| Literature DB >> 31888285 |
Alex Pauvolid-Corrêa1, Helver Gonçalves Dias2, Laura Marina Siqueira Maia3, Grasiela Porfírio4, Thais Oliveira Morgado5, Gilberto Sabino-Santos6, Paula Helena Santa Rita7, Wanessa Teixeira Gomes Barreto8, Gabriel Carvalho de Macedo4, Jaire Marinho Torres4, Wesley Arruda Gimenes Nantes4, Filipe Martins Santos4, William Oliveira de Assis4, Andreza Castro Rucco4, Rafael Mamoru Dos Santos Yui4, João Bosco Vilela Campos4, Renato Rodrigues Leandro E Silva4, Raquel da Silva Ferreira3, Nilvanei Aparecido da Silva Neves3, Michell Charlles de Souza Costa3, Leticia Ramos Martins3, Emerson Marques de Souza3, Michellen Dos Santos Carvalho3, Marina Gonçalves Lima7, Fernanda de Cássia Gonçalves Alves7, Luiz Humberto Guimarães Riquelme-Junior7, Luan Luiz Batista Figueiró7, Matheus Fernandes Gomes de Santana7, Luiz Gustavo Rodrigues Oliveira Santos8, Samara Serra Medeiros8, Larissa Lopes Seino8, Emily Hime Miranda9, José Henrique Rezende Linhares9, Vanessa de Oliveira Santos9, Stephanie Almeida da Silva9, Kelly Araújo Lúcio9, Viviane Silva Gomes9, Alexandre de Araújo Oliveira10, Julia Dos Santos Silva10, William de Almeida Marques10, Marcio Schafer Marques6, José Junior França de Barros11, Letícia Campos11, Dinair Couto-Lima12, Claudia Coutinho Netto13, Christine Strüssmann14, Nicholas Panella15, Emily Hannon15, Barbara Cristina de Macedo16, Júlia Ramos de Almeida14, Karen Ramos Ribeiro14, Maria Carolina Barros de Castro14, Larissa Pratta Campos14, Ana Paula Rosa Dos Santos14, Isabelle Marino de Souza14, Mateus de Assis Bianchini5, Sandra Helena Ramiro Correa5, Renato Ordones Baptista Luz5, Ananda Dos Santos Vieira5, Luzia Maria de Oliveira Pinto2, Elzinandes Azeredo2, Luiz Tadeu Moraes Figueiredo6, Jeronimo Augusto Fonseca Alencar10, Sheila Maria Barbosa de Lima9, Heitor Miraglia Herrera4, Renata Dezengrini Shlessarenko3, Flavia Barreto Dos Santos2, Ana Maria Bispo de Filippis1, Stephanie Salyer17, Joel Montgomery17, Nicholas Komar15.
Abstract
Zika virus (ZIKV) was first discovered in 1947 in Uganda but was not considered a public health threat until 2007 when it found to be the source of epidemic activity in Asia. Epidemic activity spread to Brazil in 2014 and continued to spread throughout the tropical and subtropical regions of the Americas. Despite ZIKV being zoonotic in origin, information about transmission, or even exposure of non-human vertebrates and mosquitoes to ZIKV in the Americas, is lacking. Accordingly, from February 2017 to March 2018, we sought evidence of sylvatic ZIKV transmission by sampling whole blood from approximately 2000 domestic and wild vertebrates of over 100 species in West-Central Brazil within the active human ZIKV transmission area. In addition, we collected over 24,300 mosquitoes of at least 17 genera and 62 species. We screened whole blood samples and mosquito pools for ZIKV RNA using pan-flavivirus primers in a real-time reverse-transcription polymerase chain reaction (RT-PCR) in a SYBR Green platform. Positives were confirmed using ZIKV-specific envelope gene real-time RT-PCR and nucleotide sequencing. Of the 2068 vertebrates tested, none were ZIKV positive. Of the 23,315 non-engorged mosquitoes consolidated into 1503 pools tested, 22 (1.5%) with full data available showed some degree of homology to insect-specific flaviviruses. To identify previous exposure to ZIKV, 1498 plasma samples representing 62 species of domestic and sylvatic vertebrates were tested for ZIKV-neutralizing antibodies by plaque reduction neutralization test (PRNT90). From these, 23 (1.5%) of seven species were seropositive for ZIKV and negative for dengue virus serotype 2, yellow fever virus, and West Nile virus, suggesting potential monotypic reaction for ZIKV. Results presented here suggest no active transmission of ZIKV in non-human vertebrate populations or in alternative vector candidates, but suggest that vertebrates around human populations have indeed been exposed to ZIKV in West-Central Brazil.Entities:
Keywords: Brazil; Zika; enzootic cycle; plaque reduction neutralization test (PRNT); zoonotic
Mesh:
Year: 2019 PMID: 31888285 PMCID: PMC6950091 DOI: 10.3390/v11121164
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.048
Vertebrate and mosquito species sampled in West-Central Brazil between 2017 and 2018 with a sample size of N > 15 (vertebrates) and N > 20 (mosquitoes), broken down by state. MT, state of Mato Grosso; MS, state of Mato Grosso do Sul.
