If your thoughts are in sync with above mentioned research and goals, please drop in a mail.
Ankit Verma | Ph. D. student |
Priya Jaiswal | Ph. D. student |
Richa Priyadarshini | Ph. D. student |
Antima Yadav | Ph. D. student |
Iny E. Mathew | Ph. D. student |
Sweta Das | Ph. D. student |
Arunima Mahto | Ph. D. student |
Naveen Malik | Ph. D. student |
Rajeev Ranjan | Ph. D. student |
Ankur Vichitra | RA |
Shubhra Rastogi | RA |
Rashmi Renu Sahoo | SRF |
Akanksha Panwar | SRF |
Purnima Singh | SRF |
Megha Varshney | SRF |
Sanjoli Jain | JRF |
Swarnmala Samal | JRF |
Veena K. Sinha | JRF |
Poonam Ray | JRF |
Stress Combinations and their Interactions in Plants (SCIP) Database - http://223.31.159.3/plant_complete/index_orangesunset.php and https://db.nipgr.ac.in/plant_complete/index_orangesunset.php |
VIGS database - https://vigs-database.btiscience.org/index.php |
pssRNAit: Designing Effective and Specific Plant RNAi siRNAs with Genome-wide Off-target Gene Assessment - https://www.zhaolab.org/pssRNAit/ |
Development of First-ever 90K Pan-genome SNP Genotyping Arrays, "Indian Rice panArray (IndRA)" and "Indian Chickpea panArray (IndiCA)" appeared in the latest released E-book (Cutting-Edge Technologies Impacting Agriculture and Allied Areas, Page 18) by the DBT, Ministry of Science & Technology, Government of India https://dbtindia.gov.in/latest-announcement/cutting-edge-technology-agriculture-and-allied-areas
SNP Arrays are released by Honourable Minister of Science & Technology Dr. Jitendra Singh Oct 8, 2021 for National Use. This technology has commercialized with Affymetrix Technologies, USA (Thermo Fisher Scientific, USA & Imperial Life Sciences, Gurgaon) for designing universal array for large-scale SNP genotyping applications in rice and chickpea.
Molecular studies on rice grain/seed development (goal: increase yield and protein content of rice grain)
Rice is a staple food of majority of the world’s population, including India. It is the source of livelihood for many farmers, and is an economically important crop plant. Increasing population, and the consequences thereof, are exerting a pressure on the land available for rice cultivation. Scientifically calculated predictions say that rice yield needs to be increased without a corresponding increment in the cultivated area. Rice contributes to 40% of the total protein intake in India, despite having a low protein content (up to 10%). Hence, the plant can be used to address the problem of malnutrition. Since the edible part of rice crop is seed/grain (diagram on left), research on the same is extremely essential to obtain food security.
Rice seed development has been categorized by us into five stages. Each stage has distinct morphological changes. Transcriptome analysis by microarray has highlighted the genes and pathways responsible for the processes occurring in each stage. Transcriptome analysis by RNAseq on the same stages, in two varieties of rice, one with large seed and the other with small seed, has shown the causes of grain size increment. miRNA analyses of all these tissues indicates that they play an important role in controlling seed size. Gene families such as those encoding for C2H2 zinc finger transcription factors, seed storage proteins and DLN repressors have been identified by us in rice. The functional role of many such transcriptional activators/repressors is being/has been elucidated in the lab. One such example is a NAC transcription factor which is good for the formation of sticky rice. Genes whose function in seed development has been characterized, especially ones responsible for size increment or seed storage protein synthesis will eventually be used for rice crop improvement.
