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Updated: Oct 29, 2025

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing
Published on: July 28, 2017
Skim sequencing: an advanced NGS technology for crop improvement
Pardeep Kumar1, Mukesh Choudhary, B S Jat
1ICAR-Indian Institute of Maize Research, PAU Campus, Ludhiana 141 004, India. pardeepkumar656@gmail.com.
Skim sequencing, a low-coverage whole-genome approach, offers a cost-effective method for identifying numerous polymorphic markers. This technique is valuable for crop improvement, enabling advancements in quantitative trait loci mapping and genome-wide association studies.
Area of Science:
- Genomics
- Molecular Biology
- Plant Breeding
Background:
- Next-generation sequencing (NGS) has advanced high-throughput genotyping, leading to methods like genotyping-by-sequencing (GBS) and RAD-seq.
- Reduced representation genome sequencing lowers costs but whole-genome approaches are becoming feasible with decreasing sequencing expenses.
Purpose of the Study:
- To review technological advancements, applications, and challenges of skim sequencing for crop improvement.
- To highlight skim sequencing's utility in identifying polymorphic markers cost-effectively.
Main Methods:
- Discussion of skim sequencing as a low-coverage whole-genome sequencing technique.
- Review of existing literature on skim sequencing protocols, bioinformatics tools, and applications.
Main Results:
- Skim sequencing enables cost-effective identification of a large number of polymorphic markers.
- The technique is applicable to diverse plant species for quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), and genetic map construction.
Conclusions:
- Skim sequencing offers a cost-effective, simple, and genomewide approach for genotyping in crop improvement.
- Its applications are expanding in plant breeding for genetic analysis and marker identification.
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