| Total | MT | MS | Total | MT | MS | ||
|---|---|---|---|---|---|---|---|
| Vertebrate Species | N | N (%) | N (%) | Mosquito Species | N | N (%) | N (%) |
|
| 226 | 154 (68) | 72 (32) | 21,207 | 19,215 (91) | 1992 (9) | |
|
| 190 | 79 (42) | 111 (58) |
| 479 | 430 (90) | 49 (10) |
|
| 189 | 90 (48) | 99 (52) |
| 343 | 311 (91) | 32 (9) |
|
| 177 | 64 (36) | 113 (64) |
| 222 | 222 (100) | 0 (0) |
|
| 170 | 53 (31) | 117 (69) |
| 197 | 83 (42) | 114 (58) |
|
| 102 | 52 (51) | 50 (49) |
| 175 | 175 (100) | 0 (0) |
|
| 92 | 57 (62) | 35 (38) | 167 | 167 (100) | 0 (0) | |
|
| 86 | 4 (5) | 82 (95) |
| 148 | 55 (37) | 93 (63) |
|
| 72 | 56 (78) | 16 (22) | 143 | 77 (54) | 66 (46) | |
|
| 63 | 63 (100) | 0 (0) |
| 139 | 139 (100) | 0 (0) |
|
| 49 | 4 (8) | 45 (92) |
| 114 | 114 (100) | 0 (0) |
|
| 48 | 48 (100) | 0 (0) | 69 | 39 (56,5) | 30 (43,5) | |
|
| 48 | 0 (0) | 48 (100) | 65 | 26 (40) | 39 (60) | |
|
| 38 | 19 (50) | 19 (50) |
| 64 | 64 (100) | 0 (0) |
|
| 38 | 5 (13) | 33 (87) | 64 | 64 (100) | 0 (0) | |
|
| 36 | 36 (100) | 0 (0) | 58 | 58 (100) | 0 (0) | |
|
| 36 | 21 (58) | 15 (42) |
| 55 | 0 (0) | 55 (100) |
|
| 36 | 0 (0) | 36 (100) |
| 50 | 0 (0) | 50 (100) |
|
| 34 | 34 (100) | 0 (0) | 49 | 49 (100) | 0 (0) | |
|
| 24 | 0 (0) | 24 (100) |
| 37 | 0 (0) | 37 (100) |
|
| 23 | 1 (4) | 22 (96) |
| 35 | 0 (0) | 35 (100) |
|
| 17 | 17 (100) | 0 (0) | 30 | 30 (100) | 0 (0) | |
|
| 29 | 0 (0) | 29 (100) |
Figure 1–Subsites used for sampling of mosquitoes and vertebrates in the metropolitan area of Mato Grosso state, West-Central region of Brazil.
Figure 2–Subsites used for sampling of mosquitoes and vertebrates in the metropolitan area of Mato Grosso do Sul state, West-Central region of Brazil.
Figure 3Schematic representing relative abundance of orders of domestic and wild vertebrates blood-sampled and tested for current and past infection with ZIKV.
Plasma samples of domestic and wild animals from West-Central Brazil with neutralizing antibody titers for ZIKV (PRNT90 titer ≥20). Titer determined by 90% plaque–reduction neutralization test. ZIKV = Zika virus; YFV = yellow fever virus; DENV-2 = dengue 2 virus; WNV = West Nile virus; ID = sample identifier; MS = Mato Grosso do Sul; MT = Mato Grosso.
