{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T18:30:28Z","timestamp":1792089028114,"version":"4.4.0"},"update-to":[{"DOI":"10.1371\/journal.pntd.0011486","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2023,8,8]],"date-time":"2023-08-08T00:00:00Z","timestamp":1691452800000}}],"reference-count":91,"publisher":"Public Library of Science (PLoS)","issue":"7","license":[{"start":{"date-parts":[[2023,7,27]],"date-time":"2023-07-27T00:00:00Z","timestamp":1690416000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science and Engineering Research Board, New Delhi - Early Career Research Award","award":["ECR\/2018\/001473"],"award-info":[{"award-number":["ECR\/2018\/001473"]}]}],"content-domain":{"domain":["www.plosntds.org"],"crossmark-restriction":false},"short-container-title":["PLoS Negl Trop Dis"],"abstract":"<jats:p>The present study explicitly evaluated the genetic structure of<jats:italic>Aedes aegypti<\/jats:italic>Linn, the vector of dengue, chikungunya, and Zika viruses, across different geo-climatic zones of India and also elucidated the impact of ecological and topographic factors. After data quality checks and removal of samples with excess null alleles, the final analysis was performed on 589 individual samples using 10 microsatellite markers. Overall findings of this study suggested that,<jats:italic>Ae<\/jats:italic>.<jats:italic>aegypti<\/jats:italic>populations are highly diverse with moderate genetic differentiation between them. Around half of the populations (13 out of 22) formed two genetic clusters roughly associated with geographical regions. The remaining nine populations shared genetic ancestries with either one or both of the clusters. A significant relationship between genetic and geographic distance was observed, indicating isolation by distance. However, spatial autocorrelation analysis predicted the signs of long-distance admixture. Post-hoc environmental association analysis showed that 52.7% of genetic variations were explained by a combination of climatic and topographic factors, with latitude and temperature being the best predictors. This study indicated that though overall genetic differentiation among<jats:italic>Ae<\/jats:italic>.<jats:italic>aegypti<\/jats:italic>populations across India is moderate (<jats:italic>F<\/jats:italic><jats:sub><jats:italic>st<\/jats:italic><\/jats:sub>= 0.099), the differences between the populations are developing due to the factors associated with geographic locations. This study improves the understanding of the<jats:italic>Ae<\/jats:italic>.<jats:italic>aegypti<\/jats:italic>population structure in India that may assist in predicting mosquito movements across the geo-climatic zones, enabling effective control strategies and assessing the risk of disease transmission.<\/jats:p>","DOI":"10.1371\/journal.pntd.0011486","type":"journal-article","created":{"date-parts":[[2023,7,27]],"date-time":"2023-07-27T17:55:38Z","timestamp":1690480538000},"page":"e0011486","update-policy":"https:\/\/doi.org\/10.1371\/journal.pntd.corrections_policy","source":"Crossref","is-referenced-by-count":22,"title":["Genetic differentiation among Aedes aegypti populations from different eco-geographical zones of India"],"prefix":"10.1371","volume":"17","author":[{"given":"Melveettil 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