Identification and characterization of Jingmen tick virus in rodents from Xinjiang, China
Jingmen tick virus (JMTV) is a recently identified virus which provides an unexpected connection between segmented and unsegmented RNA viruses. Recent investigations reveal that JMTV including JMTV-like virus (Alongshan virus) could be associated with human disease, suggesting the significance of JM...
Published in: | Infection, Genetics and Evolution |
---|---|
Main Authors: | , , , , , , , , , |
Format: | Text |
Language: | English |
Published: |
Published by Elsevier B.V.
2020
|
Subjects: | |
Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283072/ https://doi.org/10.1016/j.meegid.2020.104411 |
id |
ftpubmed:oai:pubmedcentral.nih.gov:7283072 |
---|---|
record_format |
openpolar |
spelling |
ftpubmed:oai:pubmedcentral.nih.gov:7283072 2023-05-15T17:12:36+02:00 Identification and characterization of Jingmen tick virus in rodents from Xinjiang, China Yu, Zhu-Mei Chen, Jin-Tao Qin, Jing Guo, Jing-Jing Li, Kun Xu, Qi-Yi Wang, Wen Lu, Miao Qin, Xin-Cheng Zhang, Yong-Zhen 2020-06-10 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283072/ https://doi.org/10.1016/j.meegid.2020.104411 en eng Published by Elsevier B.V. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283072/ http://dx.doi.org/10.1016/j.meegid.2020.104411 © 2020 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. Infect Genet Evol Article Text 2020 ftpubmed https://doi.org/10.1016/j.meegid.2020.104411 2020-06-14T00:44:32Z Jingmen tick virus (JMTV) is a recently identified virus which provides an unexpected connection between segmented and unsegmented RNA viruses. Recent investigations reveal that JMTV including JMTV-like virus (Alongshan virus) could be associated with human disease, suggesting the significance of JMTV in public health. To better understand the genetic diversity and host range of JMTV, a total of 164 rodents representing 8 species were collected in Qapqal Xibe county of Xinjiang Uygur Autonomous Region, China, and were screened for JMTVs using RT- PCR. Consequently, JMTV was identified in 42 rodents including 23 Microtus arvalis voles (24.5%), 9 Apodemus uralensis mice (29.0%), 5 Mus musculus mice, 1 Rhombomys opimus gerbil, 1 Meriones tamariscinus gerbil, 1 Meriones libycus gerbil, 1 Cricetulus migratorius hamster and 1 Microtus gregalis vole. Interestingly, nearly complete genome sequences were successfully recovered from 7 JMTV positive samples. Although the newly identified rodent JMTVs were closely related to those previously identified in ticks from China, based on the phylogenetic analysis of the S1, S2 and S3 segments, the newly identified rodent viruses clustered into two genetic groups. One group comprised of viruses only found in M. arvalis, while another group included viruses from A. uralensis, C. migratorius and M. gregalis. However, all rodent viruses clustered together in the S4 tree. Considering rodents live in close proximity to humans, more efforts are needed to investigate the role of rodents in the evolution and transmission of JMTV in nature. Text Microtus arvalis PubMed Central (PMC) Infection, Genetics and Evolution 84 104411 |
institution |
Open Polar |
collection |
PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Article |
spellingShingle |
Article Yu, Zhu-Mei Chen, Jin-Tao Qin, Jing Guo, Jing-Jing Li, Kun Xu, Qi-Yi Wang, Wen Lu, Miao Qin, Xin-Cheng Zhang, Yong-Zhen Identification and characterization of Jingmen tick virus in rodents from Xinjiang, China |
topic_facet |
Article |
description |
Jingmen tick virus (JMTV) is a recently identified virus which provides an unexpected connection between segmented and unsegmented RNA viruses. Recent investigations reveal that JMTV including JMTV-like virus (Alongshan virus) could be associated with human disease, suggesting the significance of JMTV in public health. To better understand the genetic diversity and host range of JMTV, a total of 164 rodents representing 8 species were collected in Qapqal Xibe county of Xinjiang Uygur Autonomous Region, China, and were screened for JMTVs using RT- PCR. Consequently, JMTV was identified in 42 rodents including 23 Microtus arvalis voles (24.5%), 9 Apodemus uralensis mice (29.0%), 5 Mus musculus mice, 1 Rhombomys opimus gerbil, 1 Meriones tamariscinus gerbil, 1 Meriones libycus gerbil, 1 Cricetulus migratorius hamster and 1 Microtus gregalis vole. Interestingly, nearly complete genome sequences were successfully recovered from 7 JMTV positive samples. Although the newly identified rodent JMTVs were closely related to those previously identified in ticks from China, based on the phylogenetic analysis of the S1, S2 and S3 segments, the newly identified rodent viruses clustered into two genetic groups. One group comprised of viruses only found in M. arvalis, while another group included viruses from A. uralensis, C. migratorius and M. gregalis. However, all rodent viruses clustered together in the S4 tree. Considering rodents live in close proximity to humans, more efforts are needed to investigate the role of rodents in the evolution and transmission of JMTV in nature. |
format |
Text |
author |
Yu, Zhu-Mei Chen, Jin-Tao Qin, Jing Guo, Jing-Jing Li, Kun Xu, Qi-Yi Wang, Wen Lu, Miao Qin, Xin-Cheng Zhang, Yong-Zhen |
author_facet |
Yu, Zhu-Mei Chen, Jin-Tao Qin, Jing Guo, Jing-Jing Li, Kun Xu, Qi-Yi Wang, Wen Lu, Miao Qin, Xin-Cheng Zhang, Yong-Zhen |
author_sort |
Yu, Zhu-Mei |
title |
Identification and characterization of Jingmen tick virus in rodents from Xinjiang, China |
title_short |
Identification and characterization of Jingmen tick virus in rodents from Xinjiang, China |
title_full |
Identification and characterization of Jingmen tick virus in rodents from Xinjiang, China |
title_fullStr |
Identification and characterization of Jingmen tick virus in rodents from Xinjiang, China |
title_full_unstemmed |
Identification and characterization of Jingmen tick virus in rodents from Xinjiang, China |
title_sort |
identification and characterization of jingmen tick virus in rodents from xinjiang, china |
publisher |
Published by Elsevier B.V. |
publishDate |
2020 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283072/ https://doi.org/10.1016/j.meegid.2020.104411 |
genre |
Microtus arvalis |
genre_facet |
Microtus arvalis |
op_source |
Infect Genet Evol |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283072/ http://dx.doi.org/10.1016/j.meegid.2020.104411 |
op_rights |
© 2020 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
op_doi |
https://doi.org/10.1016/j.meegid.2020.104411 |
container_title |
Infection, Genetics and Evolution |
container_volume |
84 |
container_start_page |
104411 |
_version_ |
1766069388923895808 |