Genome-Wide Phylogenetic Analysis, Expression Pattern, and Transcriptional Regulatory Network of the Pig C/EBP Gene Family

Author:

Zhang Chaoxin12,Wang Tao12,Cui Tongyan12,Liu Shengwei12,Zhang Bing12,Li Xue12,Tang Jian12,Wang Peng3,Guo Yuanyuan12,Wang Zhipeng124ORCID

Affiliation:

1. College of Animal Science and Technology, Northeast Agricultural University, Harbin, China

2. Bioinformatics Center, Northeast Agricultural University, Harbin, China

3. HeiLongJiang provincial Husbandry Dapartment, Harbin, China

4. DaBeiNong Group, Beijing, China

Abstract

The CCAAT/enhancer binding protein (C/EBP) transcription factors (TFs) regulate many important biological processes, such as energy metabolism, inflammation, cell proliferation etc. A genome-wide gene identification revealed the presence of a total of 99 C/EBP genes in pig and 19 eukaryote genomes. Phylogenetic analysis showed that all C/EBP TFs were classified into 6 subgroups named C/EBPα, C/EBPβ, C/EBPδ, C/EBPε, C/EBPγ, and C/EBPζ. Gene expression analysis showed that the C/EBPα, C/EBPβ, C/EBPδ, C/EBPγ, and C/EBPζ genes were expressed ubiquitously with inconsistent expression patterns in various pig tissues. Moreover, a pig C/EBP regulatory network was constructed, including C/EBP genes, TFs and miRNAs. A total of 27 feed-forward loop (FFL) motifs were detected in the pig C/EBP regulatory network. Based on the RNA-seq data, gene expression patterns related to FFL sub-network were analyzed in 27 adult pig tissues. Certain FFL motifs may be tissue specific. Functional enrichment analysis indicated that C/EBP and its target genes are involved in many important biological pathways. These results provide valuable information that clarifies the evolutionary relationships of the C/EBP family and contributes to the understanding of the biological function of C/EBP genes.

Funder

Natural Science Foundation of China

Academic Backbone Project of Northeast Agricultural University

NEAU Research Founding for Excellent Young Teachers

Publisher

SAGE Publications

Subject

Computer Science Applications,Genetics,Ecology, Evolution, Behavior and Systematics

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