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


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.

SUBMITTER: Perez de Rosas AR 

PROVIDER: S-EPMC5361542 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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

Pérez de Rosas Alicia R AR   Restelli María F MF   Fernández Cintia J CJ   Blariza María J MJ   García Beatriz A BA  

The American journal of tropical medicine and hygiene 20170301 3


Here we apply inter-simple sequence repeat (ISSR) markers to explore the fine-scale genetic structure and dispersal in populations of <i>Triatoma infestans</i>. 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  ...[more]

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