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Korean J. Vet. Serv. 2023; 46(2): 115-122
Published online June 30, 2023
https://doi.org/10.7853/kjvs.2023.46.2.115
© The Korean Socitety of Veterinary Service
Correspondence to : Yeonsu Oh
E-mail: yeonoh@kangwon.ac.kr
https://orcid.org/0000-0001-5743-5396
Ho-Seong Cho
E-mail: hscho@jbnu.ac.kr
https://orcid.org/0000-0001-7443-167X
†These first two authors contributed equally to this work.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0). which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study was performed to investigate the distribution of mosquito vectors related to the zoonotic disease in Daejeon. Samples were taken using a blacklight trap once a month from March to November 2021 at the slaughterhouse in Daejeon. A total of 820 mosquitoes were captured and classified into 5 genera and 8 species. Among the collected mosquitoes, 319 (38.9%) and 295 (35.93%) were Aedes vexans nipponii and Culex pipiens pallens, respectively, making them the dominant species. The overall number of mosquitoes collected started to increase from May and reached the largest value of 329 (40.12%) in June. Trapped mosquitoes are created 72 pools by environmental condition and by species. The pools were tested by PCR methods for 7 zoonotic pathogens. Flaviviruspositive products were confirmed by DNA sequencing. Japanese encephalitis viruses were detected in 3 pools collected from cow lairage (Culex pipiens pallens) in May, cow by-product processing room (Aedes vexans nipponii) in June and cow lairage (Mansonia uniformis) in June. Culex flavivirus were detected in 4 pools. Based on the results of this study, it is considered that continous surveillence of mosquitoes in livestock assembly facilities (slaughterhouse) should be performed for controlling mosquito populations and mediating disease spread by mosquitoes.
Keywords Mosquito, Mosquito-borne zoonosis, Japanese encephalitis, Flavivirus, Slaughterhouse
Earth’s climate is constantly changing. Currently, the Earth is in a warming phase for about three centuries, preceded by an earlier Little Ice Age and a Medieval Warm Period (Reiter, 2001). Although these changes have occurred naturally, recent global warming has been attributed to human activities, with the average global temperature rising about 0.7℃ over the past 100 years. Many researchers estimate that global average temperatures will increase by 1∼3.5℃ by the end of the 21st century. It is the result of a variety of human activities, including excessive fossil fuel use, agricultural land growth, deforestation, and industrialization (Yi et al, 2014). This increase in temperature causes not only regional climate change but also global change, which in turn affects various physical and biological systems.
There are various problems caused by global warming, such as inundation of some islands due to sea level rise, ecosystem disturbance, and endangered species, but among them, the spread of diseases due to the spread of insect vectors due to climate change is a major problem (Patz et al, 2005). Insect vectors are insects that can be carriers of zoonotic diseases, such as mosquitoes, ticks, flies, and fleas. These insect vectors breed in areas suitable for life cycles and climatic factors are most suitable. Increases in temperature generally increase the proliferation of insect vectors and shorten the incubation period of viruses in the body, thereby increasing viral amplification. As a result, the probability of disease transmission and occurrence is increased (Wilson et al, 2017). Therefore, climate and environmental changes caused by global warming cause mosquitoes to occur and blood-sucking activities appear not only in summer but also in winter, and increase damage caused by mosquitoes (Yeom, 2017). Infectious diseases transmitted by these mosquitoes include malaria, Japanese encephalitis, dengue fever, and West Nile fever.
Although human has continuously tried to block and eradicate mosquito-borne diseases such as malaria through the development of preventive vaccines and environmental improvement, it is still threatened by various infectious diseases transmitted through mosquitoes. In Korea, infectious diseases such as Japanese encephalitis and malaria were prevalent in the past, but they have greatly decreased since the 1970s through continuous efforts. Malaria was once eradicated, and Japanese encephalitis preventive vaccines were introduced in 1971, resulting in a sharp decline in the number of patients. However, since 1993, a re-emergence of malaria has occurred every year, and this pattern is also seen in Japanese encephalitis (CDC, 2021).
In addition, with the increase in overseas travelers, mosquito-borne infectious diseases imported from abroad are increasing, and dengue fever is rapidly spreading. Dengue fever is an infectious disease transmitted by the bite of Aedes mosquitoes infected with the dengue virus, which exposes more than half of the population to the risk of dengue fever and causes up to 400 million patients every year (Mangold and Reynolds, 2013). There are five serotypes of dengue virus, and since immunity is developed only for each serotype, re-infection with another serotype is possible. The vectors of dengue fever are Aedes aegypti and Aedes albopictus, which inhabit all regions of Korea. If the number of imported cases continues to increase and the climatic conditions change, there is a high possibility of native infection in Korea, and such cases have already appeared in France and Japan (Kutsuna et al, 2015; Quam et al, 2016; Succo et al, 2016).
The reason why mosquito-borne infectious diseases are increasing and diversifying is because the number of imported cases is increasing along with changes in vector ecosystems, urbanization, and herd immunity due to global climate change. Therefore, it is considered necessary to investigate the current distribution status of domestic mosquitoes and pathogens according to climate change. Mosquitoes, which are the main carriers of vector-transmitted infectious diseases, have higher blood-sucking habits in livestock than in humans. Considering these characteristics, this study aims to contribute to blocking the transmission of mosquito-borne infectious diseases by investigating the distribution of mosquitoes and the actual status of zoonosis infection in slaughterhouses, which are livestock gathering facilities in large cities.
