Publications of NIPGR Scientists

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Author: search.filters.author.Parida, Swarup K.Subject: search.filters.subject.seed weight

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    Analysis of genomic-transcriptomic dynamics delineates key molecular signatures modulating seed size and weight in lentil
    (John Wiley & Sons, 2026) Padhy, Asish Kumar; Singh, Sangeeta; Tripathi, Kuldeep; Parida, Swarup K.; Bhatia, Sabhyata
    Delineating key genetic determinants associated with seed size/weight is crucial for increasing productivity. In this study, the advantages of an integrated approach combining QTL mapping, GWAS and transcriptomics to identify robust candidates governing seed size and weight were demonstrated in lentil, an important grain legume. QTL mapping identified three stable QTLs harbouring 5113 genes. GWAS identified 42 MTAs (5 consistent) containing 192 underlying genes. Comparative transcriptome analysis identified 1202 differentially expressed transcripts. Integrated analysis of the results obtained from QTL mapping and GWAS revealed nine SNPs located in the three robust QTLs harbouring 32 candidate genes. Upon integration with transcriptome data, only one (LcWDL1) was identified as the most promising candidate. LcWDL1 (a member of TPX2 family involved in microtubule organisation and cell expansion) and its predicted interacting partners that is, LcGLIPs are known to function as regulators of seed size. Candidate gene-based association analysis identified a SNP on second exon of LcWDL1 to be significantly associated with seed size and weight of lentil. The genomic loci/candidate gene identified in the study will serve to expedite the molecular breeding and gene editing programs for enhancing seed size and seed weight in lentils.
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    OsJAZ11 regulates spikelet and seed development in rice
    (John Wiley & Sons, 2022) Mehra, Poonam; Pandey, Bipin K.; Verma, Lokesh; Prusty, Ankita; Singh, Ajit Pal; Sharma, Shivam; Malik, Naveen; Bennett, Malcolm J.; Parida, Swarup K.; Giri, Jitender; Tyagi, Akhilesh K.
    Seed size is one of the major determinants of seed weight and eventually, crop yield. As the global population is increasing beyond the capacity of current food production, enhancing seed size is a key target for crop breeders. Despite the identification of several genes and QTLs, current understanding about the molecular regulation of seed size/weight remains fragmentary. In the present study, we report novel role of a jasmonic acid (JA) signaling repressor, OsJAZ11 controlling rice seed width and weight. Transgenic rice lines overexpressing OsJAZ11 exhibited up to a 14% increase in seed width and ~30% increase in seed weight compared to wild type (WT). Constitutive expression of OsJAZ11 dramatically influenced spikelet morphogenesis leading to extra glume-like structures, open hull, and abnormal numbers of floral organs. Furthermore, overexpression lines accumulated higher JA levels in spikelets and developing seeds. Expression studies uncovered altered expression of JA biosynthesis/signaling and MADS box genes in overexpression lines compared to WT. Yeast two-hybrid and pull-down assays revealed that OsJAZ11 interacts with OsMADS29 and OsMADS68. Remarkably, expression of OsGW7, a key negative regulator of grain size, was significantly reduced in overexpression lines. We propose that OsJAZ11 participates in the regulation of seed size and spikelet development by coordinating the expression of JA-related, OsGW7 and MADS genes.
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    ABC transporter-mediated transport of glutathione conjugates enhances seed yield and quality in chickpea
    (American Society of Plant Biologists, 2019) Basu, Udita; Upadhyaya, Hari D.; Srivastava, Rishi; Daware, Anurag; Malik, Naveen; Sharma, Akash; Bajaj, Deepak; Narnoliya, Laxmi; Thakro, Virevol; Kujur, Alice; Tripathi, Shailesh; Bharadwaj, Chellapilla; Hegde, V. S.; Pandey, Ajay K.; Singh, Ashok K.; Tyagi, Akhilesh K.; Parida, Swarup K.
