alexa Identification of Trichoderma spp. by DNA Barcode and Screening for Cellulolytic Activity | OMICS International
ISSN: 1948-5948
Journal of Microbial & Biochemical Technology
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Identification of Trichoderma spp. by DNA Barcode and Screening for Cellulolytic Activity

Abdelmegid I Fahmi1*, Ragaa A Eissa1, Khalil A El-Halfawi2, Hanafy A Hamza2 and Mahmoud S Helwa1

1Genetics Department, Faculty of Agriculture, Menoufia University, Egypt

2Institute of Genetic Engineering and Biotechnology Research, University of Sadat City, Egypt

*Corresponding Author:
Abdelmegid I Fahmi
Department of Genetics
Faculty of Agriculture
Menoufiya University
Shebin El-Kom, Egypt
Tel: 20 48 222 170
Fax: 0020225769495
E-mail: [email protected]

Received Date: March 31, 2016; Accepted Date: April 23, 2016; Published Date: April 30, 2016

Citation: Fahmi AI, Eissa RA, El-Halfawi KA, Hamza HA, Helwa MS (2016) Identification of Trichoderma spp. by DNA Barcode and Screening for Cellulolytic Activity. J Microb Biochem Technol 8:202-209. doi: 10.4172/1948-5948.1000286

Copyright: © 2016 Fahmi AI, et al. 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.

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Species identification of isolates of Trichoderma from different locations of Nile delta of Egypt was performed and their cellulolytic activities were analyzed. On the basis of morphological characteristics, 75% of isolates were identified to species level and they were divided into four aggregate groups. Morphological characterization alone was insufficient to precisely identify Trichoderma species because they have relatively few morphological characters and limited variation that cause overlapping and misidentification of the isolates. Therefore, there was a necessity to use molecular technique to compensate for the limitations of morphological characterization. DNA sequencing of 5.8S-ITS region was carried out using specific primers ITS1 and ITS4. By comparing the sequences of the 5.8S-ITS region to the sequences deposited in GenBank using BLAST program all isolates can be identified to species level with homology percentage of at least 99%. In addition, TrichOKEY search tool, was used to assess the reliability of Genbank and results were in 92% agreement with the BLAST results. Data indicated a narrow species diversity and there were two main species predominated namely; T. longibarchiatum and T. harzianum. Distribution of nucleotides as well as the (G+C) content in ITS region of isolates indicated a wide range of interspecies variation. Finally, isolates were assessed for their total cellulase activities using a cellulose-azur method, for exoglucanases activity using Avicel method and for endoglucanases activity using carboxymethyl cellulose (CMC) and acid swollen cellulose methods. Consequently, eleven isolates were selected to be the best isolates among the 28 isolates used for cellulolytic ability.


Morphological identification; Molecular identification; ITS region; Endoglucanases; Exoglucanases


Trichoderma species are cosmopolitan fungi, frequently present in all types of soil, manure and decaying plant tissues. Their dominance in soil may be attributed to their diverse metabolic capability and aggressive competitive nature [1]. The economic importance of Trichoderma is due to their production of extracellular industrial enzymes, such as cellulolytic enzymes [2]. These enzymes are extensively used in industry such as degradation of cellulose materials which are used in textile and paper industry, in wastewater treatment and in biodegradation of plant lignocellulosic materials [3]. Cellulases are enzymatic complex, that comprises exo-β-1,4-glucanases (EC, endo- β -1,4-glucanases (EC and β -1,4-glucanases (EC, that act synergistically in the hydrolysis of β-1,4-glycosidic bonds present in cellulose polymers for review see [4]. Therefore, many methods were developed to screen and select highly cellulases producing Trichoderma. The cellulose azure method is one of the choices where cellulose azure assay using dyed cellulose, a method of measuring primarily cellobiohydrolase activity by dye release [5]. The cellulose azure method is the most reliable qualitative assay for cellulolysis. This method also tests for simultaneous action of all cellulase enzymes. Degradation of cellulose results in the release of a bound dye, the vertical migration of which can be observed and the intensity of blue dye indicates the activity of cellulase [6]. Another assay was developed for screening of highly producing exoglucanase isolates using microcrystalline cellulose (Avicel) as substrate crystalline pure cellulose [7]. Also, cellulase can only degrade a specific substrate, therefore, screening of cellulase-producing Trichoderma can be performed on agar plates using a cellulosic substrate such as Avicel or carboxymethylcellulose (CMC) as carbon source for Trichoderma growth [8]. At the same time, quantitative assay of endoglucanase activity can be detected using carboxymethyl cellulose (CMC) by detection of clear zone around the colony using the Congo red stain [9]. Finally, another method for selection of hypercellulolytic Trichoderma spp. was using Petri plate with Walseth-cellulose as a sole source of Carbone [10].

Due to the diverse economical applications of Trichoderma, the correct species identification of Trichoderma is vital. Morphological characterization of Trichoderma isolates to species is currently based largely on many criteria such as conidial form, size, color and ornamentation, branching pattern, side branches, phialides and the formation of hyphal and elongation from conidiophores [11]. However, incorrect species identification using morphological characters is very common even for experts because of the high similarity of morphological characters [12]. However, recently many molecular methods and identification tools were developed, which are based on DNA sequence analysis. Therefore, it is now possible to identify every Trichoderma isolate to its species [13].

