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Novel insights into the insect trancriptome response to a natural DNA virus

Overview of attention for article published in BMC Genomics, April 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

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7 tweeters

Citations

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22 Dimensions

Readers on

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42 Mendeley
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Title
Novel insights into the insect trancriptome response to a natural DNA virus
Published in
BMC Genomics, April 2015
DOI 10.1186/s12864-015-1499-z
Pubmed ID
Authors

Seanna J McTaggart, Tidbury Hannah, Stephen Bridgett, Jennie S Garbutt, Gaganjot Kaur, Mike Boots

Abstract

Little is known about invertebrate responses to DNA viruses. Here, we infect a commercially important pest moth species Plodia interpunctella with its naturally infecting DNA virus. We sequenced, assembled and annotated the complete transcriptome of the moth, and a partial transcriptome of the virus. We then tested for differential gene expression between moths that were exposed to the virus and controls. We found 51 genes that were differentially expressed in moths exposed to a DNA baculovirus compared to controls. Gene set enrichment analysis revealed that cuticle proteins were significantly overrepresented in this group of genes. Interestingly, 6 of the 7 differentially expressed cuticle proteins were downregulated, suggesting that baculoviruses are able to manipulate its host's response. In fact, an additional 29 of the 51 genes were also downregulated in exposed compared with control animals, including a gram-negative binding protein. In contrast, genes involved in transposable element movement were upregulated after infection. We present the first experiment to measure genome-wide gene expression in an insect after infection with a natural DNA virus. Our results indicate that cuticle proteins might be key genes underpinning the response to DNA viruses. Furthermore, the large proportion of genes that were downregulated after viral exposure suggests that this virus is actively manipulating the insect immune response. Finally, it appears that transposable element activity might increase during viral invasion. Combined, these results provide much needed host candidate genes that respond to DNA viral invaders.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 2%
Switzerland 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Ph. D. Student 11 26%
Student > Master 5 12%
Student > Bachelor 4 10%
Student > Doctoral Student 2 5%
Other 5 12%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 57%
Biochemistry, Genetics and Molecular Biology 7 17%
Environmental Science 2 5%
Psychology 1 2%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 7 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 January 2016.
All research outputs
#10,456,460
of 19,208,681 outputs
Outputs from BMC Genomics
#3,943
of 9,730 outputs
Outputs of similar age
#98,616
of 239,585 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
Altmetric has tracked 19,208,681 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,730 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 239,585 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them