Evidence map›Paper›PMID 38500121›Full record

ArticleParasites & vectors2024

Relationship between genetic diversity and morpho-functional characteristics of flight-related traits in Triatoma garciabesi (Hemiptera: Reduviidae).

Thaiane Verly, Sebastián Pita, Ana Laura Carbajal-de-la-Fuente, Gabriela Burgueño-Rodríguez, Romina V Piccinali, Federico G Fiad, Néstor Ríos, Francisco Panzera, Patricia Lobbia, Paz Sánchez-Casaccia and 5 more

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. The Body of Chagas Disease Vectors.Pathogens (Basel, Switzerland) · 2025
    Review
  4. Bug off or bug out: mapping flight secrets ofFrontiers in insect science · 2025
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 3 countries.

Thaiane VerlyCentro Nacional de Diagnóstico e Investigación en Endemo-Epidemias (CeNDIE), Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos Malbrán" (ANLIS), Buenos Aires, Argentina.
Sebastián PitaSección Genética Evolutiva, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay. spita@fcien.edu.uy.
Ana Laura Carbajal-de-la-FuenteCentro Nacional de Diagnóstico e Investigación en Endemo-Epidemias (CeNDIE), Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos Malbrán" (ANLIS), Buenos Aires, Argentina.
Gabriela Burgueño-RodríguezSección Genética Evolutiva, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
Romina V PiccinaliDepartamento de Ecología Genética y Evolución, Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Federico G FiadCátedras de Introducción a la Biología y Morfología Animal, 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, Córdoba, Argentina.
Néstor RíosSección Genética Evolutiva, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
Francisco PanzeraSección Genética Evolutiva, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
Patricia LobbiaUnidad Operativa de Vectores y Ambiente (UnOVE), Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos Malbrán", Centro Nacional de Diagnostico e Investigación en Endemo-Epidemias (CeNDIE), Córdoba, Argentina.
Paz Sánchez-CasacciaCentro Nacional de Diagnóstico e Investigación en Endemo-Epidemias (CeNDIE), Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos Malbrán" (ANLIS), Buenos Aires, Argentina.
Antonieta Rojas de AriasCentro para el Desarrollo de la Investigación Científica (CEDIC), Asunción, Paraguay.
María José CavalloCentro Regional de Energía y Ambiente Para el Desarrollo Sustentable (CREAS-CONICET), Universidad Nacional de Catamarca (UNCA), San Fernando del Valle de Catamarca, Catamarca, Argentina.
Gisel V GigenaCátedras de Introducción a la Biología y Morfología Animal, 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, Córdoba, Argentina.
Claudia S RodríguezCátedras de Introducción a la Biología y Morfología Animal, 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, Córdoba, Argentina.
Julieta NatteroDepartamento de Ecología Genética y Evolución, Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina. julietanattero@ege.fcen.uba.ar.
Consejo Nacional de Investigaciones Científicas y Técnicas · ARUniversidad de la República · UYAdministración Nacional de Laboratorios e Institutos de Salud · ARFundación Ciencias Exactas y Naturales · ARNational University of Catamarca · ARParaguayan Center for Population Studies · PYUniversidad Nacional de Córdoba · AR

Funding

Agencia Nacional de Promoción Científica y Tecnológica, Argentina PICT 2019-1884Comisión Sectorial de Investigación Científica CSIC-Udelar, project grant no. 160Consejo Nacional de Investigaciones Científicas y Técnicas PIP N°1220200102527COPrograma de Desarrollo de las Ciencias Básicas PEDECIBA
6 · The paper itself

Abstract

backgroundTriatoma garciabesi, a potential vector of the parasitic protozoan Trypanosoma cruzi, which is the causative agent of Chagas disease, is common in peridomestic and wild environments and found throughout northwestern and central Argentina, western Paraguay and the Bolivian Chaco. Genetic differentiation of a species across its range can help to understand dispersal patterns and connectivity between habitats. Dispersal by flight is considered to be the main active dispersal strategy used by triatomines. In particular, the morphological structure of the hemelytra is associated with their function. The aim of this study was to understand how genetic diversity is structured, how morphological variation of dispersal-related traits varies with genetic diversity and how the morphological characteristics of dispersal-related traits may explain the current distribution of genetic lineages in this species.

methodsMales from 24 populations of T. garciabesi across its distribution range were examined. The cytochrome c oxidase I gene (coI) was used for genetic diversity analyses. A geometric morphometric method based on landmarks was used for morpho-functional analysis of the hemelytra. Centroid size (CS) and shape of the forewing, and contour of both parts of the forewing, the head and the pronotum were characterised. Length and area of the forewing were measured to estimate the aspect ratio.

resultsThe morphometric and phylogenetic analysis identified two distinct lineages, namely the Eastern and Western lineages, which coincide with different ecological regions. The Eastern lineage is found exclusively in the eastern region of Argentina (Chaco and Formosa provinces), whereas the Western lineage is prevalent in the rest of the geographical range of the species. CS, shape and aspect ratio of the hemelytra differed between lineages. The stiff portion of the forewing was more developed in the Eastern lineage. The shape of both portions of the hemelytra were significantly different between lineages, and the shape of the head and pronotum differed between lineages.

conclusionsThe results provide preliminary insights into the evolution and diversification of T. garciabesi. Variation in the forewing, pronotum and head is congruent with genetic divergence. Consistent with genetic divergence, morphometry variation was clustered according to lineages, with congruent variation in the size and shape of the forewing, pronotum and head.

Indexed as

Chagas DiseaseTriatomaAnimalsGenetic VariationInsect VectorsMalePhylogenyCytochrome c oxidase I geneGeometric morphometryHeadHemelytraPronotumSize and shape variation

Identifiers

PMID38500121
PMCPMC10949591
OpenAlexW4392928129

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.