RII Track-1: Molecule to Ecosystem: Environmental DNA as a Nexus of Coastal Ecosystem Sustainability for Maine (Maine-eDNA)

RII Track-1：分子到生态系统：环境 DNA 作为缅因州沿海生态系统可持续性的纽带 (Maine-eDNA)

• 批准号: 1849227
• 负责人: Khodadad Varahramyan
• 金额: $ 2000万
• 依托单位: University of Maine
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1849227&HistoricalAwards=false
• 关键词: RII; Track; Molecule; Ecosystem; Environmental

This project, known as Maine-eDNA, aims to achieve transformational understanding of ecosystem dynamics and sustainability in coastal regions through the application of advanced genomic analysis techniques on environmental samples. This approach, termed environmental DNA (eDNA) analysis, potentially allows for all species present in an ecosystem to be detected in parallel. Coastal ecosystems exhibit complex spatial and temporal variability, and therefore it has typically been necessary to commit significant time and resources to characterize even small features of the overall system. The vision of Maine-eDNA is to show how the eDNA approach can transform how aquatic ecosystems are studied and managed. The project focuses its efforts across three watersheds along the Maine coast - Casco Bay, Damariscotta, and Penobscot River - and across the major habitat types (lake, river, estuary, coastal) within each watershed. Maine-eDNA's research will explore questions related to sustainable fisheries and harmful species, along with integrative studies that explore the transformational potential of big data and team science practices. The project's research activities will be integrated with an ambitious agenda to engage teachers, students, and environmental professionals across the state with targeted activities that will lead to a better-trained, more diverse STEM workforce. Maine-eDNA brings together several of the state's public and private academic institutions and independent research laboratories to focus on a shared goal of applying eDNA approaches to understand coastal ecosystem dynamics across spatial and temporal scales. eDNA holds the promise of overcoming fundamental environmental sampling constraints by leveraging state-of-the-art molecular next-generation sequencing and bioinformatics technologies. The project's research will involve a multi-year sampling campaign across several habitat types in three major Maine watersheds, augmented by targeted sampling and analyses to support project objectives. eDNA approaches will be applied to coastal ecological problems of strong economic and societal relevance for the state, addressing research questions relating to sustainable fisheries (i.e., ecosystem-based restoration and early-life ecology) and harmful species (i.e., harmful algal and cyanobacterial blooms and invasive species). Additional Maine-eDNA research efforts will study how applying big data and team science approaches can lead to more rapid advances in understanding complex systems. To broaden the impact of its research agenda, Maine-eDNA's efforts will also include extensive education and outreach activities that will emphasize connections with the state's Native American and rural populations, as well as development opportunities for teachers and environmental professionals. The project will also build new partnerships and strengthen existing ties with Maine's resource managers and fishing industries. Maine-eDNA promises to have a strong beneficial impact on the research capacity of the participating institutions and on the state overall.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.

该项目被称为Maine-eDNA，旨在通过对环境样本应用先进的基因组分析技术，实现对沿海地区生态系统动态和可持续性的变革性理解。 这种方法被称为环境DNA（eDNA）分析，可能允许并行检测生态系统中存在的所有物种。 沿海生态系统具有复杂的时空变异性，因此，通常需要投入大量时间和资源来确定整个系统的特征，即使是很小的特征。缅因州eDNA的愿景是展示eDNA方法如何改变水生生态系统的研究和管理方式。该项目的工作重点是缅因州海岸沿着的三个流域-卡斯科湾、达莫科塔和佩诺布斯科特河-以及每个流域内的主要生境类型（湖泊、河流、河口、沿海）。 Maine-eDNA的研究将探索与可持续渔业和有害物种有关的问题，沿着探索大数据和团队科学实践的转型潜力的综合研究。该项目的研究活动将与一个雄心勃勃的议程相结合，使全州的教师、学生和环境专业人员参与有针对性的活动，从而培养出一支训练有素、更加多样化的STEM劳动力队伍。Maine-eDNA汇集了该州的几个公共和私人学术机构和独立的研究实验室，专注于应用eDNA方法来了解跨空间和时间尺度的沿海生态系统动态的共同目标。 eDNA有望通过利用最先进的下一代分子测序和生物信息学技术，克服基本的环境采样限制。 该项目的研究将涉及在缅因州三个主要流域的几种生境类型中进行多年取样活动，并通过有针对性的取样和分析来支持项目目标。 eDNA方法将应用于对国家具有强烈经济和社会相关性的沿海生态问题，解决与可持续渔业有关的研究问题（即，基于生态系统的恢复和早期生命生态学）和有害物种（即，有害藻类和蓝藻水华以及入侵物种）。 其他Maine-eDNA研究工作将研究如何应用大数据和团队科学方法，从而在理解复杂系统方面取得更快的进展。 为了扩大其研究议程的影响，缅因州eDNA的努力还将包括广泛的教育和宣传活动，将强调与该州的美洲原住民和农村人口的联系，以及教师和环境专业人员的发展机会。 该项目还将建立新的伙伴关系，加强与缅因州资源管理人员和渔业的现有联系。 Maine-eDNA承诺对参与机构的研究能力和整个国家产生强大的有益影响。该奖项反映了NSF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。

项目成果

Communicating Care in Coastal Fisheries: Restoration, Adaptation, and Collaborative Policy Change

沿海渔业的交流关怀：恢复、适应和合作政策变化

• 发表时间: 2024
• 期刊: Maine Policy Review
• 作者: McGreavy, Bridie;Gabrielle V. Hillyer;Jessica G. Joyce;Emily Farr;B Lauer;Anthony Sutton;Katie Moody;Jessica P. Batchelder;Ishani Jayamaha;Marissa McMahan Ph.D.
• 通讯作者: Marissa McMahan Ph.D.

Localism “Reimagined”: Building a Robust Localist Paradigm for Overcoming Emerging Conservation Challenges

地方主义“重新构想”：建立强大的地方主义范式以克服新出现的保护挑战

• DOI: 10.1007/s00267-020-01392-4
• 发表时间: 2021
• 期刊: Environmental Management
• 影响因子: 3.5
• 作者: Jansujwicz, Jessica Spelke;Calhoun, Aram J.;Bieluch, Karen Hutchins;McGreavy, Bridie;Silka, Linda;Sponarski, Carly
• 通讯作者: Sponarski, Carly

Recent warming reduces the reproductive advantage of large size and contributes to evolutionary downsizing in nature

• DOI: 10.1098/rspb.2020.0608
• 发表时间: 2020-06-10
• 期刊: PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
• 影响因子: 4.7
• 作者: Fryxell, David C.;Hoover, Alexander N.;Palkovacs, Eric P.
• 通讯作者: Palkovacs, Eric P.

Rise of the rare biosphere

• DOI: 10.1525/elementa.2020.00056
• 发表时间: 2021-01
• 作者: N. Record;P. Countway;Kohl Kanwit;J. Fernández-Robledo

Prey adaptation along a competition-defense tradeoff cryptically shifts trophic cascades from density- to trait-mediated

沿着竞争-防御权衡的猎物适应神秘地将营养级联从密度介导转变为性状介导

• DOI: 10.1007/s00442-020-04610-2
• 发表时间: 2020
• 期刊: Oecologia
• 影响因子: 2.7
• 作者: Wood, Zachary T.;Fryxell, David C.;Moffett, Emma R.;Kinnison, Michael T.;Simon, Kevin S.;Palkovacs, Eric P.
• 通讯作者: Palkovacs, Eric P.