Table 2 Short- vs long-term benefits of super-pangenomes for fast-forward breeding

From: From the genome to super-pangenome: a new paradigm for accelerated crop improvement

Benefits

Key impacts and description

Short-term

 Comprehensive variant discovery

Reduces reference bias and discovers rare alleles and SVs missed by SNP-only approaches; improves trait resolution for stress, yield, and quality

 Improved marker-trait associations

Improves QTL/GWAS accuracy and guides more effective marker-assisted selection

 Bridging wild and elite genomes

Aids the introgression of lost diversity from CWRs and landraces without restarting domestication

 Better decision support in pre-breeding

Guides the selection of introgression lines and breeding parents, uniquely for traits regulated by SVs

Long-term

 Haplotype-assisted genomic prediction

Improves prediction accuracy for complex traits by integrating SVs and haplotype blocks into GS models

 Pan-genome-driven genome editing

Delivers a broad catalogue of functional targets for gene editing, including TEs, CREs, CNSs, and motifs

 Guiding improvement in underutilized crops

Discovers novel traits and domestication avenues in orphan crops and increases improvement efforts across germplasm pools

 Systems-level future crop design

Combines pan-genomics, multi-omics, and AI to enable de novo design of crop genotypes based on trait architecture rather than phenotype alone

  1. (AI) Artificial intelligence, cis-regulatory elements (CREs) conserved noncoding sequences (CNSs) crop wild relatives (CWRs) genome-wide association study (GWAS) genomic selection (GS) quantitative trait loci (QTLs) single nucleotide polymorphisms (SNPs) structural variations (SVs) transposable elements (TEs).