ARTICLE INFO

Article Type

Original Research

Authors

Alikhani   M. A. (1)
Kachuei   R. ()
Safaei   N. (2)
Golmohammadi   R. (1)






() Molecular Biology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
(1) Molecular Biology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
(2) Department of Plant Pathology, Faculty of Agriculture, Tarbiat Modarres University, Tehran, Iran

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Article History

Received:   August  14, 2011
Accepted:   January 28, 2012
ePublished:  

ABSTRACT

Aims T-2 mycotoxin is the most toxic trichothecene produced by Fusarium species especially Fusarium sporotrichioides. This species is the contaminant of cereal grains that can cause severe diseases among humans and animals and it may lead to death. Tri16 gene encodes an acyltransferase that catalyzes the formation of ester side groups at C-8 in biosynthesis pathway of T-2 toxin. The aim of the present study was to design a molecular method for identification of Fusarium species based on Tri16 gene, capable of producing T-2 toxin.
Methods In this experimental study, the DNA of 111 T-2 producing and nonproducing Fusarium strains (including 89 Fusarium isolates and 22 standard Fusarium spp.) were evaluated. After purifying the strains and preparing the cultures in Potato Dextrose Broth (PDB), the DNA was extracted using liquid Nitrogen and lysing buffers and by Phenol, Chloroform and Isoamyl alcohol (PCI) solutions. The gene was detected in all T-2 producing and nonproducing strains using the designed and selected primers based on Tri16 gene and PCR optimization.
Results All T-2 toxin producing Fusarium strains including Fusarium sporotrichioides (4 species), Fusarium langsethiae (1 species) and Fusarium Poae (1 species) contained the Tri16 gene fragment (1380 bp).
Conclusion Important T-2 toxin producing species such as Fusarium sporotrichioides and Fusarium langsethiae could be identified with the designed molecular protocol designed based on Tri16 gene. In addition, weakly T-2 producing species can be identified with this method.


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