Journal of Vegetables Sciences

Journal of Vegetables Sciences

Genetic diversity analysis of Grammosciadium platycarpum populations using ISSR markers

Document Type : Original Article

Authors
1 M.Sc. student, Department of Agriculture, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran
2 Assistant Professor, Department of Agriculture, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran
3 Professor, Department of Agriculture, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran
4 Professor, Department of Biology, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Tehran, Iran
Abstract
1. Introduction: The genus Grammosciadium of the Apiaceae family has nine species, of which three species, G. pterocarpum, G. platycarpum, and G. scarbridu, grow in Iran which grow in most temperate or cold temperate regions and in mountain pastures. G. platycarpum is a perennial plant with a height of 40 to 100 cm, which is known as mountain parsley or mountain dill and is distributed in Iran, Turkey, Iraq, and Armenia. It is used as an infusion to reduce fat and blood sugar, and as Vegetables are, consumed raw and cooked in some regions of Iran. It has a pleasant taste and smell and is used as a vegetable and food additive in different regions in spring. Since wild and medicinal plants usually have weak and uneven germination, the use of methods to improve germination can have a positive effect on improving the production of these plants. Due to the high percentage of linalool in its essential oil, G. platycarpum is considered a valuable and promising source for the extraction and commercial purification of this compound, the demand for which is increasing across various industries. At present, industrial requirements for this plant are largely met through harvesting from natural habitats, an unsustainable practice that poses the risk of population decline and even local extinction. Consequently, the collection, identification, and characterization of native genotypes represent essential steps toward the conservation and genetic improvement of this species. In plant breeding, precise knowledge of genetic diversity provides the foundation for selecting desirable parents, while population-level studies facilitate the effective utilization of unique populations in breeding programs and support the long-term preservation of genetic resources. Therefore, assessing genetic diversity is critical for developing informed conservation and breeding strategies. In this study, the genetic diversity of several populations of this species was evaluated using ISSR markers.
2. Materials and Methods: In the initial phase of the study, potential habitats of G. platycarpum were identified using available flora references and through field surveys in surrounding regions. Fourteen populations of G. platycarpum (three individuals per population) were sampled. For each individual, a leaf sample was collected using a sterile blade, wrapped in aluminum foil, and immediately placed in liquid nitrogen. The samples were then transferred to a −80 °C freezer for storage before DNA extraction. DNA was extracted from all samples, and its quantity and quality were assessed using both a spectrophotometer and agarose gel electrophoresis. Seven primers were selected for DNA amplification. The polymerase chain reaction (PCR) was carried out in a final reaction volume of 15 µL using a thermocycler. For separation of PCR products, a 1.5% agarose gel was employed. After electrophoresis, gels were photographed for band detection. The banding patterns were scored in a binary matrix, with polymorphic bands recorded as “1” (presence) and “0” (absence). To calculate the similarity matrix, the SimQual procedure was applied. Similarity coefficients were generated using three methods: Simple Matching, Dice, and Jaccard. For clustering, the SAHN procedure with the UPGMA algorithm was employed using NTSYS software (version 2.02). The cophenetic correlation coefficient was used to evaluate the efficiency of the clustering algorithm and to determine the most appropriate similarity coefficient for analysis.
3. Results and Discussion: A considerable level of genetic diversity was observed among the individuals based on ISSR markers. In total, 34 bands were generated, of which 31 were polymorphic. The average percentage of polymorphism among the studied populations was calculated as 91.53%. The highest polymorphism percentages were obtained from primers IS4, IS13, IS15, and IS23. The mean PIC and MI values for the evaluated primers were 0.33 and 1.33, respectively. Shannon’s information index (I) ranged from 0.090 to 0.333 across populations, while Nei’s genetic diversity index (h) varied between 0.058 and 0.228. Overall, the OSH (Oshnavieh) population exhibited the lowest genetic diversity, whereas the MAH (Mahabad) population showed the highest diversity. The mean number of observed alleles and effective alleles per locus were calculated as 1.228 and 0.821, respectively. Cluster analysis using the UPGMA method and Jaccard similarity coefficient grouped the individuals from different populations into three major clusters.
4. Conclusion: The results of this study demonstrated that the high level of polymorphism observed indicates the effective performance of ISSR markers in assessing the genetic diversity of G. platycarpum populations. Therefore, these markers can serve as valuable tools for evaluating genetic variation and supporting plant breeding programs. One of the primary goals of plant breeders is the preservation of genetic resources, as higher genetic diversity enhances resistance to pests and diseases and ultimately contributes to species survival. Given that the investigation of genetic relationships is essential for plant breeding as well as for the conservation of genetic resources, the findings of this study revealed considerable genetic diversity among the examined populations, suggesting that appropriate measures can be implemented for conservation and breeding efforts in this species. Since breeding programs require substantial genetic variation among populations, the diversity identified in the studied populations can significantly support and advance future breeding initiatives.
