The impact of intensive livestock production on the disease ecology of antibiotic resistant staphylococcus

集约化畜牧生产对耐药葡萄球菌疾病生态的影响

• 批准号: 1316318
• 负责人: Jill Stewart
• 金额: $ 185.79万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1316318&HistoricalAwards=false
• 关键词: impact; intensive; livestock; production; disease

This project will explore whether intensive livestock production practices contribute to the evolution and increasing prevalence of multidrug-resistant Staphylococcus, including methicillin resistant Staphylococcus aureus (MRSA). Using field studies and genetic typing of Staphylococcus bacteria, principles for the emergence and dissemination of livestock-associated MRSA will be established, and models will be developed to explore transmission between food animal production systems, the environment, workers and communities. This project will build on existing partnerships with community groups in rural North Carolina and establish protocols and databases important for advancement of global scientific knowledge about MRSA.Models developed during this research will be useful to estimate the probability of transfer of MRSA from a farm into surrounding ecosystems and communities based on operational practices (e.g., antibiotic use, animal density, waste management systems). Outputs from the models could also help identify the most effective interventions to reduce transfer of MRSA into ecosystems and communities. Ultimately, these results will help evaluate whether modern livestock production systems affect the emergence of antibiotic resistant bacteria, and will provide important new insights into management practices that could impact the ecology of MRSA and other antibiotic resistant bacteria.

该项目将探讨集约化畜牧生产实践是否有助于耐多药葡萄球菌（包括耐甲氧西林金黄色葡萄球菌（MRSA））的演变和日益增加的患病率。通过实地研究和葡萄球菌的基因分型，将建立与牲畜相关的MRSA出现和传播的原则，并将开发模型来探索食用动物生产系统，环境，工人和社区之间的传播。该项目将建立在与北卡罗来纳州农村社区团体的现有合作伙伴关系的基础上，并建立对全球MRSA科学知识进步至关重要的协议和数据库。抗生素使用、动物密度、废物管理系统）。模型的输出还可以帮助确定最有效的干预措施，以减少MRSA向生态系统和社区的转移。最终，这些结果将有助于评估现代畜牧业生产系统是否影响抗生素耐药菌的出现，并将为可能影响MRSA和其他抗生素耐药菌生态的管理实践提供重要的新见解。

项目成果

Microbial Indicators of Fecal Pollution: Recent Progress and Challenges in Assessing Water Quality

• DOI: 10.1007/s40572-020-00278-1
• 发表时间: 2020-06-15
• 期刊: CURRENT ENVIRONMENTAL HEALTH REPORTS
• 影响因子: 7.9
• 作者: Holcomb, David A.;Stewart, Jill R.
• 通讯作者: Stewart, Jill R.

Characterizing Differences in Sources of and Contributions to Fecal Contamination of Sediment and Surface Water with the Microbial FIT Framework

使用微生物 FIT 框架表征沉积物和地表水粪便污染的来源和贡献的差异

• DOI: 10.1021/acs.est.2c00224
• 发表时间: 2022
• 期刊: Environmental Science & Technology
• 影响因子: 11.4
• 作者: Wiesner-Friedman, Corinne;Beattie, Rachelle E.;Stewart, Jill R.;Hristova, Krassimira R.;Serre, Marc L.
• 通讯作者: Serre, Marc L.

A watershed study assessing effects of commercial hog operations on microbial water quality in North Carolina, USA

• DOI: 10.1016/j.scitotenv.2022.156085
• 发表时间: 2022-05-25
• 期刊: SCIENCE OF THE TOTAL ENVIRONMENT
• 影响因子: 9.8
• 作者: Christenson, Elizabeth;Wickersham, Lindsay;Stewart, Jill
• 通讯作者: Stewart, Jill