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. 2022 May 6;13:2494. doi: 10.1038/s41467-022-30219-5

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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. 3 — a The spread/range and magnitude of mutation per lineage (n = 1002). Each filled circle represents a sample, and the circle’s width is proportional to the number of mutations present in a particular sample. b Maximum likelihood phylogenetic tree with ancestral state reconstruction in a backdrop of reference sequences from Wuhan and evolutionary relationship of the Ghanaian variants over time (n = 1002). Colours show the VOC; Delta lineages, Alpha, B.1.1.318, and Beta, based on Nextstrain’s emerging lineages designations. c Root-to-tip divergence as a function of sampling time. The Y-axis denoted divergence (the number of mutations in the genome relative to the root), and the X-axis shows the sampling date of each genome. d Annotated mutational fitness of all the B.1.1.318 lineage in Ghana; the samples with the highest fitness are coloured red.