Out of fifty-two Iranian nonaflatoxigenic strains of Aspergillus flavus,collected from various substrates (soil and kernel) and sources (peanut, corn and pistachio), fifteen representatives were selected according to their different geographical origins (six provinces: Guilan and Golestan, Ardebil, Fars, Kerman and Semnan) and vegetative compatibility groups (VCGs, IR1 to IR15) for microsatellite-primed PCR analysis. Two inter-simple sequence repeat (ISSR) primers AFMPP and AFM13 were used to determine polymorphism and the relationship among strain isolates. A. flavus isolates were identified by their morphologies and their identities were confirmed by PCR amplification using the specific primer pair ITS1 and ITS4. The results revealed variations in the percentages of polymorphisms. In the ISSR analysis, primers AFMPP and AFM13 generated a total of 18 and 23 amplicons among the fungal strains, out of which 12 (66.7%) and 22 (95.7%) were polymorphic, respectively. Cluster analysis of the ISSR data was carried out using 1 D DNA gel image analysis. The two dendrograms obtained through these markers showed six different clusterings of testing nonaflatoxigenic A. flavus L strains, but we noticed that some clusters were different in some cases. The microsatellite-primed PCR data revealed that the Iranian nonaflatoxigenic isolates of A. flavus were not clustered according to their origins and sources. This study is the first to characterize Iranian nonaflatoxigenic isolates of A. flavus using ISSR markers.
Out of fifty-two Iranian nonaflatoxigenic strains of Aspergillus flavus,collected from various substrates (soil and kernel) and sources (peanut, corn and pistachio), fifteen representatives were selected according to their different geographical origins (six provinces: Guilan and Golestan, Ardebil, Fars, Kerman and Semnan) and vegetative compatibility groups (VCGs, IR1 to IR15) for microsatellite-primed PCR analysis. Two inter-simple sequence repeat (ISSR) primers AFMPP and AFM13 were used to determine polymorphism and the relationship among strain isolates. A. flavus isolates were identified by their morphologies and their identities were confirmed by PCR amplification using the specific primer pair ITS1 and ITS4. The results revealed variations in the percentages of polymorphisms. In the ISSR analysis, primers AFMPP and AFM13 generated a total of 18 and 23 amplicons among the fungal strains, out of which 12 (66.7%) and 22 (95.7%) were polymorphic, respectively. Cluster analysis of the ISSR data was carried out using 1 D DNA gel image analysis. The two dendrograms obtained through these markers showed six different clusterings of testing nonaflatoxigenic A. flavus L strains, but we noticed that some clusters were different in some cases. The microsatellite-primed PCR data revealed that the Iranian nonaflatoxigenic isolates of A. flavus were not clustered according to their origins and sources. This study is the first to characterize Iranian nonaflatoxigenic isolates of A. flavus using ISSR markers.
Aspergillus flavus Link. ex Fries, a haploid organism found worldwide in a variety of crops, including maize, cottonseed, almond, pistachio and peanut, causes substantial and recurrent worldwide economic liabilities [1, 2]. This filamentous fungus produces aflatoxins (AFLs) B1 and B2, which are among the most carcinogenic, acutely hepatotoxic and immunosuppressive compounds found in nature [3-5]. Recent efforts to reduce AFL contamination in crops have focused on the use of nonaflatoxigenicA. flavus isolates as biological control agents.Taxonomically, A. flavus belongs to the Aspergillus genus of the section Flavi [6, 7]. Molecular biology has offered several insights into the detection and genetic relationships of fungal isolates from their DNA sequences, taxonomy, population structure and the epidemiology associated with them [8]. Various molecular methods have been used for the detection of Aspergillus from environmental and clinical samples [9-11]. Targets for the genus level detection of Aspergillus have included the 18S rRNA gene, mitochondrial DNA, the intergenic spacer region, and the internal transcribed spacer (ITS) regions. Ribosomal RNA (rRNA) genes in ribosomal DNA possess characteristics that are suitable for the detection of pathogens at the species level [12]. These rDNA sequences are highly stable and exhibit a mosaic of conserved and