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<p>Breeding climate-resilient crops with high tolerance to abiotic and biotic stresses represents a major challenge in responding to climate change. The present study evaluated new sesame lines under drought conditions, which required the implementation of multi-environment experiments (MET) with the aim of identifying the most productive and stable sesame lines combining phenotypic evaluation, SCoT-PCR markers, and bioinformatics analysis. Seed yield was assessed across 18 limited irrigation environments, revealing significant genotype-by-environment interactions. Four stable, high-yielding lines (C5-8, C6-9, C6-11, and C9-3) were identified under optimal and drought conditions using parametric and non-parametric statistics, AMMI, and GGE biplot analysis. SCoT-PCR analysis revealed a reasonable level of genetic diversity among the genotypes, with primer SCoT-21 showing the highest polymorphism (88.24%). Bioinformatics analysis of SCoT-21 and 28 amplified regions identified potential genes associated with drought tolerance, including a DNA repair helicase XPD gene and a malonyl-coenzyme: anthocyanin 5-O-glucoside-6′′′-O-malonyl transferase-like gene. These findings provide valuable insights for developing drought-resistant sesame varieties and highlight the power of integrating phenotypic, molecular, and Bioinformatics approaches in crop improvement.</p>

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Integrating phenotypic, molecular, and bioinformatics approaches for developing drought-tolerant sesame

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月1日

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  • Lamyaa M. Sayed,
  • Khaled Adly Mohamed Khaled,
  • Ghada M. Samaha,
  • Ayman Anter Saber

摘要

Breeding climate-resilient crops with high tolerance to abiotic and biotic stresses represents a major challenge in responding to climate change. The present study evaluated new sesame lines under drought conditions, which required the implementation of multi-environment experiments (MET) with the aim of identifying the most productive and stable sesame lines combining phenotypic evaluation, SCoT-PCR markers, and bioinformatics analysis. Seed yield was assessed across 18 limited irrigation environments, revealing significant genotype-by-environment interactions. Four stable, high-yielding lines (C5-8, C6-9, C6-11, and C9-3) were identified under optimal and drought conditions using parametric and non-parametric statistics, AMMI, and GGE biplot analysis. SCoT-PCR analysis revealed a reasonable level of genetic diversity among the genotypes, with primer SCoT-21 showing the highest polymorphism (88.24%). Bioinformatics analysis of SCoT-21 and 28 amplified regions identified potential genes associated with drought tolerance, including a DNA repair helicase XPD gene and a malonyl-coenzyme: anthocyanin 5-O-glucoside-6′′′-O-malonyl transferase-like gene. These findings provide valuable insights for developing drought-resistant sesame varieties and highlight the power of integrating phenotypic, molecular, and Bioinformatics approaches in crop improvement.