ArticleEvolutionary applications2025
Populations of the Australian Saltmarsh Mosquito
Article in Evolutionary applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed.
- Ross River virus transmission, infection, and disease: two and a half decades of research progress-an updated cross-disciplinary review.Clinical microbiology reviews · 2026Review
- Ambrosia beetle invasions are structured by inbreeding, intraspecific hybridization, and bridgeheads.Molecular biology and evolution · 2026Article
- Qualitative risk assessment of Japanese encephalitis virus introduction and transmission in Pacific Island countries and territories.PLoS neglected tropical diseases · 2026Article
- An investigation of connectivity patterns among populations of the Australian mosquito (Open veterinary journal · 2026Article
- Populations of the Australian Saltmarsh MosquitoEvolutionary applications · 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
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pest management programmes can operate more effectively when movement patterns of target species are known. As individual insects are difficult to track, genomic data can instead be used to infer movement patterns based on pest population structure and connectivity. These data can also provide critical information about cryptic taxa relevant to management. Here we present the first genomic investigation of
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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.