Back to Search Start Over

Genome-wide DNA methylation analysis in Chinese Chenghua and Yorkshire pigs

Authors :
Anan Jiang
Yiren Gu
Shujie Wang
Xiang Ji
Guoqing Tang
Yanzhi Jiang
Yangshuang Zeng
Dong Chen
Xuewei Li
Weihang Xiao
Kai Wang
Pingxian Wu
Xu Xu
Source :
BMC Genomic Data
Publication Year :
2021
Publisher :
BioMed Central, 2021.

Abstract

Background The Chinese Chenghua pig (CHP) is a typical Chinese domestic fatty pig breed with superior meat quality characteristics, while the Yorkshire pig (YP) has the characteristics of fast growth and a high rate of lean meat. Long term natural selection and artificial selection resulted in great phenotypic differences between the two breeds, including growth, development, production performance, meat quality, and coat color. However, genome-wide DNA methylation differences between CHP and YP remain unclear. Results DNA methylation data were generated for muscle tissues of CHP and YP using reduced representation bisulfite sequencing (RRBS). In this study, a total of 2,416,211 CpG sites were identified. Besides, the genome-wide DNA methylation analysis revealed 722 differentially methylated regions (DMRs) and 466 differentially methylated genes (DMGs) in pairwise CHP vs. YP comparison. Six key genomic regions (Sus scrofa chromosome (SSC)1:253.47–274.23 Mb, SSC6:148.71–169.49 Mb, SSC7:0.25–9.86 Mb, SSC12:43.06–61.49 Mb, SSC14:126.43–140.95 Mb, and SSC18:49.17–54.54 Mb) containing multiple DMRs were identified, and differences of methylation patterns in these regions may be related to phenotypic differences between CHP and YP. Based on the functional analysis of DMGs, 8 DMGs (ADCY1, AGBL4, EXOC2, FUBP3, PAPPA2, PIK3R1, MGMT and MYH8) were considered as important candidate genes associated with muscle development and meat quality traits in pigs. Conclusions This study explored the difference in meat quality between CHP and YP from the epigenetic point of view, which has important reference significance for the local pork industry and pork food processing.

Details

Language :
English
ISSN :
27306844
Volume :
22
Database :
OpenAIRE
Journal :
BMC Genomic Data
Accession number :
edsair.doi.dedup.....c640691591e86f2b5d37c2dea46b6a36