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<p>Knowledge of olive (<i>Olea europaea</i> L.) genetic diversity is vital for germplasm conservation and breeding programs and underpins reliable cultivar authentication. We assessed genetic diversity and structure in 12 Turkish olive cultivars using peroxidase gene-based (POX) and sequence-related amplified polymorphism (SRAP) markers. Fourteen POX primers yielded 136 bands (86.0% polymorphic; mean PIC = 0.59), and 12 SRAP combinations produced 120 bands (81.7%; PIC = 0.51). Dice similarities ranged 0.63–0.88, with close (G2–G3) and divergent (G4) genotypes. PCoA/UPGMA and STRUCTURE analyses, applied to this 12-cultivar panel, suggested two subpopulations (K = 2), with admixture in several cultivars. Leave-one-out machine-learning models broadly reproduced the STRUCTURE grouping and localized errors to admixed individuals, indicating moderate but usable discriminatory power within this dataset. POX showed slightly higher mean informativeness than SRAP, while top SRAP loci reached PIC ≈ 0.80. To our knowledge, this is among the first reports applying POX to cultivated olive diversity and demonstrates the complementary, cost-effective value of POX+SRAP for conservation, fingerprinting, and parent selection.</p>

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Genetic diversity and population structure in Olea europaea L. using peroxidase gene-based (POX) and SRAP markers

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月17日

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  • Ömer Faruk Coşkun,
  • Seher Toprak,
  • Murat Çelik

摘要

Knowledge of olive (Olea europaea L.) genetic diversity is vital for germplasm conservation and breeding programs and underpins reliable cultivar authentication. We assessed genetic diversity and structure in 12 Turkish olive cultivars using peroxidase gene-based (POX) and sequence-related amplified polymorphism (SRAP) markers. Fourteen POX primers yielded 136 bands (86.0% polymorphic; mean PIC = 0.59), and 12 SRAP combinations produced 120 bands (81.7%; PIC = 0.51). Dice similarities ranged 0.63–0.88, with close (G2–G3) and divergent (G4) genotypes. PCoA/UPGMA and STRUCTURE analyses, applied to this 12-cultivar panel, suggested two subpopulations (K = 2), with admixture in several cultivars. Leave-one-out machine-learning models broadly reproduced the STRUCTURE grouping and localized errors to admixed individuals, indicating moderate but usable discriminatory power within this dataset. POX showed slightly higher mean informativeness than SRAP, while top SRAP loci reached PIC ≈ 0.80. To our knowledge, this is among the first reports applying POX to cultivated olive diversity and demonstrates the complementary, cost-effective value of POX+SRAP for conservation, fingerprinting, and parent selection.