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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Molecular diagnostics for the Sigatoka disease complex of banana
Phytopathology, Volume 97, No. 9, Year 2007
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Description
The Sigatoka disease complex of banana involves three related ascomycetous fungi, Mycosphaerella fijiensis, M. musicola, and M. eumusae. The exact distribution of these three species and their disease epidemiology remain unclear, because their symptoms and life cycles are rather similar. Disease diagnosis in the Mycosphaerella complex of banana is based on the presence of host symptoms and fungal fruiting structures, which hamper preventive management strategies. In the present study, we have developed rapid and robust species-specific molecular-based diagnostic tools for detection and quantification of M. fijiensis, M. musicola, and M. eumusae. Conventional species-specific polymerase chain reaction (PCR) primers were developed based on the actin gene that detected DNA at as little as 100, 1, and 10 pg/μl from M. fijiensis, M. musicola, and M. eumusae, respectively. Furthermore, TaqMan real-time quantitative PCR assays were developed based on the β-tubulin gene and detected quantities of DNA as low as 1 pg/μl for each Mycosphaerella sp. from pure cultures and DNA at 1.6 pg/μl per milligram of dry leaf tissue for M. fijiensis that was validated using naturally infected banana leaves. © 2007 The American Phytopathological Society.
Authors & Co-Authors
Arzanlou, Mahdi
Netherlands, Wageningen
Wageningen University & Research
Netherlands, Utrecht
Westerdijk Fungal Biodiversity Institute - Knaw
Abeln, Edwin C.A.
Netherlands, Utrecht
Westerdijk Fungal Biodiversity Institute - Knaw
Kema, Gerrit H.J.
Netherlands, Wageningen
Wageningen University & Research
Waalwijk, Cees
Netherlands, Wageningen
Wageningen University & Research
Guzmán, Mauricio
Unknown Affiliation
Crous, Pedro Willem
Netherlands, Wageningen
Wageningen University & Research
Netherlands, Utrecht
Westerdijk Fungal Biodiversity Institute - Knaw
Statistics
Citations: 110
Authors: 6
Affiliations: 3
Identifiers
Doi:
10.1094/PHYTO-97-9-1112
ISSN:
0031949X
Research Areas
Genetics And Genomics
Study Approach
Quantitative