Evolutionary biologists are interested in finding universal patterns of covariation between macroscopic and molecular traits. Knowledge of such laws of life can be essential for understanding the course of evolutionary processes. Molecular parameters are presumably close to fundamental limits set to all organisms by laws of physics and chemistry. Thus, laws of life that include such parameters are hypothesized to be similar at both wide interspecific levels of variation and narrower levels of intraspecific and intraindividual variation in different species. In this Commentary, I discuss examples where the significance or direction of such molecular laws of life can be compared at different levels of biological variation: (1) the membrane pacemaker theory of metabolism, (2) the correlation between variation in metabolic rate and mitochondrial efficiency and (3) the allometric scaling of metabolism. All three examples reveal that covariations within species or individuals that include molecular parameters do not always follow patterns observed between species. I conclude that limits set by molecular laws of life can be circumvented (at least to some degree) by changes in other traits, and thus, they usually do not impose strict limitations on minor within-species evolutionary changes (i.e. microevolution). I also briefly discuss some of the most promising perspectives for future studies on the universality of molecular laws of life.

In recent decades, the research activity of evolutionary biologists has gradually broadened from typical ‘macroscopic’ traits such as body mass, litter size or whole-body metabolic rate to include molecular parameters (hereafter, my definition of ‘molecular parameters’ does not include genetics). Although this trend does not represent a real novelty (see Hochachka and Somero, 1973), many scientific meetings may currently leave participants with an impression of almost a ‘fusion’ between evolutionary and molecular biology. This change is driven by a tendency to look for mechanisms responsible for observed evolutionary processes, and benefits from both technical progress that has made sophisticated biochemical and biophysical methods more feasible, as well as growing cooperation between evolutionary and molecular biologists. The widespread use of molecular methods has added a new dimension to the way in which evolutionary biologists see objects of their studies. We are now aware of tremendous variation that is present in nature at the molecular level and we know that it can underlie variation in macroscopic traits (Konarzewski and Książek, 2013; Kozłowski et al., 2020; Koch et al., 2021).

Glossary

Allometric scaling

When a value of a particular trait in different organisms does not change proportionally to their size (such a relationship becomes linear only when the value of a trait and body size are log-transformed).

Basal metabolic rate

Metabolic rate measured in an endotherm at thermoneutrality, in animal that is resting, postabsorptive, non-growing and not reproducing. As such, it is measured only in endotherms.

DHA

Docosahexaenoic fatty acid (22:6), a highly unsaturated fatty acid that can play an important role in determining properties of cell membranes.

Genetic correlation

The proportion of variation in two traits that is shared because of genetic causes.

Pleiotropic effect

When the same gene affects two or more traits.

Resting metabolic rate

The metabolic rate measured in an endotherm that is resting. This is sometimes used in situations when strict requirements of measurements of basal metabolic rate cannot be fulfilled.

Trade-off

When an increase in fitness through change in one trait results in a detrimental change in another trait.

The fundamental assumption of evolutionary biology is that individual traits of organisms cannot change independently of other traits; furthermore, variation in one trait can be related to variation in the other traits because of pleiotropic effects, genetic correlations or trade-offs (see Glossary; Flatt and Heyland, 2011; Mauro and Ghalambor, 2020; Garland et al., 2022). Knowledge of how different traits are integrated is the key issue for understanding how organisms can respond to either natural selection (Armbruster et al., 2014) or human-induced challenges. Evolutionary biologists are especially interested in finding patterns of covariation between traits that are common for different groups of organisms. This tendency is understandable since the widespread observation of these patterns suggests that there is a ‘law of life’ shaping the course of evolution that we can detect. Such a tendency is justified because: (1) all organisms studied by evolutionary biologists are (closely or more distantly) related to each other; (2) many molecular pathways are remarkably conserved during evolution (Khan et al., 2019; Husak and Lailvaux, 2022); and (3) the laws of physics and chemistry are common to all organisms.

What can we expect about the generality of laws of life that involve molecular parameters? Such parameters are presumably closer to the fundamental limits set for all biological processes by chemical and physical laws than macroscopic traits. Genetic correlations or developmental coupling between traits can limit the rate of evolution but not completely preclude it (e.g. Beldade et al., 2002). Conversely, even the strongest pressure of natural selection cannot overcome molecular laws of life if they represent physical and chemical constraints. Therefore, covariation among traits that involve molecular parameters should be hypothesized to be similar in different groups of organisms, as well as to be found at different levels of cladistic hierarchy; such molecular rules could be as strict as genetic code and could be broken only by a new set of molecular parameters. For example, minimum and maximum metabolic rates are correlated in most vertebrate groups but not in the case of cold-induced metabolism in mammals, presumably because of the molecular background of thermogenesis in this group (Auer et al., 2017).

The integration of biological processes at different scales is a key challenge in modern biology (St Mary et al., 2021). Although biological variation occurs along the whole gradient of such ‘scales’, I will focus on two distinct levels, which I define as ‘wide’ and ‘narrow’ variation. Wide variation represents the level that is usually called interspecific variation and refers to variation within large groups such as ectotherms, birds and placental mammals. Narrow variation represents intraspecific variation, which encompasses differences between individuals, populations or lines within the same species, and intraindividual variation, i.e. phenotypic flexibility. Thus, narrow variation in molecular parameters can (at least theoretically) directly affect individual fitness and microevolutionary changes. It is also important to note that the relative magnitude of both wide and narrow variation can vary among different groups and species; nevertheless, the range of wide variation in a particular group should be always larger than the range of narrow variation in each species belonging to this group.

Molecular laws of life are usually described at the level of wide variation simply because such variation guarantees much higher (and thus more evident/detectable) differences between studied species. Such studies usually try to control and reduce the impact of narrow variation on analysed parameters, for example, by assaying all individuals at the same age and at the same time of day or simply averaging all measurements from a large sample size. However, the question of whether the same pattern of covariation between traits can be found at the level of narrow variation (Fig. 1) is important for several reasons. First, natural selection acts on individuals of the same species, so any truly strict law of life should also be obeyed at this level. Testing molecular laws of life at the intraspecific level can also avoid the need for correction of compared variables for phylogeny that is usually necessary in comparisons based on wide variation. The narrow variation is also relevant for tests of whether particular laws can limit the performance of individuals and their capacity to deal with environmental or climatic changes, for example. Thus, the uniformity of molecular laws of life – or the lack thereof – is directly related to the more general problem of macrophysiology, that is, variations in physiological traits over large geographical and temporal scales (Chown et al., 2004; Chown, 2023). Finally, such uniformity may have direct, practical benefits for scientists; if a simple molecular parameter quantified in a small sample represents a reliable index of a complex parameter in a wide array of individuals, it could allow for more feasible and sometimes also more ethical studies; for example, in finding potential links between molecular factors in the blood and whole-body metabolic rates (Malkoc et al., 2021; Holden et al., 2022).

