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SRAP markers as an alternative tool for Alternaria classification.

E Castañares1, M I Dinolfo1, A Patriarca2

  • 1Laboratorio de Biología Funcional y Biotecnología (BIOLAB)-CICBA-INBIOTEC-CONICET, Facultad de Agronomía, UNCPBA, Av. República de Italia 780, Azul, 7300, Buenos Aires, Argentina.

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|September 9, 2023
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Summary

Sequence Related Amplified Polymorphism (SRAP) markers offer a cost-effective method for identifying fungal contaminants like Alternaria in barley grains. This study demonstrates SRAP

Keywords:
AlternariaCharacterizationMolecular markerSRAP

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Area of Science:

  • Mycology
  • Plant Pathology
  • Molecular Biology

Background:

  • Alternaria species are significant fungal contaminants of global cereal grains, producing mycotoxins detrimental to human and animal health.
  • Traditional and polyphasic methods for Alternaria species complex characterization sometimes yield inconsistent results between morphological, molecular, and chemotaxonomic groupings.

Purpose of the Study:

  • To evaluate Sequence Related Amplified Polymorphism (SRAP) markers as a cost-effective tool for identifying Alternaria species groups from Argentinean barley.
  • To compare SRAP marker utility with traditional morphological, phylogenetic, and metabolite profiling methods.

Main Methods:

  • Fifty-three Alternaria isolates from Argentinean barley grains were analyzed using four combinations of SRAP markers.
  • Data was analyzed using the UPGMA dendrogram and Simple Matching similarity coefficient to generate a phylogenetic tree.

Main Results:

  • SRAP markers successfully separated Alternaria into three distinct groups, aligning with previous polyphasic approaches, including differentiation of Alternaria and Infectoriae sections.
  • Isolates of *A. arborescens* were distinctly clustered from *A. tenuissima* and *A. alternata*, which formed a single cluster.

Conclusions:

  • SRAP markers are a reliable, simple, and cost-effective molecular tool for classifying Alternaria isolates.
  • This method provides a valuable alternative for fungal identification, particularly in resource-limited settings.