Literature DB >> 31803784

A Study on the Identification of Five Arboviruses from Hematophagous Mosquitoes and Midges Captured in Some Parts of Northern Turkey.

Emre Ozan1, Harun Albayrak2, Semra Gumusova2, Cenk S Bolukbas3, Mithat Kurt2, Gokmen Z Pekmezci4, Yunus E Beyhan5, Hamza Kadi1, Selma Kaya1, Ismail Aydin1, Zafer Yazici2.   

Abstract

BACKGROUND: Whether zoonotic or not, arboviral infections are continuing to be a major threat to human health as well as the livestock industry all around the world. This project presented the results of the identification study on five arboviruses, including West Nile virus (WNV), Bovine ephemeral fever virus, Akabane virus, Bluetongue virus, and Epizootic hemorrhagic disease virus, in mosquitos and midges from eight provinces of the Black Sea Region.
METHODS: During 2011 and 2012, 3193 mosquitoes were captured around natural streams, rivers, lakes, and ponds using dry-baited miniature light-traps. Identification studies were concluded by employing molecular methods.
RESULTS: According to the morphological identification, blood-sucking mosquitoes and biting-midges belonged to Aedes (44.69%), Anopheles (28.34%), Culex (22.14%) and Culicoides (4.83%) species. Overall, 146 pools were made up of captured mosquitos and midges. None of the five viruses were directly identified by mosquitoes.
CONCLUSION: Mosquitoes and midges have got a crucial role in the transmission of arboviruses. The risk of occurrence for the investigated arboviruses will continue depending upon many factors including the presence of these viruses in Turkey and its neighboring countries, uncontrolled livestock movements, global warming and climate changes. Copyright© Iranian Society of Medical Entomology & Tehran University of Medical Sciences.

Entities:  

Keywords:  Arbovirus; Identification; Midge; Mosquito; Real-time

Year:  2019        PMID: 31803784      PMCID: PMC6885145     

Source DB:  PubMed          Journal:  J Arthropod Borne Dis        ISSN: 2322-1984            Impact factor:   1.198


Introduction

Viruses transmitted by arthropod vectors can either be zoonotic or non-zoonotic. Currently, more than 100 species of arbovirus are categorized as zoonoses due to their transmissibility from arthropods to human (1). Most arboviruses belong to the virus families Flaviviridae, Togaviridae, Reoviridae as well as both Peribunyaviridae and Phenuiviridae within the order Bunyavirales, formerly known as Bunyaviridae (1–3). Mosquitoes and ticks are the main vectors for the majority of arboviruses (1, 4). There are approximately 300 species of mosquito and 116 species of ticks known to be vectors of arboviruses (5, 6). The vast majority of mosquitos are Aedes and Culex species, with 115 and 105 species respectively (6). In addition, 25 midge species, mainly Culicoides, and Sandflies, Lasiohelea blackflies, stink-bugs, lice, mite, might have played a role in transmitting arboviruses (5). Even though certain viruses are transmitted by specific vectors, some arboviruses, for example, West Nile virus (WNV), can be transmitted additionally by ticks and other arthropods (1). Infection with certain arboviruses can result in serious symptoms, including high fever, haemorrhage, meningitis, encephalitis and death (1). Moreover, in animals, abortions, stillbirth, congenital anomalies arthrogryposis-hydranencephaly are also seen in as a result of infection by certain arboviruses, for example, Bluetongue virus (BTV), and Akabane virus (AKAV). Equally, some arboviral infections are asymptomatic and the patients recover from infection after a few weeks. WNV, dengue virus (DENV) and Chikungunya virus (CHIKV) are the best known and globally distributed human arboviruses (1, 7). BTV, AKAV and Bovine ephemeral fever virus (BEFV) are important, non-zoonotic arboviruses of animals. In particular, large epidemics of BTV-serotype 8 in EU countries including Holland, Czech Republic, Belgium, Sweden, the UK, and Switzerland emerged between 2006–2008 and caused major economic losses in all of these countries (8). In Turkey, the presence of WNV, BTV, AKAV, BEFV and Epizootic hemorrhagic disease virus (EHDV) has been reported following serological studies (9–12). Furthermore, a limited number of studies have been conducted to identify arboviruses from invertebrate vectors (7). The spread of arboviruses is influenced by many factors, such as increasing international travel, globalization of trade and climate change. Whether symptomatic or not, arboviral infections may cause a large social and economic burden for societies (1). The detection of arboviruses in vectors is important for public health and the livestock industry and allows a lot of detailed information to be gathered about seasonal arbovirus circulation, helping to create time-dependent preventive measures. As the geographical bridge between Europe and Asia, Turkey has a rich capacity as for natural and ecological conditions that provide a suitable habitat for arthropod populations, thus paving the way for the emergence of new arthropod-borne viruses. At the same time, Turkey is also at risk due to the known presence of these viruses in neighboring countries such as Iran, Iraq, Syria, the Balkan and Blacksea states. The aim of this study was to identify five arboviruses from field trapped mosquitos and midges at different provinces in Northern Turkey. Captured vectors were examined by employing the real-time RT-PCR and RT-PCR.

