Document Type : Original Article
Authors
1 Department of Biology, College of Science, Yazd University, Yazd, Iran
2 Department of Plant Protection, Faculty of Agriculture, University of Zabol, Zabol, Iran
Abstract
Keywords
Main Subjects
INTRODUCTION
Dieback of pistachio (Pistacia vera L.) is one of the most important, destructive and threatening diseases of Iran pistachio orchards. The disease affects different parts of the tree such as branch and trunk. Dieback of pistachios was first reported in 1987 in Iran (Aminaei 1987). Beside its plant pathogenic activity, it is also associated with many types of human infections (Abbas et al. 2009). Hyphomycosis disease in human caused by two species of Paecilomyces lilacinus and P. variotii (Houbraken et al. 2008).
At this time, the majority of studies on phylogeny of Paecilomyces species using molecular markers have been performed on entomopathogenic species (Dalleau–Clouet et al. 2005; Luangsa–ard et al. 2004). Recently, researchers have attempted to find out more information about the relationships between the different species of Paecilomyces, especiallyinsect–pathogen species. Genetic similarities in unidentified isolates of P. fumosoroseus and some selected strains were observed using ITS and RAPD markers (Azevedo et al. 2000). Arbitrarily primed PCR and PCR with tRNA consensus primers have been used to analyse genetic variability among P. fumosoroseus isolates (Tigano–Milani et al. 1995).
The conserved sequence of rDNA–ITS regions has been used for molecular phylogenetic analysis of fungi (Kiss 1997; Nilsson et al. 2008). Sequence variation within the ribosomal DNA region has been used extensively for the phylogenetic analysis of both closely related and distantly related organisms (White et al. 1990). This can also provide an alternative approach to RAPD–PCR and tRNA–PCR for both the estimation of genetic diversity and the determination of phylogenetic relationships. Furthermore, the fast–evolving ITS region has been found to be a powerful tool for characterization of most fungal bio–control agents (Avis et al. 2001).
Ribosomal genes evolve cohesively within a single species and exhibit only limited sequence divergence between rDNA copies. In contrast, comparison between species showed normal levels of sequence divergence (Arnheim et al. 1980). There is not enough information about the genetic variability of this species in the literatures.
The aim of the present study was to investigate the genetic diversity among P. variotii isolates of different geo–climatic regions from Kerman province, using ITS and RFLP analysis.
MATERIALS AND METHODS
Sampling
Samples were collected from different pistachio farms of Kerman province in Iran during 2011–2012 (Fig. 1). Sampling area were divided to seven geographical zone based on GPS information (Table1).
The infected branches showing necrosis symptom were cut, kept in nylon pockets and transferred immediately to the refrigerator at 20 °C.
Fig. 1. The location of sampling regions on map of Karman province, Iran. Sampling regions are indicated by black filled circle.
Isolation and purification of isolates
The small pieces from the central core of infected barks of pistachio branches were surface–sterilized with 3% chloramine T (Sigma Co., Germany) and were placed on PDA (potato dextrose agar; Merck, Germany) culture medium for fungal growth at 22–25 °C for one week (Ebrahimi et al. 2015). Purification of fungal isolates was conducted by the hyphal–tip method and fungal identification at the genus/species level was carried out by morphological criteria (Brown & Smith 1957; Hoog et al. 2000; Samson 1974). Out of 116 P. variotii isolates, 28 selected isolates were recovered from all sampling region (four isolates from each region) which showed that typical species characters were selected to assess genetic diversity for further analysis.
DNA extraction
A piece of ten–day–old fungal colony on PDA medium was transferred to 100 mL Erlenmeyer flasks containing 200 mL of PDB liquid medium (Merck, Germany). The flasks were placed on a rotary shaker (120 rpm min–1) for eight days at 25 °C and then the mycelia were harvested by filtering. Total genomic DNA was extracted from dried mycelium using the CTAB method (Nicholson et al. 1997). Total DNA was quantified using a Scanodrop 200 (Analytik Jena, Germany) spectrophotometer and the concentration of DNA was adjusted to 25 ng.µL–1 for use in PCR assay. DNA quality was assessed by 1% agarose gel electrophoresis stained by ethidium bromide.
Table 1. Code number, Location and geographic position calculated by GPS of Paecilomyces variotii isolates used in this study.
