2017
DOI: 10.1007/s40415-017-0374-3
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Genetic diversity of natural populations of medicinally valuable plant Satureja khuzistanica Jamzad based on ISSR markers

Abstract: Satureja khuzistanica Jamzad has been used in pharmaceutical industry because of its interesting pharmacological and biological activities. This study was undertaken to evaluate the level of genetic diversity and differentiation of S. khuzistanica populations. For this purpose, 84 individual plants from seven populations of this species were studied using inter-simple sequence repeat (ISSR) markers. A total of 157 bands were generated by 13 ISSR primers, of which 120 (88.35%) bands were polymorphic. Nei's gene… Show more

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Cited by 17 publications
(9 citation statements)
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“…The ability to reliably distinguish MAPs populations could be invaluable for their diversity studies, and molecular markers offer an effective approach to manifest genetic diversity based on DNA polymorphisms. ISSR markers have been successfully used for genetic diversity analysis of many other plant species like Salvia miltiorrhiza Bunge , Magnolia officinalis L., Fritillaria imperialis L., Satureja mutica , Artemisia dracunculus L., and Satureja khuzistanica . In the present study, nine highly polymorphic primers ( Table ) were selected from the thirty ISSR primers to amplify the thirteen Perovskia populations, and a total of 119 DNA bands were amplified, 96 of which were polymorphic (the percentage of polymorphic bands (% P ) = 80.7%).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The ability to reliably distinguish MAPs populations could be invaluable for their diversity studies, and molecular markers offer an effective approach to manifest genetic diversity based on DNA polymorphisms. ISSR markers have been successfully used for genetic diversity analysis of many other plant species like Salvia miltiorrhiza Bunge , Magnolia officinalis L., Fritillaria imperialis L., Satureja mutica , Artemisia dracunculus L., and Satureja khuzistanica . In the present study, nine highly polymorphic primers ( Table ) were selected from the thirty ISSR primers to amplify the thirteen Perovskia populations, and a total of 119 DNA bands were amplified, 96 of which were polymorphic (the percentage of polymorphic bands (% P ) = 80.7%).…”
Section: Resultsmentioning
confidence: 99%
“…ISSR markers have been successfully used for genetic diversity analysis of many other plant species like Salvia miltiorrhiza BUNGE, [57] Magnolia officinalis L., [58] Fritillaria imperialis L., [59] Satureja mutica, [60] Artemisia dracunculus L., [61] and Satureja khuzistanica. [62] In the present study, nine highly polymorphic primers ( Table 2) were selected from the thirty ISSR primers to amplify the thirteen Perovskia populations, and a total of 119 DNA bands were amplified, 96 of which were polymorphic (the percentage of polymorphic bands (% P) = 80.7%). These results may be due to differences in the materials that were utilized in each study.…”
Section: Polymorphisms Of Amplified Productsmentioning
confidence: 99%
“…acetate) at 80 V/cm for 150 min, and then, PCR product visualized using DNA green viewer and UV visible gel doc device. This was done for each primer as described [77] . The size marker 100–3000 kb DNA ladder (Denazist Co.) was used to discriminate the size of ISSR bands.…”
Section: Methodsmentioning
confidence: 99%
“…Inter-simple sequence repeat (ISSR) primers based on di, tetra, or penta-nucleotide repeats are routinely used for various purposes (Zietkiewicz et al 1994). The advantages of simple procedure, low cost, high reproducibility, and excellent stability made ISSR primers suitable for the determination of genetic diversity analysis (Rawat et al 2016;Hadian et al 2017;Ekincialp et al 2019), mapping studies (Casaoli et al 2001;Cekic et al 2011;Tanyolac 2003), and germplasm identification (Nagaoka and Ogihara 1997;Potter et al 2002). ISSR markers have been effectively employed for the determination of genetic diversity and molecular characterization of different crops including; cluster bean (Ansari et al 2016), Chickpea (Gautam et al 2016), and Brassica (Khalil and El zayat 2019).…”
Section: Introductionmentioning
confidence: 99%