Materials and Methods

Samples

During summer months of 2011 and 2012, eight provinces of Northern Turkey (Fig. 1) were chosen to collect mosquito and midge samples. In the sampling period, two significant points were taken into account for the installation of traps: (i) areas of sampling where mosquito and midges were particularly abundant, such as cowsheds and sheepfolds, near or close to lakes, ponds, dam-lakes, natural streams and rivers, were chosen in the immediate vicinity of least 3 residential area in each province. (ii) Mosquitos and midges were collected on days that were without rain and wind during the night between 6pm and 12pm. Mosquitos and midges were caught in glass containers containing water and then were transported immediately to the laboratory under cold chain.
Fig. 1.

A map showing the provinces targetted in htis study for the capture of mosquitoes and biting-midges during 2011 and 2012. Provinces that indicated with numbers are 1: Sinop, 2: Samsun 3: Ordu, 4: Giresun, 5: Trabzon, 6: Rize, 7: Amasya, 8: Tokat

A map showing the provinces targetted in htis study for the capture of mosquitoes and biting-midges during 2011 and 2012. Provinces that indicated with numbers are 1: Sinop, 2: Samsun 3: Ordu, 4: Giresun, 5: Trabzon, 6: Rize, 7: Amasya, 8: Tokat Mosquitoes and midges were separated under the stereomiscroscope in order to morphologically identify species (13, 14). Overall, 146 pools from 3193 mosquitos and midges were made up according to each capture province and capture time, and were stored at −80 °C until use. The vast majority of them were Aedes spp. corresponding to 1427 (44.69%) mosquitoes. Furthermore, we identified the numbers of Anopheles spp., Culex spp. and Culicoides spp. as 905 (28.34%), 707 (22.14%) and 154 (4.83%), respectively (Table 1).
Table 1.

The numbers of captured insect species according to provinces where the traps were installed

Longitude (°E)Latitute (°N)Trapping ProvincesCaptured Mosquitos and Midges

AedesAnophelesCulexCulicoides
35.0942.01Sinop1954015827
36.2041.17Samsun137219516844
36.4340.19Amasya3204620
35.5040.40Tokat2313618135
37.5341.00Ordu338226
38.2440.55Giresun-4352
39.4341.00Trabzon5460-
40.3141.02Rize237-
Total1427905707154
The numbers of captured insect species according to provinces where the traps were installed

Homogenization of mosquitoes and midges

Insect pools were transferred into magnalyser green bead tubes (Roche Germany). 1ml of PBS (Gibco) was then added to each tube. Pools were homogenized using a 1.4mm magnalyser ceramic bead by shaking MagNa Lyser (Roche, Germany). Following homogenization, the unsoluable particulates were pelleted by centrifugation at 4 °C, 3000rpm for 15min. The supernatant from each pool was then transferred into a new tube and used for nucleic acid purification using the total RNA extraction kit (Qiagen, Spain) according to the manucfacturer’s instructions.

RNA extractions and RT-PCR tests

Positive controls of viral RNA used for PCR tests were kindly provided by University of Texas Medical Branch (Galveston, USA) for WNV, Pendik Veterinary Control Institute (Istanbul, Turkey) for BTV, Veterinary Diagnostic Technology Inc (USA) for EHDV, Veterinary Control Institute (Samsun, Turkey) for AKAV and Department of Virology, Faculty of Veterinary Medicine, University of Selcuk (Konya, Turkey) for BEFV. Detailed information regarding primers and Taqman probes labelled FAM-TAMRA are given in Table 2.
Table 2.

