ArticlePloS one2023
A pilot-scale comparison between single and double-digest RAD markers generated using GBS strategy in sesame (Sesamum indicum L.).
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A multidimensional core set development of sesame germplasm leveraging agro-morphological traits diversity for genetic improvement and climate resilience.Scientific reports · 2026Article
- Assessing genetic diversity and performing genome-wide association studies (GWAS) using multiple marker types across desi, kabuli, and wild accessions in chickpea (Cicer arietinum L.).The plant genome · 2025Article
- Development of a composite core collection from 5,856 Sesame accessions being conserved in the Indian National Genebank.BMC genomic data · 2025Article
- Comparative analysis of RAD-seq methods for SNP discovery and genetic diversity assessment in oil seed crop safflower.Scientific reports · 2025Article
- Morpho-Phenological, Chemical, and Genetic Characterization of Italian Maize Landraces from the Lazio Region.Plants (Basel, Switzerland) · 2024Article
- Chloroplast and whole-genome sequencing shed light on the evolutionary history and phenotypic diversification of peanuts.Nature genetics · 2024Article
- Double-digest restriction-associated DNA sequencing-based genotyping and its applications in sesame germplasm management.The plant genome · 2024Article
- Genetic diversity and signature of divergence in the genome of grapevine clones of Southern Italy varieties.Frontiers in plant science · 2023Article
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Authors and funding
13 authors.
Funding
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Abstract
To reduce the genome sequence representation, restriction site-associated DNA sequencing (RAD-seq) protocols is being widely used either with single-digest or double-digest methods. In this study, we genotyped the sesame population (48 sample size) in a pilot scale to compare single and double-digest RAD-seq (sd and ddRAD-seq) methods. We analysed the resulting short-read data generated from both protocols and assessed their performance impacting the downstream analysis using various parameters. The distinct k-mer count and gene presence absence variation (PAV) showed a significant difference between the sesame samples studied. Additionally, the variant calling from both datasets (sdRAD-seq and ddRAD-seq) exhibits a significant difference between them. The combined variants from both datasets helped in identifying the most diverse samples and possible sub-groups in the sesame population. The most diverse samples identified from each analysis (k-mer, gene PAV, SNP count, Heterozygosity, NJ and PCA) can possibly be representative samples holding major diversity of the small sesame population used in this study. The best possible strategies with suggested inputs for modifications to utilize the RAD-seq strategy efficiently on a large dataset containing thousands of samples to be subjected to molecular analysis like diversity, population structure and core development studies were discussed.
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