Fig. 1.

An illustration of two possible patterns of correlation between molecular parameters and macroscopic traits at the level of wide and narrow variation. The example depicted here is the membrane pacemaker theory of metabolism. The direction of correlation between molecular parameters and macroscopic traits can be the same at wide and narrow levels of variation (blue ovals). Alternatively, the correlation between molecular parameters and macroscopic traits at the narrow level of variation may not always be the same as the pattern observed at the wide level of variation (red ovals).

Fig. 1.

An illustration of two possible patterns of correlation between molecular parameters and macroscopic traits at the level of wide and narrow variation. The example depicted here is the membrane pacemaker theory of metabolism. The direction of correlation between molecular parameters and macroscopic traits can be the same at wide and narrow levels of variation (blue ovals). Alternatively, the correlation between molecular parameters and macroscopic traits at the narrow level of variation may not always be the same as the pattern observed at the wide level of variation (red ovals).

The lack of significant covariation between molecular and macroscopic traits at a narrow level of variation can simply reflect the lower power of such tests (as this variation is usually smaller than wide variation). However, more interesting are the situations when we can find significant variation in one trait without simultaneous variation in its presumed molecular correlate [e.g. changes in basal metabolic rate (BMR, see Glossary), without changes in mitochondrial efficiency; Brzęk et al., 2022] or when the direction of the link between two traits found at the narrow level contradicts the pattern observed at the wider scale (e.g. correlation between basal metabolic rate and the composition of cell membranes; Brzęk et al., 2007; see Fig. 1). I emphasize that such situations do not necessarily mean that the molecular law of life is falsified. Rather, they suggest that a particular law of life represents some general constraint set by physics and chemistry on large-scale evolutionary changes; however, simultaneously, such a law allows for some freedom of action for natural selection that does not necessarily need to obey it during its daily work. For example, instead of changes in molecular parameters affecting mass-specific metabolic rate, evolution can simply change the mass of internal organs.

Below, I discuss several cases demonstrating that the relationship between wide and narrow variation is not always straightforward, and how these examples relate to the molecular laws of life and evolutionary physiology.

A classic example linking the variation in relatively simple molecular parameters to an important macroscopic trait is the membrane pacemaker theory of metabolism (hereafter referred to as ‘the membrane pacemaker theory’) proposed by Hulbert and Else (Hulbert and Else, 1999), which is explained in detail elsewhere (Hulbert and Else, 2000; Hulbert, 2007). This theory is based on two observations: (1) molecular processes associated with cell membranes represent an important component of the ‘whole body’ metabolic rate (particularly BMR in endotherms) and (2) properties of cell membranes depend on the composition of membrane phospholipids, particularly the abundance of polyunsaturated fatty acids. Thus, it was proposed that the composition of cell membrane fatty acids can modulate the rate of metabolic processes. Moreover, since double covalent bonds are more sensitive to oxidative stress than single bonds, the variation in the saturation of cell membrane fatty acids can also explain variation in lifespan (Hulbert et al., 2007; Hulbert, 2008, 2010).

The membrane pacemaker theory offers a simple, mechanistic explanation for variation in metabolic rate; it is easy to visualize that cell membranes with more ‘bent’ unsaturated fatty acid chains are more fluid-like, allowing for increased dynamics of large enzyme molecules or higher levels of proton leakage. The membrane pacemaker theory is supported by interspecific comparisons, revealing that the average number of double covalent bonds in cell membrane fatty acids correlates negatively with body mass and positively with the activity of key metabolic enzymes (e.g. Hulbert et al., 2002a,b; Brand et al., 2003; Turner et al., 2003, 2005).

Several authors have tried to test the validity of the membrane pacemaker theory at a narrower range of variation in metabolic rate. The most common approach has been to compare the composition of cell membranes in individuals with different metabolic rates, taking advantage of either natural variation (Haggerty et al., 2008; Sukhotin et al., 2017) or artificial selection (Brzęk et al., 2007; Wone et al., 2013; Stawski et al., 2015). None of those studies unequivocally support the membrane pacemaker theory. Other authors have analysed the effect of diet-induced manipulation of fatty acyl composition on metabolic rate, although the results of such experiments are perhaps more ambiguous, as the level of unsaturation of cell membranes fatty acids can be regulated homeostatically in spite of diet variation (Hulbert et al., 2014). However, even when dietary manipulation is strong enough to affect behavior (Pannorfi et al., 2012) or directly modulate the composition of cell membrane fatty acids (Price et al., 2018), it still does not change the metabolic rate. There is better support for the presence of an intraspecific link between cell membrane fatty acyl composition and longevity, usually based on studies comparing strains with different lifespans (Hulbert et al., 2006; Shmookler Reis et al., 2011; Valencak and Ruf, 2013 but see Moghadam et al., 2013). However, no correlation was found between longevity and fatty acyl composition in a between-population comparison of a potentially extremely long-living bivalve, Arctica islandica (which can live up to 507 years; Rodríguez et al., 2019). This result is particularly remarkable, as such a link was observed in a study comparing A. islandica with other bivalves (Munro and Blier, 2012), and the range of narrow and wide variation in lifespan in both studies was comparable. Finally, it has been noted that the validity of the membrane pacemaker theory, even at the interspecific level, can be affected by confounding effects of phylogeny and body mass (Calhoon et al., 2015). For example, the link between the unsaturation level of cell membrane fatty acids and BMR in mammals is not significant when compared variables are controlled for the effects of phylogeny and body mass (Valencak and Ruf, 2007). A similar interspecific study in birds provided only very weak support for the membrane pacemaker theory (Kumar et al., 2021).

