rsfs.royalsocietypublishing.org
Research
Cite this article: Gardner A. 2017 The
purpose of adaptation. Interface Focus 7:
20170005.
http://dx.doi.org/10.1098/rsfs.2017 .0005
One contribution of 20 to a theme issue ‘New
trends in evolutionary biology: biological,
philosophical and social science perspectives’.
Subject Areas:
biomathematics
Keywords:
natural selection, fundamental theorem,
Darwinism, inclusive fitness, socia l evolution,
superorganism
Author for correspondence:
Andy Gardner
e-mail: andy.gardner@st-andrews.ac.uk
The purpose of adaptation
Andy Gardner
School of Biology, University of St Andrews, Dyers Brae, St Andrews KY16 9TH, UK
AG, 0000-0002-1304-3734
A central feature of Darwin’s theory of natural selection is that it explains the
purpose of biological adaptation. Here, I: emphasize the scientific impor-
tance of understanding what adaptations are for, in terms of facilitating
the derivation of empirically testable predictions; discuss the population
genetical basis for Darwin’s theory of the purpose of adaptation, with refer-
ence to Fisher’s ‘fundamental theorem of natural selection’; and show that a
deeper understanding of the purpose of adaptation is achieved in the context
of social evolution, with reference to inclusive fitness and superorganisms.
1. The purpose of adaptation
Darwinism is a theory of the process of adaptation, i.e. the appearance of design
in the biological world. The problem of how to explain adaptation is an ancient
one, and it famously provided the basis for William Paley’s [ 1] argument for
the existence of an intelligent, divine designer. This problem was decisively
solved by Charles Darwin [2], whose theory of evolution by natural selec-
tion—in which heritable variations associated with greater survival and
reproductive success are identified as being more likely to accumulate in natural
populations—explained the adaptation of organisms in purely naturalistic,
mechanical terms.
Darwinism is also a theory of the purpose of adaptation, i.e. the design
objective of biological organisms. Darwin argued that, as a consequence of
natural selection preferentially retaining those heritable variations associated
with greater survival and reproductive success, organisms will appear as if
they are designed to maximize their survival and reproductive success—that
is, their Darwinian fitness.
Indeed, Darwinism is the only scientific theory of the purpose of adaptation.
While some continue to maintain that mystical forces—such as external, divine
interv entions or internal, vitalis tic driv es—ar e responsible for adaptation, none
of these hypotheses yield clearly justified, testable predictions as to what the result-
ing adaptation is actually for (table 1). The question of purpose is often dodged, or
else a purpose is asserted without clear justification. Strangely, whereas one might
expect different drivers of adaptation to be associated with different design objec-
tives, those who dispute natur al selection’s role in biological adaptation often
nevertheless regard organisms as striving to maximize their Darwinian fitness.
For example, anti-Darwinis t James Shapiro [3, p. 137] views organisms as vitalistic
beings that inexplicab ly strive to maximize their ’survival, gro wth and repr oduc-
tion’ for reasons that hav e nothing to do with the action of natur al selection.
The idea of adaptive purpose does not imply that the design objective is
perfectly realized. Paley [1] emphasized that the hallmark of design is not per-
fection but rather that an organism’s or organ’s apparent purposiveness is
evident from its adaptive complexity, or ‘contrivance and relation of parts’.
Comparing organisms and their component parts to human artefacts like
pocket watches, he noted that even a broken watch manifests purposiveness
in its intricate design. However, Paley—and Darwin after him—marvelled at
how, in practice, nature abounds with exquisite adaptation that seems to
border upon perfection.
In recognition of the distinction between purposefulness and perfection,
it is useful to separate adaptationism into weak versus strong forms [4].
&
2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution
License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original
author and source are credited.
