Rapid genotyping of Toxoplasma gondii isolates via Nanopore-based multi-locus sequencing.
Zisis KoutsogiannisPaul W DennyPublished in: AMB Express (2024)
Toxoplasma gondii is an obligate intracellular parasite associated with severe disease, especially in the immunosuppressed. It is also a cause of congenital malformation and abortion in both animals and humans and is considered one of the most important foodborne pathogens worldwide with different strains showing variable distribution and differing pathogenicity. Thus, strain-level differentiation of T. gondii isolates is an essential asset in the understanding of parasite's diversity, geographical distribution, epidemiology and health risk. Here, we designed and implemented an Oxford Nanopore MinION protocol to analyse genomic sequence variation including single nucleotide polymorphisms (SNPs) and insertion/deletion polymorphisms (InDel's) of four different genomic loci, part of protein coding genes SAG2, SAG3, ROP17 and ROP21. This method provided results with the sequencing depth necessary for accurate differentiation of T. gondii strains and represents a rapid approach compared to conventional techniques which we further validated against environmental samples isolated from wild wood mice. In summary, multi-locus sequence typing (MLST) of both highly conserved and more polymorphic areas of the genome, provided robust data for strain classification in a platform ready for further adaption for other strains and pathogens.
Keyphrases
- toxoplasma gondii
- genome wide
- genetic diversity
- health risk
- escherichia coli
- copy number
- dna methylation
- genome wide association study
- single molecule
- gram negative
- single cell
- high throughput
- drinking water
- machine learning
- randomized controlled trial
- deep learning
- heavy metals
- amino acid
- high resolution
- transcription factor
- optical coherence tomography
- antimicrobial resistance
- risk factors
- multidrug resistant
- electronic health record
- genome wide association
- protein protein
- big data
- high fat diet induced
- mass spectrometry
- gene expression
- cystic fibrosis
- quantum dots
- biofilm formation
- climate change
- cell wall
- reactive oxygen species
- staphylococcus aureus
- bioinformatics analysis