Agricultural insect pest control: combining genetics, resistance management and dynamics
农业害虫防治:结合遗传学、抗性管理和动力学
基本信息
- 批准号:BB/L00948X/1
- 负责人:
- 金额:$ 31.02万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2014
- 资助国家:英国
- 起止时间:2014 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The public and consumers increasingly want to see more sustainable methods used to control pests and there is general concern to promote sustainability and biodiversity in agricultural ecosystems.Diamondback moth (DBM) is a major worldwide pest of brassicas (e.g. broccoli, cabbage) causing economic losses of $4-5bn annually through management costs and crop damage. DBM has evolved resistance to all known classes of synthetic chemical insecticides and to at least two bio-pesticides based on Bt, Bacillus thuringiensis. Bt toxins typically have specific action against particular insect Orders (e.g. Lepidoptera), have unparalleled environmental safety and have been widely engineered into transgenic crops. The evolution of resistance to Bt toxins is a real challenge to the sustainable exploitation of this key bio-pesticide. DBM has not only evolved resistance to Bt many times in the field, but is also a proven laboratory system for testing evolutionary theory.Our industry partner, Oxitec Ltd (an Oxford spin-out), is pioneering genetically engineered "sterile" insects to suppress populations of agricultural or public health pests. Released "RIDL" male insects find mates in the wild and their offspring inherit a genetic construct that prevents them developing to adulthood. Our theoretical work predicts that a female-specific version will not only reduce insect numbers (daughters die so there are fewer females to lay eggs) but also help dilute any resistance in the population (sons inherit Bt-susceptible alleles from released males).Our cross-disciplinary research project brings together experts in ecology and evolution of the DBM-Bt system and world-leading biotechnologists to explore the management of insect resistance to bio-pesticides and the interplay with genetic insect control.Novel RIDL strains of DBM will be developed, in addition to Oxitec's prototypes, and a phased series of experiments will be conducted on their biology, genetic traits, and performance for suppressing DBM populations and managing resistance to Bt. Key performance traits include male mating competitiveness, sperm competition with wild-type males, longevity, dispersal, the ability to find mates and suitability for mass-rearing. These will be analysed at increasing levels of detail and realism, from small laboratory cage experiments to experiments in simulated (field cage) and actual field conditions, progressively identifying and prioritizing the most suitable strains.We will perform a series of experiments involving competition and selection to explore the effect of RIDL male releases on the evolution of DBM resistance to Bt bio-pesticides. The experiments will incorporate key features of existing resistance management strategies, such as Bt-free refuges to provide a source of Bt-susceptible genes alongside Bt diet (this is a key feature of current measures to manage resistance to Bt crops), populations with non-homogeneous spatial structure and various ecological conditions, and mixtures of different toxins (multiple toxins are used in spray treatments and engineered into some plants). These experiments will provide direct tests of theoretical predictions about the evolution of resistance and provide information about the system's dynamics to inform the formulation and parameterization of further mathematical models.Our empirical experiments will be supported by a range of novel mathematical models to gain a fuller understanding of the bio-economics of integrated pest management approaches combining bio-pesticides with genetic pest control. We will explore the potential cost-effectiveness and policy options for integrated biologically-based management of agricultural pests such as DBM.
公众和消费者越来越希望看到更可持续的方法来控制害虫,并且普遍关注农业生态系统的可持续性和生物多样性。小菜蛾(DBM)是世界范围内芸苔属植物(例如西兰花、卷心菜)的主要害虫,每年通过管理成本和作物损害造成40 - 50亿美元的经济损失。DBM已经进化出对所有已知类别的合成化学杀虫剂和至少两种基于Bt的生物杀虫剂苏云金芽孢杆菌的抗性。Bt毒素通常对特定的昆虫目(例如鳞翅目)具有特异性作用,具有无与伦比的环境安全性,并且已被广泛地工程化到转基因作物中。Bt毒素抗性的进化是对这一关键生物农药可持续利用的一个真实的挑战。DBM不仅在田间多次进化出对Bt的抗性,而且也是一种经过验证的实验室系统,用于测试进化理论。我们的行业合作伙伴Oxitec Ltd(牛津大学的一家分支机构)正在开创基因工程“不育”昆虫,以抑制农业或公共卫生害虫的种群。被释放的“RIDL”雄性昆虫在野外找到配偶,它们的后代继承了一种阻止它们发育成成年虫的基因结构。我们的理论工作预测,雌性特异性版本不仅会减少昆虫数量,(女儿死了,所以有更少的女性产卵),但也有助于稀释任何阻力的人口(儿子从释放的雄性继承Bt易感等位基因)。我们的跨学科研究项目汇集了DBM-Bt系统生态学和进化方面的专家,领导生物技术专家探索昆虫对生物杀虫剂的抗性管理以及与遗传昆虫控制的相互作用。除了Oxitec的原型之外,还将开发新型的DBM RIDL菌株,并将对其生物学进行一系列分阶段的实验,遗传性状,以及抑制DBM种群和管理Bt抗性的性能。关键的表现特征包括雄性交配竞争力,与野生型雄性的精子竞争,寿命,分散,寻找配偶的能力和适合大规模饲养。这些将被分析在越来越多的细节和现实的水平,从小型实验室笼实验模拟(田间笼)和实际的田间条件下,逐步确定和优先考虑最合适的strains.We将进行一系列的实验,涉及竞争和选择,探索影响RIDL男性释放DBM抗性的演变Bt生物农药。这些实验将结合现有抗性管理战略的主要特点,如无Bt庇护所,提供Bt敏感基因来源,同时提供Bt饮食(这是目前管理Bt作物抗性措施的一个主要特点),具有非均匀空间结构和各种生态条件的种群,以及不同毒素的混合物(多种毒素用于喷雾处理并被设计到一些植物中)。这些实验将提供直接测试的理论预测的演变阻力,并提供有关系统的动态信息,告知进一步的数学models.Our实证实验的制定和参数化将支持一系列新的数学模型,以获得更全面的了解生物农药与遗传害虫控制相结合的综合害虫管理方法的生物经济学。我们会探讨以生物为本的综合方法管理DBM等农业害虫的潜在成本效益和政策方案。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Management of a stage-structured insect pest: an application of approximate optimization.