Downloaded from https://royalsocietypublishing.org/ on 24 June 2022
Weak adaptationism is the idea that organisms manifest
apparent design and purpose, on account of the action of
natural selection. Weak adaptationism makes no commit-
ment to the idea of perfection, and recognizes that multiple
forces in addition to natural selection—such as spontaneous
mutation and random drift—contribute to the evolutionary
process in an often deleterious way. By contrast, strong adap-
tationism is a caricature of Darwinism in which organisms
are regarded as entirely optimal in their form and their be-
haviour. As a scientific hypothesis, strong adaptation is
trivially falsified by empirical observation.
Yet, strong adaptationism is the central conceit of a hugely
successful programme of scientific research, based upon optim-
ization theory [5]. Practitioners of the optimiza tion approach
consider wha t organisms would be like if they were optimally
fitted to the particular circums tances and challenges of their
environment, and thereby deriv e predictions that although
acknowledged to be only approximate are nevertheless, in
practice, often useful ones. Indeed, when there is a marked dis-
crepancy between prediction and empirical observation, this
usually means that a key aspect of the organism’s biology
has not been properly understood and remains to be incorpor-
ated into the optimiza tion model. Accordingly , by an itera tiv e
process of model adjustment, testable prediction and empirical
test, the optimiza tion approach pro vides an investiga tiv e tool
by which scientists learn how the biological world works.
The optimization approach is made possible only because
Darwinism yields such a clear prediction as to what biologi-
cal adaptation is actually for. Without knowing what
organisms are designed to do, it would be impossible to
decide which of a range of possible phenotypes represents
the optimum. This point clarifies why typical critiques of
the adaptationist research programme are misguided: the
perennial complaint that adaptationists fail to consider
‘other hypotheses’—for instance, that organisms may be to
some degree maladapted [6]—mistakes adaptationism for a
hypothesis when it is actually a research method. The mala-
daptation view is strictly correct but also completely useless
if it does not yield specific, testable predictions. And it is det-
rimental to scientific progress if it obstructs the application of
the successful adaptationist approach (cf. [7]).
2. The population genetics of purpose
The formal basis for evolutionary theory is the domain of
theoretical population genetics. Accordingly, it is proper
that Darwin’s theory of the purpose of adaptation be
framed in genetical terms. This was accomplished by
Ronald Fisher [8,9], with what he termed the ‘fundamental
theorem of natural selection’ (box 1). Fisher’s theorem pro-
vides a formal foundation for the view that natural
selection leads organisms to maximize their fitness—in the
sense that it will appear as if this is their purpose, rather
than in the sense that they will necessarily perfectly realize
this goal—and he rightly regarded it as taking centre stage
in his masterpiece The genetical theory of natural selection [8].
But it has had a turbulent history.
Fisher’s clearest verbal statement of the fundamental
theorem is: the increase of average fitness of the population ascrib-
able to natural selection is equal to the genetic variance of fitness
1
[9]. The salient point here is that, as variances are non-
negative, there is a fundamental directionality to the action
of natur al selection, alway s pointing in the direction of increased
fitness. That is, Fisher’s theorem describes the optimizing quality
of natural selection.
Despite Fisher’s clear focus on the immediate action of
natural selection, the fundamental theorem has long been
interpreted as a statement about the total change in the popu-
lation’s fitness from one generation to the next. The idea that
this would always increase was at first uncritically accepted
and then, decades later, suddenly rejected when simple
mathematical models revealed that population fitness is
capable of decreasing from generation to generation [13].
This led to a widely held view that the fundamental theorem
is not generally correct and—more damagingly—that any
notion of fitness maximization, or of there being a clear
purpose to Darwinian adaptation, is embarrassingly naive.
With regard to its correctness, George Price’s [14] careful
exposition of Fisher’s derivation established that the fundamen-
tal theor em is indeed mathematically sound (box 1). Price
clarified that the fundamental theorem concerns only the part
of change in av er age fitness across the individuals in the popu-
lation that is due to the action of natur al selection per se and not
to other, non-Darwinian changes that Fisher [8] referred to col-
lectively as deterioration of the environment. Figure 1 provides an
illustr ation of which parts of the evolutionary change in av er-
age fitness ar e ascribed by Fisher to the action of natur al
selection versus environmental deterioration.
Price admitted to being disappointed that this partial
result ‘does not say more’—presumably feeling that a descrip-
tion of the entirety of evolutionary change in population
fitness would be preferable. However, it is precisely because
the fundamental theorem is a partial result that it is so impor-
tant [15]. In isolating the part of the evolutionary process
responsible for adaptation—that is, natural selection—the fun-
damental theorem illuminates what is being adapted (the
individual) and for what purpose (maximizing her fitness).
Those individuals who achieve higher fitness are those
whose heritable constitutions will predominate in future gen-
erations, and accordingly it is these individuals who point out
the direction of the population’s evolutionary future.
For example, in the scenario depicted in figure 1, individ-
uals vary in their level of selfishness, with relatively selfish
individuals having relatively higher fitness and relatively
selfless individuals having relatively lower fitness, in com-
parison with their peers. Accordingly, the fitness-
maximizing quality of natural selection leads to an increase
in selfishness—as this is what directly increases the individ-
ual’s fitness. (A secondary consequence is that all
genotypes suffer reduced fitness on account of their carriers’
social partners now having a greater tendency to behave self-
ishly, and this deterioration in the social environment results
in a net decrease in average fitness.) That is, the idea that indi-
viduals strive to maximize their fitness correctly predicts the
direction of evolutionary change.
It is not clear why a mathematical account of the total
change in population fitness would be of much interest
Table 1. Darwinism is the only scientific (i.e. predictive) theory of the
purpose of adaptation.
Darwinism intelligent design, etc.
process natural selection divine intervention, etc.
purpose maximize fitness ?
rsfs.royalsocietypublishing.org Interface Focus 7: 20170005
2
Downloaded from https://royalsocietypublishing.org/ on 24 June 2022
anyway. The relationship between population composition
and population fitness does not point out the direction of
the future. For example, in the above scenario, a population
in which selflessness predominates enjoys greater fitness, but
evolutionary change proceeds in the exact opposite direction:
increased selfishness. This recovers the population geneticists’
discovery that population fitness is not maximized [13], and
makes clear that what they had rejected was not—as they
had supposed—the idea that fitness is maximized, but rather
the idea that adaptation works ‘for the good of the species’.
3. The purpose of social adaptation
The personal-fitness-maximization design principle emerging
from Fisher’s fundamental theorem is not a fully general
result. It may fail when social interactions occur between gen-
etic relatives. The application of the fundamental theorem to
social evolution serves to underline how Fisher intended the
theorem to be understood and yields deeper insights into the
purpose of adaptation.
In the absence of social interaction between genetic rela-
tives—including, for example, the model of selfishness
presented above—any correlation between an individual’s
genotype and her fitness may be taken to reflect a direct,
causal relationship
2
(figure 2a). That is, if an individual’s heri-
table constitution is associated with higher fitness, this is
because it actually increases her fitness. Accordingly, on
account of natural selection favouring those traits that are
associated with higher fitness, individuals will appear
designed to maximize their fitness.
Box 1. Fundamental theorem of natural selection.
Price’s equation—In very general terms, evolutionary change can be expressed as a sum of selection and transmission
components. This is captured by Price’s [10,11] equation, based upon a general mapping between two populations of
entities. Typically, one of these populations is descended from the other, and they are denoted ’parents’ and ’offspring’,
respectively.
