Fig. 6: Variability in the GTPase-associated center (GAC). | Nature Communications

Fig. 6: Variability in the GTPase-associated center (GAC).

From: Varying strength of selection contributes to the intragenomic diversity of rRNA genes

Fig. 6

a The GAC interacts with translational GTPase eEF2 (green) in the 80S yeast ribosome (based on ref. 68; LSU is shown in blue, SSU is shown in yellow). Part of ribosomal protein uL11 is shown in pink. Variant positions are shown in purple with the spherical representation. b The secondary structure of the GAC. Variant sites and their interactions are denoted in purple, interactions are shown in lines and weaker (or probable) interactions are shown with dashed lines. c Hierarchical clustering of the isolates with SNVs in the GAC (25S nomenclature) based on non-rDNA genome-wide single-nucleotide polymorphism (SNP) differences from ref. 32. Bold highlights a position with more than one variant; green indicates a shared variant. d Continuous rRNA and rDNA reads (from this study and ref. 32) of isolate “CFH” (horizontal gray lines) mapped to the GAC. Variant nucleotides are indicated in green and red, with 3 possible variant combinations in the 25S rRNA shown below. Due to the large read coverage of the RNA-seq data (over 300,000 continuous GAC reads), only random 10% of the reads are shown. e Correlation between iVFs of the GAC variants detected from DNA-sequencing (“DNA-seq”) performed in this study compared to the published DNA-sequencing data from ref. 32, and correlation between iVFs of the variants in the genome (“DNA-seq”) and their expression in RNA (“RNA-seq”) performed in this study. Isolate “CFG” is excluded because of inconsistent sequencing results between this study and ref. 32. Each dot is a variant; the purple dot represents a variant detected in RNA-sequencing but not in DNA-sequencing data. The diagonal shows theoretical one-to-one correspondence between iVFs of the two experiments. Each dot is a GAC iVFP. The regression line (blue) is plotted with linear regression model. The gray shading is with a 95% confidence interval (CI). Significance test: two-sided Pearson’s product-moment correlation; DNA-seq vs DNA-seq: t(7) = 15.0, p = 1.4 × 10−6, r = 0.98, 95% CI [0.93, 1]; RNA-seq vs DNA-seq: t(8) = 10.1, p = 7.7 × 10−6, r = 0.96, 95% CI [0.85, 0.99]. Source data are provided as a Source data file.

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