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Comparative transcriptome and potential antiviral signaling pathways analysis of the gills in the red swamp crayfish, Procambarus clarkii infected with White Spot Syndrome Virus (WSSV)

Overview of attention for article published in Genetics and Molecular Biology, February 2017
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Title
Comparative transcriptome and potential antiviral signaling pathways analysis of the gills in the red swamp crayfish, Procambarus clarkii infected with White Spot Syndrome Virus (WSSV)
Published in
Genetics and Molecular Biology, February 2017
DOI 10.1590/1678-4685-gmb-2016-0133
Pubmed ID
Authors

Zhi-Qiang Du, Yan-Hui Jin

Abstract

Red swamp crayfish is an important model organism for research of the invertebrate innate immunity mechanism. Its excellent disease resistance against bacteria, fungi, and viruses is well-known. However, the antiviral mechanisms of crayfish remain unclear. In this study, we obtained high-quality sequence reads from normal and white spot syndrome virus (WSSV)-challenged crayfish gills. For group normal (GN), 39,390,280 high-quality clean reads were randomly assembled to produce 172,591 contigs; whereas, 34,011,488 high-quality clean reads were randomly assembled to produce 182,176 contigs for group WSSV-challenged (GW). After GO annotations analysis, a total of 35,539 (90.01%), 14,931 (37.82%), 28,221 (71.48%), 25,290 (64.05%), 15,595 (39.50%), and 13,848 (35.07%) unigenes had significant matches with sequences in the Nr, Nt, Swiss-Prot, KEGG, COG and GO databases, respectively. Through the comparative analysis between GN and GW, 12,868 genes were identified as differentially up-regulated DEGs, and 9,194 genes were identified as differentially down-regulated DEGs. Ultimately, these DEGs were mapped into different signaling pathways, including three important signaling pathways related to innate immunity responses. These results could provide new insights into crayfish antiviral immunity mechanism.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Brazil 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Student > Ph. D. Student 3 17%
Student > Doctoral Student 2 11%
Other 2 11%
Student > Postgraduate 2 11%
Other 3 17%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 39%
Environmental Science 3 17%
Biochemistry, Genetics and Molecular Biology 2 11%
Social Sciences 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 3 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 February 2017.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#408
of 772 outputs
Outputs of similar age
#209,775
of 323,273 outputs
Outputs of similar age from Genetics and Molecular Biology
#8
of 13 outputs
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