To derive Price’s equation, assign every individual in the parent population a unique index i [ I and assign indices to
every individual in the offspring population according to which parent individual they are descended from. When a
given individual in the offspring population has more than one ancestor in the parent population (as in a sexual population),
each ancestor is awarded its genetic share of the offspring. Denote the relative abundance of the ith parent as q
i
, where
P
I
q
i
¼ 1. Typically, q
i
¼ 1/N, where N is the number of individuals in the parent population. Similarly, denote the relative
abundance of the ith parent’s descendants in the offspring population as q
i
0
. This allows a definition of the relative fitness of
any individual in the parent population as w
i
¼ q
i
0
/q
i
. Finally, assign each individual in the parent population a value z
i
for
any character of interest, and denote the average character value of their offspring as z
i
0
¼ z
i
þ Dz
i
. The average character
value over the parent and offspring populations is E(z) ¼
P
I
q
i
z
i
and E(z
0
) ¼
P
I
q
i
0
z
i
0
, respectively. Hence, the change in
the population average value of the character of interest is DE(z) ¼ E(z
0
) 2 E(z), which may be re-written as:
DEðzÞ¼covðw, zÞþEðwDzÞ, ðB1:1Þ
where: cov denotes a covariance and E an expectation, each taken over the set of all individuals in the population. The covari-
ance term describes the change ascribed to the statistical association between an individual’s character and its relative fitness,
and defines selection. The expectation term describes the change ascribed to character differences between a parent and her
offspring, and defines changes associated with transmission.
Natural selection is a particular type of selection that involves genes, the fundamental units of heredity. Here, the char-
acter of interest is not an individual’s phenotype per se, but rather her (additive) genetic value for any phenotypic character of
interest, i.e. the heritable portion of her phenotype [10,12]. Moreover, change is defined across a single generation. Denoting
the genetic value by g
i
, the action of natural selection is given by
D
NS
EðgÞ¼covðw, gÞ: ðB1:2Þ
That is, the change in the average value of the heritable character ascribed to the action of natural selection is equal to the
statistical covariance of that character and relative fitness, across all the individuals in the population. Importantly, equation
(B 1.2) describes the action of natural selection only, and not the entirety of evolutionary change.
Without loss of generality, this may be re-written as
D
NS
EðgÞ¼
b
ðw, gÞ varðgÞ, ðB1:3Þ
where var(g) is the heritable variance in the character of interest and
b
(w, g) ¼ cov(w, g)/var(g) is the least-squares linear
regression of relative fitness against the heritable character. This form of Price’s equation highlights the basic Darwinian
logic that natural selection will act to drive change in the heritable constitution of the population (D
NS
E(g) = 0) if and
only if there is heritable variation (var(g) . 0) in a character that is associated with individual fitness (
b
(w, g) = 0).
Fundamental theorem—If the character of interest is taken to be fitne ss itself, then this may be decomposed into its gen-
etical and e nvironmental components, w ¼ g þ e.Itfollowsthat
b
(w, g) ¼ 1,andsubstitutingthisintoequation(B1.3)
obtains:
D
NS
EðgÞ¼varðgÞ: ðB1:4Þ
That is, the increase in average fitness ascribed to natural selection is equal to the genetic variance in fitness.
rsfs.royalsocietypublishing.org Interface Focus 7: 20170005
3
Downloaded from https://royalsocietypublishing.org/ on 24 June 2022
By contrast, if genetic relatives interact, then any corre-
lation between an individual’s genotype and her fitn ess
may i nstead be due to her genotype being correlated with
that of her social p artner, and her social partner’s geno-
type mo dulating her own fitness (figure 2b). That is, an
individual’s heritable consti tution might be a ssociated
with higher fitness—and hence favoured by natural selec-
tion—even if it actually direct ly decreases her fitness.
Accordingly, natural selection need not lead the individ ual
to appear designed to maximize her person al fitness.
To be clear, social interaction between genetic relatives
does not invalidate the fundamental theorem (the increase
of average fitness of the population ascribable to natural
selection is equal to the genetic variance of fitness, irrespec-
tive of social interaction between relatives; box 1). It merely
prevents the fitness-maximization design interpretation
from being drawn. So it is revealing that Fisher felt it
necessary to assume the absence of social interaction between
genetic relatives
3
in his prelude to the fundamental theorem.
That Fisher made this assumption indicates that he, too,
drew the fitness-maximization design interpretation from
his theorem.
