Phenotypic variability in traits related to flight dispersal in the wing dimorphic species Triatoma guasayana

Parasites & Vectors

Research

Ana Laura Carbajal-de-la-Fuente¹  Paz Sánchez Casaccia²  Luciana Abrahan³  Antonieta Rojas de Arias⁴  María Laura Hernández⁵  Patricia Lobbia⁵  Federico G. Fiad⁶  Gisel V. Gigena⁶  Claudia S. Rodríguez⁶  Marinely Bustamante Gomez⁷  Jorge Espinoza⁸  Romina V. Piccinali⁹  Julieta Nattero⁹  Florencia Cano^1,10 

[1] Centro Nacional de Diagnóstico e Investigación en Endemo-Epidemias (CeNDIE), Administración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos Malbrán” (ANLIS), Av. Paseo Colón 568, Buenos Aires, Argentina;Centro Nacional de Diagnóstico e Investigación en Endemo-Epidemias (CeNDIE), Administración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos Malbrán” (ANLIS), Av. Paseo Colón 568, Buenos Aires, Argentina;Centro para el Desarrollo de la Investigación Científica (CEDIC), Manduvirá 635 entre 15 de agosto y Oleary, Asunción, Paraguay;Centro Regional de Investigaciones Científicas y Transferencia Tecnológica de La Rioja (CRILAR), UNLAR, SEGEMAR, UNCa, CONICET, Entre Ríos y Mendoza S/N, Anillaco, 5301, La Rioja, Provincia de La Rioja, Argentina;Centro para el Desarrollo de la Investigación Científica (CEDIC), Manduvirá 635 entre 15 de agosto y Oleary, Asunción, Paraguay;Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina;Unidad Operativa de Vectores y Ambiente (UnOVE), Administración Nacional de Laboratorios e Institutos de Salud “Dr. Carlos Malbrán, Centro Nacional de Diagnóstico e Investigación en Endemo-Epidemias (CeNDIE), Santa María de Punilla, Córdoba, Argentina;Cátedras de Morfología Animal y de Introducción a la Biología, Instituto de Investigaciones Biológicas y Tecnológicas (IIByT), Facultad de Ciencias Exactas Físicas y Naturales, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)/Universidad Nacional de Córdoba, Av. Vélez Sársfield 299, X5000JJC, Córdoba, Argentina;Departamento de Apoyo y Asesoramiento a Proyectos, Universidad Privada del Valle, Campus Tiquipaya, Cochabamba, Bolivia;Departamento de Biología, Laboratorio de Entomología Médica, Universidad Mayor de San Simón, Cochabamba, Bolivia;Departamento de Ecología Genética y Evolución, Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, Pabellón 2, C1428EGA, Ciudad Autónoma de Buenos Aires, Argentina;Instituto de Ecología, Genética y Evolución (IEGEBA), Intendente Güiraldes, CONICET/Universidad de Buenos Aires, 2160, Ciudad Universitaria, Pabellón 2, C1428EGA, Ciudad Autónoma de Buenos Aires, Argentina;Programa de Control de Vectores, Ministerio de Salud Pública de San Juan, San Juan, Argentina;

关键词: Chagas disease;    Head;    Pronotum;    Wing;    Linear morphometrics;    Geometric morphometrics;    Wing dimorphism;   

DOI  :  10.1186/s13071-022-05570-7

 received in 2022-07-06, accepted in 2022-11-02,  发布年份 2022

来源: Springer

【 摘 要 】

BackgroundTriatoma guasayana is considered an emerging vector of Chagas disease in the Southern Cone of South America. The presence of a triatomine population with brachypterous individuals, in which both wings are reduced, has recently been reported for this species. The aim of the present study was to determine if flight-related traits varied across populations, if these traits could explain differences in flight capacity across populations and if flight-related traits are associated with geographic and/or climatic variation.MethodsThe study involved 66 male T. guasayana specimens from 10 triatomine populations. Digital images of wing, head and pronotum were used to estimate linear and geometric morphometric variables. Variations in size and shape were analysed using one-way analysis of variance and canonical variate analysis (CVA), respectively. Mantel tests were applied to analyse the relationship between morphometric and geographic distances, and the association between size measurements was analysed using Pearson’s correlation. We explored covariation between size and shape variables using partial least square analyses (PLS). The association of geographic and climatic variables with size measurements was tested using linear regression analyses. We performed PLS analyses for shape measurements.ResultsWing size differed significantly across triatomine populations. The CVA showed that wing shape of the brachypterous population is well discriminated from that of the other populations. The Mantel test showed a positive and significant association between wing shape and geographic distances. The heads of the brachypterous population were significantly larger than those of the other populations. Similar to wing shape, the head shape of the brachypterous population was well discriminated from those of the other populations. Pronotum width did not show significant differences across populations. Geographic and climatic factors were associated with size and shape of both the wing and head, but not with pronotum width.ConclusionsMost of the traits related to flight dispersal varied across populations. Wing shape and head shape were found to be better markers for differentiated morphological variation across populations. Head measurements also varied in accordance with this condition. Geographic and climatic variables were associated with most of the flight-related traits.Graphical Abstract

【 授权许可】

CC BY   
© The Author(s) 2022

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