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A Systems Approach to Disease Resistance Against Necrotrophic Fungal Pathogens

A Systems Approach to Disease Resistance Against Necrotrophic Fungal Pathogens
针对坏死性真菌病原体的抗病系统方法
批准号:
BB/M017877/1
负责人:
Katherine Denby
金额:
$60.04万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

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中文摘要
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英文摘要
The fungal pathogens Botrytis cinerea and Sclerotinia sclerotiorum have broad host ranges and cause serious disease on many horticultural crops. Both fungi can cause substantial losses on field-grown and protected lettuce crops, an industry worth almost £200 M annually in the UK. B. cinerea is a particular problem post-harvest, whereas S. sclerotiorum can result in up to 50% crop loss pre-harvest. Chemical control is problematic as few effective compounds are available, the number of sprays is restricted and timing is difficult. Moreover, the fungicides are medium to high risk for development of resistance. Development of durable resistance in the crop is a more sustainable solution, but has been an intransigent problem for lettuce breeders. The objective of this proposal is to demonstrate that a novel approach to breeding for pathogen resistance is possible.We will apply genomic and systems biology (computational) approaches in lettuce, and combine this with quantitative genetics studies to identify novel genes for increasing the resistance of lettuce to both B. cinerea and S. sclerotiorum. This will provide a foundation to develop similar resistance to these pathogens in other horticultural crops.We have two hypotheses we want to test. Firstly, that we can identify genes which confer resistance to both B. cinerea and S. sclerotiorum, two necrotrophic fungal pathogens. Genome sequencing of these fungi has indicated they share a range of genes associated with infection and colonization of plants, hence host resistance mechanisms against one pathogen might also confer resistance to the other.Secondly, we want to test the feasibility of applying systems biology research into horticultural crop species. We have used systems biology approaches to generate network models of how genes interact during the defence response of Arabidopsis to infection by B. cinerea. We combined large-scale gene expression data with mathematical modelling to predict the key resistance genes. In this work, we will carry out network analysis of the lettuce defence response and test whether the same genes are involved in disease resistance, and/or whether the hub genes in the network are important. This is a completely new approach to crop improvement, relying on gene-gene interactions during defence against pathogen infection. We will also look for conservation of disease resistance genes in tomato and Brassica, key crops affected by these pathogens.At the same time we will employ a more traditional quantitative genetic analysis to identify regions of the lettuce genome that influence resistance against both of these pathogens. We will screen nearly 100 lettuce accessions and cross accessions with the greatest resistance to a standard cultivar to generate mapping populations. A pre-existing mapping population (known to be segregating for disease resistance) will be screened for disease resistance to both B. cinerea and S. scerotiorum to identify important genomic regions for these traits.Finally we will integrate our quantitative genetic analysis and results from network analysis to generate lettuce lines and markers for use in breeding programmes. This project is possible because of the lettuce genome sequence that is available, as well as the extensive lettuce germplasm and genetic and genomic resources that Warwick has generated. The work will be exploited primarily through A.L.Tozer to develop lettuce varieties with increased resistance to B. cinerea and S. sclerotiorum fungal pathogens.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1111/pce.13930
发表时间: 2020-10
期刊: Plant, cell & environment
影响因子: --
作者: [C. Oates;K. Denby;A. Myburg;B. Slippers;S. Naidoo]
通讯作者: C. Oates;K. Denby;A. Myburg;B. Slippers;S. Naidoo
DOI: 10.1007/s00122-022-04129-5
发表时间: 2022-07
期刊: THEORETICAL AND APPLIED GENETICS
影响因子: 5.4
作者: [Pink, Harry, Talbot, Adam, Graceson, Abi, Graham, Juliane, Higgins, Gill, Taylor, Andrew, Jackson, Alison C., Truco, Maria, Michelmore, Richard, Yao, Chenyi, Gawthrop, Frances, Pink, David, Hand, Paul, Clarkson, John P., Denby, Katherine]
通讯作者: Denby, Katherine
DOI: 10.1002/fes3.106
发表时间: 2017-02-01
期刊: FOOD AND ENERGY SECURITY
影响因子: 5
作者: [Buchanan-Wollaston, Vicky, Wilson, Zoe, Denby, Katherine]
通讯作者: Denby, Katherine
Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens
介导对真菌病原体定量抗性的生菜遗传位点的鉴定
DOI: 10.1101/2022.03.08.483472
发表时间: 2022
期刊:
影响因子: --
作者: [Pink H]
通讯作者: Pink H
Understanding and exploiting a nitrogen-fixing endophyte for enhancing sustainability and productivity of vertical farming
  • 批准号:
    BB/Z514354/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $62.7万
  • 财政年份:
    2024
  • 负责人:
    Katherine Denby
  • 依托单位:
New Enzymatic Virulence Factors In Phytophthora Infestans
  • 批准号:
    BB/V000365/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $66.17万
  • 财政年份:
    2021
  • 负责人:
    Katherine Denby
  • 依托单位:
Targeting Plant Pathogens Through LPMO Gene Silencing
  • 批准号:
    BB/S018735/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $25.78万
  • 财政年份:
    2019
  • 负责人:
    Katherine Denby
  • 依托单位:
Harnessing the benefits of African leafy vegetables for smallholder farmers and their households
  • 批准号:
    BB/R020345/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $105.38万
  • 财政年份:
    2018
  • 负责人:
    Katherine Denby
  • 依托单位:
国内基金
海外基金
EnSite array指导下对Stepwise approach无效的慢性房颤机制及消融径线设计的实验研究
  • 批准号:
    81070152
  • 项目类别:
    面上项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2010
  • 负责人:
    唐恺
  • 依托单位: