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Quantitative Trait Loci (QTL) meta-analysis relies on compiling QTL data from multiple independent genetic backgrounds and/or environments to detect stable and reliable meta-QTL (mQTL), and potentially increase their mapping resolution, thus prioritizing genomics regions to implement marker-assisted selection (MAS) and, eventually, positional cloning. This review summarizes insights obtained by meta-analyses based on QTL mapped in durum wheat, considering all relevant agronomic traits from biotic and abiotic resistance, to yield and quality performance. Meta-analysis output may increase selection accuracy and efficiency, thus enhancing genetic gains in durum wheat breeding programs. The availability of the durum wheat reference genome facilitates hypothesizing candidates among genes that underline meta-QTL, thus opening to integration with transcriptome data, haplotype information, and marker–trait associations (MTAs) from genome-wide association studies. Lastly, the inclusion of both bread and durum wheat studies in meta-QTL analyses identifies shared and specific trait variation and thus might suggest loci to transfer across the two species in the breeding programs.

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Meta-Analysis of QTL in Durum Wheat: State of the Art and Perspectives in the Post-genome Era

  • 章节

  • 发表日期：

    2026年

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  • Daniela Marone,
  • Jose Miguel Soriano,
  • Elisabetta Mazzucotelli

摘要

Quantitative Trait Loci (QTL) meta-analysis relies on compiling QTL data from multiple independent genetic backgrounds and/or environments to detect stable and reliable meta-QTL (mQTL), and potentially increase their mapping resolution, thus prioritizing genomics regions to implement marker-assisted selection (MAS) and, eventually, positional cloning. This review summarizes insights obtained by meta-analyses based on QTL mapped in durum wheat, considering all relevant agronomic traits from biotic and abiotic resistance, to yield and quality performance. Meta-analysis output may increase selection accuracy and efficiency, thus enhancing genetic gains in durum wheat breeding programs. The availability of the durum wheat reference genome facilitates hypothesizing candidates among genes that underline meta-QTL, thus opening to integration with transcriptome data, haplotype information, and marker–trait associations (MTAs) from genome-wide association studies. Lastly, the inclusion of both bread and durum wheat studies in meta-QTL analyses identifies shared and specific trait variation and thus might suggest loci to transfer across the two species in the breeding programs.