| Literature DB >> 26728767 |
Jana Pietschmann1, Lina Mur2, Sandra Blome3, Martin Beer4, Ricardo Pérez-Sánchez5, Ana Oleaga6, José Manuel Sánchez-Vizcaíno7.
Abstract
BACKGROUND: African swine fever (ASF) is one of the most complex viral diseases affecting both domestic and wild pigs. It is caused by ASF virus (ASFV), the only DNA virus which can be efficiently transmitted by an arthropod vector, soft ticks of the genus Ornithodoros. These ticks can be part of ASFV-transmission cycles, and in Europe, O. erraticus was shown to be responsible for long-term maintenance of ASFV in Spain and Portugal. In 2014, the disease has been reintroduced into the European Union, affecting domestic pigs and, importantly, also the Eurasian wild boar population. In a first attempt to assess the risk of a tick-wild boar transmission cycle in Central Europe that would further complicate eradication of the disease, over 700 pre-existing serum samples from wild boar hunted in four representative German Federal States were investigated for the presence of antibodies directed against salivary antigen of Ornithodoros erraticus ticks using an indirect ELISA format.Entities:
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Year: 2016 PMID: 26728767 PMCID: PMC4698789 DOI: 10.1186/s12917-015-0629-9
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Classification matrix according to the sample to positive ratio (SP)
| SP | Category | Definition |
|---|---|---|
| <10 | 0 | Negligible probability of tick presence |
| 11–30 | + | Medium probability of tick presence |
| 31–50 | ++ | High probability of tick presence |
| >50 | +++ | Very high probability of tick presence |
Fig. 1Origin of German wild boar sera analyzed utilizing the indirect antibody ELISA against salivary gland extract of O. erraticus ticks. Sampled areas are highlighted in grey and positive results are indicated by category in the adjacent table. Categorization of sera is done according to the sample to positive ratio (SP). The categories reflect the potential presence of Ornithodoros ticks in the respective regions from “negligible (0)” to “very likely (+++)” as defined in Table 1. NRW = North Rhine-Westphalia; RP = Rhineland-Palatinate; MWP = Mecklenburg-Western Pomarania; BB = Brandenburg. Copyright for the map by Geobasis-DE / BKG / GeoNutzV