Molecular variation analysis of Aspergillus flavus using polymerase chain reaction-restriction fragment length polymorphism of the internal transcribed spacer rDNA region

  • Authors:
    • Majid Zarrin
    • Maryam Erfaninejad
  • View Affiliations

  • Published online on: June 24, 2016     https://doi.org/10.3892/etm.2016.3479
  • Pages: 1628-1632
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Abstract

Aspergillus flavus is the second most common disease-causing species of Aspergillus in humans. The fungus is frequently associated with life‑threatening infections in immunocompromised hosts. The primary aim of the present study was to analyze the genetic variability among different isolates of A. flavus using polymerase chain reaction (PCR)‑based restriction fragment length polymorphism (RFLP). A total of 62 A. flavus isolates were tested in the study. Molecular variability was searched for by analysis of the PCR amplification of the internal transcribed spacer (ITS) regions of ribosomal DNA using restriction enzymes. PCR using primers for ITS1 and ITS4 resulted in a product of ~600 bp. Amplicons were subjected to digestion with restriction endonucleases EcoRI, HaeIII and TaqI. Digestion of the PCR products using these restriction enzymes produced different patterns of fragments among the isolates, with different sizes and numbers of fragments, revealing genetic variability. In conclusion, ITS‑RFLP is a useful molecular tool in screening for nucleotide polymorphisms among A. flavus isolates.

Introduction

Human infections involving Aspergillus species are being characterized with growing frequency in immunocompromised hosts; Aspergillus fumigatus causes ~80% of invasive aspergillosis, and the second most common pathogenic species is Aspergillus flavus, followed by Aspergillus niger and Aspergillus terreus (1). A. flavus is a mold that exists worldwide. Environment and geographical conditions are significant determinants of the local frequency of A. flavus infections (2). The identification of A. flavus is not simple because of its similarities with species that are closely related (3).

Variability exists in the phenotype of A. flavus, for example, isolates with the potential to produce aflatoxin have been reported (4). Therefore, the ability to distinguish between different strains of A. flavus is valuable for diagnosis. The genomic analysis of DNA using polymerase chain reaction (PCR)-based methods is a sensitive, fast and reliable approach for the determination of genetic connections between microorganisms (5,6). The internal transcribed spacer (ITS) region is an effective target for phylogenetic analysis in fungi (7); the ITS region is frequently variable between different isolates of the same species (8,9).

The development of molecular methods for the genetic differentiation of fungal species has advanced their taxonomy as a result of increased sensitivity and specificity. PCR amplification of ITS regions of ribosomal DNA (rDNA) (10,11), combined with the sequencing of amplified regions and the analysis of these by comparing them with sequences that are deposited in GenBank, has been commonly employed for the detection of fungal species (11). However, variations in a sequence of DNA could be recognized using restriction fragment length polymorphism (RFLP), which can distinguish minor differences in nucleotides that may not be expressed at the protein level. RFLP may be able to identify changes in noncoding regions of DNA, recognize closely related organisms using DNA fingerprints and infer phylogenetic relations.

In the current study, the genetic variability among A. flavus isolates was analyzed. The samples included were reference strains, and clinical and environmental isolates. RFLP of the PCR fragments of the ITS region were used to analyze the isolates. The primary aim of the present study was to genetically distinguish numerous strains of A. flavus, isolated from various sources, using PCR and RFLP.

Materials and methods

Isolates of A. flavus

A total of 62 A. flavus isolates were used in the present study. Ten reference strains, including A. flavus PFCC101, PFCC123, PFCC124, PFCC125, PFCC126, PFCC159, PFCC209, PFCC170, PFCC173 and PFCC106-139, and 25 clinical and 27 environmental isolates of A. flavus were included. Reference strains were obtained from the Pasteur Institute of Iran (Tehran, Iran). The clinical isolates were kindly provided by Dr Hossein Zarrinfar (Mashhad University of Medical Sciences, Mashhsad, Iran), Dr Sadegh Khodavaisi (Tehran University of Medical Sciences, Tehran, Iran) and Dr Parvin Dehghan (Isfahan University of Medical Sciences, Isfahan, Iran). The environmental isolates were obtained from soil or air samples collected in Ahvaz, Iran. The isolates were kept on Sabouraud dextrose agar (Merck KGaA, Darmstadt, Germany) at room temperature. All A. flavus isolates were identified by morphology. Isolates were subcultured three times to obtain a pure culture and stained with lactophenol aniline blue. The conidial arrangement, philiades, vesicles and conidiophores were observed under a light microscope for morphological characterization.

