Sergio Melgar, Salvador Castellanos, Lori Stevens, María Carlota Monroy, Patricia L Dorn
{"title":"Genetic diversity of the Chagas vector Triatoma dimidiata s.l. (Hemiptera: Reduviidae) across geographic scales in a top-priority area for control.","authors":"Sergio Melgar, Salvador Castellanos, Lori Stevens, María Carlota Monroy, Patricia L Dorn","doi":"10.1093/jme/tjae066","DOIUrl":null,"url":null,"abstract":"<p><p>Population genetic structure of arthropod disease vectors provides important information on vector movement and climate or other environmental variables that influence their distribution. This information is critical for data-driven vector control. In the first comprehensive study of the genetic structure of T. dimidiata s.l. (Latreille, 1811) we focus on an area of active transmission designated as a top priority for control. We examined a high number of specimens across a broad geographic area along the border of Guatemala and El Salvador including multiple spatial scales using a high number of genome-wide markers. Measuring admixture, pairwise genetic differentiation, and relatedness, we estimated the specimens represented three genetic clusters. We found evidence of movement (migration/gene flow) across all spatial scales with more admixture among locations in El Salvador than in Guatemala. Although there was significant isolation by distance, the 2 close villages in Guatemala showed either the most or least genetic variation indicating an additional role of environmental variables. Further, we found that social factors may be influencing the genetic structure. We demonstrated the power of genomic studies with a large number of specimens across a broad geographic area. The results suggest that for effective vector control movement must be considered on multiple spatial scales along with its contributing factors.</p>","PeriodicalId":94091,"journal":{"name":"Journal of medical entomology","volume":" ","pages":"1309-1321"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of medical entomology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jme/tjae066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Population genetic structure of arthropod disease vectors provides important information on vector movement and climate or other environmental variables that influence their distribution. This information is critical for data-driven vector control. In the first comprehensive study of the genetic structure of T. dimidiata s.l. (Latreille, 1811) we focus on an area of active transmission designated as a top priority for control. We examined a high number of specimens across a broad geographic area along the border of Guatemala and El Salvador including multiple spatial scales using a high number of genome-wide markers. Measuring admixture, pairwise genetic differentiation, and relatedness, we estimated the specimens represented three genetic clusters. We found evidence of movement (migration/gene flow) across all spatial scales with more admixture among locations in El Salvador than in Guatemala. Although there was significant isolation by distance, the 2 close villages in Guatemala showed either the most or least genetic variation indicating an additional role of environmental variables. Further, we found that social factors may be influencing the genetic structure. We demonstrated the power of genomic studies with a large number of specimens across a broad geographic area. The results suggest that for effective vector control movement must be considered on multiple spatial scales along with its contributing factors.
节肢动物疾病病媒的种群遗传结构提供了关于病媒移动和影响其分布的气候或其他环境变量的重要信息。这些信息对于数据驱动的病媒控制至关重要。在对 T. dimidiata s.l.(Latreille,1811 年)的遗传结构进行的首次全面研究中,我们重点研究了一个被指定为最优先控制对象的活跃传播地区。我们使用大量全基因组标记对危地马拉和萨尔瓦多边境广阔地域的大量标本进行了研究,包括多种空间尺度。通过测量混杂度、成对遗传分化和亲缘关系,我们估计这些标本代表了三个遗传集群。我们在所有空间尺度上都发现了移动(迁移/基因流)的证据,萨尔瓦多各地点之间的混杂程度高于危地马拉。虽然存在明显的距离隔离,但危地马拉两个相近村庄的遗传变异要么最大,要么最小,这表明环境变量也起了作用。此外,我们还发现社会因素可能会影响遗传结构。我们利用广泛地理区域的大量标本证明了基因组研究的威力。研究结果表明,为了有效控制病媒,必须在多个空间尺度上考虑病媒的移动及其诱因。