Mosquitoes were collected once a month from one slaughterhouse (3 locations: cow lairage, pig lairage, cow by-product processing room) in the Daejeon area for 9 months from March to November in 2021. Mosquitoes were collected for 48 hours after installing a pyloric lamp (Blackhole plus, Biotrap Co., Korea). The collected mosquitoes were morphologically classified and identified using a stereoscopic microscope (SZ61, Olympus Co., Tokyo, Japan). After identification, a maximum of 30 mosquitoes were placed in a 2 mL tube for grinding containing 2 mm zirconia beads and stored at −70℃ until pathogen testing.
1 mL of sterilized PBS (phosphate buffer saline) was put in a grinding tube, and then ground twice for 20 seconds at 5,000 rpm using an automatic homogenizer (Precellys 24 tissue homogenizer, Bertin Technologies Co., Bretonneux, France), and then left in the refrigerator. Thereafter, the homogenizer tube was centrifuged at 13,000 rpm for 1 minute in a refrigerated centrifuge, and the gene was extracted using the TANBead Nucleic Acid Extraction Kit (Taiwan Advanced Nanotech Inc., Taiwan) according to the method provided by the manufacturer.
Nested PCR and real-time PCR were performed to confirm the infection of the collected mosquitoes with pathogens (malaria, chikungunia, 5 types of flavivirus: dengue fever, West Nile fever, Japanese encephalitis, Zika virus, and yellow fever). Primer compositions for detecting malaria and flavivirus genes are shown in Table 1.
Table 1 . Information of PCR primers
Step | Primer | Species | Sequence (5’→3’) | Diagnostic size |
---|---|---|---|---|
1st PCR | rPLU5 | Plasmodium species | CCTGTTGTTGCCTTAAACTTC | 1,100 bp |
rPLU6 | TTAAAATTGTTGCAGTTAAAACG | |||
2nd PCR | rVIV1 | CGCTTCTAGCTTAATCCACATAACTGATAC | 120 bp | |
rVIV2 | ACTTCCAAGCCGAAGCAAAGAAAGTCCTTA | |||
Flavivirus PCR | PFlav-fAAR | Flavivirus | TACAACATGATGGGAAAGAGAGAGAARAA | 265 bp |
PFlav-rKR | GTGTCCCAKCCRGCTGTGTCATC | |||
Chikungunya virus PCR | 10294f | Chikungunya virus | ACGCAATTGAGCGAAGCACAT | 300 bp |
10573r | AAATTGTCCTGGTCTTCCTG |
The rPLU5/rPLU6 genus-specific primer set was used to detect the PLU gene of malaria (
AccuPower Customized Dual-HotStart RT-qPCR PreMix kit (Bioneer Co., Daejeon, Korea) was used to detect chikungunya virus genes. According to the manufacturer’s instructions, 5 μL of template DNA was added to prepare a PCR reaction solution with a final volume of 20 μL. The probe has FAM bound to the receptor dye and BHQ1 bound to the quancher dye. Real-time RT-PCR was performed using 7500 Fast Real-Time PCR System (Applied Biosystems Co., Massachusetts, US) according to manufacturer’s instructions.
PFlav-fAAR and PFlav-rKR primers targeting the NS5 region were used to detect flavivirus genes. The reaction mixture comprised 25 μL solution including 0.25 μL of vero enzyme mix, 12.5 μL of 1-step qPCR SYBR ROX mix, 1.25 μL of RT enhancer, 2.5 μL of 1uM primer mix, 3.5 μL of RNase-free water, and 5 μL of RNA. Real-time PT-PCR was performed using 7500 Fast Real-Time PCR System by referring to the condition from the previous study (Yang et al, 2010). After real-time PCR, melt curve analysis was performed to determine whether the fluorescence signal seen in the amplification plot analysis was a virus-specific product, a primer dimer, or a non-specific product (Patel et al, 2013). For positive controls, Japanese encephalitis virus, westnile virus, and zika virus were received from the Animal and Plant Quarantine Agency in Korea.
For sequencing analysis, PCR was performed with real-time RT-PCR products. The PCR primer is the same as the real-time RT-PCR primer. The reaction mixture comprised 50 μL solution including 1X optimized DyNAzyme EXT buffer 5 μL, 200 uM dNTP mix 1 μL, 0.5uM Primer mix 2.5 μL, DyNAzyme EXT DNA polymerase 1 μL, real-time RT-PCR product 1 μL and 39.5 μL of RNase-free water. The thermocycling profile for PCR was 94℃ for 2 min, followed by 35 cycles of 94℃ for 30 sec, 58℃ for 30 sec, 72℃ for 30 sec with final extension at 72℃ for 5 min using Veriti Thermal Cycler.
The amplified product (265 bp) was confirmed using an automated electrophoresis system (QIAxcel advanced system, QIAGEN Co., Hilden, Germany). The amplification product was sent to Bioneer Co. (Daejeon, Korea) for gene sequencing, and the gene sequencing was analyzed using NCBI-BLAST.
