Insect-Specific Flaviviruses from Collected Mosqitoes in An Giang Province, Viet Nam

An Giang province, located in the Mekong delta of Vietnam, has an intricate river system that has facilitated the development of wet rice cultivation and livestock production.However, the increasing of argicultual practise also increased the favorable environment for mosquito development.It also increases the risk of disease transmitted between animals and humans via mosquito vectors.Therefore, the aims of this study were (i) knowing the mosquito species currently circulated around animal and human shetles in the province (ii) detecting the virus naturally infected mosquito species in the research areas.The study was conducted by collecting mosquitoes in animal shetles and residental area.The collected mosquitoes were identified based on their morphological characteristics, then were used for virus isolation.A total 5,662 mosquitoes involving at least 15 species of 5 genera were collected.Culex were the major genus, other genera as Aedes, Anopheles, Armigeres, and Mansonia were also collected but lower percentage.Among those collected mosquitoes, Culex tritaeniorhynchus was the most dominant species (75.2%).Culex flavivirus and Quang Binh virus were isolated from the collected mosquitoes, however both isolated viruses were insect-specific flaviviruses and might not transmit diseases to human.

Authors

Publication Details

Journal
Journal of Bacteriology and Virology
Published
2024-09-30
DOI
https://doi.org/10.4167/jbv.2024.54.3.225
Primary Topic
Plant Parasitism and Resistance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Insect-Specific Flaviviruses from Collected Mosqitoes in An Giang Province, Viet Nam

Duy Tien, Cuong Nguyen Huu, Nguyen Thi Kim, Ngo Thuy Bao Tran et al.
Journal of Bacteriology and Virology
Plant Parasitism and Resistance
article

Insect-Specific Flaviviruses from Collected Mosqitoes in An Giang Province, Viet Nam

Duy Tien, Cuong Nguyen Huu, Nguyen Thi Kim, Ngo Thuy Bao Tran, Lê Thị Thu Hiền, Ho Xuan Nghiep, Pham Xuan Phu, Tran Huynh Tan
article en

Abstract

An Giang province, located in the Mekong delta of Vietnam, has an intricate river system that has facilitated the development of wet rice cultivation and livestock production.However, the increasing of argicultual practise also increased the favorable environment for mosquito development.It also increases the risk of disease transmitted between animals and humans via mosquito vectors.Therefore, the aims of this study were (i) knowing the mosquito species currently circulated around animal and human shetles in the province (ii) detecting the virus naturally infected mosquito species in the research areas.The study was conducted by collecting mosquitoes in animal shetles and residental area.The collected mosquitoes were identified based on their morphological characteristics, then were used for virus isolation.A total 5,662 mosquitoes involving at least 15 species of 5 genera were collected.Culex were the major genus, other genera as Aedes, Anopheles, Armigeres, and Mansonia were also collected but lower percentage.Among those collected mosquitoes, Culex tritaeniorhynchus was the most dominant species (75.2%).Culex flavivirus and Quang Binh virus were isolated from the collected mosquitoes, however both isolated viruses were insect-specific flaviviruses and might not transmit diseases to human.

Journal of Bacteriology and VirologyVol. 54(3)
Viet Nam National University Ho Chi Minh City
Openalex Percentile: Top 90%
Plant Parasitism and Resistance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.