US-Israel Collab: Pathogens and disease transmission in migratory birds along the Palearctic-African flyway
US-Israel Collab: Pathogens and disease transmission in migratory birds along the Palearctic-African flyway
批准号:
1617982
负责人:
Wayne Getz
金额:
$250.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-01 至 2023-09-30
中文摘要
这项研究的主要目的是了解候鸟在世界各地传播各种致病因子方面所起的作用。野生动物被认为是能够传播不同类型病毒和细菌病原体的媒介,或者是能够储存不同类型病毒和细菌病原体的环境储存库。在这个项目中,研究人员将捕捉、标记、收集属于10个不同物种的鸟类的血液和寄生虫样本,这些鸟类在迁徙期间会在以色列停留进食和休息。这些鸟在欧洲和亚洲的繁殖地和非洲的越冬地之间迁徙。将对个别禽鸟进行禽流感病毒和新城疫病毒的检测,检查是否有沙门氏菌、虱子和蜱的存在,并评估它们的一般健康状况。许多动物将被安装GPS标签,记录它们在几个月到几年的时间里迁徙、繁殖和越冬时的运动和位置。此外,本研究将为描述和预测候鸟传播疾病提供新的方法和工具。这些工具对人类和牲畜的健康以及野生动物的保护和管理都很有用。它们将提供给生态疾病研究界,并用于高中和大学的教育目的。该研究的科学目的是推进迁移如何影响迁移宿主种群中宿主和病原体的进化生态的知识,并在迁移种群短暂使用的区域内居住的多物种群落中了解这一点。这将通过比较以色列境内居民和迁徙亚群的血清学、免疫学和生理状态与在繁殖地和越冬地机会取样的个体来实现,这些取样地点是由GPS和数据记录标签获得的运动信息所显示的。将对这些个人健康数据、高分辨率移动数据以及病原体基因组数据进行分析,以评估以色列内外疾病在时间、强度和传播方面的关系。基于agent的计算模型将使用Nova建模平台构建,并用于评估相关变量之间的关系。此外,这些模型将用于预测疾病系统对土地利用做法和全球气候变化的反应。
英文摘要
The primary aim of the study is to understand the role that migratory birds play in spreading various disease causing agents around the world. Wildlife has been implicated as a vector, capable of transmitting, or as an environmental reservoir, capable of storing, different types of viral and bacterial pathogens. In this project, the researchers will capture, tag, collect blood and parasite samples from birds belonging to ten different species that stop over in Israel to feed and rest during migration. These birds migrate between breeding sites in Europe and Asia and overwintering sites in Africa. Individual birds will be tested for exposure to avian influenza virus and Newcastle Disease virus, the presence of salmonella bacteria, lice and ticks, and their general state-of-health will be assessed. Many of the animals will be fitted with GPS tags that record the movement and locations of individuals as they migrate, breed, and overwinter over a period of many months to several years. In addition, this study will provide new methods and tools for describing and predicting disease transmission by migrating birds. These tools will be useful both for human and livestock health, as well as for the conservation and management of wildlife. They will be made available to the ecological disease research community and for educational purposes at high school and colleges.The scientific aim of the study is to advance knowledge of how migration impacts the evolutionary ecology of hosts and pathogens within migratory host populations and also to understand this within a community of multiple species residing in an area ephemerally used by migratory populations. This will be achieved by comparing the serological, immunological and physiological state of resident and migratory subpopulations within Israel with individuals opportunistically sampled in breeding and overwinter grounds, at sites revealed by movement information obtained from GPS and data-logging tags. These individual-health data, high resolution movement data as well as pathogen genomic data, will be analyzed to assess relationships in timing, intensity and spread of diseases within and beyond Israel. Agent-based computational models will be constructed using the Nova modeling platform and used to assess relationships among correlated variables. In addition, these models will be use to predict responses of disease systems to both land-use practices and global climate change.
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