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. 2020 Sep 23;21:653. doi: 10.1186/s12864-020-07046-3

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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. 5 — The display of the top 20 enriched pathway terms in GL20/GL60 and ZT20/ZT60 libraries. The rich factor was the ratio of differentially expressed mRNAs or miRNAs numbers annotated in this pathway term to all gene numbers annotated in this pathway term, and the greater the rich factor, the greater the degree of enrichment. a The display of the top 20 enriched pathway terms in GL20/GL60 libraries. b The display of the top 20 enriched pathway terms in ZT20/ZT60 libraries