ArticleScientific reports2025
Monitoring biodiversity and detection of diverse vertebrate species with mosquito blood meal analysis at the DeLuca Preserve, Florida, USA.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Diversity of Dipteran Vectors Associated with Different Mammalian Hosts in a Peri-Urban Zoological Garden in NW Spain.Acta parasitologica · 2026Article
- A comparison of conventional methods and mosquito blood meal analysis to assess vertebrate diversity.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biodiversity monitoring is essential to conservation, yet field surveys are expensive, labor-intensive, and require substantial taxonomic expertise. DNA-based approaches are increasingly implemented to indirectly detect the presence of species at diverse types of field sites. In terrestrial ecosystems, invertebrate-derived DNA (iDNA) has potential to contribute to monitoring efforts that aim to characterize the diversity of vertebrate communities or to detect the presence of vertebrate species. We investigated the feasibility of using mosquito blood meals to detect vertebrate animals, focusing on the diversity of species detected by mosquitoes collectively and by individual species. Mosquitoes were collected at the DeLuca Preserve, Osceola County, Florida, USA over an eight-month period using sampling methods known to be effective for blood-fed mosquitoes. Blood-fed mosquitoes were identified and screened for host DNA using DNA barcoding-based blood meal analysis. From a sample of 2,051 identified blood meals, representing 21 mosquito species, mosquitoes collectively detected 86 vertebrate species. This assemblage of vertebrates was taxonomically diverse with species from all four terrestrial vertebrate classes, 22 orders, including large- and small-bodied species, and species that are nocturnal, diurnal, migratory, resident, fossorial, arboreal, and semiaquatic, and those that are imperiled, invasive, and cryptic. The host detection efficiency, a measure of the number of detected vertebrate species relative to the number of identified blood meals, varied among mosquito species, indicating that species do not contribute equally to detecting vertebrate species within a community. Our results demonstrate the feasibility of mosquito-based iDNA as a detection method for vertebrates, capable of detecting diverse vertebrate species with a single sampling technique. Because of variation in mosquito diversity patterns between geographic sites and habitats, and in the host associations and host detection efficiency among mosquito species, preliminary surveys to identify and target mosquito species appropriate to the goals of the monitoring effort would be expected to optimize return on investment in mosquito-based vertebrate surveys.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.