Does this correlationcausation difficulty mean that
natural selection is not responsible for organismal design
in the context of social interaction between genetic relatives?
Fortunately, this is not the case. The fund amental theorem
may be reformu lated using an alternative fitness
measure—inclusive fitness—which is defined by subtracting
from the ind ividual’s personal fitness all fitness effects due
to the actions of her social partners, and adding all the fitness
effects experienced by the focal individual’s social partners
as a c onsequence of her own actions, each increment or
decrement being weighted by the focal individual’s genetic
relatedness to the corresponding recipient (box 2; figure 2c;
individual level of selfishness
natural
selection
individual fitness
average
fitness
average
fitness
average
fitness
deterioration of
the environment
individual level of selfishness individual level of selfishness
Figure 1. Change in average fitness ascribed to natural selection versus deterioration of the environment. In this example, each individual achieves a higher fitness if
she behaves selfishly. Natural selection favours the fittest—i.e. most selfish—individuals, and the direct effect of this is to increase average fitness. However, the
consequent deterioration of the social environment—owing to an increased average level of selfishness—leads individuals of all genotypes to have reduced fitness.
The net effect is that average fitness decreases from one generation to the next.
C
C
rr
C
+B
+B
(b) personal fitness (social)(a) personal fitness (non-social) (c) inclusive fitness (social)
Figure 2. Personal fitness and inclusive fitness. (a) In the absence of social interaction between genetic relatives, the correlation between an individual’s genotype
and her personal fitness reflects the direct causal impact of her genotype on her personal fitness (2C ). (b) In the context of social interaction between genetic
relatives, the correlation between an individual’s genotype and her personal fitness reflects the direct causal impact of her genotype on her personal fitness (2C )
plus the correlation between her genotype and her social partner’s genotype (r) multiplied by the causal impact of her social partner’s genotype on her own
personal fitness (þ B). (c) In the context of social interaction between genetic relatives, the correlation between an individual’s genotype and her inclusive fitness
reflects the direct causal impact of her genotype on her personal fitness (2C) plus the causal impact of her genotype on her social partner’s personal fitness (þB)
multiplied by the relatedness valuation (r) she places upon her social partner’s fitness.
rsfs.royalsocietypublishing.org Interface Focus 7: 20170005
4
Downloaded from https://royalsocietypublishing.org/ on 24 June 2022
[19]). That is, the fundamental theorem may be alternatively
expressed as: the change in average inclusive fitness ascribed to
the action of natural selection is equal to the genetic varianc e in
inclus ive fitness (box 2; cf. [20]).
By virtue of its definition, inclusive fitness is under the
individual’s full control, such that the correlation between
an individual’s genotype and her inclusive fitness reflects a
direct causal relationship. Accordingly, as a consequence of
the action of natural selection the individual appears
designed to maximize her inclusive fitness.
Though Darwinian ada ptation is conventionally viewed
as occurring at t he level of the individual organism, recent
years have s een growin g i nterest in the idea that whole
social groups may be viewed as ‘superorganisms’ in their
own right, wielding their own adaptations for their own
purposes. In some cases, this is simply a return to
the woolly thinking of the first half of the twentieth
century, w hen many biologists unreflectively regarded
natural selection as always working for the good of the
group or species. However, in other cases, there is a legiti-
mate recognition that—on rare, but i mportant, occasions—
groups of socially interacting individuals have undergone
a major transition in indivi duality, such as the transition
from unicellular to multicellular life, and from cooperative
breeding to eusociality [21,22].
The fundamental theorem approach may be brought to
bear on this question of group-level adaptation. Specifically,
the action of natural selection may be decomposed into the
component operating at the within-group level and the com-
ponent operating at the between-group level, and in taking
group fitness itself to be the character of focal interest a fun-
damental theorem of multi-level selection emerges that states:
the change in average group fitness owing to the action of natural
selection is equal to the genetic variance in group fitness if and
only if there is no selection within groups (box 3; [24]). This
result clarifies why certain animal groups—like the Portu-
guese man-of-war, a jellyfish-like colony of clonally related
zooids, within which there is essentially no genetic variation
and hence no scope for within-colony selection—can be con-
sidered adapted superorganisms in their own right, but most
animal groups—within which there is scope for conflict as
well as collaboration—cannot.