Travel grant award by American Society of Plant Biologists (ASPB) to attend Plant Biology 2018 (not availed) |
Selected for the 1st EMBO research leadership course in India by DBT India Alliance (2018) |
SERB 'Women Excellence Award' (2013) by Science and Research Engineering Board, India and was felicitated with the same on Women's Day, 2013 at the Department of Science and Technology, New Delhi |
INSA Young Scientist's Award (2012) |
Special mention in Indian Women Scientist's Association (IWSA) newsletter (December 2012) |
Junior and senior research fellowships from UGC (2001) |
President of Gargi College Botanical Society (2000) |
Gayacharan, Parida SK, Singh AK, Chattopadhyay D, Joshi DC, Katna G (2024) Rice Bean (Vigna umbellata (Thunb.) Ohwi & Ohashi) Potential Pulses: Genetic and Genomic Resources. CABI Publisher, pp. 100-115. DOI:10.1079/9781800624658.0006. |
Basu U, Parida SK (2023) CLAVATA signaling pathway receptors modulate developmental traits and stress responses in crops. In: Upadhyay SK, Shumayla (eds), Plant Receptor-Like Kinases. Elsevier B.V., pp 371-392.https://doi.org/10.1016/B978-0-323-90594-7.00004-1. |
Jha UC, Nayyar H, Parida SK, Siddique KHM (2022) Horse gram, an underutilized climate-resilientlegume: Breeding and genomic approach for improving future genetic gain. Developing Climate Resilient Grain and Forage Legumes. 167-178. |
Daware A, Parida SK, Tyagi AK (2020) Integrated genomic strategies for cereal genetic enhancement: combining QTL and association mapping. Cereal Genomics 2072:15-25. |
Tripathi S, Singh RK, Parida SK, Chaturvedi SK, Gaur PM, Kumar S, Dikshit HK, Mishra GP, Singh A (2022) Biofortification of Chickpea. Biofortification of Staple Crops, Springer Singapore, pp 335-344 doi.org/10.1007/978-981-16-3280-8_13. |
Mohanty JK, Parida SK (2022) Small RNA-omics: Decoding the regulatory networks associated with horticultural traits. Omics in Horticultural Crops doi.org/10.1016/B978-0-323-89905-5.00001-X. |
Jha UC, Bohra A, Nayyar H, Rani A, Devi P, Saabale PR, Parida SK (2019) Breeding and Genomics Approaches for Improving Productivity Gains in Chickpea Under Changing Climate. In: Kole C. (eds) Genomic Designing of Climate-Smart Pulse Crops. Springer, Cham, pp-135-164. |
Jha UC, Barh D, Parida SK, Jha R, Singh NP (2016) Whole-genome resequencing: current status and future prospects in genomics-assisted crop improvement. Applied Molecular Biotechnology: The Next Generation of Genetic Engineering, CRC Press, Taylor & Francis Group, Inc, 209-234. |
Das S, Parida SK (2015) Synergistic plant genomics and molecular breeding approaches for ensuring food security. In Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods, Second Edition (eds Bagchi D, Swaroop A, Bagchi M), John Wiley & Sons, Ltd, Chichester, UK. DOI: 10.1002/9781118930458.ch14. |
Parida SK, Mohapatra T (2010) Whole genome sequencing. In: Kole C, Abbott AG (Eds) Principles and Practices of Plant Genomics, Vol 3, Advanced Genomics, Science Publishers, Inc, New Hampshire and Edenbridge Ltd, British Isles, pp 120-174. |
Mohanty JK, Parida SK (2024) Stripping off the rice panicle: induced genetic variation awakens the sheathed spikelet for a better yield. Journal of Experimental Botany 75:5459-5462. |
Jha UC, Nayyar H, Roychowdhury R, Prasad PVV, Parida SK, Siddique KHM (2024) Non-coding RNAs (ncRNAs) in plant: Master regulators for adapting to extreme temperature conditions. Plant Physiology Biochemistry 205:108164 |
Basu U, Parida SK (2021) Restructuring plant types for developing tailor-made crops. Plant Biotechnology Journal 21:1106-1122. |
Basu U and Parida SK (2023) The developmental dynamics in cool season legumes with focus on chickpea. Plant Molecular Biology 111:473-491. |
Giri J, Parida SK, Raghuvanshi S and Tyagi AK (2021) Emerging molecular strategies for improving rice drought tolerance. Current Genomics 22:16-25. |