There are several molecular methods to characterize fungi species. Sequence analysis of the ITS region is the most famous method among molecular characterization methods. In eukaryotic cells, there are two internal transcribed spacers flanking the 5.8S gene. The two spacers, together with the 5.8S gene, are normally referred to as the ITS region [14]. The rRNA genes are universally conserved, while the ITS region and intergenic spacer (IGS) are highly variable [15]. The ITS region is one the fastest evolving region and they may vary among species within a genus. Thus, the sequences of these regions can be used for identification of closely related species [16]. Sequence analysis of the ITS region have been used successfully to generate specific primers capable of differentiating closely related fungal species [17]. It has typically been most useful for molecular systematic study at species level, and even within species [18].

Finally, the use of ITS sequence analysis to identify an isolate at the species level involves submission of sequences to NCBI BLAST web site and identification of respective species on the basis of the degree of sequence similarity (e.g., >98%). Also, the International Subcommission on Trichoderma and Hypocrea Taxonomy has developed a method namely Trich OKEY2. It is a program for molecular identification of Trichoderma on species levels based on an oligonucleotide ITS DNA BarCode ( Therefore, the objectives of the present study were: 1) species identification of some unknown isolates from different locations of Nile delta of Egypt and 2) documentation of their cellulolytic activity.

Materials and Methods

Samples collection

Different types of samples from soil, and decomposed organic matters, such as wheat straw and rice straw were collected from six governorates of Egypt. The samples were taken from a 15 cm depth and collected in sterile polyethylene bags, which were transported to the laboratory and stored at 4 °C until use [19].

Isolation of Trichoderma sp.

A serial dilution technique [20] was followed and a 103 dilution of each sample was prepared. 250 μL of each solution was pipetted onto a Potato Dextrose Agar (PDA) amended with 1 g/L streptomycin (Merck) plate and incubated at 28 °C for one week [21]. The culture plates were examined daily, individual colonies were isolated and uncommon colonies were reisolated onto a PDA plate [22]. Morphological characteristics were observed for identification and the plates were stored at 4°C [23]. In addition, four isolates were kindly provided by Prof. Dr Medhat Aldenary, Faculty of Agriculture, Tanta University and three isolates from our laboratory were included in this investigation.

Identification of Trichoderma isolates

Morphological identification

Two techniques, visual observation on petri dishes and micromorphological studies in slide culture, were adopted for identification of Trichoderma species. For visual observation, the isolates were grown on PDA agar for 3-5 days. The mode of mycelia growth, color, odor and changes of medium color for each isolate were examined every day. For micromorphological studies, a slide culture technique was used. Examination of the shape, size, arrangement and development of conidiophores or phialides provided a tentative identification of Trichoderma spp. [24]. Further verified and confirmed identification was performed at Plant Pathology Research Institute, Agricultural Research Center, Giza, Egypt.

Molecular identification

Molecular identification with sequences analysis of the internal transcribed spacer (ITS) 1 and 4 of ribosomal DNA (rDNA) was carried.

a) DNA extraction and purification: Isolates were inoculated onto Potato Dextrose Broth and maintained on a rotary shaker at 25°C for five days. Fungal cells were collected by filtration and homogenized in liquid nitrogen. Genomic DNA was extracted from mycelia of Trichoderma isolates using EZ-10 SPIN COLUMN GENOMIC DNA MINIPREPS KIT (BIO BASIC INC.) according to the manufacturer’s instructions. Both the purity and quantity of DNA were checked by agarose gel electrophoresis.

b) PCR was used to amplify the internal transcribed spacer regions 1 and 4 (ITS1 and 4) of the rRNA gene cluster using the following primer pair amplified as designed by Hermosa et al., [25] with modifications (Table 1).

Primer Name Sequence( 5’- 3’) Mer GC%
ITS-1 5' - TCC GTA GGT GAA CCT GCG G - 3' 19 63.16
ITS-4 5' - TCC TCC GCT TAT TGA TAT GC - 3' 20 45

Table 1: Molecular identification with sequences analysis of the internal transcribed spacer.

PCR amplifications were performed in a total volume of 50 μl by mixing 200 ng of the template DNA with 0.6 μM of each primer, 25 μl of 2x MyTaq TM Red Mix. DNA thermal cycles was used with the following PCR profile: an initial denaturation of 5 min at 95°C, followed by 35 cycles (1.0 min at 94°C, 2 min at 55°C and 2 min at 72 °C) with a final extension of 5 min at 72°C. Aliquots (5 μl) were analyzed by electrophoresis in 1.2% (wt/vol) agarose gel in 1× TBE buffer (0.045 M Tris-borate and 1 mM EDTA, pH 8.2) and stained with ethidium bromide (final concentration 0.2 mg ml−1).

c) DNA sequencing: purified and sequencing of the PCR products (amplified DNA) were performed by Macrogen Inc. (South Korea) using state-of-the-art robotics and instrumentation.