Isolate |
Sampling Region |
GPS |
|
N |
E |
||
Z1 |
Zarand |
30 39' 42.14" |
57 01' 46.25" |
Z2 |
Zarand |
30 57' 07.39" |
56 35' 40.68" |
Z3 |
Zarand |
30 57' 07.39" |
56 35' 40.68" |
Z4 |
Zarand |
30 38' 33.35" |
56 20' 10.92" |
X1 |
Ravar |
31 15' 30.83" |
56 50' 09.42" |
X2 |
Ravar |
31 16' 05.86" |
56 46' 59.4279" |
X3 |
Ravar |
31 18' 27.95" |
56 48' 07.77" |
X4 |
Ravar |
31 18' 59.72" |
56 50' 24.26" |
S1 |
Sirjan |
31 32' 05.23" |
55 36' 08.30" |
S2 |
Sirjan |
31 37' 54.37" |
55 27 20.46" |
S3 |
Sirjan |
31 25' 50.97" |
55 40' 24.03" |
S4 |
Sirjan |
29 35' 53.51" |
55 31' 18.85" |
R1 |
Rafsanjan |
30 25' 57.05" |
55 57' 05.44" |
R2 |
Rafsanjan |
30 26' 32.12" |
55 32' 58.26" |
R3 |
Rafsanjan |
30 26' 32.12" |
55 32' 58.26" |
R4 |
Kerman |
30 11'40.46" |
56̊ 45'55.95" |
K1 |
Kerman |
3011'17.15" |
56̊ 48'55.96" |
K2 |
Kerman |
30 09'49.73" |
56̊ 45'19.07" |
K3 |
Kerman |
30 11'34.71" |
56̊ 42'09.63" |
K4 |
Kerman |
30 14' 10.91" |
56 37' 42.42" |
B1 |
Bardsir |
29 57' 57.37" |
56 30' 27.46" |
B2 |
Bardsir |
29 51' 10. 76" |
56 37' 11.18" |
B3 |
Bardsir |
29 47' 52. 57" |
56 41' 44.67" |
B4 |
Bardsir |
29 51' 12. 22" |
56 33' 08.89" |
T1 |
Tahrood |
28 41' 24. 25" |
59 02' 47.30" |
T2 |
Tahrood |
28 41' 23. 84" |
59 01' 59.44" |
T3 |
Tahrood |
28 41' 11. 57" |
59 02' 20.84" |
T4 |
Tahrood |
28 40' 46. 57" |
59 05' 28.77" |
DNA amplification
Primers TW81 (5′–GTTCCGTAGGTGAACCTG C–3′) and AB28 (5′–TATGCTTAAGTTCAGCGG GT–3′) were used to amplify the ITS–rDNA region (White et al., 1990). Amplification were carried out in volumes of 25 μL containing: 1 μL of genomic DNA (25 ng), 1.5 μL of 10×buffer PCR (100 mM Tris–HCl, 15 mM MgCl2, 500 mM KCl, pH 8), 1 μL of MgCl2 (50 mM), 0.25 μl of dNTPs (100 mM),
5U Master Taq DNA polymerase (Genall, Sout Korea), and 25 μL of each primer (20 mM). The PCR reaction was performed with the following steps: an initial denaturation step at 95 °C for 5 min, 35 cycles at 95 °C (30 s)/56 °C (60 s)/72 °C (60 s), and a final extension step at 72 °C for 10 min. A negative control deleting DNA template was used in every set of reactions. PCR products were separated by electrophoresis on 1.2% agarose gels stained with ethidium bromide (0.5 µg.mL–1) and photographed under UV light.
PCR–RFLP analysis
The PCR products were purified using the PCR purification kit (Genall, South Korea,) for the PCR–RFLP analysis. Thirteen restriction enzymes including EcoR I, Hpyf 3I, Hinf I, Msp I, Apa I, Mbo I, Pst I, Not I, Rsa I, Dra I, BamH I, Hind III, and Mse I (SinaClon, Iran) were used to digest ITS–rDNA PCR products. Ten units of each enzyme, with a total volume of 15 μL were used in the reaction. The reaction was incubated for 18 h at 37 °C.
