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M. Alqahtani M, A. Abdein M, El-Leel O. F. A. Morphological and Molecular Genetic Assessment Of Some Thymus Species. Biosci Biotech Res Asia 2020;17(1).
Manuscript received on : 6-01-2020
Manuscript accepted on : 13-02-2020
Published online on:  21-03-2020

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Morphological and Molecular Genetic Assessment Of Some Thymus Species

Mesfer M. Alqahtani1, Mohamed A. Abdein2 and Omnia F. Abou El-Leel3

1Department of Biological Sciences, Faculty of Science and Humanities, Shaqra University, P.O. Box 1040,Ad-Dawadimi, 11911, Saudi Arabia.

2Biology Department, Faculty of Arts and Science, Northern Border University, Rafha, 91911, Saudi Arabia.

3Vegetable and Medicinal and Aromatic Plants Research Departments, Dokki, Giza and Biotechnology Lab. Horticulture Research Institute, Agricultural Research Centre, 12619, Egypt.

 Corresponding Author E-mail : abdeingene@yahoo.com

DOI : http://dx.doi.org/10.13005/bbra/2815

ABSTRACT: This study aimed to determine the morphological and genetically assessment in five Thymus species: Thymus vulgaris, Origanum vulgare, Thymus argenteus, Thymus citriodorus and Origanum syricum. Morphological assessment for the five Thymus species were obtained based on some growth parameters including: Plant height, Number of branches, Leaves fresh weight, Leaves dry weight and Volatile Oil%. Molecular genetic variability was assessed based on (SCoT-PCR) and (ISSR-PCR) analysis. Growth parameters were illustrated among five Thymus species in all growth parameters were had significant differences. The SCoT-PCR analysis using 5 out of 10 primers tested, the results illustrated that SCoT primers produced 24 Polymorphic bands out of 39 amplified bands with polymorphic average 60.52%, also five ISSR primers out of 14 primers tested, which analysis were generated 14 polymorphic bands out of 23 amplified bands with polymorphic average 60.86%. As well as assessment of SCoT and ISSR molecular marker techniques succeeded in generating reproducible and reliable amplified bands and from obvious results, SCoT-PCR analysis was better than ISSR-PCR analysis in molecular genetics. On The other hand, results obtained from an UPGMA dendrograms resulted in two genetically distinct clusters were determined between Thymus species. This results were conducted that SCoT and ISSR analysis could be useful as tools for identifying Thymes species in breeding programs.

KEYWORDS: Growth Parameters; ISSR; Molecular Markers; SCoT; Thymus Species

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Introduction

Thymus genus which belongs to the family Lamiaceae, includes several hundreds of species distributed over world1, where Mediterranean basin is considered the main center of this herbal plant 2.

Traditionally, most of plants discriminated on morphological-basis; however, these methods still difficult to apply for an accurate discrimination and authentication use3. Thymus genus is usually used for flavoring agents, herbal tea, and medicine and the aerial parts and volatile constituents of thyme are used as a medicinal material2. 4reported that, Polyploidy and disploidy/aneuploidy within many species in the genus Thymus further complicate the determination of species boundaries and there were have high levels of natural hybridization within and between the species, probably due to the absence of incompatibility and the presence of a dimorphic breeding system, gynodioecy, in which populations comprise female and hermaphroditic individuals.5 Reported that, Knowledge of genetic diversity within species is necessary for any improvement of cultivars, and biodiversity maintenance and restoration. DNA-based molecular markers, which are not affected by environmental conditions, have become increasingly important for surveying genetic diversity and genotype identification of medicinal plants6. These markers can also be taxonomically useful, i.e. for phylogenetic studies to distinguish plant species and subspecies7,8,9,10.

The start codon targeted (SCoT) polymorphism is a novel, simple and reliable gene targeted marker technique based on the translation start codon11. Primers for SCoT marker analysis were designed based on the con-served region surrounding the translation initiation codon, ATG. Using a single 18-mer primer as a forward and reverse primer in the PCR, 11designed thirty-six primers that were used successfully for cultivar identification and genetic diversity analysis in many crops. Being characterized by lower recombination levels between its markers and the gene/trait.12 Conducted that, This ISSR-PCR  technique is rapid, simple, inexpensive and more reproducible than RAPD amplification of DNA.. ISSR used to study the genetic diversity of plants for examples; Nepeta13, Thyme14, Salvia15, Mentha aquatica L.16, Satureja17, Salvia18, Thymus19, Phlomis kurdica and Phlomis oppositiflora20 and Ocimum21.