Keywords

Aghaei, M., Darvishzadeh, R. & Hassani, A. (2012). Molecular characterization and similarity relationships among Iranian basil (Ocimum basilicum L.) accessions using inter simple sequence repeat markers. Revista Ciência Agronômica, 43(2), 312–320. https://doi.org/10.1590/S1806-66902012000200014
Akhtar, N., Hafiz, I. A., Hayat, M. Q., Potter, D., Abbasi, N. A., Habib, U., Hussain, A., Hafeez, H., Bashir, M. A. & Malik, S. I. (2021). ISSR-based genetic diversity assessment of genus Jasminum L. (Oleaceae) from Pakistan. Plants, 10(7), 1270. https://doi.org/10.3390/plants10071270
Alan, F., Uzun, A. & Pınar, H. (2025). Genetic diversity and population structure of some blackberry genotypes collected from different parts of Türkiye using inter simple sequence repeat (ISSR) markers. Genetic Resources and Crop Evolution, 72, 9001–9019. https://doi.org/10.1007/s10722-025-02498-6
Alzahrani, O. R., Alshehri, M. A., Alasmari, A., Ibrahim, S. D., Oyouni, A. A. & Siddiqui, Z. H. (2023). Evaluation of genetic diversity among Saudi Arabian and Egyptian cultivars of alfalfa (Medicago sativa L.) using ISSR and SCoT markers. Journal of Taibah University for Science, 17, 2194187. https://doi.org/10.1080/16583655.2023.2194187
Amiri, P., Ismaili, A. & Hadian, J. (2017). Evaluation of genetic diversity of Styrian pumpkin (Cucurbita pepo var. styriaca) populations using ISSR molecular markers. Plant Genetic Research, 4(2), 17–28. https://doi.org/10.29252/pgr.4.2.17
Amiri, P., Shahpiri, A., Asadollahi, M., Momenbeik, F. & Partow, S. (2016). Metabolic engineering of Saccharomyces cerevisiae for linalool production. Biotechnology Letters, 38, 503–508. https://doi.org/10.1007/s10529-015-2000-4
Aprotosoaie, A. C., Hăncianu, M., Costache, I. I., & Miron, A. (2014). Linalool: A review on a key odorant molecule with valuable biological properties. Flavour and Fragrance Journal, 29, 193–219. https://doi.org/10.1002/ffj.3197
Bahari, Z., Shojaeiyan, A., Rashidi Monfared, S., Mirshekari, A., Nasiri, K. H. & Amirian, M. (2015). Investigation of genetic diversity among some Iranian dill (Anethum graveolens L.) landraces using ISSR markers. Plant Genetic Research, 2, 11–22. https://doi.org/10.29252/pgr.2.1.11
Bakhtiar, Z., Hassandokht, M., Naghavi, M.R. & Mirjalili, M.H. (2024). Phenotypic, genetic structure, and essential oil characteristics of twenty Ocimum basilicum L. agro-ecotypic populations from Iran. Scientia Horticulturae, 326, 12748. https://doi.org/10.1016/j.scienta.2023.112748
Bilia, A. R., Guccione, C., Isacchi, B., Righeschi, C., Firenzuoli, F. & Bergonzi, M. C. (2014). Essential oils loaded in nanosystems: A developing strategy for a successful therapeutic approach. Evidence-Based Complementary and Alternative Medicine, 2014, 651593. https://doi.org/10.1155/2014/651593
Doyle, J. J. & Doyle, J. L. (1987). A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin, 19, 11–15.
Eghlima, G., Kheiry, A., Sanikhani, M., Hadian, J., & Aelaei, M. (2021). Study of genetic diversity of Glycyrrhiza glabra L. populations using ISSR molecular markers. Plant Genetic Research, 8(1), 81–94. https://doi.org/10.52547/pgr.8.1.6
Eghlima, G., Saeed-Abadi, B., Sonboli, A., Rezadoost, H. & Mirjalili, M.H. (2025a). Phenotypic yield-attributed traits, essential oil content and composition of Iranian Grammosciadium platycarpum (Apiaceae) populations: a rich source of (S)-(+)-linalool. BMC Plant Biology, 25, 208. https://doi.org/10.1186/s12870-025-06231-4.
