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...
| Main Authors: | , , , , , , |
|---|---|
| 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 |
| _version_ | 1796970110324310016 |
|---|---|
| author | Lee, H. H. Neoh, P. P. N. Bong, W. S. T. Puvaneswaran, J. Wong, Sie Chuong Hung, Yiu Pang Amarthalingam, Rajan |
| 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. |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T07:53:12Z |
| format | Article |
| id | upm.eprints-22186 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:53:12Z |
| publishDate | 2011 |
| publisher | Universiti Putra Malaysia Press |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | Genotyping of Sarawak rice cultivars using microsatellite markers |
| title_sort | genotyping of sarawak rice cultivars using microsatellite markers |
| url | http://psasir.upm.edu.my/id/eprint/22186/1/Genotyping%20of%20Sarawak%20rice%20cultivars%20using%20microsatellite%20markers.pdf |
| work_keys_str_mv | AT leehh genotypingofsarawakricecultivarsusingmicrosatellitemarkers AT neohppn genotypingofsarawakricecultivarsusingmicrosatellitemarkers AT bongwst genotypingofsarawakricecultivarsusingmicrosatellitemarkers AT puvaneswaranj genotypingofsarawakricecultivarsusingmicrosatellitemarkers AT wongsiechuong genotypingofsarawakricecultivarsusingmicrosatellitemarkers AT hungyiupang genotypingofsarawakricecultivarsusingmicrosatellitemarkers AT amarthalingamrajan genotypingofsarawakricecultivarsusingmicrosatellitemarkers |