Taking all these observations into account, it is not surprising that even the author of the membrane pacemaker theory has admitted that intraspecific variation in metabolic rate is not necessarily related to membrane fatty acid composition (Hulbert, 2010). Undoubtedly, the number of double bonds in fatty acyl chains can modulate the properties of the cell membrane and affect the rate of metabolic processes, and shrews cannot achieve their metabolic rate if they have the same composition of liver fatty acids as elephants. However, organisms are obviously able to adjust their metabolic rate to some extent without following the predictions of the membrane pacemaker theory. It can be done in several ways, such as by changing organ size (Brzęk et al., 2007) or modulating parameters of cell membranes other than the unsaturation index (Calhoon et al., 2015).

It is also important to note that the membrane pacemaker theory was originally proposed specifically for BMR (Hulbert and Else, 1999). However, it has been observed that hypoxia-induced reduction in the resting metabolic rate (RMR, see Glossary) in naked mole-rats is accompanied by a decrease in fatty acyl unsaturation in the liver and an increase in muscle (Farhat et al., 2020). This can either confirm Hulbert and Else's theory at an intraindividual level or contradict it, depending on which organ is assumed to be the better predictor of the RMR. Moreover, natural selection acting directly on the BMR in endotherms should invariably minimize its value to reduce maintenance costs, and the evolution of a higher BMR could occur only as a correlated response to selection acting on other fitness-related traits (Swanson et al., 2017). Because fatty acids fulfil different functions in organisms (Arnold et al., 2015; Harayama and Riezman, 2018), this mechanism can weaken the correlation between BMR and fatty acyl composition at the intraspecific level, since the observed composition of fatty acids can represent a compromise between the BMR (i.e. the predictions of the cell membrane theory) and the demands of other functions. Similarly, even at a wide interspecific level, the BMR can be correlated with mean unsaturation of cell membrane fatty acids but not with the relative abundance of almost all specific fatty acids (Kumar et al., 2021).

Finally, the composition of cell membrane fatty acids can affect the intraspecific variation in metabolic rate even if the mechanism of this action differs from that proposed by the cell membrane pacemaker theory. For example, divergent selection for the BMR in laboratory mice modulated liver fatty acyl unsaturation and the abundance of docosahexaenoic acid (DHA, see Glossary), but in a direction contradicting the cell membrane pacemaker theory (Brzęk et al., 2007). Nevertheless, the fact that selection acting on BMR modulated the composition of cell membrane fatty acids reveals the presence of significant links between them (see also Czajkowska et al., 2019). Interestingly, mice selected for high BMR grow faster (Sadowska et al., 2013) and have larger livers but with a lower abundance of DHA than their counterparts with a lower BMR (Brzęk et al., 2007). In red-winged blackbird nestlings, liver DHA content increases soon after hatching and can reach values higher than those observed in adult birds, followed by an increase in DHA in pectoral muscles during the later nestling period (Price et al., 2018). These patterns parallel changes in the relative size of respective organs in altricial birds (Lilja, 1982) and may be interpreted as an adaptation for rapid growth. Thus, the faster growth rate in both cases is related to a larger liver but not necessarily to more unsaturated liver cell membrane fatty acids. This is another example where the solutions of biological problems do not always need to follow the same laws.

Since mitochondria are responsible for most energetic processes in most organisms, they can play a key role in the evolution of life histories (Koch et al., 2021). Here, I will focus only on variation in mitochondrial efficiency. We are now aware that mitochondrial ATP production during aerobic respiration is not coupled to units of consumed oxygen in a fixed ratio. Mitochondrial efficiency is a complex trait that reflects variation in several mitochondrial parameters, such as proton leak and the type of substrate used (Salin et al., 2015) or properties of respiratory chain activity (Roussel et al., 2018). In general, organisms with more efficient mitochondria can obtain more energy from the same amount of food but are at risk of higher oxidative stress. Therefore, variation in mitochondrial parameters at the molecular level may have far-reaching evolutionary consequences for the whole organism (Salin et al., 2015; Koch et al., 2021; Metcalfe and Olsson, 2022).

The general (and perhaps not surprising) pattern that emerges from studies analysing variation in mitochondrial efficiency at a narrow level of variation is that more efficient mitochondria are linked to faster growth (Toyomizu et al., 2011), better locomotor capacity (Roussel et al., 2020) or higher parental investment (Park et al., 2020). Strikingly, although nestlings of altricial birds are less physiologically mature than adult birds (Starck and Ricklefs, 1998), younger chicks can have more efficient mitochondria than older nestlings (Cossin-Sevrin et al., 2022), presumably to improve their growth capacity. Conversely, a comparative analysis of wide, interspecific variation in mitochondrial efficiency in mammals found a negative correlation between BMR and mitochondrial efficiency (Boël et al., 2019). Thus, although higher mitochondrial efficiency is observed in individuals with higher rates of energy expenditure at the intraspecific and intraindividual levels in endotherms, it is negatively correlated with BMR at the interspecific level. These contrasting patterns are unexpected, as models explaining the evolution of endothermy frequently assume that BMR is correlated positively with the capacity of maintaining higher aerobic metabolic rate during locomotor activity or parental investment, for example (Bennett and Ruben, 1979; Koteja, 2000). Thus, one could expect that the correlation between variation in metabolic rate and variation in mitochondrial efficiency should always be the same.

There are several possible explanations for this apparent paradox. First, the negative correlation described by Boël et al. (2019) is most evident for basal metabolism but gradually becomes weaker for higher rates of ATP synthesis and becomes nonsignificant at its maximum rate. At the same time, mitochondrial efficiency improves when metabolic rate increases (Boël et al., 2019). Thus, the described contrast between wide and narrow variation in mitochondrial efficiency could be (at least) less pronounced when we consider the average rate of metabolism during effort (probably intermediate between basal and maximal). Moreover, the interspecific correlation between mitochondrial efficiency and BMR (Boël et al., 2019) has been hypothesized by these authors to reflect higher proton leakage in smaller species with less efficient mitochondria (and the intensity of proton leakage in turn can depend on the fatty acyl composition of cell membranes). However, the flexibility of mitochondrial efficiency can also depend on mechanisms other than proton leakage (Salin et al., 2015; Roussel et al., 2018). For instance, an increase in proton leakage does not preclude an increase in mitochondrial efficiency if it is offset by a simultaneous increase in ATP-synthesis capacity, reflecting changes in, for example, the mitochondrial electron transport system (Bryant et al., 2018). Finally, the evolution of the BMR in mammals at a narrow range of variation is possible without simultaneous changes in mitochondrial efficiency (Brzęk et al., 2022). Thus, there is no need to expect inter- and intraspecific variation in mitochondrial efficiency at rest and during activity to reflect the same proximate molecular mechanisms.

