Integrative and Comparative Biology
Integrative and Comparative Biology, volume 57, number 2, pp. 407–422
doi:10.1093/icb/icx052
Society for Integrative and Comparative Biology
SYMPOSIUM
Complex Reproductive Traits and Whole-Organism Performance
T. J. Orr*,1 and Theodore Garland, Jr.†
*Department of Biology, University of Utah, Salt Lake City, UT 84112, USA; †Department of Biology, University of
California, Riverside, CA 92521, USA
1
E-mail:
[email protected]
Synopsis Arnold’s 1983 path-analytic paradigm, considering “morphology, performance, and fitness,” has been elaborated in several ways. For example, current versions recognize the level of “behavior” (including aspects of motivation) as
a filter between performance abilities (only measurable if motivation is maximal) and fitness components. Performance
abilities constrain behavior, but behavioral choices may shield performance from selection. Conceptual and empirical
issues remain, such as the extent to which individual variation in lower-level subordinate traits (e.g., circulating hormone
concentrations) might directly affect behavior, growth rates, sexual maturation, etc., rather than having effects only
through paths involving some aspect of performance. Moreover, empirical studies have yet to encompass more than a
few possible paths in a given system, in part because life-history researchers rarely communicate with those focused on
performance. Most life-history studies ponder trade-offs associated with reproductive effort, but studies of locomotor
performance (e.g., maximal sprint speed) have rarely considered trade-offs with reproduction. This lack of connection is
surprising because both life history (e.g., clutch size) and locomotor performance (e.g., locomotor stamina) traits require
allocation of energy and other resources, so trade-offs between these trait types may be expected. These perspectives and
cultures could be bridged by a focus on the ability of organisms to perform components of reproductive biology (e.g.,
lactation performance could be studied in animals maximally “motivated” by manipulation of litter size or endocrine
function). Alternatively, one could study impacts of reproduction on performance, as when bats and live-bearing fishes
lose maneuverability during gestation. We also consider sperm performance in the context of the paradigm and illustrate
that the paradigm can easily be utilized as a frame-work within which to consider key aspects of sperm biology.
Introduction
An emphasis on the importance of whole-organism
performance (e.g., Huey and Stevenson 1979;
Bennett 1980) and what has come to be known as
“the ecomorphological paradigm” (Arnold 1983;
Garland and Losos 1994; Lailvaux and Husak 2014)
has provided biologists a framework within which to
consider the integrated effects of multiple levels of
biological organization on how an animals interact
with their environment in various ways that influence Darwinian fitness. Taking the example presented in Arnold’s (1983) seminal paper, one might
study how individual variation in the sizes of snake
jaw bones affect maximal swallowing ability, which
could be measured through a series of trials in the
laboratory, and then quantified by path analysis. If
the individual snakes were then marked and released
in the field, then one could determine components
of fitness, such as survival and reproductive success,
and then further apply path analysis to achieve an
integrated picture of morphology, performance, and
fitness (Arnold 1983).
Over time, this framework has been refined, modified, and expanded. For example, Arnold’s (1983)
original model did not include behavior as an explicit or distinct level of organization, whereas one of
us has viewed behavior as a potentially crucial “filter” intervening between selection and performance
(Garland et al. 1990; Garland and Losos 1994;
Garland 1994a; 1994b; Garland and Carter 1994;
Garland and Kelly 2006). (Behavior can also be considered as a factor affecting performance via brain
Advance Access publication August 12, 2017
ß The Author 2017. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology.
All rights reserved. For permissions please email:
[email protected].
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
From the symposium “Integrative Life-History of Whole-Organism Performance (SICB wide)” presented at the annual
meeting of the Society for Integrative and Comparative Biology, January 4–8, 2017 at New Orleans, Louisiana.
408
T. J. Orr and T. Garland
motivation and reward pathways, but the paradigm
seems most applicable when one can presume that
animals are maximally motivated to perform, such
that motivation is a constant [100%] and hence falls
out of the path diagram.) Other important expansions have involved the addition of energetics
(Arnold 1983; Careau and Garland 2012), use of
the paradigm to elucidate trade-offs (e.g.,
Ghalambor et al. 2004; Oufiero and Garland 2007),
and the placement of life history traits, such as survivorship, age at first reproduction, and fecundity
(e.g., Oufiero and Garland 2007; Lailvaux and
Husak 2014). A recent and relatively complete version of the paradigm in shown in Fig. 1 (Storz et al.