Meteorological conditions by locations were averaged from data obtained from the slaughterhouse. The meteorological conditions from March to November are shown in Table 2. A total of 820 mosquitoes belonging to 5 genera and 8 species were collected from 3 locations in the slaughterhouse in the Daejeon for 9 months from March to November 2021. Among the 8 species, there were two species of
Table 2 . Meteorological condition in the slaughterhouse from March to November in 2021
Location | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | |
---|---|---|---|---|---|---|---|---|---|---|
Cow lairage | a | 21 | 17.2 | 21.9 | 25.7 | 27.8 | 36.7 | 27.7 | 17.1 | 15.7 |
b | 46 | 41 | 41 | 68 | 78 | 46 | 53 | 45 | 52 | |
Pig lairage | a | 21.3 | 18.5 | 21 | 26.7 | 27.3 | 26.9 | 28.5 | 20.2 | 13.8 |
b | 54 | 47 | 51 | 69 | 79 | 87 | 57 | 47 | 84.6 | |
Cow by-product processing room | a | 21.3 | 16.1 | 21.9 | 25.3 | 29.3 | 31 | 27.2 | 18.2 | 12.8 |
b | 41 | 44 | 46 | 70 | 75 | 76 | 61 | 46 | 63 | |
Exterior | 8.0∼18.4 | 3.2∼17.3 | 11.1∼25.7 | 20.9∼30.5 | 23.4∼31.0 | 22.6∼32.0 | 20.1∼28.5 | 4.6∼16.2 | 1.5∼16.8 |
a, temperature (℃); b, humidity (%).
Table 3 . Seasonal and species prevalence of mosquitoes collected by black light trap
Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Total* | |
---|---|---|---|---|---|---|---|---|---|---|
1 (0.12) | - | - | 3 (0.37) | 48 (5.85) | 17 (2.07) | 41 (5.0) | - | - | 110 (13.41) | |
2 (0.24) | - | 1 (0.12) | - | 9 (1.1) | - | - | 1 (0.12) | - | 13 (1.59) | |
1 (0.12) | 5 (0.61) | 12 (1.46) | 51 (6.22) | 17 (2.07) | 7 (0.85) | 185 (22.56) | 5 (0.61) | 12 (1.46) | 295 (35.93) | |
1 (0.12) | - | - | - | - | 1 (0.12) | 15 (1.83) | 2 (0.24) | - | 19 (2.32) | |
- | - | - | 14 (1.71) | - | - | - | - | - | 14 (1.71) | |
- | - | - | - | - | - | 1 (0.12) | - | - | 1 (0.12) | |
- | - | 1 (0.12) | 223 (27.2) | 29 (3.54) | 12 (1.46) | 54 (6.59) | - | - | 319 (38.9) | |
- | - | 5 (0.61) | 38 (4.63) | 2 (0.24) | 1 (0.12) | 3 (0.37) | - | - | 49 (5.93) | |
Total | 5 (0.61) | 5 (0.61) | 19 (2.32) | 329 (40.12) | 105 (12.8) | 38 (4.63) | 299 (36.46) | 8 (0.93) | 12 (1.46) | 820 (100) |
*Percentage for total collected in each month.
By month, the largest number of mosquitoes was collected in June with 329 (40.12%), followed by September with 299 (36.46%) and July with 105 (12.8%) (Table 3).
Comparing the number of mosquitoes collected by location, 340 (41.46%) were collected from the cow by-products processing room, 323 (39.39%) from the cattle lairage, and 157 (19.15%) from the pig lairage (Table 4).
Table 4 . Seasonal and locational prevalence of mosquitoes collected by black light trap
Location | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Total* |
---|---|---|---|---|---|---|---|---|---|---|
Cow lairage | 1 (0.12) | 2 (0.24) | 15 (1.83) | 217 (26.46) | 9 (1.1) | 1 (0.12) | 72 (8.78) | 1 (0.12) | 5 (0.61) | 323 (39.39) |
Pig lairage | 3 (0.37) | 2 (0.24) | - | 67 (8.17) | 25 (3.05) | 2 (0.24) | 54 (6.59) | 2 (0.24) | 2 (0.24) | 157 (19.15) |
Cow by-product processing room | 1 (0.12) | 1 (0.12) | 4 (0.49) | 45 (5.49) | 71 (8.66) | 35 (4.27) | 173 (21.1) | 5 (0.61) | 5 (0.61) | 340 (41.46) |
Total | 5 (0.61) | 5 (0.61) | 19 (2.32) | 329 (40.12) | 105 (12.8) | 38 (4.63) | 299 (36.46) | 8 (0.98) | 12 (1.46) | 820 (100) |
*Percentage for total collected in each month.
After 820 collected mosquitoes were classified by month, collection site, and mosquito species, they were grouped into 72 pools to check whether they contained malaria, chikungunia, or flavivirus. Malaria and chikungunia were not detected, but 7 pools of flavivirus were detected.
As a result of sequencing confirmation, 3 pools of Japanese encephalitis and 4 pools of
The minimal infection rate (MIR) of Japanese encephalitis virus was 3.390 in
Table 5 . Comparison of the minimum infection rate (MIR) of Japanese encephalitis by species
Species | No. of mosquito | No. of pools | Positive pool | MIR* |
---|---|---|---|---|
110 | 10 | |||
13 | 6 | |||
295 | 21 | 1 | 3.390 | |
19 | 5 | |||
14 | 3 | 1 | 71.429 | |
1 | 1 | |||
319 | 21 | 1 | 3.135 | |
49 | 6 | |||
Total | 820 | 72 |
*Minimum Infection Rate (MIR)=(number of positive samples/total number of mosquitoes tested)×1,000.
