Staff Profile

Educational Qualification

Bachelor of Engineering (B.E) in Biotechnology
Master of Technology (M.Tech) in Bioinformatics
Doctor of Philosophy (PhD) in Developmental Biology

Personal Statement

My research focuses on using bioinformatics and computational genomics to better understand infectious diseases. I work with genome, transcriptome, single-cell, and pangenome sequencing data to explore how pathogens evolve, interact with their hosts, and adapt at both population and cellular levels. I am particularly interested in discovering genomic markers and biological signatures that can improve disease detection, surveillance, and public health research. Through integrative data analysis, I aim to translate complex genomic information into meaningful insights with real-world biomedical applications.

Research Focus

• Bioinformatics and computational genomics in infectious disease research

• Analysis of whole-genome, transcriptome, and single-cell sequencing data

• Pangenome analysis and genomic marker discovery

• Host–pathogen interaction and evolutionary genomics

• Multi-omics data integration for genomic surveillance and translational research

Ongoing projects as Principal investigator

None currently listed

Significant Publications

• Álvarez-González, L., Burden, F., Doddamani, D. et al. 3D chromatin remodelling in the germ line modulates genome evolutionary plasticity. Nat Commun 13, 2608 (2022). https://doi.org/10.1038/s41467-022-30296-6
• Doddamani, D., Lázár, B., Ichikawa, K. et al. Propagation of goose primordial germ cells in vitro relies on FGF and BMP signalling pathways. Commun Biol 8, 301 (2025). https://doi.org/10.1038/s42003-025-07715-7
• Doddamani D, Woodcock M, Taylor L, Nandi S, McTeir L, Davey MG, Smith J, McGrew MJ. The Transcriptome of Chicken Migratory Primordial Germ Cells Reveals Intrinsic Sex Differences and Expression of Hallmark Germ Cell Genes. Cells. 2023 Apr 13;12(8):1151. doi: 10.3390/cells12081151. PMID: 37190060; PMCID: PMC10136783.
• Varshney, R., Shi, C., Thudi, M. et al. Pearl millet genome sequence provides a resource to improve agronomic traits in arid environments. Nat Biotechnol 35, 969–976 (2017). https://doi.org/10.1038/nbt.3943
• Varshney, R.K., Thudi, M., Roorkiwal, M. et al. Resequencing of 429 chickpea accessions from 45 countries provides insights into genome diversity, domestication and agronomic traits. Nat Genet 51, 857–864 (2019). https://doi.org/10.1038/s41588-019-0401-3
• Ballantyne, M., Woodcock, M., Doddamani, D. et al. Direct allele introgression into pure chicken breeds using Sire Dam Surrogate (SDS) mating. Nat Commun 12, 659 (2021). https://doi.org/10.1038/s41467-020-20812-x
• X. Chen, H. Li, M.K. Pandey, et al. Draft genome of the peanut A-genome progenitor (Arachis duranensis) provides insights into geocarpy, oil biosynthesis, and allergens, Proc. Natl. Acad. Sci. U.S.A. 113 (24) 6785-6790, https://doi.org/10.1073/pnas.1600899113 (2016).
• Agarwal G, Garg V, Kudapa H, Doddamani D, Pazhamala LT, Khan AW, Thudi M, Lee SH, Varshney RK. Genome-wide dissection of AP2/ERF and HSP90 gene families in five legumes and expression profiles in chickpea and pigeonpea. Plant Biotechnol J. 2016 Jul;14(7):1563-77. doi: 10.1111/pbi.12520. Epub 2016 Jan 23. PMID: 26800652; PMCID: PMC5066796
• Roorkiwal M, Jain A, Kale SM, Doddamani D, Chitikineni A, Thudi M, Varshney RK. Development and evaluation of high-density Axiom® CicerSNP Array for high-resolution genetic mapping and breeding applications in chickpea. Plant Biotechnol J. 2018 Apr;16(4):890-901. doi: 10.1111/pbi.12836. Epub 2017 Oct 31. PMID: 28913885; PMCID: PMC5866945.

Research Profiles