| Literature DB >> 30200947 |
Michelle Santos Ferreira1, Alexandro Guterres1, Tatiana Rozental2, Roberto Leonan Morim Novaes3, Emmanuel Messias Vilar4, Renata Carvalho de Oliveira1, Jorlan Fernandes1, Danielle Forneas1, Adonai Alvino Junior1, Martha Lima Brandão5, José Luis Passos Cordeiro5, Martín Roberto Del Valle Alvarez6, Sergio Luiz Althoff7, Ricardo Moratelli5, Pedro Cordeiro-Estrela4, Rui Cerqueira da Silva8, Elba Regina Sampaio de Lemos9.
Abstract
BACKGROUND: The role of bats as reservoirs of zoonotic agents, especially pathogenic bacteria such as Bartonella and Coxiella, has been discussed around the world. Recent studies have identified bats as potential hosts of species from the proteobacteria phylum. In Brazil, however, the role of bats in the natural cycle of these agents is poorly investigated and generally neglected. In order to analyze the participation of bats in the epidemiology of diseases caused by Bartonella, Coxiella, Rickettsia, Anaplasma and Ehrlichia, we conducted a descriptive epidemiological study in three biogeographic regions of the Brazilian Atlantic Forest.Entities:
Keywords: Atlantic Forest hotspot; Bartonella; Brazil; Coxiella burnetii; Mammals; Zoonotic bacterial agent
Mesh:
Substances:
Year: 2018 PMID: 30200947 PMCID: PMC6131887 DOI: 10.1186/s12917-018-1603-0
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Fig. 1Geographic location of sampling sites in the Atlantic Forest of Brazil
Oligonucleotide primers used for screening bat samples of Coxiella burnetii, Bartonella spp., Rickettsia spp., Ehrlichia spp. and Anaplasma spp.
| Pathogen | Target gene | Oligonucleotide primer | Primer sequence (5′ – 3′) | Amplicon size (bp) | Cycling conditions | Reference |
|---|---|---|---|---|---|---|
|
| IS1111 | Outer primer F | TATGTATCCACCGTAGCCAGC | 687 bp | 95 °C for 5 min, 40 cycles of 95 °C for 30s, 60 °C for 30s, 72 °C for 1 min, final extension of 72 °C for 7 min | [ |
| gltA | Outer primer F | GCTATGTCTGCVTTCTATCAYGA | 731 bp | 95 °C for 10 min, 35 cycles of 95 °C for 30s, 58 °C for 30s, 72 °C for 1 min, final extension of 72 °C for 8 min | [ | |
| gltA | Outer primer F | CATCCTATGGCTATTATGCTTGC | 885 bp | 95 °C for 10 min, 30 cycles of 95 °C for 30 s, 55 °C for 40 s, 72 °C for 55 s, final extension of 72 °C for 10 min | [ | |
| 16 s rRNA | Outer primer F | GGTACCYACAGAAGAAGTCC | 345 bp | 95 °C for 3 min, 35 cycles of 95 °C for 15 s, 55 °C for 30 s, 72 °C for 30s, final extension of 72 °C for 5 min | [ |
Number of bats collected per locality (n), total number of bats (N), and infected bats (p), 95% confidence intervals of prevalences (CI) by Bartonella spp. and Coxiella burnetii
| Family: Sub-family | Localities | PCR assay | |||||
|---|---|---|---|---|---|---|---|
| Jacarepagua/RJ n/N(%) | APA Pratigi/BA n/N(%) | PEST/SC n/N(%) | Total bats N(%) | ||||
| Phyllostomidae: Carolliinae | |||||||
| | 4/34(11.8) | 23/34(67.7) | 7/34(20.6) | 34(28.6) | 5/34(14.7; 4.9–31.0) | NS | NA |
| | 0/7(0) | 7/7(100) | 0/7(0) | 7(5.9) | 1/7(14.3; 0.3–57.8) | NS | NA |
| Phyllostomidae: Desmodontinae | |||||||
| | 15/15(100) | 0/15(0) | 0/15(0) | 15(12.6) | 6/15(40; 16.3–67.7) | NS | NA |
| Phyllostomidae: Glossophaginae | |||||||
