ArticleBMC genomics2016
SNP discovery and genetic mapping using genotyping by sequencing of whole genome genomic DNA from a pea RIL population.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 92 citations in OpenAlex.
- Comparative genomic analysis of QTL for resistance to Aphanomyces euteiches between pea, lentil, faba bean, and the model species Medicago truncatula.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Functional Genomics: From Soybean to Legume.International journal of molecular sciences · 2025Review
- Identification of late blight resistance QTLsMolecular breeding : new strategies in plant improvement · 2025Article
- Genotyping-by-sequencing informs conservation of Andean palms sources of non-timber forest products.Evolutionary applications · 2024Article
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- Understanding the root of the problem for tackling pea root rot disease.Frontiers in microbiology · 2024Review
- Article
- Advanced backcross QTL analysis and comparative mapping with RIL QTL studies and GWAS provide an overview of QTL and marker haplotype diversity for resistance to Aphanomyces root rot in pea (Frontiers in plant science · 2023Article
- SeSAM: software for automatic construction of order-robust linkage maps.BMC bioinformatics · 2022Article
- Article
- Genetic Augmentation of Legume Crops Using Genomic Resources and Genotyping Platforms for Nutritional Food Security.Plants (Basel, Switzerland) · 2022Review
- Unraveling the Genetic Basis of Key Agronomic Traits of Wrinkled Vining Pea (Frontiers in plant science · 2022Article
- Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- Skim sequencing: an advanced NGS technology for crop improvement.Journal of genetics · 2021Review
- Genome-wide SNP analysis to assess the genetic population structure and diversity of Acrocomia species.PloS one · 2021Article
- Evaluation of variant calling tools for large plant genome re-sequencing.BMC bioinformatics · 2020Article
- Confirmation of Fusarium root rot resistance QTL Fsp-Ps 2.1 of pea under controlled conditions.BMC plant biology · 2019Article
- Chromosomal Locations and Interactions of Four Loci Associated With Seed Coat Color in Watermelon.Frontiers in plant science · 2019Article
- Genome-Wide SNP Discovery in Indigenous Cattle Breeds of South Africa.Frontiers in genetics · 2019Article
- KnowPulse: A Web-Resource Focused on Diversity Data for Pulse Crop Improvement.Frontiers in plant science · 2019Article
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProgress in genetics and breeding in pea still suffers from the limited availability of molecular resources. SNP markers that can be identified through affordable sequencing processes, without the need for prior genome reduction or a reference genome to assemble sequencing data would allow the discovery and genetic mapping of thousands of molecular markers. Such an approach could significantly speed up genetic studies and marker assisted breeding for non-model species.
resultsA total of 419,024 SNPs were discovered using HiSeq whole genome sequencing of four pea lines, followed by direct identification of SNP markers without assembly using the discoSnp tool. Subsequent filtering led to the identification of 131,850 highly designable SNPs, polymorphic between at least two of the four pea lines. A subset of 64,754 SNPs was called and genotyped by short read sequencing on a subpopulation of 48 RILs from the cross 'Baccara' x 'PI180693'. This data was used to construct a WGGBS-derived pea genetic map comprising 64,263 markers. This map is collinear with previous pea consensus maps and therefore with the Medicago truncatula genome. Sequencing of four additional pea lines showed that 33 % to 64 % of the mapped SNPs, depending on the pairs of lines considered, are polymorphic and can therefore be useful in other crosses. The subsequent genotyping of a subset of 1000 SNPs, chosen for their mapping positions using a KASP™ assay, showed that almost all generated SNPs are highly designable and that most (95 %) deliver highly qualitative genotyping results. Using rather low sequencing coverages in SNP discovery and in SNP inferring did not hinder the identification of hundreds of thousands of high quality SNPs.
conclusionsThe development and optimization of appropriate tools in SNP discovery and genetic mapping have allowed us to make available a massive new genomic resource in pea. It will be useful for both fine mapping within chosen QTL confidence intervals and marker assisted breeding for important traits in pea improvement.
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