Box 2. Kin selection and inclusive fitness.
Kin selection—On the assumption that there is heritable variation in a focal character (var(g) . 0) then, from box 1 equation
(B 1.3), natural selection will act to increase the average value of this character (D
NS
E(g) . 0) if and only if the character is
positively associated with individual fitness (
b
(w, g) . 0). There are two ways for a heritable character to be associated
with greater personal fitness: first, the character may directly improve the individual’s fitness (direct fitness benefit); and,
second, the character may be present among the individual’s social partners, such that its expression increases the individ-
ual’s fitness (indirect fitness benefit). Using the mathematics of multiple least-squares regression, this may be expressed as:
b
ðw, gÞ¼
b
ðw, g j g
0
Þþ
b
ðw, g
0
j gÞ
b
ðg
0
, gÞ, ðB2:1Þ
where
b
(w, g j g
0
) ¼ 2C is the effect of the individual’s own heritable character g upon her own fitness w, holding fixed the
heritable character of her social partner g
0
;
b
(w, g
0
j g) ¼ B is the effect of the individual’s social partner’s heritable character g
0
upon her own fitness w, holding fixed her own heritable character g; and
b
(g
0
, g) ¼ r is the statistical association between
these social partners’ heritable characters (i.e. the kin-selection coefficient of genetic relatedness; [18]). For simplicity, equation
(B 2.1) assumes that the focal individual has only a single social partner, but the approach readily extends to scenarios in
which the focal individual has multiple social partners.
Accordingly, the condition for natural selection to favour an increase in the average value of the heritable character
(
b
(w, g) . 0) is 2C þ Br . 0, i.e. Hamilton’s [19] rule of kin selection, expressed here in its personal fitness (or ‘neigh-
bour-modulated fitness’) form.
Inclusive fitness—Noting that the statistical aggregate impact of social partners on the fitness of individuals within a
population is identical to the statistical aggregate impact of individuals upon their social partners in that population (i.e.
b
(w, g
0
j g) ¼
b
(w
0
, g j g
0
), where w
0
denotes the relative fitness of an individual’s social partner), the kin selection partition
of natural selection into its direct and indirect components may alternatively be expressed in its inclusive fitness form:
b
ðw, gÞ¼
b
ðw, g j g
0
Þþ
b
ðw
0
, g j g
0
Þ
b
ðg
0
, gÞ: ðB2:2Þ
With some algebra, the action of natural selection can be expressed as:
D
NS
EðgÞ¼covðh, gÞ¼
b
ðh, gÞvarðgÞ, ðB2:3Þ
where h ¼
b
(w, g j g
0
)g þ
b
(w
0
, g j g
0
)
b
(g
0
, g)g is the focal individual’s inclusive fitness, i.e. the sum of her heritable character’s
impact on her personal fitness and also on the personal fitness of her social partner, the latter being weighted by the degree of
genetic relatedness between the two parties [19].
Fundamental theorem—If the character of interest is taken to be inclusive fitness itself, then this may be decomposed into its
genetical and environmental components, h ¼ g þ e. It follows that
b
(h, g) ¼ 1, and substituting this into equation (B 2.3)
obtains
D
NS
EðgÞ¼varðgÞ: ðB2:4Þ
That is, the increase in average inclusive fitness ascribed to natural selection is equal to the genetic variance in inclusive
fitness (cf. [20]).
rsfs.royalsocietypublishing.org Interface Focus 7: 20170005
5
Downloaded from https://royalsocietypublishing.org/ on 24 June 2022
4. Conclusion
Explaining the purpose of adaptation is a central achievement
of Darwinism. Being able to predict what it is that organisms
are striving to achieve not only sets Darwinism apart from
intelligent design and other forms of mysticism, but also sets
the hugely successful adaptationist research programme
apart from scientifically sterile anti-adaptationist thinking
within evolutionary biology. Getting to grips with the purpose
of adaptation is especially important in the context of social
evolution, where different biological agents are expected to
have different, conflicting purposes, and where naive notions
of group-level adaptation are liable to be strongly misleading.
