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. 2021 Apr 13;19:73. doi: 10.1186/s12915-021-00994-6

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© The Author(s) 2021

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. 4 — Gene features in Symbiodiniaceae genomes. a Principal component analysis (PCA) based on metrics of predicted genes from the analysed 15 genomes. Data points are coloured by genus and shaped by lifestyle according to the legends to the right. Data points enclosed in a light blue area correspond to isolates with hybrid genome assemblies. Smi: S. microadriaticum, Sne: S. necroappetens, Sli: S. linucheae, Str: S. tridacnidorum, Sna: S. natans, Spi: S. pilosum, Bmi: B. minutum, Cgo: C. goreaui, Csp: Cladocopium sp. C92, Fka: F. kawagutii, Pgl: P. glacialis. Isolate name is shown in subscript for those species with more than one isolate. b Loading plot showing the contribution of the distinct gene metrics employed for the PCA to PC1 and to PC2