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Group selection as a novel tool to screen and improve biological pesticides

Group selection as a novel tool to screen and improve biological pesticides
群体选择作为筛选和改进生物农药的新工具
批准号:
BB/S002928/1
负责人:
Benjamin Raymond
金额:
$47.32万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

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项目成果

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中文摘要
翻译
在现代农业和园艺中,越来越重视利用天然存在的生物体,例如昆虫病原体,用于害虫管理。苏云金芽孢杆菌(Bt)等微生物目前是针对毛虫、蚊子和甲虫害虫的有机许可应用中的主要活性成分。此外,同一种细菌也是转基因植物蛋白质的重要来源,因为它产生的许多蛋白质对小范围的昆虫具有高度毒性,但对人类和野生动物安全。然而,鉴定新的有毒细菌和鉴定对昆虫有毒的新蛋白质是一项艰巨而具有挑战性的任务。这个提议的基础是这样一个想法:如果我们能够理解对毒力因子(微生物产生的有毒蛋白质)的投资如何增加微生物的繁殖和适应性,那么我们就可以在实验室中应用基于选择的方法来分离具有高毒力的突变体或变体。在此之前,我们在理解维持毒力的选择压力方面取得了重要进展。像Bt这样的病原体不得不投入能量和资源来输出毒力因子,帮助它们感染昆虫。因此,对单个细胞的毒力投资是昂贵的,但必不可少的,因为细菌繁殖需要宿主死亡。个体水平的选择(在宿主内)可以有利于突变体,被称为“骗子”,它们依赖于其邻居产生的蛋白质来成功感染。相反,在群体水平(感染之间)的选择保持了毒力。初步的实验表明,群体水平的选择(与突变的供应相结合)可以导致突变体的出现与增加的毒力水平,即使这些突变是昂贵的individual.The群体选择方法,我们已经开发提供了一个新的工具:探索现有的微生物多样性,并试图改善微生物生物控制剂。此外,对于Bt来说,参与杀死宿主的关键蛋白质是Cry毒素,并且在产生新的和更好的Cry毒素以杀死难以靶向的害虫方面存在巨大的应用兴趣。使用基因工程方法,我们可以人工构建一个Bt菌株的集合,表达这些蛋白质的不同集合,所有这些蛋白质都具有微妙的不同组成。在这里,我们建议使用我们的新的选择方法,挑选出新的和有趣的蛋白质从这个多样化的mix.A的主要问题,这个建议是为了更好地了解何时以及如何我们可能能够应用这些组选择方法。进化理论可以帮助我们改进我们的方法,例如通过预测群体的组成如何影响选择的力量。另一个对理解这种方法的应用潜力很重要的考虑因素是,我们是否只能使用选择来改进适应度低的菌株,或者我们是否也可以改进已经在杀死昆虫宿主方面非常有效的菌株。另一个重要的预测是,选择实验可能有助于我们更好地理解病原体如何杀死昆虫宿主,并确定Bt中负责的蛋白质。当细菌进化出毒性增加时,我们可以利用DNA序列或表达的蛋白质的变化来确定哪些分子是导致毒性增加的原因。鉴于我们对Bt产生的大多数蛋白质的功能缺乏了解,我们希望获得有关这些细菌杀死宿主并克服其免疫系统的方法的重要额外知识。
英文摘要
In modern agriculture and horticulture there is more and importance placed on exploiting naturally occurring organisms, such as the pathogens of insects, for pest management. Microbes such as Bacillus thuringiensis (Bt) are currently the main active ingredients in organically licensed applications targeted at caterpillar, mosquito and beetle pests. In addition, the same bacterial species is an important source of proteins for genetically modified plants, as it produces many proteins that are highly toxic to a narrow range of insects but safe for humans and wildlife.Nevertheless, identifying novel virulent bacteria, and identifying new proteins that are toxic to insects, is a difficult and challenging task. The foundation of this proposal is the idea that if we can understand how investment in virulence factors (toxic proteins produced by microbes) increases the reproduction and fitness of microbes, then we can apply selection-based methods in the laboratory to isolate mutants or variants with high virulence. Prior to this proposal we made an important advance in understanding the selection pressure that maintains virulence. Pathogens such as Bt have to invest energy and resources in exporting virulence factors that help them infect insects. Investing in virulence is therefore costly for individual cells, but essential, as bacterial reproduction requires the death of the host. Individual level selection (within hosts) can favour mutants, known as 'cheaters', which rely on the proteins produced by their neighbours for successful infection. Conversely, selection at the group level (between infections) maintains virulence. Preliminary experiments have shown that group level selection (in combination with a supply of mutations) can lead to the emergence of mutants with increased levels of virulence, even if these mutations are costly to the individual.The group selection methods we have developed offer a new tool for: exploring existing microbial diversity and trying to improve microbial biocontrol agents. Moreover, for Bt, the critical proteins involved in killing host are the Cry toxins, and there is enormous applied interest in generating new and better Cry toxins that can kill hard-to-target pests. Using