Alaska Science Center, U.S. Geological Survey, 4210 University Drive, Anchorage, AK 99508, USA.
Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Stuvaregatan 2, Kalmar 392 31, Sweden.
Sci Total Environ. 2021 Apr 10;764:144551. doi: 10.1016/j.scitotenv.2020.144551. Epub 2020 Dec 18.
Anthropogenic inputs into the environment may serve as sources of antimicrobial resistant bacteria and alter the ecology and population dynamics of synanthropic wild animals by providing supplemental forage. In this study, we used a combination of phenotypic and genomic approaches to characterize antimicrobial resistant indicator bacteria, animal telemetry to describe host movement patterns, and a novel modeling approach to combine information from these diverse data streams to investigate the acquisition and long-distance dispersal of antimicrobial resistant bacteria by landfill-foraging gulls. Our results provide evidence that gulls acquire antimicrobial resistant bacteria from anthropogenic sources, which they may subsequently disperse across and between continents via migratory movements. Furthermore, we introduce a flexible modeling framework to estimate the relative dispersal risk of antimicrobial resistant bacteria in western North America and adjacent areas within East Asia, which may be adapted to provide information on the risk of dissemination of other organisms and pathogens maintained by wildlife through space and time.
人为输入到环境中的物质可能成为抗微生物药物耐药细菌的来源，并通过提供补充饲料来改变共生野生动物的生态和种群动态。在这项研究中，我们使用表型和基因组方法的组合来描述抗微生物药物耐药指示菌，使用动物遥测技术来描述宿主的运动模式，并采用一种新的建模方法来结合来自这些不同数据流的信息，以研究通过垃圾填埋场觅食的海鸥获取和长距离传播抗微生物药物耐药细菌的情况。我们的研究结果提供了证据表明，海鸥从人为来源获得抗微生物药物耐药细菌，随后通过迁徙运动在大陆之间进行传播。此外，我们引入了一个灵活的建模框架，以估计在北美西部和东亚相邻地区抗微生物药物耐药细菌的相对扩散风险，该框架可以通过空间和时间来提供有关野生动物维持的其他生物体和病原体传播风险的信息。
