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Aerobiome based genomic surveillance of fungicide resistance to track the development and spread of AMR in plant pathogens and the wider environment

Aerobiome based genomic surveillance of fungicide resistance to track the development and spread of AMR in plant pathogens and the wider environment
基于空气生物组的杀菌剂抗性基因组监测,以追踪植物病原体和更广泛环境中 AMR 的发展和传播
批准号:
MR/Y034023/1
负责人:
Konstantin Kanyuka
金额:
$42.06万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

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中文摘要
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英文摘要
Antimicrobial resistance (AMR) is a growing threat to global health, and the excessive use of antimicrobials in agriculture is a major contributor to its development. In particular, plant pathogenic fungi pose a significant problem for food safety and quality, and with fewer fungicides available due to stricter regulations, the risk of AMR development is increasing. Current surveillance methods are slow and laborious. This project aims to develop a new approach combining the latest technological advances in sampling fungal spores from air and high-throughput long-read Oxford Nanopore Technology (ONT) sequencing to track the development and spread of AMR in fungal pathogens of cereal crops and the wider environment, which includes the opportunistic human pathogen Aspergillus fumigatus whose spores are widespread in the air we breathe. This new approach for the detection of fungal species from air and detection of the fungicide resistance alleles will be validated with the laboratory based conventional fungicide resistance tests of the fungi isolated from naturally infected plants sampled from the same locations as the air. Early season sampling and diagnosis of the status of AMR at the start of the growing season, will lead to improved better cereal disease management practices based on choice and optimal minimal use of fungicide inputs as part of IPM and reduce the risk for further AMR development in plant pathogens. Ultimately, this project will help to safeguard our food supply while improving human health and sustaining biodiversity in the environment.
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