Primers and Probes sequences that employ for this research

Primer/ProbesSequences(5′-3′)Position
WN3 NC-FCAGACCACGCTACGGCG10,668–10,684
WN3 NC-RCTAGGGCCGCGTGGG10,770–10,756
WN3 NC-PTCTGCGGAGAGTGCAGTCTGCGAT10,691–10,714
BTVrsa 291–311FGCGTTCGAAGTTTACATCAAT291–311
BTVrsa 387–357RCAGTCATCTCTCTAGACACTCTATAATTACG387–357
BTVuni 291–311FGCTTTTGAGGTGTACGTGAAC291–311
BTVuni 381–357RTCTCCCTTGAAACTCTATAATTACG381–357
BTV 341–320PCGGATCAAGTTCACTCCACGGT341–320
BTV 346–323PTCCTCCGGATCAAGTTCACTCCAC346–323
EHD 1/2FGCGTTGGATATATTGGACAAAGC165–187
EHD 1/2RGCATACGAAGCATAAGCAACCTT275–253
EHD 1/2PTCAAATCAAACGGGCGCAACTATGG192–216
EHD 3FAGCCCTCGACATTCTGGATAAG164–185
EHD 3RCGCGACTTTCTCCACTTTTTG259–239
EHD 3PCAAATCAAACTGGTGCCACGATGGC206–230
EHD 4FAAGTTGCCCTCGATATCCTAGATAAG160–185
EHD 4RGTAAGCGACCTTTTCTACCTTTTGA266–242
EHD 4PCAATGTCTAACCAAACAGGCGCTACAATGG199–228
EHD 5FGCTGGATATACTCGACAAAGCAATG167–191
EHD 5RACGCGACCTTTTCTACTTTTTGA262–240
EHD 6FGAGTCGCGCTGGATATACTC160–179
EHD 6RGCATATGATGCATACGCGACCTTT276–253
EHD 7FCAAAAGTTGCCCTTGACATTTTAG157–180
EHD 7RCATATGCTACTTTTTCTACCTTCTGC266–243
EHD 8FCCAAAAGTCGCCCTTGATATTT156–177
EHD 8RCATATGCCACTTTTTCTACCTTCTGC268–243
AK151FGCTAGAGTCTTCTTCCTCAACCAGAA151
AK231RAAAAGTAAGATCGACACTTGGTTGTG231
AK182PCCAAGATGGTCTTACATAAG182
BEF346 FTATTACCCTCCTGCCGGATGCTTT346–369
BEF1155 RAGGTCTGTATTCGCACCAAGCTCT1155-1132
Primers and Probes sequences that employ for this research Viral RNAs of WNV, BTV, EHDV and AKAV was detected in 96 well plates using a Light Cycler 2.0 real-time PCR systems (Roche, Germany). The results were assessed using the LightCycler Software 4.05 (Roche, Germany). Arktik thermal cycler (Thermo Scientific, UK) were used for RT-PCR in order to detect BEFV RNA. The concentration and purity of RNA were used by absorbance at 260–280nm wavelenghts using a UV spectrophotemeter (Helios Gamm, Thermo Spectronic, UK). To perform a real-time RT-PCR for the detection of WNV-RNA in mosquito pools, specific primers and a probe (15) were used. The Taqman probe was labeled at the 5′ end with the reporter dye FAM and labeled at the 3′ end with quencher dye TAMRA. Briefly, the reaction mixture was made up in a total volume of 50µL containing 2µL sample RNA, 75mM Tris-HCl (25 °C, pH 8.8), 20mM (NH4)2 SO4, 6mM MgCl2, 0.2mM of dNTP mix, 50 pmol of primers 10pmol of prob, 1µL of Triton X-100, 5U RNase inhibitor, 100U Moloney murine leukemia virus reverse transcriptase and 2,5U Taq DNA polimerase (Thermo Scientific, UK) and water. The mixture was cycled as follow: 1 cycle 30min at 42 °C for reverse transcription, 1 cycle of 2min at 94 °C, 40 cycles of 30sec at 94 °C, 30sec at 55 °C and 20sec at 72 °C and 1 cycle of 30sec at 40 °C. To investigate BTV-RNA in pools, the real-time RT-PCR method (16) was carried out using the QIAamp Viral RNA Mini Kit (Qiagen, Spain) according to the manufacturer’s instructions. RNA was eluted in 50μl nuclease-free water and then stored at −20 °C. For RNA sample denaturation prior to the initial RT step, heat