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. 2018 Jul 23;8:11105. doi: 10.1038/s41598-018-28833-9

Figure 3.

Figure 3

Meta-analysis of data testing the reaction-diffusion thermodynamic (RDT) hypothesis, based on qualitative predictions derived from Equations (11) and (13) (Fig. 2D). (A) Theoretical limits to reaction favorability, ln(Keq), and enzyme efficiency ln(Kcat/Km) to achieve Topt ranging from 0 °C (Cold Limit) to 100 °C (Hot Limit), under reported diffusivity and enzyme concentrations1,2,37. Data points are for enzymes from mesophile (blue, N = 54) and thermophile (red, N = 28) Prokaryotes and from Eukaryotes (open circles, N = 31). (B) Arrhenius regressions (see Supplementary Information for equations) of reaction favorability, ln (Keq) versus 1/RTopt (°K) for Prokaryote and Eukaryote (combined) non-thermophile enzymes, blue, N = 85, R2 = 0.31, P < 0.001) and thermophile enzymes (red, N = 28, R2 = 0.16, P = 0.032). (C) Regressions of ln (Kcat), for combined non-thermophile (blue, N = 78, R2 = 0.11, P = 0.005) and thermophile enzymes (red, N = 28, R2 = 0.13, P = 0.06). (D) Regression of change in Topt, ΔTopt (°C) induced by experimental change in enzyme efficiency (ΔKcat/Km) (N = 17, R2 = 0.46, P = 0.003). (E) Significant (all P < 0.02) Arrhenius regressions of enzyme concentration, ln(Z), versus 1/RTopt(°K)) for each of four different hydrolytic enzymes: β-galactosidase (orange circles, N = 13); α-amylase (blue circles, N = 11), β-glucosidase (open squares, N = 11); β-glucuronidase (open circles, N = 9).