d) Sequence submission: Sequences were submitted to GenBank through Bankit (a World Wide Web sequence submission server available at NCBI home page). The sequences are available on line ( and can be located by accession numbers: KT964120, KT964121, KT964122, KT964123, KT964124, KT964125, KT964126, KT964127, KT964128, KT964129, KT964130, KT964131, KT964132, KT964133, KT964134, KT964135, KT964136, KT964137, KT964138, KT964139, KT964141, KT964143, KT964144, KT964140, KT964142, KT964145, KT964146, and KT964147

e) Sequence Analysis: The sequences of ITS1-5.8S-ITS4 region of all isolates were analyzed using Molecular Evolutionary Genetics Analysis (MEGA4 version 5.10.). The sequencing data were compared against the Gene Bank database (http://, where a nucleotide blast program was chosen to identify the homology between the PCR fragments and the sequences on the Gene Bank database. Besides, the 5.8S-ITS sequences were compared to a specific database for Trichoderma using Trich OKEY2 program, which available online from the International Subcommission on Trichoderma and Hypocrea Taxonomy (ISTH, [13].

Screening of Trichoderma isolates for cellulolytic activity

Total cellulases (Cellulose azure agar): This method carried out as described by Pointing SB et al., [6]. Cellulolysis was assessed by monitoring release of azure dye from cellulose-dye complex and diffusion into clear agar not containing cellulose-azure. As follow: Cellulolysis basal medium (CBM) 0.5 % (w/v) Diammonium tartrate (C4HI2N206 ), 0.01% (w/v) yeast extract , 0.05% (w/v) MgSO4·7H2O, 0. 1% (w/v) KH2PO4, 0.001% (w/v) CaC12.2H2O supplemented with 1.6% w/v agar was transferred to 25mL glass culture bottles, autoclaved, allowed to solidify. Then carefully aliquot of 1 ml of CBM medium supplemented with 1% w/v cellulose azure (azure I dye, sigma C.I.52010) aseptically was loaded on the surface of the solidified agar as an overlay. Media were inoculated with 5×105 spores of Trichoderma isolates and incubated at 28°C in darkness. Migration of dye into the clear lower layer indicated the presence of Cellulases. Cellulolysis was assessed by monitoring release of azure dye from cellulose-dye complex and diffusion into clear agar. The relative cellolytic activity of each isolate was scored by comparing the intensity of blue color of the medium with standard blue color scale of 1 to 10 (maximum) over an incubation period of 15 days [26].


A method by Bose RG et al., with some modifications was carried out to screen for high cellulase-producing isolates [27]. The basic medium consisted of a Mandel’s mineral solution supplemented with trace elements and 2% agar [28]. Avicel PH-101 NF was used as the sole source of carbon at a concentration of 1%. 0.01% Triton-X 100 was added to limit the colony size and to facilitate the screening of isolates. The cellulose agar plates were seeded with 5×105 spores in 20μl and incubated at 28°C for 21 days until clear zones around fungal colonies were observed. Then the diameter of the clear zone was measured.


Dye staining of carboxymethylcellulose agar (CMC agar): The cellulolytic activity of fungal strains was determined by their ability to grow and form cleared zones around colonies on Mandel’s agar medium (MAM) supplemented with 0.5% w/v low viscosity carboxymethyl cellulose (CMC) [29]. The medium was autoclaved, dispensed into Petri dishes, allowed to solidify and inoculated with 5×105 spores in 20 μl Trichoderma isolates and incubated at 28°C. After growth for 5 days, the plates were flooded with 1% aqueous Congo red and allowed to stain for 15 minutes. The stain was washed off from the agar surface with distilled water and the plates were then flooded with 1 M NaCl to destain for 15 minutes. The NaCl solution was then removed. CMC degradation around the colonies appears as a yellow-opaque area against a red color for undegraded CMC. The diameter of the clear zone was measured [6].

Walseth cellulose Plate-clearing assay

A method by Khiyami et al., with some modifications was carried out to screen for high cellulase-producing isolates [26]. The basic medium consisted of a Mandel’s mineral solution supplemented with trace elements and 2% agar. Phosphoric acid-swollen cellulose (Walseth cellulose) was used as the sole source of carbon at a concentration of 1%. 0.01% Triton-X 100 was added to limit the colony size and to facilitate the screening of isolates [30]. The plates were seeded with 5×105 spores in 20 μl and incubated at 28°C for 6 days until clear zones around fungal colonies were observed. Then the diameter of the clear zone was measured.

Statistical analysis

One-way ANOVA followed by Duncan’s multiple range test (DMRT) was used to assess the statistical significance of changes in all indices with the level of significant difference set at p<0.05. Statistical analysis software (SPSS 16.0.0 release; SPSS Inc., Chicago, IL) was used for all analyses.


A total of 28 fungal isolates were analyzed in this investigation. 21 isolates were collected samples from six governorates of Nile delta of Egypt namely; Menufia, Gharbia, Kafr el Sheikh, Sharqia, Dakahlia and Ismalia (Figure 1). In addition, four isolates were given from Tanta university collection and three isolates were from our laboratory collection. Preliminary screening was carried out for all isolates which showed that these fungal isolates were Trichoderma species. The type of samples and isolate codes were shown in Table 2.


Figure 1: Map of the isolation sites in six governorates in the North Nile Delta in Egypt.

