SG: Parasitism as a selective pressure on seasonal migration
SG: Parasitism as a selective pressure on seasonal migration
批准号:
1654609
负责人:
Allison Shaw
金额:
$14.92万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2023-06-30
中文摘要
虽然帝王蝶和座头鲸看起来并不相似,但它们有一个重要的共同点:每年,它们都会进行跨越数千英里的季节性迁徙。他们并不孤单。短距离和长距离的迁徙是一种普遍的动物行为。为什么这么多物种要冒着迁徙的危险和不确定性的风险,这是一个谜。有许多理论可以帮助理解这种看似昂贵的行为是如何进化的。为了评估这些,有必要考虑小,即寄生虫和病原体所起的作用。通过结合动物运动和传染病生态学的知识,研究人员将开发数学模型来研究迁徙的演变。这一研究不仅有助于加深我们对寄主运动和寄生虫的理解,而且将广泛地推进迁移理论。充分了解哪些因素推动移徙对于预测移徙模式在未来将如何继续适应性变化至关重要。该项目将解决一系列具有社会和经济利益的问题,如疾病在迁徙野生动物和牲畜之间的传播。这也将有助于我们理解人类旅行的增加对突发疾病的影响。研究人员将通过明尼苏达大学的教学模块吸引本科生。此外,它们将为独立研究项目提供机会。研究结果将在贝尔自然历史博物馆向公众公布。尽管越来越多的兴趣在宿主迁移如何与病原体和寄生虫感染相互作用,有没有严格的框架来组织,解释和预测这些相互作用。宿主的移动可以增加或减少宿主对寄生虫的暴露,语言模型产生了相互矛盾的预测。缺乏对每种结果可能发生的时间的了解,是我们预测迁移和宿主-寄生虫动态的环境条件变化的潜在后果的能力的一个严重障碍。这项研究是克服这一障碍的第一步。它将使用概念验证数学模型来严格测试特定假设与宿主移动和寄生虫预测之间的联系。这项工作的目标是开发广泛适用于整个系统的模型,但尚未考虑。分析模型将用于测试(a)寄生虫传播模式(直接宿主到宿主接触与间接通过环境),(B)感染成本类型(生存或繁殖力),以及(c)寄生虫传播的空间/时间方面如何影响进化稳定策略。该项目将寻找促进迁移行为进化的参数空间。结果将突出参数空间的某些区域,值得进一步探索。这将建议在哪些领域,更详细的模型,参数化到一个特定的研究系统,将特别有用。研究结果还将提供一套理论假设,可以使用现有的数据集进行测试。
英文摘要
Although monarch butterflies and humpback whales do not look alike, they have one important thing in common: every year, they embark on a seasonal migration that spans thousands of miles. They are not alone. Migration over short and long distances is a widespread animal behavior. Just why so many species risk the perils and uncertainties of migration is a puzzle. Many theories exist to help understand how this seemingly costly behavior evolved. To evaluate these, it is necessary to think small, namely, at the role played by parasites and pathogens. By combining knowledge from animal movement and infectious disease ecology, the researchers will develop mathematical models to study the evolution of migration. This research will not only improve our understanding of host movement and parasites, but will also advance migration theory broadly. Fully understanding what factors drive migration is crucial for predicting how migratory patterns will continue to adaptively change in the future. This project will address a broad range of problems of social and economic interest such as disease spread between migrating wildlife and livestock. It also will help our understanding of the influence of increasing human travel on emergent diseases. The researchers will engage undergraduate students through teaching modules at the University of Minnesota. In addition, they will provide opportunities for independent research projects. The research findings will be communicated to the public at the Bell Museum of Natural History. Despite growing interest in how host migration interacts with infection by pathogens and parasites, there is no rigorous framework to organize, interpret, and predict these interactions. Host movement can either increase or decrease host exposure to parasites and verbal models have generated conflicting predictions. The lack of understanding of when each outcome is likely to occur represents a serious roadblock in our ability to anticipate potential consequences of shifting environmental conditions for both migration and host-parasite dynamics. This research is the first step in overcoming this obstacle. It will use proof-of-concept mathematical models to rigorously test the links between specific assumptions and resulting predictions regarding host movement and parasites. The goal of the work is to develop models that are broadly applicable across systems, but have not yet been considered. Analytical models will be used to test how (a) parasite transmission mode (direct host-to-host-contact versus indirectly through the environment), (b) type of infection cost (survival or fecundity), and (c) spatial/temporal aspects of parasite transmission influence Evolutionarily Stable Strategies. The project will search for the parameter space that promotes evolution of migratory behaviors. The results will highlight certain regions of parameter space as deserving further exploration. This will suggest areas in which more detailed models, parameterized to a specific study system, will be especially useful. The results will also provide a set of theoretical hypotheses that can be tested using already available datasets.