2015), and we use this as our taking-off point for
what follows.
Despite the value of this paradigm demonstrated
by various conceptual (see previous paragraph) and
empirical (e.g., Garland and Losos 1994; Wainwright
1994; Aerts et al. 2000; Sinervo and Calsbeek 2003;
Irschick et al. 2005; Oufiero and Garland 2007;
Goodman 2007; Scales et al. 2009; Careau and
Garland 2012; Enriquez-Urzelai et al. 2015; Gomes
et al. 2016; Santana and Miller 2016) studies, and its
continued development, it has been rarely used to
evaluate reproductive traits, such as litter size, gestation length or lactation performance. Here, we discuss reproductive performance traits, with a focus on
how they could be measured as well as how they
might be placed into the context of current versions
of the ecomorphological paradigm. We highlight the
enormous value in measuring this modality (reproduction) of animal performance for evolutionary biologists. For example, sperm performance has
serious implications for male fitness and lactation
performance largely dictates offspring growth rates
during early ages in mammals. We also make strides
to include sexual selection into the paradigm.
As with other performance traits (e.g., see Bennett
and Huey 1990; Careau and Garland 2012), ensuring
that measurement achieves “maximal” performance
in fully “motivated” individuals are issues facing attempts to evaluate reproductive performance traits.
Nevertheless, some such traits are clearly tractable
but remain understudied in the context of the ecomorphological paradigm. Lactation performance is
one such case. Although this term has been used
in agriculture and is of enormous value for the dairy
industry (Bell et al. 2000; Kung et al. 2000; DeFrain
et al. 2004), it remains largely ignored in the world
of ecological and evolutionary physiology, except for
studies in mice by two research groups (e.g.,
Hammond and Diamond 1992; 1994; Hammond
et al. 1996; Hammond and Kristan 2000;
Speakman et al. 2001; Kr
ol and Speakman 2003;
Speakman and Kr
ol 2005).
For studies examining “classic” performance traits such as maximal sprint speed - reproduction is still
worth considering beyond being a “nuisance” variable. Specifically, although a gravid female will most
likely be slower in terms of maximal sprint speed
(barring changes in plastic traits that could compensate for the negative effects of pregnancy: cf. Oufiero
and Garland 2007), the details of how her performance changes across gestation is itself an interesting
and important (particularly in regards to natural selection) question (Garland 1985; Garland and Else
1987; Kuo C. Y. Kuo and D. J. Irschick, manuscript
in preparation). One might examine the impact of
reproduction itself on performance. For example,
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
Fig. 1 Path diagram modified (with permission) from Storz et al. (2015), illustrating proposed relationships across several levels of
biological organization and leading ultimately to Darwinian fitness. Here we have added several subcomponents of primary fitness
components (bulleted), which are primarily life history traits. Following the convention of path diagrams, arrows indicate relationships
as either: putatively causal (single-headed) or correlative (double-headed). See text for further explanation.
409
Complex reproductive traits and whole-organism performance
another sex. For example, females might experience
selection for greater endurance to escape predators
while pregnant, which could lead to the evolution of
such traits as oxygen binding affinity of hemoglobin
or lung capacity. Unless the loci that responded to
selection were on the sex chromosomes, both daughters and sons would inherit the “high-endurance”
genes, thus leading to the evolution of higher endurance capacity in both sexes. The potential nuances of
how sex-specific selection via natural or sexual selection (for example see Husak and Lailvaux 2014 for
an in-depth discussion of inter and intralocus conflict and compensation), interact to result in unique
solutions that may enable or limit performance remains an area of enormous theoretical and empirical
interest (e.g., see Garland et al. 2011).
