196 research outputs found

    Volatile compound diversity and conserved alarm behaviour in Triatoma dimidiata

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    Background: Triatoma dimidiata (Latreille) is a key vector complex of Trypanosoma cruzi, etiologic agent of Chagas disease, as it spans North, Central, and South America. Although morphological and genetic studies clearly indicate existence of at least five clades within the species, there has been no robust or systematic revision, or appropriate nomenclature change for species within the complex. Three of the clades (haplogroups) are distributed in Mexico, and recent evidence attests to dispersal of clades across previously "presumed"monotypic geographic regions. Evidence of niche conservatism among sister species of this complex suggests that geographic dispersal is possible for non-sympatric populations, although no information is available on the behavioural aspects of potential interclade interactions, for instance whether differentiation of chemical signaling or response to these signals could impede communication among the haplogroups. Methods: Volatiles emitted by disturbed bugs, Brindley's (BGs), and metasternal (MGs) glands were identified using solid-phase micro-extraction (SPME) and gas chromatography coupled mass spectrometry (GC-MS). Volatile compounds emitted by BGs and MGs, and those secreted by disturbed nymphs and adults, of the three Mexican T. dimidiata haplogroups were tested for avoidance behaviour by conspecific nymphs and adults using an olfactometer. Results: Triatoma dimidiata haplogroups all have three age-related alarm responses: absence of response by early stage nymphs, stage-specific response by 4-5th stage nymphs, and a shared 4-5th nymph and adult response to adult compounds. Disturbed bugs released 15 to 24 compounds depending on the haplogroup, among which were three pyrazines, the first report of these organoleptics in Triatominae. Isobutyric acid from BGs was the most abundant molecule in the response in all haplogroups, in addition to 15 (h1) to 21 (h2 and h3) MG compounds. Avoidance behaviour of disturbed bugs and volatiles emitted by BGs were haplogroup specific, while those from the MG were not. Conclusions: Discriminant and cluster analysis of BG +MG compounds indicate significant separation among the three haplogroups, while alarm response compounds were similar between h2 and h3, both distinct from h1. This latter haplogroup is ancestral phylogenetically to the other two. Our results suggest that alarm responses are a conserved behaviour in the Triatoma dimidiata complex.Fil: May Concha, Irving Jesus. Provincia de Entre Ríos. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción. Universidad Autónoma de Entre Ríos. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción; Argentina. Instituto Nacional de Salud Pública; MéxicoFil: Rojas, Julio C.. El Colegio de la Frontera Sur; MéxicoFil: Cruz López, Leopoldo. El Colegio de la Frontera Sur; MéxicoFil: Ibarra-Cerdeña, Carlos N.. Instituto Politécnico Nacional. Centro de Investigación y de Estudios Avanzados; MéxicoFil: Ramsey, Janine. Instituto Nacional de Salud Pública; Méxic

    Response to Stephens et al. (2019)

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    Rebuttal to Stephens et al. (2019), as part of a debate format

    Response to Stephens et al. (2019)

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    Rebuttal to Stephens et al. (2019), as part of a debate format

    Co-occurrence Networks do not Support Identification of Biotic Interactions

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    This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.We assess a body of work that has attempted to use co-occurrence networks to infer the existence and type of biotic interactions between species. Although we see considerable interest in the approach as an exploratory tool for understanding patterns of co-occurrence of species, we note and describe numerous problems in the step of inferring biotic interactions from the co-occurrence patterns. These problems are both theoretical and empirical in nature, and limit confidence in inferences about interactions rather severely. We examine a series of examples that demonstrates striking discords between interactions inferred from co-occurrence patterns and previous experimental results and known life-history details

    Ecologic niche modeling and potential reservoirs for Chagas disease, Mexico

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    Centers for Disease Control and Prevention http://www.cdc.gov/ncidod/EID/vol8no7/01-0454.htmEcologic niche modeling may improve our understanding of epidemiologically relevant vector and parasitereservoir distributions. We used this tool to identify host relationships of Triatoma species implicated in transmission of Chagas disease. Associations have been documented between the protracta complex (Triatoma: Triatominae: Reduviidae) with packrat species (Neotoma spp.), providing an excellent case study for the broader challenge of developing hypotheses of association. Species pairs that were identified coincided exactly with those in previous studies, suggesting that local interactions between Triatoma and Neotoma species and subspecies have implications at a geographic level. Nothing is known about sylvatic associates of T. barberi, which are considered the primary Chagas vector in Mexico; its geographic distribution coincided closely with that of N. mexicana, suggesting interaction. The presence of this species was confirmed in two regions where it had been predicted but not previously collected. This approach may help in identifying Chagas disease risk areas, planning vector-control strategies, and exploring parasite-reservoir associations for other emerging diseases

