DOI: https://doi.org/10.3354/dao03582
copiedQuantitative PCR for detection and quantification of Veronaea botryosa in fish and environmental samples
ABSTRACT: Systemic phaeohyphomycosis, aka ‘fluid belly’, is one of the most important emergent diseases in sturgeon Acipenser spp. aquaculture. The etiologic agent is the saprobic, dematiaceous fungus Veronaea botryosa. Effective vaccines and chemotherapeutic treatments are currently unavailable. Additionally, the fungus is a slow-growing organism, taking from 10-15 d for colonies to be observed in agar media. To this end, a specific quantitative PCR (qPCR) targeting the V. botryosa β-tubulin gene was developed and validated. The specificity of the assay to V. botryosa was initially confirmed in silico and in vivo against common fungal fish pathogens, including closely related members of the order Chaetothyriales (Exophiala spp.) and other black pigmented fungi (Alternaria spp. and Cladosporium spp.), as well as tissues from uninfected sturgeon. The assay possessed high clinical specificity (100%) and clinical sensitivity (74%) in detecting V. botryosa DNA in splenic tissues from laboratory-infected sturgeon. Using V. botryosa genomic DNA as a template, the limit of detection was equivalent to 10 conidia, and the method was found suitable for the detection of fungal DNA in fresh and formalin-fixed tissues. In addition, the presence of non-target DNA from white sturgeon did not influence assay sensitivity. The developed qPCR assay is a sensitive, specific, and rapid diagnostic method for the detection and quantification of V. botryosa DNA from white sturgeon tissues.
KEYWORDS
Zeinab Yazdi (Co-author)
- Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, California 95616-5270, USA
Matt J. Griffin (Co-author)
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Stoneville, Mississippi 38776, USA
Felipe Pierezan (Co-author)
- School of Veterinary Medicine, Federal University of Minas Gerais, Belo Horizonte 31279-901, Brazil
Ameen Eetemadi (Co-author)
- Department of Computer Science, University of California, Davis, California 95616, USA
Khalid Shahin (Co-author)
- Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, California 95616-5270, USA
Esteban Soto (Corresponding Author)
- Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, California 95616-5270, USA
