Background Gastrointestinal nematodes (GIN) have significant economic impacts on livestock production worldwide. Comprehensive information on their epidemiology is crucial for effective control. In Africa, limited data are available on the genetic diversity of GIN, as most studies rely on faecal egg counts and larvae morphology, which provide low resolution. This study aimed to assess GIN diversity and evaluate deep-amplicon-based sequencing tools in an African setting.