Genetic diversity
ITS–RFLP patterns were used to estimate similarities among the isolates. Restriction–enzyme digests were used to generate ITS–RFLPs. For this purpose, each DNA band formed by the digestion in RFLP analysis was considered to be a character, and only the presence or absence of RFLPs fragments was recorded. A dendrogram was constructed from the resulting distance matrix using the Unweighted Pair Group Method with Arithmetic Mean Algorithms (UPGMA) and genetics similarity determined using Jaccard's similarity coefficient (Sneath & Sokal, 1973). The software PopGene 32 was used to perform the distance analysis (Kumar et al. 2008).ThePAUP version 0.4.0 beta program was used for phylogenetic analysis of the various data sets (Swofford, 2003). Genetic variations within and between populations was estimated by analysis of molecular variance (AMOVA) performed with GenALEX version 6.1.
Sequencing
Both strands of each PCR products were sequenced by PishgamBiotech Company (Tehran, Iran). DNA sequences were queried using the NCBI stand–alone BlastAll program (Altschul 1990) against the NCBI non–redundant (nr) protein reference library, Swissprot version 6, UniProt and UniRef100. Sequence similarities above 90% with an E value less than 1E–10 were considered as statistically significant positive matches. Deposited sequences were retrieved from GenBank. The obtained sequences were aligned with a rDNA–ITS sequence of P. variotti isolates in gene bank using the Clustal W program, version 1.81 (Thompson et al. 2002).
RESULTS
Identification of fungal isolates
All recovered fungal isolates from infected twigs were identified by morphological criteria using valid mycology keys. One hundred sixteen isolates out of 180 were identified as Paecilomyces variotii. After two weeks growth, the isolates showed a brown or yellow– brownish colour on the surface of solid medium. A powdery yellow–brownish colony with a high growth rate at 25 °C and 37 °C was observed on PDA medium. Single–celled and hyaline conidia were born in chains with the youngest cell at the base of conidiophores. The phialides were swollen at the base and gradually taper to a sharp point at the tip. To confirm morphological diagnosis, the sequences of five represented isolates from different geographic regions were queried against data base. Analysis of alignment showed a high similarity of our sequences (96–99%) with deposited sequences of P.variotii in geneBank (Table 2, Fig. 2).
Polymorphism of ITS–RFLP patterns
Amplification of the region from the 3´ end of the 18S rDNA to the 5´ end of the 28S of rDNA resulted in an approximately 600–800 base pair (bp) fragment (Fig. 2). The ITS1–ITS2 amplicons were subjected to digestion with thirteen different restriction enzymes. Seven out of the 13 restriction endonuclease (EcoR І, Hpyf 3І, Apa І, Hinf І, Mbo І, Msp І, showed restriction pattern. No restriction sites were found when DNA was treated with Rsa І, Not І, Pst І, BamH І and Hind ІІІ. The banding patterns obtained with restriction endonuclease digestion, the number and the size of the fragments from 28 P. variotii isolates are characterized in Table 3. Based on resulted patterns of digested PCR products, all isolates were divided into three distinct groups. The sixteen isolates from various graphic regions (Ravar, Sirjan, Rafsanjan and Kerman) were clustered in group 1 based on ITS–RFLP patterns. Group 2 consisted of 8 isolates originated from diverse geographic locations representing four isolates from Zarand, two isolates from Bardsir and two isolates from Tahroud origins and group 3 contain three isolates from two different geographical regions including Bardsir (2 isolates) and Tahroud (one isolates) isolates ( Table 3).
The enzyme BamH1 digested the fragment, but showed no polymorphisms among isolates. The highest number of restricted fragment was obtained for the Aps I enzyme, whereas the EcoR I and Msp І showed the lowest digestion. The Mbo І enzyme revealed a higher variety and the Msp І enzyme showed a low diversity among isolates. The maximum number of nucleic acid band ranged from 45 – 325 was obtained for Aps I pattern (Table 3).
The Mbo I and Msp I enzymes revealed the highest and lowest values for Hc (0.453 and 0.347 respectively. The highest (0.644) and lowest (0.525) Id values were obtained for Mbo I and Msp 1 (Table 4). Cluster analysis using NTSYSpc software (version 2.2) based on the Jaccard’s coefficient showed that all isolates were divided to nine separate groups with a high similarity value of 70%. Isolates were grouped into nine clusters designated from A to I. Isolates of group A–B and group D–E contain isolates from Zarand and Rafsanjan regions with similarity value of 66% and 50% respectively. Other isolates were placed in a distinct group (C, D, E, F, I) (Fig. 4).