Eghlima, G., Sonboli, A. & Mirjalili, M.H. (2025b). Chemometrics-based analysis of the essential oil composition, phenolic compounds, and antibacterial potency of aerial parts of Grammosciadium platycarpum populations. Scientific Reports, 15, 5083. https://doi.org/10.1038/s41598-025-89786-4
Frumuzachi, O., Flanagan, A., Rohn, S., & Mocan, A. (2025). The dichotomy between functional and functionalized foods: A critical characterization of concepts. Food Research International, 208, 116173. https://doi.org/10.1016/j.foodres.2025.116173
Gebremichael, G. E., Bayratsion, Y. T., Abera, F. A., Egziabher, Y. G., Sbhatu, D. B., Tesfaye, K., Mekonnen, T. & Atsbeha, G. (2025). Genetic diversity and population structure analysis of Pisum sativum var. abyssinicum genotypes from Northern Ethiopia using ISSR markers. Agrosystems, Geosciences & Environment, 8, e70151. https://doi.org/10.1002/agg2.70151
Hadian, J., Karami, A., Azizi, A. & Khadivi-Khub, A. (2014). Ubiquitous genetic diversity among and within wild populations of Satureja rechingeri assessed with ISSR markers. Plant Systematics and Evolution, 301, 923–930. https://doi.org/10.1007/s00606-014-1126-5
Hadian, J., Raeisi, S., Azizi, A., Pezhmanmehr, M. & Sarkhosh, A. (2017). Genetic diversity of natural populations of medicinally valuable plant Satureja khuzistanica Jamzad based on ISSR markers. Brazilian Journal of Botany, 40, 771–781. https://doi.org/10.1007/s40415-017-0374-3
Heydari, A., Hadian, J., Esmaeili, H., Kanani, M.R., Mirjalili, M.H. & Sarkhosh, A. (2019). Introduction of Thymus daenensis into cultivation: analysis of agro-morphological, phytochemical and genetic diversity of cultivated clones. Industrial Crops and Products, 131, 14–24. https://doi.org/10.1016/j.indcrop.2019.01.033
Hu, Y., Wang, L., Xie, X., Yang, J., Li, Y. & Zhang, H. (2010). Genetic diversity of wild populations of Rheum tanguticum endemic to China as revealed by ISSR analysis. Biochemical Systematics and Ecology, 38, 264–274. https://doi.org/10.1016/j.bse.2010.01.006
Ilc, T., Parage, C., Boachon, B., Navrot, N. & Werck-Reichhart, D. (2016). Monoterpenol oxidative metabolism: Role in plant adaptation and potential applications. Frontiers in Plant Science, 7, 509. https://doi.org/10.3389/fpls.2016.00509
Jamshidnia, M., Asgary, S. & Rafieian-Kopaei, M. (2023). Evaluation of accession structure and genetic diversity in Iranian milk thistle (Silybum marianum L.) by ISSR markers. Genetika, 55, 473–490. https://doi.org/10.2298/GENSR2302473J
Karunamoorthi, K., Jegajeevanram, K., Vijayalakshmi, J. & Mengistie, E. (2013). Traditional medicinal plants: A source of phytotherapeutic modality in resource-constrained health care settings. Journal of Evidence-Based Complementary & Alternative Medicine, 18(1), 67–74. https://doi.org/10.1177/2156587212460241
Kayis, S.A., Hakki, E. E. & Pinarkara, E. (2010). Comparison of effectiveness of ISSR and RAPD markers in genetic characterization of seized marijuana (Cannabis sativa L.) in Turkey. African Journal of Agricultural Research, 5(21), 2925–2933. https://doi.org/10.5897/AJAR.9000122
Khaled, A. G. A., Motawea, M. H. & Said, A. A. (2015). Identification of ISSR and RAPD markers linked to yield traits in bread wheat under normal and drought conditions. Journal of Genetic Engineering and Biotechnology, 13(2), 243–252. https://doi.org/10.1016/j.jgeb.2015.05.001
Khazaie,L. , Shirzadian-Khorramabad,R. , Ebadi,A. A. & Moumeni,A. (2024). Genetic Diversity and Population Structure in Hashemi Rice (Oryza sativa L.) Mutants Revealed by Morphological and Molecular Markers. Journal of Agricultural Science and Technology, 26(3), 607-622. https://doi.10.22034/JAST.26.3.607
 Kumar, A., D'Souza, S. S., Uenishi, G., Park, M. A., Lee, J. H. & Slukvin, I. I. (2020). Generation of T cells from human and nonhuman primate pluripotent stem cells. Bio-Protocol, 10(13), e3675. https://doi.org/10.21769/BioProtoc.3675
Kumar, S. S., Prasad, S., Wani, O. A., et al. (2025). Genetic diversity and agro-morphological characterization of cassava varieties provides insight for breeding and crop improvement. Scientific Reports, 15, 17498. https://doi.org/10.1038/s41598-025-02527-5
Latifi, E ., Yousefi, M. & Haerinasab, M. (2018). Study of genetic diversity in some populations of Cordia myxa L. in Iran by using CDDP molecular marker. Journal of Plant Biological Sciences, 9(4), 39-54. https://doi.org/10.22108/IJPB.2018.105760.1046
Lotfi1, M., Eghlima, G., Mirjalili, M.H. & Sonboli, A. (2024). Evaluation of seed germination indices of Grammosciadium platycarpum Boiss. & Hausskn. under the influence of stratification and gibberellic acid treatments. Journal of Vegetables Sciences, 15(1), 39-50. https://doi.org/10.22034/IUVS.2024.2023756.135
Nadi, S., Saba, J., Jaffaraghaei, M. & Andalibi, B. (2024). Study of genetic diversity among coriander (Coriandrum sativum L.) populations using ISSR markers. MGJ, 18(4), 5.
