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A pilot-scale comparison between single and double-digest RAD markers generated using GBS strategy in sesame (Sesamum
Pradeep Ruperao1, Prasad Bajaj1, Rajkumar Subramani2
1Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Comparing single and double-digest RAD-seq (sdRAD-seq and ddRAD-seq) in sesame, this study found combined variant data best identifies diverse samples for population genetics and core development studies.
Area of Science:
- Genomics
- Population Genetics
- Bioinformatics
Background:
- Restriction site-associated DNA sequencing (RAD-seq) is crucial for genome representation.
- Single-digest (sdRAD-seq) and double-digest (ddRAD-seq) are common RAD-seq methods.
- Evaluating RAD-seq protocol performance is vital for downstream genetic analyses.
Purpose of the Study:
- To compare the efficacy of sdRAD-seq and ddRAD-seq methods in sesame genotyping.
- To assess the impact of both protocols on downstream genetic analyses.
- To identify optimal strategies for large-scale RAD-seq applications in sesame.
Main Methods:
- Pilot-scale genotyping of a 48-sample sesame population using sdRAD-seq and ddRAD-seq.
- Analysis of short-read data, including k-mer counts and gene presence-absence variation (PAV).
- Variant calling and comparative analysis between sdRAD-seq and ddRAD-seq datasets.
Main Results:
- Significant differences observed in k-mer counts and gene PAV between sesame samples.
- Distinct variant calling results obtained from sdRAD-seq and ddRAD-seq protocols.
- Combined variants effectively identified the most diverse sesame samples and potential subgroups.
Conclusions:
- Combining sdRAD-seq and ddRAD-seq data enhances the identification of diverse samples.
- The most diverse samples identified can serve as representative individuals for population studies.
- Strategies for efficient large-scale RAD-seq implementation in sesame were discussed.
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