Increasingly, the plant breeding approach has taken advantage of de­velopments in molecular biology in order to genotype the species of interest in a way that considerably accelerates their selection and  this types of approach consist of choos­ing desired genotypes on the basis of molecular markers, or having prior knowledge of the genes that determine the formation of a particular trait in a plant22.

The aim of this study is to assess the molecular genetics and morphological assessment among different species of this plant using morphological and SCoT and ISSR markers, with a view toward conservation of this endangered species.

Materials and Methods 

Plant Materials and Growth Conditions

The seedlings of  the five Thymus species were obtained from two countries, Egypt and Kingdome of Saudi Arabia, as a commonly known species showed in Table 1. Thymus  plants were collected during two seasons of 2017/2018 and 2018/2019, at Vegetable and Medicinal and Aromatic Plants Research Departments, Dokki, Giza and Biotechnology Lab. Horticulture Research Institute, Agricultural Research Centre, Egypt. Two months old seedlings of five Thymus Sp.  were obtained from the Experimental Farm of Medicinal and Aromatic Plants Research Department, El-Kanater El-Khairia, Egypt.

Table 1: The Thymus species numbers and the names of the five studied species.

Cultivar Number Thymus species Common name Origin
1 Thymus vulgaris Balady Egypt
2 Origanum vulgare Syrian Saudi Arabia
3 Thymus argenteus Oregano Egypt
4 Thymus citriodorus Jordanian Saudi Arabia
5 Origanum syricum Gabaly Saudi Arabia

Growth Parameters

Plant height (cm), Number of branches, Leaves fresh weight (g), Leaves dry weight (g) and  Volatile Oil%. 

Molecular Genetic Assessment

DNA Extraction

The DNA extraction of the five species of Thymus was performed as described by23. DNA quality was checked by means of absorbance ratios A260/A280 through a UV-spectrophotometer where DNA is pure with a ratio A260/A280 from 1.8- 2.0. Moreover, using electrophoresis in 1% agarose gel with ethidium bromide, a qualitative check for DNA samples was done. 

SCoT and ISSR Analysis

Obtaining clear reproducible amplification products require a number of factors were included PCR temperature cycle profile and concentration of each of (template DNA, primer, MgCl2 and Taq polymerase) which were optimized  according to24 and 25 respectively, in the PCR reaction using 5 SCoT primers and 5 ISSR primers in molecular genetic analysis for the five Thymus species. ISSR primers procured from Bio Basic Company Canada. On the other hand, SCoT primers were designed from consensus sequence derived from the previous studies by26 and 27. 11 and procured from Biobasic Company.

ISSR and SCoT assays were performed as described by 24,25 and  28.

Gel Electrophoresis

PCR products were run at 100 V for one 30min. on 1.5 % agarose gel using 100bp Ladder DNA marker to detect polymorphism between five Thymus species  under study.

Statistical Analysis

A randomized complete block design was adopted for the present investigation data were statistically analyzed by the standard methods according to29. The new L.S.D. test was used for comparison between means. The DNA bands generated by each primer were counted and their molecular sizes were compared with those of the DNA markers. The bands scored from DNA profiles generated by each primer were pooled together. Then the presence or absence of each DNA band was treated as a binary character in a data matrix (coded 1 and 0, respectively) to calculate genetic similarity and to construct dendrogram tree among the studied five Thymus Species. Calculation was achieved using Dice similarity coefficients30 as implemented in the computer program SPSS-10.

Results and Discussion

Growth Composition Diameter

The growth parameters results were including Plant height (cm), number of branches/plant and fresh and dry weights of leaves/plant (g), of (Thymus species) seedlings in both two seasons are shown in Table (2).

Plant Height

Table (2) represented that plant height, Origanum vulgare was the highest plant in first season in the two cuts were as follow (31.39 and 35.37cm) and increased in the second season was cuts as follows (35.90 and 32.31cm) and this followed by Thymus citriodorus, Thymus vulgaris and Origanum syricum. While, the lowest in the Thymus Sp.  in plant height was Thymus 3 which results in first season in the two cuts were as follows (6.82 and 8.91cm) and in the second season data in the tow cuts were as follows (9.62 and 9.19cm), respectively.

