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. 2023 Jan 7;11:2. doi: 10.1186/s40168-022-01431-8

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© The Author(s) 2023

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 — Viral community in the Dataset of Oyster Virome (DOV). A Nonmetric multidimensional scaling (NMDS) analysis shows the clusters of DOV libraries according to amplification groups. Nonparametric multivariate analysis of variance (permanova) was used. RT-WGA, reverse transcription and whole genome amplification; WGA, whole genome amplification; WTA whole transcriptome amplification. B Procrustes analysis of NMDS coordinates of viral communities based on comparisons of reference genomes (RefSeq, GOV, and IMG/VR) and de novo assembled viral contigs (vOTUs). C Heatmap of DOV vOTUs. The vOTUs clustered by the Euclidean method and colored by the viral genome types (dsDNA, ssDNA, RNA, and unclassified) are shown on the Y-axis. The DOV libraries ordered by amplification strategy (WGA, RT_WGA, and WTA) and tissue origin (hemolymph and mixed tissue) are shown on the X-axis