Sample type Source Isolates code
Decomposed Wheat straw Menoufia MNF-MSH-Trich1
Field soil Menoufia MNF-MSH-Trich2
Decomposed rice straw Gharbiya MNF-MSH-Trich3
Decomposed rice straw Kafr el Sheikh MNF-MSH-Trich4
Field soil Sharqiya MNF-MSH-Trich 5
- Genetics department collection MNF-MSH-Trich6
Decomposed rice straw Sharqiya MNF-MSH-Trich7
Decomposed Wheat straw Menoufia MNF-MSH-Trich8
Decomposed rice straw Gharbiya MNF-MSH-Trich9
Decomposed rice straw Kafr el Sheikh MNF-MSH-Trich10
Decomposed tree leaves Menoufia MNF-MSH-Trich11
- Genetics department collection MNF-MSH-Trich12
- Genetics department collection MNF-MSH-Trich13
Decomposed rice straw Dakahlia MNF-MSH-Trich14
Decomposed rice straw Dakahlia MNF-MSH-Trich15
Decomposed tree leaves Ismaillia MNF-MSH-Trich16
- Tanta university collection MNF-MSH-Trich17
- Tanta university collection MNF-MSH-Trich18
- Tanta university collection MNF-MSH-Trich19
- Tanta university collection MNF-MSH-Trich20
Field soil Kafr el Sheikh MNF-MSH-Trich21
Decomposed rice straw Kafr el Sheikh MNF-MSH-Trich22
Decomposed Wheat straw Sharqiya MNF-MSH-Trich23
Garden soil Menoufia MNF-MSH-Trich24
Decomposed rice straw Gharbiya MNF-MSH-Trich25
Garden soil Ismaillia MNF-MSH-Trich26
Decomposed Wheat straw Menoufia MNF-MSH-Trich27
Decomposed Wheat straw Menoufia MNF-MSH-Trich28

Table 2: Trichoderma isolate codes, isolate origins and types of sample used in this study.

Morphological identification of the 28 Trichoderma isolates was performed and resulted in identification of all 28 isolates as Trichoderma genus (Table 3). However, as for species identification, seven isolates were not identified to species level (25%). The rest of the isolates (75%) were species identified and they divided into four groups. Seven isolates were identified as Trichoderma harzianum, six isolates as Trichoderma hamatum, five as Trichoderma viride and three as Trichoderma koningii.

Species name Isolates code
Trichodermaharzianum MNF-MSH-Trich1
Trichodermaviride MNF-MSH-Trich2
Trichodermahamatum MNF-MSH-Trich3
Trichoderma Sp. MNF-MSH-Trich4
Trichodermahamatum MNF-MSH-Trich 5
Trichodermahamatum MNF-MSH-Trich6
Trichodermakoningii MNF-MSH-Trich7
Trichoderma Sp. MNF-MSH-Trich8
Trichodermahamatum MNF-MSH-Trich9
Trichodermakoningii MNF-MSH-Trich10
Trichodermaharzianum MNF-MSH-Trich11
Trichodermaharzianum MNF-MSH-Trich12
Trichoderma Sp. MNF-MSH-Trich13
Trichodermaviride MNF-MSH-Trich14
Trichodermaviride MNF-MSH-Trich15
Trichodermaviride MNF-MSH-Trich16
Trichodermaviride MNF-MSH-Trich17
Trichodermaharzianum MNF-MSH-Trich18
Trichodermaharzianum MNF-MSH-Trich19
Trichodermakoningii MNF-MSH-Trich20
Trichoderma Sp. MNF-MSH-Trich21
Trichodermaharzianum MNF-MSH-Trich22
Trichoderma Sp. MNF-MSH-Trich23
Trichodermaharzianum MNF-MSH-Trich24
Trichoderma Sp. MNF-MSH-Trich25
Trichoderma Sp. MNF-MSH-Trich26
Trichodermahamatum MNF-MSH-Trich27
Trichodermahamatum MNF-MSH-Trich28

Table 3: The identities of Trichoderma isolates identified morphologically used in this study.

As for molecular identification, genomic DNA of all Trichoderma isolates was extracted. PCR Amplification of 5.8S-ITS Region was conducted using specific primers ITS1 and ITS4. 5.8S-ITS DNA fragments were amplified from all Trichoderma isolates and PCR products were sequenced. Then, BLAST program was used to determine the species identity of Trichoderma isolates. The BLAST results were presented in Table 4. According to the BLAST results, 15 isolates were identified as T. longibarchiatum (54%) and seven isolates were identified as T. harzianum (25%), while five isolates were identified as T. album, T. virens, T.viride, T. asperellum and T. saturnisporum. Only, one isolate MNF-MSH-Trich23 could not be identified to species level. Also, Trich OKEYsearch was also used to assess the reliability of BLAST results. Three isolates were not identified to species level namely, MNF-MSH-Trich4, MNF-MSH-Trich22, MNF-MSH-Trich23 and MNF-MSH-Trich27. Similarly, MNF-MSH-Trich23 isolate was only identified until genus level. However, 24 isolates were identified to species level (Table 5). They were divided into two main groups namely; T. longibarchiatum (14 isolates) and T. harzianum (seven isolates). In addition to three individual groups namely; T. virens, T. asperellum and T. koningiopsis. Based on the Trich OKEYresults obtained, 22 out of 44 (92%) isolates were in agreement with the results obtained from GenBank database. The disagreement was in MNF-MSH- Trich15 and MNF-MSH-Trich19 isolates.

