After the count data were processed by TMM using EdgeR for differential analysis, differentially expressed mRNA was obtained. All P values were corrected for the statistical significance of multiple tests using the false discovery rate (FDR). Values of fold change (absolute log2) of ≥1 and FDR adjusted to P < 0.05 were considered to be statistically significant, and ClusterProfiler was used for GO (gene ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis of differentially expressed genes. The FPKM (fragments per kilobase per million) information for the differential genes was then converted into TPM information for subsequent analysis.

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