denaturation of RNA was evaluated by heating 6μl samples at 98 °C for 5 min followed by rapid cooling on ice. The reaction mixture contained, 20pmol of each primer, 5pmol of prob, 1.25mM MgCl2, 0,4mM dNTPs, 0.8µL of enzyme mix, 4µL of 5X RT-PCR buffer, 3µL denatured RNA and water to a final volume of 20µL.The mixture was cycled in using following procedure: After 1 cycle of 30min at 50 °C for reverse transcription, 1cyle of 15min at 95 °C for denaturation, 45 cycles of 15sec at 95 °C and 1min at 60 °C. Test was evaluated at the end of 30s at 40 °C. To investigate AKAV-RNA in pools, we used touch-down rRT-PCR with some modifications (17). The reaction mixture was made up in a total volume of 50µL containing 3µL sample RNA, 75mM Tris-HCl (25 °C, pH 8.8), 20mM (NH4)2SO4, 6mM MgCl2, 0.2mM dNTP Mix, 20pmol of primers 10pmol of prob, 1µL of Triton X-100, 5U RNase inhibitor, 100U Moloney murine leukemia virus reverse transcriptase and 2.5U Taq DNA polymerase (Thermo Scientific, UK). Cycling conditions included: RNA was reverse transcribed at 42 °C for 30min and was followed by an inactivation step at 94 °C for 2min). After reverse-transcription and inactivation steps, 10 cycles of 15sec at 95 °C, 60sec at 60 °C (decreased by 2 °C per cycle so that it reached 50 °C after 10 cycles) and 15min at 72 °C were carried out. Finally, a further 35 cycles of 15sec at 95 °C, 1min at 50 °C and 15sec at 72 °C and 40 °C for 2min followed. To investigate EHDV-RNA in pools, the mixture was prepared in a total volume of 20 µL containing 3µL sample RNA, 4µL of 5X master mix, 1.25mM MgCl2, 0.5mM dNTPs, 20pmol of primers, 5 pmol of probe, 1µL of enzyme mix (Qiagen, Spain) and water. Cycling conditions of the reaction were as follows: 1 cycle of 30min at 50 °C for reverse transcription step, 15min at 95 °C for inactivation and denaturation step, and 40 cycles of 10sec at 95 °C, 1min at 55 °C, 30 sec at 72 °C and finally incubation 30sec at 40 °C. Seven primer pairs and 3 probes were used to investigate all of the EHD serotypes. EHDV-1 and 2 were tested using the same primer pair. The different probes were used for EHDV 3 and 4 while the same probes were using for EHDV-1, 2, 5, 6, 7 and 8 (18). BEFV-RNA in pools were tested by using one-step reverse transcription PCR method. Specific primers with the Qiagen OneStep RT-PCR kit were used for ampflying a 809bp DNA fragment (19). The RT-PCR mixture was prepared in a total volume of 50µL containing 5µL sample RNA, 10µL of 5X mastermix, 0.2 mM of dNTP mix, 10pmol of primers, 10U RNase inhibitor and 2µL of enzyme mix and water. Amplification was conducted using thermal cycler according to the reaction conditions as follow: following reverse-transcription at 50 °C for 30min, 1 cycle of 5min at 95 °C, then 35 cycles of 30sec at 95 °C, 1min at 56 °C and 1min at 72 °C. The amplication process was terminated after a final extension of 10min at 72 °C. 5µL of PCR products were visualized on a 1.5% agarose gel stained ethidium bromide.

