A 62K genic-SNP chip array for genetic studies and breeding applications in pigeonpea (Cajanus cajan L. Millsp.).
Sangeeta SinghAjay Kumar MahatoPawan K JayaswalNisha SinghMeenakshi DheerPreeti GoelRanjeet S RajeJeshima K YasinRohini SreevathsaVandna RaiKishor GaikwadNagendra K SinghPublished in: Scientific reports (2020)
Pigeonpea is the second most important pulse legume crop for food and nutritional security of South Asia that requires accelerated breeding using high throughput genomic tools. Single nucleotide polymorphisms (SNPs) are highly suitable markers for this purpose because of their bi-allelic nature, reproducibility and high abundance in the genome. Here we report on development and use of a pigeonpea 62 K SNP chip array 'CcSNPnks' for Affymetrix GeneTitan® platform. The array was designed after filtering 645,662 genic-SNPs identified by re-sequencing of 45 diverse genotypes and has 62,053 SNPs from 9629 genes belonging to five different categories, including 4314 single-copy genes unique to pigeonpea, 4328 single-copy genes conserved between soybean and pigeonpea, 156 homologs of agronomically important cloned genes, 746 disease resistance and defense response genes and 85 multi-copy genes of pigeonpea. This fully genic chip has 28.94% exonic, 33.04% intronic, 27.56% 5'UTR and 10.46% 3'UTR SNPs and incorporates multiple SNPs per gene allowing gene haplotype network analysis. It was used successfully for the analysis of genetic diversity and population structure of 95 pigeonpea varieties and high resolution mapping of 11 yield related QTLs for number of branches, pod bearing length and number of seeds per pod in a biparental RIL population. As an accurate high-density genotyping tool, 'CcSNPnks' chip array will be useful for high resolution fingerprinting, QTL mapping and genome wide as well as gene-based association studies in pigeonpea.
Keyphrases
- genome wide
- high throughput
- high resolution
- high density
- dna methylation
- copy number
- single cell
- network analysis
- genetic diversity
- mass spectrometry
- circulating tumor cells
- genome wide identification
- transcription factor
- blood pressure
- gene expression
- climate change
- risk assessment
- drug induced
- human health
- public health