Pandey S, Singh A, Parida SK, Prasad M (2022) Combining speed breeding approaches with conventional and genomics-assisted breeding for crop improvement. Plant Breeding 141:301-313. |
Daware A, Parida SK, Tyagi AK (2020) Integrated genomic strategies for cereal genetic enhancement: combining QTL and association mapping. Cereal Genomics 2072:15-25. |
Jha UC, Bohra A, Pandey S, Parida SK (2020) Breeding, genetics, and genomics approaches for improving Fusarium wilt resistance in major grain legumes. Frontiers in Genetics 11:1001. |
Daware A, Parida SK, Tyagi AK (2019) Integrated Genomic Strategies for Cereal Genetic Enhancement: Combining QTL and Association Mapping. Methods Molecular Biology 2072:15-25. |
Jha UC, Bohra A, Jha R, Parida SK (2019) Salinity stress response and 'omics' approaches for improving salinity stress tolerance in major grain legumes. Plant Cell Reports 38:255-277. |
Jha UC, Sharma, KD, Nayyar H, Parida SK, Siddique KHM (2022) Breeding and Genomics Interventions for Developing Ascochyta Blight Resistant Grain Legumes. International Journal of Molecular Science 23:2217. |
Agarwal P, Parida SK, Raghuvanshi S, Kapoor S, Khurana P, Khurana JP, Tyagi AK (2016) Rice improvement through genome-based functional analysis and molecular breeding in India. Rice 9:1. |
Agarwal P, Parida SK, Mahto A, Das S, Mathew IE, Malik N, Tyagi AK (2014) Expanding frontiers in plant transcriptomics in aid of functional genomics and molecular breeding. Biotechnology Journal 9:1480-1492. |
Kujur A, Saxena MS, Bajaj D, Laxmi, Parida SK (2013) Integrated genomics and molecular breeding approaches for dissecting the complex quantitative traits in crop plants. Journal of Biosciences 38:971-987. |
Das A, Parida SK (2013) Advances in biotechnological applications in three important food legumes. Plant Biotechnology Reports 8:83-99. |
"Rice Pan-Genome Genotyping Array Analysis Portal (RAP)"http://www.rpgaweb.com |
Crop Genome-Wide Association Studies Resource; "GWAShub"www.gwashub.com |
"Oryza ISM-ILP Marker Database"http://webapp.cabgrid.res.in/ismdb/ or http://bioinformatics.iasri.res.in/ismdb/ |
"Chickpea ISM-ILP marker Database"/strong> http://webapp.cabgrid.res.in/chickpea/ or http://bioinformatics.iasri.res.in/chickpea |
"CNSNP-CICARBASE"http://www.cnsnpcicarbase.com |
Development of the First-ever 90K Pan-genome SNP Genotyping Arrays, "Indian Rice panArray (IndRA)" and "Indian Chickpea panArray (IndiCA)" for accelerated genomics-assisted crop improvement of rice and chickpea.
Annually, huge amount of yield loss is incurred due to occurrence of water stress at maturity in chickpea. Marker-assisted backcross breeding-derived drought tolerant desi chickpea variety "ADVIKA (NC7)" developed by introgressing superior natural alleles of an ABC transporter gene in the genetic background of JG 16 enhances seed weight and yield (7% high) under drought stress. This is the First high-yielding drought tolerant variety developed by DBT-NIPGR is now approved by the Central Sub-committee on Crop Standards, Notification and Release of Varieties (CVRC), Ministry of Agriculture & Farmers Welfare, Government of India, for Release and Notification as a Central Variety for National use and Cultivation especially in Central Zone of India.
Development of High-yielding Protein-rich Desi and Kabuli Varieties in Chickpea [ICAR-All India Coordinated Research Projects (AICRP) on Chickpea-Advanced Varietal Trial].
Development of A Semi-erect/Semi-dwarf Chickpea Variety with Enhanced Planting Density and Productivity [ICAR- AICRP on Chickpea-Advanced Varietal Trial].
Development of an Early-Flowering/Maturing Chickpea Variety with Increased Flower number and Enhanced Yield [ICAR- AICRP Trials on Chickpea-Advanced Varietal Trial].
