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比较显微镜和宏基因组学方法以鉴定谷物病原体并追踪田间真菌孢子释放情况。

Comparison of microscopic and metagenomic approaches to identify cereal pathogens and track fungal spore release in the field.

作者信息

Pilo Paola, Lawless Colleen, Tiley Anna M M, Karki Sujit J, Burke James I, Feechan Angela

机构信息

School of Agriculture & Food Science and UCD Earth Institute, University College Dublin, Belfield, Ireland.

School of Biology and Environmental Science and UCD Earth Institute, University College Dublin, Belfield, Ireland.

出版信息

Front Plant Sci. 2022 Oct 20;13:1039090. doi: 10.3389/fpls.2022.1039090. eCollection 2022.

Abstract

Wheat is one of the main staple food crops, and 775 million tonnes of wheat were produced worldwide in 2022. Fungal diseases such as Fusarium head blight, Septoria tritici blotch, spot blotch, tan spot, stripe rust, leaf rust, and powdery mildew cause serious yield losses in wheat and can impact quality. We aimed to investigate the incidence of spores from major fungal pathogens of cereals in the field by comparing microscopic and metagenomic based approaches for spore identification. Spore traps were set up in four geographically distinct UK wheat fields (Carnoustie, Angus; Bishop Burton, Yorkshire; Swindon, Wiltshire; and Lenham, Kent). Six major cereal fungal pathogen genera ( spp. spp., spp., spp., and spp.) were found using these techniques at all sites. Using metagenomic and BLAST analysis, 150 cereal pathogen species (33 different genera) were recorded on the spore trap tapes. The metagenomic BLAST analysis showed a higher accuracy in terms of species-specific identification than the taxonomic tool software Kraken2 or microscopic analysis. Microscopic data from the spore traps was subsequently correlated with weather data to examine the conditions which promote ascospore release of spp. and spp. This revealed that spp. and spp. ascospore release show a positive correlation with relative humidity (%RH). Whereas air temperature (°C) negatively affects spp. ascospore release.

摘要

小麦是主要的主食作物之一,2022年全球小麦产量为7.75亿吨。诸如小麦赤霉病、小麦叶枯病、颖枯病、黄斑叶枯病、条锈病、叶锈病和白粉病等真菌病害会导致小麦严重减产,并可能影响品质。我们旨在通过比较基于显微镜和宏基因组学的孢子鉴定方法,调查田间谷物主要真菌病原体孢子的发生率。在英国四个地理位置不同的小麦田(安格斯郡卡诺斯蒂;约克郡毕晓普伯顿;威尔特郡斯温顿;肯特郡伦纳姆)设置了孢子捕捉器。使用这些技术在所有地点都发现了六个主要的谷物真菌病原体属( 属、 属、 属、 属、 属和 属)。通过宏基因组学和BLAST分析,在孢子捕捉带上记录了150种谷物病原体物种(33个不同属)。宏基因组学BLAST分析在物种特异性鉴定方面比分类工具软件Kraken2或显微镜分析具有更高的准确性。随后将孢子捕捉器的显微镜数据与气象数据相关联,以研究促进 属和 属子囊孢子释放的条件。这表明 属和 属子囊孢子释放与相对湿度(%RH)呈正相关。而气温(°C)对 属子囊孢子释放有负面影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed05/9630935/013d80e6f520/fpls-13-1039090-g001.jpg

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