U.S.- Chile Cooperative Research: Anthropogenic Influences on the Environmental Dissemination of Bacteria and Bacterial Genes

美国-智利合作研究：人为对细菌和细菌基因环境传播的影响

• 批准号: 0405419
• 负责人: Randall Singer
• 金额: $ 5.85万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-07-01 至 2006-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0405419&HistoricalAwards=false
• 关键词: U.S.; Chile; Cooperative; Research; Anthropogenic

0405419SingerThis U.S.-Chile award will provide support for Dr. Randall Singer, University of Minnesota-Twin Cities, to collaborate with Dr. Gerardo E. Gonzalez-Rocha, Universidad de Concepcion in Chile. Partial support for this project comes from the Biocomplexity in the Environment (BE) Program.The PIs will work on anthropogenic influences on the environmental dissemination of bacteria and bacterial genes. The focus of this project is on the ecological processes by which E. coli disperse into complex natural environments. They will also look at factors that are hypothesized to increase the diversity, antimicrobial resistance, and virulence of these bacteria. Through an ecosystem-based study in a rural environment, they will assess the relationships among specific anthropogenic changes, other environmental and sociological parameters, and changes in the diversity, resistance and virulence of E. coli. This activity will increase our understanding of how anthropogenic environmental changes facilitate the emergence of novel pathogens in a relevant and important ecological setting. It will aid in the development of methods for linking microbiological, epidemiological and ecological data into a dissemination/dispersal model.

0405419歌手这个美国-智利奖将为明尼苏达大学双城分校的兰德尔·辛格博士提供支持，以与杰拉多·E。Gonzalez-Rocha，智利孔塞普西翁大学。 该项目的部分支持来自环境中的生物复杂性（BE）计划。PI将研究人类活动对细菌和细菌基因环境传播的影响。 本项目的重点是生态过程中，E。大肠杆菌扩散到复杂的自然环境中。 他们还将研究假设增加这些细菌的多样性，抗菌素耐药性和毒力的因素。 通过在农村环境中进行基于生态系统的研究，他们将评估特定人为变化，其他环境和社会学参数以及E.杆菌 这项活动将增加我们对人为环境变化如何促进新病原体在相关和重要的生态环境中出现的理解。 它将协助制定将微生物、流行病学和生态数据与传播/扩散模型联系起来的方法。