Diversity analysis of Central Asia and Caucasian lentil (Lens culinaris Medik.) germplasm using SSR fingerprinting
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Diversity analysis was performed among 39 cultivated lentil (Lens culinaris Medik.) accessions of Central Asia and Caucasian origin using five highly polymorphic microsatellite markers. A total of 33 alleles determined ranging from 3 to 8 per locus. Estimated gene diversity value for 33 loci was 0.66. Genetic similarity indices among 39 accessions ranged from 0.24 to 1.0. Cluster analysis using the unweighted pair group method with arithmetic mean method classified accessions into six major groups at 0.5 similarity coefficient. More than half accessions from Tajikistan formed large cluster. On the other hand, a few accessions from each country showed unique genotypes. Overall, most of the accessions, except ones with closely related origin, were distinguished by the present high quality DNA fingerprinting. This molecular diversity information gives important basis for conservation strategy in gene bank and exotic germplasm introduction in breeding programs in Central Asia and Caucasian countries.
KeywordsDNA fingerprinting Genetic diversity Lens culinaris Medik. Lentil SSRs
We thank Drs. Durna Aliyeva and Zarifa Suleymanova from Institute of Botany of ANAS for highly skilled technical assistance. Many thanks to ICARDA for providing seeds and its financial support for competition of research work. The authors are grateful to Dr. Kazuhiro Sato, Okayama University for critical reading of the manuscript.
- Barulina HI (1930) Lentils of the USSR and other countries. Bull Appl Bot Plant Breed Leningrad Suppl 40:1–319Google Scholar
- Datta S, Sourabh B, Kumari J, Kumar Sh (2007) Molecular diversity analysis of lentil genotypes. Pulses newsletter. Indian Institute of Pulses Research, Kanpur. Vol 18(2), 2 ppGoogle Scholar
- Jarvis D, Sthapit B, Sears L (2000) Conserving agricultural biodiversity in situ: a scientific basis for sustainable agriculture. International Plant Genetic Resources Institute, RomeGoogle Scholar
- Joshi RK, Behera L (2006) Identification and differentiation of indigenous non-Basmati aromatic rice genotypes of India using microsatellite markers. Afr J Biotechnol 6(4):348–354Google Scholar
- Rohlf FJ (2000) NTSYS-pc numerical taxonomy and multivariate analysis system, version 2.1. Exeter Publ, New YorkGoogle Scholar
- Weir BS (1990) Genetic-data analysis methods for discrete genetic data. Sinauer Assoc Inc., SunderlandGoogle Scholar