| Literature DB >> 26497350 |
Grzegorz Woźniakowski1, Edyta Kozak2, Andrzej Kowalczyk2, Magdalena Łyjak2, Małgorzata Pomorska-Mól2, Krzysztof Niemczuk3, Zygmunt Pejsak2.
Abstract
African swine fever virus (ASFV) was detected in wild boar in eastern Poland in early 2014. So far, 65 cases of ASFV infection in wild boar have been recognised. The methods used for ASFV detection included highly specific real-time PCR with a universal probe library (UPL), enzyme-linked immunosorbent assay (ELISA), and an immunoperoxidase test (IPT) for identification of anti-ASFV antibodies. The positive ASF cases were located near the border with Belarus in Sokółka and Białystok counties. Some of the countermeasures for disease prevention include early ASF diagnosis by ASFV DNA identification as well as detection of specific antibodies by systematic screening. The aim of this study was to assess the current ASF status in a Polish population of wild boar during the last two years (2014-2015).Entities:
Keywords: African swine fever virus; Diagnosis; Epidemiology; Wild boar
Mesh:
Year: 2015 PMID: 26497350 PMCID: PMC4698278 DOI: 10.1007/s00705-015-2650-5
Source DB: PubMed Journal: Arch Virol ISSN: 0304-8608 Impact factor: 2.574
Fig. 2Distance of ASFV-positive animals from the Belarusian border (A) and comparison of mean cycle threshold values (CT) from particular cases (B). The graph shows the relative DNA concentration is samples collected from particular cases and outbreaks of ASFV. The CT value for C26 reached 40.00 and is absent from the graph. The localization of particular cases shows a negative correlation between distance and transfer of ASFV infection
Positive results for samples collected from wild boar (cases) between 2014 and 2015 using real-time PCR UPL, ELISA and IPT assays
| Case (C)/number | Location (nearest town) | Location (county) | Collection date | Sample origin (D-dead, H-hunted wild boar)/tissue | Mean real-time PCR cycle threshold value (CT) ± SD | ELISA result/OD ± SD | IPT result |
|---|---|---|---|---|---|---|---|
| C1 | Grzybowszczyzna | Sokółka | 18.02.2014 | D/bone | 30.63 ± 0.09 | N/A | N/A |
| C2 | Ozierany Wielkie | Sokółka | 25.03.2014 | D/blood and lung | 25.12 ± 8.22 | +/(0.81 ± 0.00) | - |
| C3 | Rudaki | Sokółka | 19.05.2014 | D/blood and spleen | 27.45 ± 5.11 | +/-/(1.15 ± 0.00) | N/A |
| C4 | Łosiniany | Sokółka | 29.05.2014 | D/blood and lung | 22.49 ± 0.23 | +/(0.96 ± 0.00) | N/A |
| C5 | Słoja | Sokółka | 24.06.2014 | D/spleen | 24.46 ± 3.20 | N/A | N/A |
| C6 | Bobrowniki | Białystok | 30.06.2014 | D/blood and spleen | 27.66 ± 4.54 | +/(0.52 ± 0.00) | + |
| C7 | Łużany | Białystok | 04.07.2014 | D/bone | 28.44 ± 0.00 | N/A | N/A |
| C8 | Wiejki/Zubry | Białystok | 08.07.2014 | D/bone | 28.32 ± 0.00 | N/A | N/A |
| C9 | Skroblaki | Białystok | 15.07.2014 | D/bone | 30.35 ± 0.00 | N/A | N/A |
