Collaborative Research: Testing the spatio-temporal repeatability of (co)evolution in Tasmanian devils and their transmissible cancer
Collaborative Research: Testing the spatio-temporal repeatability of (co)evolution in Tasmanian devils and their transmissible cancer
批准号:
2324455
负责人:
Andrew Storfer
金额:
$96.92万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-15 至 2027-07-31
中文摘要
新发传染病是21世纪全球面临的主要挑战。除严重影响人类健康外,eid现已成为生物多样性下降的主要原因。一个众所周知的例子是一种致命的、可传播的癌症,它威胁着袋獾的灭绝。典型的传染病,宿主进化以抵抗病原体。反过来,病原体被迫进化以克服新的宿主防御。的确,长期的数据表明,魔鬼和它们的肿瘤是在相互反应中进化的,但它们相互反应的遗传途径仍然没有得到很好的描述。这项研究的目的是确定魔鬼适应性变化的遗传途径,如感染后存活率的提高,在感染不同时间的魔鬼群体中是否相似或不同。同样,肿瘤已经适应,也将进行肿瘤遗传进化在时间和空间上的可重复性测试。这项工作的影响是深远的。例如,如果种群之间的遗传途径相似,那么保护和治疗方案就可以普遍化。相反,如果遗传途径不同,治疗方案可能需要量身定制,针对不同人群采用不同的治疗方法。无论如何,这项工作将改善对标志性的袋獾的保护和管理。此外,袋獾癌症的进化与人类癌症非常相似,这为在自然种群中追踪肿瘤进化提供了独特的机会。当今生命科学中最大的挑战之一是揭示基因型-表现型的关系。快速的全球变化需要评估物种的适应能力,以及适应性进化是否可重复,以指导适当的管理策略。由于大多数表型性状的多基因性质,这是一项艰巨的任务。然而,毒力强的eid在传播过程中可以对多个宿主种群施加强烈的选择压力,这为测试宿主-病原体进化中的可重复性模式提供了一种方法。袋獾及其致命的传染性癌症是此类测试的典范系统。在塔斯马尼亚州,疾病从东到西的传播过程创造了一个自然实验。不同的魔鬼种群被感染的世代数不同,处于疾病发展的不同进化阶段。成千上万的患病和健康魔鬼的表型测量,以及魔鬼-肿瘤对的广泛组织采样,将使(共同)进化的分子特征的可靠测试成为可能。基因组扫描和进化一致性分析将用于测试魔鬼和肿瘤中适应性表型特征的基因组结构在时间上(即在疾病出现的不同阶段)和空间上(即在不同人群中)是否可重复。如果一致,则将测试潜在的机制(例如,软选择扫描,硬扫描或基因流)。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
Emerging infectious diseases (EIDs) are a leading global challenge in the 21st century. In addition to their great concern for human health, EIDs are now a leading cause of biodiversity declines. A well-known example is a lethal, transmissible cancer that threatens Tasmanian devils with extinction. Typical of infectious diseases, the host evolves to resist the pathogen. In turn, the pathogen is pressured to evolve to overcome new host defenses. Indeed, long-term data show that devils and their tumors are evolving in response to one another, but the genetic pathways by which they respond remain poorly described. The goal of this research is to determine whether the genetic pathways underlying adaptive changes in devils, such as increased survival once infected, are similar or different among devil populations infected for different lengths of time. Similarly, the tumor has adapted, and tests of repeatability of tumor genetic evolution in time and space will also be conducted. The implications of this work are far reaching. If, for example, genetic pathways are similar among populations, then conservation and treatment options can be generalized. Conversely, if genetic pathways are different, treatment options may need to be tailored, with different treatments for different populations. Regardless, the work will lead to improved conservation and management of the iconic Tasmanian devil. Additionally, the Tasmanian devil cancer evolves quite similarly to human cancer, providing a unique opportunity to track tumor evolution in a natural population.One of the biggest challenges in the life sciences today is unraveling the genotype-phenotype relationship. Rapid global change necessitates assessments of species’ capacity to adapt and whether adaptive evolution is repeatable to guide appropriate management strategies. Owing to the polygenic nature of most phenotypic traits, this is a formidable task. However, virulent EIDs can levy intense selection pressure on multiple host populations as they spread, offering a way to test patterns of repeatability in host-pathogen evolution. Tasmanian devils and their lethal transmissible cancer are a model system for such tests. The east-to-west progression of disease emergence across Tasmania has created a natural experiment. Different devil populations have been infected for different numbers of generations and are at different evolutionary stages of disease progression. Thousands of phenotypic measurements of diseased and healthy devils, along with extensive tissue sampling of devil-tumor pairs, will enable robust tests of molecular signatures of (co)evolution. Genome scans and evolutionary concordance analyses will be used test whether the genomic architecture underlying adaptive phenotypic traits in devils and tumors are repeatable in time (i.e., across different stages of disease emergence) and space (i.e., across different populations). If concordant, the underlying mechanism (e.g., soft selective sweeps, hard sweeps or gene flow) will be tested.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.
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BEE: Eco-evolutionary dynamics of disease-induced apex predator declines
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批准号:2027446
-
项目类别:Standard Grant
-
资助金额:$150.0万
-
财政年份:2020
-
负责人:Andrew Storfer
-
依托单位:
DISSERTATION RESEARCH: Evolutionary Genomics of Range Limits in an Endemic Salamander
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批准号:1501281
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项目类别:Standard Grant
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资助金额:$1.96万
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财政年份:2015
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负责人:Andrew Storfer
-
依托单位:
DISSERTATION RESEARCH: An empirical test of species range limit evolution using the world's largest amphibian invasion
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批准号:1407335
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项目类别:Standard Grant
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资助金额:$1.96万
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财政年份:2014
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负责人:Andrew Storfer
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依托单位:
Emergence, transmission and evolution of Tasmanian devil facial tumor disease
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批准号:1316549
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项目类别:Continuing Grant
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资助金额:$225.0万
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财政年份:2013
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负责人:Andrew Storfer
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依托单位:
Coevolution and Local Adaptation in a Salamander-Virus System
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批准号:0548415
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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:2006
-
负责人:Andrew Storfer
-
依托单位:
DISSERTATION RESEARCH: Limits to Species' Distributions: A Landscape Genetic Study of Two Amphibian Species in Yellowstone National Park
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批准号:0608458
-
项目类别:Standard Grant
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资助金额:$1.2万
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财政年份:2006
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负责人:Andrew Storfer
-
依托单位:
国内基金
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