Species name (Anamorph) NCBI GenBankaccession number Maxidentification % E value Alignments Description Isolates code
T. harzianum KT964120 99 0.0 Trichodermaharzianum KC551815.1 MNF-MSH-Trich1
T. harzianum KT964121 98 0.0 Hypocrealixii HQ149775.1 MNF-MSH-Trich2
T. longibrachiatum KT964122 99 0.0 TrichodermalongibrachiatumJX908726.1 MNF-MSH-Trich3
T. harzianum KT964123 94 0.0 Hypocrealixii EF596966.1 MNF-MSH-Trich4
T. harzianum KT964124 93 0.0 Hypocrealixii JX173856.1 MNF-MSH-Trich5
T. longibrachiatum KT964125 99 0.0 TrichodermalongibrachiatumLN713973.1 MNF-MSH-Trich6
T. longibrachiatum KT964126 98 0.0 TrichodermalongibrachiatumJX173872.1 MNF-MSH-Trich7
T. longibrachiatum KT964127 99 0.0 TrichodermalongibrachiatumLN713973.1 MNF-MSH-Trich8
T. longibrachiatum KT964128 98 0.0 TrichodermalongibrachiatumKP256797.1 MNF-MSH-Trich9
T. longibrachiatum KT964129 99 0.0 TrichodermalongibrachiatumKM103341.1 MNF-MSH-Trich10
T. longibrachiatum KT964130 99 0.0 TrichodermalongibrachiatumJX173872.1 MNF-MSH-Trich11
T. longibrachiatum KT964131 100 0.0 TrichodermalongibrachiatumKP268994.1 MNF-MSH-Trich12
T. longibrachiatum KT964132 99 0.0 TrichodermalongibrachiatumJX908727.1 MNF-MSH-Trich13
T. harzianum KT964133 100 0.0 Trichodermaharzianum KT027929.1 MNF-MSH-Trich14
T. album KT964134 97 0.0 Trichoderma album JF304318.1 MNF-MSH-Trich15
T. longibrachiatum KT964135 99 0.0 TrichodermalongibrachiatumKM103341.1 MNF-MSH-Trich16
T. virens KT964136 96 0.0 Trichodermavirens JX908730.1 MNF-MSH-Trich17
T. asperellum KT964137 97 0.0 Trichodermaasperellum GU589849.1 MNF-MSH-Trich18
T.viride KT964138 99 0.0 Hypocrearufa JQ040401.1 MNF-MSH-Trich19
T. longibrachiatum KT964139 99 0.0 TrichodermalongibrachiatumKF986656.1 MNF-MSH-Trich20
T. longibrachiatum KT964141 99 0.0 TrichodermalongibrachiatumGU055306.1 MNF-MSH-Trich21
T. saturnisporum KT964143 99 0.0 Trichodermasaturnisporum LM653121.1 MNF-MSH-Trich22
- KT964144 - - - MNF-MSH-Trich23
T. longibrachiatum KT964140 95 0.0 TrichodermalongibrachiatumJN039070.1 MNF-MSH-Trich24
T. harzianum KT964142 99 0.0 Hypocrealixii GU589848.1 MNF-MSH-Trich25
T. harzianum KT964145 99 0.0 Trichodermaharzianum KC551815.1 MNF-MSH-Trich26
T. longibrachiatum KT964146 95 0.0 TrichodermalongibrachiatumKM203582.1 MNF-MSH-Trich27
T. longibrachiatum KT964147 92 0.0 TrichodermalongibrachiatumKJ561614.1 MNF-MSH-Trich28

Table 4: Molecular identification of Trichoderma isolates used in this study by NCBI BLASTN.

Identification reliability Species identification Clade Section Isolates code
high Trichodermaharzianum Harzianum Pachybasium MNF-MSH-Trich1
high Trichodermaharzianum Harzianum Pachybasium MNF-MSH-Trich2
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich3
- The query sequence is incomplete MNF-MSH-Trich4
high Trichodermaharzianum Harzianum Pachybasium MNF-MSH-Trich5
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich6
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich7
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich8
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich9
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich10
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich11
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich12
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich13
high Trichodermaharzianum Harzianum Pachybasium MNF-MSH-Trich14
high Trichodermaharzianum Harzianum Pachybasium MNF-MSH-Trich15
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich16
high Trichodermavirens Virens Pachybasium MNF-MSH-Trich17
high Trichodermaasperellum Pachybasium "A" or Hamatum Trichoderma MNF-MSH-Trich18
high Trichodermakoningiopsis Viride Trichoderma MNF-MSH-Trich19
standard Trichodermaovalisporum Viride Trichoderma
high Trichodermaasperellum Pachybasium "A" or Hamatum Trichoderma
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich20
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich21
low Trichoderma sp. MA 3642 Longibrachiatum Longibrahiatum MNF-MSH-Trich22
The sequence was not identified. ITS1 and ITS2 regions of Hypocrea/Trichoderma were not detected. The 5.8S RNA gene is found which is not diagnostic for species identification. MNF-MSH-Trich23
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich24
high Trichodermaharzianum Harzianum Pachybasium MNF-MSH-Trich25
high Trichodermaharzianum Harzianum Pachybasium MNF-MSH-Trich26
The query sequence is incomplete MNF-MSH-Trich27
high Trichodermalongibrachiatum Longibrachiatum Longibrahiatum MNF-MSH-Trich28

Table 5: Molecular identification of Trichoderma isolates used in this study by TrichOKEY2.

