| Literature DB >> 31878960 |
Gilmar Ribeiro1,2, Carlos G S Dos Santos1,3,4, Fernanda Lanza1, Jamylle Reis1, Fernanda Vaccarezza1, Camila Diniz1, Diego Lopes Paim Miranda1,5, Renato Freitas de Araújo3, Gabriel Muricy Cunha3, Cristiane Medeiros Moraes de Carvalho3, Eduardo Oyama Lins Fonseca6, Roberto Fonseca Dos Santos4, Orlando Marcos Farias de Sousa7, Renato Barbosa Reis8, Wildo Navegantes de Araújo9, Rodrigo Gurgel-Gonçalves10, Mitermayer G Dos Reis11,12,13.
Abstract
BACKGROUND: The identification of Trypanosoma cruzi and blood-meal sources in synanthropic triatomines is important to assess the potential risk of Chagas disease transmission. We identified T. cruzi infection and blood-meal sources of triatomines caught in and around houses in the state of Bahia, northeastern Brazil, and mapped the occurrence of infected triatomines that fed on humans and domestic animals.Entities:
Keywords: Blood meal; Chagas disease; Entomological surveillance; PCR; Trypanosoma cruzi
Mesh:
Year: 2019 PMID: 31878960 PMCID: PMC6933904 DOI: 10.1186/s13071-019-3849-1
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Fig. 1Study area. a Geolocation of Bahia State in Brazil. b Sampled municipalities (polygons) and sample locations (black dots) of triatomines collected between 2013–2014
Fig. 2Maps showing the location of triatomine sampling points in the State of Bahia, Brazil, between 2013–2014. a Intradomestic environment. b Peridomestic environment. The heat gradient represents areas with the highest density of vectors by kernel density with a radius of 2.4 km
Triatomines (Panstrongylus spp., Psammolestes spp. and Triatoma spp.) collected in different environments in Bahia State, Brazil, between 2013–2014
| Species | Intradomestic | Peridomestic | Wild environment | Not determined | Total | Distribution | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AM | AF | N | AM | AF | N | AM | AF | N | AM | AF | N | % | H | |||
| 3 | 8 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 9 | 7.32 | 10 | |
| 2 | 4 | 0 | 4 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 16 (3) | 4 | 3.25 | 10 | |
| 0 | 3 | 0 | 6 | 7 | 2 | 0 | 0 | 0 | 3 | 2 | 0 | 23 (6) | 5 | 4.07 | 7 | |
| 0 | 0 | 0 | 6 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 (8) | 1 | 1.63 | 1 | |
| 23 | 16 | 0 | 19 | 24 | 44 | 10 | 14 | 27 | 1 | 0 | 0 | 178 (57) | 20 | 16.26 | 41 | |
| 32 | 20 | 89 | 12 | 17 | 13 | 1 | 2 | 0 | 8 | 13 | 20 | 227 (96) | 7 | 5.69 | 4 | |
| 0 | 0 | 0 | 4 | 3 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 19 (7) | 1 | 0.81 | 1 | |
| 0 | 0 | 0 | 45 | 102 | 294 | 0 | 0 | 0 | 0 | 0 | 0 | 441 (80) | 1 | 0.81 | 1 | |
| 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 0 | 0 | 0 | 7 (2) | 1 | 0.81 | 12 | |
| 6 | 6 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 17 (1) | 12 | 9.76 | 12 | |
| 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 (1) | 1 | 0.81 | 1 | |
| 23 | 16 | 25 | 117 | 166 | 250 | 0 | 0 | 0 | 33 | 40 | 244 | 914 (81) | 45 | 36.59 | 89 | |
| 89 | 103 | 122 | 712 | 773 | 1370 | 0 | 0 | 0 | 51 | 60 | 296 | 3576 (293) | 70 | 56.91 | 267 | |
| 0 | 0 | 0 | 0 | 0 | 0 | 70 | 199 | 154 | 0 | 0 | 0 | 423 (58) | 1 | 0.70 | a | |
| 9 | 10 | 0 | 3 | 6 | 0 | 0 | 0 | 0 | 2 | 6 | 0 | 36 (3) | 7 | 5.69 | 26 | |
| Total | 187 | 187 | 236 | 932 | 1112 | 1986 | 82 | 215 | 186 | 100 | 123 | 560 | 5906 (696) | 127 | 100 | 482 |
aFrom sylvatic environment
Abbreviations: n, number of municipalities with triatomine occurrence; AM, adult male; AF, adult female; N, Nymph; (), selected samples for molecular biology experiments; H, number of houses with triatomine occurrence
Fig. 3Maps showing the distribution of triatomines by Trypanosoma cruzi infection and blood-meal sources in the State of Bahia, Brazil, between 2013–2014. The grey lines and numbers show the limits of the biomes in Bahia State. a Distribution of all triatomines used in molecular detection. b T. cruzi-infected triatomines. c–f Spatial distribution of triatomines fed on humans, dogs, cats, and birds. The heat gradient represents areas with the highest density of vectors by kernel density with a radius of 2.4 km
Trypanosoma cruzi-infected triatomines collected in Bahia State, Brazil, between 2013 and 2014 broken down by species
| Species | + | % | |||
|---|---|---|---|---|---|
| 3 | 0 | 0 | – | – | |
| 6 | 0 | 0 | – | – | |
| 8 | 2 | 25.0 | a | 0.17 | |
| 57 | 9 | 15.8 | 2.1 | 0.14 | |
| 80 | 0 | 0 | – | – | |
| 96 | 6 | 6.2 | 1.24 | 0.26 | |
| 2 | 0 | 0 | – | – | |
| 7 | 2 | 28.6 | 2.0 | 0.15 | |
| 1 | 0 | 0 | – | – | |
| 81 | 10 | 12.3 | 0.77 | 0.38 | |
| 58 | 25 | 43.1 | 42.9 | ||
| 293 | 11 | 3.75 | 20.0 | ||
| 3 | 2 | 66.7 | a | 0.26 |
aFisher’s exact test
Note: P-values < 0.05 are indicated in bold
Abbreviations: n, number of triatomines; +, number of T. cruzi-infected triatomines; %, percent of positive samples; –, data not suitable for statistical analysis
Blood-meal sources detected in triatomines collected in different environments in Bahia State, Brazil, between 2013 and 2014
| Species | No. of samples | Avian | Human | Dog | Cat | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| I | P | W | I | P | W | I | P | W | I | P | W | I | P | W | |
| 2 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |
| 0 | 6 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 0 | 8 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 33 | 13 | 11 | 23 | 11 | 9 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | |
| 0 | 80 | 0 | 0 | 80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 58 | 35 | 3 | 38 | 26 | 3 | 2 | 0 | 0 | 9 | 5 | 0 | 2 | 2 | 0 | |
| 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 0 | 7 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 26 | 55 | 0 | 8 | 47 | 3 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | |
| 0 | 0 | 58 | 0 | 0 | 50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 201 | 92 | 0 | 120 | 77 | 0 | 0 | 0 | 0 | 16 | 5 | 0 | 0 | 0 | 0 | |
| 3 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Abbreviations: I, intradomestic environment; P, peridomestic environment; W, wild environment