DNA extraction

Thick spore suspension (1 ml) from each isolate was transferred to an Erlenmeyer flask with 50 ml yeast extract peptone dextrose medium (Merck KGaA). Following inoculation, the flasks were kept at 200 rpm under agitation at 37°C for 48 h in order to allow for mycelia growth. The mycelia were harvested with filters, washed with 0.5 M ethylenediamine tetraacetic acid (EDTA) and sterile distilled water (dH2O) and freeze-dried at −70°C for DNA extraction. The mycelia were then ground into a fine powder using a pestle and mortar. The powder (~100 mg) was then transferred into a 1.5-ml sterile tube, and 400 µl lysis buffer (100 mM Tris-HCl, pH 8.0, 30 mM EDTA, pH 8.0 and sodium dodecyl sulfate 5% w/v) was added.

The microtubes were kept at 100°C for 20 min, and 150 µl 3 M acetate potassium was added to each tube. The suspension was kept at −20°C for 10 min, and centrifuged at 14,000 × g and 4°C for 10 min. Following transfer of the supernatant to a 1.5-ml Eppendorf tube, 250 µl phenol-chloroform-isoamyl alcohol (25:24:1, v/v) was added, and the solution was briefly was vortexed and centrifuged at 14,000 × g for 10 min. The upper aqueous phase was transferred to a new 1.5 ml microtube and 250 µl chloroform-isoamyl alcohol (24:1) was added. The samples were then briefly vortexed and centrifuged at 4°C and 14,000 × g for 10 min. The supernatant was transferred to another microtube, an equal volume of iced-cold 2-propanol was added, and samples were kept in −20°C for 10 min and then centrifuged at 14,000 × g for 10 min. The upper aqueous phase was discarded and the pellet was washed with 300 µl 70% ethanol. Following the removal of ethanol, DNA pellets were air dried and dissolved in 50 µl dH2O.

PCR amplification

Molecular identification of the ITS region of each A. flavus isolate was performed using the ITS1 (5′-TCCGTAGGTGAACCTGCGG-3′) and ITS4 (5′-TCCTCCGCTTATTGATATGC-3′) primers. PCR reactions were performed using a final volume of 50 µl, containing reaction buffer, 2.2 mM MgCl2, 200 µM each dNTP (dATP, dCTP, dGTP and dTTP), 2.5 units Taq DNA polymerase (all CinnaGen, Tehran, Iran), 100 ng template DNA and 50 pmol of each primer. The amplification conditions were as follows: Initial denaturation at 94°C for 5 min; 35 cycles of denaturation at 94°C for 2 min, annealing at 53°C for 2 min and extension at 72°C for 2 min; and final extension at 72°C for 30 min. The PCR products were separated by 1.2% agarose gel electrophoresis in a Tris base, acetic acid and EDTA buffer, and stained with ethidium bromide. PCR amplification of the ITS region yielded a 595-bp band.

Restriction site analysis of PCR products

Following amplification, the PCR products were digested with the restriction endonucleases HaeIII, EcoRI and TagI (Fermentas; Thermo Fisher Scientific, Inc., Waltham, MA, USA). The reaction for each enzyme was performed in a total volume of 20 µl containing 10 units enzyme, 2 µl buffer (500 mM KCl and Tris-HCl, pH 8.4), 8 µl PCR product and ultrapure water. The fragments were separated on a 1.2% agarose gel by electrophoresis and stained with ethidium bromide.

A number of amplicons were submitted for direct sequencing (Bioneer Corporation, Daejeon, South Korea). The obtained sequences were searched for in the NCBI database (http://www.ncbi.nlm.nih.gov/). The sequences had 100% identity with A. flavus sequences deposited in the NCBI database. The computer software package MEGA5 (http://www.megasoftware.net) was used for alignment of sequences.

