Your browser doesn't support javascript.
loading
Comparison of microscopic and metagenomic approaches to identify cereal pathogens and track fungal spore release in the field.
Pilo, Paola; Lawless, Colleen; Tiley, Anna M M; Karki, Sujit J; Burke, James I; Feechan, Angela.
Afiliação
  • Pilo P; School of Agriculture & Food Science and UCD Earth Institute, University College Dublin, Belfield, Ireland.
  • Lawless C; School of Biology and Environmental Science and UCD Earth Institute, University College Dublin, Belfield, Ireland.
  • Tiley AMM; Department of Agriculture, Food and the Marine, Celbridge, Ireland.
  • Karki SJ; School of Agriculture & Food Science and UCD Earth Institute, University College Dublin, Belfield, Ireland.
  • Burke JI; School of Agriculture & Food Science and UCD Earth Institute, University College Dublin, Belfield, Ireland.
  • Feechan A; School of Agriculture & Food Science and UCD Earth Institute, University College Dublin, Belfield, Ireland.
Front Plant Sci ; 13: 1039090, 2022.
Article em En | MEDLINE | ID: mdl-36340419
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 (Alternaria spp., Blumeria graminis, Cladosporium spp., Fusarium spp., Puccinia spp., and Zymoseptoria 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 Fusarium spp. and Zymoseptoria spp. This revealed that Zymoseptoria spp. and Fusarium spp. ascospore release show a positive correlation with relative humidity (%RH). Whereas air temperature (°C) negatively affects Zymoseptoria spp. ascospore release.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Plant Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irlanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Plant Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irlanda