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ارزیابی تنوع ژنتیکی ارقام انار ایران (Punica granatum L.) با استفاده از نشانگرهای RAPD و ISSR | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
تاکسونومی و بیوسیستماتیک | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
مقاله 6، دوره 3، شماره 8، آذر 1390، صفحه 35-44 اصل مقاله (228.08 K) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
نویسندگان | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
مجید طالبی بدف* 1؛ مسعود بهار1؛ بهرام شریف نبی1؛ احد یامچی2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1گروه بیوتکنولوژی، دانشکده کشاورزی، دانشگاه صنعتی اصفهان، اصفهان، ایران | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2دانشگاه علوم کشاورزی و منابع طبیعی گرگان | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
چکیده | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
با توجه به تنوع بالای مورفولوژیکی در ارقام انار ایران، تنوع ژنتیکی 24 رقم انار با استفاده از نشانگرهای RAPD و ISSR مورد بررسی قرار گرفت. آغازگرهای RAPD در مجموع 131 قطعه DNA تکثیر نمودند که 29 قطعه آنها (14/22 درصد) چندشکل بودند. آغازگرهای ISSR نیز از مجموع 173 قطعه تکثیر شده، 29 (37 درصد) چندشکلی حاصل نمودند. میانگین محتوای اطلاعات چندشکل (PIC) برای آغازگرهای RAPD و ISSR به ترتیب 128/0 و 163/0 به دست آمد. نتایج نشان داد که نشانگرهای ISSR در مقایسه با نشانگرهای RAPD الگوی نواری تکرارپذیری ایجاد میکنند و برای گروهبندی ارقام انار مؤثرترند. ضریب شباهت بین ارقام از 353/0 تا یک (RAPD) و 291/0 تا 930/0 (ISSR) متغیر بود و میانگین آن در نشانگرهای RAPD و ISSR به ترتیب 604/0 و 647/0 گزارش شد. تجزیه واریانس مولکولی (AMOVA) در دادههای RAPD و ISSR اختلاف معنیداری بین نواحی مختلف جغرافیایی و طعم میوه ارقام مورد مطالعه نشان نداد (05/0P>) که بیانگر عدم ارتباط تنوع جغرافیایی و تنوع ژنتیکی است. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
کلیدواژهها | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Punica granatum؛ تنوع ژنتیکی؛ انار؛ RAPD؛ ISSR | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
اصل مقاله | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
IntroductionPomegranate (Punica granatum L.) belongs to Punicaceae family and is an important fruit tree of tropical and subtropical regions of the world which is valued highly for its delicious edible fruits. In addition, the tree is also cultivated for its pharmaceutical and ornamental usages (Levin, 1994). The pomegranate tree has a wide geographical distribution that spreads from Iran to the Himalayas in northern India, and has been cultivated since ancient times throughout the Mediterranean regions of Asia, Africa and Europe (Levin, 1994). Pomegranate may be classified according to the acidity of its fruit into sour, sour-sweet or sweet. Development of highly reliable and discriminatory methods have become increasingly important to plant breeders for identifying cultivars and to those in the nursery industry who need sensitive tools to differentiate and identify cultivars for plant patent protection (Wunsch and Hormaza,2002). In the past, cultivars were identified primarily based on horticultural, morphological and physiological descriptions. In most cases, the descriptions and measurements varied considerably due to environmental fluctuation and differences human judgment. Differences in DNA sequence among individuals could be detected by different methods. Almost all kind of DNA markers can be used for fingerprinting fruit tree species (Wunsch and Hormaza,2002). The Random Amplified Polymorphic DNA (RAPD) technique (Williams et al., 1990) based on the Polymerase Chain Reaction (PCR) has been used to detect polymorphism in some species (Williams et al., 1990). Thus, the RAPD technique can generate polymorphisms between very closely related genotypes. Since 1990, RAPD markers have been successfully used to identify cultivars and/or clones of various plant species (Belaj et al., 2001; Besnard et al., 2001; Claros et al., 2001; Ozden-Tokatli et al., 2010; Takeda et al., 1998). also, Inter-simple sequence repeat (ISSR) amplification is a technique which can rapidly differentiate closely related individuals (Zietkiewicz et al., 1994). ISSR markers involve PCR amplification of DNA using a single primer composed of a microsatellite