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Genotyping of Sarawak rice cultivars using microsatellite markers

Genetic diversity of 53 Sarawak rice cultivars, originating from Southern Sarawak, was assessed using 54 microsatellite markers. Initial polymorphism detection was conducted using 54 primer pairs distributed on 12 rice chromosomes. Polymorphic markers were chosen from the initial screening results i...

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Main Authors: Lee, H. H., Neoh, P. P. N., Bong, W. S. T., Puvaneswaran, J., Wong, Sie Chuong, Hung, Yiu Pang, Amarthalingam, Rajan
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2011
Online Access:http://psasir.upm.edu.my/id/eprint/22186/1/Genotyping%20of%20Sarawak%20rice%20cultivars%20using%20microsatellite%20markers.pdf
http://psasir.upm.edu.my/id/eprint/22186/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JTAS%20Vol.%2034%20(1)%20Feb.%202011/15%20Pg%20123-136.pdf
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spelling my.upm.eprints.221862015-10-05T01:26:29Z http://psasir.upm.edu.my/id/eprint/22186/ Genotyping of Sarawak rice cultivars using microsatellite markers Lee, H. H. Neoh, P. P. N. Bong, W. S. T. Puvaneswaran, J. Wong, Sie Chuong Hung, Yiu Pang Amarthalingam, Rajan Genetic diversity of 53 Sarawak rice cultivars, originating from Southern Sarawak, was assessed using 54 microsatellite markers. Initial polymorphism detection was conducted using 54 primer pairs distributed on 12 rice chromosomes. Polymorphic markers were chosen from the initial screening results in order to obtain microsatellite marker panels that can differentiate the rice cultivars undertaken in the study. The chosen microsatellite marker panel consisted of RM1, RM240, RM489, RM252, RM413, RM204, RM11, RM404, RM316, RM271, RM206, and RM19, with one representative from each chromosome. A total of 43 alleles were detected with an average of 3.58 alleles per locus. The polymorphism information content (PIC) values obtained from the microsatellite marker panels ranged from 0.306 to 0.730, with an average of 0.622. The Unweighted Pair Group Method with Arithmetic Mean (UPGMA) dendrogram (r = 0.789) revealed 2 major groups with 6 sub-clusters and the wide range of similarity values (0.24-1.0) obtained showed a high degree of diversity among the cultivars. The results suggest microsatellite markers as a useful tool for the estimation of genetic diversity and cultivar differentiation and present invaluable genetic information for future breeding and association mapping efforts. Universiti Putra Malaysia Press 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/22186/1/Genotyping%20of%20Sarawak%20rice%20cultivars%20using%20microsatellite%20markers.pdf Lee, H. H. and Neoh, P. P. N. and Bong, W. S. T. and Puvaneswaran, J. and Wong, Sie Chuong and Hung, Yiu Pang and Amarthalingam, Rajan (2011) Genotyping of Sarawak rice cultivars using microsatellite markers. Pertanika Journal of Tropical Agricultural Science, 34 (1). 123 - 136. ISSN 1511-3701 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JTAS%20Vol.%2034%20(1)%20Feb.%202011/15%20Pg%20123-136.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Genetic diversity of 53 Sarawak rice cultivars, originating from Southern Sarawak, was assessed using 54 microsatellite markers. Initial polymorphism detection was conducted using 54 primer pairs distributed on 12 rice chromosomes. Polymorphic markers were chosen from the initial screening results in order to obtain microsatellite marker panels that can differentiate the rice cultivars undertaken in the study. The chosen microsatellite marker panel consisted of RM1, RM240, RM489, RM252, RM413, RM204, RM11, RM404, RM316, RM271, RM206, and RM19, with one representative from each chromosome. A total of 43 alleles were detected with an average of 3.58 alleles per locus. The polymorphism information content (PIC) values obtained from the microsatellite marker panels ranged from 0.306 to 0.730, with an average of 0.622. The Unweighted Pair Group Method with Arithmetic Mean (UPGMA) dendrogram (r = 0.789) revealed 2 major groups with 6 sub-clusters and the wide range of similarity values (0.24-1.0) obtained showed a high degree of diversity among the cultivars. The results suggest microsatellite markers as a useful tool for the estimation of genetic diversity and cultivar differentiation and present invaluable genetic information for future breeding and association mapping efforts.
format Article
author Lee, H. H.
Neoh, P. P. N.
Bong, W. S. T.
Puvaneswaran, J.
Wong, Sie Chuong
Hung, Yiu Pang
Amarthalingam, Rajan
spellingShingle Lee, H. H.
Neoh, P. P. N.
Bong, W. S. T.
Puvaneswaran, J.
Wong, Sie Chuong
Hung, Yiu Pang
Amarthalingam, Rajan
Genotyping of Sarawak rice cultivars using microsatellite markers
author_facet Lee, H. H.
Neoh, P. P. N.
Bong, W. S. T.
Puvaneswaran, J.
Wong, Sie Chuong
Hung, Yiu Pang
Amarthalingam, Rajan
author_sort Lee, H. H.
title Genotyping of Sarawak rice cultivars using microsatellite markers
title_short Genotyping of Sarawak rice cultivars using microsatellite markers
title_full Genotyping of Sarawak rice cultivars using microsatellite markers
title_fullStr Genotyping of Sarawak rice cultivars using microsatellite markers
title_full_unstemmed Genotyping of Sarawak rice cultivars using microsatellite markers
title_sort genotyping of sarawak rice cultivars using microsatellite markers
publisher Universiti Putra Malaysia Press
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/22186/1/Genotyping%20of%20Sarawak%20rice%20cultivars%20using%20microsatellite%20markers.pdf
http://psasir.upm.edu.my/id/eprint/22186/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JTAS%20Vol.%2034%20(1)%20Feb.%202011/15%20Pg%20123-136.pdf
_version_ 1643827754011983872
score 13.211869

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