| Class | Order | Species | ID | State | ZIKV | YFV | DENV-2 | WNV | Monotypic |
|---|---|---|---|---|---|---|---|---|---|
| Mammalia | Primates |
| AU0002 | MT | 80 | <10 | <10 | <10 | YES |
| Mammalia | Perissodactyla |
| AU0194 | MT | 40 | <10 | <10 | <10 | YES |
| Mammalia | Artiodactyla |
| AU0199 | MT | 40 | <10 | <10 | <10 | YES |
| Mammalia | Artiodactyla |
| AU0219 | MT | 20 | <10 | <10 | <10 | YES |
| Mammalia | Artiodactyla |
| AU0274 | MT | 20 | <10 | <10 | <10 | YES |
| Mammalia | Carnivora |
| AU0063 | MT | 20 | <10 | <10 | <10 | YES |
| Mammalia | Perissodactyla |
| AU0137 | MT | 20 | <10 | <10 | <10 | YES |
| Mammalia | Perissodactyla |
| AU0188 | MT | 20 | <10 | <10 | <10 | YES |
| Mammalia | Perissodactyla |
| AU0192 | MT | 20 | <10 | <10 | <10 | YES |
| Mammalia | Artiodactyla |
| AU0205 | MT | 20 | <10 | <10 | <10 | YES |
| Aves | Anseriformes |
| AU0439 | MT | 20 | <10 | <10 | <10 | YES |
| Aves | Anseriformes |
| AU0440 | MT | 20 | <10 | <10 | <10 | YES |
| Aves | Anseriformes |
| AU0445 | MT | 20 | <10 | <10 | <10 | YES |
| Aves | Anseriformes |
| AU0447 | MT | 20 | <10 | <10 | <10 | YES |
| Aves | Galliformes |
| AU0008 | MT | 20 | <10 | <10 | <10 | YES |
| Aves | Galliformes |
| AU0029 | MT | 20 | <10 | <10 | <10 | YES |
| Aves | Galliformes |
| AU0090 | MT | 20 | <10 | <10 | <10 | YES |
| Mammalia | Artiodactyla |
| AG0329 | MS | 40 | <10 | <10 | <10 | YES |
| Mammalia | Artiodactyla |
| AG0340 | MS | 20 | <10 | <10 | <10 | YES |
| Mammalia | Artiodactyla |
| AG0348 | MS | 20 | <10 | <10 | <10 | YES |
| Mammalia | Carnivora |
| AG0007 | MS | 20 | <10 | <10 | <10 | YES |
| Mammalia | Carnivora |
| AG0019 | MS | 20 | <10 | <10 | <10 | YES |
| Aves | Galliformes |
| AG0379 | MS | 20 | <10 | <10 | <10 | YES |
| Mammalia | Artiodactyla |
| AG0346 | MS | 20 | ≥10 | ≥10 | <10 | NO |
| Mammalia | Primates |
| AG0297 | MS | 160 | <10 | ≥10 | <10 | NO |
| Mammalia | Perissodactyla |
| AU0366 | MT | 40 | ≥10 | ≥10 | ≥10 | NO |
| Mammalia | Rodentia |
| AU0500 | MT | 80 | <10 | ≥10 | <10 | NO |
| Mammalia | Perissodactyla |
| AU0184 | MT | 80 | <10 | <10 | ≥10 | NO |
| Mammalia | Carnivora |
| AU0197 | MT | 160 | <10 | ≥10 | <10 | NO |
| Mammalia | Carnivora |
| AU0257 | MT | 1280 | <10 | <10 | ≥10 | NO |
| Mammalia | Chiroptera |
| AEU042 | MT | 2560 | <10 | ≥10 | ≥10 | NO |
| Mammalia | Primates |
| AU0001 | MT | ≥320 | <10 | ≥10 | <10 | NO |
| Aves | Anseriformes |
| AU0438 | MT | 20 | <10 | ≥10 | <10 | NO |
| Aves | Galliformes |
| AU0375 | MT | 80 | <10 | <10 | ≥10 | NO |
Figure 4Subsites used for sampling of mosquitoes and vertebrates in Mato Grosso (A) and Mato Grosso do Sul states (B), West-Central region of Brazil. Red circles indicate subsites where animals presented monotypic antibody responses to ZIKV.
Seroprevalence based upon monotypic responses to ZIKV among species with a sample size of N >12, broken down by state, West-Central Brazil. MT, state of Mato Grosso; MS, state of Mato Grosso do Sul.