It is almost impossible to write even a very concise text about evolutionary physiology without touching the problem of the allometric scaling (see Glossary) of metabolic rate. The deceivingly simple question of why larger organisms have lower mass-specific rates of metabolic processes than smaller ones has been the subject of innumerable studies (Glazier, 2014; White and Kearney, 2014; Kozłowski et al., 2020; Harrison et al., 2022). Essentially, this is the most famous example of the question about the generality of laws of life; allometric scaling is so prevalent that it seems to reflect the presence of one fundamental rule that affects the functioning of all living things. Indeed, several theories that try to explain allometric scaling are not even based on molecular parameters but rather on more fundamental physical constraints set by the surface-to-volume ratio (e.g. Kooijman, 2010) or limits of the branching transport networks (e.g. West et al., 1997; Banavar et al., 1999), for example. Such constraints should be particularly likely to apply in all groups; indeed, it has been emphasized that their implications can be observed across the whole phylogenetic tree of life (West and Brown, 2005; Brown et al., 2022). By contrast, many authors have noted that the shape of allometric relationships can vary between different groups (e.g. Bokma, 2004; Clarke et al., 2010) or can even evolve (e.g. Glazier et al., 2011), making doubtful the presence of one universal and inflexible rule. Finally, it has been proposed that both inter- and intraspecific metabolic allometries can arise not as a result of single physical constraint but rather emerge as a consequence of evolutionary optimization of life history parameters, such as the allocation of resources to growth and reproduction (Kozłowski et al., 2020; White et al., 2022).

This short summary reveals that there are two contrasting approaches to the problem of allometric scaling of metabolic rate: one emphasizes the universality of scaling patterns and the importance of physical constraints, another is more interested in biological variation in scaling patterns and the variety of factors that can affect them. Both approaches presumably represent two sides of the same coin. Strikingly, two recent reviews, written from either a more physical (Brown et al., 2022) or more biological (Harrison et al., 2022) point of view, agree that physics and geometry impose some general constraints on organisms, but natural selection can overcome them – at least at the scale of what I call narrow variation (personally, I think this conclusion applies to all molecular laws of life). Indeed, many authors emphasize natural selection offers a range of different solutions to the same problem arising in different organisms (Harrison, 2018; Kozłowski et al., 2020). Thus, studies of generality (or the lack thereof) of molecular laws of life at different levels should be particularly helpful for solving the mysteries of mechanisms behind the allometric scaling of metabolic rate. Moreover, previous studies of allometric scaling have usually, although not exclusively (Glazier, 2005; Czarnołęski et al., 2008; Glazier et al., 2020), investigated wide interspecific variation in metabolic rate. In fact, one of the suggestions recently proposed by Harrison et al. (2022) to advance studies of the mechanisms responsible for allometric scaling is to focus more on intraspecific variation.

The main conclusion that can be drawn from the above examples is that molecular patterns observed at the level of wide variation do not need to be obeyed strictly at the level of narrower variation and that patterns observed for narrow variation in different groups can vary. Graphically, molecular laws of life form corridors that allow for some ‘sideways movements’, rather than a rope along which organisms can move only backwards and forwards (Fig. 1). Such sideways movements can occur both at the macroscopic level (e.g. changes in body size and organ mass) and at the molecular level (e.g. changes in cell size). In other words, limits set by one law of life can be circumvented with the help of other laws of life. Interestingly, the link between cell size and mass-specific metabolic rate (theoretically a very rigid law of life) is more variable at the intraspecific level than at the interspecific level, presumably because at the intraspecific level it can be more easily obscured by other factors (Glazier, 2022). This is the same pattern as that described above for the membrane pacemaker theory.

It is difficult to predict the future of molecular approaches in evolutionary biology, as it depends on (unpredictable) technical progress. Nevertheless, some advice could be proposed. The most obvious suggestion is to investigate more thoroughly the molecular background of variation in macroscopic traits at both narrow and wide levels of variation. In this respect, particularly interesting species would be those with considerable narrow variation, such as clams that were alive during the 16th century (Munro and Blier, 2012), beetles with a 30-fold range of variation in body mass (Somjee et al., 2021) or unintended long-term artificial selection experiments, such as the domestication of dogs (Jimenez, 2016). Similarly, any species with large plasticity or ontogenetic changes would represent a good research model. Here, particularly interesting are young altricial birds that combine the fastest growth rate in the animal kingdom (Case, 1978) with significant changes in their mitochondrial coupling or DHA content. However, it would also be important to study species that are otherwise not particularly ‘peculiar’ but are ‘scattered’ along less investigated branches of phylogenetic trees to improve our knowledge of interspecific variation using comparative methods. Sometimes including species from new groups can affect the final conclusions. For example, Gonzalez et al. (2015) found a significant link between body mass and the abundance of DHA fatty acid within the family Cyprinidae, but this relationship disappeared when a few species from another family, Catostomidae, were added.

New research methods could offer new opportunities for evolutionary biologists; in particular, methods that allow for the better quantification of molecular parameters and processes either in preserved samples (e.g. Acin-Perez et al., 2020) or in vivo. The former could be very helpful for field studies, whereas in vivo assays are necessary for better understanding of how analysed processes are integrated. The introduction of new methods will also make it more essential that we at least try to standardize the way those methods are used. This should be particularly important for comparative studies at the wide level of variation; thus far, interspecific comparisons of molecular parameters usually rely on samples analysed in the same team/laboratory.

Finally, the question of the generality of molecular laws is also relevant for translational studies. The knowledge of any exception from general laws of life can potentially enhance our understanding of how diseases evolve and how they can be treated. For example, it is known that some groups of organisms evolved genetic and molecular mechanisms, resulting in lower cancer risk that could be expected based on comparison with other species (Tollis et al., 2019). Additionally, sophisticated research tools such as organoids or organs-on-a-chip that are developed specifically for biomedical studies in humans could one day also become available for evolutionary biologists; then, the knowledge of (dis)similarity of molecular laws of life in Homo sapiens and other species could be invaluable in tuning those new tools.

