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Fig. 5 | Microbiome

Fig. 5

From: Genomic adaptations enabling Acidithiobacillus distribution across wide-ranging hot spring temperatures and pHs

Fig. 5

Scatter plots of the TVZ and other Acidithiobacillus species. Plots ac show positive correlations between a GC content (%) and optimal growth temperature (°C) (R = 0.75, p = 3.0 × 10−11); b predicted proline contents (%) and optimal growth temperature (°C) (R = 0.92, p < 2.2 × 10−16); and c percentage of paralogous proteins and coding sequences (CDS) (R = 0.63, p = 1.7 × 10−7). Plots df show negative correlations between d GC content (%) and estimated genome size (Mbp) (R = − 0.51, p = 7.0 × 10−5); e predicted proline content (%) and estimated genome size (Mbp) (R = − 0.81, p = 3.4 × 10−14); and f optimal growth temperature (°C) and estimated genome size (Mbp) (R = − 0.86, p < 2.2 × 10−16). g Shows a positive correlation between minimum generation time (hr) and estimated genome size (Mbp), with reference A. caldus and the Taiwanese Acidithiobacillus (UBA2486) as outliers (R = 0.36, p = 0.008). h Shows a negative correlation between number of non-coding RNA and optimal growth temperature (°C) (R = − 0.45, p = 0.00044). i Shows a positive correlation between percent of non-coding RNA and estimated genome size (Mbp) (R = 0.24, p = 0.08). Optimal growth temperatures were derived from GrowthPred calculation. The nearest (co-clustering) unclassified Acidithiobacillus species (black rimmed-circle) to TVZ_G2 is Acidithiobacillus sp. UBA2486 in all plots. Pearson’s correlation coefficients and t-distribution tables were used to determine the correlation coefficients and the significances, respectively, as described in the methods

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