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      Rhodnius (Stål, 1859) (Hemiptera, Triatominae) genus in Bolivian Amazonia: a risk for human populations?

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          Abstract

          Background

          Chagas disease, one of the most important neglected tropical diseases in the countries of Latin America, is considered to be a particularly important public health concern in the Amazon region due to increases in the number of outbreaks of acute Chagas disease and increased local transmission in the last 20 years. However, relative to other countries, in Bolivia there is little information available on its transmission in the Amazon region. The aim of this study was to investigate the infestation of palm trees, the main habitat of Triatominae in the region, in several localities, to evaluate the danger they represent to inhabitants.

          Methods

          Triatominae were collected using live bait traps left overnight in six localities in Pando and Beni Departments, Bolivia. DNA extraction and sequencing were used to establish the Triatominae species ( Cytb, 16S and 28S-D2 gene fragments), and the blood meal sources ( Cytb fragment). Trypanosoma sp. infection was analyzed by sequencing gene fragments ( GPX, GPI, HMCOAR, LAP, PDH and COII) or by mini-exon multiplex PCR.

          Results

          A total of 325 Rhodnius were captured (97.3% of nymphs) from the 1200 traps placed in 238 palm trees and 32 burrows/ground holes. Sequence analyses on DNA extracted from 114 insects and phylogeny analysis identified two triatomine species: Rhodnius stali (17%) and Rhodnius montenegrensis (equated to Rhodnius robustus II, 83%). These were found in palm trees of the genera Attalea (69%), Astrocaryum (13%), Copernicia (12%), Euterpe (2%) and Acrocomia (1%). The infection rate was around 30% (165 analyzed insects), with 90% of analyzed insects infected by Trypanosoma cruzi (only the TcI discrete typing unit was detected), 3% infected by Trypanosoma rangeli (first time found in Bolivian Triatominae) and 7% infected by mixed T. cruzi ( TcI)- T. rangeli. Rhodnius specimens fed on Didelphidae, rodents, gecko and humans.

          Conclusions

          The results of this study highlight the epidemiological importance of Rhodnius in the Bolivian Amazon region. The huge geographical distribution of Rhodnius and their proximity to the human dwellings, high infection rate and frequent meals on the human population highlight a risk of transmission of Chagas disease in the region.

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          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13071-022-05423-3.

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          Most cited references66

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          IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

          Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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            ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

            Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection method that greatly improves the accuracy of phylogenetic estimates. The improvement is achieved by incorporating a model of rate-heterogeneity across sites not previously considered in this context, and by allowing concurrent searches of model-space and tree-space.
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              MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

              We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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                Author and article information

                Contributors
                stephanie.depickere@gmail.com
                agvillacis@puce.edu.ec
                solsg.25@gmail.com
                jorgia76@gmail.com
                frederique.breniere@ird.fr
                susanarevollo@hotmail.com
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central (London )
                1756-3305
                29 August 2022
                29 August 2022
                2022
                : 15
                : 307
                Affiliations
                [1 ]GRID grid.10421.36, ISNI 0000 0001 1955 7325, Instituto de Investigaciones Físicas, , Universidad Mayor de San Andrés, ; La Paz, Bolivia
                [2 ]GRID grid.412527.7, ISNI 0000 0001 1941 7306, Centro de Investigación para la Salud en América Latina (CISeAL), Escuela de Ciencias Biológicas, Facultad de Ciencias Exactas y Naturales, , Pontificia Universidad Católica del Ecuador, ; Quito, Ecuador
                [3 ]GRID grid.10421.36, ISNI 0000 0001 1955 7325, Laboratorio de Genética Molecular (SELADIS), Facultad Ciencias Farmacéuticas y Bioquímicas, , Universidad Mayor de San Andrés, ; La Paz, Bolivia
                [4 ]GRID grid.121334.6, ISNI 0000 0001 2097 0141, Institut de Recherche pour le Développement (IRD), UMR INTERTRYP IRD-CIRAD, , University of Montpellier, ; Montpellier, France
                Author information
                http://orcid.org/0000-0002-6734-1155
                http://orcid.org/0000-0003-4537-3532
                http://orcid.org/0000-0003-4385-3989
                Article
                5423
                10.1186/s13071-022-05423-3
                9426019
                36038947
                1ec1901c-d302-4f48-b595-41e56833402f
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 18 April 2022
                : 15 July 2022
                Funding
                Funded by: Universidad Mayor de San Andrés
                Funded by: IRD
                Funded by: COSUDE cooperation
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Parasitology
                chagas,triatominae,rhodnius stali,rhodnius montenegrensis,trypanosoma cruzi,dtus,blood meal origin,bolivia,amazonia,geographic distribution

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