Pathway based analysis of genes and interactions influencing porcine testis samples from boars with divergent androstenone content in back fat

Sahadevan, Sudeep, Gunawan, Asep, Tholen, Ernst, Große-Brinkhaus, Christine, Tesfaye, Dawit, Schellander, Karl, Hofmann-Apitius, Martin, Cinar, Mehmet Ulas and Uddin, Muhammad Jasim (2014) Pathway based analysis of genes and interactions influencing porcine testis samples from boars with divergent androstenone content in back fat. PLoS One, 9 3: e91077.1-e91077.16. doi:10.1371/journal.pone.0091077


Author Sahadevan, Sudeep
Gunawan, Asep
Tholen, Ernst
Große-Brinkhaus, Christine
Tesfaye, Dawit
Schellander, Karl
Hofmann-Apitius, Martin
Cinar, Mehmet Ulas
Uddin, Muhammad Jasim
Title Pathway based analysis of genes and interactions influencing porcine testis samples from boars with divergent androstenone content in back fat
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2014-03-10
Year available 2014
Sub-type Article (original research)
DOI 10.1371/journal.pone.0091077
Open Access Status DOI
Volume 9
Issue 3
Start page e91077.1
End page e91077.16
Total pages 16
Editor Francisco J. Esteban
Place of publication San Francisco, CA, United States
Publisher Public Library of Science
Language eng
Formatted abstract
One of the primary factors contributing to boar taint is the level of androstenone in porcine adipose tissues. A majority of the studies performed to identify candidate biomarkers for the synthesis of androstenone in testis tissues follow a reductionist approach, identifying and studying the effect of biomarkers individually. Although these studies provide detailed information on individual biomarkers, a global picture of changes in metabolic pathways that lead to the difference in androstenone synthesis is still missing. The aim of this work was to identify major pathways and interactions influencing steroid hormone synthesis and androstenone biosynthesis using an integrative approach to provide a bird’s eye view of the factors causing difference in steroidogenesis and androstenone biosynthesis. For this purpose, we followed an analysis procedure merging together gene expression data from boars with divergent levels of androstenone and pathway mapping and interaction network retrieved from KEGG database. The interaction networks were weighted with Pearson correlation coefficients calculated from gene expression data and significant interactions and enriched pathways were identified based on these networks. The results show that 1,023 interactions were significant for high and low androstenone animals and that a total of 92 pathways were enriched for significant interactions. Although published articles show that a number of these enriched pathways were activated as a result of downstream signaling of steroid hormones, we speculate that the significant interactions in pathways such as glutathione metabolism, sphingolipid metabolism, fatty acid metabolism and significant interactions in cAMP-PKA/PKC signaling might be the key factors determining the difference in steroidogenesis and androstenone biosynthesis between boars with divergent androstenone levels in our study. The results and assumptions presented in this study are from an in-silico analysis done at the gene expression level and further laboratory experiments at genomic, proteomic or metabolomic level are necessary to validate these findings.
Keyword Multidisciplinary Sciences
Science & Technology - Other Topics
MULTIDISCIPLINARY SCIENCES
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
School of Veterinary Science Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 2 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 19 Mar 2014, 20:26:17 EST by Jasim Uddin on behalf of School of Veterinary Science