Verma A, Prakash G, Ranjan R, Tyagi A K, Agarwal P# (2021) Silencing of an ubiquitin ligase increases grain width and weight in indica rice. Frontiers in Genetics 11:600378 (# - corresponding author) |
Mathew IE, Priyadarshini R, Mahto A, Jaiswal P, Parida SK, Agarwal P# (2020) SUPER STARCHY1/ONAC025 participates in rice grain filling. Plant Direct 4:e00249 (# - corresponding author) |
Malik N, Ranjan R, Parida SK, Agarwal P, Tyagi AK (2020) Mediator subunit OsMED14_1 plays an important role in rice development. Plant Journal 101:1411. |
Das S, Parida SK, Agarwal P#, Tyagi AK (2019) Transcription factor OsNF-YB9 regulates reproductive growth and development in rice. Planta 250:1849 (# - corresponding author) |
Singh P, Mathew IE, Verma A, Tyagi A K, Agarwal P# (2019) Analysis of Rice Proteins with DLN Repressor Motif/S. Int J Mol Sci 20:1600 (# - corresponding author) |
Mathew IE, Agarwal P# (2018) May the fittest protein evolve: favoring the plant-specific origin and expansion of NAC transcription factors. BioEssays 40:e1800018 (# - corresponding author) |
Malik N, Agarwal P, Tyagi A K (2017) Emerging functions of multi-protein complex Mediator with special emphasis on plants. Critical Reviews in Biochemistry and Molecular Biology 52:475. |
Mathew IE, Das S, Mahto A, Agarwal P# (2016) Three rice NAC transcription factors heteromerize and are associated with seed size. Front Plant Sci 7:1638. (# - corresponding author) |
Daware A, Das S, Srivastava R, Badoni S, Singh AK, Agarwal P, Parida SK, Tyagi AK (2016) An efficient strategy combining SSR markers- and advanced QTL-seq-driven QTL mapping unravels candidate genes regulating grain weight in rice. Front Plant Sci 7:1535. |
Malik N, Dwivedi N, Singh A K, Parida S K, Agarwal P, Thakur J K, Tyagi A K (2016) An integrated genomic strategy delineates candidate mediator genes regulating grain size and weight in rice. Sci Rep 6:23253. |
Agarwal P, Parida S K, Raghuvanshi S, Kapoor S, Khurana P, Khurana J P, Tyagi A K (2016) Rice improvement through genome-based functional analysis and molecular breeding in India. Rice (N Y) 9 (1):1. |
Daware A, Das S, Srivastava R, Badoni S, Singh AK, Agarwal P, Parida SK, Tyagi AK (2016) An efficient strategy combining SSR markers- and advanced QTL-seq-driven QTL mapping unravels candidate genes regulating grain weight in rice. Frontiers in Plant Sciences 7:1535. |
Malik N, Dwivedi N, Singh A K, Parida S K, Agarwal P, Thakur J K, Tyagi A K (2016) An integrated genomic strategy delineates candidate mediator genes regulating grain size and weight in rice. Scientific Reports 6:23253. |
Badoni S, Das S, Sayal YK, Gopalakrishnan S, Singh AK, Rao AR, Agarwal P, Parida SK, Tyagi AK (2016) Genome-wide generation and use of informative intron-spanning and intron-length polymorphism markers for high-throughput genetic analysis in rice. Scientific Reports 6:23765. |
Agarwal P, Parida S K, Mahto A, Das S, Mathew I E, Malik N, Tyagi A K (2014) Expanding frontiers in plant transcriptomics in aid of functional genomics and molecular breeding. Biotechnol J 9:1480-1491. |
Thakur J K, Agarwal P, Parida S, Bajaj D, Pasrija R (2013) Sequence and expression analyses of KIX domain proteins suggest their importance in seed development and determination of seed size in rice, and genome stability in Arabidopsis. Molecular Genetics and Genomics 288:329-46. |
