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Research
Catherine Béatrice CETRE-SOSSAH
CIRAD
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0869-1681
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Arthropod borne virus infections cause several emerging and resurgent infectious diseases. Among the diseases caused by arboviruses, dengue and Rift Valley fever are responsible for a high rate of severe human diseases worldwide. Understanding the effects of viral infection on gene expression in the mosquito is crucial to the development of early diagnostic tools and may enable researchers and policy makers to better anticipate outbreaks in the next future.
Methods
Here we investigate the alterations in gene expression across the entire Aedes aegypti genome during infection with DENV and RVF over time.
Results
We describe several up-regulated genes that share a similar expression profile during infection with both viruses at early and late phases of infection. Family B and D clip-domain serine proteases (CLIP) are clearly overrepresented as well as C-type lectins and transferrin.
Conclusions
Our results provide an extensive amount of data highlighting viral gene targets in the mosquito during infection. This data may also be used to develop broad-spectrum anti-viral diagnostic tools based on mosquitoes rather than the mammalian hosts and would help to predict and manage the emergence of outbreaks.
Keywords
transcriptomic responses, Aedes aegypti, dengue, Rift Valley fever
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View the published article at Parasites & Vectors.
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On 03 Feb, 2020
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On 03 Feb, 2020
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Subject Areas
Parasitology
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at Parasites & Vectors.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Catherine Béatrice CETRE-SOSSAH
CIRAD
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0869-1681
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Parasites & Vectors.
Version 1
Posted 04 Feb, 2020
No community comments so far
First submitted
On 03 Feb, 2020
Editor invited
On 03 Feb, 2020
Editor assigned
On 03 Feb, 2020
Submission checks complete
On 02 Feb, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Parasitology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Parasites & Vectors.
Background
Arthropod borne virus infections cause several emerging and resurgent infectious diseases. Among the diseases caused by arboviruses, dengue and Rift Valley fever are responsible for a high rate of severe human diseases worldwide. Understanding the effects of viral infection on gene expression in the mosquito is crucial to the development of early diagnostic tools and may enable researchers and policy makers to better anticipate outbreaks in the next future.
Methods
Here we investigate the alterations in gene expression across the entire Aedes aegypti genome during infection with DENV and RVF over time.
Results
We describe several up-regulated genes that share a similar expression profile during infection with both viruses at early and late phases of infection. Family B and D clip-domain serine proteases (CLIP) are clearly overrepresented as well as C-type lectins and transferrin.
Conclusions
Our results provide an extensive amount of data highlighting viral gene targets in the mosquito during infection. This data may also be used to develop broad-spectrum anti-viral diagnostic tools based on mosquitoes rather than the mammalian hosts and would help to predict and manage the emergence of outbreaks.
Figure 1
Figure 2
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