Branch Number

The data in Table (2) revealed that,  the number of branches it was clear from that the greatest branches number were revealed by Thym.1in the first season: in two cuts were as follow (16 and 39) and in the second season: in the two cuts were as follow (39 and 42.67) and this results were followed by Thymus argenteus, Thymus citriodorus and Origanum syricum. While, the lowest number of branches were recorded in Origanum vulgare which were in the first season: in the two cuts as follow (3.67 and 4) and in the second season: in the two cuts ere as follow (4.33 and 5.33), respectively.

Fresh and Dry Weight of Leaves /Plant

Results of fresh weight of leaves /plant and dry weight of leaves /plant in the five sp. of Thymus in the two seasons data were revealed in Table (2), Thymus argenteus results were recorded as the highest data in all Thymus sp. under study and results were as follow, in the first season : fresh weight of leaves/plant in the two cuts were as follow (422.4 and 519 gm) and in dry weight of leaves/plant were as follow  in the two cuts (49.25 and 53.98gm). While, in the second season: fresh weight of leaves/plant in the two cuts were as follow (522.14 and 659.99 gm) and in dry weight of leaves/plant were as follow  in the two cuts (52.34 and 65.20gm) and this results were followed by Origanum vulgare, Thymus vulgaris and Thymus citriodorus, respectively. On the other hand, Origanum syricum was the lowest in both fresh and dry weight of leaves/plant in the two seasons and the results were as follow, the first season: fresh weight of leaves/plant in the two cuts were as follow (23.74 and 27.51 gm) and in dry weight of leaves/plant were as follow  in the two cuts (8.41 and 9.57gm). While, in the second season: fresh weight of leaves/plant in the two cuts were as follow (29.36 and 30.40 gm) and in dry weight of leaves/plant were as follow  in the two cuts (11.13 and 11.07gm).

Volatile Oil %

The results were observed in Table (2) illustrated the largest amount of volatile oil % was in Origanum vulgare in both two seasons as follow, the first season: results in the two cut were as follow (0.27 and 0.29%) and in the second season: results in the two cuts were as follow: (0.31 and 0.33%) respectively, and this results were followed by Thymus citriodorus, Thymus vulgaris and Thymus argenteus. While, the lowest amount of volatile oil % was observed in Origanum syricum in both two seasons and the results as follow, the first season: the two cut were as follow (0.05 and 0.06%) and in the second season: results in the two cuts were as follow: (0.07 and 0.12%), respectively.

Table 2: Vegetative parameters, plant height, branches number, fresh weight, dry weight and volatile oil % of five Thymus species through two cuts and two seasons.

First cut Second Cut
Plant height (cm) Branches number Fresh weight (g/plant) Dry weight (g/plant) Volatile oil

%

Plant height (cm) Branches number Fresh weight (g/plant) Dry weight (g/plant) Volatile oil

%

First season
Thymus vulgaris 21.53 16.00 33.74 11.47 0.10 23.76 39.00 49.59 17.20 0.12
Origanum vulgare 31.39 3.67 36.42 12.39 0.27 35.37 4.00 51.04 14.28 0.29
Thymus argenteus 6.82 6.67 422.46 49.25 0.07 8.91 8.67 519.81 53.98 0.08
Thymus citriodorus 29.24 5.33 29.10 11.42 0.22 32.22 9.00 41.26 14.36 0.26
Origanum syricum 12.30 4.33 23.74 8.41 0.05 13.72 5.67 27.51 9.57 0.06
New L.S.D. (0.05) = 1.42 1.88 86.27 9.87 0.02 1.11 3.16 93.45 14.08 0.01
Second season
Thymus vulgaris 26.76 39.00 36.51 12.85 0.12 24.47 42.67 52.34 18.79 0.14
Origanum vulgare 35.90 4.33 39.99 13.82 0.31 31.31 5.33 58.29 15.94 0.33
Thymus argenteus 9.62 8.33 522.14 52.34 0.11 9.19 8.67 659.99 56.20 0.13
Thymus citriodorus 32.76 7.33 36.10 13.08 0.27 30.48 9.33 43.92 12.36 0.29
Origanum syricum 14.25 5.00 29.36 11.13 0.07 12.73 6.67 30.40 11.07 0.12
New L.S.D. (0.05) = 0.70 2.63 81.85 9.90 0.02 1.42 1.17 114.93 12.81 0.03

Molecular  Genetics Assessment

This results of  the genetic variability in five species of Thymus using SCoT-PCR and ISSR-PCR analysis. Where five SCoT  primers out of ten tested primers were succeeded on the five different Thymus Species, and  five ISSR primers out of fourteen tested primers generated reproducible amplified bands.

