Agricultural insect pest control: combining genetics, resistance management and dynamics
Agricultural insect pest control: combining genetics, resistance management and dynamics
批准号:
BB/L00948X/1
负责人:
Michael Bonsall
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
项目状态:
已结题
起止时间:
2014 至 --
中文摘要
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英文摘要
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.
期刊论文(10)
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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:
a publication of the Ecological Society of America
影响因子:
--
作者:
[Hackett SC]
通讯作者:
Hackett SC
DOI:
10.1111/afe.12241
发表时间:
2018-05
期刊:
Agricultural and forest entomology
影响因子:
1.6
作者:
[Alphey N, Bonsall MB]
通讯作者:
Bonsall MB
DOI:
10.1111/1365-2664.12680
发表时间:
2016-10
期刊:
The Journal of applied ecology
影响因子:
--
作者:
[Hackett SC, Bonsall MB]
通讯作者:
Bonsall MB
DOI:
10.1098/rsif.2013.1071
发表时间:
2014-04-06
期刊:
Journal of the Royal Society, Interface
影响因子:
--
作者:
[Alphey N, Bonsall MB]
通讯作者:
Bonsall MB
DOI:
10.1186/s12915-015-0161-1
发表时间:
2015-07-16
期刊:
BMC biology
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
共 8 条
Integrating ecology and genetics for insect pest control
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批准号:BB/H01814X/1
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