    The identification of functionally relevant molecular tags is vital for genomics-assisted crop improvement and enhancing the seed yield, quality and productivity in chickpea. The simultaneous improvement of yield/productivity as well as quality traits often requires pyramiding of multiple genes, which remains a major hurdle given various associated epistatic and pleotropic effects. Unfortunately, no single gene that can improve yield/productivity along with quality and other desirable agromorphological traits is known, hampering the genetic enhancement of chickpea. Using a combinatorial genomics-assisted breeding and functional genomics strategy, this study identified natural alleles and haplotypes of an ABCC3-type transporter gene that regulates seed weight, an important domestication trait, by transcriptional regulation and modulating the transport of glutathione conjugates in seeds of desi and kabuli chickpea. The superior allele/haplotype of this gene introgressed in desi and kabuli near-isogenic lines enhances the seed weight, yield, productivity and multiple desirable plant architecture and seed-quality traits without compromising the agronomic performance. These salient findings can expedite crop improvement endeavors and the development of nutritionally enriched high-yielding cultivars in chickpea.
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    Eco TILLING-based association mapping efficiently delineates functionally relevant natural allelic variants of candidate genes governing agronomic traits in chickpea
    (Frontiers Media S.A., 2016) Bajaj, Deepak; Srivastava, Rishi; Nath, Manoj; Tripathi, Shailesh; Bharadwaj, Chellapilla; Upadhyaya, Hari D.; Tyagi, Akhilesh K.; Parida, Swarup K.
    The large-scale mining and high-throughput genotyping of novel gene-based allelic variants in natural mapping population are essential for association mapping to identify functionally relevant molecular tags governing useful agronomic traits in chickpea. The present study employs an alternative time-saving, non-laborious and economical pool-based EcoTILLING approach coupled with agarose gel detection assay to discover 1133 novel SNP allelic variants from diverse coding and regulatory sequence components of 1133 transcription factor (TF) genes by genotyping in 192 diverse desi and kabuli chickpea accessions constituting a seed weight association panel. Integrating these SNP genotyping data with seed weight field phenotypic information of 192 structured association panel identified eight SNP alleles in the eight TF genes regulating seed weight of chickpea. The associated individual and combination of all SNPs explained 10-15 and 31% phenotypic variation for seed weight, respectively. The EcoTILLING-based large-scale allele mining and genotyping strategy implemented for association mapping is found much effective for a diploid genome crop species like chickpea with narrow genetic base and low genetic polymorphism. This optimized approach thus can be deployed for various genomics-assisted breeding applications with optimal expense of resources in domesticated chickpea. The seed weight-associated natural allelic variants and candidate TF genes delineated have potential to accelerate marker-assisted genetic improvement of chickpea.
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    Genome-wide conserved non-coding microsatellite (CNMS) marker-based integrative genetical genomics for quantitative dissection of seed weight in chickpea
    (Oxford University Press, 2015) Bajaj, Deepak; Saxena, Maneesha S.; Kujur, Alice; Das, Shouvik; Badoni, Saurabh; Tripathi, Shailesh; Upadhyaya, Hari D.; Gowda, C. L. L.; Sharma, Shivali; Singh, Sube; Tyagi, Akhilesh K.; Parida, Swarup K.
    Phylogenetic footprinting identified 666 genome-wide paralogous and orthologous CNMS (conserved non-coding microsatellite) markers from 5′-untranslated and regulatory regions (URRs) of 603 protein-coding chickpea genes. The (CT)n and (GA)n CNMS carrying CTRMCAMV35S and GAGA8BKN3 regulatory elements, respectively, are abundant in the chickpea genome. The mapped genic CNMS markers with robust amplification efficiencies (94.7%) detected higher intraspecific polymorphic potential (37.6%) among genotypes, implying their immense utility in chickpea breeding and genetic analyses. Seventeen differentially expressed CNMS marker-associated genes showing strong preferential and seed tissue/developmental stage-specific expression in contrasting genotypes were selected to narrow down the gene targets underlying seed weight quantitative trait loci (QTLs)/eQTLs (expression QTLs) through integrative genetical genomics. The integration of transcript profiling with seed weight QTL/eQTL mapping, molecular haplotyping, and association analyses identified potential molecular tags (GAGA8BKN3 and RAV1AAT regulatory elements and alleles/haplotypes) in the LOB-domain-containing protein- and KANADI protein-encoding transcription factor genes controlling the cis-regulated expression for seed weight in the chickpea. This emphasizes the potential of CNMS marker-based integrative genetical genomics for the quantitative genetic dissection of complex seed weight in chickpea.