ArticleMicrobial genomics2026
High-throughput detection of microeukaryotic parasites in insects using Nanopore sequencing.
Article in Microbial genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mass rearing of insects for food and feed is increasing significantly, but it presents challenges in detecting and characterizing pathogens which may cause severe economic losses. Much attention is placed on detecting viruses, bacteria and fungi; however, other significant entomopathogens remain overlooked, such as protist and microsporidian parasites. This study employed Nanopore sequencing to explore and phylogenetically analyse microsporidian and protist parasites in reared insects. Using group-specific primers and amplicon pooling strategies, we successfully amplified and sequenced a key protist group (Gregarinasina), microsporidia and fungal pathogens from insect host DNA, providing data for their future detection. Our approach generated novel molecular data, enabling the inference of small subunit and long subunit rRNA phylogenies which enhance the understanding of the evolutionary origin of these parasites. Furthermore, we highlight potential shortcomings of currently available primers and provide new Gregarine-specific primers to aid in further research of these overlooked entomopathogens. This research demonstrates the effectiveness of third-generation sequencing technologies in improving diagnostic tools and advances the study of pathogen biodiversity within economically important insect hosts.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.