Panvariome and pangenome of 1,020 global peach accessions shed light on evolution patterns, hidden natural variations, and efficient gene discovery
Visualitza/Obre
Autor/a
Data de publicació
2025-06-02ISSN
1674-2052
Resum
Natural variations are the foundation of crop improvement. However, genomic variability remains largely
understudied. Here, we present the full-spectrum integrated panvariome and pangenome of 1,020 peach
accessions, including 10.5 million single-nucleotide polymorphisms, insertions, deletions, duplications, inversions, translocations, copy-number variations, transposon-insertion polymorphisms, and presence–
absence variations, uncovering 70.6% novel variants and 3,289 novel genes. Analysis of the panvariome
recapitulated the global evolutionary history of the peach and identified several novel trait-causally rare
variants. We found that landraces and improved accessions encode more genes than the wild accessions,
implying gene gains during peach domestication and improvement. Analysis of global introgression patterns revealed their value in phenotype prediction and gene mining, and suggested that the most likely
wild progenitor of the domesticated peach is Prunus mira and that almond was involved in the origin of Prunus davidiana. Furthermore, we developed a novel panvariome-based one-step solution for association study, GWASPV, which was used to identify several trait-conferring genes and over 2,000 novel associations.. Collectively, our study reveals new insights into peach evolution and genomic variations, providing a novel method for plant gene mining and important targets for peach breeding.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
Anglès
Matèries (CDU)
633 - Cultius i produccions
Pàgines
19
Publicat per
Cell Press
Publicat a
Molecular Plant
Citació recomanada
Li, Yong, Pere Arús, Jinlong Wu, Gengrui Zhu, Weichao Fang, Changwen Chen, Xinwei Wang, Ke Cao, and Lirong Wang. 2025. “Panvariome and pangenome of 1,020 global peach accessions shed light on evolution patterns, hidden natural variations and efficient gene discovery.” Molecular Plant, 18(6): 995-1013. https://doi.org/10.1016/j.molp.2025.04.009.
Programa
Genòmica i Biotecnologia
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