| Literature DB >> 29996902 |
Michellen S de Carvalho1, Andressa Z de Lara Pinto1, Aquirya Pinheiro2, Jorge S V Rodrigues3, Fernando L Melo4, Leonardo Assis da Silva4, Bergmann M Ribeiro4, Renata Dezengrini-Slhessarenko5.
Abstract
BACKGROUND: High throughput sequencing (HTS) boosted the discovery of novel viruses and new variants of known viruses. Here we investigated the presence of viruses in 12 pools of sand flies captured in three climatic periods in RAPELD grids at Rio Claro, Chapada dos Guimarães and at Pirizal, North Pantanal, Mato Grosso State, Midwestern Brazil by HTS, viral isolation of a putative Phlebovirus positive pool in Vero cells, RT-PCR and transmission electron microscopy (TEM).Entities:
Keywords: Bunyavirales; High throughput sequencing; Phenuiviridae; Phylogeny; RNA virus; Viola phlebovirus; Viral isolation
Mesh:
Year: 2018 PMID: 29996902 PMCID: PMC6042282 DOI: 10.1186/s13071-018-2985-3
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Fig. 1Location of RAPELD systems used in the study for sand flies collections in three climatic periods in North Pantanal (1) and Chapada dos Guimarães National Park (2), Mato Grosso State, Midwestern Brazil. Collection plots are marked with blue dots in each RAPELD system grade
Viral sequences obtained by high throughput sequencing from sand flies pools captured in the rainy, intermediate and dry period at North Pantanal and Chapada dos Guimarães National Park, Mato Grosso, Brazil
| Place | Period | Pool | Species ( | Reads | Contigs | Viral hits | Genome | Size (nt) | Identity (%)a | E value | GenBank ID |
|---|---|---|---|---|---|---|---|---|---|---|---|
| North Pantanal | Rainy | 1 | 983,899,176 | 11,747 | – | – | – | – | – | – | |
| 2 | 849,154.470 | 61,862 | – | – | – | – | – | – | |||
| 3 | 819,202,516 | 43,993 | – | – | – | – | – | – | |||
| 4 | 1,179,702,220 | 91,115 | – | – | – | – | – | – | |||
| 5 | 449,698,864 | 28,893 | – | – | – | – | – | – | |||
| 6 | 785,799,190 | 73,656 |
| ssRNA- | 69 | 44.9 | 3.83e-12 | – | |||
| Transitional | 7 | 645,865,104 | 13,763 | ssRNA- | 6341 | 61 | 0 | MF289183 | |||
| ssRNA- | 4403 | 46 | 0 | MF289182 | |||||||
| ssRNA- | 1747 | 53 | 2e-79 | MH119632 | |||||||
| Dry | 8 | 1,115,860,120 | 94,199 |
| ssRNA- | 72 | 40.3 | 4.10e-11 | – | ||
|
| ssRNA+ | 48 | 47.9 | 5.88e-10 | – | ||||||
| CGNP | Rainy | 9 | 999,786,678 | 28,460 | – | – | – | – | – | – | |
| 10 | 787,599,818 | 37,990 | – | – | – | – | – | – | |||
| 11 | – | – | – | – | – | – | – | – | |||
| Dry | 12 | 692,307,934 | 30,666 | – | – | – | – | – | – |
aIdentity refers to the closest phlebovirus species Chagres virus indicated by BLASTx (GenBank)
Abbreviations: CGNP Chapada dos Guimarães National Park, n number, nt nucleotides, Seg segment
Fig. 2RT-PCR for a region of L segment (460 bp) at passage 4 (a) and transmission electron microscopy of Viola phlebovirus in Vero cells at passage 5 (b)
Fig. 3a Genomic organization of Viola phlebovirus L segment; and b phylogenetic tree based on amino acid sequences of phleboviruses by maximum likelihood method Jones-Taylor-Thornton model. Phlebotomus fever and Uukuniemi serogroups are marked in orange and purple, respectively. Bars indicate serocomplexes
Fig. 4a Genomic organization of Viola phlebovirus M segment; and b phylogenetic tree based on amino acid sequences of phleboviruses by maximum likelihood method Jones-Taylor-Thornton model. Phlebotomus fever and Uukuniemi serogroups are marked in orange and purple, respectively. Bars indicate serocomplexes
Fig. 5a Genomic organization of Viola phlebovirus S segment; and b phylogenetic tree based on amino acid sequences of phleboviruses by maximum likelihood method Jones-Taylor-Thornton model. Phlebotomus fever and Uukuniemi serogroup are marked in orange and purple, respectively. Bars indicate serocomplexes