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. 2022 Sep 6;8:86. doi: 10.1038/s41421-022-00450-x

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© The Author(s) 2022

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — a Top, edwards’ Venn diagram showing the overlap of the putative G4-forming sequences (PQSs) predicted by four independent softwares (G4catchall, QGRS mapper, Pqsfinder and ImGQfinder) in the genome of SARS-CoV-2. Bottom, charts showing the list size and intersection size repartition. b The location and score of the SARS-CoV-2 PQSs. Top, the cGcC score and location of SARS-CoV-2 PQSs. The cG/cC score of PQSs is calculated by using G4RNA screener. Bottom, the GC percent track and multiple alignments of 7 human coronavirus sequences. cGcC, consecutive G over consecutive C ratio. c The location and stability of experimentally validated G4s in the genome of SARS-CoV-2. The stability of G4s is detected by thermal melting assays.