This study investigated the distribution of mosquito species in the slaughterhouse in Daejeon and examined the presence of 7 zoonotic diseases. As a result of classifying 820 mosquitoes collected from March to November 2021 by species, the dominant species was
According to the Daejeon Vector Mosquito Monitoring Project, the number of mosquitoes collected began to increase from June 2021, and the largest number of mosquitoes caught was from late July to early August. However, in this study, most mosquitoes were collected in the order of June, September, and July. In June, there was little precipitation and the temperature rose faster than usual due to the late rainy season, which increased the density of mosquitoes. However, in July and August, the number of mosquitoes appears to have decreased due to the loss of mosquito habitat and limited activity time of adults due to heavy precipitation (Park et al, 2018). Generally, in urban areas artificial habitats such as puddles, plastic bottles, and tires that provide habitats and wintering grounds for larvae have a great influence on mosquito ecology, so they are relatively less affected by rainfall. However, it is believed that slaughterhouses are heavily influenced by the environment because they are located in rural or suburban areas (Gleiser and Zalazar, 2010).
Japanese encephalitis infection is not expected to increase explosively because there are preventive vaccines for children and adults, and vaccination is performed according to the basic vaccination schedule for children. However, Japanese encephalitis advisories were issued in May from 1999 to 2004, in April from 2005 to 2019, and in March from 2020. This indicates that the time of emergence of
Dengue fever, chikungunia fever, and Zika virus infection have no cases of native infection in Korea, but the situation is highly likely to change as mosquito vectors live and
Since mosquitoes have a higher animal preference and livestock are included as hosts of various mosquito-borne infectious diseases, mosquito research on the slaughterhouse should be continuously conducted. In addition, investigations in the slaughterhouse are thought to be good for monitoring diseases because mosquitoes gather not only in one region, but throughout the country. As a result, it can be used as basic data for predicting infectious diseases and can be used to establish measures for mosquito control and prevention of infectious diseases.
This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through Animal Disease Management Technology Advancement Support Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (Project No. 122013-2).
No potential conflict of interest relevant to this article was reported.
Korean J. Vet. Serv. 2023; 46(2): 115-122
Published online June 30, 2023 https://doi.org/10.7853/kjvs.2023.46.2.115
Copyright © The Korean Socitety of Veterinary Service.
Youngju Kim 1†, Gyurae Kim 2†, Sunkyong Song 1, Youngshik Jung 1, Seojin Park 1, Sang-Joon Lee 2, Ho-Seong Cho 3*, Yeonsu Oh 2*
1Daejeon Institute of Health and Environment Division of Animal Health, Daejeon 34142, Korea
2College of Veterinary Medicine and Institute of Veterinary Science, Kangwon National University, Chuncheon 24341, Korea
3College of Veterinary Medicine and Bio-Safety Research Institute, Jeonbuk National University, Iksan 54596, Korea
Correspondence to:Yeonsu Oh
E-mail: yeonoh@kangwon.ac.kr
https://orcid.org/0000-0001-5743-5396
Ho-Seong Cho
E-mail: hscho@jbnu.ac.kr
https://orcid.org/0000-0001-7443-167X
†These first two authors contributed equally to this work.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0). which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study was performed to investigate the distribution of mosquito vectors related to the zoonotic disease in Daejeon. Samples were taken using a blacklight trap once a month from March to November 2021 at the slaughterhouse in Daejeon. A total of 820 mosquitoes were captured and classified into 5 genera and 8 species. Among the collected mosquitoes, 319 (38.9%) and 295 (35.93%) were Aedes vexans nipponii and Culex pipiens pallens, respectively, making them the dominant species. The overall number of mosquitoes collected started to increase from May and reached the largest value of 329 (40.12%) in June. Trapped mosquitoes are created 72 pools by environmental condition and by species. The pools were tested by PCR methods for 7 zoonotic pathogens. Flaviviruspositive products were confirmed by DNA sequencing. Japanese encephalitis viruses were detected in 3 pools collected from cow lairage (Culex pipiens pallens) in May, cow by-product processing room (Aedes vexans nipponii) in June and cow lairage (Mansonia uniformis) in June. Culex flavivirus were detected in 4 pools. Based on the results of this study, it is considered that continous surveillence of mosquitoes in livestock assembly facilities (slaughterhouse) should be performed for controlling mosquito populations and mediating disease spread by mosquitoes.
Keywords: Mosquito, Mosquito-borne zoonosis, Japanese encephalitis, Flavivirus, Slaughterhouse
Earth’s climate is constantly changing. Currently, the Earth is in a warming phase for about three centuries, preceded by an earlier Little Ice Age and a Medieval Warm Period (Reiter, 2001). Although these changes have occurred naturally, recent global warming has been attributed to human activities, with the average global temperature rising about 0.7℃ over the past 100 years. Many researchers estimate that global average temperatures will increase by 1∼3.5℃ by the end of the 21st century. It is the result of a variety of human activities, including excessive fossil fuel use, agricultural land growth, deforestation, and industrialization (Yi et al, 2014). This increase in temperature causes not only regional climate change but also global change, which in turn affects various physical and biological systems.