Results

Hematophagous mosquitos and biting midges were caught using dry-baited miniature light-traps located near to natural streams, rivers, lakes and ponds. Following morphological identification under the stereomicroscope, 146 pools were made, representing 3193 mosquitos and biting midges. At the end of morphological identification, overall proportions of hematophagous mosquitos and biting-midges were found to be 95.17% and 4.83%, respectively. Captured mosquitos were found to belong to Aedes (44.69%), Anopheles (28.34%) and Culex (22.14%) species. Midges were identified as Culicoides (4.83%), The amplication results of four arbovirus including WNA, BTV, EHDV and AKAV by a real time RT-PCR test were shown in Fig. 2. Positive controls for 4 viruses worked very well and gave a good amplification earlier. A detectable fluorescence signals above the threshold for positive controls occurred at 12 cycles for WNV, 28 cycles for BTV, 28 cycles for EHDV and 11 cycles for AKAV. No viral RNA for these viruses could be identified by employing real-time RT-PCR in any of the insect pools. Similarly, BEFV-RNA was not detected using one-step RT-PCR in any of the mosquito pools.
Fig. 2.

The amplication results of four arbovirus including WNA, BTV, EHDV and AKAV by a real time RT-PCR test. Curves indicated the real time PCR plots of positive controls. A:WNV, B:BTV, C: EHDV, and D:AKAV. A detectable fluorescence signals above the threshold for positive controls of four viruses occurred at 12 cycles for WNV, 28 cycles for BTV, 28 cycles for EHDV and 11 cycles for AKAV.As it seen in all figures, no positive pools for 4 viruses could be determined

The amplication results of four arbovirus including WNA, BTV, EHDV and AKAV by a real time RT-PCR test. Curves indicated the real time PCR plots of positive controls. A:WNV, B:BTV, C: EHDV, and D:AKAV. A detectable fluorescence signals above the threshold for positive controls of four viruses occurred at 12 cycles for WNV, 28 cycles for BTV, 28 cycles for EHDV and 11 cycles for AKAV.As it seen in all figures, no positive pools for 4 viruses could be determined In all of 8 provinces, none of five viruses could be determined during the sampling period.

