Whole-genome sequencing based discovery of candidate genes and diagnostic markers for seed weight in groundnut

Gangurde, S S and Khan, A W and Janila, P and Variath, M T and Manohar, S S and Singam, P and Chitikineni, A and Varshney, R K and Pandey, M K (2022) Whole-genome sequencing based discovery of candidate genes and diagnostic markers for seed weight in groundnut. The Plant Genome (TSI), 16. pp. 1-19. ISSN 1940-3372

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Abstract

Seed weight in groundnut (Arachis hypogaea L.) has direct impact on yield as well as market price because of preference for bold seeds by consumers and industry, thereby making seed-size improvement as one of the most important objectives of groundnut breeding programs globally. Marker-based early generation selection can accelerate the process of breeding for developing large-seeded varieties. In this context, we deployed the quantitative trait locus-sequencing (QTL-seq) approach on a biparental mapping population (Chico × ICGV 02251) to identify candidate genes and develop markers for seed weight in groundnut. A total of 289.4–389.4 million reads sequencing data were generated from three libraries (ICGV 02251 and two extreme bulks) achieving 93.9–95.1% genome coverage and 8.34–9.29× average read depth. The analysis of sequencing data using QTL-seq pipeline identified five genomic regions (three on chromosome B06 and one each on chromosomes B08 and B09) for seed weight. Detailed analysis of above associated genomic regions detected 182 single-nucleotide polymorphisms (SNPs) in genic and intergenic regions, and 11 of these SNPs were nonsynonymous in the genomic regions of 10 candidate genes including Ulp proteases and BIG SEED locus genes. Kompetitive allele specific polymerase chain reaction (KASP) markers for 14 SNPs were developed, and four of these markers (snpAH0031, snpAH0033, snpAH0037, and snpAH0038) were successfully validated for deployment in breeding for large-seeded groundnut varieties.

Item Type:	Article
Divisions:	Center of Excellence in Genomics and Systems Biology Global Research Program - Accelerated Crop Improvement
CRP:	UNSPECIFIED
Uncontrolled Keywords:	Whole-genome sequencing, candidate genes, seed weight, groundnut
Subjects:	Mandate crops > Groundnut Others > Genetics and Genomics Others > Seeds/Seed Bank
Depositing User:	Mr Nagaraju T
Date Deposited:	19 Feb 2024 05:40
Last Modified:	19 Feb 2024 05:40
URI:	http://oar.icrisat.org/id/eprint/12486
Official URL:	https://acsess.onlinelibrary.wiley.com/doi/full/10...
Projects:	UNSPECIFIED
Funders:	Bill and Melinda Gates Foundation
Acknowledgement:	Sunil S. Gangurde acknowledges Department of Science and Technology (DST), Govt. of India for the award DST-INSPIRE fellowship for PhD. The authors are thankful to National Agricultural Science Fund (NASF) of Indian Council of Agricultural Research, India, and Bill & Melinda Gates Foundation (BMGF), USA, for partial financial assistance to this study.
Links:	Google Scholar

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