ArticlePLoS neglected tropical diseases2021
The influence of roads on the fine-scale population genetic structure of the dengue vector Aedes aegypti (Linnaeus).
Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Fine-scale adaptive divergence and population genetic structure of Aedes aegypti in Metropolitan Manila, Philippines.Parasites & vectors · 2024Article
- Microsatellite-based analysis revealsEvolutionary applications · 2024Article
- Article
- Leveraging insect-specific viruses to elucidate mosquito population structure and dynamics.PLoS pathogens · 2023Review
- Genome-wide detection ofFrontiers in cellular and infection microbiology · 2023Article
- The application of geographic information system for dengue epidemic in Southeast Asia: A review on trends and opportunity.Journal of public health research · 2022Article
- Fine-scale genetic structure andFrontiers in genetics · 2022Article
- Dengue Infection Susceptibility of FiveViruses · 2021Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue is endemic in tropical and subtropical countries and is transmitted mainly by Aedes aegypti. Mosquito movement can be affected by human-made structures such as roads that can act as a barrier. Roads can influence the population genetic structure of Ae. aegypti. We investigated the genetic structure and gene flow of Ae. aegypti as influenced by a primary road, España Boulevard (EB) with 2000-meter-long stretch and 24-meters-wide in a very fine spatial scale. We hypothesized that Ae. aegypti populations separated by EB will be different due to the limited gene flow as caused by the barrier effect of the road. A total of 359 adults and 17 larvae Ae. aegypti were collected from June to September 2017 in 13 sites across EB. North (N1-N8) and South (S1-S5) comprised of 211 and 165 individuals, respectively. All mosquitoes were genotyped at 11 microsatellite loci. AMOVA FST indicated significant genetic differentiation across the road. The constructed UPGMA dendrogram found 3 genetic groups revealing the clear separation between North and South sites across the road. On the other hand, Bayesian cluster analysis showed four genetic clusters (K = 4) wherein each individual samples have no distinct genetic cluster thus genetic admixture. Our results suggest that human-made landscape features such as primary roads are potential barriers to mosquito movement thereby limiting its gene flow across the road. This information is valuable in designing an effective mosquito control program in a very fine spatial scale.
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