Happily, there is a maturing body of formal theory that equips
the evolutionary biologist with the tools required to navigate
these issues and to break new Darwinian ground.
Data accessibility.
This article has no additional data.
Competing interests. I declare I have no competing interests.
Funding. I am supported by an Independent Research Fellowship
awarded by the Natural Environment Research Council (NE/
K009524/1).
Acknowledgement. I thank Steven Frank and two anonymous reviewers
for helpful comments and discussion.
Endnotes
1
In full: ‘The increase of average fitness of the population ascribable
to a change in gene frequency dp will be 2
a
dp. Hence the rate of
increase in the average value of the Malthusian parameter ascribable
to natural selection acting on a single factor is 2pqa
a
, and the rate of
increase due to all factors will be 2
P
pqa
a
, equal to the genetic var-
iance of fitness due to all factors’ [9].
2
Spurious correlations between genotype and fitness may be classi-
fied as owing to chance (in which case, they may be removed by
defining fitness in terms of an expectation taken over uncertainty;
[16]) or to class (which is explicitly controlled for in Fisher’s [8] treat-
ment, but neglected here for simplicity; see also Price & Smith [17]).
3
‘There will also, no doubt, be indirect effects in cases in which an
animal favours or impedes the survival or reproduction of its rela-
tives; as a suckling mother assists the survival of her child, as in
mankind a mother past bearing may greatly promote the reproduc-
tion of her children, as a foetus and in less measure a sucking child
inhibits conception, and most strikingly of all as in the services of
neuter insects to their queen. Nevertheless such indirect effects will
in very many cases be unimportant compared to the effects of
personal reproduction’ [8, p. 27].
References
1. Paley W. 1802 Natural theology. London, UK:
Wilks & Taylor.
2. Darwin CR. 1859 On the origin of species. London,
UK: John Murray.
3. Shapiro JA. 2011 Evolution: a view from the 21st
century. Upper Saddle River, NJ: FT Press Science.
4. Gardner A. 2009 Adaptation as organism design.
Biol. Lett. 5, 861 864. (doi:10.1098/rsbl.2009.0674)
5. Parker GA, Maynard Smith J. 1990 Optimality theory
in evolutionary biology. Nature 348, 27 33.
(doi:10.1038/348027a0)
6. Gould SJ, Lewontin RC. 1979 The spandrels of San
Marco and the Panglossian paradigm: a critique of
the adaptationist programme. Proc. R. Soc. Lond. B
205, 581 598. (doi:10.1098/rspb.1979.0086)
7. Welch JJ. 2016 What’s wrong with evolutionary
biology? Biol. Philos. 32, 263 279. (doi:10.1007/
s10539-016-9557-8)
8. Fisher RA. 1930 The genetical theory of natural
selection. Oxford, UK: Clarendon Press.
9. Fisher RA. 1941 Average excess and average
effect of a gene substitution. Ann. Eugenics
11, 53 63. (doi:10.1111/j.1469-1809.1941.
tb02272.x)
10. Price GR. 1970 Selection and covariance.
Nature 227, 520 521. (doi:10.1038/227520a0)
11. Price GR. 1972 Extension of covariance selection
mathematics. Ann. Hum. Genet. 35, 485490.
(doi:10.1111/j.1469-1809.1957.tb01874.x)
12. Fisher RA. 1918 The correlation between relatives
on the supposition of Mendelian inheritance.
