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. 2022 May 19;23:382. doi: 10.1186/s12864-022-08622-5

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© The Author(s) 2022

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 — Heat map of correlation coefficient 12 samples, principal component analysis (PCA) and venn plot for lncRNA and coding-gene expressions. a Heat map of correlation coefficient; b PCA for the coding-gene expressions for P. cancaliculata in two time points between the cold acclimation group and the control group; c PCA for the lncRNAs for P. cancaliculata in two time points between the cold acclimation group and the control group; d Venn plot for the protein coding genes of P. cancaliculata in two time points between the cold acclimation group and the control group; e Venn plot for lncRNAs for Pomacea cancaliculata in two time points between the cold acclimation group and the control group