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
- copy number
- escherichia coli
- dna methylation
- single molecule
- single cell
- genome wide association study
- gram negative
- heavy metals
- high throughput
- randomized controlled trial
- amino acid
- machine learning
- drinking water
- antimicrobial resistance
- loop mediated isothermal amplification
- deep learning
- electronic health record
- early onset
- big data
- transcription factor
- type diabetes
- human health
- reactive oxygen species
- solid state
- metabolic syndrome
- risk factors
- risk assessment
- adipose tissue
- insulin resistance
- life cycle
- gene expression
- pseudomonas aeruginosa
- optical coherence tomography
- skeletal muscle
- biofilm formation
- staphylococcus aureus
- quantum dots
- cystic fibrosis
- genome wide analysis