Title of article
A cost-effective molecular approach for classification of large Trichoderma collections
Author/Authors
Dehghan, S Department of Biotechnology and Plant Breeding - Faculty of Agriculture - Ferdowsi University of Mashhad, Iran , Mirshamsi Kakhki, A Department of Biotechnology and Plant Breeding - Faculty of Agriculture - Ferdowsi University of Mashhad, Iran , Farsi, M Department of Biotechnology and Plant Breeding - Faculty of Agriculture - Ferdowsi University of Mashhad, Iran , Seifi, A Department of Biotechnology and Plant Breeding - Faculty of Agriculture - Ferdowsi University of Mashhad, Iran
Pages
10
From page
41
To page
50
Abstract
Molecular techniques are necessary for
reliable identification of Trichoderma species. For
this, sequencing of several genomic loci, such as ITS,
TEF1 and RPB2, are advised, but this is costly when a
lot of isolates are to be analyzed. RFLP of the ITS
region, on the other hand, is a simple and cost-effective
method for differentiation between large numbers of
Trichoderma species. In the current work, 77
Trichoderma isolates were classified using the ITS-
RFLP technique by combination of three restriction
enzymes (MspI, NlaIII and NlaIV). Regarding the
results, the isolates were divided into 8 groups. Out of
these, 14 representative isolates were selected for
sequencing of ITS, TEF1 and RPB2. In order to
evaluate the enzymes used in this study, 227 ITS
sequences of Trichoderma species from the RefSeq
database of NCBI were analyzed. Based on these,
about 65% of the tested Trichoderma sequences can be
categorized into small groups including less than 10
species and thus allowing a low-cost pre-classification.
Our results showed that the ITS-RFLP method and the
enzymes used in this study can make easy the
differentiation of a large numerous of Trichoderma
species. We present the ITS-RFLP method using the
combination of three restriction enzymes as an
efficient and reliable method for the identification of
Trichoderma isolates.
Keywords
ITS-RFLP , Trichoderma , Classification , Cost-effective
Journal title
Mycologia Iranica
Serial Year
2021
Record number
2732689
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