| | 0/1(0) | 0/1(0) | 1/1 (100) | 1(0.8) | NS | NS | NA |
| | 2/2(100) | 0/2(0) | 0/2(0) | 2(1.7) | NS | NS | NA |
| | 1/1(100) | 0/1(0) | 0/1(0) | 1(0.8) | NS | NS | NA |
| Phyllostomidae: Glyphonycterinae | |||||||
| | 0/1(0) | 1/1(100) | 0/1(0) | 1(0.8) | NS | NS | NA |
| Phyllostomidae: Micronycterinae | |||||||
| | 1/1(100) | 0/1(0) | 0/1(0) | 1(0.8) | NS | NS | NA |
| | 1/1(100) | 0/1(0) | 0/1(0) | 1(0.8) | NS | NS | NA |
| Phyllostomidae: Phyllostominae | |||||||
| | 0/4(0) | 4/4(100) | 0/4(0) | 4(3.4) | 1/4(25; 0.6–80.5) | NS | NA |
| | 0/1(0) | 0/1(0) | 1/1(100) | 1(0.8) | NS | NS | NA |
| Phyllostomidae: Stenodermatinae | |||||||
| | 3/7 (42.9) | 0/7(0) | 4/7(57.1) | 7(5.9) | 1/7(14.3; 0.3–57.8) | 1/7(14.3; 0.3–57.8) | 1/7(14.3; 0.3–57.8) |
| | 4/14(28.6) | 2/14(14.3) | 8/14(57.1) | 14(11.8) | 1/14(7.1; 0.1–33.8) | 3/14(21.4; 4.6–50.7) | NA |
| | 1/2(50) | 0/2(0) | 1/2(50) | 2(1.7) | 1/2(50; 1.2–98.7) | NS | NA |
| | 0/5(0) | 5/5(100) | 0/5(0) | 5(4.2) | NS | NS | NA |
| | 0/1(0) | 0/1(0) | 1/1(100) | 1(0.8) | NS | NS | NA |
| | 0/4(0) | 4/4(100) | 0/4(0) | 4(3.4) | NS | NS | NA |
| | 6/12 (50) | 0/12(0) | 6/12(50) | 12(10.1) | 6/12(50; 21.0–78.9) | NS | NA |
| | 2/2(100) | 0/2(0) | 0/2(0) | 2(1.7) | NS | NS | NA |
| | 2/2(100) | 0/2(0) | 0/2(0) | 2(1.7) | NS | NS | NA |
| Vespertilionidae: Myotinae | |||||||
| | 2/2(100) | 0/2(0) | 0/2(0) | 2(1.7) | NS | NS | NA |
| TOTAL | 44 | 47 | 28 | 119 | 22 (18.5; 11.9–26.6) | 4 (3.4; 0.9–8.3) | 1(0.8; 0.02–4.5) |
NS negative sample, NA not applicable
Specimens infected by Bartonella spp. and Coxiella burnetii. Specimens are arranged by species, locality and sex
| Field Number | Species | Sex | Locality |
|---|---|---|---|
| RM 510 |
| Female | Jacarepaguá – RJ |
| RM 512 |
| Male | Jacarepaguá – RJ |
| RM 517 |
| Female | Jacarepaguá – RJ |
| RM 523 |
| Male | Jacarepaguá – RJ |
| RM 524 |
| Male | Jacarepaguá - RJ |
| RM 525 |
| Female | Jacarepaguá - RJ |
| RM 529 |
| Male | Jacarepaguá - RJ |
| RM 532 |
| Male | Jacarepaguá - RJ |
| RM 534 |
| Male | Jacarepaguá - RJ |
| RM 564 |
| Female | Jacarepaguá – RJ |
| EM 179 |
| Male | APA do Pratigi - BA |
| EM 185 |
| Male | APA do Pratigi - BA |
| EM 186 |
| Male | APA do Pratigi - BA |
| EM 189 |
| Male | APA do Pratigi - BA |
| EM 199 |
| Male | APA do Pratigi - BA |
| EM 209 |
| Male | APA do Pratigi - BA |
| EM 217 |
| Male | APA do Pratigi – BA |
| EM 795 |
| Male | PEST - SC |
| EM 800 |
| Male | PEST - SC |
| EM 803 |
| Male | PEST - SC |
| EM 805 |
| Male | PEST - SC |
| EM 819 |
| Female | PEST – SC |
|
| |||
| RM 514 |
| Female | Jacarepaguá/RJ |
| RM 524 |
| Male | Jacarepaguá/RJ |
| RM 557 |
| Male | Jacarepaguá/RJ |
| EM 817 |
| Female | PEST /SC |
Fig. 2Phylogenetic relationships based on the gltA gene partial (512 nt) sequences of Bartonella species. Numbers (≥ 0.7/70%) above branches indicate posterior node probabilities or bootstrap values (Bayesian/ML). *Indicate values below 0.7/70. The Tamura three-parameter model with gamma distributed rate heterogeneity (T92 + G) was selected as the best-fit evolutionary model according to the Bayesian information criterion calculated using MEGA7 [39]. The branch labels include the GenBank accession number and the species or strain