阶段结构害虫的管理:近似优化的应用。
- DOI:10.1002/eap.1700
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Hackett SC
- 通讯作者:Hackett SC
Genetics-based methods for agricultural insect pest management.
- DOI:10.1111/afe.12241
- 发表时间:2018-05
- 期刊:
- 影响因子:1.6
- 作者:Alphey N;Bonsall MB
- 通讯作者:Bonsall MB
Type of fitness cost influences the rate of evolution of resistance to transgenic Bt crops.
- DOI:10.1111/1365-2664.12680
- 发表时间:2016-10
- 期刊:
- 影响因子:0
- 作者:Hackett SC;Bonsall MB
- 通讯作者:Bonsall MB
Interplay of population genetics and dynamics in the genetic control of mosquitoes.
- DOI:10.1098/rsif.2013.1071
- 发表时间:2014-04-06
- 期刊:
- 影响因子:0
- 作者:Alphey N;Bonsall MB
- 通讯作者:Bonsall MB
Pest control and resistance management through release of insects carrying a male-selecting transgene.
- DOI:10.1186/s12915-015-0161-1
- 发表时间:2015-07-16
- 期刊:
- 影响因子:5.4
- 作者:Harvey-Samuel T;Morrison NI;Walker AS;Marubbi T;Yao J;Collins HL;Gorman K;Davies TG;Alphey N;Warner S;Shelton AM;Alphey L
- 通讯作者:Alphey L
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Michael Bonsall其他文献
NeighbourGroups: a machine learning classi�cation tool that assigns microbial multi-locus genotypes to clusters
NeighborGroups:一种机器学习分类工具,可将微生物多位点基因型分配给簇
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Dessislava Veltcheva;Stephen Richer;Samuel Sheppard;Margaret Varga;F. Colles;Michael Bonsall;Martin Maiden - 通讯作者:
Martin Maiden
Simulating social-ecological systems: the Island Digital Ecosystem Avatars (IDEA) consortium
模拟社会生态系统:岛屿数字生态系统化身(IDEA)联盟
- DOI:
10.1186/s13742-016-0118-5 - 发表时间:
2016-03-17 - 期刊:
- 影响因子:3.900
- 作者:
Neil Davies;Dawn Field;David Gavaghan;Sally J. Holbrook;Serge Planes;Matthias Troyer;Michael Bonsall;Joachim Claudet;George Roderick;Russell J. Schmitt;Linda Amaral Zettler;Véronique Berteaux;Hervé C. Bossin;Charlotte Cabasse;Antoine Collin;John Deck;Tony Dell;Jennifer Dunne;Ruth Gates;Mike Harfoot;James L. Hench;Marania Hopuare;Patrick Kirch;Georgios Kotoulas;Alex Kosenkov;Alex Kusenko;James J. Leichter;Hunter Lenihan;Antonios Magoulas;Neo Martinez;Chris Meyer;Benoit Stoll;Billie Swalla;Daniel M. Tartakovsky;Hinano Teavai Murphy;Slava Turyshev;Fernanda Valdvinos;Rich Williams;Spencer Wood - 通讯作者:
Spencer Wood
Michael Bonsall的其他文献
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{{ truncateString('Michael Bonsall', 18)}}的其他基金
Integrating ecology and genetics for insect pest control
整合生态学和遗传学进行害虫防治
- 批准号:
BB/H01814X/1 - 财政年份:2010
- 资助金额:
$ 31.02万 - 项目类别:
Research Grant
Stochastic dynamics, inflationary effects & predator-prey metapopulations
随机动力学、通货膨胀效应
- 批准号:
NE/F010095/1 - 财政年份:2008
- 资助金额:
$ 31.02万 - 项目类别:
Research Grant
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