diverse regions within the genome [13]. They also occur in multiple copies with up to 200 copies per haploid genome arranged in tandem repeats [8], each consisting of the 18S small subunit (SSU), the 5.8S, and the 28S large subunit (LSU) genes. ITS primers 1 and 4 have been used to amplify the entire 5.8S rRNA gene, both ITS regions I and II, and a portion of the 18S small-subunit rRNA gene.In recent years, there has been vast progress in the development of molecular biology tools and technologies [3,13-16]. Inter-simple sequence repeat (ISSR) is based on the amplification of regions(100-3000 bp) between inversely oriented, closely spaced microsatellites by primers (25-30 bp) consisting of several simple sequence repeats [17]. These primers anneal to simple-sequence repeats (microsatellites) that are abundant throughout the eukaryotic genome and evolve rapidly [16,18-19]. Prior knowledge of the DNA sequence of the genome to be analyzed is not required for primer design [20]. However, since there is a lot of diversity among fungi, primers that work for one may not work for another. Hence, ISSR primers need to be optimized for each species [21].Microsatellite loci with di- to hexanucleotide repeats and 1000-bp flanking sequences were identified from the genome sequence of A. flavus NRRL3357 (http://www.aspergillusflavus.org/) using Tandem Repeats Finder version 4.00 [22]. Molecular typing of A. flavus using microsatellites yields multiple advantages such as high discriminatory power, high reproducibility and easy exchange of the results [14]. It is reported that the ISSR sequences as molecular markers that can lead to the detection of polymorphism, which is a new approach to study SSR distribution and frequency [23].The specific aims of this work were to: 1. examine genetic relatedness among nonaflatoxigenic isolates of A. flavus belongIng to three Iranian pistachio, peanut and maize populations, and 2. assess polymorphisms among nonaflatoxigenic isolates of A. flavus using PCR amplification of ISSR molecular markers.
MATERIALS AND METHODS
Fungal strain: Out of fifty-two nonaflatoxigenic isolates of Aspergillus flavus from three populations of A. flavus (peanut, maize and pistachio) isolated from different geographical origins (Guilan, Golestan, Ardebil, Fars, Kerman andSemnan provinces) and substrates (soil and kernel) (data not shown), 3, 7 and 5 representatives were randomly selected according to their vegetative compatibility groups (VCGs, IR1 to IR15) for microsatellite-primed PCR (MP-PCR) analysis (Table 1). Strain isolates were stored as spore suspensions in 20% glycerol at -20ºC. All strains had already been characterized for their aflatoxigenic ability after the mycelium collection yeast extract sucrose broths were analyzed by HPLC, to confirm AF production. This test is important because AF production is extremely dependent on growth conditions; it was, therefore, important to determine aflatoxigenic ability under current test conditions. Using specific primer pairs ITS1 and ITS4 as described previously [24],allA. flavus strains were identified and confirmed based on amplifications of internal transcribed spacers (ITS) of ribosomal DNA (rDNA) by polymerase chain reaction (PCR) combined with sequencing of the amplicons [25,26].
Table 1
Monospore isolates used to evaluate polymorphisms in nonaflatoxigenicisolates of Aspergillus flavus, substrate, vegetative compatibility group (VCG) and geographical origin
Strain isolate
Substrate
VCG
Geographical origin
IRP-049
Soil/pistachio orchard
IR1
Rafsangan/Kerman province
IRP-107
Soil/ pistachio orchard
IR2
Rafsangan/Kerman province
IRP-082
Soil/ pistachio orchard
IR3
Damghan/Semnan province
IRP-144
Soil/ pistachio orchard
IR4
Damghan/Semnan province
IRG-075
Soil/Peanut field
IR5
Minoodasht,Golestan province
IRG-129
Soil/ Peanut field
IR6
Astane-e Ashrafieh/Guilan province
IRM-074
Soil/Maize field
IR7
Darab/Fars province
IRM-193
Soil/ Maize field
IR8
Fasa/Fars province
IRM-014
Soil/ Maize field
IR9
Pars Abad/Ardebil province
IRM-211
Soil/ Maize field
IR10
Pars Abad/Ardebil province
IRP-179
Kernel/ pistachio orchard
IR11
Rafsangan/Kerman province
IRG-517
Kernel/ Peanut field
IR12
Astane-e Ashrafieh/Guilan province
IRM-031
Soil/ Maize field
IR13
Pars Abad/Ardebil province
IRM-041
Kernel/ Maize field
IR14
Darab/Fars province
IRM-081
Kernel/ Maize field
IR15
Darab/Fars province