Table 2. Similarity percentage of studied isolates of Paecilomyces variotii with deposited sequences in GeneBank
Isolate |
Percent of BLAST |
Isolate in NCBI |
Accssion number |
Z2 |
96% |
Paecilomyces variotii SUMS0303 |
FJ011547.1 |
X3 |
98% |
Paecilomyces variotii BCC 14365 |
AY753332.1 |
R1 |
97% |
Paecilomyces variotii KUC5015 |
GQ241284.1 |
K2 |
98% |
Paecilomyces variotii isolate 15 |
FJ895878.1 |
B3 |
99% |
Paecilomyces variotii SCSGAF0038 |
JN850996.1 |
Analysis of molecular variance showed a high proportion of total variation is supported by variability (85%) among isolates and less proportionately (15%) within isolates (Table 5).
SUMS0303 TGGAAGTAAAAGTCGTAACAAGGTTTCCGTAGGTGAACCTGCGGAA-GGATCATTACCGA 59
KUC5015 ------------TCGTAACAAGGTTTCCGTAGGTGAACCTGCGGAA-GGATCATTACCGA 47
BCC14365 -------------------------------------------GAA-GGATCATTACCGA 16
Z2 -----------------------GTTCCGTAGGTGAACCTGCGGAA-GGATCATTGCAGC 36
B3 -----------------------GTTCCGTAGGTGAACCTGCGGAA-GGATCGTAAACCT 36
K2 -----------------------GTTCCGTAGGTGAACCTGCGGAA-GGATCATTACCAC 36
X3 -----------------------GTTCCGTAGGTGAACCTGCGGAAAGGATCATTACCGA 37
R1 -----------------------GTTCCGTAGGTGAACCTGCGGAA-GGATCATTACCGA 36
Isolate15 --------------------------TCCGTAGGTGAACCTGCGGAAGGATCATTACCGA 34
SCSGAF0038 ------------------------------------------------------TACCGG 6
SUMS0303 GTGAGGGTCC-CACGAGGCCCAACCTCCCATCCGTGTTG-AACTACACCTGTTGCTTCGG 117
KUC5015 GTGAGGGTCC-CACGAGGCCCAACCTCCCATCCGTGTTG-AACTACACCTGTTGCTTCGG 105
BCC14365 GTGAGGGTCC--ACGAGGCCCAACCTCCCATCCGTGTTG-AACTACACCTGTTGCTTCGG 73
Z2 GTGCGGGACC-CACGCAGATACACCCTCCACCCGTGTTATAACTACACCTGTTGCTTCGG 95
B3 GCGTGGGTCT-CATGAGTGACAATGCTGCATCCGTGTTG-AACTACACCTGTTGCTTCGG 94
K2 GGGCTGGTCCACGCAGAGAAGAACCTCCCATCCGTGTTG-AACTACACCTGTTGCTTCGG 95
X3 GTGAGGGTCA-CGCATATACCAACCTCCCATCCGTGTTG-AACTACACCTGTTGCTTCGG 95
R1 GTGAGGGTCC-CACGAGGCCCAACCTCCCATCCGTGTTGGAACTACACCTGTTGCTTCGG 95
Isolate15 GTGAGGGTCC-CTCGAGGCCCAACCTCCCATCCGTGTTG-AACTACACCTGTTGCTTCGG 92
SCSGAF0038 ATTAGA--TC-CACGAG--CTAACCTCC-ATCCGTGTTG-AACTACACCTGTTGCTTCGG 59
SUMS0303 CGGGCCCGCCGTGGTTCACGCCCGGCCGCCGGGGGGCCTTGTGCTCCCGGGCCCGCGCCC 177
KUC5015 CGGGCCCGCCGTGGTTCACGCCCGGCCGCCGGGGGGCCTTGTGCTCCCGGGTCCGCGCCC 165
BCC14365 CGGGCCCGCCGTGGTTCACGCCCGGCCGCCGGGGGGCCTTGTGCCCCCGGGCCCGCGCTC 133
Z2 CGGGCCCGTCGAGGTTCACGCCCGGCCGCCGGGGGGCCTTGTGCCCCCGGGCCCGCGCCC 155
B3 CGGGCCCGCCGTGGTTCACGCCCGGCCGCCGGGGGGCCTTGTGCCCCCGGGCCCGCGCCC 154
K2 CGGGCCCGCCGTGGTTCACGCCCGGCCGCCGGGGGGCCTTGTGCCCCCGGGCCCGCGCCC 155
X3 CGGGCCCGCCGTGGTTCACGCCCGGCCGCCGGGGGGCCTTGTGCCCCCGGGCCCGCGCCC 155