Our goal here is to more fully integrate reproductive biology and sexual selection theory with the
ecomorphological paradigm. After reviewing the paradigm, we discuss how this integration of paradigm,
reproductive biology, and sexual selection might be
done, where reproductive traits fit into the paradigm, and how they can be treated as aspects of
performance. We also support the view that the field
of sexual selection might benefit from placing many
traits into the ecomophology paradigm (see; Lailvaux
and Irschick 2006; Oufiero and Garland 2007; Husak
and Fox 2008; Lailvaux et al. 2010; Lailvaux and
Husak 2014).
We review cases in which the ecomorphological
paradigm might intersect reproductive biology and
address three main questions:
(1) How might reproduction itself impact performance (dynamic and/or regulatory ecologically
relevant activities, such as maximal running
speed or thermoregulatory tolerances (see discussion below) and hence fit into the ecomorphological paradigm?
(2) What reproductive traits might be considered as
performance traits and what is the utility in doing so?
(3) What kinds of experiments might expand the
current ecomorphological paradigm by illuminating novel causal links among diverse traits
from the perspective of a broadened paradigm?
Review
What the paradigm is (at present)
Consistently updated subsequent to its initial presentation, the ecomorphological paradigm (Arnold
1983; Lailvaux and Husak 2014; Storz et al. 2015)
has proven extremely useful for the investigation of
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
gravid lizards run and jump poorly as compared
with non-gravid individuals, and female bats and
live-bearing fishes lose maneuverability during gestation (Table 1). We simply do not know how such
performance traits change across the course of gestation (but see; Scales and Butler 2007). Thus, despite being well-documented, changes in mass, gait,
endocrine function, and metabolism associated with
gestation remain poorly understood in the context of
their effects on whole-organism performance. Such
changes are sure to have important consequences for
Darwinian fitness (lifetime reproductive success),
and can be viewed in the general contexts of constraints and trade-offs and constraints (Garland
2014). However, trade-offs and selective pressures
may differ between the sexes. Including reproductive
traits in studies of performance may help efforts to
reveal some of the many potential sex-specific types
of selection on performance traits. Presuming that
traits in the two sexes positively genetically correlated, then sex-specific selection (including aspects
of sexual selection) may “pull” the phenotype of
the opposite sex along and as a result may limit
(or enhance) the capacity and thereby performance
of both sexes (see Husak and Lailvaux 2014;
Kaliontzopoulou et al. 2015). For example, if females
require greater endurance to compensate for the burdens of carrying eggs or developing embryos, then
selection may have shaped certain aspects of their
biology (for example, morphology or physiology)
to compensate (Veasey et al. 2001), either with respect to their baseline performance abilities or plastic
changes during pregnancy, including possible behavioral changes (e.g., Bauwens and Thoen 1981; Brodie
1989; Downes and Bauwens 2002). However, motivation and behavior may ameliorate performance
costs for example; female collared lizards do not
maximally perform when gravid in response to a
human predator but instead change their behavior
to compensate for reproduction (Husak 2006).
(Whether this observation would hold if the lizards
were observed when approached by natural predators
is unknown and an important area for future study).
Interestingly, female reproduction may improve performance (McCoy et al. 1994). Similarly, because
changes in body size are part of their usual biology,
females may also recover faster in response to mass
changes relative to males (e.g., via tail-loss), as seen
in skinks (Chapple and Swain 2002).
Males and females also share genes for many traits
although selection on traits may differ between the
sexes. Shared genes for some subordinate traits, including those that affect performance, may lead to
selection in one sex pulling along the performance of
Invertebrates
Fishes
410
Table 1 Studies that have been done to understand the impact of being gravid on whole-organism performance (citations in Appendix 1)
Organism
Traits impacted by gravidity/pregnancy
Notes
Reference
Funnel-web spiders
# speed in mated females
Cost due to sperm storage not pregnancy per say
Pruitt and Troupe 2010
Common striped scorpion
Behavior and performance both #
Shaffer and Formanowicz 1996.
Giant water-bugs
# speed (84%)
Refusal to run in 65% of females
# speed while carrying eggs (on back)
males
Kight et al. 1995
Guppies
# Fast-start swimming
Dwarf seahorses
" specific metabolic rate when
gravid (10-52%)
males
Masonjones 2001
Mosquitofish
# Ucrit (likely due to aerobic changes),
Escape speed is only impacted in older females not
younger females (Belk and Tuckfield 2010)
Plaut 2002; Belk and Tuckfield 2010
No differences in voluntary crawling between the
sexes, all females (gravid or not) had higher
oxygen consumption than males.