DNA extraction: Total DNA was extracted from themycelia of fungal isolates obtained from 7-day-old cultures grown in YES liquid media according to Prabha et al. (2012) with minor modifications [27]. Briefly, mycelia were collected by vacuum filtration, ground into a fine powder in liquid N2 and stored at -20°C. The frozen powder was then suspended in a 500 μl TES buffer (200 mM Tris-HCl, pH 7.5; 25 mM EDTA and 250 mM NaCl and 0.5% SDS), vortexed for 5 sec and incubated at 65 °C for 10 min. The reaction mixture was centrifuged at 13,000 rpm for 1 min and DNA was extracted with phenol/chloroform (1:1). DNA was then precipitated in 300 μl of cold iso-propanol and incubated for 30 min at –20°C and recovered by centrifugation at 13,000 rpm for 5 min.Afterwards, the pellet was washed with 70% cold ethanol and dried for 15 min at 37°C. Finally, the isolated DNA was resuspended in 50 μl of sterile distilled water and stored at -20°C. DNA concentration was measured spectrophotometrically with a NanoDrop Spectrophotomer ND-1000. DNA quality was also examined by running on 1.2% gel agarose for 75 min at 80 V, after which the gel was exposed to UV light. The presence of a highly resolved high molecular weight band and absence of smear confirmed the good quality of DNA.Molecular
identification of : Identification of A. flavus using an Internal transcribed spacer (ITS) was conducted.Primer pairs (ITS1 and ITS4, Table 2) were derived from the ITS1-5.8S-ITS4 region [24]. PCR amplification was carried out in a 25 µl reaction mixture (Table 3) in a Biometra Thermal Cycler (T1 thermocycler; Biometra, Göttingen, Germany). The PCR product was analyzed by electrophoresis in 1.2% agarose gel stained with DNA green viewer dye (greenGel stain,10 mg/ml) and visualized with the UVsolo TS gel documentation system (Biometra).
Table 2
Primer, target gene, sequence and expected PCR product size
Primers
Region
Primer sequences (5ʹ3ʹ )
Annealing temp. (°C)
PCR productSize (bp)
ITS1ITS4
ITS
TCCGTAGGTGAACCTGCGGTCCTCCGCTTATTGATATGC
58
600
Table 3
PCR reaction mixture for amplification of the ITS region
Final concentrations (volume)
Reaction mixture
1X (2.5µl)
PCR buffer
50 mM (1 µl)
MgCl2
10 pmol/µl (1.5 µl)
Primer
2.5 mM/l(2 µl)
dNTPs
5 U/µl
Taq DNA polymerase
20 ng/µl (2 µl)
Template DNA
14.3 µl
D.D.W
25 µl
Total
Monospore isolates used to evaluate polymorphisms in nonaflatoxigenicisolates of Aspergillus flavus, substrate, vegetative compatibility group (VCG) and geographical originPrimer, target gene, sequence and expected PCR product sizePCR reaction mixture for amplification of the ITS regionMicrosatellite-primed PCR and electrophoresis: Two ISSR primers that included AFMPP and AFM13 and showed more polymorphisms in previous studies were used [11, 22, 28,29] (Table 4). The genomic DNA sample was amplified using ISSR primers in a 25 µl reaction mixture containing PCR Buffer 1X, 0.2 µM ISSR primers, 3 mM MgCl2, 1 unit Taq DNA polymerase and 50 ng of the template DNA sample. The PCR was carried out in a Biometra Thermal Cycler (T1 thermocycler; Biometra, Göttingen, Germany) with the following profile: initial heating at 93°C for 5 min, thirty cycles of denaturation at 93°C for 30 s, annealing at 45°C for 1 min, extension at 72°C for 1.5 min and a final extension period at 72°C for 5 min. The result of each amplification reaction was analyzed on 2% agarose gel in a TBE buffer 1X (pH 8) and run at 80 V.Amplified fragments were then visualized using an ultraviolet transilluminator(UVsolo TS gel documentation system, Biometra) and compared with a 100 bp DNA size marker (Fermentas).
Table 4
List of ISSR primer sequences and their annealing temperatures (Ta)
Primers
Repeat motifs
Primer sequences (5´ 3´)
Ta (°C)
AFMPP
(GACA)4
GACAGACAGACAGACA
30.7
AFM13
(GTG)5
GAGGGTGGCGGTTCT
47.4
List of ISSR primer sequences and their annealing temperatures (Ta)Data analysis: The internal transcribed spacer (ITS) region, ITS 1–5.8S–ITS 2, from nonaflatoxigenic isolates of A. flavus were amplified, sequenced, and compared with the reference strain sequence in GenBank. Gel images from ISSR-PCR fingerprint patterns of genomic DNAs were analyzed using 1D DNA gel image analysis software (TotalLab v2, Nonlinear Dynamics, Newcastle upon Tyne, UK) and dendrograms were constructed. The allele size was calculated using Alpha Imagersoftware [30]. The ladder in which all alleles were absent was used as an outgroup for dendrogram rooting.
