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Updated: May 25, 2025
07:10
Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
Published on: March 13, 2020
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Advanced rDNA-Based Detection of Wheat Pathogens in Grain Samples Using Next-Generation Sequencing (NGS)
Katarzyna Pieczul1, Ilona Świerczyńska1, Andrzej Wójtowicz1
1Institute of Plant Protection-National Research Institute, 60-318 Poznan, Poland.
Pathogens (Basel, Switzerland)
|February 26, 2025
Summary
High-throughput sequencing of ribosomal DNA regions in winter wheat revealed diverse fungal communities and significant contamination by pathogens like Fusarium. This method aids in precise pathogen monitoring for improved crop health management.
Area of Science:
- Phytopathology
- Mycology
- Genomics
Background:
- Traditional phytopathology diagnostics have limitations.
- High-throughput sequencing (HTS) offers precise pathogen monitoring and identification.
- Ribosomal DNA (rDNA) regions are reliable markers for fungal classification.
Purpose of the Study:
- To explore fungal diversity and pathogen presence in winter wheat grain samples using HTS.
- To evaluate the utility of ITS1 and ITS2 regions for fungal profiling and pathogen detection.
Main Methods:
- Next-generation sequencing (NGS) targeting the ITS1 and ITS2 regions of ribosomal DNA.
- Analysis of 249,743 reads from ITS1 and 179,675 reads from ITS2.
- Identification of operational taxonomic units (OTUs) and fungal taxa.
Main Results:
- Identified 183 OTUs across 115 fungal taxa.
- ITS1 analysis showed Fusarium sp. (61%) as dominant; ITS2 revealed Fusarium culmorum (47%) as most abundant, indicating significant grain contamination.
- Detected quarantine-regulated pathogens (T. caries, T. triticoides) and other significant cereal pathogens (F. cerealis, F. poae, F. tricinctum).
Conclusions:
- ITS1 and ITS2 regions are complementary for comprehensive fungal profiling and pathogen detection in wheat.
- HTS targeting rDNA regions provides valuable insights for monitoring and managing fungal pathogens in cereal crops.
- Findings highlight the potential for improved disease surveillance and risk assessment in agriculture.
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