Browsing by Author "Dixit, Girish Prasad"

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Chickpea chitinases responsive to Helicoverpa herbivory and phytohormone signaling: genome-wide identification, field expression profiling, and structure-guided prioritization
(BioMed Central Ltd, 2026) Konda, Aravind Kumar; Annapragada, Harika; G K, Sujayanand; Singh, Pooja; Bhuvanachandra, Bhoopal; Chinnasamy, Hariharan V; Dixit, Girish Prasad; Gupta, Kapuganti Jagadis; Matheshwaran, Saravanan
Background: Chitinases can contribute to plant defence against fungal pathogens and insect herbivores, but their family organization, inducible deployment, and putative ligand-recognition behaviour remain poorly resolved in chickpea. We combined genome-wide identification, field expression profiling under controlled Helicoverpa armigera infestation, hormone treatments, and structure-guided comparison of representative proteins to prioritize defence-associated chickpea chitinases. Results: We identified 28 chickpea chitinase loci (Car_Chits), comprising 22 glycosyl hydrolase family 18 (GH18) genes and 6 GH19 genes. Local duplication, especially tandem duplication within GH18, was the main contributor to family expansion, and interpretable duplicate pairs were retained mainly under purifying selection. Promoter scans indicated broad enrichment of defence- and hormone-associated cis-elements. Field quantitative real-time PCR (qRT-PCR) profiling of 11 candidate genes in field-grown plants subjected to controlled H. armigera infestation and hormone treatments showed treatment-specific temporal regulation. Car_Chit-4 (GH19) was strongly induced by salicylic acid (7.81-fold at 0.5 h; q < 0.05) but transiently repressed shortly after H. armigera feeding (0.15-fold at 0.5 h; q = 0.030). Car_Chit-19 (GH18) was the clearest herbivory-responsive gene, with late induction at 8 h (1.62-fold; q = 0.050) and 48 h (1.85-fold; q = 0.050). Jasmonic acid caused broad early repression across several genes, followed by delayed induction of Car_Chit-4 at 24 h. Seven Car_Chit-(GlcNAc)₄ complexes were modelled, docked, and simulated for 100 ns. GH18 proteins generally showed more favourable predicted MM-PBSA binding energies than GH19 proteins, but the structural metrics were interpreted as relative ligand-recognition indicators rather than direct evidence of anti-herbivore function. Car_Chit-17 had the most favourable predicted binding energy (ΔG_bind = - 18.51 ± 6.75 kcal/mol), whereas Car_Chit-14 and Car_Chit-27 retained the most stable ligand poses and Car_Chit-19 displayed the most stable protein scaffold. Conclusions: Chickpea chitinases show differentiated temporal responses to herbivory and hormone signalling. The study supports a working model in which GH19 Car_Chit-4 marks a rapid salicylic-acid-responsive arm, whereas GH18 Car_Chit-19 marks a delayed herbivory-responsive arm. A tiered prioritization framework separates expression-deployed candidates from structure-guided biochemical candidates, explaining why different genes emerge from qRT-PCR and molecular modelling analyses. The structural analyses provide complementary prioritization of Car_Chit-17, Car_Chit-14, and Car_Chit-27 for biochemical characterization. Together, these results provide a resource for dissecting chitinase-mediated defence in chickpea and for selecting candidates for functional validation.
