Brassica rapa is a model species for agronomic, ecological, evolutionary, and translational studies. Here, we describe high-density SNP discovery and genetic map construction for a B. rapa recombinant inbred line (RIL) population derived from field collected RNA sequencing (RNA-Seq) data. This high-density genotype data enables the detection and correction of putative genome misassemblies and accurate assignment of scaffold sequences to their likely genomic locations. These assembly improvements represent 7.1–8.0% of the annotated B. rapa genome. We demonstrate how using this new resource leads to a significant improvement for QTL analysis over the current low-density genetic map. Improvements are achieved by the increased mapping resolution and by having known genomic coordinates to anchor the markers for candidate gene discovery. These new molecular resources and improvements in the genome annotation will benefit the Brassicaceae genomics community and may help guide other communities in fine-tuning genome annotations.
Using RNA-Seq for Genomic Scaffold Placement, Correcting Assemblies, and Genetic Map Creation in a Common Brassica rapa Mapping Population
R. J. C. Markelz,Michael F. Covington,M. Brock,Upendra Kumar Devisetty,D. Kliebenstein,C. Weinig,J. Maloof
Published 2016 in G3: Genes, Genomes, Genetics
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- Publication year
2016
- Venue
G3: Genes, Genomes, Genetics
- Publication date
2016-09-22
- Fields of study
Agricultural and Food Sciences, Medicine, Biology, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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