There are various problems caused by global warming, such as inundation of some islands due to sea level rise, ecosystem disturbance, and endangered species, but among them, the spread of diseases due to the spread of insect vectors due to climate change is a major problem (Patz et al, 2005). Insect vectors are insects that can be carriers of zoonotic diseases, such as mosquitoes, ticks, flies, and fleas. These insect vectors breed in areas suitable for life cycles and climatic factors are most suitable. Increases in temperature generally increase the proliferation of insect vectors and shorten the incubation period of viruses in the body, thereby increasing viral amplification. As a result, the probability of disease transmission and occurrence is increased (Wilson et al, 2017). Therefore, climate and environmental changes caused by global warming cause mosquitoes to occur and blood-sucking activities appear not only in summer but also in winter, and increase damage caused by mosquitoes (Yeom, 2017). Infectious diseases transmitted by these mosquitoes include malaria, Japanese encephalitis, dengue fever, and West Nile fever.
Although human has continuously tried to block and eradicate mosquito-borne diseases such as malaria through the development of preventive vaccines and environmental improvement, it is still threatened by various infectious diseases transmitted through mosquitoes. In Korea, infectious diseases such as Japanese encephalitis and malaria were prevalent in the past, but they have greatly decreased since the 1970s through continuous efforts. Malaria was once eradicated, and Japanese encephalitis preventive vaccines were introduced in 1971, resulting in a sharp decline in the number of patients. However, since 1993, a re-emergence of malaria has occurred every year, and this pattern is also seen in Japanese encephalitis (CDC, 2021).
In addition, with the increase in overseas travelers, mosquito-borne infectious diseases imported from abroad are increasing, and dengue fever is rapidly spreading. Dengue fever is an infectious disease transmitted by the bite of Aedes mosquitoes infected with the dengue virus, which exposes more than half of the population to the risk of dengue fever and causes up to 400 million patients every year (Mangold and Reynolds, 2013). There are five serotypes of dengue virus, and since immunity is developed only for each serotype, re-infection with another serotype is possible. The vectors of dengue fever are Aedes aegypti and Aedes albopictus, which inhabit all regions of Korea. If the number of imported cases continues to increase and the climatic conditions change, there is a high possibility of native infection in Korea, and such cases have already appeared in France and Japan (Kutsuna et al, 2015; Quam et al, 2016; Succo et al, 2016).
The reason why mosquito-borne infectious diseases are increasing and diversifying is because the number of imported cases is increasing along with changes in vector ecosystems, urbanization, and herd immunity due to global climate change. Therefore, it is considered necessary to investigate the current distribution status of domestic mosquitoes and pathogens according to climate change. Mosquitoes, which are the main carriers of vector-transmitted infectious diseases, have higher blood-sucking habits in livestock than in humans. Considering these characteristics, this study aims to contribute to blocking the transmission of mosquito-borne infectious diseases by investigating the distribution of mosquitoes and the actual status of zoonosis infection in slaughterhouses, which are livestock gathering facilities in large cities.
Mosquitoes were collected once a month from one slaughterhouse (3 locations: cow lairage, pig lairage, cow by-product processing room) in the Daejeon area for 9 months from March to November in 2021. Mosquitoes were collected for 48 hours after installing a pyloric lamp (Blackhole plus, Biotrap Co., Korea). The collected mosquitoes were morphologically classified and identified using a stereoscopic microscope (SZ61, Olympus Co., Tokyo, Japan). After identification, a maximum of 30 mosquitoes were placed in a 2 mL tube for grinding containing 2 mm zirconia beads and stored at −70℃ until pathogen testing.
1 mL of sterilized PBS (phosphate buffer saline) was put in a grinding tube, and then ground twice for 20 seconds at 5,000 rpm using an automatic homogenizer (Precellys 24 tissue homogenizer, Bertin Technologies Co., Bretonneux, France), and then left in the refrigerator. Thereafter, the homogenizer tube was centrifuged at 13,000 rpm for 1 minute in a refrigerated centrifuge, and the gene was extracted using the TANBead Nucleic Acid Extraction Kit (Taiwan Advanced Nanotech Inc., Taiwan) according to the method provided by the manufacturer.
Nested PCR and real-time PCR were performed to confirm the infection of the collected mosquitoes with pathogens (malaria, chikungunia, 5 types of flavivirus: dengue fever, West Nile fever, Japanese encephalitis, Zika virus, and yellow fever). Primer compositions for detecting malaria and flavivirus genes are shown in Table 1.
Table 1 . Information of PCR primers.
Step | Primer | Species | Sequence (5’→3’) | Diagnostic size |
---|---|---|---|---|
1st PCR | rPLU5 | Plasmodium species | CCTGTTGTTGCCTTAAACTTC | 1,100 bp |
rPLU6 | TTAAAATTGTTGCAGTTAAAACG | |||
2nd PCR | rVIV1 | CGCTTCTAGCTTAATCCACATAACTGATAC | 120 bp | |
rVIV2 | ACTTCCAAGCCGAAGCAAAGAAAGTCCTTA | |||
Flavivirus PCR | PFlav-fAAR | Flavivirus | TACAACATGATGGGAAAGAGAGAGAARAA | 265 bp |
PFlav-rKR | GTGTCCCAKCCRGCTGTGTCATC | |||
Chikungunya virus PCR | 10294f | Chikungunya virus | ACGCAATTGAGCGAAGCACAT | 300 bp |
10573r | AAATTGTCCTGGTCTTCCTG |
The rPLU5/rPLU6 genus-specific primer set was used to detect the PLU gene of malaria (
AccuPower Customized Dual-HotStart RT-qPCR PreMix kit (Bioneer Co., Daejeon, Korea) was used to detect chikungunya virus genes. According to the manufacturer’s instructions, 5 μL of template DNA was added to prepare a PCR reaction solution with a final volume of 20 μL. The probe has FAM bound to the receptor dye and BHQ1 bound to the quancher dye. Real-time RT-PCR was performed using 7500 Fast Real-Time PCR System (Applied Biosystems Co., Massachusetts, US) according to manufacturer’s instructions.