Results

Molecular variation analysis of A. flavus isolates

Using ITS1 and ITS4 primers, a unique band of ~595 bp was obtained for all tested A. flavus isolates (Fig. 1). The results following digestion with restriction enzymes indicate that A. flavus isolates vary in the ITS region. The results suggest the existence of variation among A. flavus isolates. The pattern of the ITS-RFLP bands obtained following the cleavage of the PCR products with the restriction enzymes EcoRI, HaeIII and TaqI showed genetic variability among the isolates that varied in the size and number of fragments (Figs. 25).

Digestion of the ITS amplicons with EcoRI produced the expected 300-bp fragment for 59 of the 62 isolates (Fig. 2). Three clinical isolates did not present any fragments following digestion with EcoRI.

Restriction maps of the PCR product of the ITS region fragments allowed the identification of a restriction endonuclease, TaqI, which could be used to differentiate A. flavus isolates. Following PCR amplification of the ITS region cut with a TaqI enzyme, the PCR product produced two fragments, ~150 and 250 bp in size, for 59 of the 62 isolates. Three isolates, including 2 clinical and 1 environmental isolate, showed one band, ~150 bp in size (Fig. 3). Digestion of the ITS amplicons with HaeIII resulted in more restriction patterns, as compared with TaqI and EcoRI (Figs. 4 and 5).

The PCR products of the ITS region of 3 isolates were sequenced and aligned with references in the NCBI database. The sequences had 100% identity with A. flavus sequences deposited in the NCBI database.

Discussion

Methods in molecular biology have been efficiently employed for the rapid identification of microorganisms, and for overcoming the limitations associated with conventional direct culture analysis (12). Fungal rDNA has been demonstrated to include regions that are variable within genera. The ITS region of nuclear rDNA, including the intervening 5.8S rRNA gene, ITS1 and ITS2, has been extensively used to investigate the variability in fungal species and subspecies.

Restriction enzyme map analysis of the ITS regions has been employed to study the genetic diversity among the fungal isolates of various types (13,14). Variations in DNA sequences can be identified using PCR-RFLP, which is able to identify minor differences in nucleotides (11). Henry et al (7) reported that ITS1 and ITS2 are required to accurately identify the species of Aspergillus. Huang et al (15) reported interspecies variability in the ITS2 region, and used this dissimilarity to design microarray probes for the detection of pathogenic fungi.

In the present study, isolates of A. flavus were analyzed using ITS-RFLP to evaluate the genetic variability among them. A total of 62 A. flavus isolates were tested for genetic variability in the ITS regions. The primers ITS1 and ITS4 amplified successfully all the ITS region isolates tested using conventional PCR. Sequence analysis indicates that the restriction enzymes EcoRI, HaeIII and TaqI can cleave the PCR products into fragments that are useful tools for the detection of specific strains.

Numerous techniques have been developed for the systematic investigation of fungi, including random amplified polymorphic DNA, and diagnosis based on specific PCR primers (16) and sequencing (17,18). However, the techniques used are frequently based on rRNA (or rDNA) gene analysis sequences that are universal and include conserved and variable regions, and permit the discrimination of fungi at different taxonomic levels (18,19).

Analysis of PCR-amplified rDNA sequences with restriction enzymes has been shown to be an appropriate approach for taxonomic studies in several Aspergillus and Fusarium species (2023). RFLP analysis of ITS regions has demonstrated that the quantity of the carcinogenic metabolite aflatoxin B1 produced by isolates of A. flavus ranges between 1.9 and 206.6 ng/ml, with the variability being suggested to be due to differences in genetic composition (24).

In conclusion, the present study demonstrated that restriction fragments of the amplified ITS regions of A. flavus isolates are effective for the identification of different strains. The restriction enzyme found to be the most effective in the discrimination of isolates in the current study was HaeIII, followed by TaqI and EcoRI.