To summarize, molecular laws of life in biology may be strict at the very general level, but they leave room for so many exceptions that they will certainly guarantee many exciting papers during the second century of Journal of Experimental Biology.

I am grateful for Marek Konarzewski, Damien Roussel and three Reviewers for comments on the earlier versions of the manuscript.

Acin-Perez
,
R.
,
Benador
,
I. Y.
,
Petcherski
,
A.
,
Veliova
,
M.
,
Benavides
,
G. S.
,
Lagarrigue
,
S.
,
Caudal
,
A.
,
Vergnes
,
L.
,
Murphy
,
A. N.
,
Karamanlidis
,
G.
et al. 
(
2020
).
A novel approach to measure mitochondrial respiration in frozen biological samples
.
EMBO J.
39
,
e104073
.
Armbruster
,
W. S.
,
Pélabon
,
C.
,
Bolstad
,
G. H.
and
Hansen
,
T. F.
(
2014
).
Integrated phenotypes: understanding trait covariation in plants and animals
.
Phil. Trans. R. Soc. B
369
,
20130245
.
Arnold
,
W.
,
Giroud
,
S.
,
Valencak
,
T. G.
and
Ruf
,
T.
(
2015
).
Ecophysiology of omega fatty acids: a lid for every jar
.
Physiology
30
,
232
-
240
.
Auer
,
S. K.
,
Killen
,
S. S.
and
Rezende
,
E. L.
(
2017
).
Resting vs. active: a meta-analysis of the intra- and inter-specific associations between minimum, sustained, and maximum metabolic rates in vertebrates
.
Funct. Ecol.
31
,
1728
-
1738
.
Banavar
,
J. R.
,
Maritan
,
A.
and
Rinaldo
,
A.
(
1999
).
Size and form in efficient transportation networks
.
Nature
399
,
130
-
132
.
Beldade
,
P.
,
Koops
,
K.
and
Brakefield
,
P. M.
(
2002
).
Developmental constraints versus flexibility in morphological evolution
.
Nature
416
,
844
-
847
.
Bennett
,
A. F.
and
Ruben
,
J. A.
(
1979
).
Endothermy and activity in vertebrates
.
Science
206
,
649
-
654
.
Boël
,
M.
,
Romeistang
,
C.
,
Voituron
,
Y.
and
Roussel
,
D.
(
2019
).
Allometry of mitochondrial efficiency is set by metabolic intensity
.
Proc. R. Soc. B
286
,
20191693
.
Bokma
,
F.
(
2004
).
Evidence against universal metabolic allometry
.
Funct. Ecol.
18
,
184
-
187
.
Brand
,
M. D.
,
Turner
,
N.
,
Ocloo
,
A.
,
Else
,
P. L.
and
Hulbert
,
A. J.
(
2003
).
Proton conductance and fatty acyl composition of liver mitochondria correlates with body mass in birds
.
Biochem. J.
376
,
741
-
748
.
Brown
,
J. H.
,
Burger
,
J. R.
,
Hou
,
C.
and
Hall
,
C. A. S.
(
2022
).
The pace of life: metabolic energy, biological time, and life history
.
Integr. Comp. Biol.
62
,
1479
-
1491
.
Bryant
,
H. J.
,
Chung
,
D. J.
and
Schulte
,
P. M.
(
2018
).
Subspecies differences in thermal acclimation of mitochondrial function and the role of uncoupling proteins in killifish
.
J. Exp. Biol.
221
,
jeb186320
.
Brzęk
,
P.
,
Bielawska
,
K.
,
Książek
,
A.
and
Konarzewski
,
M.
(
2007
).
Anatomic and molecular correlates of divergent selection for basal metabolic rate in laboratory mice
.
Physiol. Biochem. Zool.
80
,
491
-
499
.
Brzęk
,
P.
,
Roussel
,
D.
and
Konarzewski
,
M.
(
2022
).
Mice selected for a high basal metabolic rate evolved larger guts but not more efficient mitochondria
.
Proc. R. Soc. B
289
,
20220719
.
Calhoon
,
E. A.
,
Ro
,
J.
and
Williams
,
J. B.
(
2015
).
Perspectives on the membrane fatty acid unsaturation/pacemaker hypotheses of metabolism and aging
.
Chem. Phys. Lipids
191
,
48
-
60
.
Case
,
T. J.
(
1978
).
On the evolution and adaptive significance of postnatal growth rates in the terrestrial verterbrates
.
Q. Rev. Biol.
53
,
243
-
282
.
Chown
,
S. L.
(
2023
).
Macrophysiology for decision-making
.
J. Zool.
319
,
1
-
22
.
Chown
,
S. L.
,
Gaston
,
K. J.
and
Robinson
,
D.
(
2004
).
Macrophysiology: large-scale patterns in physiological traits and their ecological implications
.
Funct. Ecol.
18
,
159
-
167
.
Clarke
,
A.
,
Rothery
,
P.
and
Isaac
,
N. J.
(
2010
).
Scaling of basal metabolic rate with body mass and temperature in mammals
.
J. Anim. Ecol.
79
,
610
-
619
.
Cossin-Sevrin
,
N.
,
Hsu
,
B.-Y.
,
Marciau
,
C.
,
Viblanc
,
V. A.
,
Ruuskanen
,
S.
and
Stier
,
A.
(
2022
).
Effect of prenatal glucocorticoids and thyroid hormones on developmental plasticity of mitochondrial aerobic metabolism, growth and survival: an experimental test in wild great tits
.
J. Exp. Biol.
225
,
jeb243414
.
Czajkowska
,
M.
,
Brzęk
,
P.
and
Dobrzyń
,
P.
(
2019
).
A novel polymorphism in the fatty acid desaturase 2 gene (Fads2): A possible role in the basal metabolic rate
.
PLoS ONE
14
,
e0213138
.
Czarnołęski
,
M.
,
Kozłowski
,
J.
,
Dumiot
,
G.
,
Bonnet
,
J. C.
,
Mallard
,
J.
and
Dupont-Nivet
,
M.
(
2008
).
Scaling of metabolism in Helix aspersa snails: changes through ontogeny and response to selection for increased size