| Species | Total | MT | MS | ||||
|---|---|---|---|---|---|---|---|
| Scientific Name | Common Name | N | M (%) | N | M (%) | N | M (%) |
|
| Domestic graylag goose | 37 | 4 (10.8) | 37 | 4 (10.8) | 0 | _ |
|
| Cattle | 171 | 5 (2.9) | 59 | 2 (3.4) | 112 | 3 (2.7) |
|
| Chicken | 145 | 4 (2.8) | 102 | 3 (2.9) | 43 | 1 (2.3) |
|
| Horse | 187 | 4 (2.1) | 88 | 4 (4.5) | 99 | 0 |
|
| Dog | 159 | 3 (1.9) | 48 | 1 (2.1) | 111 | 2 (1.8) |
|
| Sheep | 164 | 2 (1.2) | 49 | 2 (4.1) | 115 | 4 (3.5) |
|
| South American coati | 82 | 0 | 2 | 0 | 80 | 0 |
|
| Cat | 66 | 0 | 23 | 0 | 43 | 0 |
|
| Geoffroy’s side-necked turtle | 41 | 0 | 0 | _ | 41 | 0 |
|
| White-eared opossum | 38 | 0 | 27 | 0 | 11 | 0 |
|
| Great fruit-eating bat | 32 | 0 | 16 | 0 | 16 | 0 |
|
| Flat-faced fruit-eating bat | 32 | 0 | 5 | 0 | 27 | 0 |
|
| South American rattlesnake | 32 | 0 | 0 | _ | 32 | 0 |
|
| Pig | 32 | 0 | 32 | 0 | 0 | _ |
|
| Black-tailed marmoset | 31 | 0 | 31 | 0 | 0 | _ |
|
| Cope’s toad | 26 | 0 | 13 | 0 | 13 | 0 |
|
| Seba’s short-tailed bat | 23 | 0 | 11 | 0 | 12 | 0 |
|
| Moojen’s lancehed | 22 | 0 | 0 | _ | 22 | 0 |
|
| Yacare caiman | 22 | 0 | 22 | 0 | 0 | _ |
|
| Capybara | 21 | 0 | 0 | _ | 21 | 0 |
|
| Urutu lancehead | 15 | 0 | 0 | _ | 15 | 0 |
|
| Hooded capuchin | 12 | 0 | 0 | _ | 12 | 0 |
| All other species * | General | 108 | 0 | 74 | 0 | 34 | 0 |
* Other species include: Alouatta caraya, Anas platyrhynchos domesticus, Ateles marginatus, Anser cygnoides, Aotus lemurinus, Artibeus fimbriatus, Bothrops mattogrossensis, Cairina moschata, Callithrix jacchus, Callithrix penicillata, Capra aegagrus hircus, Carollia benkeithi, Cerdocyon thous, Chiroderma trinitatum, Dasyprocta azarae, Didelphis aurita, Didelphis marsupialis, Iguana iguana, Leptodactylus labyrinthicus, Meleagris gallopavo, Molossops temminckii, Molossus molossus, Molossus rufus, Myotis nigricans, Myrmecophaga tridactyla, Noctilio albiventris, Phasianus colchicus, Phylloderma stenops, Platyrrhinus lineatus, Podocnemis expansa, Puma concolor, Rhea americana, Salvator merianae, Sapajus apella, Tapirus terrestres, Trachemys dorbigni, Trachemys scripta, Tupinambis teguixin, unidentified Rodentia.
Mosquito pools from the West-Central region of Brazil that tested positive by flavivirus real-time RT-PCR and nucleotide sequences aligned with known viruses in GenBank.
| Pool ID | State | Species | n | Coverage/Identity | Virus Sequences | Genbank# |
|---|---|---|---|---|---|---|
| P0048 | MS | 1 | 34%/95.7% | Mosquito flavivirus | HQ676625.1 | |
| P0049 | MS | 1 | 84%/92.2% | Mosquito flavivirus | HQ676625.1 | |
| P0057 | MS |
| 2 | 50%/87.4% | Mosquito flavivirus | HQ676625.1 |
| P0217 | MS |
| 4 | 78%/84.5% | Mosquito flavivirus | HQ676625.1 |
| PU0026 | MT | 3 | 77%/95.0% | Mosquito flavivirus | HQ676624.1 | |
| PU0064 | MT | 12 | 46%/80.0% | Kamiti river virus | AY149904.1 | |
| PU0196 | MT | 25 | 87%/92.0% | Mosquito flavivirus | HQ676625.1 | |
| PU0259 | MT | 23 | 77%/93.0% | Mosquito flavivirus | HQ676625.1 | |
| PU0261 | MT | 25 | 86%/90.0% | Mosquito flavivirus | HQ676625.1 | |
| PU0330 | MT | 25 | 87%/93.9% | Mosquito flavivirus | HQ676625.1 | |
| PU0806 | MT |
| 18 | 54%/78.3% | Kamiti river virus | DQ335465.1 |
| PU0807 | MT |
| 25 | 77%/89.2% | Mosquito flavivirus | HQ676625.1 |
| PU0808 | MT |
| 25 | 78%/91.4% | Mosquito flavivirus | HQ676625.1 |
| PU0852 | MT | 2 | 78%/86.8% | Mosquito flavivirus | HQ676625.1 | |
| PU0853 | MT | 2 | 80%/85.9% | Mosquito flavivirus | HQ676625.1 | |
| PU0874 | MT |
| 25 | 37%/92.6% | Geran virus | KP792714.1 |
| PU1001 | MT |
| 1 | 94%/94.7% | Mosquito flavivirus | HQ676625.1 |
| PU1007 | MT |
| 2 | 80%/89.2% | Mosquito flavivirus | HQ676625.1 |
| PU1031 | MT |
| 2 | 53%/80.8% | Kamiti river virus | DQ335465.1 |
| PU1032 | MT |
| 15 | 82%/87.6% | Mosquito flavivirus | HQ676625.1 |
| PU1098 | MT |
| 7 | 82%/87.6% | Mosquito flavivirus | HQ676625.1 |
| PU1124 | MT |
| 6 | 86%/94.7% | Mosquito flavivirus | HQ676625.1 |