sequence such as (CA)8 anchored at the 3' or 5' end by 2-4 arbitrary, often degenerate nucleotides. The sequences of repeats and anchored nucleotides are randomly selected. Coupled with the separation of amplifications products on a polyacrylamide gel, ISSR amplification can reveal a higher number of fragments per primer than RAPD. ISSR markers have been used for cultivar identification and for genetic relationship studies in various plant species (Awasthi et al., 2004; Martin and Sanchez-Yelamo, 2000; Weiguo et al., 2007). Although a wide range of morphological and physiological characters show variabilities in the pomegranate, molecular studies of the pomegranate have been restricted to examinations of RAPD (Dorgac et al., 2008; Zamani et al., 2007; Sarkhosh et al., 2009), ISSR (Talebi Bedaf et al., 2005), AFLP (Jbir et al., 2008; Rahimi et al., 2006) and SSR (Koohi-Dehkordi et al., 2007; Ebrahimi et al., 2010; Pirseyedi et al., 2010) to investigate the population dynamics of economically important cultivars. To meet various breeding programs and to conserve the existing genetic resources of pomegranate, the objectives of this study were to assess the levels of polymorphisms detected by RAPD and ISSR markers, comparison of information content the marker systems and using them to identify 24 Iranian pomegranate cultivars.
Materials and Methods Plant materials and DNA extraction Twenty four cultivars of P. granatum were collected from Agricultural Research Center of Yazd province, Yazd, Iran. The selection of cultivars was based on the acidity of fruits and the morphological characteristics, such as color and shape of fruit (Table 1). Total DNA was extracted from young leaves following the CTAB (Hexadecyltrimethylammonium bromide) method described by Murray and Thompson (1980) with modifications. The purified total DNA was quantified by agarose gel electrophoresis and its quality was verified by spectrophotometry. DNA samples were diluted to 25ng/μl and stored at -20 ºC.
Table 1: Iranian pomegranate genotypes included in the study
RAPD assay One hundred-four 10mer oligonucleotide primers among sets A, B, C, AC, AD, AE, P and S (Operon technologies, Inc, USA), AJ, MG and UBC (Roche Molecular Biochemicals, Germany) were used as single primers for DNA amplification and 13 of them were selected based on clear and reproducible banding patterns. The PCR was performed in a Genius (FGENO5TD) Thermal Cycler, in a 25μl volume containing of 2.5μl of 1X reaction buffer [100mM Tris-HCl, 15mM MgCl2, 500mM KCl, pH 8.3 (20ºC)], 0.5mM MgCl2, 200μM each of dNTPs (Roche, Germany), 0.4μM of 10mer primer, 0.75 units of Taq DNA polymerase (Roche, Germany) and 100ng of template DNA, overlaid with 25μl of sterile mineral oil. The amplification condition was: initial step of denaturation at 94ºC for 2 min followed by 40 cycles of denaturation at 92ºC for 1 min, primer annealing at 35ºC for 1 min and extension at 72ºC for 2 min, followed by an extended elongation step at 72ºC for 5 min. The amplification products were analysed on 1.2% MP agarose gel (Roche, Germany) in 1X TBE buffer running at 60 volts for three hours and stained in ethidium bromide (0.5mg/ml) and visualized under UV light and photographed. The DNA size marker used was 1Kb ladder (Life technologies).
ISSR assay A total of 15 primers were tested to amplify DNA from which six primers with considerable polymorphism and reproducibility were selected for further analysis (Table 2). PCR were performed in 15 μl volume consisted of 1X PCR buffer, 2mM MgCl2, 200 μM each of dNTPs, 1 μM primer, 1 U of Taq DNA polymerase (Roche, Germany), 2% formamide and 25 ng of template DNA. Each reaction mixture was overlaid with 25 μl of sterile mineral oil. Amplification was performed in a Genius (FGENO5TD) Thermal Cycler under the following conditions: 4 min at 94ºC for 1 cycle, followed by 30 s at 94ºC, 45 s at 52ºC, and 2 min at 72ºC for 30 cycle, and 5 min at 72ºC for a final extension. Amplification products were separated on 6% denaturing polyacrylamide gels containing 7 M Urea and 1X TBE buffer in Biometra sequencing gel (S2 model). Amplified DNA segments were detected using silver staining (Bassam et al., 1991).
