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A sorghum pangenome reference improves global crop trait discovery.

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This study introduces a sorghum pangenome and diversity panel to explore crop genetic diversity. It reveals structural variations in key genes, aiding in accelerated breeding and trait discovery for improved crop resilience.

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Area of Science:

  • Plant genetics
  • Crop science
  • Bioinformatics

Background:

  • Global food security relies on diverse, locally-adapted crops from smallholder farms, not just industrialized agriculture.
  • Sorghum, a vital grain and bioenergy crop, possesses significant genetic diversity crucial for improvement.
  • Breeding efforts are often limited by highly specialized traits and breeding targets.

Purpose of the Study:

  • To construct a comprehensive sorghum pangenome reference and diversity panel.
  • To investigate the genetic diversity, historical adaptation, and structural variations within sorghum cultivars and landraces.
  • To demonstrate pangenome-accelerated trait discovery by linking genetic variation to phenotypic traits.

Main Methods:

  • Construction of a 33-member pangenome reference and a diversity panel (1,984 cultivars/landraces).
  • Analysis of structural variants, particularly in the SHATTERING1 domestication gene.
  • Application of landscape genomics to study gene flow and adaptation.
  • Correlation of structural variation in biosynthetic gene clusters with dhurrin concentration.

Main Results:

  • Identification of multiple nested and deeply diverged structural variants in SHATTERING1, supporting sorghum's multicentric origin.
  • Uncovering the complex genetic mosaic in contemporary breeding networks shaped by gene flow and secondary contact.
  • Demonstrated a link between structural variation in biosynthetic gene clusters and dhurrin levels in sorghum leaves.

Conclusions:

  • The developed pangenome and diversity panel are valuable resources for sorghum genetic improvement.
  • Understanding structural diversity is key to unlocking the potential of crop genetic resources.
  • This framework accelerates breeding and trait discovery, applicable to other crop species.