| Literature DB >> 28705183 |
Ender Dinçer1, Annika Brinkmann2, Olcay Hekimoğlu3, Sabri Hacıoğlu4, Katalin Földes4, Zeynep Karapınar5, Pelin Fatoş Polat6, Bekir Oğuz5, Özlem Orunç Kılınç7, Peter Hagedorn2, Nurdan Özer3, Aykut Özkul4, Andreas Nitsche2, Koray Ergünay8,9.
Abstract
BACKGROUND: Ticks are involved with the transmission of several viruses with significant health impact. As incidences of tick-borne viral infections are rising, several novel and divergent tick- associated viruses have recently been documented to exist and circulate worldwide. This study was performed as a cross-sectional screening for all major tick-borne viruses in several regions in Turkey. Next generation sequencing (NGS) was employed for virus genome characterization. Ticks were collected at 43 locations in 14 provinces across the Aegean, Thrace, Mediterranean, Black Sea, central, southern and eastern regions of Anatolia during 2014-2016. Following morphological identification, ticks were pooled and analysed via generic nucleic acid amplification of the viruses belonging to the genera Flavivirus, Nairovirus and Phlebovirus of the families Flaviviridae and Bunyaviridae, followed by sequencing and NGS in selected specimens.Entities:
Keywords: AP92; Anatolia; Crimean-Congo hemorrhagic fever virus; Nairovirus; Next generation sequencing; Phlebovirus; Surveillance; Tick; Turkey
Mesh:
Year: 2017 PMID: 28705183 PMCID: PMC5513282 DOI: 10.1186/s13071-017-2279-1
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Fig. 1Illustrative map of sampling locations and distribution of the common tick species in the study
Screening results according to the sampling region
| Province | Tick pools | Virus detected | Co-infection | ||
|---|---|---|---|---|---|
| Number | Positive | CCHFV | Phlebovirus | ||
| Ankara | 12 | 0 | – | – | – |
| Antalya | 3 | 0 | – | – | – |
| Aydin | 1 | 0 | – | – | – |
| Bayburt | 1 | 1 (100) | 1 | 0 | 0 |
| Cankiri | 37 | 1 (2.7) | 0 | 1 | 0 |
| Diyarbakir | 13 | 2 (15.4) | 0 | 2 | 0 |
| Edirne | 1 | 0 | – | – | – |
| Gumushane | 1 | 0 | – | – | – |
| Mardin | 1 | 0 | – | – | – |
| Mersin | 63 | 28 (44.4) | 2 | 27 | 1 |
| Mugla | 25 | 5 (20.0) | 0 | 5 | 0 |
| Siirt | 4 | 1 (25.0) | 0 | 1 | 0 |
| Sivas | 2 | 0 | – | – | – |
| Van | 23 | 12 (52.2) | 3 | 12 | 3 |
| Total | 187 | 50 (26.7) | 6 (3.2) | 48 (25.6) | 4 (2.1) |
Features of the tick pools characterized via amplicon sequencing
| Code | Province | Species | Pool composition | Host collection method | Virus detected | GenBank accession number | |
|---|---|---|---|---|---|---|---|
| 1 | KM6 | Mersin |
| 1♀, 1♂ | Dog | CCHFV | KY963543 (CCHFV) |
| 2 | KM3 | Mersin |
| 4♀, 6♂ | Dog | Tick | KY965971 ( |
| 3 | ET35 | Van |
| 1♂ | Sheep | Tick | KY979161 ( |
| 4 | ET36 | Van |
| 1♀ | Sheep | Tick | KY966010 ( |
| 5 | ET37 | Van |
| 1♀ | Goat | Tick | KY966002 ( |
| 6 | KM2 | Mersin |
| 2♀, 1 nymph | Dog | Tick | KY965970 |
| 7 | KM11 | Mersin |
| 2♀, 3♂ | Dog | Tick | KY965972 |
| 8 | KM12 | Mersin |
| 3♀ | Dog | Tick | KY965992 |
| 9 | KM15 | Mersin |
| 1♀ | Dog | Tick | KY965973 |
| 10 | KM17 | Mersin |
| 9♀, 2♂ | Dog | Tick | KY965974 |
| 11 | KM19 | Mersin |
| 1♀, 1♂ | Dog | Tick | KY965993 |
| 12 | KM21 | Mersin |
| 4♀ | Dog | Tick | KY965975 |
| 13 | KM22 | Mersin |
| 2♀, 1♂ | Dog | Tick | KY965976 |
| 14 | KM23 | Mersin |
| 3♀, 2♂ | Dog | Tick | KY965977 |
| 15 | KM24 | Mersin |
| 2♀, 3♂ | Dog | Tick | KY965995 |
| 16 | KM25 | Mersin |
| 3♀, 2♂ | Dog | Tick | KY965978 |
| 17 | KM26 | Mersin |
| 4♀, 4♂ | Dog | Tick | KY965979 |
| 18 | KM27 | Mersin |
| 1♀, 1♂ | Dog | Tick | KY965980 |
| 19 | KM29 | Mersin |
| 1♀ | Dog | Tick | KY965981 |
| 20 | KM30 | Mersin |
| 5♀, 1♂ | Dog | Tick | KY965982 |
| 21 | KM31 | Mersin |
| 7♀, 1♂ | Dog | Tick | KY965994 |
| 22 | KM33 | Mersin |
| 1♂ | Dog | Tick | KY965983 |
| 23 | KM35 | Mersin |
| 1♀, 2♂ | Dog | Tick | KY965984 |
| 24 | KM41 | Mersin |
| 1♀ | Dog | Tick | KY965998 |
| 25 | KM49 | Mersin |
| 2♀, 2♂ | Dog | Tick | KY965985 |
| 26 | KM50 | Mersin |
| 2♀, 2♂ | Dog | Tick | KY965986 |
| 27 | KM51 | Mersin |
| 1♀, 5 nymphs | Dog | Tick | KY965987 |
| 28 | KM55 | Mersin |
| 2♀ | Dog | Tick | KY965988 |
| 29 | KM59 | Mersin |
| 2♀ | Dog | Tick | KY965989 |
