PlumX Metrics
Embed PlumX Metrics

Genetic relationship and diversity among coconut (Cocos nucifera L.) accessions revealed through SCoT analysis

3 Biotech, ISSN: 2190-5738, Vol: 5, Issue: 6, Page: 999-1006
2015
  • 64
    Citations
  • 0
    Usage
  • 64
    Captures
  • 0
    Mentions
  • 1
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

Article Description

Coconut (Cocos nucifera L.) is one of the important palms grown both as a homestead and plantation crop in countries and most island territories of tropical regions. Different DNA-based marker systems have been utilized to assess the extent of genetic diversity in coconut. Advances in genomics research have resulted in the development of novel gene-targeted markers. In the present study, we have used a simple and novel marker system, start codon targeted polymorphism (SCoT), for its evaluation as a potential marker system in coconut. SCoT markers were utilized for assessment of genetic diversity in 23 coconut accessions (10 talls and 13 dwarfs), representing different geographical regions. Out of 25 SCoT primers screened, 15 primers were selected for this study based on their consistent amplification patterns. A total of 102 scorable bands were produced by the 15 primers, 88 % of which were polymorphic. The scored data were used to construct a similarity matrix. The similarity coefficient values ranged between 0.37 and 0.91. These coefficients were utilized to construct a dendrogram using the unweighted pair group of arithmetic means (UPGMA). The extent of genetic diversity observed based on SCoT analysis of coconut accessions was comparable to earlier findings using other marker systems. Tall and dwarf coconut accessions were clearly demarcated, and in general, coconut accessions from the same geographical region clustered together. The results indicate the potential of SCoT markers to be utilized as molecular markers to detect DNA polymorphism in coconut accessions.

Bibliographic Details

M. K. Rajesh; A. A. Sabana; K. E. Rachana; Shafeeq Rahman; B. A. Jerard; Anitha Karun

Springer Nature

Biochemistry, Genetics and Molecular Biology; Environmental Science; Agricultural and Biological Sciences

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know