Toxoplasma gondii is a globally distributed apicomplexan parasite and a major food- and waterborne zoonotic threat, capable of infecting virtually all warm-blooded animals, with felids serving as the definitive hosts1. Infection in humans and animals commonly occurs through ingestion of tissue cysts or sporulated oocysts, and the parasite’s ability to alternate between tachyzoite and bradyzoite stages enables long-term persistence in neural and muscular tissues, contributing to both meat-borne and environmental transmission2,3.
Although three clonal lineages (Types I, II, and III) dominate in Europe and North America, extensive genetic diversity, including atypical and recombinant strains, has been documented globally, especially in regions with rich wildlife reservoirs4. Accurate strain discrimination is therefore essential for elucidating transmission dynamics, investigating outbreaks, and understanding regional epidemiology. Traditional genotyping approaches such as PCR-RFLP, Sanger-based multi-locus sequence typing (MLST), and microsatellite analysis have contributed substantially to our understanding of T. gondii population structure but are limited in resolution, throughput, and their ability to detect intra-genotype variation. These approaches often require multiple separate reactions and may fail to detect insertions, deletions, or complex haplotypes within polymorphic loci1. Short-read next-generation sequencing (NGS) has improved the detection of rare variants yet remains constrained in identifying complex structural changes4.
Long-read sequencing platforms, particularly Oxford Nanopore Technologies, now offer the ability to generate continuous high-accuracy reads suitable for resolving structural variants and highly polymorphic loci5. Their portability, real-time analysis capability, and compatibility with amplicon-based workflows make them promising tools for field applications and outbreak investigations6. Despite these advantages, standardized multi-locus long-read workflows for routine T. gondii genotyping remain limited.
To address this gap, we established a scalable long-read amplicon sequencing workflow targeting two polymorphic loci (Figure 1). Combined with a consensus polishing and variant-calling pipeline, this approach enables accurate detection of SNPs and INDELs, supporting strain-level discrimination. The protocol is suitable for laboratories equipped for PCR amplification and long-read sequencing and has been validated using cultured isolates. While adaptation to primary clinical or environmental samples may be feasible, such applications require additional optimization and validation. Overall, this workflow provides a structured framework for targeted molecular characterization and may support epidemiological investigations.