Application of Inter-Simple Sequence Repeat Markers in the Analysis of Populations of the Chagas Disease Vector Triatoma infestans (Hemiptera, Reduviidae)

Abstract

Abstract. Here we apply inter-simple sequence repeat (ISSR) markers to explore the fine-scale genetic structure and dispersal in populations of Triatoma infestans. Five selected primers from 30 primers were used to amplify ISSRs by polymerase chain reaction. A total of 90 polymorphic bands were detected across 134 individuals captured from 11 peridomestic sites from the locality of San Martín (Capayán Department, Catamarca Province, Argentina). Significant levels of genetic differentiation suggest limited gene flow among sampling sites. Spatial autocorrelation analysis confirms that dispersal occurs on the scale of ∼469 m, suggesting that insecticide spraying should be extended at least within a radius of ∼500 m around the infested area. Moreover, Bayesian clustering algorithms indicated genetic exchange among different sites analyzed, supporting the hypothesis of an important role of peridomestic structures in the process of reinfestation.

Spatio‐temporal genetic structure in populations of the Chagas’ disease vector Triatoma infestans from Argentina

“…These results confirm a high degree of subdivision in populations of T. infestans (Marcet et al, 2008;Perez de Rosas et al, 2007, 2017Pizarro et al, 2008). The levels of genetic differentiation detected among the sampling sites indicated significant deviation from a pattern of unrestricted gene flow, suggesting that the magnitude of gene flow is not sufficiently large to mask differences eventually produced by genetic drift.…”

“…Moreover, they are highly polymorphic and of easy application. A preliminary study using these genetic markers indicated that ISSRs are useful to explore the spatial genetic structure at fine scale and dispersal patterns in T. infestans populations (Pérez de Rosas et al, 2017). In the present work, we compare the fine‐scale spatial genetic structure in two temporal samples of T. infestans from an area without vector control for 31 months using ISSR markers.…”

Disentangling aNeotropicalpest species complex: genetic diversity and population structure of the native rice stink bugOebalus poecilusand the invasiveO. ypsilongriseus

“…In addition, ISSR markers combine the benefits of random amplified polymorphic DNA (RAPD) with reproducibility and specificity without requiring prior target sequence knowledge. 25 These traits led to the use of ISSR markers in several studies during the last decade attempting to characterize the genetic structure of species from different insect taxa, from Hemiptera, [26][27][28] to Lepidoptera, [29][30][31] Coleoptera, 32,33 Diptera, 34,35 and Hymenoptera. 36 Thus, suggesting its potential usefulness for rice stink bugs.…”

Genetic diversity in a restricted‐dispersal kissing bug: The centre–periphery hypothesis halfway

“…Most kissing bugs have epidemiological relevance, since they are vectors of the aetiological agent of Chagas disease, Trypanosoma cruzi (Correa et al, 2020). Studies have assessed the gene flow and population genetic structure of triatomines, but on a limited geographical scale and without addressing variation in genetic diversity in the geographical range of the species (Luna‐Marín et al, 2016; Pérez de Rosas et al, 2017; Pfeiler et al, 2006; Pizarro et al, 2008; Ramírez et al, 2005). For example, Luna‐Marín et al, (2016) studied the genetic relationships between seven populations of the vector Rhodnius prolixus in Colombia and Venezuela, finding a lack of genetic differentiation and low genetic diversity in the cyt‐ b gene.…”

“…Most kissing bugs have epidemiological relevance, since they are vectors of the aetiological agent of Chagas disease, Trypanosoma cruzi (Correa et al, 2020). Studies have assessed the gene flow and population genetic structure of triatomines, but on a limited geographical scale and without addressing variation in genetic diversity in the geographical range of the species (Luna-Marín et al, 2016;Pérez de Rosas et al, 2017;Pfeiler et al, 2006;Pizarro et al, 2008;Ramírez et al, 2005).…”