Finally, Table 6 showed the distribution of nucleotides as well as the guanosine + cytosine (G+C) content in ITS1+5.8S+ITS2 complete sequences. A total length of ITS1-5.8S-ITS2 sequence region ranged from 546 bp to 1028 bp in all accessions. While, the G+C content ranged from 24.2% to 68.8%.

Isolate code T % C % A % G % G+C (mol %) Length (nt) analyzed dataset
MNF-MSH-Trich1 26.7 23.6 23.7 26.0 49.6 1028.0
MNF-MSH-Trich2 22.0 24.8 24.4 28.8 53.6 833.0
MNF-MSH-Trich3 21.2 24.1 26.8 27.9 52.0 806.0
MNF-MSH-Trich4 25.2 32.7 19.7 22.4 55.1 630.0
MNF-MSH-Trich 5 24.8 25.4 25.5 24.3 49.7 678.0
MNF-MSH-Trich6 22.4 31.0 20.6 26.0 57.0 616.0
MNF-MSH-Trich7 29.0 25.3 22.3 23.4 48.7 766.0
MNF-MSH-Trich8 25.1 25.9 23.4 25.6 51.5 710.0
MNF-MSH-Trich9 21.6 24.1 31.4 22.9 47.0 730.0
MNF-MSH-Trich10 14.8 21.9 16.5 46.9 68.8 778.0
MNF-MSH-Trich11 29.6 32.6 19.0 18.8 51.4 709.0
MNF-MSH-Trich12 22.3 31.7 20.1 25.8 57.5 561.0
MNF-MSH-Trich13 26.3 27.2 21.6 24.9 52.1 662.0
MNF-MSH-Trich14 22.7 29.7 21.6 26.0 55.7 546.0
MNF-MSH-Trich15 25.4 25.4 20.4 28.8 54.2 760.0
MNF-MSH-Trich16 33.0 26.1 17.0 24.0 50.1 789.0
MNF-MSH-Trich17 21.6 25.9 27.1 25.4 50.3 874.0
MNF-MSH-Trich18 22.5 25.0 24.1 28.4 53.4 756.0
MNF-MSH-Trich19 23.3 29.3 22.2 25.2 54.5 662.0
MNF-MSH-Trich20 23.1 31.2 21.5 24.2 55.4 637.0
MNF-MSH-Trich21 22.9 26.9 22.7 27.5 54.4 673.0
MNF-MSH-Trich22 27.4 24.8 26.2 21.7 46.5 577.0
MNF-MSH-Trich23 32.5 24.3 25.2 17.9 42.2 658.0
MNF-MSH-Trich24 22.1 29.6 22.1 26.2 55.8 714.0
MNF-MSH-Trich25 20.8 22.0 26.8 30.4 52.4 998.0
MNF-MSH-Trich26 24.6 27.0 23.7 24.6 51.6 877.0
MNF-MSH-Trich27 31.5 24.4 26.0 18.2 42.6 731.0
MNF-MSH-Trich28 26.6 24.1 22.6 26.7 50.8 888.0

Table 6: Nucleotide Frequencies in Percent of the sequences of ITS1-5.8S-ITS2 regions analyzed using Molecular Evolutionary Genetics Analysis (MEGA4 version 5.20.) for 28 Trichoderma isolates.

Total cellulase, endoglucanase, and exoglucanase activities were determined using cellulose azure agar method, carboxymethyl cellulose (CMC), and microcrystalline cellulose (SIG) as substrates, respectively, according to standard conditions described by [5] (Table 7).

Trichoderma isolate Endonuclease* Exoglucanases Avicel * Total cellulase (Cellulose azure record)**
Swollen cellulose CMC
MNF-MSH-Trich1 5.30 a 5.33 fgh 5.43 a 9
MNF-MSH-Trich2 4.83 bcd 5.40 fg 4.63 cdef 10
MNF-MSH-Trich3 4.20 g 4.97 ghij 3.73 ij 8
MNF-MSH-Trich4 2.06 k 5.97 de 1.73 lmn 9
MNF-MSH-Trich 5 4.77 cde 6.67 ab 4.63 cdef 10
MNF-MSH-Trich6 4.67 cdef 4.17 l 3.73 ij 9
MNF-MSH-Trich7 3.73 hi 6.50 abc 5.03 abc 10
MNF-MSH-Trich8 5.10 abc 6.30 bcd 5.00 abcd 10
MNF-MSH-Trich9 4.80 cde 6.70 ab 4.73 cdef 10
MNF-MSH-Trich10 4.23 fg 6.67 ab 4.47 efg 10
MNF-MSH-Trich11 3.60 hi 3.20 m 3.33 j 8
MNF-MSH-Trich12 3.57 i 5.63 ef 3.97 hi 8
MNF-MSH-Trich13 4.37 efg 6.20 cd 4.50 ef 9
MNF-MSH-Trich14 5.40 a 6.53 abc 5.45 a 10
MNF-MSH-Trich15 2.07 k 5.10 ghi 1.73 lmn 8
MNF-MSH-Trich16 4.20 g 6.17 cd 1.30 n 7
MNF-MSH-Trich17 2.00 k 5.20 fghi 1.97 kl 7
MNF-MSH-Trich18 2.00 k 4.37 kl 3.77 ij 8
MNF-MSH-Trich19 4.43 defg 6.00 de 4.65 def 10
MNF-MSH-Trich20 2.00 k 2.80 m 1.8 lm 8
MNF-MSH-Trich21 4.03 gh 6.77 a 4.03ghi 10
MNF-MSH-Trich22 5.10 abc 4.93 hij 5.23 ab 10
MNF-MSH-Trich23 3.00 j 4.27 l 1.37 mn 9
MNF-MSH-Trich24 1.36 l 6.03 de 2.27 k 7
MNF-MSH-Trich25 4.70 cde 5.10 ghi 4.33 fgh 8
MNF-MSH-Trich26 5.27 ab 4.53 jkl 5.3 a 10
MNF-MSH-Trich27 5.00 abc 4.77 ijk 4.8 bcde 10
MNF-MSH-Trich28 2.08 k 4.26 l 3.98 hi 8

