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. 2022 Sep 3;13:5195. doi: 10.1038/s41467-022-32929-2

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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. 4 — a Histogram of GC content (average over whole genome) across Serratia. b Plot of GC content of coding regions against that of intergenic (non-coding) regions for each genome; a Pearson correlation test (two-sided) was performed, giving correlation coefficient R 0.97 and p value < 2.2e⁻¹⁶ (n = 664). c Distribution of GC content in codon positions 1, 2, and 3 in all genus-core (core) and non-genus-core (non-core) genes across each lineage. Data is normalised according to gene length. Ridgeplots are coloured according to Serratia species/phylogroup. Lineages are ordered from top to bottom according to average GC content across the whole genome. d Codon usage (CU) within the genus-core genome. Blue to red colour represents deviation from the average CU across the entire genus for each codon, with this genus-average CU calculated from a per-lineage mean CU value to account for the different numbers of sequences in each lineage. The whole genome GC (wgGC) content is also shown in the left-most column. Source data are provided as a Source Data file.