Hotez, P. J. et al. An unfolding tragedy of chagas disease in North America. PLoS Negl. Trop. Dis. 7(10), e2300. https://doi.org/10.1371/journal.pntd.0002300 (2013) (PMID: 24205411).
Google Scholar
Hotez, P. J., Bottazzi, M. E., Franco-Paredes, C., Ault, S. K. & Periago, M. R. The neglected tropical diseases of Latin America and the Caribbean: A review of disease burden and distribution and a roadmap for control and elimination. PLoS Negl. Trop. Dis. 2(9), e300. https://doi.org/10.1371/journal.pntd.0000300 (2008) (PMID: 18820747).
Google Scholar
Lee, B. Y., Bacon, K. M., Bottazzi, M. E. & Hotez, P. J. Global economic burden of Chagas disease: A computational simulation model. Lancet Infect. Dis. 13(4), 342–348. https://doi.org/10.1016/S1473-3099(13)70002-1 (2013) (PMID: 23395248).
Google Scholar
WHO. Chagas disease in Latin America: An epidemiological update based on 2010 estimates. Wkly. Epidemiol. Rec. 90(6), 33–43 (2015) (PMID: 25671846).
Pena-Garcia, V. H., Gomez-Palacio, A. M., Triana-Chavez, O. & Mejia-Jaramillo, A. M. Eco-epidemiology of Chagas disease in an endemic area of Colombia: Risk factor estimation, Trypanosoma cruzi characterization and identification of blood-meal sources in bugs. Am. J. Trop. Med. Hyg. 91(6), 1116–1124. https://doi.org/10.4269/ajtmh.14-0112 (2014) (PMID: 25331808).
Google Scholar
Mejia-Jaramillo, A. M. et al. Genotyping of Trypanosoma cruzi in a hyper-endemic area of Colombia reveals an overlap among domestic and sylvatic cycles of Chagas disease. Parasit. Vectors. 7, 108. https://doi.org/10.1186/1756-3305-7-108 (2014) (PMID: 24656115).
Google Scholar
Dib, J. C., Agudelo, L. A. & Velez, I. D. Prevalencia de patologías tropicales y factores de riesgo en la comunidad indígena de Bunkwimake, Sierra Nevada de Santa Marta. DUAZARY. 3(1), 38–44 (2006).
Parra-Henao, G. et al. In search of congenital Chagas disease in the Sierra Nevada de Santa Marta, Colombia. Am. J. Trop. Med. Hyg. 101(3), 482–483. https://doi.org/10.4269/ajtmh.19-0110 (2019) (PMID: 31264558).
Google Scholar
Guhl, F., Aguilera, G., Pinto, N. & Vergara, D. Actualización de la distribución geográfica y ecoepidemiología de la fauna de triatominos (Reduviidae: Triatominae) en Colombia. Biomedica. 27(Suppl 1), 143–162 (2007) (PMID: 18154255).
Google Scholar
Parra-Henao, G., Suarez-Escudero, L. C. & Gonzalez-Caro, S. Potential distribution of Chagas disease vectors (Hemiptera, Reduviidae, Triatominae) in Colombia, based on Ecological Niche Modeling. J. Trop. Med. 2016, 1439090. https://doi.org/10.1155/2016/1439090 (2016) (PMID: 28115946).
Google Scholar
Rodriguez-Mongui, E., Cantillo-Barraza, O., Prieto-Alvarado, F. E. & Cucunuba, Z. M. Heterogeneity of Trypanosoma cruzi infection rates in vectors and animal reservoirs in Colombia: A systematic review and meta-analysis. Parasit. Vectors. 12(1), 308. https://doi.org/10.1186/s13071-019-3541-5 (2019) (PMID: 31221188).
Google Scholar
Dib, J., Barnabe, C., Tibayrenc, M. & Triana, O. Incrimination of Eratyrus cuspidatus (Stal) in the transmission of Chagas’ disease by molecular epidemiology analysis of Trypanosoma cruzi isolates from a geographically restricted area in the north of Colombia. Acta Trop. 111(3), 237–242. https://doi.org/10.1016/j.actatropica.2009.05.004 (2009) (PMID: 19442641).
