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A novel approach to wildlife transcriptomics provides evidence of disease‐mediated differential expression and changes to the microbiome of amphibian populations

Overview of attention for article published in Molecular Ecology, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

blogs
1 blog
twitter
9 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
99 Mendeley
Title
A novel approach to wildlife transcriptomics provides evidence of disease‐mediated differential expression and changes to the microbiome of amphibian populations
Published in
Molecular Ecology, March 2018
DOI 10.1111/mec.14528
Pubmed ID
Authors

Lewis J. Campbell, Stewart A. Hammond, Stephen J. Price, Manmohan D. Sharma, Trenton W. J. Garner, Inanc Birol, Caren C. Helbing, Lena Wilfert, Amber G. F. Griffiths

Abstract

Ranaviruses are responsible for a lethal, emerging infectious disease in amphibians and threaten their populations throughout the world. Despite this, little is known about how amphibian populations respond to ranaviral infection. In the United Kingdom, ranaviruses impact the common frog (Rana temporaria). Extensive public engagement in the study of ranaviruses in the UK has led to the formation of a unique system of field sites containing frog populations of known ranaviral disease history. Within this unique natural field system, we used RNA sequencing (RNA-Seq) to compare the gene expression profiles of R. temporaria populations with a history of ranaviral disease and those without. We have applied a RNA read filtering protocol that incorporates Bloom filters, previously used in clinical settings, to limit the potential for contamination that comes with the use of RNA-Seq in non-laboratory systems. We have identified a suite of 407 transcripts that are differentially expressed between populations of different ranaviral disease history. This suite contains genes with functions related to immunity, development, protein transport and olfactory reception amongst others. A large proportion of potential non-coding RNA transcripts present in our differentially expressed set provides first evidence of a possible role for long non-coding RNA (lncRNA) in amphibian response to viruses. Our read-filtering approach also removed significantly more bacterial reads from libraries generated from postitive disease history populations. Subsequent analysis revealed these bacterial read sets to represent distinct communities of bacterial species, which is suggestive of an interaction between ranavirus and the host microbiome in the wild. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 29%
Student > Master 18 18%
Researcher 15 15%
Student > Bachelor 12 12%
Other 5 5%
Other 11 11%
Unknown 9 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 53%
Environmental Science 11 11%
Biochemistry, Genetics and Molecular Biology 11 11%
Immunology and Microbiology 5 5%
Veterinary Science and Veterinary Medicine 2 2%
Other 7 7%
Unknown 11 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 14 March 2019.
All research outputs
#2,765,339
of 24,885,505 outputs
Outputs from Molecular Ecology
#1,464
of 6,649 outputs
Outputs of similar age
#56,508
of 335,031 outputs
Outputs of similar age from Molecular Ecology
#41
of 110 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,649 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 77% 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 335,031 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.