PFlav-fAAR and PFlav-rKR primers targeting the NS5 region were used to detect flavivirus genes. The reaction mixture comprised 25 μL solution including 0.25 μL of vero enzyme mix, 12.5 μL of 1-step qPCR SYBR ROX mix, 1.25 μL of RT enhancer, 2.5 μL of 1uM primer mix, 3.5 μL of RNase-free water, and 5 μL of RNA. Real-time PT-PCR was performed using 7500 Fast Real-Time PCR System by referring to the condition from the previous study (Yang et al, 2010). After real-time PCR, melt curve analysis was performed to determine whether the fluorescence signal seen in the amplification plot analysis was a virus-specific product, a primer dimer, or a non-specific product (Patel et al, 2013). For positive controls, Japanese encephalitis virus, westnile virus, and zika virus were received from the Animal and Plant Quarantine Agency in Korea.
For sequencing analysis, PCR was performed with real-time RT-PCR products. The PCR primer is the same as the real-time RT-PCR primer. The reaction mixture comprised 50 μL solution including 1X optimized DyNAzyme EXT buffer 5 μL, 200 uM dNTP mix 1 μL, 0.5uM Primer mix 2.5 μL, DyNAzyme EXT DNA polymerase 1 μL, real-time RT-PCR product 1 μL and 39.5 μL of RNase-free water. The thermocycling profile for PCR was 94℃ for 2 min, followed by 35 cycles of 94℃ for 30 sec, 58℃ for 30 sec, 72℃ for 30 sec with final extension at 72℃ for 5 min using Veriti Thermal Cycler.
The amplified product (265 bp) was confirmed using an automated electrophoresis system (QIAxcel advanced system, QIAGEN Co., Hilden, Germany). The amplification product was sent to Bioneer Co. (Daejeon, Korea) for gene sequencing, and the gene sequencing was analyzed using NCBI-BLAST.
Meteorological conditions by locations were averaged from data obtained from the slaughterhouse. The meteorological conditions from March to November are shown in Table 2. A total of 820 mosquitoes belonging to 5 genera and 8 species were collected from 3 locations in the slaughterhouse in the Daejeon for 9 months from March to November 2021. Among the 8 species, there were two species of
Table 2 . Meteorological condition in the slaughterhouse from March to November in 2021.
Location | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | |
---|---|---|---|---|---|---|---|---|---|---|
Cow lairage | a | 21 | 17.2 | 21.9 | 25.7 | 27.8 | 36.7 | 27.7 | 17.1 | 15.7 |
b | 46 | 41 | 41 | 68 | 78 | 46 | 53 | 45 | 52 | |
Pig lairage | a | 21.3 | 18.5 | 21 | 26.7 | 27.3 | 26.9 | 28.5 | 20.2 | 13.8 |
b | 54 | 47 | 51 | 69 | 79 | 87 | 57 | 47 | 84.6 | |
Cow by-product processing room | a | 21.3 | 16.1 | 21.9 | 25.3 | 29.3 | 31 | 27.2 | 18.2 | 12.8 |
b | 41 | 44 | 46 | 70 | 75 | 76 | 61 | 46 | 63 | |
Exterior | 8.0∼18.4 | 3.2∼17.3 | 11.1∼25.7 | 20.9∼30.5 | 23.4∼31.0 | 22.6∼32.0 | 20.1∼28.5 | 4.6∼16.2 | 1.5∼16.8 |
a, temperature (℃); b, humidity (%)..
Table 3 . Seasonal and species prevalence of mosquitoes collected by black light trap.
Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Total* | |
---|---|---|---|---|---|---|---|---|---|---|
1 (0.12) | - | - | 3 (0.37) | 48 (5.85) | 17 (2.07) | 41 (5.0) | - | - | 110 (13.41) | |
2 (0.24) | - | 1 (0.12) | - | 9 (1.1) | - | - | 1 (0.12) | - | 13 (1.59) | |
1 (0.12) | 5 (0.61) | 12 (1.46) | 51 (6.22) | 17 (2.07) | 7 (0.85) | 185 (22.56) | 5 (0.61) | 12 (1.46) | 295 (35.93) | |
1 (0.12) | - | - | - | - | 1 (0.12) | 15 (1.83) | 2 (0.24) | - | 19 (2.32) | |
- | - | - | 14 (1.71) | - | - | - | - | - | 14 (1.71) | |
- | - | - | - | - | - | 1 (0.12) | - | - | 1 (0.12) | |
- | - | 1 (0.12) | 223 (27.2) | 29 (3.54) | 12 (1.46) | 54 (6.59) | - | - | 319 (38.9) | |
- | - | 5 (0.61) | 38 (4.63) | 2 (0.24) | 1 (0.12) | 3 (0.37) | - | - | 49 (5.93) | |
Total | 5 (0.61) | 5 (0.61) | 19 (2.32) | 329 (40.12) | 105 (12.8) | 38 (4.63) | 299 (36.46) | 8 (0.93) | 12 (1.46) | 820 (100) |
*Percentage for total collected in each month..
