Enhanced Genomic and Transcriptomic Resources for Trichinella pseudospiralis and T. spiralis to Underpin the Discovery of Molecular Differences between Stages and Species.
Pasi K KorhonenGiuseppe La RosaSunita B SumanamMaria Angeles Gomez MoralesAlessandra LudovisiEdoardo PozioDaniele TonanziBill C H ChangNeil David YoungRobin B GasserPublished in: International journal of molecular sciences (2024)
Nematodes of the genus Trichinella are important pathogens of humans and animals. This study aimed to enhance the genomic and transcriptomic resources for T. pseudospiralis (non-encapsulated phenotype) and T. spiralis (encapsulated phenotype) and to explore transcriptional profiles. First, we improved the assemblies of the genomes of T. pseudospiralis (code ISS13) and T. spiralis (code ISS534), achieving genome sizes of 56.6 Mb (320 scaffolds, and an N50 of 1.02 Mb) and 63.5 Mb (568 scaffolds, and an N50 value of 0.44 Mb), respectively. Then, for each species, we produced RNA sequence data for three key developmental stages (first-stage muscle larvae [L1s], adults, and newborn larvae [NBLs]; three replicates for each stage), analysed differential transcription between stages, and explored enriched pathways and processes between species. Stage-specific upregulation was linked to cellular processes, metabolism, and host-parasite interactions, and pathway enrichment analysis showed distinctive biological processes and cellular localisations between species. Indeed, the secreted molecules calmodulin, calreticulin, and calsyntenin-with possible roles in modulating host immune responses and facilitating parasite survival-were unique to T. pseudospiralis and not detected in T. spiralis . These insights into the molecular mechanisms of Trichinella -host interactions might offer possible avenues for developing new interventions against trichinellosis.
Keyphrases
- immune response
- single cell
- signaling pathway
- small molecule
- genetic diversity
- transcription factor
- rna seq
- physical activity
- cell proliferation
- machine learning
- high throughput
- toxoplasma gondii
- electronic health record
- heat shock
- dendritic cells
- single molecule
- multidrug resistant
- artificial intelligence
- free survival
- heat shock protein