Literature DB >> 33407101

Integrated analysis of the methylome and transcriptome of chickens with fatty liver hemorrhagic syndrome.

Xiaodong Tan1, Ranran Liu1, Yonghong Zhang1,2, Xicai Wang1, Jie Wang1, Hailong Wang1, Guiping Zhao1, Maiqing Zheng3, Jie Wen4.   

Abstract

BACKGROUND: DNA methylation, a biochemical modification of cytosine, has an important role in lipid metabolism. Fatty liver hemorrhagic syndrome (FLHS) is a serious disease and is tightly linked to lipid homeostasis. Herein, we compared the methylome and transcriptome of chickens with and without FLHS.
RESULTS: We found genome-wide dysregulated DNA methylation pattern in which regions up- and down-stream of gene body were hypo-methylated in chickens with FLHS. A total of 4155 differentially methylated genes and 1389 differentially expressed genes were identified. Genes were focused when a negative relationship between mRNA expression and DNA methylation in promoter and gene body were detected. Based on pathway enrichment analysis, we found expression of genes related to lipogenesis and oxygenolysis (e.g., PPAR signaling pathway, fatty acid biosynthesis, and fatty acid elongation) to be up-regulated with associated down-regulated DNA methylation. In contrast, genes related to cellular junction and communication pathways (e.g., vascular smooth muscle contraction, phosphatidylinositol signaling system, and gap junction) were inhibited and with associated up-regulation of DNA methylation.
CONCLUSIONS: In the current study, we provide a genome-wide scale landscape of DNA methylation and gene expression. The hepatic hypo-methylation feature has been identified with FLHS chickens. By integrated analysis, the results strongly suggest that increased lipid accumulation and hepatocyte rupture are central pathways that are regulated by DNA methylation in chickens with FLHS.

Entities:  

Keywords:  Cellular junction and communication; DNA methylation; Fatty liver hemorrhagic syndrome; Lipid metabolism; RNA-seq

Mesh:

Year:  2021        PMID: 33407101      PMCID: PMC7789526          DOI: 10.1186/s12864-020-07305-3

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


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