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. 2020 Dec 14;21:891. doi: 10.1186/s12864-020-07306-2

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Prediction of potential transcription factors. a Enrichment of putative transcription factor binding motifs in the promoter regions of differentially expressed genes detected by MEME. The right panel shows the annotation of the enriched motifs as determined by MAST (ID, number, p value). b qRT-PCR validation of STAT expression levels and those of their known target genes. The left axis represents the gene expression levels determined by qRT-PCR, and the right axis represents the expression levels determined by RNA-seq in FPKM units. mRNA expression levels were normalized to the mRNA levels of the pig ACTB gene. Graphed data represent the mean ± SD, n = 6. * represents p < 0.05, ** represents p < 0.01, *** represents p < 0.001