Nazari, D., Naghdi Badi, H., Mehrafarin, A., Taj-abadi, F. & Soltanipour, M. (2024). Expression of the changes in essential oil components of Shirazi thyme (Zataria multiflora Boiss.) as affected by various drying methods. Industrial Crops and Products, 220, 119222. https://doi.org/10.1016/j.indcrop.2024.119222
Ogwu, M.C., Izah, S.C., Joshua, M.T. (2025). Ecological and environmental determinants of phytochemical variability in forest trees. Phytochemistry Reviews, 1–29. https://doi.org/10.1007/s11101-025-10066-0
Pereira, I., Severino, P., Santos, A. C., Silva, A. M. & Souto, E. (2018). Linalool bioactive properties and potential applicability in drug delivery systems. Colloids and Surfaces B: Biointerfaces, 171(1), 566–578. https://doi.org/10.1016/j.colsurfb.2018.08.001
Pérez de la Torre, M., García, M., Heinz, R. & Escandón, A. (2012). Analysis of genetic variability by ISSR markers in Calibrachoa caesia. Electronic. Journal of Biotechnology, 15(5) , 1–12. https://doi.org/10.2225/vol15-issue5-fulltext-8
Pourkhaloee, A., Khosh-Khui, M., Arens, P., Salehi, H., Razi, H., Niazi, A., Afsharifar, A. & van Tuyl, J. (2018). Molecular analysis of genetic diversity, population structure, and phylogeny of wild and cultivated tulips (Tulipa L.) by genic microsatellites. Horticulture Environment and Biotechnology, 59, 875–888. https://doi.org/10.1007/s13580-018-0055-6
Powell, W., Morgante, M., Andre, C., Hanafey, M., Vogel, J., Tingey, S., & Rafalski, A. (1996). The Comparison of RFLP, RAPD, AFLP and SSR (Microsatellite) Markers for Germplasm Analysis. Molecular Breeding, 3, 225-238. http://dx.doi.org/10.1007/BF00564200
Raguso, R. A. (2016). More lessons from linalool: Insights gained from a ubiquitous floral volatile. Current Opinion in Plant Biology, 32, 31–36. https://doi.org/10.1016/j.pbi.2016.05.007
Serrote, C., Reiniger, L., Silva, K. B., Rabaiolli, S. & Stefanel, C. M. (2020). Determining the polymorphism information content of a molecular marker. Gene, 726, 144175. https://doi.org/10.1016/j.gene.2019.144175
Shakoor, A., Zaib, G., Zhao, F., Li, W., Lan, X. & Esfandani-Bozchaloyi, S. (2022). ISSR markers and morphometry determine genetic diversity and population structure in Hedera helix L. Czech Journal of Genetics and Plant Breeding, 58, 73–82. https://doi.org/10.17221/93/2021-CJGPB
Suresh, S., Chung, J. W., Sung, J. S., Cho, G. T., Park, J. H., Yoon, M. S., Kim, C. K. & Baek, H. J. (2012). Analysis of genetic diversity and population structure of 135 dill (Anethum graveolens L.) accessions using RAPD markers. Genetic Resources and Crop Evolution, 60, 893–903. https://doi.org/10.1007/s10722-012-9886-7
Thimmappaiah, W., Santhosh, G., Shobha, D. & Melwyn, G. S. (2009). Assessment of genetic diversity in cashew germplasm using RAPD and ISSR markers. Scientia Horticulturae, 120(3), 411–417. https://doi.org/10.1016/j.scienta.2008.11.022
Wang, F., Yang, T., Burlyaeva, M., Li, L., Jiang, J., Fang, L., Redden, R. & Zong, X. (2015). Genetic diversity of grasspea and its relative species revealed by SSR markers. PLoS One 10, e0118542. https://doi.org/10.1371/journal.pone.0118542
Volume 10, Issue 19
July 2026
Pages 227-240

  • Receive Date 19 November 2025
  • Revise Date 27 December 2025
  • Accept Date 27 December 2025