Main

All of the results of Darveau et al.3 follow from their equation (2), B = a c i MML:M b i , which they neither derive nor prove. As control coefficients6, ci, and exponents, bi, are dimensionless, this must be incorrect because it violates dimensional homogeneity, leading to different results for b that depend on the units of mass: for the basal rate, b = 0.76 when M is in kilograms, and b = 1.08 when M is in picograms.

Now, by definition, ci ≡ ∂lnB/∂lnBi, which leads to the standard sum rules6 Σci = 1 and Σciɛi = 0, where ɛi = bbi with b(M) ≡ dlnB/dlnM, the slope of lnB versus lnM, and bi(M) ≡ dlnBi/dlnM. This gives b = Σcibi, the equations that Darveau et al. should have used to determine b from the empirical ci and bi. These formulae are very general, requiring no assumptions about how B and Bi scale, or whether the Bi are connected in parallel or in series. Darveau et al., however, use B = ΣBi, implying that the Bi are added in parallel and, as such, their model is simply a consistency check on the conservation of energy, which requires all “ATP-utilizing processes”3 (in parallel) to sum to B and so must be trivially correct. This gives ci = (ai/a) MML:M - ε i and B = aΣ( c i MML:M ε i ) MML:M b i , which is the (dimensionally) correct version of equation (2).

As Darveau et al. take a and ai as constant, their ci must scale as MML:M - ε i . However, they assume that ci (and bi) M0, which requires b (which equals Σcibi)M0, thereby contradicting their equation (2), in which b depends on M. This inconsistency in the M-dependence of b is concealed in their plots, which cover only three orders of magnitude in M, over which b is almost constant (about 0.78 for basal). However, when their analysis is extended to the realistic eight orders of magnitude spanned by mammals, their b increases with M to an average value of about 0.85 and, for \({\mathop V\limits^{\bullet}}{}_{{\rm O}_2}^{\max}\), to about 0.98, which are both inconsistent with other data1,2.

Darveau et al. have taken their value for bi from empirical data, without explaining why B, or bi, scales nonlinearly with M, or why most bi ≈ 3/4. Understanding these features is the real challenge — the formulation of Darveau et al. is therefore hardly fundamental. By contrast, our theory4,5 is grounded in basic principles of geometry, physics and biology, and offers a general unifying explanation for these and the other quarter-power scalings that are so pervasive in biology.