By month, the largest number of mosquitoes was collected in June with 329 (40.12%), followed by September with 299 (36.46%) and July with 105 (12.8%) (Table 3).
Comparing the number of mosquitoes collected by location, 340 (41.46%) were collected from the cow by-products processing room, 323 (39.39%) from the cattle lairage, and 157 (19.15%) from the pig lairage (Table 4).
Table 4 . Seasonal and locational prevalence of mosquitoes collected by black light trap.
Location | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Total* |
---|---|---|---|---|---|---|---|---|---|---|
Cow lairage | 1 (0.12) | 2 (0.24) | 15 (1.83) | 217 (26.46) | 9 (1.1) | 1 (0.12) | 72 (8.78) | 1 (0.12) | 5 (0.61) | 323 (39.39) |
Pig lairage | 3 (0.37) | 2 (0.24) | - | 67 (8.17) | 25 (3.05) | 2 (0.24) | 54 (6.59) | 2 (0.24) | 2 (0.24) | 157 (19.15) |
Cow by-product processing room | 1 (0.12) | 1 (0.12) | 4 (0.49) | 45 (5.49) | 71 (8.66) | 35 (4.27) | 173 (21.1) | 5 (0.61) | 5 (0.61) | 340 (41.46) |
Total | 5 (0.61) | 5 (0.61) | 19 (2.32) | 329 (40.12) | 105 (12.8) | 38 (4.63) | 299 (36.46) | 8 (0.98) | 12 (1.46) | 820 (100) |
*Percentage for total collected in each month..
After 820 collected mosquitoes were classified by month, collection site, and mosquito species, they were grouped into 72 pools to check whether they contained malaria, chikungunia, or flavivirus. Malaria and chikungunia were not detected, but 7 pools of flavivirus were detected.
As a result of sequencing confirmation, 3 pools of Japanese encephalitis and 4 pools of
The minimal infection rate (MIR) of Japanese encephalitis virus was 3.390 in
Table 5 . Comparison of the minimum infection rate (MIR) of Japanese encephalitis by species.
Species | No. of mosquito | No. of pools | Positive pool | MIR* |
---|---|---|---|---|
110 | 10 | |||
13 | 6 | |||
295 | 21 | 1 | 3.390 | |
19 | 5 | |||
14 | 3 | 1 | 71.429 | |
1 | 1 | |||
319 | 21 | 1 | 3.135 | |
49 | 6 | |||
Total | 820 | 72 |
*Minimum Infection Rate (MIR)=(number of positive samples/total number of mosquitoes tested)×1,000..
This study investigated the distribution of mosquito species in the slaughterhouse in Daejeon and examined the presence of 7 zoonotic diseases. As a result of classifying 820 mosquitoes collected from March to November 2021 by species, the dominant species was
According to the Daejeon Vector Mosquito Monitoring Project, the number of mosquitoes collected began to increase from June 2021, and the largest number of mosquitoes caught was from late July to early August. However, in this study, most mosquitoes were collected in the order of June, September, and July. In June, there was little precipitation and the temperature rose faster than usual due to the late rainy season, which increased the density of mosquitoes. However, in July and August, the number of mosquitoes appears to have decreased due to the loss of mosquito habitat and limited activity time of adults due to heavy precipitation (Park et al, 2018). Generally, in urban areas artificial habitats such as puddles, plastic bottles, and tires that provide habitats and wintering grounds for larvae have a great influence on mosquito ecology, so they are relatively less affected by rainfall. However, it is believed that slaughterhouses are heavily influenced by the environment because they are located in rural or suburban areas (Gleiser and Zalazar, 2010).
Japanese encephalitis infection is not expected to increase explosively because there are preventive vaccines for children and adults, and vaccination is performed according to the basic vaccination schedule for children. However, Japanese encephalitis advisories were issued in May from 1999 to 2004, in April from 2005 to 2019, and in March from 2020. This indicates that the time of emergence of
Dengue fever, chikungunia fever, and Zika virus infection have no cases of native infection in Korea, but the situation is highly likely to change as mosquito vectors live and
Since mosquitoes have a higher animal preference and livestock are included as hosts of various mosquito-borne infectious diseases, mosquito research on the slaughterhouse should be continuously conducted. In addition, investigations in the slaughterhouse are thought to be good for monitoring diseases because mosquitoes gather not only in one region, but throughout the country. As a result, it can be used as basic data for predicting infectious diseases and can be used to establish measures for mosquito control and prevention of infectious diseases.
This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through Animal Disease Management Technology Advancement Support Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (Project No. 122013-2).
No potential conflict of interest relevant to this article was reported.
Table 1 . Information of PCR primers.
