A catalogue of recombination coldspots in interspecific tomato hybrids

PLoS Genet. 2024 Jul 1;20(7):e1011336. doi: 10.1371/journal.pgen.1011336. eCollection 2024 Jul.

Abstract

Increasing natural resistance and resilience in plants is key for ensuring food security within a changing climate. Breeders improve these traits by crossing cultivars with their wild relatives and introgressing specific alleles through meiotic recombination. However, some genomic regions are devoid of recombination especially in crosses between divergent genomes, limiting the combinations of desirable alleles. Here, we used pooled-pollen sequencing to build a map of recombinant and non-recombinant regions between tomato and five wild relatives commonly used for introgressive tomato breeding. We detected hybrid-specific recombination coldspots that underscore the role of structural variations in modifying recombination patterns and maintaining genetic linkage in interspecific crosses. Crossover regions and coldspots show strong association with specific TE superfamilies exhibiting differentially accessible chromatin between somatic and meiotic cells. About two-thirds of the genome are conserved coldspots, located mostly in the pericentromeres and enriched with retrotransposons. The coldspots also harbor genes associated with agronomic traits and stress resistance, revealing undesired consequences of linkage drag and possible barriers to breeding. We presented examples of linkage drag that can potentially be resolved by pairing tomato with other wild species. Overall, this catalogue will help breeders better understand crossover localization and make informed decisions on generating new tomato varieties.

MeSH terms

  • Alleles
  • Chromosome Mapping
  • Chromosomes, Plant / genetics
  • Crossing Over, Genetic
  • Genetic Linkage
  • Genome, Plant*
  • Hybridization, Genetic
  • Meiosis / genetics
  • Plant Breeding
  • Recombination, Genetic*
  • Retroelements / genetics
  • Solanum lycopersicum* / genetics

Substances

  • Retroelements

Grants and funding

RRF was supported by the MEICOM Marie Sklodowska-Curie Innovative Training Network (ITN), H2020-MSCA-ITN-2017 Horizon 2020 Grant agreement number 765212. This work was supported by the Netherlands Top Consortium for Knowledge and Innovation (TKI project LWV19283 to SP). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.