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Related Experiment Video

Updated: Jan 11, 2026

Environmentally Induced Heritable Changes in Flax
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Optimizing core collections for genetic studies: a worldwide flax germplasm case study.

Matthieu Gouy1, Matthieu Bogard1, Faharidine Mohamadi2

  • 1ARVALIS, SAGeP, Baziège, France.

Frontiers in Plant Science
|November 12, 2025
PubMed
Summary

Developing optimal core collections for flax (Linum usitatissimum L.) requires balancing genetic diversity and representativeness. A new approach combining Shannon index and allelic coverage enhances quantitative trait loci (QTL) detection for genome-wide association studies (GWAS).

Keywords:
Western European flax breedingcore collectionflax (linum usitatissimum l.)genetic diversityoptimization criteriaquantitative trait loci (QTLs)

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Area of Science:

  • Plant genetics
  • Bioinformatics
  • Agricultural science

Background:

  • Core collections are crucial for genetic research, aiming to retain genetic diversity and allele frequencies from larger germplasm sets.
  • Existing strategies for core collection development often prioritize either diversity or representativeness, rarely optimizing for both or for quantitative trait loci (QTL) detection.
  • Flax (Linum usitatissimum L.) germplasm exhibits significant genetic structure influenced by cultivation type, growth cycle, and geographic origin.

Purpose of the Study:

  • To analyze the genetic diversity of a worldwide flax germplasm collection.
  • To evaluate and develop optimized strategies for core collection design, balancing genetic diversity, representativeness, and QTL detection efficiency.
  • To identify an optimal approach for core collection development suitable for genome-wide association studies (GWAS) in structured populations.

Main Methods:

  • Genetic diversity analysis of 1,593 flax accessions using population structure analysis.
  • Evaluation of various core collection selection strategies, including diversity-oriented, representativeness-focused, and genomic selection approaches.
  • Simulation of QTLs to assess the performance of different core collection designs in capturing genetic signals.

Main Results:

  • The flax germplasm showed moderate overall genetic diversity (He = 0.22), with distinct clusters based on cultivation purpose, growth cycle, and origin.
  • Oilseed flax clusters exhibited higher genetic diversity (He = 0.21–0.27) compared to fiber flax clusters (He < 0.17).
  • A trade-off exists between maximizing diversity and ensuring representativeness; an approach combining Shannon index and allelic coverage proved optimal for GWAS in structured populations, yielding a core collection of 409 accessions.

Conclusions:

  • Optimized core collections require a balance between genetic diversity and representativeness for effective genetic research.
  • The developed strategy, integrating Shannon index and allelic coverage, enhances the utility of core collections for GWAS in flax.
  • This research provides a framework for creating tailored core collections to improve the efficiency of genetic studies and breeding programs.