Microsporidia and Mosquito Host Metabarcoding Data from Field Populations

212 field-collected mosquitoes were analyzed using a new metabarcoding method, revealing almost 60% infection prevalence by at least 11 different microsporidian species. The dataset includes ssu rDNA sequences for 607 microsporidian species and a shortened COI gene fragment for host identification. It was developed by researchers at Adam Mickiewicz University in Poznań to enable parallel detection of parasite and host.

Use Cases

• Detecting mixed microsporidian infections based on the described NGS method targeting the V5 region.
• Identifying mosquito host species from field samples based on the shortened COI gene barcode.
• Phylogenetic analysis of microsporidian lineages, such as the new Microsporidium sp. PL01.
• Studying infection dynamics and prevalence in natural mosquito populations based on the reported 60% infection rate.

Strengths

• The V5 region primer set enables identification of >98% of species in a reference dataset of 607 microsporidian species.
• Method validated on 212 field-collected mosquito specimens, with a high infection prevalence of almost 60%.
• Designed for broad application, applicable to all types of DNA extracts including medical and environmental samples.

Limitations

• Row count and specific column-level documentation are unknown, limiting suitability assessment.
• Last update date is unknown; freshness unverified.
• The observation regarding Nosema spp. in co-infections requires more intensive host sampling for confirmation.

Provenance

Source

Adam Mickiewicz University in Poznań

Collection Method

A newly developed metabarcoding method using NGS, with primers targeting the microsporidian V5 region and a shortened host COI gene.

Geography

Field-collected mosquito populations (location unspecified).