Scrub typhus, caused by the bacterium Orientia tsusugamushi, is one of the
major public health challenges in various regions. The onset of multi-omics technology
has improved our understanding of infectious diseases, including Scrub typhus. This
chapter provides the application of multiomics approaches, which integrate genomics,
transcriptomics, proteomics, metabolomics, and beyond, to decipher the complexities
of Scrub typhus disease. Genomic analysis allowed the identification of genetic
variation in Orientia tsusugamushi strains, shedding light on virulence factors and
host-pathogen interactions. Transcriptomic studies have elucidated the dynamic gene
expression patterns during infection, providing insights into the molecular mechanisms
underlying pathogenicity. Proteomic analyses facilitated the identification of key
proteins involved in host manipulation and immune evasion. Furthermore,
metabolomic profiling has provided a comprehensive view of the metabolic changes in
both the host and the pathogen during infection. The combination of these multi-omics
datasets has the potential to identify complex interactions and biomarkers associated
with Scrub typhus development. This chapter highlights the ongoing research of Scrub
typhus through the lens of multi-omics technology, which focuses on the importance of
a holistic approach to profound knowledge about the disease and the development of
targeted interventions.
Keywords: Chigger, ChIP sequencing, De nova sequencing, Exome, Genome, Genomics, Multi-omics, Metabolomics, Microbiomics, Microarray, Next generation sequencing, Orientia tsusugamushi, Proteomics, Ribosome profiling, Scrub typhus, Transcriptomics, Transcriptome, Whole genome sequencing.
