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DNA barcoding for the identification of mold species in bakery plants and products

Authors :
Rudolf Krska
Verena Lasinger
Claudia Probst
Johannes Pitsch
Julian Weghuber
Michael Sulyok
Nicole Ollinger
Source :
Food Chemistry. 318:126501
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Mold identification at the species level in environmental samples is a major challenge. Molecular techniques have been widely used for fungal classification, but as most primers are genus-specific, it is laborious to identify unknown samples. In this study, a PCR-based method for the identification of mold at the species level was developed. Therefore, common sequencing primers and combinations of them, targeting specific DNA regions, were tested. Here we present a combination of eight primer pairs to identify mold within a single PCR run. The approach correctly identified mold of unknown species from samples taken at a local bakery, including Penicillium chrysogenum, Penicillium citrinum, Cladosporium sphaerospermum, Paecilomyces formosus, Rhizopus oryzae and Aspergillus niger. Results obtained from the PCR method were successfully validated by chromatographic mycotoxin and microscopy analysis. Findings highlight DNA barcoding as an appropriate tool for mold identification; however, its efficacy is essentially dependent on DNA quality and primer selection.

Details

ISSN :
03088146
Volume :
318
Database :
OpenAIRE
Journal :
Food Chemistry
Accession number :
edsair.doi.dedup.....852857602aae8297b5e62fe2398720fc