Molecular characterization and relationship among wild and partially cultivated Rosa species

Published

2022-12-13

Keywords:

Rosa species, morphological markers, SSR markers, characterization, genetic diversity
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Authors

  • Aparna Veluru Division of Floriculture and Landscaping, ICAR-Indian Agricultural Research Institute, New Delhi- 110012, NCT Delhi India

Abstract

Knowledge of population structure and genetic relationships within and among wild rose (Rosa spp.) genotypes is important to enhance its use in breeding and conservation. In the present study, we assessed the diversity among 21 wild roses belonging to 7 sections of subgenera Rosa, using morphological (14) and molecular markers (48). The neighbor-joining (NJ) tree clustered the species into two major and four minor clusters based on morphological similarity. Of the used SSRs, 31 SSRs were found to be polymorphic within selected genotypes. The matching co-efficient value calculated for each pair of species revealed the highest (0.91) and lowest (0.386) genetic similarity between species Rosa brunonii (Synstyle) - R. indica major (Indicae) and R. multiflora (Synstyle) - R. slancensis (Caninae). The phylogenetic chart obtained using molecular data clustered the genotypes in two major clusters. R. bourboniana exhibited a distant relationship with the remaining 20 genotypes and clustered separately. All the species from Gallicanae and most of the Indicae section species were clustered together and showed genetic similarities with each other. Significant variability was noticed among cultivated R. damascene selections. A local fragrant loose flower variant namely ‘Kakinada Red’ which is cultivated widely in southern peninsular India under tropical climate showed genetic nearness with Damascena cv. Ranisahiba. The Bayesian analysis conducted among genotypes showed three distinct genetic groups (ΔK=3). Concerning the genetic variability among different sections, highest and lowest variability values were observed with Synstyle and Pimpinellifoliae, respectively.

How to Cite

Veluru, A. (2022). Molecular characterization and relationship among wild and partially cultivated Rosa species. Indian Journal of Horticulture, 79(4). Retrieved from https://journal.iahs.org.in/index.php/ijh/article/view/507

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References

Aparna, V., Bhat, K. V., Janakiram, T., Prasad,

K.V., Raju, D.V.S., Panwar, S., Namita, Singh,

K.P. 2019. Assessment of genetic diversity and

population structure of fragrant rose (Rosa ×

hybrida L.) cultivars using microsatellite markers.

Indian J. Agric. Sci. 89: 1964-70.

Aparna, V., Bhat, K. V., Janakiram, T., Prasad, K.

V., Raju, D. V. S., Bharadwaj, C., Amitha Mithra,

S., Namita, B., Singh, K.P., Panwar, S. 2020.

Characterization of Indian bred rose varieties

using morphological and molecular markers for

conservation and sustainable management.

Physiol. Mol. Biol. 26: 95-06.

Earl, D.A., and VonHoldt, B. M. 2012. Structure

Harvester: a website and program for visualizing

STRUCTURE output and implementing the

Evanno method. Conserv. Genet. Resour. 4:

-61.

Gaurav, A.K., Namita, N., Raju D.V.S.,

Ramkumar, M.K., Singh, M.K., Singh, B.,

Gopalakrishnan, S., Panwar, S., Amitha Mithra,

S. 2022. Genetic diversity analysis of wild

and cultivated Rosa species of India using

microsatellite markers and their comparison with

morphology based diversity. J. Plant Biochem.

Biotechnol. 31: 61-70.

Kimura, T., Nishitani, C., Iketani, H., Ban, Y. and

Yanamato, Y. 2006. Development of microsatellite

markers in rose. Mol. Ecol. Resour. 6: 210-12.

Panwar, S., Singh, K. P, Namita, and Sonah,

H. 2010. Genetic divergence analysis in rose

(Rosa× hybrida L.) using morphological markers.

J. Ornam. Hortic. 13: 122-26.

Panwar, S., Singh, K. P., Namita, Sonah,

H., Deshmukh, R. and Sharma, T.R. 2015.

Identification and characterization of

microsatellites in ESTs of Rosa species: Insight

in development of SSR markers. Indian J. Agric.

Sci. 85: 429-33.

Panwar, S., Singh, K. P., Sonah, H., Deshmukh,

P. K., Namita, Prasad, K. V. and Sharma, T. R.

Molecular fingerprinting and assessment

of genetic diversity in rose. Indian J. Biotechnol.

: 518-24.

Perrier, X. and Jacquemoud-Collet J. 2006.

DARwin software, Version 5.0. (http://darwin.

cirad.fr/darwin)

Rai, H., Raju, D. V. S., Kumar, A. M. B.,

Janakiram, T., Namita, Krishnan, G. and Rana, J.

C. 2015. Characterization and analysis of genetic

diversity among different species of rose using

morphological and molecular markers. Indian J.

Agric. Sci. 85: 240-45.

Rathore, D. S. and Srivastava, U. C. 1992. Rosa

species- a bulletin. National Bureau of Plant

Genetic Resources, Regional Station, Phagli,

Shimla, India

Rehder, A. 1940. Manual of cultivated trees and

shrubs hardy in North America. New York: Collier

Macmillan Ltd.

Stuart, T. G. 2004. The Graham Stuart Thomas

Rose book. London, England: Frances Lincoln

Limited

Veluru. A., Bhat, K. V., Janakiram, T., Prasad, K.

V., Raju, D. V. S., Bharadwaj, C., Gayacharan,

Singh, K.P., Namita, Panwar, S. 2019.

Understanding genetic diversity, structure and

population differentiation in selected wild species

and cultivated Indian and exotic rose varieties

based on microsatellite allele frequencies. Indian

J. Genet. 79: 583-93.

Wissemann, V. 2003. Conventional taxonomy

(wild roses). In: Roberts AV, Debener T and

Gudin S (eds.) Encyclopedia of Rose Science.

Amsterdam, Elsevier, pp 111-17.

Yan, Z., Denneboom, C., Hattendorf, A., Dolstra,

O., Debener, T., Stam, P. and Visser, P. B.

Construction of an integrated map of rose

with AFLP, SSR, PK, RGA, RFLP, SCAR and

morphological markers. Theor. Appl. Genet. 110:

-77.

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