The Bnapus50K array: a quick and versatile genotyping tool for Brassica napus genomic breeding and research.
Qing XiaoHuadong WangNuan SongZewen YuKhan ImranWeibo XieShuqing QiuFasong ZhouJing WenCheng DaiChaozhi MaJinxing TuJinxiong ShenTingdong FuBin YiPublished in: G3 (Bethesda, Md.) (2021)
Rapeseed is a globally cultivated commercial crop, primarily grown for its oil. High-density single nucleotide polymorphism (SNP) arrays are widely used as a standard genotyping tool for rapeseed research, including for gene mapping, genome-wide association studies, germplasm resource analysis, and cluster analysis. Although considerable rapeseed genome sequencing data have been released, DNA arrays are still an attractive choice for providing additional genetic data in an era of high-throughput whole-genome sequencing. Here, we integrated re-sequencing DNA array data (32,216, 304 SNPs) from 505 inbred rapeseed lines, allowing us to develop a sensitive and efficient genotyping DNA array, Bnapus50K, with a more consistent genetic and physical distribution of probes. A total of 42,090 high-quality probes were filtered and synthesized, with an average distance between adjacent SNPs of 8 kb. To improve the practical application potential of this array in rapeseed breeding, we also added 1,618 functional probes related to important agronomic traits such as oil content, disease resistance, male sterility, and flowering time. The additional probes also included those specifically for detecting genetically modified material. These probes show a good detection efficiency and are therefore useful for gene mapping, along with crop variety improvement and identification. The novel Bnapus50K DNA array developed in this study could prove to be a quick and versatile genotyping tool for B. napus genomic breeding and research.
Keyphrases
- high density
- genome wide
- single molecule
- copy number
- high throughput
- dna methylation
- nucleic acid
- circulating tumor
- living cells
- small molecule
- fluorescence imaging
- cell free
- single cell
- high resolution
- electronic health record
- climate change
- genome wide association
- big data
- computed tomography
- photodynamic therapy
- physical activity
- gene expression
- fatty acid
- fluorescent probe
- circulating tumor cells
- machine learning
- magnetic resonance
- risk assessment
- human health
- data analysis
- plant growth