ArticleNature genetics2026
Graph-based pangenome reveals structural variation dynamics during cucumber breeding.
Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Univariate and multivariate QTL analyses provide insights into genetic architecture of variation of key volatile aroma compounds in cucumber (Cucumis sativus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Cucurbitacins in Plant-Insect Interactions: Biosynthesis, Regulation, Ecological Functions, and Prospects for Crop Protection.Plants (Basel, Switzerland) · 2026Review
- Pangenome-resolved structural variation drives adaptation and trait evolution in cucumber.Nature genetics · 2026Article
- Pan-genome analysis reveals structural variation- associated expression and evolutionary diversity of theFrontiers in plant science · 2026Article
- Harnessing the untapped genetic diversity of local landraces: omics technologies as a gateway to horticultural breeding.Frontiers in plant science · 2026Review
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
Structural variants (SVs) represent an important yet underexplored component of plant genome diversity. Here we present a graph-based cucumber pangenome constructed from 39 reference-quality genomes, including 27 newly assembled and 12 previously published. The pangenome captures 171,892 high-confidence SVs, which were genotyped across 447 wild and cultivated accessions. Our analyses reveal that, during cucumber domestication, a substantial portion of mildly deleterious SNPs were retained, whereas SVs were consistently purged, highlighting their highly deleterious nature. During geographical expansion, a reduced SV burden and a younger age of SVs compared to SNPs were observed, suggesting stronger purifying selection acting on SVs. Introgressions from wild populations increased SV burden, potentially due to hitchhiking. Notably, incorporating SV burden into genomic prediction models improved prediction accuracy for several agronomically important traits. This study illuminates SV dynamics during cucumber domestication and range expansion and underscores the implications of SVs for future cucumber breeding.
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Registered trials
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