ArticleGenome research2024
Major impacts of widespread structural variation on sorghum.
Article in Genome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 14 citations in OpenAlex.
- Accelerating iron biofortification in millets: progress, challenges, and future prospects.Planta · 2026Review
- Integrating deep learning and pangenomics to recover missing heritability from wild structural variations.BMC genomics · 2026Review
- Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026Review
- Integrated Analysis of SNPs and Structural Variations via High-depth Whole-genome Sequencing Reveals the Genetic Architecture and Optimizes Genomic Prediction in Chickens.Poultry science · 2026Article
- pyFLANK, a graph neural network based null distribution inference model for FBMC bioinformatics · 2026Article
- Article
- Accessing crop genetic diversity via pangenomics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Structural variation in context: mechanisms, functions and selection regimes across the tree of life.Heredity · 2026Article
- Structural Variants Contribute to Phenotypic Variation in Maize.Molecular ecology · 2025Article
- Advances and prospects of large DNA fragment editing in plants.Nature plants · 2025Review
- Natural variation in regulatory code revealed through Bayesian analysis of plant pan-genomes and pan-transcriptomes.bioRxiv : the preprint server for biology · 2025Article
- Stage-resolved gene regulatory network analysis reveals developmental reprogramming and genes with robust stem-preferred expression in sorghum.BMC plant biology · 2025Article
- Multi-locus genome-wide association studies for root system architectural traits in Ethiopian sorghum (Sorghum bicolor L.) landraces.BMC plant biology · 2025Article
- Structural variants contribute to phenotypic variation in maize.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic diversity is critical to crop breeding and improvement, and dissection of the genomic variation underlying agronomic traits can both assist breeding and give insight into basic biological mechanisms. Although recent genome analyses in plants reveal many structural variants (SVs), most current studies of crop genetic variation are dominated by single-nucleotide polymorphisms (SNPs). The extent of the impact of SVs on global trait variation, as well as their utility in genome-wide selection, is not yet understood. In this study, we built an SV data set based on whole-genome resequencing of diverse sorghum lines (n = 363), validated the correlation of photoperiod sensitivity and variety type, and identified SV hotspots underlying the divergent evolution of cellulosic and sweet sorghum. In addition, we showed the complementary contribution of SVs for heritability of traits related to sorghum adaptation. Importantly, inclusion of SV polymorphisms in association studies revealed genotype-phenotype associations not observed with SNPs alone. Three-way genome-wide association studies (GWAS) based on whole-genome SNP, SV, and integrated SNP + SV data sets showed substantial associations between SVs and sorghum traits. The addition of SVs to GWAS substantially increased heritability estimates for some traits, indicating their important contribution to functional allelic variation at the genome level. Our discovery of the widespread impacts of SVs on heritable gene expression variation could render a plausible mechanism for their disproportionate impact on phenotypic variation. This study expands our knowledge of SVs and emphasizes the extensive impacts of SVs on sorghum.
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