Google Scholar
Parra Henao, G., Angulo, V., Jaramillo, N. & Restrepo, M. Triatominos (Hemiptera: Reduviidae) de ka Sierra Nevada de Santa Marta, Colombia. Aspectos epidemiológicos, entomológicos y de distribución. Rev. CES Med. 23(1), 17–26 (2009).
Hernandez, C. et al. Untangling the transmission dynamics of primary and secondary vectors of Trypanosoma cruzi in Colombia: Parasite infection, feeding sources and discrete typing units. Parasit. Vectors. 9(1), 620. https://doi.org/10.1186/s13071-016-1907-5 (2016) (PMID: 27903288).
Google Scholar
Cantillo-Barraza, O., Chaverra, D., Marcet, P., Arboleda-Sanchez, S. & Triana-Chavez, O. Trypanosoma cruzi transmission in a Colombian Caribbean region suggests that secondary vectors play an important epidemiological role. Parasit. Vectors. 7, 381. https://doi.org/10.1186/1756-3305-7-381 (2014) (PMID: 25141852).
Google Scholar
Weiss, B. & Aksoy, S. Microbiome influences on insect host vector competence. Trends Parasitol. 27(11), 514–522. https://doi.org/10.1016/j.pt.2011.05.001 (2011) (PMID: 21697014).
Google Scholar
Azambuja, P., Garcia, E. S. & Ratcliffe, N. A. Gut microbiota and parasite transmission by insect vectors. Trends Parasitol. 21(12), 568–572 (2005) (PMID: 16226491).
Google Scholar
Dumonteil, E. et al. Interactions among Triatoma sanguisuga blood feeding sources, gut microbiota and Trypanosoma cruzi diversity in southern Louisiana. Mol Ecol. 29(19), 3747–3761 (2020).
Google Scholar
Zingales, B. et al. A new consensus for Trypanosoma cruzi intraspecific nomenclature: Second revision meeting recommends TcI to TcVI. Mem. Inst. Oswaldo Cruz. 104(7), 1051–1054 (2009) (PMID: 20027478).
Google Scholar
Zingales, B. et al. The revised Trypanosoma cruzi subspecific nomenclature: Rationale, epidemiological relevance and research applications. Infect. Genet. Evol. 12(2), 240–253. https://doi.org/10.1016/j.meegid.2011.12.009 (2012) (PMID: 22226704).
Google Scholar
Tibayrenc, M. & Ayala, F. J. The population genetics of Trypanosoma cruzi revisited in the light of the predominant clonal evolution model. Acta Trop. 151, 156–165. https://doi.org/10.1016/j.actatropica.2015.05.006 (2015) (PMID: 26188332).
Google Scholar
Majeau, A., Murphy, L., Herrera, C. & Dumonteil, E. Assessing Trypanosoma cruzi parasite diversity through comparative genomics: Implications for disease epidemiology and diagnostics. Pathogens. 10, 212. https://doi.org/10.3390/pathogens10020212 (2021).
Google Scholar
Flores-Ferrer, A., Marcou, O., Waleckx, E., Dumonteil, E. & Gourbière, S. Evolutionary ecology of Chagas disease; what do we know and what do we need?. Evol. Appl. 11(4), 470–487. https://doi.org/10.1111/eva.12582 (2017).
Google Scholar
Tibayrenc, M., Kjellberg, F. & Ayala, F. J. A clonal theory of parasitic protozoa: The population structures of Entamoeba, Giardia, Leishmania, Naegleria, Plasmodium, Trichomonas, and Trypanosoma and their medical and taxonomical consequences. Proc. Natl. Acad. Sci. USA 87, 2414–2418 (1990).
Google Scholar
Berry, A. S. F. et al. Sexual reproduction in a natural Trypanosoma cruzi population. PLoS Negl. Trop. Dis. 13(5), e0007392. https://doi.org/10.1371/journal.pntd.0007392 (2019) (PMID: 31107905).
Google Scholar
Schwabl, P. et al. Meiotic sex in Chagas disease parasite Trypanosoma cruzi. Nat. Commun. 10(1), 3972. https://doi.org/10.1038/s41467-019-11771-z (2019) (PMID: 31481692).
