEARCH: Adaptive divergence in Anopheles gambiae (with gene flow): facilitation via chromosomal inversions
论文研究:冈比亚按蚊的适应性分化(基因流):通过染色体倒位促进
- 批准号:
1210359 - 财政年份:2012
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
COLLABORATIVE RESEARCH: Estimating Species Trees with Population Genetic Approaches: Working Towards a New Phylogenetic Paradigm for 21st Century Phylogenetics
合作研究:用群体遗传学方法估计物种树:为 21 世纪系统发育学建立新的系统发育范式
- 批准号:
0918218 - 财政年份:2009
- 资助金额:
$ 33.06万 - 项目类别:
Standard Grant
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