Data analysis A marker index was calculated for the RAPD and ISSR markers to characterize the capacity of each primer to detect polymorphic loci among the cultivars. As such, the marker index was the sum of the polymorphism information content (PIC) values for all the selected markers produced by a particular primer. The PIC value was calculated using the formula PIC=1-Σpi2, where Pi is the frequency of the i allele (Smith et al., 1997). Only reproducible and clear bands in the replications were considered as potential polymorphic markers. The data obtained by scoring the presence (1) or absence (0) of amplified fragments from the RAPD, ISSR and also collective of marker profiles were subjected to the construction of a similarity matrix using Jaccard’s (Jaccard, 1908) coefficients of similarity. The matrices were then used for a cluster analysis. Sequential agglomerative hierarchical nonoverlapping (SAHN) clustering was performed using the unweighted pair group method with arithmetic averages (UPGMA), and then, the results were summarized as dendrograms using NTSYSpc software 2.02 (Raholf, 1998). The pertinency of the dendrograms to the original similarity matrix was calculated by computing the cophenetic values (rcoph) using the cophenetic (COPH) and matrix comparison (MXCOMP) modules of NTSYSpc. Finally, the frequency of occurrence of each marker in each cultivar was computed, to render a matrix of 24 cultivars by RAPD and ISSR markers. These matrices were afterward subjected to principal component analysis (PCA). Analysis of molecular variance (AMOVA) was performed to estimate variance components for RAPD and ISSR data and partitioning the variation into within and among local regions and acidity of cultivars, using Arlequin 3.1 software (Excoffier et al., 2005).
Results One hundred-four 10 mer RAPD primers were screened and among which 13 were chosen for their clear and reproducible band patterns (Table 2). The thirteen selected primers generated 131 RAPD fragments, an average of 10.08 bands per primer. The size of the amplified products ranged from 400 to 3,000 bp. The total number of polymorphic markers and percentage of polymorphism were 29 and 22.14%, respectively (Table 2). Primers OPAD02 and MG16 amplified maximum number of polymorphic bands. Primers OPAD02 and OPAE10 put out the highest level of distinguishable polymorphism. The PIC values, a reflection of the allele diversity and frequency among the cultivars, were not uniform with respect to for all the RAPD loci tested. The PIC values ranged from 0.012 (MG01) to 0.373 (OPAD02) with a mean of 0.128. The result showed that the minimum similarity (0.353) existed in the two local cultivars "Dom anbarouti" and "Poust syah yazdi" and the maximum similarity (1.00) occurred in the cultivars "Tab va larz" and "Bihasteh ladiz". The mean similarity index was 0.604. The data obtained from RAPD analysis of 24 pomegranate cultivars was subjected to UPGMA analysis. The cophenetic correlation coefficient (0.91) indicated little distortion between the original similarity values from the similarity matrix and the values used to construct the dendrogram. A cluster analysis was performed based on Jaccard’s similarity coefficient matrices, calculated from the RAPD markers. At the similarity of 59%, twenty cultivars were categorized in one group and the four remaining cultivars were placed in the separate groups (Figure 1a).
Figure 1: UPGMA dendrogram showing relations among Iranian pomegranate cultivars using RAPD (a) and ISSR (b) data and Jaccard's similarity coefficient.