Google Scholar
Falla, A. et al. Haplotype identification within Trypanosoma cruzi I in Colombian isolates from several reservoirs, vectors and humans. Acta Trop. 110(1), 15–21 (2009) (PMID: 19135020).
Google Scholar
Cura, C. I. et al. Trypanosoma cruzi I genotypes in different geographical regions and transmission cycles based on a microsatellite motif of the intergenic spacer of spliced-leader genes. Int. J. Parasitol. 40(14), 1599–1607. https://doi.org/10.1016/j.ijpara.2010.06.006 (2010) (PMID: 20670628).
Google Scholar
Rodriguez, I. B. et al. Transmission dynamics of Trypanosoma cruzi determined by low-stringency single primer polymerase chain reaction and southern blot analyses in four indigenous communities of the Sierra Nevada de Santa Marta, Colombia. Am. J. Trop. Med. Hyg. 81(3), 396–403 (2009) (PMID: 19706903).
Google Scholar
Waleckx, E., Gourbière, S. & Dumonteil, E. Intrusive triatomines and the challenge of adapting vector control practices. Mem. Inst. Oswaldo Cruz. 110(3), 324–338 (2015).
Google Scholar
Dumonteil, E. et al. Detailed ecological associations of triatomines revealed by metabarcoding and next-generation sequencing: Implications for triatomine behavior and Trypanosoma cruzi transmission cycles. Sci. Rep. 8(1), 4140. https://doi.org/10.1038/s41598-018-22455-x (2018) (PMID: 29515202).
Google Scholar
Dumonteil, E. et al. Interactions among Triatoma sanguisuga blood feeding sources, gut microbiota and Trypanosoma cruzi diversity in southern Louisiana. Mol. Ecol. https://doi.org/10.1111/mec.15582 (2020) (PMID: 32749727).
Google Scholar
O’Connor, O., Bosseno, M. F., Barnabe, C., Douzery, E. J. & Breniere, S. F. Genetic clustering of Trypanosoma cruzi I lineage evidenced by intergenic miniexon gene sequencing. Infect. Genet. Evol. 7(5), 587–593. https://doi.org/10.1016/j.meegid.2007.05.003 (2007) (PMID: 17553755).
Google Scholar
Villanueva-Lizama, L., Teh-Poot, C., Majeau, A., Herrera, C. & Dumonteil, E. Molecular genotyping of Trypanosoma cruzi by next-generation sequencing of the mini-exon gene reveals infections with multiple parasite DTUs in Chagasic patients from Yucatan, Mexico. J. Inf. Dis. 219(12), 1980–1988 (2019).
Google Scholar
Parra-Henao, G., Angulo, V. M., Osorio, L. & Jaramillo, O. N. Geographic distribution and ecology of Triatoma dimidiata (Hemiptera: Reduviidae) in Colombia. J. Med. Entomol. 53(1), 122–129. https://doi.org/10.1093/jme/tjv163 (2016) (PMID: 26487247).
Google Scholar
Angulo, V. M., Esteban, L. & Luna, K. P. Attalea butyracea proximas a las viviendas como posible fuente de infestacion domiciliaria por Rhodnius prolixus (Hemiptera: Reduviidae) en los Llanos Orientales de Colombia. Biomedica. 32(2), 277–285. https://doi.org/10.1590/S0120-41572012000300016 (2012) (PMID: 23242302).
Google Scholar
Feliciangeli, M. D., Sanchez-Martin, M., Marrero, R., Davies, C. & Dujardin, J. P. Morphometric evidence for a possible role of Rhodnius prolixus from palm trees in house re-infestation in the State of Barinas (Venezuela). Acta Trop. 101(2), 169–177. https://doi.org/10.1016/j.actatropica.2006.12.010 (2007) (PMID: 17306204).
Google Scholar
Fitzpatrick, S., Feliciangeli, M. D., Sanchez-Martin, M. J., Monteiro, F. A. & Miles, M. A. Molecular genetics reveal that silvatic Rhodnius prolixus do colonise rural houses. PLoS Negl. Trop. Dis. 2(4), e210. https://doi.org/10.1371/journal.pntd.0000210 (2008) (PMID: 18382605).
