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Metabarcoding Analysis Reveals Microbial Diversity and Potential Soilborne Pathogens Associated with Almond Dieback
André Albuquerque1, Mariana Patanita1, Joana Amaro Ribeiro1
1MED-Mediterranean Institute for Agriculture, Environment and Development & CHANGE-Global Change and Sustainability Institute, IIFA-Instituto de Investigação e Formação Avançada, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal.
Almond decline is a complex disease caused by multiple fungi and bacteria. Identifying these pathogens using advanced sequencing (NGS) is crucial for developing effective management strategies.
Area of Science:
- Plant Pathology
- Microbiology
- Agricultural Science
Background:
- Almond decline and dieback pose significant threats to newly established orchards.
- Symptoms include internal necrosis, canker, and external gummosis, impacting almond production.
Purpose of the Study:
- To investigate the fungal and bacterial agents associated with almond decline and dieback.
- To compare microbial communities across six almond cultivars using metabarcoding and traditional isolation.
Main Methods:
- Utilized metabarcoding and traditional culture plate isolation to identify causative agents.
- Analyzed microbial communities in six different almond cultivars.
Main Results:
- Classical isolation identified 47 fungal species/genera, including *Diaporthe amygdali* and *Fusarium* species.
- Metabarcoding revealed soilborne pathogens like *Neocosmospora rubicola* and *Dactylonectria estremocensis*.
- The 'Soleta' cultivar showed lower microbial richness, indicating increased susceptibility.
Conclusions:
- Almond decline is multifactorial, involving co-infections by opportunistic microbes.
- Pathogens may originate from nursery substrates or shared soils with crops like olives and vineyards.
- Integrating Next-Generation Sequencing (NGS) is vital for understanding complex plant diseases and developing sustainable management strategies.
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