| C10 | Gródek-Wiejki | Białystok | 29.07.2014 | D/bone | 25.28 ± 0.00 | N/A | N/A |
| C11 | Jałówka-Łupianka Nowa | Białystok | 29.07.2014 | D/bone | 22.72 ± 0.00 | N/A | N/A |
| C12 | Wiejki-Zubry | Białystok | 30.07.2014 | D/blood and spleen | 21.42 ± 2.12 | - | - |
| C13 | Horczaki Górne | Białystok | 21.08.2014 | D/blood and spleen | 28.93 ± 5.61 | - | - |
| C14 | Kolonia Mostowlany | Sokółka | 24.08.2014 | D/spleen and kidney | 25.55 ± 1.18 | N/A | N/A |
| C15 | Zaleszany Kolonia | Białystok | 12.09.2014 | D/spleen and kidney | 22.55 ± 0.00 | N/A | N/A |
| C16 | Straszewo | Białystok | 22.09.2014 | H/blood | 22.26 ± 0.00 | - | - |
| C17 | Nowosady Kolonia | Białystok | 04.10.2014 | D/blood and kidney | 23.56 ± 1.84 | - | - |
| C18 | Pieszczaniki | Białystok | 07.10.2014 | D/blood | 27.07 ± 3.51 | - | - |
| C19 | Wyżary | Białystok | 20.10.2014 | D/bone | 20.83 ± 0.00 | N/A | N/A |
| C20 | Zaleszany | Białystok | 11.11.2014 | H/blood | 38.50 ± 0.00 | +/(0.88 ± 0.01) | + |
| C21 | Wiejki | Białystok | 21.11.2014 | D/blood and spleen | 20.57 ± 1.32 | - | - |
| C22 | Ostrów Południowy/Górany | Białystok | 24.11.2014 | H/blood | 24.89 ± 0.00 | - | - |
| C23 | Mieleszki | Białystok | 30.11.2014 | H/blood | 32.17 ± 0.00 | +/(1.03 ± 0.00) | + |
| C24 | Piłatowszczyzna | Sokółka | 30.11.2014 | H/lung | 33.20 ± 0.00 | N/A | N/A |
| C25 | Podłaźnisko | Białystok | 02.12.2014 | D/spleen and kidney | 20.73 ± 2.40 | N/A | N/A |
| C26 | Mostowlany | Sokółka | 05.12.2014 | H/blood | 40.00 ± 0.00 | +/(0.31 ± 0.00) | + |
| C27 | Piłatowszczyzna | Białystok | 06.12.2014 | H/blood and lung | 25.33 ± 0.00 | - | - |
| C28 | Nowosady | Sokółka | 06.12.2014 | H/lung | 34.09 ± 0.00 | N/A | N/A |
| C29 | Grzybowce/Skroblaki | Białystok | 06.12.2014 | H/lung | 25.06 ± 0.38 | N/A | N/A |
| C30 | Podłaźnisko | Białystok | 23.12.2014 | D/blood, liver, spleen and kidney | 21.86 ± 0.00 | - | |
| C31 | Radunin | Białystok | 16.01.2015 | D/spleen | 17.64 ± 0.00 | N/A | N/A |
| C32 | Zadworzany | Sokółka | 02.02.2015 | D/blood, spleen kidney | 26.53 ± 7.50 | - | - |
| C33 | Piłatowszczyzna | Sokółka | 29.01.2015 | H/blood, and spleen | 24.00 ± 0.00 | - | - |
| C34 | Cisówka | Sokółka | 03.02.2015 | D/kidney | 24.45 ± 0.00 | N/A | N/A |
| C35 | Budy | Białystok | 05.02.2015 | D/spleen | 26.21 ± 5.20 | N/A | N/A |
| C36 | Wierzchlesie | Białystok | 13.02.2015 | D/bone | 29.86 ± 0.00 | N/A | N/A |
| C37 | Bielewicze | Białystok | 15.02.2015 | D/bone | 36.28 ± 0.00 | N/A | N/A |
| C38 | Kondratki | Sokółka | 16.02.2015 | D/bone | 31.46 ± 0.00 | N/A | N/A |
| C39 | Kolonia Bachury | Białystok | 02.03.2015 | D/bone | 27.86 ± 0.00 | N/A | N/A |
| C40 | Kondratki | Białystok | 07.03.2015 | D/spleen | 21.45 ± 0.00 | N/A | N/A |
| C41 | Majdan | Białystok | 10.03.2015 | D/spleen and kidney | 24.59 ± 0.00 | N/A | N/A |
