Institutional Publications

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Subject: search.filters.subject.association mapping

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    Delineation of novel genomic loci and putative candidate genes associated with seed iron and zinc content in lentil (Lens culinaris Medik.)
    (Elsevier B.V., 2023) Singh, Baljinder; Singh, Sangeeta; Mahato, Ajay Kumar; Dikshit, Harsh Kumar; Tripathi, Kuldeep; Bhatia, Sabhyata
    The use of molecular breeding approaches for development of lentil genotypes biofortified with essential micro-nutrients such as iron and zinc, could serve as a promising solution to address the problem of global malnutrition. Thus, genome-wide association study (GWAS) strategy was adopted in this study to identify the genomic regions associated with seed iron and zinc content in lentil. A panel of 95 diverse lentil genotypes, grown across three different geographical locations and evaluated for seed iron and zinc content, exhibited a wide range of variation. Genotyping-by-sequencing (GBS) analysis of the panel identified 33,745 significant single nucleotide polymorphisms (SNPs) that were distributed across all the 7 lentil chromosomes. Association mapping revealed 23 SNPs associated with seed iron content that were distributed across all the chromosomes except chromosome 3. Similarly, 14 SNPs associated with seed zinc content were also identified that were distributed across chromosomes 1, 2, 4, 5 and 6. Further, 80 genes were identified in the proximity of iron associated markers and 36 genes were identified in the proximity of zinc associated markers. Functional annotation of these genes revealed their putative involvement in iron and zinc metabolism. For seed iron content, two highly significant SNPs were found to be located within two putative candidate genes namely iron-sulfur cluster assembly (ISCA) and flavin binding monooxygenase (FMO) respectively. For zinc content, a highly significant SNP was detected in a gene encoding UPF0678 fatty acid-binding protein. Expression analysis of these genes and their putative interacting partners suggests their involvement in iron and zinc metabolism in lentil. Overall, in this study we have identified markers, putative candidate genes and predicted putative interacting protein partners significantly associated with iron and zinc metabolism that could be utilized in future breeding studies of lentil for nutrient biofortification.
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    Integrated genomic approaches delineate the novel role of ROP1 ENHANCER1 in regulating seed protein content of chickpea
    (Oxford University Press, 2023) Chakraborty, Anirban; Junaid, Alim; Parida, Swarup K.; Bhatia, Sabhyata
    Utilizing a combinatorial approach of QTL-Seq and candidate gene-based association mapping, the QTLs and genes responsible for seed protein content (SPC), a major quality trait in chickpea were identified. Whole Genome Re-sequencing based QTL-Seq analysis of bulked RILs from a mapping population contrasting for SPC led to identification of two QTLs (0.94 Mb on Linkage Group (LG)5 and 1.16 Mb on LG6) encompassing three SNPs displaying the highest ΔSNP-index. These highly significant SNPs and their associated genes were validated in 211 chickpea mini-core accessions varying in SPC that revealed a tightly associated marker affecting CaREN1 (ROP1 ENHANCER1) with phenotypic variation explained of 23%. This SNP was subsequently converted into a cost effective allele specific PCR based marker that could be utilized for rapid screening of SPC during marker assisted breeding. Further, in planta functional validation via knockdown of CaREN1 led to significant reduction in SPC of chickpea. This decrease in seed protein is likely due to disruption in the formation of CaREN1 protein complexes comprising of chaperones, phosphopeptide-binding proteins and GTPases that mediate folding, transport and accumulation of seed storage proteins as indicated through AP-MS. Taken together, the information generated would expedite tailoring of chickpea cultivars with augmented SPC.
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    Editorial: Genetics and genomics to enhance crop production, towards food security
    (Frontiers Media S.A., 2021) Kumar, Ajay; Mir, Reyazul Rouf; Sehgal, Deepmala; Agarwal, Pinky; Carter, Arron
    Twenty first century agriculture faces many challenges including new emerging abiotic and biotic stresses and decreasing arable land. These challenges pose serious threats to food security of an ever-increasing world population. One of the solutions to meet the food demands is to develop high-yielding crop varieties with greater genetic potential and resistance/tolerance to both biotic and abiotic stresses. Just like in mid-nineteenth century, when new genes and methods resulted in the first green revolution, there is a need to combine traditional plant breeding tools with new technologies to bring another green revolution for future food security.
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    Association mapping of genomic loci linked with Fusarium wilt resistance (Foc 2) in chickpea
    (Cambridge University Press, 2021) Jha, Uday Chand; Jha, Rintu; Bohra, Abhishek; Manjunatha, Lakshmaiah; Saabale, Parasappa Rajappa; Parida, Swarup K.; Chaturvedi, Sushil Kumar; Thakro, Virevol; Singh, Narendra Pratap
    Improving plant resistance against Fusarium wilt (FW) is key to sustaining chickpea production worldwide. Given this, the current study tested a set of 75 FW-responsive chickpea breeding lines including checks in a wilt-sick plot for two consecutive years (2016 and 2017). Genetic diversity analysis using 75 simple sequence repeats (SSRs) revealed a total of 267 alleles with an average of 3.56 alleles per marker. The entire set was divided into two major classes based on clustering method and factorial analysis. Similarly, STRUCTURE analysis placed the 75 genotypes into three distinct sub-groups (K = 3). Marker-trait association (MTA) analysis using the generalized linear model approach revealed nine and eight significant MTAs for FW resistance in the years 2016 and 2017, respectively. Three significant MTAs were obtained for FW resistance following the mixed linear model approach for both years. The SSR markers CESSR433, NCPGR21 and ICCM0284 could be potentially employed for targeted and accelerated improvement of FW resistance in chickpea. To the best of our knowledge, this is the first report on association mapping of the genomic loci controlling FW (Foc2) resistance 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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    Functionally relevant microsatellite markers from chickpea transcription factor genes for efficient genotyping applications and trait association mapping
    (Oxford University Press, 2013) Kujur, Alice; Bajaj, Deepak; Saxena, Maneesha S.; Tripathi, Shailesh; Upadhyaya, Hari D.; Gowda, C.L.L.; Singh, Sube; Jain, Mukesh; Tyagi, Akhilesh K.; Parida, Swarup K.
    We developed 1108 transcription factor gene-derived microsatellite (TFGMS) and 161 transcription factor functional domain-associated microsatellite (TFFDMS) markers from 707 TFs of chickpea. The robust amplification efficiency (96.5%) and high intra-specific polymorphic potential (34%) detected by markers suggest their immense utilities in efficient large-scale genotyping applications, including construction of both physical and functional transcript maps and understanding population structure. Candidate gene-based association analysis revealed strong genetic association of TFFDMS markers with three major seed and pod traits. Further, TFGMS markers in the 5' untranslated regions of TF genes showing differential expression during seed development had higher trait association potential. The significance of TFFDMS markers was demonstrated by correlating their allelic variation with amino acid sequence expansion/contraction in the functional domain and alteration of secondary protein structure encoded by genes. The seed weight-associated markers were validated through traditional bi-parental genetic mapping. The determination of gene-specific linkage disequilibrium (LD) patterns in desi and kabuli based on single nucleotide polymorphism-microsatellite marker haplotypes revealed extended LD decay, enhanced LD resolution and trait association potential of genes. The evolutionary history of a strong seed-size/weight-associated TF based on natural variation and haplotype sharing among desi, kabuli and wild unravelled useful information having implication for seed-size trait evolution during chickpea domestication.