.
J. Exp. Biol.
211
,
391
-
399
.
Farhat
,
E.
,
Devereaux
,
M. E. M.
,
Pamenter
,
M. E.
and
Weber
,
J.-M.
(
2020
).
Naked mole-rats suppress energy metabolism and modulate membrane cholesterol in chronic hypoxia
.
Am. J. Physiol. Regul. Integr. Comp. Physiol.
319
,
R148
-
R155
.
Flatt
,
T.
and
Heyland
,
A.
(ed.) (
2011
).
Mechanisms of Life History Evolution: the Genetics and Physiology of Life History Traits and Trade-Offs
.
New York
:
Oxford University Press
.
Garland
,
T.
Jr
,
Downs
,
C. J.
and
Ives
,
A. R.
(
2022
).
Trade-offs (and constraints) in organismal biology
.
Physiol. Biochem. Zool.
95
,
82
-
112
.
Glazier
,
D. S.
(
2005
).
Beyond the ‘3/4 power law’: variation in the intra- and interspecific scaling of metabolic rate in animals
.
Biol. Rev.
80
,
611
-
662
.
Glazier
,
D. S.
(
2014
).
Metabolic scaling in complex living systems
.
Systems
2
,
451
-
540
.
Glazier
,
D. S.
(
2022
).
How metabolic rate relates to cell size
.
Biology
11
,
1106
.
Glazier
,
D. S.
,
Butler
,
E. M.
,
Lombardi
,
S. A.
,
Deptola
,
T. J.
,
Reese
,
A. J.
and
Satterthwaite
,
E. V.
(
2011
).
Ecological effects on metabolic scaling: amphipod responses to fish predators in freshwater springs
.
Ecol. Monogr.
81
,
599
-
618
.
Glazier
,
D. S.
,
Borrelli
,
J. J.
and
Hoffman
,
C. L.
(
2020
).
Effects of fish predators on the mass-related energetics of a keystone freshwater crustacean
.
Biology
9
,
40
.
Gonzalez
,
A.
,
Pagé
,
B.
and
Weber
,
J.-M.
(
2015
).
Membranes as a possible pacemaker of metabolism in cypriniform fish: does phylogeny matter?
J. Exp. Biol.
218
,
2563
-
2572
.
Haggerty
,
C.
,
Hoggard
,
N.
,
Brown
,
D. S.
,
Clapham
,
J. C.
and
Speakman
,
J. R.
(
2008
).
Intra-specific variation in resting metabolic rate in MF1 mice is not associated with membrane lipid desaturation in the liver
.
Mech. Ageing Dev.
129
,
129
-
137
.
Harayama
,
T.
and
Riezman
,
H.
(
2018
).
Understanding the diversity of membrane lipid composition
.
Nat. Rev. Mol. Cell Biol.
19
,
281
-
296
.
Harrison
,
J. F.
(
2018
).
Approaches for testing hypotheses for the hypometric scaling of aerobic metabolic rate in animals
.
Am. J. Physiol. Regul. Integr. Comp. Physiol.
315
,
R879
-
R894
.
Harrison
,
J. F.
,
Biewener
,
A.
,
Bernhardt
,
J. R.
,
Burger
,
J. R.
,
Brown
,
J. H.
,
Coto
,
Z. N.
,
Duell
,
M. E.
,
Lynch
,
M.
,
Moffett
,
E. R.
,
Norin
,
T.
et al. 
(
2022
).
White paper: an integrated perspective on the causes of hypometric metabolic scaling in animals
.
Integr. Comp. Biol.
62
,
1395
-
1418
.
Hochachka
,
P. W.
and
Somero
,
G. N.
(
1973
).
Strategies of Biochemical Adaptation
.
Philadelphia
:
Saunders
.
Holden
,
K. G.
,
Hedrick
,
A. R.
,
Gangloff
,
E. J.
,
Hall
,
S. J.
and
Bronikowski
,
A. M.
(
2022
).
Temperature-dependence of metabolism and fuel selection from cells to whole organisms
.
J. Exp. Zool. A Ecol. Integr. Physiol.
337
,
199
-
205
.
Hulbert
,
A. J.
(
2007
).
Membrane fatty acids as pacemakers of animal metabolism
.
Lipids
42
,
811
-
819
.
Hulbert
,
A. J.
(
2008
).
The links between membrane composition, metabolic rate and lifespan
.
Comp. Biochem. Physiol. A
150
,
196
-
203
.
Hulbert
,
A. J.
(
2010
).
Metabolism and longevity: is there a role for membrane fatty acids?
Integr. Comp. Biol.
50
,
808
-
817
.
Hulbert
,
A. J.
and
Else
,
P. L.
(
1999
).
Membranes as possible pacemakers of metabolism
.
J. Theor. Biol.
199
,
257
-
274
.
Hulbert
,
A. J.
and
Else
,
P. L.
(
2000
).
Mechanisms underlying the cost of living in animals
.
Annu. Rev. Physiol.
62
,
207
-
235
.
Hulbert
,
A. J.
,
Faulks
,
S.
,
Buttemer
,
W. A.
and
Else
,
P. L.
(
2002a
).
Acyl composition of muscle membranes varies with body size in birds
.
J. Exp. Biol.
205
,
3561
-
3569
.
Hulbert
,
A. J.
,
Rana
,
T.
and
Couture
,
P.
(
2002b
).
The acyl composition of mammalian phospholipids: an allometric analysis
.
Comp. Biochem. Physiol.
132B
,
515
-
527
.
Hulbert
,
A. J.
,
Faulks
,
S. C.
,
Harper
,
J. M.
,
Miller
,
R. A.
and
Buffenstein
,
R.
(
2006
).
Extended longevity of wild-derived mice is associated with peroxidation-resistant membranes
.
Mech. Ageing Dev.
127
,
653
-
657
.
Hulbert
,
A. J.
,
Pamplona
,
R.
,
Buffenstein
,
R.
and
Buttemer
,
W. A.
(
2007
).
Life and death: metabolic rate, membrane composition, and life span of animals
.
Physiol. Rev.
87
,
1175
-
1213
.
Hulbert
,
A. J.
,
Kelly
,
M. A.
and
Abbott
,
S. K.
(
2014
).
Polyunsaturated fats, membrane lipids and animal longevity
.
J. Comp. Physiol. B
184
,
149
-
166
.
Husak
,
J. F.
and