Finkler et al. 2003
No D in swimming kinematics,
Ghalambor et al. 2004
# escape speed
Amphibian
Spotted salamanders
# burst swimming speed
Squamates
Garden skinks
# speed
# speed is comparable to eating full meal.
Shine 2003
Northern red-throated skinks
# speed, 23-33%
Independent of relative clutch size.
Goodman 2006
Common/viviparous lizard
# sprint speed
Northern Death Adder
# speed, 30% slower
Skinks (various)
# speed
Shine 1980
Broadhead skink
Cooper et al. 1990
Flying lizards (Draco)
# speed, 25% slower
# endurance, 50% slower
UNK but compensatory sexual size dimorphism
Side-blotched lizards
# endurance
Green iguanas
Likely force-limited in direction of motion,
compensation noted (200% " in
vertical power)
Musculoskeletal changes noted in females may
lead to evolution of sexual size dimorphism.
Scales and Butler 2007
Western fence lizards
# sprint speed 20-45%
Population differences in performance #.
Sinervo et al. 1991
Garter snakes
# speed
# endurance
# swim speed,
#time swimming,
Webb 2004
Shine et al. 1998
Miles et al. 2000; Zani et al. 2008
Seigel et al. 1987
Decrease in swimming speed was associated with
litter mass.
Aubret et al. 2005
# related to reproductive investment in some habitats.
Winne and Hopkins 2006
No D in sprint swimming speed
Seim-aquatic snake
(Seminatrix pygaea)
# crawling speed,
# swimming speed
Water snakes
# growth, survival
Brown and Weatherhead 1997
T. J. Orr and T. Garland
Tiger water snakes
Van Damme et al. 1989
Independent of clutch size.
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
Penttinen and Erkkola 1997
Byrne et al. 2011
Exact “performance” unclear, highly trained athletes may not
extend to females in other conditions
Study done on obese women, may not extend to other
body conditions.
Humans
No D in metabolic cost of locomotion
(walking)
Noren et al. 2011
May not be maximally motivated. Swimming after a reward/toy.
Humans
Veasey et al. 2001
Independent of body mass.
# take off speed
# maximum swim speed,
62-44% decrease
" running “performance”
Zebra finches
Bottlenosed dolphins
Mammals
# speed, 20%
Kullberg et al. 2002
# speed and angle of ascent
Blue tits
Birds
411
traits in a framework that facilitates their consideration relative to other levels of biological organization (Fig. 1 reproduced from Storz et al. 2015). Most
versions of the paradigm start with “subordinate
traits” those traits on the left of Fig. 1 at lower levels
of biological organization, that act together with
other such traits to affect or determine characteristics
at higher levels of organization. For example, (Fig. 1)
the oxygen affinity of hemoglobin might interact
with maximal heart rate and various aspects of muscle function to dictate stamina.
The initial considerations of “performance,” in the
sense used here, emphasized traits at the wholeorganism level (Huey and Stevenson 1979; Bennett
1980). Subsequently, performance was defined as a
“score in some ecologically relevant activity” that
must be “phylogenetically interesting” (Arnold
1983). Performance is also “the ability of an individual to conduct a task when maximally motivated”
(Careau and Garland 2012). Furthermore, performance can be placed into one of two categories:
dynamic (movement of the whole body, e.g., sprint
speed, bite force) or regulatory (e.g., thermoregulary
tolerance, growth, gamete production) (Husak et al.
2009). However categorized, performance traits are
expected to be under relatively direct selection, as
compared with lower-level traits (e.g., limb length
or hormone levels) (Bennett and Huey 1990;
Lailvaux and Irschick 2006). Indeed, a good deal
has been written on what might be considered a
performance trait, and three key issues are prevalent
in the literature: measurement at the whole-organism
level, achieving maximal motivation during measurements, and ecological relevance (i.e., “ecological performance”: Irschick and Garland 2001; Irschick 2003).
