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Updated: Mar 16, 2026

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing
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Exploring Genetic Diversity in Plants Using High-Throughput Sequencing Techniques.

Yoshihiko Onda1, Keiichi Mochida2

  • 1Cellulose Production Research Team, Biomass Engineering Research Division, RIKEN Center for Sustainable Resource Science, Kanagawa,Japan;; Kihara Institute for Biological Research, Yokohama City University, Kanagawa,Japan;

Current Genomics
|August 9, 2016
PubMed
Summary
This summary is machine-generated.

Exploring plant genetic diversity using next-generation sequencing (NGS) is crucial for improving crop productivity and ensuring global food security. This review covers diversity sources, NGS tools, and genetic approaches for identifying valuable crop traits.

Keywords:
Crop improvementGWASGenetic diversityGenotypingNGS technologyQTL analysis

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Area of Science:

  • Plant genomics and genetics
  • Agricultural science
  • Biotechnology

Background:

  • Rising global population necessitates increased crop productivity to ensure food security.
  • Plant genetic diversity is key to adaptation and developing traits for food security challenges.
  • Traditional methods for exploring genetic diversity are often insufficient for rapid trait identification.

Purpose of the Study:

  • To review sources of genetic diversity in plant populations.
  • To explore advanced high-throughput sequencing techniques (next-generation sequencing or NGS) for mining genetic diversity.
  • To discuss genetic approaches like quantitative trait locus analysis and genome-wide association studies in crop genomics.

Main Methods:

  • Review of scientific literature on plant genetic diversity.
  • Analysis of the synergy between next-generation sequencing (NGS) technologies and genetic diversity-mining tools.
  • Examination of quantitative trait locus (QTL) analysis and genome-wide association studies (GWAS) for trait identification.

Main Results:

  • Next-generation sequencing (NGS) offers powerful solutions for comprehensive genetic diversity exploration.
  • Synergistic application of NGS with diversity-mining tools accelerates the identification of valuable genes and alleles.
  • Integrated genetic approaches enhance the understanding of complex traits related to crop improvement.

Conclusions:

  • Harnessing plant genetic diversity through advanced NGS technologies is vital for addressing food security.
  • The reviewed tools and approaches provide a framework for rapid trait discovery in crop genomics.
  • Continued research in crop genomics is essential for sustainable agriculture and global food supply.