Figure 1: SCoT-PCR Profile for five species of Thymus amplified with five primers for each analysis. Figure 1: SCoT-PCR Profile for five species of Thymus amplified with five primers for each analysis.

Click here to view figure

 

Figure 2: ISSR-PCR Profile for five species of Thymus amplified with five primers for each analysis. Figure 2: ISSR-PCR Profile for five species of Thymus amplified with five primers for each analysis.

Click here to view figure

SCoT and ISSR Analysis Assessment

Molecular genetic data produced by SCoT and ISSR analysis were shown in Figs (1 and 2) and Tables (3 and 4). These  data showed that, in SCoT results, primer (SCoT-6) was resulted in the highest number of amplified bands and primer (SCoT-4) was represented the lowest number of amplified bands compared with  other SCoT primers. On the other hand, in ISSR data,  primer 44B resulted in the highest number of amplified bands and primer (HB-14) showed the lowest number of amplified bands in all ISSR primers.

On the  other hand,  SCoT primers except SCoT 4 and SCoT-8 generated 10 unique bands  out of 39 amplified bands and ISSR primers except (44B, HB-10 and HB-14) generated 4 unique bands out of 23 amplified bands, May be these unique bands were useful as unique markers as explained by31 in cymbopogon; 32 in canolla; 33 in tomato and 34 in pumpkin.

Table 3: Molecular genetic data produced from amplified banding patterns of  SCoT technique.

 

Primer

Name

 

Sequence

(5´→ 3`)

Molecular size range Total   Amplified Band Monomorphic   Band Polymorphic  band Unique  Band Polymorphic

%

SCoT 1 CAA CAATGGCTACCACCC 180:1470 8 3 5 2 62.50%
SCoT 2 CAACAATGGCTACCACCC 135:920 7 3 4 1 50%
SCoT 4 CAACAATGGCTACCACCT 135:48001differenteciesmusdy, nce. T 5 4 1 20%
SCoT 6 CAACAATGGCTACCACGC 193:1063 12 2 10 7 83.33%
SCoT 8 CAACAATGGCTACCACGT 195:587 7 1 4 14.28%
Total 38 15 24 10 60.52%

Table 4: Molecular genetic data produced from amplified banding patterns of ISSR technique.

 

Primer

Name

 

Sequence

(5´→ 3`)

Molecular size range Total   Amplified Band Monomorphic   Band Polymorphic  band Unique  Band Polymorphic

%

44B (CT)8GC 150:560 6 3 3 50%
HB-09 (GT)6GC 380:760 5 1 4 3 80%
HB-10 (GA)6CC 300:560 4 1 3 75%
HB-12 (CAC)3GC 300:840 5 1 4 1 80%
HB-14 (CT)3GC 380:480 3 3
Total 23 9 14 4 60.86%

Table 5: Polymorphic, Monomorphic, Unique bands and Polymorphic percentage generated by the (ISSR and SCoT) analysis.

Primer

Name

Total Amplified

Band

Monomorphic

Band

Polymorphic

band

Unique

Band

Polymorphic

%

SCoT 38 15 23 4 60.52%
ISSR 23 9 14 4 60.86%
Total 61 24 37 8 60.65%

Also, Table 5 showed that five species of Thymus, (Thymus vulgaris, Origanum vulgare, Thymus argenteus, Thymus citriodorus and Origanum syricum) characterized by five SCoT primers and five ISSR primers data, 23 polymorphic bands from 38 amplified bands were produced by SCoT primers with polymorphic average 60.52%. While, 14 polymorphic bands from 23 amplified bands with polymorphic average 60.86% were generated by ISSR primers. On the other hand, in the combined results there were 37  polymorphic bands from total 61 amplified bands with total polymorphic average 60.65%. These obtained data indicates that SCoT-PCR and ISSR-PCR techniques were succeeded in differentiate between five Thymus species studied.