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Metrics matter: the effect of parasite richness, intensity and prevalence on the evolution of host migration
指标很重要:寄生虫丰富度、强度和流行率对宿主迁徙进化的影响
DOI:
10.1098/rspb.2018.2147
发表时间:
2018
期刊:
Proceedings of the Royal Society B: Biological Sciences
影响因子:
--
作者:
[Shaw, Allison K., Sherman, Julie, Barker, F. Keith, Zuk, Marlene]
通讯作者:
Zuk, Marlene
A mechanistic, stigmergy model of territory formation in solitary animals: Territorial behavior can dampen disease prevalence but increase persistence
独居动物领地形成的机械性耻辱模型:领地行为可以抑制疾病的流行,但会增加疾病的持久性
DOI:
10.1371/journal.pcbi.1007457
发表时间:
2020
期刊:
PLOS Computational Biology
影响因子:
4.3
作者:
[White, Lauren A., VandeWoude, Sue, Craft, Meggan E.]
通讯作者:
Craft, Meggan E.
DOI:
10.1186/s40462-020-0197-x
发表时间:
2020
期刊:
Movement Ecology
影响因子:
4.1
作者:
[Shaw, Allison K.]
通讯作者:
Shaw, Allison K.
Paradoxes and synergies: Optimizing management of a deadly virus in an endangered carnivore
悖论与协同作用:优化对濒临灭绝的食肉动物致命病毒的管理
DOI:
10.1111/1365-2664.14165
发表时间:
2022
期刊:
Journal of Applied Ecology
影响因子:
5.7
作者:
[Gilbertson, Marie L., Onorato, Dave, Cunningham, Mark, VandeWoude, Sue, Craft, Meggan E.]
通讯作者:
Craft, Meggan E.
Recovery from infection is more likely to favour the evolution of migration than social escape from infection
从感染中恢复比社会逃避感染更可能有利于移民的演变
DOI:
10.1111/1365-2656.13195
发表时间:
2020
期刊:
Journal of Animal Ecology
影响因子:
4.8
作者:
[Shaw, Allison K., Binning, Sandra A., Hoye, ed., Bethany]
通讯作者:
Hoye, ed., Bethany
共 15 条
SG: The ecological and evolutionary consequences of mutualisms for species range expansion
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批准号:2109965
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项目类别:Standard Grant
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资助金额:$19.96万
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财政年份:2021
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负责人:Allison Shaw
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依托单位:
BEE: SG: How host migratory behavior shapes the evolution of parasite virulence
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批准号:1947406
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项目类别:Standard Grant
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资助金额:$20.76万
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财政年份:2020
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负责人:Allison Shaw
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依托单位:
Vector Movement and Disease Risk: When Do We Need to Explicitly Account for Vector Behavior and Spatial Patterns in disease models?
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批准号:1556674
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项目类别:Standard Grant
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资助金额:$44.3万
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财政年份:2016
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负责人:Allison Shaw
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依托单位:
IRFP: Eco-Evolutionary Dynamics of Allee Effects and their Mitigating Adaptations
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批准号:1159097
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项目类别:Fellowship Award
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资助金额:$13.13万
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财政年份:2012
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负责人:Allison Shaw
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依托单位:
海外基金