ESTABLISHING THE RISK OF WEST NILE VIRUS TRANSMISSION THROUGH MOSQUITO BITES USING THE DIGITAL PCR AND REAL TIME PCR METHODS

West Nile virus (WNV) is a re-emerging zoonotic pathogen which is a threat to both human and animal health. In Europe, there has been a marked expansion of WNV outbreaks in recent decades, causing more than 2000 symptomatic cases in 2018 alone. Winter temperatures between 2°C and 6°C were one of the strongest predictors of annual West Nile virus infections; a possible explanation for this result is that successful overwintering of infected adult mosquitoes (probably Culex pipiens) is the key to the intensity of outbreaks in the following year. The aim of the study was to compare the two diagnostic methods Real-Time PCR and dPCR, used in the detection of West NILE virus in mosquito vectors. Between April 2023 and June 2024, mosquitoes were captured from the Danube Delta area and from the north-eastern part of Romania in the city of Iasi, using the New Standard Miniature Incandescent Light Trap, model 1012. After morphological identification, mosquitoes were separated according to Culex pipiens species. Pools of 30 mosquitoes per pool were made, being tested for the presence of the West Nile virus. The advanced dPCR method was used to detect West Nile virus. Digital™ PCR (dPCR™) is an innovative technology that provides ultrasensitive nucleic acid detection and absolute quantification. It is very effective for resolving low-abundance targets, such as very small amounts of virus inside mosquito vectors.

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Publication Details

Journal
Scientific Papers Journal VETERINARY SERIES
Published
2024-12-13
DOI
https://doi.org/10.61900/spjvs.2024.04.06
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
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article

ESTABLISHING THE RISK OF WEST NILE VIRUS TRANSMISSION THROUGH MOSQUITO BITES USING THE DIGITAL PCR AND REAL TIME PCR METHODS

O. C. Iacob, Larisa IVĂNESCU, Liviu Miron, Raluca MÎNDRU et al.
Scientific Papers Journal VETERINARY SERIES
Mosquito-borne diseases and control
article

ESTABLISHING THE RISK OF WEST NILE VIRUS TRANSMISSION THROUGH MOSQUITO BITES USING THE DIGITAL PCR AND REAL TIME PCR METHODS

O. C. Iacob, Larisa IVĂNESCU, Liviu Miron, Raluca MÎNDRU, Gabriela-Victoria MARTINESCU, Dumitru Acatrinei, Lavinia ANDRONIC
article en

Abstract

West Nile virus (WNV) is a re-emerging zoonotic pathogen which is a threat to both human and animal health. In Europe, there has been a marked expansion of WNV outbreaks in recent decades, causing more than 2000 symptomatic cases in 2018 alone. Winter temperatures between 2°C and 6°C were one of the strongest predictors of annual West Nile virus infections; a possible explanation for this result is that successful overwintering of infected adult mosquitoes (probably Culex pipiens) is the key to the intensity of outbreaks in the following year. The aim of the study was to compare the two diagnostic methods Real-Time PCR and dPCR, used in the detection of West NILE virus in mosquito vectors. Between April 2023 and June 2024, mosquitoes were captured from the Danube Delta area and from the north-eastern part of Romania in the city of Iasi, using the New Standard Miniature Incandescent Light Trap, model 1012. After morphological identification, mosquitoes were separated according to Culex pipiens species. Pools of 30 mosquitoes per pool were made, being tested for the presence of the West Nile virus. The advanced dPCR method was used to detect West Nile virus. Digital™ PCR (dPCR™) is an innovative technology that provides ultrasensitive nucleic acid detection and absolute quantification. It is very effective for resolving low-abundance targets, such as very small amounts of virus inside mosquito vectors.

Scientific Papers Journal VETERINARY SERIESVol. 67(4)
Openalex Percentile: Top 60%
Mosquito-borne diseases and control
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ESTABLISHING THE RISK OF WEST NILE VIRUS TRANSMISSION THROUGH MOSQUITO BITES USING THE DIGITAL PCR AND REAL TIME PCR METHODS — O. C. Iacob, Larisa IVĂNESCU, et al. · Scientific Papers Journal VETERINARY SERIES (2024) | TGRS Research Map | TGRS