Eighteen ISSR primers were initially tested using pomegranate DNA as single or combined. Three primers as single and three as combined were based on (AG)n, (GT)n, (GA)n, (AC)n, (CT)n or (CA)n repeats, each anchored by various nucleotides used in this study as polymorphic primers (Table 2). The six selected primers generated 173 fragments, an average of 28.83 bands per primer. The size of the amplified products ranged from 80 to 3,000 bp with the scoreable region being from 100 to 2,000 bp accordingly, and the total number of polymorphic markers and percentage of polymorphism were 64 and 36.99%, respectively (Table 2). In the case of the ISSR analysis, the mean PIC value was 0.163, and the lowest and highest PIC values were 0.099 (ISSR5 and ISSR6) and 0.257 (ISSR11), respectively. The similarity coefficients for 24 pomegranate cultivars based on the ISSR fragments ranged from 0.291 ("Dabbei sarjangal" and "Poust syah yazdi") to 0.930 ("Dom anbarouti" and "Golabi hasteh riz"). The mean similarity index was 0.674. Twenty four cultivars were clustered in five distinct groups at the similarity level of 65%, 19 of which were placed in one group (Figure 1b).
Table 2: RAPD and ISSR primers successfully used in this study and the number of total and polymorphic bands amplified in pomegranate cultivars.
The matrices for RAPD and ISSR markers were also compared using Mantel’s test (Mantel, 1967) for matrix correspondence. The correlation between the matrices of cophenetic values relating to the dendrograms based on RAPD and ISSR data was very low (r=0.02). The relationships among cultivars were initially defined by the first three principal vectors of the PCA, which together accounted for 65% (RAPD), 73% (ISSR) and 66% (RAPD+ISSR) of the total variation at the molecular level (data not shown).
Figure 2: UPGMA dendrogram of 24 pomegranate cultivars based on RAPD and ISSR pulled data and Jaccard's similarity coefficient. The similarity coefficients of 24 pomegranate cultivars based on 29 RAPD and 64 ISSR markers ranged from 0.338 ("Dabbei sarjangal" and "Poust syah yazdi") to 0.932 ("Bihasteh ladiz" and "Tab va larz"), and accordingly the mean similarity index value of the combined RAPD and ISSR was 0.655. A cluster analysis performed based on combination of the data for both markers, separated the cultivars into two distinct clusters. The first cluster included only two cultivars, whereas the second cluster was further divided into three subclusters. Among these subclusters, two local cultivars ("Poust syah yazdi" and "Goroch shahvar") were separated from other cultivars (Figure 2). AMOVA for RAPD and ISSR data indicated that there were no significant differences among the geographical regions and juice acidity of the used cultivars (P> 0.05).
Discussion Among markers, RAPD and ISSR are simple, which provide a quick screen for DNA polymorphism and very small amounts of DNA are required. In addition, information on template DNA sequence is not necessary. However, with respect to RAPD markers problems of reproducibility are reported (Muthusamy et al., 2008). In order to assure reproducibility, optimization of PCR reaction and also its repetition is essential. In this study, each RAPD analysis was repeated in separate experiments at least twice, and only reproducible markers were considered. ISSR primers consist of 17-19 nucleotides and optimization of annealing temperature is important. The choice of annealing temperature for further ISSR analysis is based on the complexity and reproducibility of banding patterns. The primers that were based on (AT)n or (TA)n repeats amplified no products at all. Possibly, this indicates that the pomegranate genome lacks, or else has very few of these two microsatellites, although Wang et al., 1994, reported that (AT)n was the most abundant microsatellite in plant nuclear genomes. Alternatively, lack of amplification products may be due to the self-complementary nature of (AT)n or (TA)n primers. In this study, when optimal conditions for PCR had been determined, reproducible patterns were obtained for both RAPD and ISSR assays. In general, among the set of accessions investigated, the efficiency of a molecular marker technique depends on the amount of polymorphism it can detect. In our study, ISSR fingerprinting was more efficient than the RAPD assay; it detected 37% polymorphic DNA markers among the 24 cultivars analyzed, compared with 22.14% for RAPD fingerprinting. Similar results were obtained for several other plant species (Galvan