The landscape of super-enhancer regulates remote target gene transcription through loop domains in adipose tissue of pig.

Background: A super-enhancer (SE) is a huge cluster of multiple enhancers that control the key genes for cell identity and function. The rise of advanced chromatin immunoprecipitation sequencing (ChIP-seq) technology such as Cleavage Under Targets and Tagmentation (CUT&Tag) allows more SEs to be discovered. However, SE studies in Luchuan and Duroc pigs are very rare in animal husbandry. Results: We used the CUT&Tag technique to identify 145 and 378 SEs from the adipose tissues of Luchuan and Duroc pigs, respectively. There were significant differences in the peak coverage ratio of SE peaks in the gene promoter region between the two breeds. Not only that, peak signals at the start and end point of the SE peak profile showed obvious spikes. The proximal target genes of SE were highly expressed compared with the background genes and the typical enhancer target genes. Subsequently, in conjoint analysis with high-throughput chromosome conformation capture sequencing (Hi-C seq) data, we predicted the remote regulatory genes of SE and found that their expression level was related to the distance of SE extended to the loop's anchor, but not the length of loops. According to our prediction model, SEs can maintain promoter accessibility of partial remote target genes through loop domains. Finally, a batch of SEs closely related to fat metabolism traits were obtained by performing a coalition analysis of quantitative trait loci and SE data. Conclusions: This work enabled us to obtain hundreds of SEs from Luchuan and Duroc pigs. Our model provides a new method for predicting the SE remote target genes based on loop domains, and to further explore the potential role of super-enhancer in the regulation of fat metabolism.