A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities

预测海洋底栖群落传染性多宿主疾病传播的多尺度方法

基本信息

  • 批准号:
    2109622
  • 负责人:
  • 金额:
    $ 249.99万
  • 依托单位:
  • 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:
    2021-08-01 至 2026-07-31
  • 项目状态:
    未结题

项目摘要

Marine diseases have devastating impacts on ocean ecosystems and this work will directly examine the framework for understanding disease transmission in the ocean. A team of ecologists, ocean connectivity and disease modelers, microbiologists, and coral immunologists (from the University of Virgin Islands (UVI), Louisiana State University (LSU), Rice University, University of Texas-Arlington and the Woods Hole Oceanographic Institution) will develop a model that predicts transmission of a devastating Caribbean coral disease that has the potential to impact the economic value of coral reefs, including those located in the U.S. This project will support multidisciplinary field and laboratory research experiences of graduate students at multiple minority-serving institutions, and will provide undergraduate students with hands-on training in modeling, ecological and molecular analysis techniques. UVI and LSU are in EPSCoR jurisdictions and have diverse student bodies, including numerous under-represented minority (URM) students. The research team will collaboratively provide URM students with research experiences in STEM fields. Project findings will be broadly communicated through virtual public programming, and through the Virgin Islands Coral Disease Advisory Committee with updates on the vicoraldisease.org website. A coral disease response workshop for the U.S. Virgin Islands will also be held, in which project results will be presented and used to support disease response planning.Over the last four decades, marine diseases have decimated ecosystem engineers in marine coastal ecosystems, including the rocky intertidal, seagrasses and coral reefs. The pathogens driving these diseases have frequently been challenging to isolate, characterize and confirm, in part because they affect multiple host species and can spread by ocean currents, as well as through individual contact. Here, we propose a multi-scale epidemic model for studying marine disease that addresses both within-host and within-patch disease dynamics, and explicitly acknowledges the dispersal of pathogens between populations. Our interdisciplinary research team of ecologists, connectivity and disease modelers, microbiologists, and coral immunologists will integrate the largest set of predictors of marine disease spread to date: individual host species traits that allow for disease resistance or susceptibility, local transmission within communities that may have unique community structure, and hydrodynamic connectivity among susceptible communities. Modeling will be supported with rich data sets of within- and among-patch population characteristics and disease dynamics as well as molecular data on species-level disease responses. This project will advance knowledge of infectious diseases by integrating multidimensional scales and differential host susceptibilities into existing epidemiological models. This model will particularly advance the framework for studying marine diseases and has the potential to elucidate the transmission properties of a devastating Caribbean coral disease (stony coral tissue loss disease) that fits the most confounding and notorious hallmarks of marine diseases: infection of multiple hosts by an elusive pathogen.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.
海洋疾病对海洋生态系统具有毁灭性影响,这项工作将直接研究了解海洋疾病传播的框架。由生态学家、海洋连通性和疾病建模师、微生物学家和珊瑚免疫学家(来自维尔京群岛大学 (UVI)、路易斯安那州立大学 (LSU)、莱斯大学、德克萨斯大学阿灵顿分校和伍兹霍尔海洋研究所)组成的团队将开发一个模型,预测毁灭性的加勒比珊瑚病的传播,该疾病有可能影响珊瑚礁的经济价值,包括位于美国的珊瑚礁。该项目将支持研究生的多学科领域和实验室研究经验多个少数族裔服务机构,将为本科生提供建模、生态和分子分析技术方面的实践培训。 UVI 和 LSU 位于 EPSCoR 管辖范围内,拥有多元化的学生团体,其中包括众多代表性不足的少数族裔 (URM) 学生。研究团队将共同为URM的学生提供STEM领域的研究经验。项目结果将通过虚拟公共节目以及维尔京群岛珊瑚病咨询委员会广泛传播,并在 vicoraldisease.org 网站上更新。还将为美属维尔京群岛举办珊瑚疾病应对研讨会,会上将介绍项目结果并用于支持疾病应对规划。在过去四十年中,海洋疾病已导致海洋沿海生态系统(包括岩石礁)的生态系统工程师大量死亡。潮间带、海草和珊瑚礁。导致这些疾病的病原体常常难以分离、表征和确认,部分原因是它们影响多种宿主物种,并且可以通过洋流以及个体接触传播。在这里,我们提出了一个用于研究海洋疾病的多尺度流行病模型,该模型解决了宿主内和斑块内的疾病动态,并明确承认了病原体在种群之间的传播。我们的跨学科研究团队由生态学家、连通性和疾病建模师、微生物学家和珊瑚免疫学家组成,将整合迄今为止最大的一组海洋疾病传播预测因素:允许疾病抵抗力或易感性的个体宿主物种特征、可能存在疾病的社区内的局部传播独特的群落结构以及易受影响群落之间的水动力连通性。模型将得到斑块内和斑块间种群特征和疾病动态的丰富数据集以及物种水平疾病反应的分子数据的支持。该项目将通过将多维尺度和不同的宿主易感性整合到现有的流行病学模型中来增进对传染病的了解。该模型将特别推进研究海洋疾病的框架,并有可能阐明毁灭性的加勒比珊瑚病(石珊瑚组织损失病)的传播特性,该疾病符合海洋疾病最令人困惑和臭名昭著的特征:通过该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值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(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Stony coral tissue loss disease induces transcriptional signatures of in situ degradation of dysfunctional Symbiodiniaceae
石珊瑚组织损失病诱导功能失调的共生科原位降解的转录特征
  • DOI:
    10.1038/s41467-023-38612-4
  • 发表时间:
    2023-05
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Beavers, Kelsey M.;Van Buren, Emily W.;Rossin, Ashley M.;Emery, Madison A.;Veglia, Alex J.;Karrick, Carly E.;MacKnight, Nicholas J.;Dimos, Bradford A.;Meiling, Sonora S.;Smith, Tyler B.;et al
  • 通讯作者:
    et al
Coral disease outbreak at the remote Flower Garden Banks, Gulf of Mexico
墨西哥湾偏远花园岸爆发珊瑚病
  • DOI:
    10.3389/fmars.2023.1111749
  • 发表时间:
    2023-01
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Johnston, Michelle A.;Studivan, Michael S.;Enochs, Ian C.;Correa, Adrienne M.;Besemer, Nicole;Eckert, Ryan J.;Edwards, Kimberly;Hannum, Ryan;Hu, Xinping;Nuttall, Marissa;et al
  • 通讯作者:
    et al
Thank you for biting: dispersal of beneficial microbiota through 'antagonistic' interactions
感谢您的叮咬:通过“拮抗”相互作用传播有益微生物群
  • DOI:
    10.1016/j.tim.2022.03.006
  • 发表时间:
    2022-04
  • 期刊:
  • 影响因子:
    15.9
  • 作者:
    Grupstra, C.G.B.;Lemoine, N.P.;Cook, C.;Correa, A.M.S.
  • 通讯作者:
    Correa, A.M.S.
Visualization of RNA virus infection in a marine protist with a universal biomarker
具有通用生物标志物的海洋原生生物中 RNA 病毒感染的可视化
  • DOI:
    10.1038/s41598-023-31507-w
  • 发表时间:
    2023-04-10
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Coy, Samantha R.;Utama, Budi;Spurlin, James W.;Kim, Julia G.;Deshmukh, Harshavardhan;Lwigale, Peter;Nagasaki, Keizo;Correa, Adrienne M. S.
  • 通讯作者:
    Correa, Adrienne M. S.
Rates of Future Climate Change in the Gulf of Mexico and the Caribbean Sea: Implications for Coral Reef Ecosystems
墨西哥湾和加勒比海未来气候变化的速度:对珊瑚礁生态系统的影响
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Marilyn Brandt其他文献