RESULTS AND DISCUSSION
ITS amplicons from A. flavus strains were600 bpin size. Comparison of the reference strain and the GenBank sequence demonstrated that both ITS 1 and ITS 2 regions were needed for the accurate identification ofA. flavus. ISSR profiles and allele sizes at ISSR markers AFM13 and AFMPP resulting from the analyses of Iranian nonaflatoxigenic strains of A. flavus are shown in Figures 1 and 2 and Tables 5 and 6, respectively.
Figure 1
ISSR-PCR fingerprint pattern of genomic DNAs isolation from different nonaflatoxigenic isolates of Aspergillus flavus generated using primer ISSR M13. Lanes 1-15 were IRP49, IRP107, IRP179, IRP82, IRM41, IRM193, IRM74, IRP144, IRM81, IRM31, IRM14, IRM211, IRG129, IRG517, IRG75, respectively. M: molecular-weight marker (100 bp DNA ladder
Figure 2
ISSR-PCR fingerprint pattern of genomic DNAs isolation from different nonaflatoxigenic isolates of Aspergillus flavus generated using primer ISSR MPP.Lanes 1-15 were IRP49, IRP107, IRP179, IRP82, IRM41, IRM193, IRM74, IRP144, IRM81, IRM31, IRM14, IRM211, IRG129, IRG517, IRG75, respectively. M: molecular-weight marker (100 bp DNA ladder
Table 5
Allele size of Aspergillus flavus at microsatellite marker AFM13 resulting from the analysis of nonaflatoxigenic isolates of Aspergillus flavus from Iran
Allele size of Aspergillus flavus at microsatellite marker AFMPP resulting from the analysis of nonaflatoxigenic isolates of Aspergillus flavus from Iran
ISSR-PCR fingerprint pattern of genomic DNAs isolation from different nonaflatoxigenic isolates of Aspergillus flavus generated using primer ISSR M13. Lanes 1-15 were IRP49, IRP107, IRP179, IRP82, IRM41, IRM193, IRM74, IRP144, IRM81, IRM31, IRM14, IRM211, IRG129, IRG517, IRG75, respectively. M: molecular-weight marker (100 bp DNA ladderISSR-PCR fingerprint pattern of genomic DNAs isolation from different nonaflatoxigenic isolates of Aspergillus flavus generated using primer ISSR MPP.Lanes 1-15 were IRP49, IRP107, IRP179, IRP82, IRM41, IRM193, IRM74, IRP144, IRM81, IRM31, IRM14, IRM211, IRG129, IRG517, IRG75, respectively. M: molecular-weight marker (100 bp DNA ladderAllele size of Aspergillus flavus at microsatellite marker AFM13 resulting from the analysis of nonaflatoxigenic isolates of Aspergillus flavus from IranNote:Lanes 1-15 were IRP49, IRP107, IRP179, IRP82, IRM41, IRM193, IRM74, IRP144, IRM81, IRM31, IRM14, IRM211, IRG129, IRG517, IRG75, respectively.ISSR marker polymorphism: The characteristics of ISSR marker polymorphisms are shown in Table 7. The percentages of polymorphic fragments for AFM13 and AFMPP were 95.7% and 66.7%, respectively. At the population level, the percentage of polymorphic bands from AFMPP ranged from 0% to 44.4%, and the average value was 25.9%.
Table 7
Characteristics of ISSR marker polymorphisms
Primer sequence
No. of fragments
No. of polymorphic fragments
% polymorphic fragments
Product sizerange (bp)
(GACA) 4
18
12
66.7
312-920
(GTG) 5
23
22
95.7
475-953
Allele size of Aspergillus flavus at microsatellite marker AFMPP resulting from the analysis of nonaflatoxigenic isolates of Aspergillus flavus from IranNote:Lanes 1-15 were IRP49, IRP107, IRP179, IRP82, IRM41, IRM193, IRM74, IRP144, IRM81, IRM31, IRM14, IRM211, IRG129, IRG517, IRG75, respectivelyCharacteristics of ISSR marker polymorphismsPhylogenetic analysis: Polymorphic fragments were used for the statistical interpretation of phylogenetic relations (Total Lab 120, UVP soft). Figures 3 and 4 show the dendrograms constructed using cluster analysis. Genetic similarities (x-axis) are expressed as 0–1. AFM13 and AFMPP initially split all fifteen nonaflatoxigenic isolates of A. flavus into two main groups (I and II) at 3.8% and 3.1% genetic similarities, respectively (Figures 3 and 4).
