|
|
GEO help: Mouse over screen elements for information. |
|
Status |
Public on Nov 22, 2021 |
Title |
Antiviral RNA interference in disease vector (Asian longhorned) ticks |
Organism |
Haemaphysalis longicornis |
Experiment type |
Non-coding RNA profiling by high throughput sequencing
|
Summary |
Tick-borne diseases (TBDs) are the most common illnesses transmitted by ticks, and the annual number of reported TBD cases continues to increase. The Asian longhorned tick, a vector associated with at least 30 human pathogens, is native to eastern Asia and recently reached the USA as an emerging disease threat. Newly identified tick-transmitted pathogens continue to be reported, raising concerns about how TBDs occur. Interestingly, tick can harbor pathogens without being affected themselves. For viral infections, ticks have their own immune systems that protect them from infection. Meanwhile, tick-borne viruses have evolved to avoid these defenses as they establish themselves within the vector. Here, we show in detail that infecting longhorned ticks with distinct arthropod-borne RNA viruses through two approaches natural blood feeding and injection, all induce the production of vsiRNAs. Dicer2-like homolog plays a role in regulating antiviral RNAi responses as knocking down of this gene enhanced viral replication. Furthermore, we demonstrate that tick antiviral RNAi responses are inhibited through expression heterologous VSR proteins in recombinant SINV. We identify both the virus and tick factors are critical components to understanding TBDs. Importantly, our study introduces a novel, in vivo virus-vector-mouse model system for exploring TBDs in the future.
|
|
|
Overall design |
15 virus-derived small RNA from Haemaphysalis longicornis tick infected with different viruses was detected by small RNA-seq.
|
|
|
Contributor(s) |
Xu Y, Zhong Z, Ren Y, Ma L, Ye Z, Gao C, Wang J, Li Y |
Citation missing |
Has this study been published? Please login to update or notify GEO. |
Submission date |
Oct 08, 2020 |
Last update date |
Nov 24, 2021 |
Contact name |
Yang Li |
E-mail(s) |
yangli15@fudan.edu.cn
|
Organization name |
Fudan University
|
Street address |
2005 Songhu Road
|
City |
Shanghai |
ZIP/Postal code |
200433 |
Country |
China |
|
|
Platforms (2) |
GPL25900 |
Illumina HiSeq 2000 (Haemaphysalis longicornis) |
GPL29237 |
Illumina HiSeq 2500 (Haemaphysalis longicornis) |
|
Samples (15)
|
|
Relations |
BioProject |
PRJNA668182 |
SRA |
SRP286811 |
Supplementary file |
Size |
Download |
File type/resource |
GSE159277_RAW.tar |
3.1 Mb |
(http)(custom) |
TAR (of TXT) |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
|
|
|
|
|