Acknowledgements

The present study is based on an MSc thesis by Mrs. Maryam Erfaninejad, which was supported by the Health Research Institute, Infectious and Tropical Diseases Research Center, Jundishapur University of Medical Sciences, Ahvaz, Iran (grant no. 92104).

References

1 

Krishnan S, Manavathu EK and Chandrasekar PH: Aspergillus flavus: An emerging non-fumigatus Aspergillus species of significance. Mycoses. 52:206–222. 2009. View Article : Google Scholar : PubMed/NCBI

2 

Pasqualotto AC: Differences in pathogenicity and clinical syndromes due to Aspergillus fumigatus and Aspergillus flavus. Med Mycol. 47(Suppl 1): S261–S270. 2009. View Article : Google Scholar : PubMed/NCBI

3 

Ehrlich KC and Mack BM: Comparison of Expression of Secondary Metabolite Biosynthesis Cluster Genes in Aspergillus flavus, A. parasiticus, and A. oryzae. Toxins (Basel). 6:1916–1928. 2014. View Article : Google Scholar : PubMed/NCBI

4 

Karthikeyan M, Sandosskumar R, Mathiyazhagan S, Mohankumar M, Valluvaparidasan V, Kumar S and Velazhahan R: Genetic variability and aflatoxigenic potential of Aspergillus flavus isolates from maize. Arch Phytopathol Plant Protect. 42:83–91. 2009. View Article : Google Scholar

5 

Zhang ZG, Zhang JY, Zheng XB, Yang YW and Ko WH: Molecular distinctions between Phytophthora capsici and P. tropicalis based on ITS sequences of ribosomal DNA. J Phytopathol. 152:358–364. 2004. View Article : Google Scholar

6 

Khoodoo MHR and Jaufeerally-Fakim Y: RAPD-PCR fingerprinting and southern analysis of Xanthomonas axonopodis pv. Dieffenbachiae strains isolated from different aroid hosts and locations. Plant Dis. 88:980–988. 2004. View Article : Google Scholar

7 

Henry T, Iwen PC and Hinrichs SH: Identification of Aspergillus species using internal transcribed spacer regions 1 and 2. J Clin Microbiol. 38:1510–1515. 2000.PubMed/NCBI

8 

Gomes EA, Maria Kasuya CM, de Barros EG, Borges AC and Araújo EF: Polymorphism in the internal transcribed spacer (ITS) of the ribosomal DNA of 26 isolates of ectomycorrhizal fungi. Genet Mol Biol. 25:477–483. 2002. View Article : Google Scholar

9 

Krimitzas A, Pyrri I, Kouvelis VN, Kapsanaki-Gotsi E and Typas MA: A phylogenetic analysis of Greek isolates of Aspergillus species based on morphology and nuclear and mitochondrial gene sequences. Biomed Res Int. 2013:2603952013. View Article : Google Scholar : PubMed/NCBI

10 

Criseo G, Bagnara A and Bisignano G: Differentiation of aflatoxin producing and non-producing strains of Aspergillus flavus group. Lett Appl Microbiol. 33:291–295. 2001. View Article : Google Scholar : PubMed/NCBI

11 

Chen RS, Tsay JG, Huang YF and Chiou RY: Polymerase chain reaction-mediated characterization of molds belonging to the Aspergillus flavus group and detection of Aspergillus parasiticus in peanut kernels by multiplex polymerase chain reaction. J Food Prot. 65:840–844. 2002.PubMed/NCBI

12 

Toju H, Tanabe AS, Yamamoto S and Sato H: High-coverage ITS primers for the DNA-based identification of ascomycetes and basidiomycetes in environmental samples. PLoS One. 7:e408632012. View Article : Google Scholar : PubMed/NCBI

13 

Diguta CF, Vincent B, Guilloux-Benatier M, Alexandre H and Rousseaux S: PCR ITS-RFLP: A useful method for identifying filamentous fungi isolates on grapes. Food Microbiol. 28:1145–1154. 2011. View Article : Google Scholar : PubMed/NCBI

14 

Pereira F, Carneiro J and Amorim A: Identification of species with DNA-based technology: Current progress and challenges. Recent Pat DNA Gene Seq. 2:187–199. 2008. View Article : Google Scholar : PubMed/NCBI

