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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. 2 — The detailed information of miRNAs sequenced by RNA-seq technology. a the number of raw tags or clean tags in four libraries of ARs (MCK0 represented the tags number in the germinated stage, MCK1, ZT20 or ZT20 represented the tags number in the seedlings after water, 20 mg/L or 60 mg/L sucrose treatment for 1 d respectively. b The proportion of all kinds of small RNA after comparison against known sRNA database. c The number of small RNAs in different distribution length of small RNAs. d Statistics of the first base of predicted miRNAs with 18-32 nucleotides