et al., 2003; Nkongolo et al., 2005; Qian et al., 2001; Raina et al., 2001). However, Fang and Roose (1997) showed that RAPD had a higher level of variation in Citrus spp.than ISSR, and Metais et al., (2000) demonstrated that the two techniques produced similar levels of polymorphism in Phaseolus vulgaris. The correlation between the matrices of cophenetic values for the dendrograms based on RAPD and ISSR data was also very low (r=0.02). It is probably due to the nature of different marker systems. RAPD markers cover the entire genome, revealing length polymorphisms in coding or noncoding and repeated or single-copy sequences (Williams et al., 1990), whereas, the origin of the amplification products in ISSR is known to be from the sequences between the two microsatellite sites (Zietkiewicz et al., 1994). Three first principle eigen vectors of the PCA, which together accounted for RAPD, ISSR and combined data showed high total variation at the molecular level, indicating the suitability of the RAPD and ISSR approaches for genetic clustering. Based on the pairwise analysis of the amplification products which were obtained with the 13 tested RAPD primers, all the tested pomegranate cultivars showed a very high similarity values. Different relationships were observed between various cultivars. "Bihasteh sangan", "Dom anbarouti" and "Golabi hasteh riz" were quite distinct from the rest of cultivars. "Tab va larz" and "Bihasteh ladiz" were clustered together and in the studied cultivars showed the highest average similarity value (similarity coefficient of 1.0) which indicates that although there are some morphological differences in fruit characteristics, these cultivars may probably be mutants of each other (Sarkhosh et al., 2009). All the remaining cultivars showed very limited differences, but sufficient to distinguish the different cultivars. Among the 24 cultivars analyzed with ISSR marker, four main groups were recognized by UPGMA based on Jaccard's similarity coefficient (Figure 1b). The first group contained "Poust syah yazdi", the second group included "Goroch shahvar" and "Vahshi narak sarvestan", the third group consisted of "Dabbei sarjangal" and "Kaleh gavi sangan", while all remaining cultivars formed the fourth group. "Vahshi narak sarvestan", "Dabbei sarjangal" and "Kaleh gavi sangan" were quite distinct from the rest of cultivars and were readily separated from other cultivars. These cultivars are wild and it seems that they differ from other cultivars, morphologically e.g. fruit size, fruit color, seed color and the taste. "Dom anbarouti" and "Golabi hasteh riz" grouped and showed the highest average similarity value among the studied cultivars. "Poust syah yazdi" cultivars that have a black bark as a distinguishable marker from the other cultivars, was separate in both RAPD and ISSR analysis. In total, ISSR analysis, was more efficient than RAPD analysis. A close genetic similarity was found in some of the cultivars analyzed as shown by high values of similarity index. Also, the similarities detected with ISSRs are greater than the similarities measured according to RAPD data. Fernandez et al., (2002) and Muthusamy et al., (2008) have studied barley cultivars and rice bean (Vigna umbellata) landraces, respectively, and they also found higher similarity index by ISSRs than by RAPDs. Observation of no significant difference among the geographical regions based on AMOVA for RAPD and ISSR data and the clustering pattern of cultivars revealed that there are no correlation between genetic diversity and geographic distances. In the study of RAPD profiles in Iranian pomegranates by Sarkhosh et al., (2009) and of AFLP profiles in Tunisian pomegranates by Jbir et al., (2008), the authors could not detect any correlation between provenance of the accessions and similarity or otherwise in the PCR profiles. This can be due to the exchange of plant materials across the regions during the history of pomegranate cultivation. In conclusion, both RAPD and ISSR are methods useful for revealing molecular relationships among pomegranate cultivars and ISSR markers exhibited higher levels of polymorphisms than RAPD. Relationships among these pomegranate cultivars revealed by ISSR markers were not generally in agreement grouping showed by RAPD markers.
Acknowledgments We are grateful to Seyed Ziaaddin Tabatabaei-Ardakani from Agricultural Research Center of Yazd province for providing pomegranate cultivars and all of the colleagues in biotechnology center of IUT.