A chickpea genetic variation map based on the sequencing of 3,366 genomes
(Springer Nature Publishing AG, 2021) Varshney, Rajeev K; Roorkiwal, Manish; Sun, Shuai; Bajaj, Prasad; Chitikineni, Annapurna; Thudi, Mahendar; Singh, Narendra P; Du, Xiao; Upadhyaya, Hari D; Khan, Aamir W; Wang, Yue; Garg, Vanika; Fan, Guangyi; Cowling, Wallace A; Crossa, José; Gentzbittel, Laurent; Voss-Fels, Kai Peter; Valluri, Vinod Kumar; Sinha, Pallavi; Singh, Vikas K; Ben, Cécile; Rathore, Abhishek; Punna, Ramu; Singh, Muneendra K; Tar'an, Bunyamin; Bharadwaj, Chellapilla; Yasin, Mohammad; Pithia, Motisagar S; Singh, Servejeet; Soren, Khela Ram; Kudapa, Himabindu; Jarquín, Diego; Cubry, Philippe; Hickey, Lee T; Dixit, Girish Prasad; Thuillet, Anne-Céline; Hamwieh, Aladdin; Kumar, Shiv; Deokar, Amit A; Chaturvedi, Sushil K; Francis, Aleena; Howard, Réka; Chattopadhyay, Debasis; Edwards, David; Lyons, Eric; Vigouroux, Yves; Hayes, Ben J; Wettberg, Eric von; Datta, Swapan K; Yang, Huanming; Nguyen, Henry T; Wang, Jian; Siddique, Kadambot H M; Mohapatra, Trilochan; Bennetzen, Jeffrey L; Xu, Xun; Liu, Xin
Zero hunger and good health could be realized by 2030 through effective conservation, characterization and utilization of germplasm resources1. So far, few chickpea (Cicer arietinum) germplasm accessions have been characterized at the genome sequence level2. Here we present a detailed map of variation in 3,171 cultivated and 195 wild accessions to provide publicly available resources for chickpea genomics research and breeding. We constructed a chickpea pan-genome to describe genomic diversity across cultivated chickpea and its wild progenitor accessions. A divergence tree using genes present in around 80% of individuals in one species allowed us to estimate the divergence of Cicer over the last 21 million years. Our analysis found chromosomal segments and genes that show signatures of selection during domestication, migration and improvement. The chromosomal locations of deleterious mutations responsible for limited genetic diversity and decreased fitness were identified in elite germplasm. We identified superior haplotypes for improvement-related traits in landraces that can be introgressed into elite breeding lines through haplotype-based breeding, and found targets for purging deleterious alleles through genomics-assisted breeding and/or gene editing. Finally, we propose three crop breeding strategies based on genomic prediction to enhance crop productivity for 16 traits while avoiding the erosion of genetic diversity through optimal contribution selection (OCS)-based pre-breeding. The predicted performance for 100-seed weight, an important yield-related trait, increased by up to 23% and 12% with OCS- and haplotype-based genomic approaches, respectively.
A superior gene allele involved in abscisic acid signaling enhances drought tolerance and yield in chickpea
(Oxford University Press, 2023) Thakro, Virevol; Malik, Naveen; Basu, Udita; Srivastava, Rishi; Narnoliya, Laxmi; Daware, Anurag; Varshney, Nidhi; Mohanty, Jitendra K; Bajaj, Deepak; Dwivedi, Vikas; Tripathi, Shailesh; Jha, Uday Chand; Dixit, Girish Prasad; Singh, Ashok K; Tyagi, Akhilesh K.; Upadhyaya, Hari D; Parida, Swarup K.
Identifying potential molecular tags for drought tolerance is essential for achieving higher crop productivity under drought stress. We employed an integrated genomics-assisted breeding and functional genomics strategy involving association mapping, fine mapping, map-based cloning, molecular haplotyping and transcript profiling in the introgression lines (ILs)- and near isogenic lines (NILs)-based association panel and mapping population of chickpea (Cicer arietinum). This combinatorial approach delineated a bHLH (basic helix-loop-helix) transcription factor, CabHLH10 (Cicer arietinum bHLH10) underlying a major QTL, along with its derived natural alleles/haplotypes governing yield traits under drought stress in chickpea. CabHLH10 binds to a cis-regulatory G-box promoter element to modulate the expression of RD22 (responsive to desiccation 22), a drought/ABA-responsive gene (via a trans-expression QTL), and two strong yield-enhancement photosynthetic efficiency (PE) genes. This, in turn, upregulates other downstream drought-responsive and abscisic acid signaling genes, as well as yield-enhancing PE genes, thus increasing plant adaptation to drought with reduced yield penalty. We showed that a superior allele of CabHLH10 introgressed into the NILs improved root and shoot biomass and PE, thereby enhancing yield and productivity during drought without compromising agronomic performance. Furthermore, overexpression of CabHLH10 in chickpea and Arabidopsis (Arabidopsis thaliana) conferred enhanced drought tolerance by improving root and shoot agro-morphological traits. These findings facilitate translational genomics for crop improvement and the development of genetically-tailored, climate-resilient, high-yielding chickpea cultivars.