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Metadata

Name
DNA methylation landscape of fat deposit and fatty acid composition variation in obese and lean pigs
Repository
Gene Expression Omnibus
Identifier
geo.series:GSE80096
Description
Obese and lean type pig breeds show obvious differences in fat deposit and fatty acid composition. However, the underlying diversities in DNA methylation that related to the phenotypic differentiation have not been clarified. Here, we employed Landrace pigs (a leaner, Western breed) and Rongchang pigs (a fatty, Chinese breed) as models to survey genome-wide DNA methylation in the backfat adipose using a methylated DNA immunoprecopitation sequencing approch.We sequenced 6 methylated DNA immunoprecipitation (MeDIP) libraries, generated 38.27 gigabases (Gb) of methylated DNA immunoprecitation sequencing (MeDIP-seq) data from the six samples, representing about 15 times the size of the pig genome. About 88.89% of all reads could be aligned on the pig reference genome (Sus scrofa 10.2) using the SOAP2 software, and about 76.68% of reads had a unique genomic location. There was 483 different methylated regions (DMRs) located in genes promoter region, which are mainly involved in the processes of “olfactory and sensory activity” and “lipid metabolism”. This study provides a solid basis for exploring the epigenetic mechanisms of fat deposit and fatty acid composition, have benefit to promoting human health diet and improving pork quality and production efficiency.
Data or Study Types
Methylation profiling by high throughput sequencing
Source Organization
National Center for Biotechnology Information
Access Conditions
available
Year
2016
Access Hyperlink
http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GSE80096

Distributions

  • Encoding Format: Bioproject ; URL: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA317908
  • Encoding Format: TXT ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE80096/matrix/
  • Encoding Format: MINiML ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE80096/miniml/
  • Encoding Format: SOFT ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE80096/soft/
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.