ArticlePlant biotechnology journal2020
Characterization of disease resistance genes in the Brassica napus pangenome reveals significant structural variation.
Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.
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Who cites it
71 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-omics revolution to promote plant breeding efficiency.Frontiers in plant science · 2022Pooled it
- Distinct Evolutionary Constraints Shape TNL and CNL Immune Receptors in Wild and Cultivated Tomato.Biology · 2026Article
- Phylogeny-driven pangenome analysis uncovers the genomic landscape of domesticated and wild Armeniaca species.Horticulture research · 2026Article
- Pan-NLRome analysis uncovers genetic diversity and evolutionary dynamics among rice, maize and sorghum.The plant genome · 2026Article
- From structural pangenomes to functional panomics in plants.Molecular biology and evolution · 2026Review
- Genomic resources for Australian alfalfa (Medicago sativa L.) genomics: reformatted reference genome, annotated variants, gene presence-absence and diversity analysis from genome re-sequencing.BMC plant biology · 2025Article
- Developing pangenomes for large and complex plant genomes and their representation formats.Journal of advanced research · 2025Review
- Pangenomic structural variant patterns reflect evolutionary diversification in Brassica napus.Genome biology · 2025Article
- Genome-wide identification and evolutionary analysis of disease resistance genes in Brassica carinata.The plant genome · 2025Article
- Pan-Genome Analysis ofInternational journal of molecular sciences · 2025Article
- Article
- Common bean pan-genome reveals abundant variation patterns and relationships of stress response genes and pathways.BMC genomics · 2025Article
- In Silico Comparison of WRKY Transcription Factors in Wild and Cultivated Soybean and Their Co-expression Network Arbitrating Disease Resistance.Biochemical genetics · 2025Article
- Pan-genome analyses of 11 Fraxinus species provide insights into salt adaptation in ash trees.Plant communications · 2025Article
- The pan-NLRome analysis based on 23 genomes reveals the diversity of NLRs inMolecular breeding : new strategies in plant improvement · 2024Article
- Fitness consequences of structural variation inferred from a House Finch pangenome.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Pangenome Data Analysis Reveals Characteristics of Resistance Gene Analogs Associated withLife (Basel, Switzerland) · 2024Article
- DArTseq-Based, High-Throughput Identification of Novel Molecular Markers for the Detection of Blackleg (International journal of molecular sciences · 2024Article
- Breeding and management of major resistance genes to stem canker/blackleg in Brassica crops.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Review
- Article
11 more citing papers are in PubMed but not listed here.
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Methods based on single nucleotide polymorphism (SNP), copy number variation (CNV) and presence/absence variation (PAV) discovery provide a valuable resource to study gene structure and evolution. However, as a result of these structural variations, a single reference genome is unable to cover the entire gene content of a species. Therefore, pangenomics analysis is needed to ensure that the genomic diversity within a species is fully represented. Brassica napus is one of the most important oilseed crops in the world and exhibits variability in its resistance genes across different cultivars. Here, we characterized resistance gene distribution across 50 B. napus lines. We identified a total of 1749 resistance gene analogs (RGAs), of which 996 are core and 753 are variable, 368 of which are not present in the reference genome (cv. Darmor-bzh). In addition, a total of 15 318 SNPs were predicted within 1030 of the RGAs. The results showed that core R-genes harbour more SNPs than variable genes. More nucleotide binding site-leucine-rich repeat (NBS-LRR) genes were located in clusters than as singletons, with variable genes more likely to be found in clusters. We identified 106 RGA candidates linked to blackleg resistance quantitative trait locus (QTL). This study provides a better understanding of resistance genes to target for genomics-based improvement and improved disease resistance.
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