Development of a cost-effective high-throughput mid-density 5K genotyping assay for germplasm characterization and breeding in groundnut

Pandey, M K and Sharma, V and Khan, A W and Joshi, Pushpesh and Gangurde, S S and Bajaj, P and Janila, P and Chitikineni, A and Bhat, R and Motagi, B N and Sangh, C and Radhakrishnan, T and Bera, S K and Gorjanc, G and Gujjula, K R and Hall, N and Carrasco, C D and Arjun, K and Chandram, S and Varshney, R K (2025) Development of a cost-effective high-throughput mid-density 5K genotyping assay for germplasm characterization and breeding in groundnut. The Plant Genome (TSI), 18 (2). pp. 1-14. ISSN 1940-3372

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Abstract

Groundnut (Arachis hypogaea L.), also known as peanut, is an allotetraploid legume crop composed of two different progenitor sub-genomes. This crop is an important source for food, feed, and confectioneries. Leveraging translational genomics research has expedited the precision and speed in making selections of progenies in several crops through either marker-assisted selection or genomic selection, including groundnut. The availability of foundational genomic resources such as reference genomes for diploid progenitors and cultivated tetraploids, offered substantial opportunities for genomic interventions, including the development of genotyping assays. Here, a cost-effective and high-throughput genotyping assay has been developed with 5,081 single nucleotide polymorphisms (SNPs) referred to as “mid-density assay.” This multi-purpose assay includes 5,000 highly informative SNPs selected based on higher olymorphism information content (PIC) from our previously developed high-density “Axiom_Arachis” array containing 58,233 SNPs. Additionally 82 SNPs associated with five resilience and quality traits were included for marker-assisted selection. To test the utility of the mid-density genotyping (MDG) assay, 2,573 genotypes from distinct sets of breeding populations were genotyped with the 5,081 SNPs. PIC of the SNPs in the MDG ranged from 0.34 to 0.37 among diverse sets. The first three principal components collectively explained 82.08% of the variance among these genotypes. The mid-density assay demonstrated a proficient ability to distinguish between the genotypes, offering a high level of genome-wide nucleotide diversity. This assay holds promise for possible deployment in the identification of varietal seed mixtures, genetic purity within gene bank germplasms and seed systems, foreground and background selection in backcross breeding programs, genomic selection, and sparse trait mapping studies in groundnut. Plain Language Summary A cost-effective, high-throughput, mid-density genotyping assay was developed and validated for large-scale genomic breeding applications as well as for detecting genetic purity and duplication in genebank and seed system. This newly developed mid-density assay, with 5,081 single nucleotide polymorphisms (SNPs) in groundnut now provides opportunities for deployment in applications mentioned above on a large scale. Being dynamic, AgriSeq genotyping-by-sequencing (T-GBS) assay can be easily modified in future by adding informative SNPs to further increase the utilization of this assay in regular breeding programs of groundnut globally. The deployment of this assay in groundnut will help in enhancing, and achieving high precision and accuracy in gene banks, breeding, pre-breeding, and seed system.

Item Type:	Article
Divisions:	Center of Excellence in Genomics and Systems Biology
CRP:	UNSPECIFIED
Uncontrolled Keywords:	germplasm characterization, breeding, cost-effective high-throughput, groundnut
Subjects:	Mandate crops > Groundnut Others > Genetics and Genomics Others > Germplasm
Depositing User:	Mr Nagaraju T
Date Deposited:	02 Apr 2025 03:45
Last Modified:	02 Apr 2025 03:45
URI:	http://oar.icrisat.org/id/eprint/13017
Official URL:	https://acsess.onlinelibrary.wiley.com/doi/10.1002...
Projects:	UNSPECIFIED
Funders:	Government of India - Department of Biotechnology, BBSRC, Bill and Melinda Gates Foundation
Acknowledgement:	The authors would like to acknowledge major funding source Department of Biotechnology (DBT) of Government of India along with minor funding contributions from the Indian Council of Agricultural Research (ICAR), India and the Bill & Melinda Gates Foundation (BMGF), USA.
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