Biology subjects

Mohinuddin, D. K.

Publications and source records attributed to Mohinuddin, D. K..

3 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

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↗