Step | Primer | Species | Sequence (5’→3’) | Diagnostic size |
---|---|---|---|---|
1st PCR | rPLU5 | Plasmodium species | CCTGTTGTTGCCTTAAACTTC | 1,100 bp |
rPLU6 | TTAAAATTGTTGCAGTTAAAACG | |||
2nd PCR | rVIV1 | CGCTTCTAGCTTAATCCACATAACTGATAC | 120 bp | |
rVIV2 | ACTTCCAAGCCGAAGCAAAGAAAGTCCTTA | |||
Flavivirus PCR | PFlav-fAAR | Flavivirus | TACAACATGATGGGAAAGAGAGAGAARAA | 265 bp |
PFlav-rKR | GTGTCCCAKCCRGCTGTGTCATC | |||
Chikungunya virus PCR | 10294f | Chikungunya virus | ACGCAATTGAGCGAAGCACAT | 300 bp |
10573r | AAATTGTCCTGGTCTTCCTG |
Table 2 . Meteorological condition in the slaughterhouse from March to November in 2021.
Location | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | |
---|---|---|---|---|---|---|---|---|---|---|
Cow lairage | a | 21 | 17.2 | 21.9 | 25.7 | 27.8 | 36.7 | 27.7 | 17.1 | 15.7 |
b | 46 | 41 | 41 | 68 | 78 | 46 | 53 | 45 | 52 | |
Pig lairage | a | 21.3 | 18.5 | 21 | 26.7 | 27.3 | 26.9 | 28.5 | 20.2 | 13.8 |
b | 54 | 47 | 51 | 69 | 79 | 87 | 57 | 47 | 84.6 | |
Cow by-product processing room | a | 21.3 | 16.1 | 21.9 | 25.3 | 29.3 | 31 | 27.2 | 18.2 | 12.8 |
b | 41 | 44 | 46 | 70 | 75 | 76 | 61 | 46 | 63 | |
Exterior | 8.0∼18.4 | 3.2∼17.3 | 11.1∼25.7 | 20.9∼30.5 | 23.4∼31.0 | 22.6∼32.0 | 20.1∼28.5 | 4.6∼16.2 | 1.5∼16.8 |
a, temperature (℃); b, humidity (%)..
Table 3 . Seasonal and species prevalence of mosquitoes collected by black light trap.
Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Total* | |
---|---|---|---|---|---|---|---|---|---|---|
1 (0.12) | - | - | 3 (0.37) | 48 (5.85) | 17 (2.07) | 41 (5.0) | - | - | 110 (13.41) | |
2 (0.24) | - | 1 (0.12) | - | 9 (1.1) | - | - | 1 (0.12) | - | 13 (1.59) | |
1 (0.12) | 5 (0.61) | 12 (1.46) | 51 (6.22) | 17 (2.07) | 7 (0.85) | 185 (22.56) | 5 (0.61) | 12 (1.46) | 295 (35.93) | |
1 (0.12) | - | - | - | - | 1 (0.12) | 15 (1.83) | 2 (0.24) | - | 19 (2.32) | |
- | - | - | 14 (1.71) | - | - | - | - | - | 14 (1.71) | |
- | - | - | - | - | - | 1 (0.12) | - | - | 1 (0.12) | |
- | - | 1 (0.12) | 223 (27.2) | 29 (3.54) | 12 (1.46) | 54 (6.59) | - | - | 319 (38.9) | |
- | - | 5 (0.61) | 38 (4.63) | 2 (0.24) | 1 (0.12) | 3 (0.37) | - | - | 49 (5.93) | |
Total | 5 (0.61) | 5 (0.61) | 19 (2.32) | 329 (40.12) | 105 (12.8) | 38 (4.63) | 299 (36.46) | 8 (0.93) | 12 (1.46) | 820 (100) |
*Percentage for total collected in each month..
Table 4 . Seasonal and locational prevalence of mosquitoes collected by black light trap.
Location | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Total* |
---|---|---|---|---|---|---|---|---|---|---|
Cow lairage | 1 (0.12) | 2 (0.24) | 15 (1.83) | 217 (26.46) | 9 (1.1) | 1 (0.12) | 72 (8.78) | 1 (0.12) | 5 (0.61) | 323 (39.39) |
Pig lairage | 3 (0.37) | 2 (0.24) | - | 67 (8.17) | 25 (3.05) | 2 (0.24) | 54 (6.59) | 2 (0.24) | 2 (0.24) | 157 (19.15) |
Cow by-product processing room | 1 (0.12) | 1 (0.12) | 4 (0.49) | 45 (5.49) | 71 (8.66) | 35 (4.27) | 173 (21.1) | 5 (0.61) | 5 (0.61) | 340 (41.46) |
Total | 5 (0.61) | 5 (0.61) | 19 (2.32) | 329 (40.12) | 105 (12.8) | 38 (4.63) | 299 (36.46) | 8 (0.98) | 12 (1.46) | 820 (100) |
*Percentage for total collected in each month..
Table 5 . Comparison of the minimum infection rate (MIR) of Japanese encephalitis by species.
Species | No. of mosquito | No. of pools | Positive pool | MIR* |
---|---|---|---|---|
110 | 10 | |||
13 | 6 | |||
295 | 21 | 1 | 3.390 | |
19 | 5 | |||
14 | 3 | 1 | 71.429 | |
1 | 1 | |||
319 | 21 | 1 | 3.135 | |
49 | 6 | |||
Total | 820 | 72 |
*Minimum Infection Rate (MIR)=(number of positive samples/total number of mosquitoes tested)×1,000..
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