Table 7: Total cellulase, endoglucanases and exoglucanases (cellobiohydrolases) enzymes activities of Trichoderma isolates.

First isolates were assessed for their total cellulase activities using Dye diffusion from a cellulose-dye complex (cellulose azure agar) method. Ten isolates recorded 10 in this scale means that they have good cellulolysis ability (Table 7). 12 isolates recorded ten namely; MNFMSH- Trich2, MNF-MSH- Trich5, MNF-MSH- Trich7, MNF-MSH Trich8, MNF-MSH- Trich9, MNF-MSH- Trich10, MNF-MSH- Trich14, MNF-MSH-Trich19, MNF-MSH-Trich21, MNF-MSH-Trich22, MNFMSH- Trich26 and MNF-MSH-Trich27. Two isolates recorded seven MNF-MSH-Trich16 and MNF-MSH-Trich17. The rest of the isolates recorded between eight and nine.

Secondly Avicel is used for measuring exoglucanase activity because it has a low degree of polymerisation of cellulose and it is relatively inaccessible to attack by endoglucanases despite some amorphous regions. Six isolates showed highly significant Avicellulases activity namely; MNF-MSH- Trich1, MNF-MSH- Trich7, MNF-MSH- Trich8, MNF-MSH- Trich14, MNF-MSH- Trich22 and MNF-MSH- Trich26 (Table 7).

Thirdly, Trichoderma isolates were identified for their endoglucanase activities on plate clearing assay by using carboxymethyl cellulose (CMC) and Congo red dye and by the formation of clear zone diameter. Based on measurements, six isolates gave clear zones of cellulase activity having diameter significantly larger than other isolates namely; MNF-MSH-Trich5, MNF-MSH-Trich7, MNF-MSH-Trich9, MNF-MSH-Trich10, MNF-MSH-Trich14 and MNF-MSH-Trich21. Carboxymethylcellulose (CMC) is a substrate for endoglucanase and so can be used as a test for endoglucanase and β-glucosidase activity (Table 7).

Another assay was conducted for endonuclease activities identification by using plate clearing assay of acid swollen cellulose as a substrate. Recording clearance of cellulose within the growth medium can be difficult to assess, particularly with dense or dark hyphal growth (Table 7). Six isolates showed high activities namely; MNF-MSH Trich1, MNF-MSH- Trich8, MNF-MSH- Trich14, MNF-MSH- Trich22, MNF-MSH- Trich26 and MNF-MSH- Trich27.


The present study basically is a domestic assessment of Trichoderma representing six Egyptian governorates. Morphological characterization was conventionally used in the identification of Trichoderma species, and it remains as a potential method to identify Trichoderma species [31]. According to this investigation results, morphological and cultural characteristics could not distinguish Trichoderma isolates up to the species level efficiently. Similarly, most of the researchers were facing difficulty with regard to the identification of the Trichoderma species owing to the higher level of structural similarities [32]. Therefore, information from morphological study alone is insufficient to precisely identify a Trichoderma species because Trichoderma species have relatively few morphological characters and limited variation that may cause overlapping and misidentification of the isolates [31]. Besides that, morphological characteristics are influenced by culture conditions [33]. Therefore, there is a necessity to use molecular technique to compensate for the limitations of morphological characterization.