Lailvaux
,
S. P.
(
2022
).
Conserved and convergent mechanisms underlying performance–life-history trade-offs
.
J. Exp. Biol.
225
,
jeb243351
.
Jimenez
,
A. G.
(
2016
).
Physiological underpinnings in life-history trade-offs in man's most popular selection experiment: the dog
.
J. Comp. Physiol. B
186
,
813
-
827
.
Khan
,
A. H.
,
Zou
,
Z.
,
Xiang
,
Y.
,
Chen
,
S.
and
Tian
,
X.-L.
(
2019
).
Conserved signaling pathways genetically associated with longevity across the species
.
Biochim. Biophys. Acta Mol. Basis Dis.
1865
,
1745
-
1755
.
Koch
,
R. E.
,
Buchanan
,
K. L.
,
Casagrande
,
S.
,
Crino
,
O.
,
Dowling
,
D. K.
,
Hill
,
G. E.
,
Hood
,
W. R.
,
McKenzie
,
M.
,
Mariette
,
M. M.
,
Noble
,
D. W. A.
et al. 
(
2021
).
Integrating mitochondrial aerobic metabolism into ecology and evolution
.
Trends Ecol. Evol.
36
,
321
-
332
.
Konarzewski
,
M.
and
Książek
,
A.
(
2013
).
Determinants of intra-specific variation in basal metabolic rate
.
J. Comp. Physiol. B
183
,
27
-
41
.
Kooijman
,
S. A. L. M.
(
2010
).
Dynamic Energy Budget Theory for Metabolic Organization
.
Cambridge
,
UK
:
Cambridge University Press
.
Koteja
,
P.
(
2000
).
Energy assimilation, parental care and the evolution of endothermy
.
Proc. R. Soc. Lond. B
267
,
479
-
484
.
Kozłowski
,
J.
,
Konarzewski
,
M.
and
Czarnołęski
,
M.
(
2020
).
Coevolution of body size and metabolic rate in vertebrates: a life-history perspective
.
Biol. Rev.
95
,
1393
-
1417
.
Kumar
,
S. A.
,
Albrecht
,
T.
,
Kauzál
,
O.
and
Tomášek
,
O.
(
2021
).
No evidence for trade-offs between lifespan, fecundity, and basal metabolic rate mediated by liver fatty acid composition in birds
.
Front. Cell Dev. Biol.
9
,
638501
.
Lilja
,
C.
(
1982
).
Postnatal growth and organ development in the fieldfare and the Jackdaw (Turdus pilaris and Corvus monedula)
.
Growth
46
,
367
-
387
.
Malkoc
,
K.
,
Casagrande
,
S.
and
Hau
,
M.
(
2021
).
Inferring whole-organism metabolic rate from red blood cells in birds
.
Front. Physiol.
12
,
691633
.
Mauro
,
A. A.
and
Ghalambor
,
C. K.
(
2020
).
Trade-offs, pleiotropy, and shared molecular pathways: a unified view of constraints on adaptation
.
Integr. Comp. Biol.
60
,
332
-
347
.
Metcalfe
,
N. B.
and
Olsson
,
M.
(
2022
).
How telomere dynamics are influenced by the balance between mitochondrial efficiency, reactive oxygen species production and DNA damage
.
Mol. Ecol. Molecular Ecology
31
,
6040
-
6052
.
Moghadam
,
N. N.
,
Holmstrup
,
M.
,
Pertoldi
,
C.
and
Loeschcke
,
V.
(
2013
).
Age-induced perturbation in cell membrane phospholipid fatty acid profile of longevity- selected Drosophila melanogaster and corresponding control lines
.
Exp. Gerontol.
48
,
1362
-
1368
.
Munro
,
D.
and
Blier
,
P. U.
(
2012
).
The extreme longevity of Arctica islandica is associated with increased peroxidation resistance in mitochondrial membranes
.
Aging Cell
11
,
845
-
855
.
Pannorfi
,
R.
,
Zee
,
B. M.
,
Vatnick
,
I.
,
Berner
,
N.
and
Hiebert
,
S. M.
(
2012
).
Dietary lipid saturation influences environmental temperature preference but not resting metabolic rate in the Djungarian hamster (Phodopus sungorus)
.
Physiol. Biochem. Zool.
85
,
405
-
414
.
Park
,
N. R.
,
Taylor
,
H. A.
,
Andreasen
,
V. A.
,
Williams
,
A. S.
,
Niitepőld
,
K.
,
Yap
,
K. N.
,
Kavazis
,
A. N.
and
Hood
,
W. R.
(
2020
).
Mitochondrial physiology varies with parity and body mass in the laboratory mouse (Mus musculus)
.
J. Comp. Physiol. B
190
,
465
-
477
.
Price
,
E. R.
,
Sirsat
,
T. S.
,
Sirsat
,
S. K. G.
,
Curran
,
T.
,
Venables
,
B. J.
and
Dzialowski
,
E. M.
(
2018
).
The membrane pacemaker hypothesis: novel tests during the ontogeny of endothermy
.
J. Exp. Biol.
221
,
jeb174466
.
Rodríguez
,
E.
,
Dégletagne
,
C.
,
Hagen
,
T. M.
,
Abele
,
D.
and
Blier
,
P. U.
(
2019
).
Mitochondrial traits previously associated with species maximum lifespan do not correlate with longevity across populations of the bivalve Arctica islandica
.
Front. Physiol.
10
,
946
.
Roussel
,
D.
,
Boël
,
M.
and
Romestaing
,
C.
(
2018
).
Fasting enhances mitochondrial efficiency in duckling skeletal muscle by acting on the substrate oxidation system
.
J. Exp. Biol.
221
,
jeb172213
.
Roussel
,
D.
,
Marmillot
,
V.
,
Monternier
,
P. A.
,
Bourguignon
,
A.
,
Toullec
,
G.
,
Romestaing
,
C.
and
Duchamp
,
C.
(
2020
).
Skeletal muscle metabolism in sea-acclimatized king penguins. II. Improved efficiency of mitochondrial bioenergetics
.
J. Exp. Biol.
223
,
jeb233684
.
Sadowska
,
J.
,
Gębczyński
,
A. K.
and
Konarzewski
,
M.
(
2013
).