Google Scholar
Lopez, G. & Moreno, J. Genetic variability and differentiation between populations of Rhodnius prolixus and R. pallescens, vectors of Chagas’ disease in Colombia. Mem. Inst. Oswaldo Cruz. 90, 353–357 (1995).
Google Scholar
Dumonteil, E. et al. Detailed ecological associations of triatomines revealed by metabarcoding based on next-generation sequencing: linking triatomine behavioral ecology and Trypanosoma cruzi transmission cycles. Sci. Rep. 8(1), 4140. https://doi.org/10.1038/s41598-018-22455-x (2018).
Google Scholar
Hernández-Andrade, A., Moo-Millan, J., Cigarroa-Toledo, N., Ramos-Ligonio, A., Herrera, C., Bucheton, B., et al. Metabarcoding: A powerful yet still underestimated approach for the comprehensive study of vector-borne pathogen transmission cycles and their dynamics. in Vector-Borne Diseases: Recent Developments in Epidemiology and Control (ed. Claborn, D.) 1–6. (Intechopen, 2020). https://doi.org/10.5772/intechopen.83110
Flores-Ferrer, A., Waleckx, E., Rascalou, G., Dumonteil, E. & Gourbière, S. Trypanosoma cruzi transmission dynamics in a synanthropic and domesticated host community. PLoS Negl. Trop. Dis. 13(12), e0007902. https://doi.org/10.1371/journal.pntd.0007902 (2019).
Google Scholar
Llewellyn, M. S. et al. Genome-scale multilocus microsatellite typing of Trypanosoma cruzi discrete typing unit I reveals phylogeographic structure and specific genotypes linked to human infection. PLoS Pathog. 5(5), e1000410. https://doi.org/10.1371/journal.ppat.1000410 (2009) (PMID: 19412340).
Google Scholar
Herrera, C. et al. Genetic variability and phylogenetic relationships within Trypanosoma cruzi I isolated in Colombia based on Miniexon Gene Sequences. J. Parasitol. Res. https://doi.org/10.1155/2009/897364 (2009) (PMID: 20798881).
Google Scholar
Zumaya-Estrada, F. A. et al. North American import? Charting the origins of an enigmatic Trypanosoma cruzi domestic genotype. Parasit. Vectors. 5, 226. https://doi.org/10.1186/1756-3305-5-226 (2012) (PMID: 23050833).
Google Scholar
Montoya-Porras, L. M., Omar, T. C., Alzate, J. F., Moreno-Herrera, C. X. & Cadavid-Restrepo, G. E. 16S rRNA gene amplicon sequencing reveals dominance of Actinobacteria in Rhodnius pallescens compared to Triatoma maculata midgut microbiota in natural populations of vector insects from Colombia. Acta Trop. 178, 327–332. https://doi.org/10.1016/j.actatropica.2017.11.004 (2018) (PMID: 29154947).
Google Scholar
Kieran, T. J. et al. Regional biogeography of microbiota composition in the Chagas disease vector Rhodnius pallescens. Parasit. Vectors. 12(1), 504. https://doi.org/10.1186/s13071-019-3761-8 (2019) (PMID: 31665056).
Google Scholar
Rodriguez-Ruano, S. M. et al. Microbiomes of North American Triatominae: The grounds for Chagas Disease epidemiology. Front. Microbiol. 9, 1167. https://doi.org/10.3389/fmicb.2018.01167 (2018) (PMID: 29951039).
Google Scholar
Eichler, S. & Schaub, G. A. Development of symbionts in triatomine bugs and the effects of infections with trypanosomatids. Exp. Parasitol. 100(1), 17–27 (2002).
Google Scholar
Waltmann, A. et al. Hindgut microbiota in laboratory-reared and wild Triatoma infestans. PLoS Negl. Trop. Dis. 13(5), e0007383. https://doi.org/10.1371/journal.pntd.0007383 (2019) (PMID: 31059501).
Google Scholar
Herren, J. K. et al. A microsporidian impairs Plasmodium falciparum transmission in Anopheles arabiensis mosquitoes. Nat. Commun. 11(1), 2187. https://doi.org/10.1038/s41467-020-16121-y (2020) (PMID: 32366903).