Discussion

Whether zoonotic or not, arboviral infections are continuing to be a major threat to human health as well as the livestock industry all around the world (1, 20). In the last decade, many outbreaks in humans and animals caused by arboviruses have been reported. Identification of arboviruses in vectors can provide us much information to help develop control strategies against them. Historically, there are only a few studies on arboviruses in vectors in Turkey, limited to the Flaviviridae and Togaviridae (7, 21). In one such study, 15.9% of collected mosquitos were reported as WNV positive (7). Our study was planned for five animal arboviruses, including WNV, BTV, EHDV, AKAV and BEFV to identify from their vectors. With the exception of WNV, all of the viruses are non-zootic. This study can be defined as the first compherensive identification study of mosquitoes and midges caught in the Middle and East Black Sea Region in Turkey. During 2011–2012, 3190 mosquitoes and midges were collected using light traps in 8 provinces of the Central and East Blacksea region of Northern Anatolia, Turkey. According to the morphological identification results, the vast of majority of the overall vector population was mosquito (95.17%), comprising 44.69% Aedes, 28.34% Anopheles and 22.14% Culex, species known as vector for WNV, BEFV (22, 23). Culicoides midges, known as the important biological vector of BTV (8), EHDV (11) and AKAV (24), represented 4.83% of catches. In Turkey, serologically the presence of WNV for the first time was reported in different animal species including horses (13.5%), dogs (37.7%), cattle (4%) and sheep (1%) (9). The first identification of WNV from haematophagous mosquitoes in Eastern Thrace territory of Turkey was carried out (7). In the previous years, a few identification studies on WNV had been reported in the Black Sea region and no WNV could be identified from insects and blood samples of various animal species such as horses and wild birds (25, 26). Moreover, the serological diagnosis of WNV could also not be possible in various animal species with the exception of goats that seropositivity rate was reported as 2.85% (27, 28). In our comprehensive study, although 80% of the captured insects were a specific vector for WNV, the identification of WNV was not possible using real-time RT-PCR. The lack of presence of WNV may be due to the absence of certain vector specific determinats of emergence, such as the seasonal activity, climate change, ecological and environmental conditions (7, 9). BTV and EHDV both belong to the family Reoviriadae, and both viruses are transmitted between ruminant hosts by Culicoides biting midges. During the past decade, BTV outbreaks have occurred in the western part of Turkey (8, 29). An EHDV outbreak was also reported in Western Anatolia in 2007 (11). However, infections caused by these viruses in Northern Anatolia had not been seen before. On the other hand, there are serological data regarding both viruses showing the historical presence of these viruses. Seropositivity for EHDV had been reported in cattle as 1.33%, with evidence of BTV seropositive animals, including 11% for cattle, 3% for sheep and 4% for goat (25, 27–28, 30). In our study, no BTV-RNA and EHDV-RNA could be identified by using real-time RT-PCR. When scrutinized, these results could depend upon two main causes. First, historically neither disease has been clinically evident in this region until recently and, secondly, the proportion of Culicoides species was far fewer than other insects captured during sampling periods. Furthermore, livestock movements inside Turkey may confound some interpretations of serological data. Culicoides is also the main vector for AKAV. Despite a serological prevalence of 22% in our study area (27), in neither mosquito nor midge pools could be not detected AKAV-RNA by real-time PCR. This result can be interperented similarly to BTV and EHDV. In previous years, numerous BEFV outbreaks were reported in Turkey, primarily in South and Sout-East Anatolia. The climate of these regions is suitable for BEFV vectors. In addition, there are common borders with Syria and Iraq where the virus has been previously reported. The latest outbreak began in the same regions in 2012 and reached a case fatality rate (31, 32). In the Central and Eastern Blacksea region of Turkey, antibodies against BEFV were shown to be 13.5% (27). Despite the serological indications, clinical BEFV has not been reported. In the current study, we attempted to identify BEFV from captured insects using RT-PCR. At the end of the experiments, no BEFV-RNA could be found in all pools. According to our standpoint, there are a few unsuitable climatic conditions and vector ecology may represent important factors in determining whether or not infection occurs. No viral RNAs of five arboviruses could be found in pools made up of captured various mosquitos and midges during this project. Infections caused by these five viruses were not observed clinically in the Central and East Blacksea region where the project was carried out. However, in the light of serological data obtained from previous studies, five viruses are nevertheless considered to circulate between animals and prospective vectors. Furthermore it is not ruled out that mosquitos and midges cannot be found in some locations of targeting regions or were never infected with five viruses. Reservoir, vector, and climate are the most important aspects for the epidemiology of arboviruses. The climatic condition of a region, such as amount of rainfall, wind status and insecticide application are particularly important factors in vector biology. In the Black Sea region, yearly averages of temperature, humidity and rain are reported as 13.0 °C (4.2–22.1 °C), 71%, 842.6mm3, respectively. When compared, these values are lower than the Western Anatolia region of Turkey where the disease is seen frequently, reportedly 16.3 °C (6.4–26.8 °C), 63%, 2, 725.9mm3 respectively. These data are important factors affecting vector abundance. Hence the existence of Culicoides species in the Black Sea region was far less than the western and southern part of Turkey (14).

Conclusion

Mosquitoes and midges have got a crucial role in the transmission of arboviruses. The risk of occurrence for the investigated arboviruses will continue depending upon many factors including (i) the presence of these viruses in Turkey and its neighbouring countries (ii) uncontrolled livestock movements (iii) global warming and climate changes. A large scale project, inclusive of both people and animals, should be planned. In addition, effective arboviral disease surveillance systems that can detect outbreaks of emerging zoonotic and non-zoonotic infection should be developed.
  23 in total

1.  Changes to taxonomy and the International Code of Virus Classification and Nomenclature ratified by the International Committee on Taxonomy of Viruses (2017).

Authors:  Michael J Adams; Elliot J Lefkowitz; Andrew M Q King; Balázs Harrach; Robert L Harrison; Nick J Knowles; Andrew M Kropinski; Mart Krupovic; Jens H Kuhn; Arcady R Mushegian; Max Nibert; Sead Sabanadzovic; Hélène Sanfaçon; Stuart G Siddell; Peter Simmonds; Arvind Varsani; Francisco Murilo Zerbini; Alexander E Gorbalenya; Andrew J Davison
Journal:  Arch Virol       Date:  2017-04-22       Impact factor: 2.574

2.  Rapid detection of west nile virus from human clinical specimens, field-collected mosquitoes, and avian samples by a TaqMan reverse transcriptase-PCR assay.

