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Figure 5 | BMC Evolutionary Biology

Figure 5

From: Effect of temperature and glia in brain size enlargement and origin of allometric body-brain size scaling in vertebrates

Figure 5

Model prediction for allometric scaling between the brain and body weights of vertebrate animals on a log-log plot. A. For the brain-body mass data listed in Figure 1A, the model predictions based on Eq. (7) for endotherms in 38°C (in red line) and for ectotherms in 16°C (in black line) are displayed. Multiple linear regression analysis (here body mass P is the regressor variable while temperature T is fixed as a constant) for the endothermic prediction yielded adjusted-R2 = 0.958, p < 10−5, and for ectothermic prediction, these results were adjusted- R2 = 0.933, p < 10−5. Insert: ratios of predicted endothermic brain sizes to ectothermic brain sizes as a function of body mass (red line). For comparison, the ratios of predicted endothermic brain sizes at 38°C to the predicted ectothermic brain sizes at 16°C using all the endothermic parameters are presented (blue line). B. For the fish brain-body mass data listed in Figure 1B, the model predictions based on Eq. (7) for fish in 1°C (in blue line), 15°C (in green line) and 25°C (in red line) conditions are shown. Least-squares regression analysis of the model predictions and the actual data revealed that, for the tropical-water fish, N = 105, CC = 0.981, adjusted- R2 = 0.962, p < 10−5, for the temperate-water fish N = 70, CC = 0.961, adjusted- R2 = 0.923, p < 10−5, and for the polar-water fish N = 35, CC = 0.889, adjusted- R2 = 0.79, p < 10−5. C. For the brain-body mass data of the insectivores listed in Figure 1A, the model predictions based on Eq. (7) and the endothermic parameters at the temperature of 31°C (in black line) produced regression analysis results of CC = 0.952, adjusted- R2 = 0.91, p < 1×10−5. D. For the fish data in Figure 1C, the model predictions for the relationship between brain size and temperature for the two body sizes of 10 grams and 1000 grams based on Eq. (7) are given in black lines. Multiple linear regression analysis was used here (temperature T is the regressor variable) between log10(actual brain mass) and log10(model prediction).

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