| 30 | KM60 | Mersin |
| 2♀, 1♂ | Dog | Tick | KY965990 |
| 31 | KM36 | Mersin |
| 3♂, 1♀ | Dog | Tick | KY965991 |
| 32 | CA16 | Cankiri |
| 17♀ | Goat | Tick | KY965997 |
| 33 | MU43 | Mugla |
| 2♀ | Dog | Tick | KY965996 |
| 34 | ET2 | Van |
| 1♀ | Cattle | Tick | KY966006 |
| 35 | ET20 | Van |
| 1♂ | Cattle | Tick | KY966007 |
| 36 | ET11 | Van |
| 1♂ | Sheep | Tick | KY966005 |
| 37 | ET25 | Van |
| 1♀ | Sheep | Tick | KY979160 |
| 38 | ET26 | Van |
| 1♀ | Goat | Tick | KY965999 |
| 39 | ET29 | Van |
| 1♂ | Sheep | Tick | KY966003 |
| 40 | ET31 | Van |
| 1♀ | Goat | Tick | KY966011 |
| 41 | ET32 | Van |
| 1♀ | Goat | Tick | KY966008 |
| 42 | ET33 | Van |
| 1♀ | Sheep | Tick | KY966009 |
| 43 | ET6 | Diyarbakir |
| 1♂ | Cattle | Tick | KY966001 |
| 44 | ET14 | Diyarbakir |
| 1♂ | Sheep | Tick | KY966000 |
| 45 | ET7 | Siirt |
| 1♂ | Sheep | Tick | KY966004 |
Features of the tick pools characterized via next generation sequencing
| Code | Province | Species and composition | Host collection method | Virus detected | Genomic target | Metagenome viral reads | Length | GenBank accession number | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | MG22 | Mugla |
| Flagging | Tick Phlebovirus (Antigone clade) | L segment | 4000 | 6539 | KY979165 |
| S segment | 155 | 440 | KY984485 | ||||||
| 2 | MG31 | Mugla |
| Flagging | Tick Phlebovirus (Antigone clade) | L segment | 343 | 6539 | KY979166 |
| 3 | MG36 | Mugla |
| Flagging | Tick Phlebovirus (Antigone clade) | L segment | 1100 | 6374 | KY979167 |
| 4 | MG49 | Mugla |
| Cattle | Tick Phlebovirus (KarMa clade) | L segment | 544 | 6363 | KY979168 |
| 5 | MG48 | Bayburt |
| Cattle | CCHFV (AP92-like) | L segment | 2863 | 11,988 | KY979162 |
| M segment | 318 | 3852 | KY979163 | ||||||
| S segment | 228 | 1484 | KY979164 | ||||||
Fig. 2Maximum likelihood analysis of the partial Crimean-Congo hemorrhagic fever virus L segment sequences (445 nucleotides). The sequences characterized in this study are given in bold and indicated with a black circle, the GenBank accession number and pool code. Global virus strains are indicated by the GenBank accession number, virus and strain/isolate name. Bootstrap values higher than 50 are shown. Nairobi sheep disease virus isolate Jilin was included as the outgroup
Fig. 3Maximum likelihood analysis of the partial tick-associated phlebovirus L segment sequences (258 nucleotides). The sequences characterized in this study are given in bold and indicated with a black diamond, the GenBank accession number and pool code. Global virus strains are indicated by the GenBank accession number, virus and strain/isolate name. Bootstrap values higher than 50 are shown
Fig. 4Maximum likelihood analysis of the putative, near-complete RNA-dependent RNA polymerase protein (2295 amino acids) of phleboviruses. The sequences characterized in this study are given in bold and indicated with a black triangle, the GenBank accession number and pool code. Global virus strains are indicated by the GenBank accession number, virus and strain/isolate name
Fig. 5Schematic comparison and maximum likelihood analysis of the Crimean-Congo hemorrhagic fever virus L (a), M (b) and S (c) segments and coding/non-coding regions. The analysis is based on 13,125, 3928 and 1509 nucleotides for L, M and S segments, respectively. The characterized sequences are given in bold and indicated with symbols, the GenBank accession number and pool code. Global virus strains are indicated by the GenBank accession number, virus and strain/isolate name. Bootstrap values higher than 50 are provided. Nairobi sheep disease virus isolate Jilin was included as the outgroup
Fig. 6Maximum likelihood analysis of the partial Crimean-Congo hemorrhagic fever virus S segment sequences (174 nucleotides). The AP92 and related sequences are marked. Sequences obtained in Turkey are indicated with a black square and the GenBank accession number. The sequence characterized in this study is given in bold and with the pool code. Global virus strains are indicated by the GenBank accession number, virus and strain/isolate name. Bootstrap values higher than 60 are shown. Nairobi sheep disease virus isolate Jilin was included as the outgroup