Other important considerations are repeatability of
measurements (i.e., some consistency of individual
differences across time) and heritability (Bennett and
Huey 1990). We accept all of those elements as essential and do not attempt to re-define performance.
Rather, we suggest it may be valuable to consider
additional, currently neglected traits that might fit
with these pre-existing definitions.
Taken together, multiple performance traits (abilities) constrain behavior. In other words “performance abilities set an “envelope” (or “performance
space”; Bennett 1989) within which behavior is confined” (Careau and Garland 2012). Behavior can be
defined as “the. . . actions and mannerisms made by
individuals, organisms, systems, or artificial entities
in conjunction with themselves or their
environment. . .Conscious or subconscious, overt or
covert, and voluntary or involuntary.” (Wikipedia).
Simply put, behavior is anything an animal does (or
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
Starlings
Lee et al. 1996
Complex reproductive traits and whole-organism performance
412
Sexual selection theory
Since its inception by Darwin (1859; 1871), sexual
selection has focused on the role of diverse traits,
both physical and behavioral, for increasing mating
opportunities and thereby contributing to fitness.
Competition was a key factor Darwin considered
when formulating his ideas of sexual selection.
Darwin’s ideas regarding mating competition and
sexual selection are summarized well by Andersson
(1994). “Competition is here used in a similar sense
as in ecology: competition occurs whenever the use
of a resource (in this case, mates) by one individual
makes the resource harder to come by for others.
This is so whether or not the rivals meet in actual
contests; the only requirement is that a user makes
the resource less available to others. Mate choice by
one sex therefore usually implies (indirect) competition over mates in the other sex, even if rivals never
meet each other.” (Andersson 1994, p. 9).
Sexual selection is usually discussed in the context
of either (1) male-male competition (intra-sexual selection on combat traits, ritualized behaviors, and
weapons) and/or (2) through female choice (inter-sexual selection on showy traits of possible mates, such as
elaborate tails of some birds [note that males may also
choose mates by these same processes, although females are usually the “choosier” sex (sensu Fisher
1930)]. Both processes involve selection related to differences in number of mates, which typically results in
increased number of offspring (Darwin 1859, 1871;
Bateman 1948; Andersson 1994; Kvarnemo and
Simmons 2013) and impact primary fitness components such as fecundity that underlie Darwinian fitness
(Fig. 1). Sexual selection is known to shape both primary (sex-specific traits used for reproduction, such as
genitalia (Arnqvist 1998; Hosken and Stockley 2004)
and secondary (sex-specific traits not used for actual
reproduction, such as coloration) (Zuk et al. 1992;
Andersson 1994) sexual characteristics.
Some researchers have successfully examined secondary sexual characteristics within the ecomorphological paradigm to show the putative costs (or lack
thereof) of such sexual traits for performance
(Oufiero and Garland 2007; Husak and Swallow
2011; Mowles and Jepson 2015; Sewall 2015 and
others). Some such studies have found a negative
impact of sexually selected traits on performance
(ex. fiddler crabs; Allen and Levinton 2007; sideblotched lizards; Brandt 2003; and cockroaches;
Mowles and Jepson 2015). Others have not found
performance costs associated with such traits (e.g.,
Anolis lizards; Vanhooydnk et al. 2005 a,b). Despite
the growing number of studies of sex-specific traits
in the context of performance and the ecomorphological paradigm this remains an uncommon area of
study and, many additional aspects of sexual selection remain entirely unconsidered (Table 2) in the
ecomorphological paradigm (but see discussions in;
Irschick et al. 2007; Oufiero and Garland 2007).
Since the 1970s, sexual selection theory has grown
to encompass not just pre-copulatory mate choice
but also post-copulatory processes. Post-copulatory
sexual selection broadly includes the many processes
after mating that can result in differential fertilization success. As with pre-copulatory sexual selection,
post-copulatory sexual selection operates on both
sexes. The primary mode of male-centered postcopulatory sexual selection is “sperm competition”;
which occurs when females mate with multiple males
whose ejaculates and associated sperm aim to out
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
fails to do!). Behaviors occur during all daily activities (e.g., foraging) and allow an organism to respond immediately to its environment. Some
behaviors can lead directly to fitness, such as mating
or parental care or evasive strategies that allow escape from a predator (Fig. 1).