15 

Huang A, Li JW, Shen ZQ, Wang XW and Jin M: High-throughput identification of clinical pathogenic fungi by hybridization to an oligonucleotide microarray. J Clin Microbiol. 44:3299–3305. 2006. View Article : Google Scholar : PubMed/NCBI

16 

Nicholson P, Simpson DR, Weston G, Rezanoor HN, Lees AK, Parry DW and Joyce D: Detection and quantification of Fusarium culmorum and Fusarium graminearum in cereals using PCR assays. Physiol Mol Plant Pathol. 53:17–37. 1998. View Article : Google Scholar

17 

O'Donnell K, Cigelnik E and Nirenberg HI: Molecular systematics and phylogeography of the Gibberella fujikuroi species complex. Mycologia. 90:465–493. 1998. View Article : Google Scholar

18 

Paterson RRM: Identification and quantification of mycotoxigenic fungi by PCR. Process Biochem. 71:1467–1474. 2006. View Article : Google Scholar

19 

Ferrer C, Colom F, Frasés S, Mulet E, Abad JL and Alió JL: Detection and identification of fungal pathogens by PCR and by ITS2 and 5.8S ribosomal DNA typing in ocular infections. J Clin Microbiol. 39:2873–2879. 2001. View Article : Google Scholar : PubMed/NCBI

20 

Mirete S, Patiño B, Vázquez C, Jiménez M, Hinojo MJ, Soldevilla C and González-Jaén MT: Fumonisin production by Gibberella fujikuroi strains from Pinus species. Int J Food Microbiol. 89:213–221. 2003. View Article : Google Scholar : PubMed/NCBI

21 

González-Salgado A, Patño B, Vázquez C and González-Jaén MT: Discrimination of Aspergillus niger and other Aspergillus species belonging to section Nigri by PCR assays. FEMS Microbiol Lett. 245:353–361. 2005. View Article : Google Scholar : PubMed/NCBI

22 

Kizis D, Natskoulis P, Nychas GJ and Panagou EZ: Biodiversity and ITS-RFLP characterisation of Aspergillus section Nigri isolates in grapes from four traditional grape-producing areas in Greece. PLoS One. 9:e939232014. View Article : Google Scholar : PubMed/NCBI

23 

Dubey SC, Tripathi A and Singh SR: ITS-RFLP fingerprinting and molecular marker for detection of Fusarium oxysporum f.sp. ciceris. Folia Microbiol (Praha). 55:629–634. 2010. View Article : Google Scholar : PubMed/NCBI

24 

Mohankumar M, Vijayasamundeeswari A, Karthikeyan M, Mathiyazhagan S, Paranidharan V and Velazhahan R: Analysis of molecular variability among isolates of Aspergillus flavus by PCR-RFLP of the its regions of rDNA. J Plant Prot Res. 50:446–451. 2010. View Article : Google Scholar

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Zarrin M and Zarrin M: Molecular variation analysis of Aspergillus flavus using polymerase chain reaction-restriction fragment length polymorphism of the internal transcribed spacer rDNA region. Exp Ther Med 12: 1628-1632, 2016
APA
Zarrin, M., & Zarrin, M. (2016). Molecular variation analysis of Aspergillus flavus using polymerase chain reaction-restriction fragment length polymorphism of the internal transcribed spacer rDNA region. Experimental and Therapeutic Medicine, 12, 1628-1632. https://doi.org/10.3892/etm.2016.3479
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Zarrin, M., Erfaninejad, M."Molecular variation analysis of Aspergillus flavus using polymerase chain reaction-restriction fragment length polymorphism of the internal transcribed spacer rDNA region". Experimental and Therapeutic Medicine 12.3 (2016): 1628-1632.
Chicago
Zarrin, M., Erfaninejad, M."Molecular variation analysis of Aspergillus flavus using polymerase chain reaction-restriction fragment length polymorphism of the internal transcribed spacer rDNA region". Experimental and Therapeutic Medicine 12, no. 3 (2016): 1628-1632. https://doi.org/10.3892/etm.2016.3479