OPUS: MCS Synthesis of longitudinal '-omics' research of microbial communities in Hudson River Valley freshwater streams

OPUS：哈德逊河谷淡水溪流微生物群落纵向“组学”研究的 MCS 综合

• 批准号: 1950018
• 负责人: Bernadette Connors
• 金额: $ 16.6万
• 依托单位: Dominican University New York
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950018&HistoricalAwards=false
• 关键词: OPUS; MCS; Synthesis; longitudinal; omics

Bacterial contamination of surface waters is an important issue nationwide. There is a critical need to understand the source and persistence of this pollution to protect our Nation's freshwater resources. The purpose of this OPUS:MCS grant is to enable a new synthesis of ongoing research on this topic by a mid-career scientist at Dominican College of Blauvelt. This will be facilitated through partnership with a colleague at the University of Massachusetts to gain new capabilities to enhance the PI's research productivity and teaching repertoire. For a number of years, the PI's undergraduate students at Dominican College have been involved in collection and characterization of microbiome samples from various streams in the Hudson River watershed with the goal of identifying sources of organic pollution. The objective of this project is to synthesize these datasets to more clearly understand microbial distribution patterns, especially in relationship to headwater location, local weather and climate. Additional datasets will be analyzed to better understand dynamic fluctuations in community structure and function at selected sites. Training of students in computational genomics while synthesizing these data will garner them more opportunities when entering the STEM workforce. Dissemination of this work includes the creation of training workshops for interested citizen science groups concerned about their own communities, and making genomic data available via a public database. This project will explore the use of advanced methodologies to elucidate the nature of microbial communities in surface waters of creeks and streams in the Hudson River watershed. Data derived from next-generation meta-genomic and -transcriptomic sequencing will enable researchers to examine the overall vitality and stability of these streams, providing baseline information by which impacts related to further pollution and environmental change can be measured. By integrating community profiling and meta-'omics data of samples derived from a polluted freshwater creek, the results will inform local water keeper and citizen science groups as they document water quality and develop more reliable methods by which to locate contamination sources. Genomic and expression data derived from microbiome communities in sediment and water from Sparkill Creek will be used to determine the nature and impact of the contamination. These analyses have the potential to identify problems regarding sources and sinks of microbial pollution, and assess the utility of this type of comparative analysis in elucidating unseen problems.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.

地表水的细菌污染是全国范围内的一个重要问题。 为了保护我们国家的淡水资源，迫切需要了解这种污染的来源和持久性。 OPUS:MCS 资助的目的是使多米尼加布劳维尔特学院的一位职业中期科学家对该主题正在进行的研究进行新的综合。这将通过与马萨诸塞大学的一位同事合作获得新的能力来促进，以提高 PI 的研究生产力和教学能力。 多年来，多米尼加学院的 PI 本科生一直致力于哈德逊河流域各溪流微生物样本的收集和表征，目的是确定有机污染源。该项目的目标是综合这些数据集，以更清楚地了解微生物分布模式，特别是与水源位置、当地天气和气候的关系。 将分析其他数据集，以更好地了解选定地点群落结构和功能的动态波动。在综合这些数据的同时对学生进行计算基因组学培训将为他们在进入 STEM 劳动力市场时获得更多机会。这项工作的传播包括为关心自己社区的感兴趣的公民科学团体创建培训研讨会，并通过公共数据库提供基因组数据。该项目将探索使用先进的方法来阐明哈德逊河流域小溪和溪流地表水中微生物群落的性质。来自下一代宏基因组和转录组测序的数据将使研究人员能够检查这些流的整体活力和稳定性，提供基线信息，通过该信息可以衡量与进一步污染和环境变化相关的影响。 通过整合从受污染的淡水溪流中提取的样本的群落分析和元组学数据，结果将为当地水务管理人员和公民科学团体提供信息，帮助他们记录水质并开发更可靠的方法来定位污染源。 来自 Sparkill Creek 沉积物和水中微生物群落的基因组和表达数据将用于确定污染的性质和影响。 这些分析有可能确定有关微生物污染源和汇的问题，并评估此类比较分析在阐明未见问题方面的效用。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。