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Facilitating smart crop breeding through understanding the genetics of resistance and virulence in the Striga-rice interaction

Facilitating smart crop breeding through understanding the genetics of resistance and virulence in the Striga-rice interaction
通过了解独脚金与水稻相互作用中的抗性和毒力遗传学,促进智能作物育种
批准号:
BB/P022456/1
负责人:
Julie Scholes
金额:
$70.12万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
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英文摘要
Summary (4000 characters)Rice is one of the most important crops worldwide and plays a pivotal role in the national economies of sub-Saharan Africa (SSA) yet yields are constrained by species of obligate root parasitic weeds called Striga that cause yield losses of 20-100%. Striga is extremely difficult to control as individuals produce millions of small, long-lived, genetically diverse seeds that only germinate in response to germination stimulants present in host root exudates. As Striga severely damages the development of the crop immediately after attaching to the host root, control measures must act early in the life cycle to prevent losses in yield. Resistant varieties should play a key role in control strategies yet there is no published information about the identity or mechanism of action of Striga-resistance genes. Striga evolves rapidly to overcome host resistance, strongly influencing the sustainability of crop improvement strategies based on breeding for resistance. Stacking many resistance genes in a variety is essential to reduce the likelihood of resistance being overcome by the evolution of the parasite but this requires knowledge about the identity of host resistance and parasite virulence genes. This project aims to discover new resistance genes and to link this with an understanding the molecular genetic basis of parasite virulence genes for breeding of durable defence. We have recently identified the first cluster of resistance genes (Receptor-Like-Proteins (RLP)) on chromosome 12 of rice that provide resistance against several ecotypes (genetic variants) of S. hermonthica and S. asiatica and shown that simultaneous down-regulation of many of these genes in a resistant cultivar (by RNAi) restores susceptibility. However, for effective breeding of varieties, we need to know whether one, or more of the genes, acts to provide resistance, or whether different combinations of genes act against different genetic ecotypes of the parasite. We will investigate this by inactivating RLP genes, singly and in combination using CRISPR/Cas9 in resistant varieties, infecting with different ecotypes of Striga, and determining the effect on susceptibility. Recently we have compared Striga growing on susceptible and resistant hosts and taken a population genomics approach to identify a set of candidate virulence genes. To determine whether they interact with the RLP resistance genes we will collect Striga ecotypes from multiple host species/varieties across SSA. These will be genotyped with 'neutral' markers (SNPs) to look at the structure of the populations, (critical for interpretation and management of virulence) and then with SNPs in candidate virulence genes to test for specific associations with known forms of resistance. This will provide a foundation for future studies on the functional interaction between resistance and virulence genes and for association analyses to detect virulence genes relevance to other sets of resistance genes. To discover new resistance genes we will use a rice (Nested Association Mapping (NAM)) population derived from crossing one common O. sativa ssp indica parent (cv. IR64) with ten diverse parents. Two thousand NAM lines have been genotyped to produce highly detailed genetic maps for each of the 10 populations, facilitating the rapid discovery of new Striga resistance genes. We will first phenotype the 10 parents with existing and new Striga ecotypes to form a matrix of virulence/resistance to allow us to select interesting ecotypes and NAM populations to phenotype during the 2-year project whilst providing data for more extensive phenotyping in the field and laboratory in the future.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1111/nph.18305
发表时间: 2022-10
期刊: NEW PHYTOLOGIST
影响因子: 9.4
作者: [Qiu, Suo, Bradley, James M., Zhang, Peijun, Chaudhuri, Roy, Blaxter, Mark, Butlin, Roger K., Scholes, Julie D.]
通讯作者: Scholes, Julie D.
Differences in the ecology of witchweed and vampireweed: Implications for rice farming in Africa
金缕梅和吸血草的生态差异:对非洲水稻种植的影响
DOI: 10.1002/ppp3.10491
发表时间: 2024
期刊: PLANTS, PEOPLE, PLANET
影响因子: --
作者: [Rodenburg J]
通讯作者: Rodenburg J
Mapping the drivers of parasitic weed abundance at a national scale: a new approach applied to Striga asiatica in the mid-west of Madagascar
绘制全国范围内寄生杂草丰度的驱动因素:一种应用于马达加斯加中西部独脚金的新方法
DOI: 10.1111/wre.12436
发表时间: 2020
期刊: Weed Research
影响因子: 1.7
作者: [Scott D]
通讯作者: Scott D
Genomic approaches to understanding resistance and virulence in the cereal-Striga interaction for targeted breeding of durable defence.
  • 批准号:
    BB/J011703/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $150.79万
  • 财政年份:
    2013
  • 负责人:
    Julie Scholes
  • 依托单位:
Genomic approaches to understanding and exploiting interactions between the parasitic weeds Striga spp. and their hosts
  • 批准号:
    BB/H531535/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $4.98万
  • 财政年份:
    2010
  • 负责人:
    Julie Scholes
  • 依托单位:
Unravelling the molecular genetic basis of Striga resistance in cereals: integrating Quantitative Trait Loci (QTL) and genomic approaches.
  • 批准号:
    BB/H531735/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $5.2万
  • 财政年份:
    2010
  • 负责人:
    Julie Scholes
  • 依托单位:
Unravelling the molecular genetic basis of Striga resistance in cereals: integrating Quantitative Trait Loci (QTL) and genomic approaches
  • 批准号:
    BB/F004303/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $75.71万
  • 财政年份:
    2008
  • 负责人:
    Julie Scholes
  • 依托单位:
国内基金
海外基金
基于SMART技术的鳄梨叶中诱导肿瘤细胞铁死亡的先导化合物的定 向挖掘
基于“活性-代谢组-基因组-SMART”整合策略发掘老鼠簕内生放线菌新型先导化合物
  • 批准号:
    82360696
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    32万元
  • 批准年份:
    2023
  • 负责人:
    卢覃培
  • 依托单位:
特定微环境激活的mRNA翻译(SMART)系统的设计及其免疫治疗应用研究
基于ANDSystem与多组学的水稻和小麦胁迫响应分子调控网络及智能作物平台(Smart Crop)的构建
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    105万元
  • 批准年份:
    2022
  • 负责人:
    陈铭
  • 依托单位: