Application of Sequence-Related Amplified Polymorphism (SRAP) Markers for Assessing Molecular Diversity of Trichoderma Associated with Biocontrol Potential Against Phytopathogen.

Darshna G Hirpara, H P Gajera

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Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 authors.

Darshna G HirparaDepartment of Biotechnology, College of Agriculture, Junagadh Agricultural University, Junagadh, Gujarat, India.

H P GajeraDepartment of Biotechnology, College of Agriculture, Junagadh Agricultural University, Junagadh, Gujarat, India. harsukhgajera@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genus Trichoderma comprises potent biocontrol fungi known for their antagonistic activity against diverse phytopathogens. Understanding the genetic diversity among Trichoderma isolates is essential for identifying strains with enhanced biocontrol potential. Sequence-related amplified polymorphism (SRAP) markers, which target open reading frames (ORFs) and associated regulatory regions, offer a robust and efficient molecular tool for diversity analysis. This chapter describes a detailed protocol for genomic DNA extraction, SRAP-PCR amplification, and data analysis for Trichoderma isolates. The approach enables reliable assessment of genetic variation and its correlation with biocontrol traits, such as antagonism against Sclerotium rolfsii and production of antifungal metabolites. Representative primer combinations and analytical strategies are provided to facilitate reproducibility and effective strain characterization for biocontrol applications.

Indexed as

Genetic VariationPlant DiseasesPolymorphism, GeneticTrichodermaDNA, FungalGenetic MarkersOpen Reading FramesPest Control, BiologicalPolymerase Chain ReactionDNA, FungalGenetic MarkersBiocontrolGenetic analysisMolecular diversityPCRSclerotium rolfsiiSecondary metabolitesSRAP markersTrichoderma

Identifiers

PMID42919007

DOI10.1007/s001220100570

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