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References Awasthi, A. K., Nagaraja, G. M., Naik, G. V. S., Thangavelu, K. and Nagaraju, J. (2004) Genetic diversity and relationships in mulberry (genus Morus) as revealed by RAPD and ISSR marker assays. BMC Genetics 5: 1. Bassam, B. J., Caetano-Anolles, G., Gresshoff, P. M. (1991) Fast and sensitive silver staining of DNA in polyacrylamide gels. Analytical Biochemistry 196: 80-83. Belaj, A., Trujillo, I., Rosa, R. D. L. and Rallo, L. (2001) Polymorphism and discrimination capacity of randomly amplified polymorphic markers in an olive germplasm bank. Journal of American Society of Horticultural Science 126: 64-71. Besnard, G., Baradat, P. and Berville, A. (2001) Genetic relationships in the olive (Olea europaea L.) reflect multilocal selection of cultivars. Theoretical and Applied Genetics 102: 251-258. Claros, M. G., Crespillo, R., Aguilar, M. L. and Canovas, F. M. (2001) DNA fingerprinting and classification of geographical related genotypes of olive tree (Olea europaea L.). Euphytica 116: 131-142. Durgac, C., Ozgen, M., Simsek, O., Kacar, Y. A., Kıyga, Y., Celebi, S., Gunduz, K. and Serce S (2008) Molecular and pomological diversity among pomegranate (Punica granatum L.) cultivars in Eastern Mediterranean region of Turkey. African Journal of Biotechnology 7: 1294-1301. Ebrahimi, S., Sayed-Tabatabaei, B. E. and Sharifnabi, B. (2010) Microsatellite isolation and characterization in pomegranate (Punica granatum L.). Iranian Journal of Biotechnology 8: 156-163 Excoffier, L., Laval, G. and Schneider, S. (2005) Arlequin ver. 3.0: An integrated software package for population genetics data analysis. Evolutionary Bioinformatics Online 1: 47-50. Fang, D. Q. and Roose, M. L. (1997) Identification of closely related citrus cultivars with inter-simple sequence repeat markers. Theoretical and Applied Genetics 95: 408-417. Fernandez, M.E., Figueiras, A.M. and Benito, C. (2002) The use of ISSR and RAPD markers for detecting DNA polymorphism, genotype identification and genetic diversity among barley cultivars with known origin.Theoretical and Applied Genetics 104: 845-851. Galvan, M. Z., Bornet, B., Balatti, P. A. and Branchard, M. (2003) Inter simple sequence repeat (ISSR) marker as a tool for the assessment of both genetic diversity and gene pool origin in common bean (Phaseolus vulgaris L.). Euphytica 132: 297-301. Jaccard, P. (1908) Nouvelles recherches sur la distribution florale. Bulletin de la Societe. Vaudoise des Sciences Naturelles 44: 223-270. Jbir, R., Hasnaoui, N., Mars, M., Marrakchi, M. and Trifi, M. (2008) Characterization of Tunisian pomegranate (Punica granatum) cultivars using amplified fragment length polymorphism analysis. Scientia Horticulturae 115: 231-237. Koohi-Dehkordi, M., Sayed-Tabatabaei, B. E., Yamchi, A. and Danesh-shahraki, A. (2007) Microsatellites markers in pomegranate. Acta Horticulture 760: 179-183. Levin, G.M. (1994) Pomegranate (Punica granatum) plant genetic resources in Turkmenistan.Plant Genetic Resource Newsletters 97: 31-36. Mantel, N. (1967) The detection of disease clustering and a generalized regression approach. Cancer Research 27: 209-220. Martin, J. P. and Sanchez-Yelamo, M. D. (2000) Genetic relationship among species of the genus Diplotaxis (Brassicaceae) using intersimple sequence repeat markers. Theoretical and Applied Genetics 101: 1234-1241. Metais, I., Aubry, C., Hamon, B., Jalouzot, R. and Peltier, D. (2000) Description and analysis of genetic diversity between commercial bean lines (Phaseolus vulgaris, L.). Theoretical and Applied Genetics 101: 1207–1214. Murray, M. G. and Thompson, W. F. (1980) Rapid isolation of high molecular weight plant DNA. Nucleic Acid Research 8: 4321-4325. Muthusamy, S., Kanagarajan, S. and Ponnusamy, S. (2008) Efficiency of RAPD and ISSR markers system in accessing genetic variation of rice bean (Vigna umbellata) landraces. Electronic Journal of Biotechnology 11(3). Nkongolo, K. K., Michael, P. and Demers, T. (2005) Application of ISSR, RAPD, and cytological markers to the certification of Picea mariana, P. glauca, and P. engelmannii trees, and their putative hybrids. Genome 48: 302-311. Ozden-Tokatli, Y., Akdemir, H., Tilkat, E. and Onay, A. (2010) Current status and conservation of Pistacia germplasm. Biotechnology Advances 28: 130-141. Pirseyedi, S. M., Valizadehghan, S., Mardi, M., Ghaffari, M. R., Mahmoodi, P., Zahravi, M., Zeinalabedini, M. and Khayam Nekoui, S. M. (2010) Isolation and Characterization of Novel Microsatellite Markers in Pomegranate (Punica granatum L.). International Journal of Molecular Science11: 2010-2016. Qian, W., Ge, S. and Hong, D. Y. (2001) Genetic variation within and among populations of a wild rice oryza granulate from China detected by RAPD and ISSR. Theoretical and Applied Genetics 102: 440-449. Rahimi, T., Sayed Tabatabaei, B. E., Sharifnabi, B. and Ghobadi, C. (2006) Genetic relationships between Iranian pomegranate (Punica granatum L.) cultivars, using Amplified Fragment Length Polymorphism (AFLP) marker. Iranian Journal of Agricultural Science 36: 1373-1379. Raina, S. N., Rani, V., Kojima, T., Ogihara, Y., Singh, K. P. and Devarumath, R. M. (2001) RAPD and ISSR fingerprints as useful genetic markers for analysis of genetic diversity, varietal identification, and phylogenetic relationships in peanut (Arachis hypogaea) cultivars and wild species. Genome 44: 763-772. Rohlf, F. J. (1998) NTSYS-PC Numerical Taxonomy and Multivariate Analysis System, Version 2.02. Exter Publications, Setauket, New York. Sarkhosh, A., Zamani, Z., Fatahi, R. and Ranjbar, H. (2009) Evaluation of genetic diversity among Iranian soft-seed pomegranate accessions by fruit characteristics and RAPD markers. Scientia Horticulturae 121: 313-319 Smith, J. S. C., Chin, E. C. L., Shu, H., Smith, O.S., Wall, S. J., Senior, M. L., Mitchell, S. E., Kresovich, S. and Zeigle, J. (1997) An evaluation of the utility of SSR loci as molecular markers in maize (Zea mays L.): Comparison with data from RFLPs and pedigree. Theoretical and Applied Genetics 95: 163-173. Takeda, T., Shimada, T., Nomura, K., Ozaki, T., Haji, T., Yamaguchi, M. and Yoshida, M. (1998) Classification of apricot varieties by RAPD analysis. Journal of Japanese Society of Horticultural Science 67: 21-27. Talebi Bedaf, M., Ghobadi, C., Yamchi, A., Sayed Tabatabaei, B. E. and Bahar, M. (2005) Using of ISSR markers to investigate the genetic diversity in some Iranian pomegranate. Proceedings of the 8th Congress of Agronomy and Plant breeding, Iran. Wang, Z., Weber, J. L., Zhong, G. and Tanksley, S. D. (1994) Survey of plant short tandem DNA repeats. Theoretical and Applied Genetics 88: 1-6. Weiguo, Z., Zhihua, Z., Xuexia, M., Yong, Z., Sibao, W., Jianhua, H., Hui, X., Yile, P. and Yongping, H. (2007) A comparison of genetic variation among wild and cultivated Morus species (Moraceae: Morus) as revealed by ISSR and SSR markers. Biodiversity and Conservation 16: 275-290. Williams, J. G. K., Kubelik, A. E., Livak, K. J., Rafalski, J. A. and Tingey, S. C. (1990) DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucleic Acids Research 18: 6531-6535. Wunsch, A. and Hormaza, J. I. (2002) Cultivar identification and genetic fingerprinting of temperate fruit tree species using DNA markers. Euphytica 125: 59-67. Zamani, Z., Sarkhosh, A., Fatahi, R. and Ebadi, A. (2007) Genetic relationships among pomegranate genotypes studied by fruit characteristics and RAPD markers. Journal of Horticultural Science and Biotechnology 82: 11-18. Zietkiewicz, E., Rafalski, A. and Labuda, D. (1994) Genome fingerprinting by simple sequence repeat (SSR) anchored polymerase chain reaction amplification. Genomics 20: 176-183.
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