Google Scholar
Moreira, L. A. et al. A Wolbachia symbiont in Aedes aegypti limits infection with dengue, Chikungunya, and Plasmodium. Cell 139(7), 1268–1278. https://doi.org/10.1016/j.cell.2009.11.042 (2009) (PMID: 20064373).
Google Scholar
Angulo, V. M. & Esteban, L. Nueva trampa para la captura de triatominos en habitats silvestres y peridomesticos. Biomedica. 31(2), 264–268. https://doi.org/10.1590/S0120-41572011000200015 (2011) (PMID: 22159544).
Google Scholar
Lent, H. & Wygodzinsky, P. Revision of Triatominae (Hemiptera: Reduviidae), and their significance as vectors of Chagas’ disease. Bull. Am. Mus. Nat. His. 163, 123–520 (1979).
Monteiro, F. A. et al. Molecular phylogeography of the Amazonian Chagas disease vectors Rhodnius prolixus and R. robustus. Mol. Ecol. 12(4), 997–1006. https://doi.org/10.1046/j.1365-294x.2003.01802.x (2003) (PMID: 12753218).
Google Scholar
Baker, G. C., Smith, J. J. & Cowan, D. A. Review and reanalysis of domain-specific 16s primers. J. Microbiol. Meth. 55, 541–555 (2003).
Google Scholar
Heuer, H., Krsek, M., Baker, P., Smalla, K. & Wellington, E. M. Analysis of actinomycete communities by specific amplification of genes encoding 16S rRNA and gel-electrophoretic separation in denaturing gradients. Appl. Environ. Microbiol. 63(8), 3233–3241 (1997).
Google Scholar
Souto, R. P., Fernandes, O., Macedo, A. M., Campbell, D. A. & Zingales, B. DNA markers define two major phylogenetic lineages of Trypanosoma cruzi. Mol. Biochem. Parasitol. 83(2), 141–152 (1996) (PMID: 9027747).
Google Scholar
Majeau, A., Herrera, C. & Dumonteil, E. An improved approach to Trypanosoma cruzi molecular genotyping by next-generation sequencing of the mini-exon gene. Methods Mol. Biol. 1955, 47–60 (2019).
Google Scholar
Edgar, R. C., Haas, B. J., Clemente, J. C., Quince, C. & Knight, R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 27(16), 2194–2200. https://doi.org/10.1093/bioinformatics/btr381 (2011) (PMID: 21700674).
Google Scholar
Garrison E, Marth G. Haplotype-based variant detection from short-read sequencing. arXiv preprint. (arXiv:1207.3907 [q-bio.GN]), 1–9. https://arxiv.org/abs/1207.3907v2 (2012).
Dhariwal, A. et al. MicrobiomeAnalyst: A web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data. Nucleic Acids Res. 45(W1), W180–W188. https://doi.org/10.1093/nar/gkx295 (2017) (PMID: 28449106).
Google Scholar
Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2—Approximately maximum-likelihood trees for large alignments. PLoS ONE 5(3), e9490. https://doi.org/10.1371/journal.pone.0009490 (2010) (PMID: 20224823).
Google Scholar
Bouckaert, R. et al. BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis. PLoS Comput Biol. 15(4), e1006650. https://doi.org/10.1371/journal.pcbi.1006650 (2019) (PMID: 30958812).
Google Scholar
Torres-Silva, C. F. et al. Assessment of genetic mutation frequency induced by oxidative stress in Trypanosoma cruzi. Genet Mol Biol. 41(2), 466–474. https://doi.org/10.1590/1678-4685-GMB-2017-0281 (2018) (PMID: 30088612).
Google Scholar
Hammer, Ø., Harper, D. A. T. & Ryan, P. D. PAST: Paleontological statistics software package for education and data analysis. Palaeontol. Electron. 4(1), 9 (2001).
Cole, J. R. et al. Ribosomal Database Project: Data and tools for high throughput rRNA analysis. Nucleic Acids Res. 42(Database issue), D633–D642. https://doi.org/10.1093/nar/gkt1244 (2014) (PMID: 24288368).
Google Scholar
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