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Year : 2023, Volume : 25, Issue : 3
First page : ( 311) Last page : ( 318)
Print ISSN : 0972-0979. Online ISSN : 0974-4517. Published online : 2023  05.
Article DOI : 10.5958/0974-4517.2023.00036.8

Genetic Relatedness Analysis of Little Millet (Panicum sumatrense Roth. Ex Roem & Schult.) using RAPD Markers

Lakhani Komal G.1, Gamit Aishwarya J.1, Suthar Kirankumar P.1,*, Suthar H.G.2, Parekh Vipulkumar B.3, Kapadia Chintan4

1Department of Plant Molecular Biology and Biotechnology, Centre of Excellence on Post-Harvest Technology, Navsari Agricultural University (NAU), Navsari - 396 450, Gujarat (India)

2Centre of Excellence on Post-Harvest Technology, Navsari Agricultural University (NAU), Navsari - 396 450, Gujarat (India)

3Department of Basic Sciences & Humanities, College of Forestry, NAU, Navsari, Gujarat (India)

4ASPEE SHAKILAM Biotechnology Institute, NAU, Surat - 395 007, Gujarat (India)

*e-mail: kiransuthar@nau.in

Online Published on 05 September, 2023.

Received:  13  ,  2023; Accepted:  02  ,  2023.

Abstract

Little millet, having a significant nutritional value, has not been exploited to its true potential so remains underutilized. The molecular relatedness analysis of available genotypes is a crucial step in crop improvement and germplasm conservation of millets. The present study evaluated genetic relatedness among 16 little millet genotypes, collected from Dang region of Gujarat (India), using random amplified polymorphic DNA (RAPD) markers. Initially, a total of 120 RAPD primers were screened, of which only 25 RAPD primers produced distinct bands so were used for further analysis. RAPD analysis with selected 25 decamer primers amplified a total of 193 bands with amplicon sizes in between 50-2392 bp. There were 126 polymorphic bands (64.25%) with mean polymorphic bands of 5.04 per primer. The maximum marker index of 41.25, maximum polymorphic information content of 0.59 and maximum RAPD primer index of 5.69 were recorded in primers OPC-13, OPC-17, and OPA-12, respectively. The RAPD primers OPA-12, OPC-13, and OPC-17 proved most efficient for genetic relatedness analysis in little millet. The Jaccard's similarity coefficient among the genotypes was in the range of 0.53 to 0.98 revealing a moderate genetic diversity among the available genotypes. The dendrogram divided 16 genotypes of little millet into two major clusters and further subclusters, demonstrating that RAPD technique was effective to distinguish the studied genotypes. The dendrogram and PCoA analysis revealed that genotypes WV-151 and WV-161 were highly diverse. These genotypes along with genetic relatedness established in this study can be exploited in future little millet improvement programs with conventional and molecular breeding methods.

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Keywords

Genetic relatedness, Little millet, Molecular marker, RAPD.

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