R1 CGGGCCCGCCGTGGTTCACGCCCGGCCGCCGGGGGGCCTTGTGCCCCCGGGCCCGCGCCC 155
Isolate15 CGGGCCCGCCGTGGTTCACGCCCGGCCGCCGGGGGGCCTTGTGCTCCCGGGCCCGCGCCC 152
SCSGAF0038 CGGGCCCGCCGTGGTTCACGCCCGGCCGCCGGGGGGCCTTGTGCCCCCGGGCCCGCGCCC 119
SUMS0303 GCCGAAGACCCCTCGAACGCTGCCCTGAAGGTTGCCGTCTGAGTATAAAATCAATCATTA 237
KUC5015 GCCGAAGACCCCTCGAACGCTGCCCTGAAGGTTGCCGTCTGAGTATAAAATCAATCATTA 225
BCC14365 GCCGAAGACCCCTCGAACGCTGCCCTGAAGGTTGCCGTCTGAGTATAAAATCAATCATTA 193
Z2 GCCGAAGACCCCTCGAACGCTGCCCTGAAGGTTGCCGTCTGAGTATAAAATCAATCATTA 215
B3 GCCGAAGACCCCTCGAACGCTGCCCTGAAGGTTGCCGTCTGAGTATAAAATCAATCATTA 214
K2 GCCGAAGACCCCTCGAACGCTGCCCTGAAGGTTGCCGTCTGAGTATAAAATCAATCATTA 215
X3 GCCGAAGACCCCTCGAACGCTGCCCTGAAGGTTGCCGTCTGAGTATAAAATCAATCATTA 215
R1 GCCGAAGACCCCTCGAACGCTGCCCTGAAGGTTGCCGTCTGAGTATAAAATCAATCATTA 215
Isolate15 GCCGAAGACCCCTCGAACGCTGCCCTGAAGGTTGCCGTCTGAGTATAAAATCAATCATTA 212
SCSGAF0038 GCCGAAGACCCCTCGAACGCTGCCCTGAAGGTTGCCGTCTGAGTATAAAATCAATCGTTA 179
SUMS0303 AAACTTTCAACAACGGATCTCTTGGTTCCGGCATCGATGAAGAACGCAGCGAAATGCGAT 297
KUC5015 AAACTTTCAACAACGGATCTCTTGGTTCCGGCATCGATGAAGAACGCAGCGAAATGCGAT 285
BCC14365 AAACTTTCAACAACGGATCTCTTGGTTCCGGCATCGATGAAGAACGCAGCGAAATGCGAT 253
Z2 AAACTTTCAACAACGGATCTCTTGGTTCCGGCATCGATGAAGAACGCAGCGAAATGCGAT 275
B3 AAACTTTCAACAACGGATCTCTTGGTTCCGGCATCGATGAAGAACGCAGCGAAATGCGAT 274
K2 AAACTTTCAACAACGGATCTCTTGGTTCCGGCATCGATGAAGAACGCAGCGAAATGCGAT 275
X3 AAACTTTCAACAACGGATCTCTTGGTTCCGGCATCGATGAAGAACGCAGCGAAATGCGAT 275
R1 AAACTTTCAACAACGGATCTCTTGGTTCCGGCATCGATGAAGAACGCAGCGAAATGCGAT 275
Isolate15 AAACTTTCAACAACGGATCTCTTGGTTCCGGCATCGATGAAGAACGCAGCGAAATGCGAT 272
SCSGAF0038 AAACTTTCAACAACGGATCTCTTGGTTCCGGCATCGATGAAGAACGCAGCGAAATGCGAT 239
SUMS0303 AAGTAATGTGAATTGCAGAATTCCGTGAATCATCGAATCTTTGAACGCACATTGCGCCCC 357
KUC5015 AAGTAATGTGAATTGCAGAATTCCGTGAATCATCGAATCTTTGAACGCACATTGCGCCCC 345
BCC14365 AAGTAATGTGAATTGCAGAATTCCGTGAATCATCGAATCTTTGAACGCACATTGCGCCCC 313
Z2 AAGTAATGTGAATTGCAGAATTCCGTGAATCATCGAATCTTTGAACGCACATTGCGCCCC 335
B3 AAGTAATGTGAATTGCAGAATTCCGTGAATCATCGAATCTTTGAACGCACATTGCGCCCC 334
K2 AAGTAATGTGAATTGCAGAATTCCGTGAATCATCGAATCTTTGAACGCACATTGCGCCCC 335
X3 AAGTAATGTGAATTGCAGAATTCCGTGAATCATCGAATCTTTGAACGCACATTGCGCCCC 335
R1 AAGTAATGTGAATTGCAGAATTCCGTGAATCATCGAATCTTTGAACGCACATTGCGCCCC 335
Isolate15 AAGTAATGTGAATTGCAGAATTCCGTGAATCATCGAATCTTTGAACGCACATTGCGCCCC 332
SCSGAF0038 AAGTAATGTGAATTGCAGAATTCCGTGAATCATCGAATCTTTGAACGCACATTGCGCCCC 299
Fig. 2. A part of sequence alignment showing high similarity between the studied sequences of Paecilomyces variotii isolates and deposited sequences of this specie in GeneBank.
