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Reverse BSA-QTLseq: A new genotype-driven bioinformatics approach for simultaneous trait mapping.

Salvatore Esposito1, Nunzio D'Agostino2, Francesca Taranto3

  • 1Institute of Biosciences and Bioresources (CNR-IBBR), 80055 Portici, Naples, Italy; Council for Agricultural Research and Economics (CREA), Research Centre for Cereal and Industrial Crops (CREA-CI), 71122 Foggia, Italy.

Plant Communications
|November 9, 2025
PubMed
Summary

This study introduces reverse BSA-QTLseq, a novel bioinformatics method for mapping multiple crop traits simultaneously. This approach enhances quantitative trait loci (QTL) discovery and accelerates genetic improvement in breeding programs.

Keywords:
RNA sequencingbread wheatbulked segregant analysisexome captureheading timemulti-omicsplant heightsingle-nucleotide polymorphisms

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Area of Science:

  • Genetics
  • Plant Breeding
  • Bioinformatics

Background:

  • Bulked segregant analysis (BSA) is crucial for identifying genomic loci linked to crop traits.
  • Conventional BSA faces limitations in scalability and single-trait analysis due to phenotype-driven bulk sampling.

Purpose of the Study:

  • Introduce reverse BSA-QTLseq, a novel genotype-driven method for simultaneous multi-trait mapping.
  • Enable cost-effective identification of divergent lines for enhanced quantitative trait loci (QTL) discovery.
  • Facilitate in silico reconstruction of trait-specific bulks for efficient genetic analysis.

Main Methods:

  • Employs a two-step strategy: low-resolution genotyping followed by high-resolution sequencing of selected bulks.
  • Utilizes bioinformatics for genotype-driven bulk reconstruction, enabling in silico trait-specific bulk creation.
  • Integrates transcriptional profiles from parental lines to identify candidate genes and regulatory networks.

Main Results:

  • Successfully mapped QTLs for heading date and plant height in bread wheat, confirming ~95% of known loci.
  • Identified novel QTLs and candidate loci with significant phenotypic effects, including dwarfing and flowering-time genes.
  • Revealed candidate genes and networks related to photoperiod response, nutrient transport, and stress adaptation.

Conclusions:

  • Reverse BSA-QTLseq offers a versatile, data-reusable approach for advanced QTL mapping.
  • Significantly advances marker-assisted breeding and selection programs in crops.
  • Future integration with transcriptomic and epigenomic data will further enhance crop genetic improvement.