Sharma R*, Agarwal P*, Ray S, Deveshwar P, Sharma P, Sharma N, Nijhawan A, Jain M, Singh A K, Singh V P, Khurana J P, Tyagi A K, Kapoor S. (2012) Expression dynamics of metabolic and regulatory components across stages of panicle and seed development in indica rice. Funct Integr Genomics 12:229-248 (*-equal contribution) |
Agarwal P, Kapoor S, Tyagi A K. (2011) Transcription factors regulating the progression of monocot and dicot seed development. BioEssays 33:189-202. |
Chauhan H, Khurana N, Agarwal P, Khurana P (2011) Heat shock factors in rice (Oryza sativa L.): genome-wide expression analysis during reproductive development and abiotic stress. Molecular Genetics and Genomics 286:171-187. |
Ray S, Dansana, P K, Giri J, Deveshwar P, Arora R, Agarwal P, Khurana J P, Kapoor S, Tyagi A K. (2011). Modulation of transcription factor and metabolic pathway genes in response to water-deficit stress in rice. Functional and Integrative Genomics 11:157-78. |
Agarwal P, Arora R, Ray S, Singh A K, Singh V P, Takatsuji H, Kapoor S, Tyagi A K. (2007) Genome-wide identification of C2H2 zinc-finger gene family in rice and their phylogeny and expression analysis. Plant Mol Biol 65:467-485. |
Ray S, Agarwal P, Arora R, Kapoor S, Tyagi A K. (2007) Expression analysis of calcium- dependent protein kinase gene family during reproductive development and abiotic stress conditions in rice (Oryza sativa L. ssp. indica). Molecular Genetics and Genomics 278:493-505. |
Arora R, Agarwal P, Ray S, Singh A K, Singh V P, Tyagi A K, Kapoor S. (2007) MADS-box gene family in rice: Genome wide identification, organization and expression profiling during reproductive development and stress. BMC Genomics 8:242. |
Jain M, Nijhawan A, Arora R, Agarwal P, Ray S, Sharma P, Kapoor S, Tyagi A K, Khurana J P. (2007) F-box proteins in rice: Genome-wide analysis, classification, spatial and temporal gene expression during panicle and seed development, and regulation by light and abiotic stress. Plant Physiol 143:1467-1483. |
Mahto A, Mathew IE and Agarwal P (2017). Decoding the transcriptome of rice seed during development. In Advances in Seed Biology, J. C. Jimenez-Lopez (Ed.), 25, InTech, Spain. |
Agarwal P, Parida S, Kothari KS, Sharma G, Baranwal V, Kapoor S and Tyagi A. (2012). Transcriptome resources for function analysis and genetic enhancement of rice. In International Dialogue on Designer Rice for Future: Perception and Prospects EA Siddiq eds., 1-25, Patancheru, India |
Kapoor S, Khurana R, Baranwal V, Agarwal P, Ray S, and Tyagi AK (2011). Genome-wide strategies for genetic enhancement of rice. Proceedings of National Symposium on Genomics and Crop Improvement 2011 (In Press), Hyderabad, India. |
Tyagi AK, Khurana JP, Khurana P, Kapoor S, Singh VP, Singh AK, Thakur JK, Gupta V, Anand S, Vij S, Jain M, Ray S, Agarwal P, Arora R, Sharma P, Mukerjee S, Nijhawan A, Giri J, Khurana R (2007). Expression and functional analysis of rice genes involved in reproductive development and stress response. Rice Genetics V, 301-334, IRRI, Philippines. |
Staff Scientist IV, NIPGR (2018 – present) |
Staff Scientist III, NIPGR (2014 – 2018) |
Scientist II, NIPGR (2011 - 2014) |
Research Scientist, Center of Excellence, Department of Plant Molecular Biology, Delhi University (2010 – 11) |
Ph. D., Department of Plant Molecular Biology, Delhi University (2003-09) |
M. Sc., Department of Plant Molecular Biology, Delhi University (2001-03) |
B. Sc. (Botany-Hons.), Gargi College, Delhi University (1998-2001) |