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Series GSE113316 Query DataSets for GSE113316
Status Public on Apr 18, 2018
Title Differential expression and co-expression gene networks reveal candidate biomarkers of boar taint in non-castrated pigs (RNA-seq data set)
Organism Sus scrofa
Experiment type Expression profiling by high throughput sequencing
Summary Boar taint (BT) is an offensive odour or taste observed in pork from a proportion of non-castrated male pigs. Surgical castration is effective in avoiding BT, but animal welfare issues have created an incentive for alternatives such as genomic selection. In order to find candidate biomarkers, gene expression profiles were analysed from tissues of non-castrated pigs grouped by their genetic merit of BT. Differential expression analysis revealed substantial changes with log-transformed fold changes of liver and testis from −3.39 to 2.96 and −7.51 to 3.53, respectively. Co-expression network analysis revealed one module with a correlation of −0.27 in liver and three modules with correlations of 0.31, −0.44 and −0.49 in testis. Differential expression and co-expression analysis revealed candidate biomarkers with varying biological functions: phase I (COQ3, COX6C, CYP2J2, CYP2B6, ACOX2) and phase II metabolism (GSTO1, GSR, FMO3) of skatole and androstenone in liver to steroidgenesis (HSD17B7, HSD17B8, CYP27A1), regulation of steroidgenesis (STARD10, CYB5R3) and GnRH signalling (MAPK3, MAP2K2, MAP3K2) in testis. Overrepresented pathways included “Ribosome”, “Protein export” and “Oxidative phosphorylation” in liver and “Steroid hormone biosynthesis” and “Gap junction” in testis. Future work should evaluate the biomarkers in large populations to ensure their usefulness in genomic selection programs.
 
Overall design Total RNA was extracted from liver and testis of 48 Danish Landrace pigs with low- medium and high genetic merit of boar taint and sequenced by Illumina HiSeq 2500.
 
Contributor(s) Drag M, Skinkyté-Juskiené R, Do DN, Kogelman LJ, Kadarmideen HN
Citation(s) 28939879, 29438444
Submission date Apr 18, 2018
Last update date Sep 25, 2018
Contact name Haja N Kadarmideen
E-mail(s) [email protected]
Organization name Technical University of Denmark
Department Department of Applied Mathematics and Computer Science
Lab Quantitative Genomics, Bioinformatics & Computational Biology (QBC) Group
Street address Richard Petersens Plads, Building 324
City Kongens Lyngby
ZIP/Postal code 2800
Country Denmark
 
Platforms (1)
GPL19176 Illumina HiSeq 2500 (Sus scrofa)
Samples (96)
GSM2461207 Sample 1326 - Liver - high boar taint
GSM2461208 Sample 7106 - Liver - high boar taint
GSM2461209 Sample 1331 - Liver - high boar taint
This SubSeries is part of SuperSeries:
GSE93734 Genomics and transcriptomics of boar taint in pigs
Relations
BioProject PRJNA451072
SRA SRP141481

Download family Format
SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE113316_RAW.tar 9.1 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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