Molecular Characterization of Mycotoxin Producing Fungi Contaminating Groundnut Products in Sokoto State, Nigeria
I. A. Salau, K. Shehu & A. A. Farouq
Corresponding Author : Ibrahim A. Salau,
Department of Biology, Shehu Shagari College of Education, Sokoto Nigeria.
Email ID : email@example.com
Received : 2017-04-02 Accepted : 2017-05-22 Published : 2017-05-22
Abstract : Groundnut products (kernel, cake and oil) are widely consumed among the people of Sokoto state, especially by children of school age and young adults. Groundnut products serve as supplementary protein source, and as ingredient in poultry feed formulation. A preserved isolates of mycotoxin producing fungi (Aspergillus niger, A. flavus, A. fumigatus) were collected from mycology lab of Usmanu Danfodiyo University, Sokoto. Samples were characterized through Gotaq PCR assay and RAPD analysis. Fourteen identified mold isolates were confirmed by PCR using primer pairs ITS1/ITS4, ITS1/NIG and ITS1/FLA. Random amplified polymorphic DNA (RAPD) analysis with eight primers revealed similarity in band patterns between the isolates and the control. Confirming the identification of potential Aflatoxin producing Aspergillus flavus and Ochratoxin producing A. niger strains in the groundnut products. The results obtained in this study pointed out that Aflatoxin gene cluster variability existing in populations can be useful for understanding the toxicological risk as well as the selection of biocontrol agents.
Keywords : Molecular, Aflatoxin, Aspergillus, Groundnut products and Fungi
Citation : I. A. Salau, et al. (2017). Molecular Characterization of Mycotoxin Producing Fungi Contaminating Groundnut Products In Sokoto State, Nigeria. J. of Computation in Biosciences and Engineering. V3I4. DOI : 10.5281/zenodo.999954
Copyright : © 2017 I. A. Salau. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Journal of Computation in Biosciences and Engineering
ISSN : 2348-7321
Volume 3 / Issue 4
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