Authors:  R S Lanciotti; A J Kerst; R S Nasci; M S Godsey; C J Mitchell; H M Savage; N Komar; N A Panella; B C Allen; K E Volpe; B S Davis; J T Roehrig
Journal:  J Clin Microbiol       Date:  2000-11       Impact factor: 5.948

3.  Detection and quantitation of akabane and aino viruses by multiplex real-time reverse-transcriptase PCR.

Authors:  Yehuda Stram; Larisa Kuznetzova; Merisol Guini; Arie Rogel; Ruth Meirom; Dalia Chai; Hagai Yadin; Jackob Brenner
Journal:  J Virol Methods       Date:  2004-03-15       Impact factor: 2.014

4.  Arboviral surveillance of field-collected mosquitoes reveals circulation of West Nile virus lineage 1 strains in Eastern Thrace, Turkey.

Authors:  Koray Ergunay; Filiz Gunay; Kerem Oter; Ozge Erisoz Kasap; Serra Orsten; Ayse Zeynep Akkutay; Hakan Erdem; Aykut Ozkul; Bulent Alten
Journal:  Vector Borne Zoonotic Dis       Date:  2013-08-06       Impact factor: 2.133

5.  A large-scale outbreak of bovine ephemeral fever in Turkey, 2012.

Authors:  Sukru Tonbak; Engin Berber; Mustafa Deniz Yoruk; Ahmet Kursat Azkur; Zuleyha Pestil; Hakan Bulut
Journal:  J Vet Med Sci       Date:  2013-06-21       Impact factor: 1.267

Review 6.  Epidemiology and control of bovine ephemeral fever.

Authors:  Peter J Walker; Eyal Klement
Journal:  Vet Res       Date:  2015-10-28       Impact factor: 3.683

7.  Epizootic hemorrhagic disease in cattle, Western Turkey.

Authors:  Ethem Mutlu Temizel; Kadir Yesilbag; Carrie Batten; Sezgin Senturk; Narender S Maan; Peter Paul Clement Mertens; Hasan Batmaz
Journal:  Emerg Infect Dis       Date:  2009-02       Impact factor: 6.883

8.  Seroepidemiological study of west nile virus and rift valley Fever virus in some of Mammalian species (herbivores) in northern Turkey.

Authors:  Harun Albayrak; Emre Ozan
Journal:  J Arthropod Borne Dis       Date:  2013-04-10       Impact factor: 1.198

9.  West Nile virus risk assessment and the bridge vector paradigm.

Authors:  A Marm Kilpatrick; Laura D Kramer; Scott R Campbell; E Oscar Alleyne; Andrew P Dobson; Peter Daszak
Journal:  Emerg Infect Dis       Date:  2005-03       Impact factor: 6.883

Review 10.  Bed bugs and infectious disease: a case for the arboviruses.

Authors:  Zach N Adelman; Dini M Miller; Kevin M Myles
Journal:  PLoS Pathog       Date:  2013-08-15       Impact factor: 6.823

View more
  2 in total

1.  Seroprevalence Study on West Nile Virus (WNV) Infection, a Hidden Viral Disease in Fars Province, Southern Iran.

Authors:  Masoumeh Amin; Morteza Zaim; Hamideh Edalat; Hamid Reza Basseri; Mohammad Reza Yaghoobi-Ershadi; Farhad Rezaei; Kourosh Azizi; Mostafa Salehi-Vaziri; Mohsen Ghane; Saideh Yousefi; Sorna Dabaghmanesh; Sedigheh Kheirandish; Mohammad Esmaeil Najafi; Jalal Mohammadi
Journal:  J Arthropod Borne Dis       Date:  2020-06-30       Impact factor: 1.198

2.  Sentinel serosurveillance of backyard hens proved West Nile virus circulation in the western provinces of Turkey.

Authors:  Harun Albayrak; Ismail Sahindokuyucu; Bahadir Muftuoglu; Cuneyt Tamer; Hamza Kadi; Emre Ozan; Ozge Yilmaz; Hamza Kilic; Hanne Nur Kurucay; Fethiye Coven; Semra Gumusova; Zafer Yazici; Ahmed Eisa Elhag
Journal:  Vet Med Sci       Date:  2021-07-29
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.