Modelling systems for managing bee disease: the epidemiology of European Foul Brood

管理蜜蜂疾病的建模系统：欧洲臭虫的流行病学

• 批准号: BB/I000615/1
• 负责人: Matthew Keeling
• 金额: $ 21.07万
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2011
• 资助国家: 英国
• 起止时间: 2011 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FI000615%2F1
• 关键词: Modelling; systems; managing; bee; disease

This project will provide a step-change in our understanding of managed pollinator disease. We will use a combined modelling and molecular approach to investigate the dynamics of European Foul Brood (EFB) as an exemplar of endemic brood disease of honey bee colonies using historic data derived from long-term monitoring of apiaries in England and Wales. We will utilise a program of statistical, analytical and spatially explicit modelling to address the problem. Statistical modelling approaches will be used to identify putative covariates involved in the epidemiology of disease (e.g. land use, weather, management practices) (Newcastle); analytical modelling approaches will be used to investigate the role of transmission processes in determining the epidemiology of disease (Warwick & Bath); and spatially explicit models to investigate spatial spread of disease in the context of investigating the efficacy of different practical control measures (Warwick & Newcastle). The modelling will be parameterised using historic datasets which include the timing and reported incidence of EFB distribution in honey bee apiaries across England and Wales (Fera). Molecular approaches based on microsatellite markers and comparative genomics will be employed to characterise host and parasite diversity (Fera & Bath) for use as additional covariates in the statistical, analytical and spatially explicit models exploring the epidemiology of EFB in relation to host resistance. These data will be used for the testing and validation of the theoretical and spatially explicit models. We (Fera & Bath) have, in collaboration with the Sanger centre in Cambridge, already generated a draft genome sequence for M. plutonius. These data will greatly facilitate the identification of suitable markers for the characterisation of large and representative population samples and will also shed light on the genes responsible for virulence, and how pathogenesis proceeds in the bee host. EFB will provide a paradigm which we can test against other pollinator diseases. For example, developed models will be used to investigate the epidemiology of 14 honey bee diseases collected across 5000 apiaries as part of an ongoing Defra funded monitoring programme (Fera). Dissemination of project results is explicit within the project framework and includes, the production of a list of key end-users, stakeholder workshops, bi-annual project newsletters, reporting in industry literature, a disease management summary document and conference attendance. The modelling analytical and spatially explicit models developed within this project will act as tools to guide strategy in the face of a plethora of disease threats for managed and wild pollinators.

这个项目将改变我们对传粉者疾病的理解。我们将使用从英格兰和威尔士蜂群长期监测中获得的历史数据，使用建模和分子方法相结合的方法，研究欧洲污浊幼虫(EFB)作为蜜蜂群体地方性幼虫疾病的样本的动态。我们将利用一个统计、分析和空间显式建模的程序来解决这个问题。统计建模方法将用于确定疾病流行病学中可能涉及的协变量(例如土地使用、天气、管理做法)(纽卡斯尔)；分析建模方法将用于调查传播过程在确定疾病流行病学中的作用(Warwick&Bath)；在调查不同实际控制措施的有效性的背景下，空间显式模型将用于调查疾病的空间传播(Warwick&NewCastle)。模型将使用历史数据集进行参数化，其中包括英格兰和威尔士(FERA)蜜蜂蜂群中EFB分布的时间和报告的发病率。基于微卫星标记和比较基因组学的分子方法将被用来描述宿主和寄生虫的多样性(FERA和BATH)，作为额外的协变量用于探索EFB与宿主抗性相关的流行病学的统计、分析和空间显式模型。这些数据将用于测试和验证理论模型和空间显式模型。我们(Fera&Bath)与剑桥的桑格中心合作，已经为普氏支原体产生了一个基因组序列草稿。这些数据将极大地促进识别合适的标记，以表征大的和有代表性的种群样本，并将揭示负责毒力的基因，以及蜜蜂宿主的致病过程。EFB将提供一种我们可以测试其他传粉者疾病的范例。例如，开发的模型将被用于调查从5000个蜂场收集的14种蜜蜂疾病的流行病学，作为正在进行的Defra资助的监测计划(FERA)的一部分。项目成果的传播在项目框架内是明确的，包括编制关键最终用户名单、利益攸关方讲习班、两年一次的项目通讯、行业文献报告、疾病管理摘要文件和出席会议。在该项目内开发的建模、分析和空间上明确的模型将作为指导战略的工具，以应对管理和野生传粉者面临的过多的疾病威胁。

项目成果

Predicting the spread of the Asian hornet (Vespa velutina) following its incursion into Great Britain.

• DOI: 10.1038/s41598-017-06212-0
• 发表时间: 2017-07-24
• 期刊: Scientific reports
• 影响因子: 4.6
• 作者: Keeling MJ;Franklin DN;Datta S;Brown MA;Budge GE
• 通讯作者: Budge GE

Supplementary Material from Efficient use of sentinel sites: detection of invasive honeybee pests and diseases in the UK

有效利用哨点的补充材料：英国入侵蜜蜂病虫害的检测

• DOI: 10.6084/m9.figshare.4872911
• 发表时间: 2017
• 作者: Keeling M

Invasion dynamics of Asian hornet, Vespa velutina (Hymenoptera: Vespidae): a case study of a commune in south-west France.

• DOI: 10.1007/s13355-016-0470-z
• 发表时间: 2017
• 期刊: Applied entomology and zoology
• 影响因子: 1.3
• 作者: Franklin DN;Brown MA;Datta S;Cuthbertson AGS;Budge GE;Keeling MJ
• 通讯作者: Keeling MJ

Efficient use of sentinel sites: detection of invasive honeybee pests and diseases in the UK.

• DOI: 10.1098/rsif.2016.0908
• 发表时间: 2017-04
• 期刊: Journal of the Royal Society, Interface
• 作者: Keeling MJ;Datta S;Franklin DN;Flatman I;Wattam A;Brown M;Budge GE
• 通讯作者: Budge GE

Modelling the spread of American foulbrood in honeybees.

• DOI: 10.1098/rsif.2013.0650
• 发表时间: 2013-11-06
• 期刊: Journal of the Royal Society, Interface
• 作者: Datta S;Bull JC;Budge GE;Keeling MJ
• 通讯作者: Keeling MJ