Differential reactivity of cardiac and skeletal muscle from various species in two generations of cardiac troponin-T immunoassays.
两代心肌肌钙蛋白-T 免疫测定中不同物种的心肌和骨骼肌的差异反应性。
  • DOI:
  • 发表时间:
    1998
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Peter J. O'Brien;Gregory W. Dameron;Mary Lee Beck;Marilyn Brandt
  • 通讯作者:
    Marilyn Brandt

Marilyn Brandt的其他文献

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{{ truncateString('Marilyn Brandt', 18)}}的其他基金

Collaborative Research: RAPID: A multi-scale approach to predicting coral disease spread: leveraging an outbreak on coral-dense isolated reefs
合作研究:RAPID:预测珊瑚疾病传播的多尺度方法:利用珊瑚密集的孤立礁石的爆发
  • 批准号:
    2316579
  • 财政年份:
    2023
  • 资助金额:
    $ 249.99万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits
RAPID:合作研究:利用物种免疫特征预测多物种珊瑚疾病的传播
  • 批准号:
    1928753
  • 财政年份:
    2019
  • 资助金额:
    $ 249.99万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Sponge resilience in the face of multiple stressors
RAPID:协作研究:海绵在面对多重压力时的弹性
  • 批准号:
    1810616
  • 财政年份:
    2017
  • 资助金额:
    $ 249.99万
  • 项目类别:
    Standard Grant
Immunity to Community: Can Quantifying Immune Traits Inform Reef Community Structure?
群落免疫:量化免疫特征能否为珊瑚礁群落结构提供信息?
  • 批准号:
    1712540
  • 财政年份:
    2017
  • 资助金额:
    $ 249.99万
  • 项目类别:
    Standard Grant

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Collaborative Research: RAPID: A multi-scale approach to predicting coral disease spread: leveraging an outbreak on coral-dense isolated reefs
合作研究:RAPID:预测珊瑚疾病传播的多尺度方法:利用珊瑚密集的孤立礁石的爆发
  • 批准号:
    2316579
  • 财政年份:
    2023
  • 资助金额:
    $ 249.99万
  • 项目类别:
    Standard Grant
DMS/NIGMS 1: Multiscale modeling of Notch signaling during long-range lateral inhibition
DMS/NIGMS 1:长程侧向抑制期间 Notch 信号传导的多尺度建模
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Extending experimental evolutionary game theory in cancer in vivo to enable clinical translation: integrating spatio-temporal dynamics using mathematical modeling
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