In this study, DNA sequencing of the 5.8S-ITS region was carried out using specific primers ITS1 and ITS4. The ITS region is one of the most reliable loci for the identification of a strain at the species level [34]. By comparing the sequences of the 5.8S-ITS region to the sequences deposited in GenBank, all of the Trichoderma isolates except MNF-MSH- Trich23 can be identified to species level with homology percentage of at least 99%. However, Druzhinina et al., mentioned that GenBank database contain many sequences of Trichoderma isolates which may have been incorrectly identified and occurred under a false name [35]. Hence, Trich OKEYsearch tool, a program that specifically compare ITS1 and ITS2 sequences to a specific database for Trichoderma generated from only vouchered sequences were used to assess the reliability of BLAST results. Trich OKEYwas used by many literatures and resulted in successful identification of Trichoderma isolates [31]. From the Trich OKEYresults obtained all isolates except isolate MNF-MSH- Trich23 were identified. The results were in 92% agreement with the BLAST results. Isolate MNF-MSH Trich23, however, was identified as an unknown Trichoderma species. Also, morphological data of MNF-MSH- Trich23 was insufficient to be identified. The main difference between the two data bases results were in two isolates MNF-MSH- Trich15 and MNF-MSH- Trich19. Results of this investigation confirmed the same difficulty facing other researchers where the morphological characterization is not reliable. The morphological identification agreed with molecular identification in only one isolate MNF-MSH- Trich1. It was concluded that, the morphological characterization is not reliable for identification of the isolates and oligonucleotide barcode is a powerful tool for the identification of Trichoderma species and should be useful as an alternative or as a complement to morphological methods. Therefore, the molecular data of ITS sequence is more trusted in characterization and identification of isolates under study. Consequently, according to molecular findings there were two main species predominated in these isolates. T. longibarchiatum consisted about 50% of the isolates and T. harzianum consisted about 25% of the isolates. Most of these two species came from the isolates of the collected materials. This data indicted a narrow species diversity of Trichoderma isolates in the middle Delta area of Egypt. Gherbawy et al., found only one species T. harzianum in the area of Delta of Egypt [36]. Other results from south of Egypt indicated that the two species T. harzianum and T. longibarchiatum were present [37]. The predominant T. longibrachiatum is the youngest clade of Trichoderma evolutionarily [38]. Also, it is a soil fungus which is found all over the world but mainly in warmer climates [39]. The second predominant species T. harzianum is the most commonly reported species in the genus, occurring in diverse ecosystems and ecological niches [40]. Therefore, this low degree of diversity may occur due to specific biotic or abiotic factors such as plant species, microbial competition, soil physical and chemical properties and application of pesticides or fertilizers in the geographical region [4].

In addition, the interspecies identification of the species from different isolates was carried out in this study. The results showed that although, the rDNA ITS sequence was very conservative, there were variation on sequence and length among different isolates, and there was a genetic differentiation in a various degrees. Consequently, variation among individuals of the same species was noticed. For instance within T. longibarchiatum the GC% varied from 42.6% to 68.8%, while the ITS length was between 561 and 888 nucleotides. Also, within T. harzianum variation was in length between 546 and 1028 nucleotides and in GC% was between 49.6% and 55.7%. This indicated a wide range of interspecies variatins which is consistent with the idea of haplotype presence among species [4].

As mentioned before, Trichoderma sp. exhibited the highest cellulose activity and consistency in producing cellulase when compared with other microorganisms [41]. Total cellulase activity was measured using cellulose azure agar method. It is highly recommended as it is the most reliable qualitative assay for cellulolysis [42]. The experiment for cellulose azure method was conducted for 15 days, the period of time will allow Trichoderma to degrade link of azure and cellulose. Fadel et al., reported that each microorganism have the different incubation time to do the enzymatic reaction to the substrate [43]. Further analysis was conducted to differentiate isolates into two categories either highly endonucleases or exonuleases producing isolates. Avicel has been used for measuring exoglucanase activities that cleave the accessible ends of cellulose modules to liberate glucose and cellobiose [44]. To identify highly producing endoglucanases producing isolates two methods were carried out namely; CMC and Walseth cellulose plate assay. CMC is chemically modified and used to resemble the cellulose and Congo red can only colorize the cellulose and the area that is decolorized indicated the endoglucanases enzyme activity [45]. Hydrolysis of cellulose, especially the endoglucanases enzyme, is crucial, as it initiates the next synergistic actions involving β-glucosidase and cellobiohydrolases [46]. Walseth cellulose plate assay included converting the crystalline fraction of cellulose to the amorphous form by adding o-phosphoric acid to produce phosphoric acid swollen cellulose (PASC) [47]. None of screening methods reported in this research had sufficient precession to allow the selection of particular cellulase enzymes. This is may be due to the complexity of the celluletic system produced by Trichoderma. However, eleven isolates were selected to be the best isolates among the 28 isolates used. These are MNF-MSH- Trich1, MNF-MSH- Trich5, MNF-MSH- Trich7, MNF-MSH- Trich8, MNF-MSH- Trich9, MNFMSH- Trich10, MNF-MSH- Trich14, MNF-MSH- Trich21, MNF-MSH Trich22, MNF-MSH- Trich26 and MNF-MSH- Trich27. These findings were consistent with the result that most of the isolates were belonging to T. longibarchiatum and T. harzianum. These species have been adopted in various industries because of their ability to secrete large amounts of protein and metabolites [4].


According to this investigation results, the morphological characterization is not reliable for identification of the isolates and oligonucleotide barcode is a powerful tool for the identification of Trichoderma species and should be useful as an alternative or as a complement to morphological methods. According to molecular findings there were two main species predominated in the middle Delta area of Egypt namely; T. longibarchiatum and T. harzianum. Eleven isolates were selected to be the best isolates among the 28 isolates used for cellulolytic activity.


Authors are very grateful to Menoufia University for funding this project (Project name: “The use of biotechnology in the biological treatment of agricultural waste and the production of bio-fertilizers”, Funding applied research project program).


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