    Dengue en las Américas : desafíos para su prevención y control

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    This paper discusses the challenges for prevention and control of dengue in the Americas as a major sanitary health problem. Cultural and practical issues related to water management at the domestic, community and urban levels are crucial to understanding risk assessment, and hence the development of effective control strategies. Altering behavior requires mobilizing social networks and organizations, as well as implementing firm public policies. Preventive practices for dengue control also need to be supported by efficient urban infrastructure. Global climate change has created concern about the emergence of dengue in more temperate areas.El dengue es la enfermedad transmitida por vector más importante en las Américas, que amenaza la vida de millones de personas. Las cifras subestiman la magnitud del problema y el dengue no figura como prioridad para las autoridades en salud y no se identifica como problema (baja percepción de riesgo), por lo que las medidas para el control se realizan tardíamente. El dengue se considera un problema de "otros" (individuo, colectividad, institucional) y la responsabilidad del control se desvía hacia otros (vecindario, comunidad, municipio, el Ministerio de Salud, etc.). Se carece de indicadores de riesgo precisos, por lo que no hay oportunidad para acciones de diagnóstico, tratamiento, prevención y control vectorial. Con intervenciones poco efectivas no hay control sostenible y sin compromiso político no hay recursos suficientes para enfrentar este problema sanitario. Este artículo aborda los desafíos para la prevención y el control del dengue en las Américas

    Deep Learning Algorithms Improve Automated Identification of Chagas Disease Vectors

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    This is a pre-copyedited, author-produced version of an article accepted for publication in Journal of Medical Entomology following peer review. The version of record is available online at: https;//doi.org/https://doi.org/10.1093/jme/tjz065Vector-borne Chagas disease is endemic to the Americas and imposes significant economic and social burdens on public health. In a previous contribution, we presented an automated identification system that was able to discriminate among 12 Mexican and 39 Brazilian triatomine (Hemiptera: Reduviidae) species from digital images. To explore the same data more deeply using machine-learning approaches, hoping for improvements in classification, we employed TensorFlow, an open-source software platform for a deep learning algorithm. We trained the algorithm based on 405 images for Mexican triatomine species and 1,584 images for Brazilian triatomine species. Our system achieved 83.0 and 86.7% correct identification rates across all Mexican and Brazilian species, respectively, an improvement over comparable rates from statistical classifiers (80.3 and 83.9%, respectively). Incorporating distributional information to reduce numbers of species in analyses improved identification rates to 95.8% for Mexican species and 98.9% for Brazilian species. Given the ‘taxonomic impediment’ and difficulties in providing entomological expertise necessary to control such diseases, automating the identification process offers a potential partial solution to crucial challenges

    Chagas Disease and the London Declaration on Neglected Tropical Diseases

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    Fil: Tarleton, Rick L.. University of Georgia; Estados Unidos. Chagas Disease Foundation; Estados UnidosFil: Gurtler, Ricardo Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; ArgentinaFil: Urbina, Julio A.. Instituto Venezolano de Investigaciones Científicas; VenezuelaFil: Ramsey, Janine. Instituto Nacional de Salud Pública; MéxicoFil: Viotti, Rodolfo Jorge. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos "Eva Perón"; Argentin

    Phylogeny and Niche Conservatism in North and Central American Triatomine Bugs (Hemiptera: Reduviidae: Triatominae), Vectors of Chagas' Disease

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    The niche conservatism hypothesis states that related species diverge in niche characteristics at lower rates than expected, given their lineage divergence. Here we analyze whether niche conservatism is a common pattern among vector species (Hemiptera: Reduviidae: Triatominae) of Trypanosoma cruzi that inhabit North and Central America, a highly heterogeneous landmass in terms of environmental gradients. Mitochondrial and nuclear loci were used in a multi-locus phylogenetic framework to reconstruct phylogenetic relationships among species and estimate time of divergence of selected clades to draw biogeographic inferences. Then, we estimated similarity between the ecological niche of sister species and tested the niche conservatism hypothesis using our best estimate of phylogeny. Triatoma is not monophyletic. A primary clade with all North and Central American (NCA) triatomine species from the genera Triatoma, Dipetalogaster, and Panstrongylus, was consistently recovered. Nearctic species within the NCA clade (T. p. protracta, T. r. rubida) diverged during the Pliocene, whereas the Neotropical species (T. phyllosoma, T. longipennis, T. dimidiata complex) are estimated to have diverged more recently, during the Pleistocene. The hypothesis of niche conservatism could not be rejected for any of six sister species pairs. Niche similarity between sister species best fits a retention model. While this framework is used here to infer niche evolution, it has a direct impact on spatial vector dynamics driven by human population movements, expansion of transportation networks and climate change scenarios.CNIC was funded with a graduate scholarship from CONACYT (Consejo Nacional de Ciencia y Tecnologia) for his PhD studies in the Biomedical Sciences Program of the UNAM (Universidad Nacional Autonoma de Mexico), fulfilled in part by this study. Studies on vector bionomics and ecology were funded by CONACYT Fomix Morelos MOR-2004-C02-012 and CONACYT FONSEC 69997 and 161405 to JMR. This work was partially supported by DGAPA-UNAM (PAPIIT 487 IN225408, IN202711) and the CONACYT-CB-2009/132811 to VSC, and PAPIIT 2013488 and CONACYT-511 to AZR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript
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