Table 3. Patterns within the Paecilomyces variotii rDNA–ITS–rDNA region after digestion with EcoR І, Hpyf 3 І, Apa І, Hinf І, Mbo І, Msp І, Mse І restriction endonucleases.
Restriction fragment length (bp) |
Isolate |
||||||
MseІ |
Msp І |
Mbo І |
Hinf І |
Apa І |
Hpyf 3І |
EcoR І |
|
210,380 |
105 |
95,210,230 |
280,305 |
45,90,165,285 |
190,350 |
295 |
ZARAND 1–1 |
210,380 |
105 |
95,210,230 |
280,305 |
45,90,165,285 |
190,350 |
295 |
ZARAND2–2 |
210,380 |
105 |
95,210,230 |
280,305 |
45,90,165,285 |
190,350 |
295 |
ZARAND3–3 |
210,380 |
105 |
95,210,230 |
280,305 |
45,90,165,285 |
190,350 |
295 |
ZARAND4–4 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
RAVAR1–5 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
RAVAR2–6 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
RAVAR3–7 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
RAVAR4–8 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
SIRJAN1–9 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
SIRJAN2–10 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
SIRJAN3–11 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
SIRJAN4–12 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
RAFSANJAN1–13 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
RAFSANJAN2–14 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
RAFSANJAN3–15 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
RAFSANJAN4–16 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
KERMAN1–17 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
KERMAN2–18 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
KERMAN3–19 |
210,385 |
120 |
105,205,225 |
285,305 |
55,100,160,290 |
195,345 |
290 |
KERMAN4–20 |
205,370 |
120 |
95,205,225 |
275,300,425 |
50,100,160, ,325 |
190,350 |
290,295 |
BARDSIR1–21 |
205,370 |
120 |
95,205,225 |
275,300 |
50,100,160,290 |
190,350 |
290,295 |
BARDSIR2–22 |
205,370 |
120 |
95,205,225 |
275,300 |
45,100,160,290 |
190,350 |
290,295 |
BARDSIR3–23 |
205,370 |
120 |
95,205,225 |
275,300 |
45,100,160,290 |
190,350 |
290,295 |
BARDSIR4–24 |
205,370 |
120 |
95,205,225 |
275,300,425 |
50,100,160, ,325 |
190,350 |
290,295 |
TAHROD1–25 |
205,370 |
120 |
95,205,225 |
275,300 |
50,100,160,290 |
190,350 |
290,295 |
TAHROUD2–26 |
205,370 |
120 |
95,205,225 |
275,300 |
50,100,160,290 |
190,350 |
290,295 |
TAHROUD3–27 |
205,370 |
120 |
95,205,225 |
275,300,425 |
50,100,160,290,325 |
190,350 |
290,295 |
TAHROD4–28 |
Table 4. Genetic diversity indices of Paecilomyces variotii isolates.
