Research Article

A novel random amplified polymorphic DNA-based strategy for genetic diversity analysis and identification of tomatoes

Published: March 06, 2015
Genet. Mol. Res. 14 (1) : 1650-1661 DOI: https://doi.org/10.4238/2015.March.6.11
Cite this Article:
X. Cao, Z. Wu, R. Zhou, F.L. Jiang, Z.E. Yang (2015). A novel random amplified polymorphic DNA-based strategy for genetic diversity analysis and identification of tomatoes. Genet. Mol. Res. 14(1): 1650-1661. https://doi.org/10.4238/2015.March.6.11
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Abstract

Cultivar identification diagrams (CIDs) provide a rapid and efficient approach for identifying cultivars based on random amplified polymorphic DNA (RAPD) markers. In this paper, 64 tomato cultivars were identified using a CID. Using RAPD profiles, clustering analysis was performed to analyze genetic diversity. The results showed that 8 RAPD primers could completely separate the 64 cultivars according to the obtained polymorphic bands; a CID of the 64 tomato cultivars was then constructed. As verification of the CID validity, 8 randomly selected cultivars were investigated and proven to be well distinguished. In addition, 33 DNA bands were obtained, 20 (60.6%) of which were polymorphic. Genetic distances were calculated with a range of 0.032 to 1.402. Clustering analysis showed that the 64 tomato cultivars were divided into 4 groups with a similarity coefficient of 0.40. Using this novel strategy, with the same RAPD data, both CID and clustering analysis can simultaneously determine tomato cultivars and their genetic diversity.

Cultivar identification diagrams (CIDs) provide a rapid and efficient approach for identifying cultivars based on random amplified polymorphic DNA (RAPD) markers. In this paper, 64 tomato cultivars were identified using a CID. Using RAPD profiles, clustering analysis was performed to analyze genetic diversity. The results showed that 8 RAPD primers could completely separate the 64 cultivars according to the obtained polymorphic bands; a CID of the 64 tomato cultivars was then constructed. As verification of the CID validity, 8 randomly selected cultivars were investigated and proven to be well distinguished. In addition, 33 DNA bands were obtained, 20 (60.6%) of which were polymorphic. Genetic distances were calculated with a range of 0.032 to 1.402. Clustering analysis showed that the 64 tomato cultivars were divided into 4 groups with a similarity coefficient of 0.40. Using this novel strategy, with the same RAPD data, both CID and clustering analysis can simultaneously determine tomato cultivars and their genetic diversity.