DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-6, Issue-4 ( Oct, 2018 ) | |||||||||
Paper Title |
Development of SSR Markers for Luffa cylindrica through In silico Mining | |||||||||
Author Name |
Ruchi Tyagi, Vinay Sharma, Manjusha Verma, Lalit Arya | |||||||||
Affilition |
Department of Bioscience and Biotechnology, Banasthali University, Banasthali, Rajasthan, India National Research Centre on DNA Fingerprinting, Division of Genomic Resources, IARI, New Delhi-110012, India | |||||||||
Pages |
32-39 | |||||||||
Abstract |
The database derived SSR proved more economical than other methods of development of SSR loci as SSRs were computationally obtained for the generation of primers. The use of this methodology for marker development appears a promising alternative. In the present study, 389 sequences of Luffa were downloaded from NCBI. The SSR identification and primer designing were done using WebSat software. 110 contained SSR motifs (28.3%) but most sequences were redundant containing similar motifs. Mononucleotide repeat was the most frequent repeats present in Luffa. Amongst dinucleotide repeat motifs, CT/TC was more abundant as compared to TA/GA type. All the repeats were perfect repeats. Out of 389 sequences, 46 primers (11.82%) designed. To our knowledge, this is the first comprehensive description of developing SSRs using in silico technique for Luffa cylindrica. All the SSR markers developed were analyzed for clustering, gene diversity and genetic structure study in Luffa cylindrica. Keywords - Luffa cylindrica, In silico mining, SSRs, Websat, Diversity | |||||||||
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