Id |
He |
Ne |
Na |
N |
Enzyme |
0.576 |
0.393 |
1.696 |
2 |
28 |
EcoR 1 |
0.643 |
0.453 |
1.847 |
2 |
28 |
Hinf 1 |
0.618 |
0.428 |
1.766 |
2 |
28 |
Hpyf 31 |
0.644 |
0.454 |
1.867 |
2 |
28 |
Mbo 1 |
0.525 |
0.347 |
1.575 |
2 |
28 |
Msp 1 |
0.605 |
0.416 |
1.737 |
2 |
28 |
Apa 1 |
0.586 |
0.401 |
1.717 |
2 |
28 |
Mse 1 |
0.605 |
0.418 |
1.755 |
2 |
28 |
Mean |
Na: Number of different alleles; Ne: Number of effective alleles; He: Nei's Unbiased Expected Heterozygosity. Id: Shannon Index
Fig. 3. ITS–RFLP pattern of represented Paecilomyces variotti isolates using restriction enzymes. Apa І (a); Mbo I (b); Mse I (c) and Hpyf3 I (d). Lin 1: R3; Line 2; R4; Line 3:K1; Line 4: K2; Line 5: K3; Line 6: K4; Line 7: B1; Line 8: B2; Line 9: B3; Line 10: B4; Line 11: T1; Line 12: T2; Line 13: T3; Line: 14:T4; wm, Molecular sizes in Kilobases are indicated on the right and left; Un, Negative control.
Fig. 4. Dendrogram constructed from analysis of DNA fragments 28 Paecilomyces variotii isolates amplified by PCR–RFLPP. The matrix was created with the Jacard similarity coefficient, and clustering was performed with UPGMA algorithm.
Table 5. Analysis of molecular variance of P. variotii isolates.
% |
Est. Var. |
MS |
SS |
Df |
Source |
85% |
8.342 |
34.845 |
209.071 |
6 |
Among Pops |
15% |
1.476 |
1.476 |
31.000 |
21 |
Within Pops |
100% |
9.817 |
|
240.71 |
27 |
Total |
Discussion
The genus Paecilomyces represents a wide spread species reported as a pathogen of many different insects, plants and human. This genus has been divided in two sections: Paecilomyces and Isarioidea (Samson 1974). Classification of the genus Paecilomyces was based on morphological characteristics, such as conidial and chain of conidiophores form, however was often highly subjective and lead to obscure identifications at the level of species (D'Alessandro et al., 2014). Using molecular markers such as ITS– rDNA, B–tubulin gene and the elongation factor 1–alpha (EF1–a) combined to morphological criteria have been used for the molecular characterization at the level of species (Kis e al., 1997; Tanabe et al., 2004; Rostami et al., 2015(. In this study, we firstly isolated different fungal genera from infected pistachio trees included Paecilomyces، Stemphyllium, Alternaria, Nattrasia, Bipolaris, Trichoderma, Chaetomium, Fusarium and Cytospora. Of 180 fungal isolates, 166 isolates were morphologically identified as Paecilomyes varioti species. Secondly, the genetic diversity of some selected isolates from different regions sampling was assayed to illustrate the genetic relation between different populations.
Analysis of ITS–RFLP patterns revealed a high level of polymorphism within isolates morphologically classed as Paecilomyces variotii. The analysis of ITS–RFLP profiles generated by restriction endonucleases enzymes enabled a clustering of Paecilomyces variotii isolates. Furthermore, the sequence data and the resulting phylogenetic dendrogram using the maximum of parsimony method strongly supported the conclusions of the ITS–RFLP analysis (data non–showed).
Fargus et al. (2002) found that Hae III alone could be used in polymorphism detection and discrimination of all isolates of Paecilomyces spp, P. fumosoroseus and P. tenuipes; however, in our study this enzyme did not allow to restrict genome of studied isolates. The patterns within the rDNA–ITS region of P. variotii after digestion with seven enzymes showed different restricted–fragment ranges. For the EcoR I and Msp I enzymes, we observed only one band, while other enzymes were able to restrict PCR products with more than one band (Table 3).The analysis of ITS–RFLP profiles generated by a limited number of endonucleases enabled a clustering of P. variotii isolates. ITS–RFLP and RAPD marker have been used to molecular characterization of 7 Paecilomyces fumosoroseus, 5 Paecilomyces sp. and 5 Paecilomyces tenuipes isolates from different countries (Azevedo et al., 2000). Molecular analysis showed that similarity among five unidentified isolates and strains of P. fumosoroseus was higher than other reference species as P. tenuipes. These results were expected because similar isolates were isolatedfrom the same pathogenesis phase in studied area. Our results are in agreement with those showing a closely related genetic similarity among isolates from same geographical regions. In this study, the amplified band resulting from the PCR was determined in 600 base pair (bp) long and as a single band. Our result is approximately in accordance with the results of Fargus et al. (2002), who showed that the multiplication of the same fragment in P. fumosoroseus isolates in the range of 670 bp produced a single band. Amplication of RDNA–ITSregions was done by using the same primers in study ofFargus et al. (2002). Genetic variability within 48 P. fumosoroseus isolates collected from different geographical origins was evaluated using rDNA–ITS marker.
