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  Pathway deregulation and expression QTLs in response to Actinobacillus pleuropneumoniae infection in swine

Reiner, G., Dreher, F., Drungowski, M., Hoeltig, D., Bertsch, N., Selke, M., et al. (2014). Pathway deregulation and expression QTLs in response to Actinobacillus pleuropneumoniae infection in swine. Mammalian Genome, 25(11-12), 600-617. doi:10.1007/s00335-014-9536-9.

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© 2014 Springer International Publishing AG, Part of Springer Science+Business Media
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Reiner, Gerald, Author
Dreher, Felix1, Author              
Drungowski, Mario, Author
Hoeltig, Doris, Author
Bertsch, Natalie, Author
Selke, Martin, Author
Willems, Hermann, Author
Gerlach, Gerald Friedrich, Author
Probst, Inga, Author
Tuemmler, Burkhardt, Author
Waldmann, Karl-Heinz, Author
Herwig, Ralf1, Author              
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1Bioinformatics (Ralf Herwig), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479648              

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 Abstract: Actinobacillus (A.) pleuropneumoniae is among the most important pathogens in pig. The agent causes severe economic losses due to decreased performance, the occurrence of acute or chronic pleuropneumonia, and an increase in death incidence. Since therapeutics cannot be used in a sustainable manner, and vaccination is not always available, new prophylactic measures are urgently needed. Recent research has provided evidence for a genetic predisposition in susceptibility to A. pleuropneumoniae in a Hampshire × German Landrace F2 family with 170 animals. The aim of the present study is to characterize the expression response in this family in order to unravel resistance and susceptibility mechanisms and to prioritize candidate genes for future fine mapping approaches. F2 pigs differed distinctly in clinical, pathological, and microbiological parameters after challenge with A. pleuropneumoniae. We monitored genome-wide gene expression from the 50 most and 50 least susceptible F2 pigs and identified 171 genes differentially expressed between these extreme phenotypes. We combined expression QTL analyses with network analyses and functional characterization using gene set enrichment analysis and identified a functional hotspot on SSC13, including 55 eQTL. The integration of the different results provides a resource for candidate prioritization for fine mapping strategies, such as TF, TFRC, RUNX1, TCN1, HP, CD14, among others.

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Language(s): eng - English
 Dates: 2014-08-142014-12
 Publication Status: Published in print
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 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s00335-014-9536-9
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Title: Mammalian Genome
Source Genre: Journal
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Publ. Info: New York : Springer-Verlag
Pages: - Volume / Issue: 25 (11-12) Sequence Number: - Start / End Page: 600 - 617 Identifier: ISSN: 0938-8990
CoNE: https://pure.mpg.de/cone/journals/resource/954925571879