Using microbiomes as microsensors to forecast toxic algae blooms

使用微生物组作为微传感器来预测有毒藻类的繁殖

• 批准号: 10619616
• 负责人: Brook Leanne Nunn
• 金额: $ 15.62万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-10 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10619616
• 关键词: Address; Agonist; Agreement; Algae; Algal Blooms; Archives; Behavior; Biological; Biological Assay; Biological Markers; Biological Models; Cells; Cessation of life; Chemicals; Chemistry; Circadian Rhythms; Collection; Communities; Cues; Cytolysis; Data; Data Set; Dermatitis; Development; Diatoms; Docking; Early Diagnosis; Ecosystem; Environment; Etiology; Exhibits; Exposure to; Filtration; Glutamate Receptor; Goals; Grant; Health; Health Care Costs; Hour; Human; In Situ; Ingestion; Knowledge; Letters; Light; Link; Location; Mass Spectrum Analysis; Metabolic; Metabolism; Methods; Modeling; Molecular; Molecular Profiling; Monitor; Municipalities; Oceans; Outcome; Paralysed; Pattern; Peptides; Periodicity; Phase; Plague; Poison; Population; Privatization; Process; Production; Property; Proteins; Public Health; Reaction; Resolution; Respiratory Signs and Symptoms; Sampling; Series; Signal Transduction; Site; Surveys; System; Technology; Testing; Time; Toxic effect; Toxin; Translating; Validation; Water; Work; World Health; assay development; biomarker development; biomarker identification; chemical stability; circadian; design; detection assay; detection platform; domoic acid; economic impact; exposed human population; food preparation; harmful algal blooms; innovation; insight; marine; metabolomics; metaproteomics; microbial community; microbiome; microsensor; molecular marker; molecular phenotype; novel; novel marker; prevent; rapid test; remediation; response; sample collection; success; temporal measurement; time use; tool; toxic algae; toxic bloom; tribal leader; water quality; water treatment; waterborne

Project Summary Harmful algal blooms (HABs) are becoming one of the greatest coastal and inland water quality threats to public health. They last longer, occur more frequently and produce a wider range of toxic chemicals that negatively impact human health than in past decades, yet we cannot forecast when an algal population will bloom or produce toxins. As avoidance is the only public health strategy, there is a critical need to 1) develop early warning detection systems to inform the public before (>24 hours) a harmful algae bloom, and 2) identify chemical or physical cues in the water column that forecast HAB initiation for eventual biomarker development. Co-occurring marine microbial communities (i.e., the microbiome) respond to light-driven circadian rhythms of local photosynthetic algal populations and changes in water chemistry. This results in a detectable shift in the microbiome’s expressed functions (i.e., molecular phenotype) that correlate to algal behavior and chemical perturbations. We hypothesize that the time-dependent, molecular phenotype of the microbiome responds to environmental perturbations that precede a toxic algal bloom, providing early detection of HAB formation. The overall objective for this project is to track a) peptides expressed by the microbiome, and b) waterborne metabolites associated with changing water chemistry in Eastsound, WA, the only known location that has predictably timed HABs twice every year. No other HABs can currently be spatially or temporally predicted even within a 1 to 2-week window. To capture the microbiome’s molecular signature of pre-bloom conditions, we will conduct two field collections in year 1 timed to precede bloom initiation. For the next year only, we have been granted 24hr access to a private dock in Eastsound, enabling the first-ever pre-bloom sample collection to understand HAB formation. Our established high-resolution environmental samplers will collect the microbiome and surrounding water every 4 hrs. Since cells tightly regulate protein abundance, changes in protein levels associated with circadian patterns can be systematically quantified using novel mass spectrometry-based peptide analyses. We will assess >20,000 peptides and test for rhythmicity and the loss thereof, revealing critical timepoints that precede HAB formation and indicate a significant change in the local water or physical conditions. Using the timing knowledge gained, we will then quantify metabolites in those, and adjacent, archived timepoints using untargeted mass spectrometric metabolomics, connecting modulations in peptide rhythmicity directly to microbiome metabolism and their chemical cues. The major outcome of the proposed work will be the identification of peptide and metabolite biomarkers that precede HAB formation and a fundamental understanding of chemical controls on bloom formation and toxin production. Our long-term goal is to develop a rapid molecular assay that detects the identified changes in 1) the functionality of the water microbiome and/or 2) crucial waterborne metabolites in advance of harmful algal bloom formation, in order to prevent human exposure to bloom toxins, thereby protecting human health.

项目摘要 有害藻华（HABs）正在成为沿海和内陆水质的最大威胁之一， 公共卫生它们持续时间更长，发生频率更高，产生的有毒化学物质范围更广， 对人类健康的负面影响比过去几十年更大，但我们无法预测藻类种群何时会 开花或产生毒素。由于避免是唯一的公共卫生策略，因此迫切需要1）制定 预警检测系统，在有害藻类大量繁殖之前（>24小时）通知公众，以及2）识别 水柱中的化学或物理线索，预测HAB的启动，最终生物标志物的发展。 共生海洋微生物群落（即，微生物组）响应光驱动昼夜节律 当地光合藻类种群和水化学的变化。这导致了一个可检测的变化， 微生物组表达的功能（即，分子表型），与藻类行为和化学 扰动我们假设微生物组的时间依赖性分子表型响应于 在有毒藻华出现之前的环境扰动，提供有害藻华形成的早期检测。 该项目的总体目标是跟踪a）微生物组表达的肽，和B）水溶性肽。 与华盛顿州伊斯特桑德水化学变化有关的代谢物，这是唯一已知的 每年两次定时的赤潮目前还没有其他的赤潮可以在空间上或时间上预测 即使是在一两周内为了捕捉微生物群在开花前的分子特征， 我们将在第一年进行两次野外采集，时间安排在开花开始之前。在接下来的一年里， 获准24小时进入伊斯特桑德的一个私人码头，从而实现了有史以来第一次开花前的样本收集 了解赤潮的形成我们现有的高分辨率环境采样器将收集 微生物组和周围的水每4小时。由于细胞严格调节蛋白质丰度， 与昼夜节律模式相关的蛋白质水平可以使用新的质量 基于光谱法的肽分析。我们将评估> 20，000种肽并测试节律性和损失 其中，揭示了在HAB形成之前的关键时间点，并表明当地的显著变化， 水或物理条件。利用所获得的时间知识，我们将量化这些物质中的代谢物， 和相邻的，存档的时间点，使用非靶向质谱代谢组学， 肽节律直接影响微生物组代谢及其化学信号。的主要成果 拟议的工作将是识别有害赤潮形成之前的肽和代谢物生物标志物， 对水华形成和毒素产生的化学控制有基本的了解。我们的长期目标 是开发一种快速的分子检测方法，检测1）水的功能性 微生物组和/或2）有害藻华形成之前的关键水生代谢物， 防止人类接触水华毒素，从而保护人类健康。