Basal metabolic rate is positively correlated with parental investment in laboratory mice
.
Proc. R. Soc. B
280
,
20122576
.
Salin
,
K.
,
Auer
,
S. K.
,
Rey
,
B.
,
Selman
,
C.
and
Metcalfe
,
N. B.
(
2015
).
Variation in the link between oxygen consumption and ATP production, and its relevance for animal performance
.
Proc. R. Soc. B
282
,
20151028
.
Shmookler Reis
,
R.
,
Xu
,
L.
,
Lee
,
H.
,
Chae
,
M.
,
Thaden
,
J.
,
Bharill
,
P.
,
Tazearslan
,
C.
,
Siegal
,
E.
,
Alla
,
R.
,
Zimniak
,
P.
et al.  (
2011
).
Modulation of lipid biosynthesis contributes to stress resistance and longevity of C. elegans mutants
.
Aging
3
,
125
-
147
.
Somjee
,
U.
,
Powell
,
E. C.
,
Hickey
,
A. J.
,
Harrison
,
J. F.
and
Painting
,
C. J.
(
2021
).
Exaggerated sexually selected weapons maintained with disproportionately low metabolic costs in a single species with extreme size variation
.
Funct. Ecol.
35
,
2282
-
2293
.
Starck
,
J. M.
and
Ricklefs
,
R. E.
(ed.) (
1998
).
Avian Growth and Development
.
New York
:
Oxford University Press
.
Stawski
,
C.
,
Valencak
,
T. G.
,
Ruf
,
T.
,
Sadowska
,
E. T.
,
Dheyongera
,
G.
,
Rudolf
,
A.
,
Maiti
,
U.
and
Koteja
,
P.
(
2015
).
Effect of selection for high activity-related metabolism on membrane phospholipid fatty acid composition in bank voles
.
Physiol. Biochem. Zool.
88
,
668
-
679
.
St. Mary
,
C.
,
Powell
,
T. H. Q.
,
Kominoski
,
J. S.
and
Weinert
,
E.
(
2021
).
Rescaling biology: increasing integration across biological scales and subdisciplines to enhance understanding and prediction
.
Integr. Comp. Biol.
61
,
2031
-
2037
.
Sukhotin
,
A.
,
Fokina
,
N.
,
Ruokolainen
,
T.
,
Bock
,
C.
,
Pörtner
,
H.-O.
and
Lannig
,
G.
(
2017
).
Does the membrane pacemaker theory of metabolism explain the size dependence of metabolic rate in marine mussels?
J. Exp. Biol.
220
,
1423
-
1434
.
Swanson
,
D. L.
,
McKechnie
,
A. E.
and
Vézina
,
F.
(
2017
).
How low can you go? An adaptive energetic framework for interpreting basal metabolic rate variation in endotherms
.
J. Comp. Physiol. B
187
,
1039
-
1056
.
Tollis
,
M.
,
Robbins
,
J.
,
Webb
,
A. E.
,
Kuderna
,
L. F. K.
,
Caulin
,
A. F.
,
Garcia
,
J. D.
,
Bèrube
,
M.
,
Pourmand
,
N.
,
Marques-Bonet
,
T.
,
O'Connell
,
M. J.
et al. 
(
2019
).
Return to the sea, get huge, beat cancer: an analysis of cetacean genomes including an assembly for the humpback whale (Megaptera novaeangliae)
.
Mol. Biol. Evol.
36
,
1746
-
1763
.
Toyomizu
,
M.
,
Kikusato
,
M.
,
Kawabata
,
Y.
,
Azad
,
M. A. K.
,
Inui
,
E.
and
Amo
,
T.
(
2011
).
Meat-type chickens have a higher efficiency of mitochondrial oxidative phosphorylation than laying-type chickens
.
Comp. Biochem. Physiol. A
159
,
75
-
81
.
Turner
,
N.
,
Else
,
P. L.
and
Hulbert
,
A. J.
(
2003
).
Docosahexaenoic acid (DHA) content of membranes determines molecular activity of the sodium pump: implications for disease states and metabolism
.
Naturwissenschaften
90
,
521
-
523
.
Turner
,
N.
,
Haga
,
K. L.
,
Hulbert
,
A. J.
and
Else
,
P. L.
(
2005
).
Relationship between body size, Na+–K+ -ATPase activity, and membrane lipid composition in mammal and bird kidney
.
Am. J. Physiol. Regul. Integr. Comp. Physiol.
288
,
R301
-
R310
.
Valencak
,
T. G.
and
Ruf
,
T.
(
2007
).
N-3 polyunsaturated fatty acids impair lifespan but have no role for metabolism
.
Aging Cell
6
,
15
-
25
.
Valencak
,
T. G.
and
Ruf
,
T.
(
2013
).
Phospholipid composition and longevity: lessons from Ames dwarf mice
.
Age
35
,
2303
-
2313
.
West
,
G. B.
and
Brown
,
J. H.
(
2005
).
The origin of allometric scaling laws in biology from genomes to ecosystems: towards a quantitative unifying theory of biological structure and organization
.
J. Exp. Biol.
208
,
1575
-
1592
.
West
,
G. B.
,
Brown
,
J. H.
and
Enquist
,
B. J.
(
1997
).
A general model for the origin of allometric scalling laws in biology
.
Science.
276
,
122
-
126
.
White
,
C. R.
and
Kearney
,
M. R.
(
2014
).
Metabolic scaling in animals: methods, empirical results, and theoretical explanations
.
Compr. Physiol.
4
,
231
-
256
.
White
,
C. R.
,
Alton
,
L. A.
,
Bywater
,
C. L.
,
Lombardi
,
E. J.
and
Marshall
,
D. J.
(
2022
).
Metabolic scaling is the product of life-history optimization
.
Science
377
,
834
-
839
.
Wone
,
B. W. M.
,
Donovan
,
E. R.
,
Cushman
,
J. C.
and
Hayes
,
J. P.
(
2013
).
Metabolic rates associated with membrane fatty acids in mice selected for increased maximal metabolic rate
.
Comp. Biochem. Physiol. A
165
,
70
-
78
.

Competing interests

The author declares no competing or financial interests.