Molecular characterization and relationship among wild and partially cultivated Rosa species
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Rosa species, morphological markers, SSR markers, characterization, genetic diversityIssue
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Copyright (c) 2022 Indian Journal of Horticulture

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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.
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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.