CAREER: Developing a Spatial-Temporal Predictive Framework for the Drinking Water Microbiome.

职业：开发饮用水微生物组的时空预测框架。

• 批准号: 1749530
• 负责人: Ameet Pinto
• 金额: $ 50.41万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-01 至 2022-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1749530&HistoricalAwards=false
• 关键词: CAREER; Developing; Spatial; Temporal; Predictive

Every gallon of drinking water contains millions of microbes that are referred to as the drinking water microbiome. Water utilities perform extensive monitoring in the water distribution system to ensure that the drinking water microbiome remains safe as it travels from the water treatment plant to the household tap. Although these monitoring practices are designed for early detection of microbial contamination, any attempt to fix a problem identified by monitoring will be inherently reactionary. This project seeks to revolutionize the current United States drinking water monitoring system of "detect and mitigate" towards a proactive one of "predict and correct". This project aims to develop a computer model that will allow water utilities to predict future microbial contamination events across the water distribution system, thus providing an opportunity to prevent contamination events before they occur. Integrated with the research activities will be an education program that includes training of K-12, undergraduate, and graduate students in state-of-the-art microbiome characterization and interpretation to attract them to STEM careers. The goal of this education program will be to prepare future water scientists and engineers with expertise in microbiome research and practice.The career development plan will advance the safety and health of drinking water by integrating experimental and computational microbial ecology into drinking water microbiome research and by leveraging this research through education and outreach to engage a diverse student body in microbiome research and practice. The research goals of this project are (1) to establish a long-term observatory to monitor high-resolution drinking water microbiome dynamics in Boston?s water distribution system, (2) to develop a novel framework to apply econometric and ecological models to these dynamics, and (3) to systematically integrate the two modeling approaches for comprehensive spatial-temporal forecasting of the abundance and composition of the drinking water microbiome. The research plan combines state-of-the-art integrated analyses and novel modeling approaches to develop a quantitative predictive framework for the drinking water microbiome. This predictive framework will (1) help water utilities preemptively estimate and eliminate future drinking water microbial risks, and (2) serve as foundational knowledge for model-informed quantitative management of the drinking water microbiome. This research is integrated with an education and outreach plan designed to (1) attract and train undergraduate and graduate students in microbiome research and practice, using pedagogical approaches designed to enhance participation of students from underrepresented minority groups in STEM research, and (2) raise public awareness of the drinking-water microbiome through K-12 initiatives. The objectives will be accomplished by developing innovative microbiome-focused curricula in environmental engineering using a Course-based Undergraduate Research Experiences (CUREs) approach in collaboration with Wentworth Institute of Technology and Wellesley College and a K-12 learning activity for Boston area students through the Center for STEM Education at Northeastern University. The project will advance the shared aspirational vision of the drinking water research community and the microbiome-centric drinking water quality management community.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.

每加仑饮用水含有数百万种微生物，称为饮用水微生物组。自来水公司在配水系统中进行广泛的监测，以确保饮用水微生物组在从水处理厂到家庭水龙头的过程中保持安全。尽管这些监测实践旨在早期检测微生物污染，但任何试图解决监测发现的问题的尝试都将是固有的反动。该项目旨在彻底改变目前美国饮用水监测系统的“检测和缓解”，走向积极的“预测和纠正”。 该项目旨在开发一个计算机模型，使供水公司能够预测整个供水系统未来的微生物污染事件，从而提供一个机会，以防止污染事件发生之前。与研究活动相结合的将是一个教育计划，包括培训K-12，本科生和研究生最先进的微生物组表征和解释，以吸引他们从事STEM职业。该教育计划的目标是培养未来的水科学家和工程师在微生物组研究和实践方面的专业知识。职业发展计划将通过将实验和计算微生物生态学整合到饮用水微生物组研究中，并通过教育和推广利用这项研究，使多样化的学生群体参与微生物组研究和实践，从而促进饮用水的安全和健康。该项目的研究目标是（1）建立一个长期观测站，以监测波士顿高分辨率的饮用水微生物组动态？的配水系统，（2）开发一个新的框架，应用计量经济学和生态学模型，这些动态，（3）系统地整合这两种建模方法，全面的时空预测的丰度和组成的饮用水微生物组。该研究计划结合了最先进的综合分析和新颖的建模方法，为饮用水微生物组开发了一个定量预测框架。这一预测框架将（1）帮助水务公司预先估计和消除未来的饮用水微生物风险，（2）作为饮用水微生物组模型信息定量管理的基础知识。这项研究与教育和推广计划相结合，旨在（1）吸引和培训本科生和研究生进行微生物组研究和实践，使用教学方法，旨在提高来自代表性不足的少数群体的学生参与STEM研究，以及（2）通过K-12倡议提高公众对饮用水微生物组的认识。这些目标将通过与温特沃斯理工学院和韦尔斯利学院合作，使用基于课程的本科生研究经验（CURES）方法开发环境工程中以微生物为重点的创新课程来实现，并通过东北大学STEM教育中心为波士顿地区学生开展K-12学习活动。该项目将推进饮用水研究界和以微生物组为中心的饮用水质量管理界的共同愿景。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

Reproducible Microbial Community Dynamics of Two Drinking Water Systems Treating Similar Source Waters

• DOI: 10.1021/acsestwater.1c00093
• 发表时间: 2021-06
• 期刊: ACS ES&T Water
• 作者: Sarah C. Potgieter;Zihan Dai;Minette Havenga;S. Vosloo;Makhosazana Sigudu;A. Pinto;S. Venter

Disinfection exhibits systematic impacts on the drinking water microbiome

• DOI: 10.1186/s40168-020-00813-0
• 发表时间: 2020-03-20
• 期刊: MICROBIOME
• 影响因子: 15.5
• 作者: Dai, Zihan;Sevillano-Rivera, Maria C.;Pinto, Ameet J.
• 通讯作者: Pinto, Ameet J.

Microbial Nitrogen Metabolism in Chloraminated Drinking Water Reservoirs

• DOI: 10.1128/msphere.00274-20
• 发表时间: 2019-06
• 期刊: mSphere
• 影响因子: 4.8
• 作者: Sarah C. Potgieter;Zihan Dai;S. Venter;Makhosazana Sigudu;A. Pinto

A snapshot of the global drinking water virome: Diversity and metabolic potential vary with residual disinfectant use

• DOI: 10.1016/j.watres.2022.118484
• 发表时间: 2022-04-30
• 期刊: WATER RESEARCH
• 影响因子: 12.8
• 作者: Hegarty, Bridget;Dai, Zihan;Duhaime, Melissa
• 通讯作者: Duhaime, Melissa