Microbial community profiles identify new indicators of waterborne pathogens

微生物群落概况确定水传播病原体的新指标

• 批准号: 8186911
• 负责人: SANDRA L. MCLELLAN
• 金额: $ 39.33万
• 依托单位: UNIVERSITY OF WISCONSIN MILWAUKEE
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-01 至 2015-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8186911
• 关键词: Actinobacteria class; Address; Agriculture; Animal Sources; Animals; Bacteria; Benchmarking; Biological Assay; Cities; Cloning; Cohort Studies; Communities; Complex; Data; Databases; Detection; Disease; Ecology; Enterococcus; Environment; Environmental Risk Factor; Escherichia coli; Family; Funding; Gastroenteritis; Generations; Genetic; Health; Human; Human Virus; Interdisciplinary Study; Intestines; Lead; Life; Location; Mathematics; Measures; Methods; Microbiology; Molecular; Monitor; Organism; Pathway Analysis; Pattern; Persons; Phylogenetic Analysis; Pollution; Population; Population Genetics; Prevention; Public Health; Quality Indicator; Relative (related person); Research; Research Infrastructure; Resolution; Risk; Risk Assessment; Rivers; Route; Sampling; Sewage; Source; Specificity; Surface; Surveys; Swimming; Taxon; Technology; Testing; Time; Training; Virus; Water; Water Supply; Work; cost; disorder risk; drinking water; gut microbiota; hydrology; improved; insight; interest; member; microbial; microbial community; microorganism; novel; pathogen; water quality; water sampling; waterborne

DESCRIPTION (provided by applicant): Sewage overflows introduce complex microbial populations containing both commensal and pathogenic organisms into rivers and nearshore waters of the Great Lakes, which have more than 500 recreational beaches and serve as the drinking water supply for more than 40 million people. The prevailing fecal pollution detection indicators Escherichia coli (E. coli) and enterococci lack specificity for host source (animal or human) and are generally a poor indication of the presence of disease causing organisms. New alternative indicators would ideally be better correlated to human pathogens and therefore a more reliable indication of human health risk. We have been generating comprehensive microbial community profiles of sewage and sewage contaminated waters in order to identify candidates for alternative indicators of human fecal pollution. We have generated high-resolution profiles of microbial communities and have identified potential key indicator taxa including members of Lachnospiraceae and Ruminococcaceae. Community profiles of untreated sewage from a single city demonstrate the human taxa signature within these profiles is stable over time and corresponds closely to profiles from other studies of the human intestine. In this work, we will expand our efforts to include geographical comparisons of sewage profiles across 20 locations within the US. We will also extend our work on validating potential alternative indicators by creating profiles of contaminated water samples and utilizing quantitative PCR (qPCR) to establish statistically significant relationships between key taxa within our profiles and pathogenic viruses. The proposed expansion of our efforts is timely because we can accelerate discovery of new alternative indicators by drawing upon data being generated as part of independently funded concurrent studies. Ultimately, alternative indicators may be used within a risk assessment framework to evaluate human health risk from environmental sources of pathogens. Importantly, this work builds multidisciplinary collaborations to address a serious human health concern. The proposed work will provide training in an interdisciplinary environment that is at the crossroads of microbial ecology and genetics, microbiology, hydrology, climatology, and public health. PUBLIC HEALTH RELEVANCE: Sewage contains many pathogens that can cause waterborne illness such as gastroenteritis. Human may be exposed to waterborne pathogens through contaminated drinking water or from swimming at contaminated recreational beaches. Current methods to detect fecal pollution do not distinguish the source of pollution (human or non-human), nor do they directly indicate the presence of disease-causing organisms. Our project will employ new sequencing technologies to create a comprehensive community profile of sewage derived microorganisms, from which key members will be identified that will improve our ability to detect and track sewage contamination and waterborne disease threats.

描述（由申请人提供）：污水溢流将含有寄生性和致病性生物的复杂微生物种群引入河流和五大湖的近岸沃茨，这些水域有500多个休闲海滩，并为4000多万人提供饮用水。目前粪便污染检测指标为大肠杆菌（E.大肠杆菌）和肠球菌缺乏对宿主来源（动物或人）的特异性，并且通常不能很好地指示致病生物体的存在。新的替代指标最好与人类病原体有更好的关联，从而更可靠地指示人类健康风险。我们一直在生成污水和污水污染沃茨的综合微生物群落概况，以确定人类粪便污染替代指标的候选人。我们已经生成了微生物群落的高分辨率配置文件，并确定了潜在的关键指示类群，包括毛螺菌科和瘤胃球菌科的成员。来自单个城市的未经处理的污水的社区概况表明，这些概况中的人类分类群特征随时间推移而稳定，并且与人类肠道的其他研究的概况密切对应。在这项工作中，我们将扩大我们的努力，包括在美国20个地点的污水剖面的地理比较。我们还将通过创建受污染水样的配置文件并利用定量PCR（qPCR）在我们的配置文件中的关键类群和致病病毒之间建立统计学上的显着关系，来扩展我们在验证潜在替代指标方面的工作。拟议扩大我们的努力是及时的，因为我们可以利用作为独立资助的并行研究的一部分而产生的数据，加快发现新的替代指标。最后，可在风险评估框架内使用替代指标，以评估环境来源的病原体对人类健康的风险。重要的是，这项工作建立了多学科合作，以解决严重的人类健康问题。拟议的工作将在微生物生态学和遗传学、微生物学、水文学、气候学和公共卫生交叉的跨学科环境中提供培训。 公共卫生相关性：污水含有许多病原体，可引起胃肠炎等水传播疾病。人类可能通过受污染的饮用水或在受污染的娱乐海滩游泳而接触到水传播的病原体。目前检测粪便污染的方法不能区分污染源（人类或非人类），也不能直接指示致病生物的存在。我们的项目将采用新的测序技术来创建污水衍生微生物的全面社区概况，从中将确定关键成员，这将提高我们检测和跟踪污水污染和水传播疾病威胁的能力。