DAO

Diseases of Aquatic Organisms

DAO is a hybrid research journal on all aspects of disease phenomena in aquatic organisms.

Online: ISSN 1616-1580

Print: ISSN 0177-5103

DOI: https://doi.org/10.3354/dao

Impact Factor1.2 (JCR 2025 release)

Article Acceptance Rate47.2% (2024)

Average Time in Review183 days (2024)

Total Annual Downloads575.294 (2025)

Volume contents
Dis Aquat Org 144:175-185 (2021)

Quantitative 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
sotomartinez@ucdavis.edu