genetic engineering methods we can artificially construct a collection of Bt strains that expresses a diverse collection of these proteins, all with a subtly different make-up. Here we propose to use our new selection methods to pick out new and interesting proteins from this diverse mix.A major question for this proposal is to better understand when and how we might be able to apply these group selection methods. Evolutionary theory can help us refine our methods, for instance by predicting how the make up of groups affects the power of selection. Another consideration, that is important for understanding the applied potential of this method, is to understand whether we can only use selection to improve strains with low fitness, or whether we can also improve strains that are already quite effective at killing insect hosts.Another important prediction is that selection experiments might help us better understand how pathogens kill insect hosts, and identify the proteins responsible in Bt. When bacteria have evolved increases in virulence, we can use the change in DNA sequence, or the proteins expressed, to identify which molecules are responsible for increased virulence. Given our lack of knowledge on the function of the of the majority of proteins produced by Bt, we expect to gain significant extra knowledge regarding the means by which these bacteria can kill hosts and overcome their immune systems.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1099/acmi.0.000568.v3
发表时间: 2023
期刊: Access microbiology
影响因子: --
作者: [Erdos, Zoltan, Studholme, David John, Raymond, Ben, Sharma, Manmohan D]
通讯作者: Sharma, Manmohan D
DOI: 10.1111/eva.13529
发表时间: 2023-03
期刊: Evolutionary applications
影响因子: 4.1
作者: []
通讯作者:
Optimal Response to Quorum-Sensing Signals Varies in Different Host Environments with Different Pathogen Group Size.
在具有不同病原体群大小的不同宿主环境中,对群体感应信号的最佳响应有所不同。
DOI: 10.1128/mbio.00535-20
发表时间: 2020
期刊: mBio
影响因子: 6.4
作者: [Zhou L]
通讯作者: Zhou L
Optimal response to quorum-sensing signals varies in different host environments with different pathogen group size
在具有不同病原体群体大小的不同宿主环境中,对群体感应信号的最佳响应有所不同
DOI: 10.1101/775478
发表时间: 2019
期刊:
影响因子: --
作者: [Zhou L]
通讯作者: Zhou L
Rapid assessment of phage for combating antimicrobial resistance in Enterobacter cloacae using a novel insect model
  • 批准号:
    MR/N013824/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $22.32万
  • 财政年份:
    2016
  • 负责人:
    Benjamin Raymond
  • 依托单位:
Agricultural pest insect control: combining genetics, resistance management and dynamics
  • 批准号:
    BB/L00819X/2
  • 项目类别:
    Research Grant
  • 资助金额:
    $13.04万
  • 财政年份:
    2016
  • 负责人:
    Benjamin Raymond
  • 依托单位:
Agricultural pest insect control: combining genetics, resistance management and dynamics
  • 批准号:
    BB/L00819X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $35.14万
  • 财政年份:
    2014
  • 负责人:
    Benjamin Raymond
  • 依托单位:
Intra- and inter-specific competition and the evolution of cooperation in Bacillus thuringiensis
  • 批准号:
    NE/E012671/2
  • 项目类别:
    Fellowship
  • 资助金额:
    $38.31万
  • 财政年份:
    2009
  • 负责人:
    Benjamin Raymond
  • 依托单位:
国内基金
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  • 项目类别:
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  • 批准年份:
    2024
  • 负责人:
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高维复杂数据分析中具有可重复性的统计学习方法研究及其应用
  • 批准号:
    72071187
  • 项目类别:
    面上项目
  • 资助金额:
    48.0万元
  • 批准年份:
    2020
  • 负责人:
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基于microRNA前体性质的microRNA演化研究
最优证券设计及完善中国资本市场的路径选择
  • 批准号:
    70873012
  • 项目类别:
    面上项目
  • 资助金额:
    27.0万元
  • 批准年份:
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  • 负责人:
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