Biology subjects

Gangurde, S. S.

Publications and source records attributed to Gangurde, S. S..

6 recordsLinked to original sources

bioRxiv2025

Whole genome sequencing-based multi-locus association mapping for kernel iron, zinc and protein content in groundnut

Malnutrition is a major global challenge, especially in the developing regions, where improving the nutritional content of staple crops is a significant step towards alleviating hidden hunger. Groundnut, a nutrient rich legume contains several mineral nutrients, high protein, essential amino-acids and vitamins that are required for human health. In this study, multi-season phenotyping data for kernel iron (Fe), zinc (Zn) content and protein content (PC) and whole genome re-sequencing (WGRS) data on mini-core collection, were used to perform genome-wide association study (GWAS) analysis. Phenotypic variability analysis revealed a large variation in the Fe (7.6 - 42.8 ppm), Zn (10.9 - 62.4 ppm) and PC (12.7 - 33.6%). GWAS analysis identified a total of 15 marker-trait associations (MTAs) and 28 candidate genes for pooled season data, as well as 44 MTAs and 62 candidate genes for individual seasons. Key candidate genes like MYB transcription factor (Arahy.QI0PHV, Arahy.1I6ZSS), Zn finger MYM type protein, RING finger MYM type protein (Arahy.7P97F6, Arahy.9R964H, Arahy.I3B88T) and NAC domain protein (Arahy.LV3APC), associated with the Fe and Zn homeostasis pathway, genes related to protein homeostasis, such as protein kinase family protein (Arahy.4D7KBI), and E3 ubiquitin-protein ligase (Arahy.PE3CF6), were also identified within significant MTA regions. These findings provide basis for the detection and characterization of the possible candidate genes related to the nutritional quality traits. Single nucleotide polymorphism (SNP)-based KASP (Kompetitive Allele Specific Polymerase Chain Reaction) markers for 9 SNPs were designed and validated. Of these, three markers (snpAH00636, snpAH00641 and snpAH00644) showed polymorphism which could be deployed in the genomics-assisted breeding for the development of nutrient-rich groundnut varieties.

plant biology↗

bioRxiv2025

Genomic analysis uncovers unique haplotype signatures from subspecies and agronomic types associated with blanchability in groundnut

Blanchability, defined as the ease of seed coat removal after roasting, is a vital trait for enhancing processing efficiency and product quality in groundnut (Arachis hypogaea L.). To enable a comprehensive haplotype-level genetic dissection of this trait, SNPs derived from whole-genome resequencing (WGRS) were used to perform genome-wide association study (GWAS) using multi-locus models (BLINK and FarmCPU) on a diverse groundnut mini-core collection phenotyped across two crop seasons. A total of 26 significant SNP-trait associations (STAs) were identified across multiple chromosomes, with major loci on chromosomes Ah05, Ah06, and Ah17, some of which were further validated using KASP (Kompetitive Allele-Specific PCR) markers. Candidate genes, such as those involved in cell wall biosynthesis (e.g., galactoside 2-alpha-L-fucosyltransferase-like protein, protein kinase superfamily members, and glycerophosphoryl diester phosphodiesterase 3), were found to be within linkage disequilibrium (LD) of the identified STAs, suggesting their plausible association with blanchability. Haplo-pheno analyses identified superior high-blanchability haplotypes; Ah05HapBL3, Ah06HapBL5, Ah06HapBL10, and Ah17HapBL6, which were predominantly found in the fastigiata subspecies (including Valencia and Spanish bunch agronomic types) from South Asia and South America, while the low-blanchability haplotypes were from hypogaea subspecies (including Virginia runner and Virginia bunch agronomic types) from Africa. Overall, this study provides valuable insights for customizing blanchability through haplotype-based breeding of processing-grade cultivars thereby improving groundnut value chains to meet diverse industrial demands.

genomics↗

bioRxiv2025

Mapping Fusarium Wilt and Sterility Mosaic Disease Resistance-Associated Genomic Regions and Haplotype Variants in Pigeonpea

The occurrence of fusarium wilt and sterility mosaic disease in genial conditions causes significant yield losses in pigeonpea. The present genome-wide association study (GWAS) was employed on 176-genotype panel to identify candidate genomic regions associated with FW and SMD resistance in pigeonpea. A total of 869,447 filtered SNP markers were used for GWAS analysis. GWAS analysis identified significant genomic regions for FW on chromosomes 05, 10, and 11 and for SMD on chromosome 09. Four resistant sources, namely, ICP20096, ICP20097, ICPL87119 and ICP13304 were identified as a resistance source for both FW and SMD. Total 12 markers from chromosome 11 for FW and 4 markers from chromosome 09 for SMD were validated using the KASP genotyping approach. We have identified resistant haplotypes for FW on chromosome 10 and 11 and for SMD on chromosome 09. Moreover, we have identified four InDels for FW on chromosome 5 in Two component response regulator gene (Cc_11098) and four InDels for SMD on chromosome 9 in genes, namely, LRR and NB-ARC domain disease resistance protein (Cc_21069), Flavonoid 3, 5-hydroxylase (Cc_21070) respectively. For FW, Cc_10507586 region from chromosome 5 is identified in ICPL87119 and ICPL20096 donors. A region Cc_21637656 from chromosome 11 is identified in the ICPL87119 but not in the ICPL20096. Similarly, a region Cc_4438493 from chromosome 10 is identified in the ICPL20096 but not in the ICPL87119. For SMD, Cc_24131177 region is identified in both the SMD resistance donors (ICPL20096 and ICPL87119). Ccsmd04 region from chromosome 4 has been identified in ICPL87119 but not in the ICPL20096. These genomic regions can be brought together into single elite genetic background with the help of the markers identified in this study. The validated markers and donor lines in this study offer valuable tools and resources for the genetic improvement of pigeonpea cultivars with enhanced FW and SMD resistance.