| C42 | Bielewicze | Białystok | 15.03.2015 | D/blood and spleen | 24.52 ± 1.77 | +/(0.85 ± 0.01) | + |
| C43 | Narewka | Hajnowka | 19.03.2015 | D/blood and spleen | 27.93 ± 6.31 | - | - |
| C44 | Kolonia Cisówka | Białystok | 25.03.2015 | D/bone | 30.80 ± 2.70 | N/A | N/A |
| C45 | Biały Ług | Skololka | 25.03.2015 | D/blood, spleen, tonsils | 24.48 ± 2.49 | +/-/(1.15 ± 0.00) | - |
| C46 | Kolonia Cisowka | Białystok | 30.03.2015 | D/spleen | 21.37 ± 0.00 | N/A | N/A |
| C47 | Bielewicze | Białystok | 30.03.2015 | D/lung | 30.62 ± 2.58 | N/A | N/A |
| C48 | Straszewo | Białystok | 1.04.2015 | D/bone | 26.20 ± 0.00 | N/A | N/A |
| C49 | Cisowka | Białystok | 02.04.2015 | D/bone | 29.71 ± 0.00 | N/A | N/A |
| C50 | Kruglany | Sokółka | 05.04.2015 | D/blood, spleen and kidney | 26.32 ± 0.00 | - | N/A |
| C51 | Straszewo | Białystok | 09.04.2015 | D/bone | 37.74 ± 0.00 | N/A | N/A |
| C52 | Wierzchlesie | Sokółka | 10.04.2015 | D/spleen and tonsils | 23.36 ± 0.00 | N/A | N/A |
| C53 | Puciłki | Sokółka | 11.04.2015 | D/blood, spleen and tonsils | 25.30 ± 0.00 | - | N/A |
| C54 | Borsukowizna | Sokółka | 14.04.2015 | D/spleen and tonsils | 38.60 ± 0.00 | N/A | N/A |
| C55 | Straszewo | Białystok | 15.04.2015 | D/tonsils | 26.52 ± 0.80 | N/A | N/A |
| C56 | Juszkowy Gród | Białystok | 16.04.2015 | H/blood | 34.90 ± 0.00 | +/(0.26 ± 0.00) | + |
| C57 | Kolonia Mieleszki | Białystok | 18.04.2015 | H/blood | 32.14 ± 0.19 | +/(0.11 ± 0.00) | + |
| C58 | Krukowszczyzna | Białystok | 27.04.2015 | D/spleen and kidney | 26.94 ± 0.00 | N/A | N/A |
| C59 | Łaźnisko | Sokółka | 08.05.2015 | D/spleen and kidney | 24.02 ± 0.82 | N/A | N/A |
| C60 | Dzierniakowo | Białystok | 13.05.2015 | D/lung | 23.44 ± 0.83 | N/A | N/A |
| C61 | Nowosady | Białystok | 20.05.2015 | D/spleen | 23.02 ± 0.04 | N/A | N/A |
| C62 | Nowe Trzciano | Sokółka | 21.05.2015 | D/blood and spleen | 27.23 ± 0.00 | - | N/A |
| C63 | Cisówka | Białystok | 22.05.2015 | D/bone | 34.61 ± 0.00 | N/A | N/A |
| C64 | Planty | Białystok | 1.06.2015 | D/bone | 29.30 ± 3.05 | N/A | N/A |
| C65 | Dzierniakowo | Białystok | 2.06.2015 | D/bone | 25.12 ± 0.00 | N/A | N/A |
The case number, origin of each sample, localization, collection date and mean cycle threshold (CT) values with standard deviation (SD) are given. The ELISA results expressed as optical density (OD) are given. The ELISA and IPT results are provided where applicable. N/A, not applicable; SD, standard deviation. The sera originating from dead wild boar were retrieved from blood clots
Fig. 1Localisation of ASFV- positive animals. Blue, ASF risk area; yellow, protected area; red, restricted area; blue + red, infected area. The map originates from the resources of the General Veterinary Inspectorate, Warsaw, Poland. (color figure online)