Trans. R. Soc. Edinb. 52, 399433. (doi:10.1017/
S0080456800012163)
13. Moran PAP. 1964 On the nonexistence of adaptive
topographies. Ann. Hum. Genet. 27, 383393.
(doi:10.1111/j.1469-1809.1963.tb01535.x)
14. Price GR. 1972 Fisher’s ‘fundamental
theorem’ made clear. Ann. Hum. Genet.
36, 129 140. (doi:10.1111/j.1469-1809.1972.
tb00764.x)
15. Grafen A. 2003 Fisher the evolutionary biologist.
J. R. Stat. Soc. D 52, 319 329. (doi:10.1111/1467-
9884.00362)
16. Grafen A. 2000 Developments of the Price equation
and natural selection under uncertainty. Proc. R.
Soc. Lond. B 267, 1223 1227. (doi:10.1098/rspb.
2000.1131)
17. Price GR, Smith CAB. 1972 Fisher’s Malthusian
parameter and reproductive value. Ann. Hum.
Genet. 36, 17. (doi:10.1111/j.1469-1809.1972.
tb00577.x)
18. Queller DC. 1992 A general model for kin selection.
Evolution 46, 376 380. (doi:10.1111/j.1558-5646.
1992.tb02045.x)
Box 3. Fundamental theorem of multi-level selection.
Multi-level selection—In a group-structured population, the action of natural selection may alternatively be separated into its
between-group and within-group components:
D
NS
E
J
ðg
j
Þ¼cov
J
ðw
j
, g
j
ÞþE
J
ðcov
K
ðw
jk
, g
jk
ÞÞ, ðB3:1Þ
where I have assigned every group a unique index j [ J; and, within a given group, I have assigned every individual a
unique index k [ K. The first term on the r.h.s. defines between-group selection and the second term on the r.h.s. defines
within-group selection [11,23].
Fundamental theorem—If the character of interest is taken to be group fitness itself, then this may be decomposed into its gen-
etical and environmental components, w
j
¼ g
j
þ e
j
. It follows that
b
J
(w
j
, g
j
) ¼ 1, and hence cov
J
(w
j
, g
j
) ¼
b
J
(w
j
, g
j
)
var
J
(g
j
) ¼ var
J
(g
j
), and substituting this into equation (B 3.1) obtains
D
NS
E
J
ðg
j
Þ¼var
J
ðg
j
Þ iff E
J
ðcov
K
ðw
jk
, g
jk
ÞÞ ¼ 0: ðB3:2Þ
That is, the increase in average group fitness ascribed to natural selection is equal to the genetic variance in group fitness
if and only if within-group selection is absent [24].
rsfs.royalsocietypublishing.org Interface Focus 7: 20170005
6
Downloaded from https://royalsocietypublishing.org/ on 24 June 2022
19. Hamilton WD. 1964 The ge netical evolution
of social behaviour, I & II. J. T heo r. Biol.
7, 1 52. (do i:10. 1016/0 022-5193(6 4)
90038-4)
20. Bijma P. 2010 Fisher’s fundamental theorem of
inclusive fitness and the change in fitness due to
natural selection when conspecifics interact. J. Evol.
Biol. 23, 194 206. (doi:10.1111/j.1420-9101.2009.
01895.x)
21. Maynard Smith J, Szathma
´
ry E. 1995 The major
transitions in evolution. Oxford, UK: Oxford
University Press.
22. Bourke AFG. 2011 Principles of social evolution.
Oxford, UK: Oxford University Press.
23. Hamilton WD. 1975 Innate social aptitudes of man: an
approach from evolutionary genetics. In Biosocial
anthropology (ed. R Fox), pp 133155. New York, NY:
Wiley.
24. Gardner A. 2015 The genetical theory of multilevel
selection. J. Evol. Biol. 28, 305319. (doi:10.1111/
jeb.12566)
rsfs.royalsocietypublishing.org Interface Focus 7: 20170005
7
Downloaded from https://royalsocietypublishing.org/ on 24 June 2022