GENETIC VARIATION OF JIAOGULAN (GYNOSTEMMA PENTAPHYLLLUM) CULTIVAR 'SIBSONGPUNNA 1' REVEALED BY RAPD AND ISSR MARKERS

The present study aims to investigate the genetic variation in Cinnamomum tamala Nees. (Lauraceae) accessions collected from different locations of Uttarakhand Himalaya. The leaves samples were analyzed by using RAPD and ISSR markers. A total 22 primers were used for initial screening in order to select the ones giving good amplification. Seven primers (OPA-12, OPA-18, OPB-10, OPB-17, ISSR-21, ISSR-24 and ISSR-30) were found to be polymorphic in eight accessions. Based on combined profile of ISSR and RAPD markers the dendrogram was constructed by using UPGMA cluster analysis and all the accessions showed discrimination from one another. All the accessions were clustered into two major groups, one containing T1-T4 and second T5-T8. The percentage of polymorphic bands was 86.3 % for three ISSR markers and 70.5 % for four RAPD markers. This emphasize that ISSR markers were found to be the best for genetic variation in the species.

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Lack of genetic variation of an invasive clonal plant Eichhornia crassipes in China revealed by RAPD and ISSR markers

Aquatic Botany ◽

10.1016/j.aquabot.2005.09.008 ◽

2006 ◽

Vol 84 (2) ◽

pp. 176-180 ◽

Cited By ~ 42

Author(s):

Weiguo Li ◽

Bingrui Wang ◽

Jianbo Wang

Keyword(s):

Genetic Variation ◽

Eichhornia Crassipes ◽

Clonal Plant ◽

Issr Markers ◽

Rapd And Issr

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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

Biologia ◽

10.1515/biolog-2015-0132 ◽

2015 ◽

Vol 70 (9) ◽

pp. 1159-1171

Author(s):

Özay Hasan Evren ◽

Ertuǧrul Yüzbaşıoǧlu ◽

Mehmet Yaşar Dadandı

Keyword(s):

Genetic Diversity ◽

Genetic Variation ◽

Genetic Distance ◽

Issr Markers ◽

Morphological Data ◽

Quantitative Characters ◽

Wilks Lambda ◽

Molecular Aspects ◽

Species Specific ◽

Rapd And Issr

Abstract In this study, intra-specific genetic variation and inter-specific genetic relation were investigated among Phlomis oppositiflora, P. kurdica, P. × melitenense (P. kurdica × oppositiflora), P. capitata and P. kurdica × capitata by using RAPD and ISSR markers. The hybridity of P. × melitenense and P. kurdica × capitata samples was also surveyed in terms of morphological and molecular aspects. Except for two, all bands obtained from RAPD (707 bands) and ISSR (651 bands) analyses were polymorphic. The lowest genetic distance values obtained from RAPD and ISSR analyses were 0.0156 (between P. × melitenense and P. kurdica) and 0.0142 (between P. × melitenense and P. kurdica) respectively. The highest genetic distance values obtained from RAPD and ISSR analyses were 0.0866 (between P. kotschyana and P. oppositiflora) and 0.1237 (between P. kotschyana and P. kurdica × capitata) respectively. While P. kurdica indicated the highest genetic diversity (H = 0.1572; I = 0.2646) in RAPD analysis, P. capitata displayed the highest genetic diversity (H = 0.1403; I = 0.2329) in ISSR analysis. AMOVA results showed that 86% and 75% of the total variance resided within groups based on RAPD and ISSR markers, respectively. Based on the RAPD and ISSR results, both P. × melitenense and P. kurdica × capitata samples inherited species specific bands from their parental species, which confirms their hybridity. Although both P. × melitenense and P. kurdica × capitata hybrids showed a morphological mosaic between their parental phenotypes in terms of the majority of the quantitative characters examined, P. × melitenense and P. kurdica × capitata exceeded their parental phenotypes in terms of the three and 11 quantitative characters respectively. MANOVA results from the morphological data showed significant distinction among P. kurdica, P. oppositiflora, P. × melitenense, P. capitata and P. kurdica × capitata (Wilks’ Lambda = 0.003; df = 112; P < 0.01). Average pollen fertilities of P. oppositiflora, P. × melitenense, P. capitata, P. kurdica and P. kurdica × capitata were 93.44%, 68.42%, 93.28 %, 90.12% and 92.77% respectively.

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