genomics↗

bioRxiv2025

InDels in an intronic region of gene Ccsmd04 coding for dormancy/auxin-associated protein controls sterility mosaic disease resistance in pigeonpea

Sterility mosaic disease presents a significant challenge to pigeonpea cultivation in the Indian subcontinent, potentially leading to total crop failure. The development of diagnostic molecular markers for SMD resistance can aid in improving SMD-resistant varieties. In this context, a QTL-seq approach identified genomic regions associated with SMD resistance using a recombinant inbred line generated from ICP8863 x ICPL87119. In total, 6,105 high-confidence variants were identified in the genomic region, namely, smdCc04 based on the delta SNP index. A genomic region smdCc04 on chromosome Cc04 spans 3.2 Mb (9.3 - 12.5 Mb) comprised of 6 missense variants and eight indels. A total of 211 candidate genes were identified from this region. 1 bp insertion, 21 bp insertion, 9 bp deletion, and 3 bp insertion at different intronic positions in 22 susceptible line leads to downregulation of Dormancy/auxin associated protein (Ccsmd04) resulting in loss of signaling in disease resistance pathways. The identified sites recognize four important disease and plant growth related transcription factors. A total of 4 Indels and 8 SNPs were validated from smdCc04 genomic regions using whole genome re-sequencing data and KASP genotyping on resistant and susceptible pigeonpea lines respectively. These markers will be used in pigeonpea breeding programs.

genomics↗

bioRxiv2025

Genomic analysis reveals the interplay between ABA-GA in determining dormancy duration in groundnut

Groundnut is an important leguminous crop however; its productivity and seed quality are frequently reduced due to lack of fresh seed dormancy (FSD). To address this challenge, a mini-core collection of 184 accessions was phenotyped to identify donors in each agronomic type, in addition to analysing data on whole genome re-sequencing and multi-season phenotypic evaluations to identify stable marker-trait associations (MTAs) associated with FSD. Phenotypic analysis revealed substantial variability in dormancy durations, with days to 50% germination (DFG) ranging from 1 to 30 days. Multi-locus genome-wide association studies (ML-GWAS) identified 27 MTAs in individual seasons and 12 MTAs in pooled seasons data, respectively. Key candidate genes identified included Cytochrome P450 superfamily proteins, protein kinase superfamily proteins, and MYB transcription factors involved in the Abscisic acid (ABA) pathway, as well as F-box interaction domain proteins, ATP-binding ABC transporters, associated with the Gibberellic acid (GA) pathway. SNP-based KASP (Kompetitive Allele-Specific Polymerase chain reaction) markers for 12 SNPs were developed and validated, of these 6 markers (snpAH00577, snpAH00580, snpAH00582, snpAH00585, snpAH00586 and snpAH00588) showed polymorphism between dormant and non-dormant lines. Incorporating favourable dormant alleles into breeding strategies could enable the development of high-yielding cultivars with a dormancy period of 2-3 weeks.

genomics↗

bioRxiv2025

Identification of High Blanchability Donors, Candidate genes and Markers in Groundnut

Blanchability in groundnut, the ability of seeds to shed their seed coat (testa), is a trait of economic importance in the food processing industry, yet remains underexplored in breeding programs. This study aimed to assess blanchability in 184 accessions from the ICRISAT minicore collection and identify associated genomic regions, candidate genes, and molecular markers. Significant variability was observed over two seasons, with blanchability ranging from 3.98% to 70.08%. Ten genotypes, including ICG10890, ICG9507, ICG13982, and ICG297, exhibited good blanchability, with ICG297 emerging as a promising donor based on cluster analysis of blanchability and agronomic traits. Genome-wide association studies (GWAS) using the 58K Axiom_Arachis SNP array revealed 58 significant SNP-trait associations and important candidate genes such as isocitrate dehydrogenase and ubiquitin ligase, which influence seed coat structure and cell wall integrity. Nine SNPs were validated via allele mining, with four markers--on chromosomes A01 (snpAH00551), A06 (snpAH00554), B04 (snpAH00558), and B07 (snpAH00559), effectively distinguishing between high and low blanchability genotypes. These validated SNPs present valuable tools for genomics-assisted breeding. Overall, the findings is the first study contributing to a better understanding of the genomics and genetic basis of blanchability and offer resources for improving processing traits in groundnut.

genomics↗