Molecular Distance of Combination of SCoT and ISSR Analysis

On the other hand, Table (6) illustrated that, results of molecular distance (MD) matrix between all five species of Thymus studied based on SCoT  and ISSRs combined results.

Molecular distances (MD) based on SCoT markers data were ranged from 0.633 (between Thymus vulgaris and Thymus citriodorus species) to 0.843 (between Thymus vulgaris and Origanum vulgare  species) was lower than range of MD based on ISSR ranged from 0.603 (between Thymus vulgaris and Thymus citriodorus species) to 0.942 (between Thymus vulgaris and Origanum vulgare  species). While in combined data were ranged from 0.164 to 0.404 among the same genotypes were defined by SCoT technique.

Table 6: Molecular distances (MD) between five Thymus Species based on Dice dissimilarity index for SCoT & ISSR and combined data.

MD Thymus vulgaris Origanum vulgare Thymus argenteus Thymus citriodorus Origanum syricum
Origanum vulgare  

ISSR

 

0.942

SCoT 0.843
Comb 0.872
Thymus argenteus ISSR 0.743 0.813
SCoT 0.752 0.732
Comb 0.733 0.753
Thymus citriodorus ISSR 0.603 0.684 0.813
SCoT 0.633 0.702 0.732
Comb 0.602 0.680 0.763
Origanum syricum ISSR 0.902 0.853 0.684 0.661
SCoT 0.753 0.733 0.761 0.771
Comb 0.822 0.792 0.721 0.721

Previously data represented the important of SCoT-PCR technique in  molecular genetic assessment in Thymus species in comparison with ISSR-PCR technique. These results were in agreement with Nepeta13, Thyme14, Mentha aquatica L.16, Satureja 17, Salvia18 and Thymus19.

Dendrogram Analysis of Combination Between SCoT and ISSR Analysis 

Fig. 3 represented dendrogram from UPGMA method using Dice-dissimilarity index Dendrogram data were divided the five Thymus Species into two main clusters: The first cluster contained two Thymus sp. (Thymus argenteus and Thymus citriodorus) and the second cluster was divided into two sub-clusters: the first sub-cluster included Origanum syricum only. While the second sub-cluster included the two other species (Thymus vulgaris and Origanum vulgare).

This results were conducted that SCoT and ISSR analysis could be useful as tools for identifying Thymes species in breeding programs  and this combination data of SCoT and ISSR analysis were suitable for evaluating the genetic relationships among  five species of Thymus and this results were  in agreement with genetic analysis has been conducted by35,36,37, Salvia18 and Thymus 19 Phlomis kurdica and Phlomis oppositiflora20 and Ocimum21,38. Revealed that, by using of ISSR-PCR technique of some accessions of Thymus daenensis, was obtained two geographically diverse groups were generated by dendrogram.

 Figure 3: Dendrogram derived by UPGMA method using Dice-dissimilarity coefficient for combined binary data of SCoT and ISSR techniques for five species of Thymus. Figure 3: Dendrogram derived by UPGMA method using Dice-dissimilarity coefficient for combined binary data

Click here to view figure

Acknowledgment

The authors appreciate the constant help and work support provided by Shaqra University & Northern Border University, Saudi Arabia and Agricultural Research Centre, Egypt.

Funding Source

This work is self-funding and the authors did not get any fund from any organization or persons.

Conflict of Interest

Authors declare that we have no conflict of interests.