Figure 3
Dendrogram showing clustering of Iranian nonaflatoxigenic isolatesof A. flavusbased on genetic similarities in PCR reactions using ISSR primer AFM13. The two main groups formed are shown under I and II. Strain isolates with highest genetic similarities (more than 80%), are indicated by the letters A, B, C and D.(Ladder=Outgroup).
Figure 4
Dendrogram showing clustering of Iranian nonaflatoxigenic isolates of A. flavusbased on genetic similarities in PCR reactions using ISSR primer AFMPP. The two main groups formed are shown under I and II. Strain isolates with highest genetic similarities (more than 80%), are indicated by the letters A, B, C and D.(Ladder=Outgroup
The larger primer groups AFM13 and AFMPP comprised two and three subgroups, respectively, each spliting further into six smaller groups (I-VI) containing one to four A. flavus strain isolate(s) (Figures 3 and 4). Otherwise, using ISSR primers AFM13 and AFMPP, the fifteen strain isolates belonging to three populations of Iranian nonaflatoxigenic isolates of A. flavus from pistachio, maize and peanut were separated and placed into six distinct clusters based on genetic similarities (Figures 3 and 4).Dendrogram showing clustering of Iranian nonaflatoxigenic isolatesof A. flavusbased on genetic similarities in PCR reactions using ISSR primer AFM13. The two main groups formed are shown under I and II. Strain isolates with highest genetic similarities (more than 80%), are indicated by the letters A, B, C and D.(Ladder=Outgroup).Dendrogram showing clustering of Iranian nonaflatoxigenic isolates of A. flavusbased on genetic similarities in PCR reactions using ISSR primer AFMPP. The two main groups formed are shown under I and II. Strain isolates with highest genetic similarities (more than 80%), are indicated by the letters A, B, C and D.(Ladder=OutgroupIn the present study, a method to identify A. flavus strain isolateswas developed using the 18S and 28S rRNA genes for primer binding sites. rDNA has been utilized by many investigators for species determination in a wide variety of yeasts and fungi [31-33]. In this research, 15 nonaflatoxigenic strains of A. flavus belonging to different substrates, geographical regions and VCGs were analyzed to determine the degree of polymorphism. The ISSR marker was identified by PCR amplification of DNA using primer pairs composed of microsatellite sequences that may be anchored at the 3'or 5' end of 2 to 4 arbitrary and often degenerate nucleotides [34,35]. The results indicated that to amplify ISSR sequences in DNA extracted from nonaflatoxigenic isolatesof A. flavus,ISSR primers AFMPP and AFM13 produced positive results from the PCR trials. ISSR, which is a dominant marker, has greaterrobustness in repeatabilityand high variability [36]. The two ISSR primers (AFMPP and AFM13) produced a series of discrete bands of different intensities at annealing temperatures 30.7°Cand 47.4°C. Several isolates had similar banding patterns such as thosein lanes 1 and 4 (strain isolates IRP49 and IRP82) and lanes 5 to 13 (strain isolates IRM41, IRM193, IRM74, IRP144, IRM81, IRM31, IRM14, IRM211, IRG129) in the AFMPP profile.Altogether, the ISSR primers AFM13 and AFMPP generated 232 and 135 polymorphic bands ranging from 337 bp to 953 bp and 312 bp to 920 bp across fifteen strain isolates, respectively. Of the 23 and 18 ISSR discernible bands from primers AFM13 and AFMPP, 22 and 12 were polymorphic, respectively.The Iranian nonaflatoxigenic isolates exhibited a high level of polymorphism, which was reflected in the number and percentage of polymorphic loci. Because of its simple technology and high level of polymorphism, microsatellite-primed PCR has been widely used for population genetic studies [22,37-39]. They produce different numbers of DNA fragments, depending on their simple sequence repeat motifs. In the current study, it was found that the ISSR AFM13 (GTG)5 tested was more polymorphic among our nonaflatoxigenic isolates. ISSR analysis aims at studying the polymorphism of highly repetitive genome regions [39,40]. The percentage of polymorphic bands from AFM13 ranged from 23.1% to 69.9%, and the average value was 45.5%. Usually, ISSR primers based on di- and tri- nucleotide repeats reveal high polymorphisms [41,42] which was also found to be true for the present study. Hatti et al. (2010) reported an average of 9.33 polymorphic bands per ISSR primer [43]. In contrast, Batista et al. (2008) showed high genetic variability among strains of A. flavus and other species of the A. flavus group by using the ISSR