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The influence of trematode parasite burden on gene expression in a mammalian host

Overview of attention for article published in BMC Genomics, August 2016
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Title
The influence of trematode parasite burden on gene expression in a mammalian host
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-2950-5
Pubmed ID
Authors

Bhagya K. Wijayawardena, Dennis J. Minchella, J. Andrew DeWoody

Abstract

Parasites can profoundly impact their hosts and are responsible for a plethora of debilitating diseases. To identify global changes in host gene expression related to parasite infection, we sequenced, assembled, and annotated the liver transcriptomes of Balb/cj mice infected with the trematode parasite Schistosoma mansoni and compared the results to uninfected mice. We used two different methodologies (i.e. de novo and reference guided) to evaluate the influence of parasite sequences on host transcriptome assembly. Our results demonstrate that the choice of assembly methodology significantly impacted the proportion of parasitic reads detected from the host library, yet the presence of non-target (xenobiotic) sequences did not create significant structural errors in the assembly. After removing parasite sequences from the mouse transcriptomes, we analyzed host gene expression under different parasite infection levels and observed significant differences in the associated immunologic and metabolic responses based on infection level. In particular, genes associated with T-helper type 1 (Th-1) and T-helper type 2 (Th-2) were up-regulated in infected mice whereas genes related to amino acid and carbohydrate metabolism were down-regulated in infected mice. These changes in gene expression scale with infection status and likely impact the evolutionary fitness of hosts. Overall, our data indicate that a) infected mice reduce the expression of key metabolic genes in direct proportion to their infection level; b) infected mice similarly increase the expression of key immune genes in response to infection; c) patterns of gene expression correspond to the pathological symptoms of schistosomiasis; and d) identifying and filtering out non-target sequences (xenobiotics) improves differential expression prediction. Our findings identify parasite targets for RNAi or other therapies and provide a better understanding of the pathology and host immune repertoire involved in response to S. mansoni infections.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Bachelor 5 14%
Student > Master 3 9%
Professor > Associate Professor 3 9%
Other 2 6%
Other 5 14%
Unknown 7 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 34%
Biochemistry, Genetics and Molecular Biology 8 23%
Veterinary Science and Veterinary Medicine 2 6%
Immunology and Microbiology 2 6%
Engineering 2 6%
Other 3 9%
Unknown 6 17%
Attention Score in Context

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 26 October 2018.
All research outputs
#12,963,262
of 22,882,389 outputs
Outputs from BMC Genomics
#4,576
of 10,668 outputs
Outputs of similar age
#182,298
of 355,869 outputs
Outputs of similar age from BMC Genomics
#104
of 265 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,668 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 355,869 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 265 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 59% of its contemporaries.