GO function analysis and KEGG Pathway analyses were carried out for the selected genes related to secondary follicle development. On the one hand, functional annotations were made for them; on the other hand, we hope to find out the main relevant functions of these candidate genes. GO function analysis is a standardized system of gene function annotation. First, differentially expressed genes are mapped to the related GO database (http://www.geneontology.org/) of each term, and the number of genes in each term is calculated. A GO function gene list and the number of the statistics are also determined. In total, GO has 3 ontologies, which respectively describe the molecular function, cellular component and biological process of genes. Pathway-based analysis is helpful to further understand the biological function of genes. KEGG is the main public database on Pathway4. GO and KEGG Pathway analysis were performed using the OmicShare tools, a free online platform for data analysis (www.omicshare.com/tools).
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