Genetic variability among Paecilomyces fumosoroseus isolates from various geographical and host insect origins based on the rDNA–ITS regions showed a high level of polymorphism within the P. fumosoroseus isolates (Fargues et al., 2002). The genetic diversity of 20 isolates of P. variotii in Kerman province was investigated based on pathogenicity tests, sampling area, and genetic diversity using microsatellite marker (SSR) and the results, showed that there is no special relationship between the genetic groups and origin of the isolates (Ebrahimi & Sabbagh, 2012). Our results are not in concordance with these results. This disagreement could be caused by the different markers used and the lack of information on the whole genome of fungi genera. DNA restriction fragment polymorphispm (RFLP) has been widely used in human and some plant genetic (Michelmore &Hulbert, 1987) and is the most common DNA technique to define multilocus genotypes for population studies of fungi (Rosendahl & Taylor, 1997).
For the first time, study of population structure of Mycosphaerella was thoroughly done by McDonald and Martinez (1990). Their results encouraged other researchers to use of RFLP in thorough studies of other plant pathogenic fungi, such as Fusarium (Gordon et al., 1992), Sclerotinia (Kohn 1995), and Crypphonectria (Milgroom et al., 1996).
Using molecular marker; PCR–RFLP and RAPD to genetic diversity study of some isolates of Macrophomina phaseolina showed that RAPD marker is more efficient than RFLP marker (Bakhshi et al., 2010). However, investigation of genetic diversity of Macrophomina phaseolina isolatescausal agent of root rot of cluster bean by Purkayastha et al. (2008) showed that RFLP marker is an enforceable marker to assay genetic diversity in these isolates. Occurrence of parasexual phenomen could increase reliability of this marker to study of genetic variety in fungi with this phenomen. Dispersion of fungi units to new ecological niches could influence biological cycles and adaptation to new hosts. In entomopathogenic Paecilomyces, it has been suggested that the mobility of dispersion units (spores) has a major influence on the life strategy of species of this genera; so host range, geographical distribution and genetic variability deriving could be affected (Oborník et al., 2000). Our results also suggest no relationship between genetic diversity and transmittance of fungal isolates and the distance of different geographical regions of Kerman province. In other works, increasing or decreasing the distance between two regions did not influence the similarity rate or genetic diversity of the studied isolates (Ebrahimi et al., 2015).
The elongation factor 1–alpha (EF1–a) and ITS1–5.8S–ITS2 regions have been used to molecular phylogeny study of Isaria spp. strains (Ascomycota: Hypocreales). Based on obtained results, these markers were found to be powerful tools to improve the characterization, identification, and phylogenetic relationship of the Isaria strains and other entomopathogenic fungi (D'Alessandro et al., 2011). Based on our results, it can be concluded that beside of using ITS –RFLP marker for molecular phylogeny and genetic diversity studies, diagnostics of group level using these marker could be easily developed for epidemiological and ecological studies of distantly related isolates of P. variotii, as has been done for P. fumosoroseus isolates (Fargues et al., 2002).
High genetic diversity of isolates from different region could be resulted to increase risk of compatibility of isolates to change of environmental condition and so, affect the disease controlling methods. Knowledge of structural genetics of plant pathogenic fungal will be a useful tool for plant breeding programs and prevent of new isolates from other regions or countries. Regarding to prevalent of Dieback disease of pistachio in Iran, and little information about structural genetic of this fungus, we propose a range–wide genetic assessment of Paecilomyces species in different pistachio cultured zones. The future studies could be performed to develop new molecular markers to detect this fungus in field.
ACKNOWLEDGEMENTS
This work was done in institute of plant biotechnology in university of Zabol, Iran. Here, we thank Mrs. Hamideh Khajeh to help us for technical support. Authors declare that the experiments comply with the current laws of Iranian ministry of Science, Research and Technology.