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. 2023 Apr 19;616(7958):783–789. doi: 10.1038/s41586-023-05962-4

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© The Author(s) 2023

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 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/.

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Fig. 1 — Left: a maximum-likelihood phylogenetic tree built from the GOEV database (1,722 genomes) on the basis of a concatenation of manually curated RNApolA, RNApolB, DNApolB and TFIIS genes (3,715 amino acid positions) using the posterior mean site frequency mixture model (LG + C30 + F + R10) and rooted between mirusviruses and the rest. Highlighted phylogenetic supports (dots in the tree) were considered high (approximation likelihood ratio (aLRT) ≥ 80 and ultrafast bootstrap approximation (UFBoot) ≥ 95, in black) or medium (aLRT ≥ 80 or UFBoot ≥ 95, in yellow; see Methods). The tree was decorated with rings of complementary information and visualized with anvi’o. Right: predicted 3D structures for the HK97 MCP of Caudoviricetes, mirusvirus and herpesvirus representatives obtained using AlphaFold2. Proteins are coloured on the basis of secondary structure properties. The panel also shows predicted 3D structures for the triplex capsid proteins of mirusvirus and herpesvirus representatives using the same methodology.

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