Decoding Mucormycosis through Omics: A Critical Narrative Review of Pathogen Biology, Host Responses, Diagnostics and Translational Gaps

Dhananjaya Mishra

Department of Biotechnology and Bioinformatics, Sambalpur University, Jyoti Vihar, Burla – 768019, Odisha, India.

Smaranika Pattnaik *

Laboratory of Medical Microbiology, School of Life Sciences, Sambalpur University, Jyoti Vihar, Burla-768019, Odisha, India.

*Author to whom correspondence should be addressed.


Abstract

Mucormycosis is a rapidly progressive angioinvasive infection caused by phylogenetically and phenotypically diverse fungi of the order Mucorales. Its high case fatality, limited antifungal armamentarium and dependence on early recognition create a strong rationale for molecular approaches that can resolve pathogen diversity, host susceptibility and treatment response. This critical narrative review examines how genomics, transcriptomics, epigenomics, proteomics, metabolomics and integrated multi-omics have reshaped the study of mucormycosis. Modern comparative genomics has clarified genome duplication, taxonomic boundaries, strain-level heterogeneity and the distribution of virulence-associated families such as CotH invasins. Functional transcriptomics has identified stress-adaptive programmes governing iron acquisition, phagosomal germination, dimorphism and host-cell injury, while small-RNA and chromatin studies demonstrate that antifungal adaptation can arise through reversible epimutations as well as stable DNA variation. Host transcriptomic and proteomic studies reveal strong inflammatory transcriptional signals but also compartment-specific immune failure and discordance between messenger RNA and protein abundance. Proteomic, phosphoproteomic and metabolomic evidence remains substantially less mature than genomic and transcriptomic evidence, particularly in clinical specimens. Translationally, targeted fungal DNA assays, whole-genome sequencing, metagenomic sequencing and mass-spectrometric identification can shorten diagnostic pathways and improve outbreak resolution, but analytical sensitivity, contamination control, taxonomic representation, cost and uncertain clinical thresholds constrain routine use. The central conclusion is that omics has generated credible mechanistic hypotheses and several validated molecular targets, yet the evidence base remains concentrated in a few model species, small patient cohorts and reductionist experimental systems. Progress now depends on prospective, longitudinal and geographically diverse studies that pair fungal and host measurements, apply rigorous metadata standards, validate biomarkers against clinically meaningful endpoints and distinguish general Mucorales biology from species- and context-specific mechanisms.

Keywords: Mucorales, fungal genomics, transcriptomics, proteomics, metabolomics, epigenetic resistance, host–pathogen interaction, molecular diagnosis


How to Cite

Mishra, D., & Pattnaik, S. (2026). Decoding Mucormycosis through Omics: A Critical Narrative Review of Pathogen Biology, Host Responses, Diagnostics and Translational Gaps. Biological Science: Research Developments and Innovations Vol. 1, 86–115. https://doi.org/10.9734/bpi/bsrdi/v1/7801