References

  1. Akcin, A.T. (2006). Numerical taxonomic studies on some species of the genus Thymus L. (Labi-atae) in Turkey. Asian Journal of Plant Science. 5 (5): 782-788.
    CrossRef
  2. Stahl-Biskup, E. and F. Saez (2002). Thyme, the genus Thymus. Taylor and Francis, London and New York, p. 330.
    CrossRef
  3. Arif, A., M.A. Bakir, H.A. Khan, A.H. Al-Farhan, A.A. Al-Homaidan, A.H. Bahkali, M. Al-Sadoon and M. Shobrak (2010). Application of RAPD for molecular characterization of plant species of medicinal value from an arid environment. Genetic and Molecular Research. 9 (4): 2191-2198.
    CrossRef
  4. Sostaric, I., Liberz, Gradisa M, Martin PD, Stevanovic Z.D., Satovicz (2012). Genetic diversity and relationships among species of the genus Thymus L. (section Serphyllum). Flora. 207: 654-661.
    CrossRef
  5. Karp, A., K. Edwards, M. Bruford, B. Vosman, M. Morgante, O. Seberg, A. Kremer, P. Boursot, P. Arctander, D. Tautz and G. Hewitt (1997). Newer molecular technologies for bio-diversity evaluation: opportunities and chal-lenges. Nature Biotechnol. 15:625-628.
    CrossRef
  6. Nybom, H. and K. Weising (2007). DNA profiling of plants. Medicinal Plant Biotechnology. 9: 73-95.
    CrossRef
  7. Lynch, M. and B.G. Milligan (1994). Analysis of pop-ulation genetic-structure with RAPD markers. Mol. Ecol. 3: 91-99.
    CrossRef
  8. Mulcahy, D.L., M. Cresti, H.F. Linskens, C. Intrieri, O. Silverstoni, R. Vignani and M. Pancaldi (1995). DNA fingerprinting of Italian grape varieties: a test of reliability in RAPDs. Advanced Horticultural Science. 9: 185-187.
  9. Baigi, M.N.R., S. Grewal and S. Dhillon (2009). Molecular characterization and genetic diversity analysis of citrus cultivars by RAPD markers. Turk J. Agric. For. 33: 375-384.
  10. Alamdary, S.B.L., A. Safarnejad and M. Rezaee (2011). Evaluation of genetic variation between Thymus accessions using molecular markers. J. Basic. Appl. Sci. Res. 1(12): 2552-2556.
  11. Collard, B.C.Y. and D.J. Mackill (2009). Start Codon Targeted (SCoT) polymorphism: A simple novel DNA marker technique for generating gene-target markers in plants. Plant Molecular Biology. 27: 86-93.
    CrossRef
  12. Pharmawati, M., G. Yan and I.J. McFarlane (2004). Application of RAPD and ISSR markers to analyses molecular relationships in Grevillea (Proteaceae). Aust. Syst. Bot. 17(1): 49-60.
    CrossRef
  13. Smolik, M.D. Jadczak and A. Główczyk (2008). Assessment of morphological and genetic variability in chosen Nepeta accessions. Herba Polonica. 54 (4): 68-78.
  14. Smolik, M.D. Jadczak and S. Korzeniewska (2009). Assessment of morphological and genetic variability in some Thymus accessions using molecular markers. Not. Bot. Hort. Agrobot. Cluj. 37 (2): 234-240.
  15. Javan, Z.S., F. Rahmani and R. Heidar (2012). Assessment of genetic variation of genus Salvia by RAPD and ISSR markers. AJCS. 6(6):1068-1073.
  16. Schanzer, I.A.; M.V. Semenova, O.V. Shelepova and TV. Voronkova (2012). Genetic diversity and natural hybridization in populations of clonal plants of Mentha aquatica (Lamiaceae). Wulfenia. 19:131-139.
  17. Kameli, M., S.M. Hejazi and M. Ebadi (2013). Assessment of genetic diversity on populations of three Satureja species in Iran using ISSR markers. Annals of Biological Research. 4 (3): 64-72.
  18. Yousefiazarkhanian, M.A. Asghari, J. Ahmadi, B. Asghari and A.A. Jafari (2015). Genetic Diversity Assessment of some Salvia sp. ecotypes based on ISSR markers. Biological Forum An International Journal. 7(1): 286-288.
  19. Yousefi, V., A. Najaphy, A. Zebarjadi and H. Safari (2015). Molecular characterization of Thymus species using ISSR Markers. The Journal of Animal & Plant Sciences. 25(4):1087-1094.