marker [28]. They showed that the (GACA)4 primer yielded a higher polymorphism as compared to (GTG)5.In our study, some polymorphic bands appeared more than once across the different strain isolates. Primers based on a repeat sequence and the resulting PCR reaction amplify the sequence between two ISSRs, yielding a multilocus marker system [43]. The dendrogram analysis for AFM13 showed that cluster II was comprised of IRM74, IRM193, IRM144 and IRM81isolates, while cluster III contained IRM41, IRM31, IRP179 and IRM14 isolates. Clusters IV and V possessed IRP107, IRM211 and IRP49, IRG129, IRG75 isolates, respectively. Strain isolates IRP82 and IRG517 grouped into clusters I and VI, respectively, showed their separate identities in comparison with other isolates. Although ISSRs are mostly random-type markers, they are thought to be highly useful for genetic diversity and phylogenetic studies [18].For the ISSR primer AFMPP, cluster II comprised of IRP49, IRP107 and IRP179, while cluster III contained IRM193 and IRP144 isolates. Clusters IV and V possessed IRM41, IRM74, IRM81 and IRP82, IRM14, IRM31, IRM211 isolates, respectively. Strain isolates IRG517 and IRG75, IRG129 grouped into clusters I and VI, respectively, showed their separate identities in comparison with other isolates. Therefore, it can be concluded that ISSR markers could be used to study population structure amongA. flavus and related species [12,28,29,44].The similarity for maize (IRM193, IRM144, IRP41, IRM31, IRM14 and IRP179) and peanut strain isolates (IRG517 and IRG129) reached over 80% for the ISSR primer AFM13. Likewise, the similarity for maize (IRM193, IRP144, IRM41, IRM74 and IRM14) and peanut strain isolates (IRP179, IRG517 and IRG129) reached over 80% for the ISSR primer AFMPP. According to previous studies, ISSR markers have been used to determine similarity and dissimilarity between aflatoxigenic and nonaflatoxigenic isolates of A. flavus [43].Similar to Yin et al. (2009) who showed that the toxigenic and atoxigenic isolates of A. flavus, collected from peanut fields, were not clustered based on their regions, ability of aflatoxin and sclerotial production [33], in the present study, the analysis of microsatellite-primed PCR data showed that Iranian nonaflatoxigenic isolates of the A. flavus were also not clustered based on their geographical origins and substrates. To the researchers’ knowledge, this is the first study of population analysis of nonaflatoxigenic isolates of A. flavus based on microsatellite-primed PCR in Iran.Biological variability and the management of genetic variation within a species is a commonly recognized value in natural resources administration. Two primers, AFM13 and AFMPP gave reproducible banding profiles for most Iranian nonaflatoxigenic isolates of A. flavus tested. In this study, the ISSRs exposed significant numbers of polymorphisms, providing indication of A. flavus variability. Each of the two ISSR primers revealed a relatively high intra-species variability among the A. flavus isolates with considerable variation in morphological features. ISSR has an advantage over randomly amplified polymorphic DNA (RAPD) because its primers are longer, allowing for higher annealing temperatures that apparently provide a higher reproducibility of fragments than RAPD. Cluster analysis of the ISSR data divided the isolates of A. flavus to groups. The different subgroups formed by each primer were indicative of intra-species variability. The ecological nichemay be used to explain how the several groups of A. flavus strain isolates were formed by the ISSR primers.The varying similarity ranges within strain isolates of the A. flavus could also be a result of isolates that share a host range and/or ecological niche. Population genetics data can provide valuable information, often unattainable via other approaches, for monitoring species of management, conservation and ecological interest. Our experiments have demonstrated that ISSR analysis is a powerful tool for the identification of polymorphisms in Iranian nonaflatoxigenic isolates of A. flavus. Whilst this technique gives useful information, several other ISSR primers are needed for more reliable results.
Authors: H Einsele; H Hebart; G Roller; J Löffler; I Rothenhofer; C A Müller; R A Bowden; J van Burik; D Engelhard; L Kanz; U Schumacher Journal: J Clin Microbiol Date: 1997-06 Impact factor: 5.948
Authors: I Hadrich; F Makni; H Sellami; F Cheikhrouhou; A Sellami; H Bouaziz; S Hdiji; M Elloumi; A Ayadi Journal: Mycoses Date: 2009-06-04 Impact factor: 4.377