  20. Evren, OH., E.Y. Uzbasioglu and M.Y. Dadand (2015). Determination of intra-specific genetic variation of Phlomis kurdica and Phlomis oppositiflora and investigation for the hybridity of P. x melitenense (Lamiaceae) by means of molecular markers. Institute of Botany, Slovak Academy of Scienc. Uesn. 70(9): 1159-1171.
    CrossRef
  21. Patel, H.K., R.S. Fougat, S. Kumar, J.G. Mistry and M. Kumar (2016). Detection of genetic variation in Ocimum species using RAPD and ISSR markers. 3 Biotech. 5(5): 697-707.
    CrossRef
  22. Pradeep Reddy, M., N. Sarla, and E.A. Siddiq (2002). Inter simple sequence repeat (ISSR) polymorphism and its application in plant breeding. Euphytica. 128: 9-17.
    CrossRef
  23. Dellaporta, S.L.; J. Wood and J.B. Hicks (1983). A plant DNA mini preparation. Version III. Plant Mol. Biol., Rep.1: 19-21.
    CrossRef
  24. Fathi, M.A.; SH.M. Hussein and S.Y. Mohamed (2013). Horticultural and molecular genetic evaluation of some peach selected strains cultivated under Kalubiah governorate conditions. 9(1st):12-23.
  25. Xiong, F.Q.; R.C. Zhong; Z.Q. Han and J.  Jiang (2011). Start codon targeted polymorphism for evaluation of functional genetic variation and relationships in cultivated peanut (Arachis hypogaea) genotypes. Mol. Biol. Rep, 38(5): 3487- 3494.
    CrossRef
  26. Joshi, C.P.; H. Zhou; X. Huang and V.L. Chiang (1997). Context sequences of translation initiation codon in plants. Plant Mol. Biol. 35: 993-1001.
    CrossRef
  27. Sawant, S.V.; P.K. Singhl; S.K. Gupta; R. Madnala and R. Tuli (1999). Conserved nucleotide sequences in highly expressed genes in plants. J. Genet., 78:123‑131.
    CrossRef
  28. Ozyurt, I.K ; Y.Akca and S. Ercisli (2013). Molecular characterization of Prunus mahaleb rootstock candidates by ISSR markers. Genetika. 45(3):717-726.
    CrossRef
  29. Snedecor, G.W. and W.G. Cochran (1980). “Statistical Methods”. Oxford and J.B.H. publishing comm., 6th “edition”.
  30. Dice, L.R. (1945). Measures of the amount of ecologic association between species. Ecology. 26: 297-302.
    CrossRef
  31. Adhikari, S.; S. Saha; T.K. Bandyopadhyay and P. Ghosh (2015). Efficiency of ISSR marker for characterization of cymbopogon germplasm and their suitability in molecular barcoding. Plant systematic and Evaluation. 301:439-450.
    CrossRef
  32. Abd El-Aziz, M.H. and R.M. Habiba (2016). Molecular assessment of genetic diversity in some canola homozygous lines. Egyptian Journal of Genetics and Cytology. 45: 129- 145.
    CrossRef
  33. Abdein, M.A., D. Abd El-Moneim, S.S. Taha, W.S.M. Al-Juhani and S.E. Mohamed (2018). Molecular characterization and genetic relationships among some tomato genotypes as revealed by ISSR and SCoT markers. Egyptian Journal of Genetics and Cytology. Vol. 47(No.1) Jun., 2018.
  34. Abdein, M.A. (2018). Genetic Diversity between Pumpkin Accessions Growing in the Northern Border Region in Saudi Arabia Based on Biochemical and Molecular Parameters. Egyptian Journal Botany. Vol. 58, No. 3, pp. 463-476.
    CrossRef
  35. Fracaro, F. and S. Echeverrigaray (2006). Genetic variability in Hesperozygis ringens (Lamiaceae), an endangered aromatic and medicinal plant of Southern Brazil. Biochem. Genet. 44: 479-490.
    CrossRef
  36. Liu J., L. Wang, Y. Geng, Q. Wang, L. Luo and Y. Zhong (2006). Genetic diversity and population structure Lamiophlomis rotate (Lamiaceae), an endemic species of Qinghai-Tibet Plateau. Genetica. 128: 385-394.
    CrossRef
  37. Agostini G., S. Echeverrigaray and T.T. Souza-Chies (2008). Genetic relationships among South American species of Cunila D. Royen ex L. based on ISSR. Plant Sys. Evol. 274: 135-141.
    CrossRef
  38. Rahimmalek, M., B. Bahreininejad, M. Khorrami and S.B.E. Tabatabaei (2009). Genetic variability and geographic differentiation in Thymus daenensis daenensis, an endangered medicinal plant, as revealed by inter simple sequence repeat (ISSR) markers. Biochem. Genet. 47:831-842.
    CrossRef
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