Primary Fitness Components are demographic parameters of Darwinian fitness. Such traits are what
most people measure as a surrogate for Darwinian
fitness, but unless all of them are measured fitness
cannot be accurately quantified. Moreover, additional
interesting reproductive traits can be measured as
components of the three primary fitness components,
such as number of offspring sired, survival of young to
weaning, and attractiveness of male offspring to females. We have added several such subcomponents
of primary fitness (Fig. 1). Thus, the paradigm ranges
from the level of the gene (not shown in Fig. 1) to the
cell (as part of the depicted Subordinate Traits) and
eventually to Darwinian fitness.
Unlike the enormous body of literature subsequent to Arnold’s (1983) paper that has found utility
in the ecomorphological paradigm, the field of sexual selection has functioned largely in isolation of
this paradigm (but see; Irschick and Garland 2001;
Lailvaux and Irschick 2006; Oufiero and Garland
2007; Husak and Fox 2008; Byers et al. 2010;
Lailvaux et al. 2010; Husak and Lailvaux 2014;
Lailvaux and Husak 2014), likely due to lack of research overlap. However, we argue that the ecomorphological paradigm may provide a beneficial framework for the field of sexual selection, and that several
traits currently the focus of sexual selection research
may be of interest to those in ecological and evolutionary physiology (Feder 1987, 2000; Bennett and
Huey 1990; Garland and Carter 1994).
T. J. Orr and T. Garland
413
Complex reproductive traits and whole-organism performance
Table 2 Suggested relationships between established parameters of the ecomorphological paradigm and areas of reproductive biology
and sexual selection that could be placed into the paradigm
Ecomorphology
paradigm Category
1’ sexually selected
characteristics
2’ sexually selected
characteristics
Other fundamental aspects
of reproduction
Subordinate traits
Physiology
Biochemical
Morphology
Behavior
Gamete “performance” including
sperm swimming, gamete
production (Fig. 4), percent
normal, ovum viability, selective
implantation,
Sperm capacitation production
(Fig. 4),
Egg production, ovulation
Mating
Sperm (Fig. 4) and egg “behaviors”
for example sperm “cooperation”
through formation of trains
(Immler et al. 2007)
Gamete osmoregulation
Pheromones
Other aspects of reproductive
endocrinology
Dimorphic feathers, fins, pigments,
structures for producing courtship
sounds
Uterus, placenta, mammary
glands (Fig. 3)
Sperm competition,
Cryptic female choice
Lactation (Fig. 3), implantation
or any other aspect
of pregnancy
Male-male competition
Courting and mate choice,
Obtaining copulations
Primary Fitness
Survivorship
Sperm storage
Fecundity
Sperm (Fig. 4) and egg interactions
number, out swim or in some other way “beat” each
other to fertilize an ovum (Parker 1970; 1979). Femalecentered post-copulatory sexual selection on the other
hand centers on processes under the broad term “cryptic female choice “that females use to control fertilization for example by selectively using sperm e.g., by
directing sperm from certain males to the ovum while
dumping sperm from other males (Thornhill 1983;
Eberhard 1996). Because conception involves traits of
both sexes, post-copulatory sexual selection often results
in co-evolution (antagonistic or otherwise) between
male traits like the piercing syringe-like gentialia of
male bed-bugs and female traits like the correspondingly thicker body tissues of female bed-bugs
(Andersson 1994; Arnqvist and Rowe 2013; Eberhard
1996; Siva-Jothy 2006; Husak and Lailvaux 2014).
Post-copulatory sexual selection in particular,
primary sexual traits (e.g., genitalia, gonads, gametes) remain characteristics that have not been
examined in the context of the paradigm (but
see Husak and Lailvaux 2014 for a discussion of
these traits in the context of sexual conflict and
compensation). Sexual selection can also lead to
Parental care including nursing
and other behaviors (Fig. 3)
different types of mating systems which in turn
impact allocation and life history strategy differences between the sexes (see below). Thus, the expansion of the paradigm to include life history
traits (Storz et al. 2015; Lailvaux and Husak
2014) presents an opportunity to place these traits
within the paradigm.
For example, sexual selection theory has also included attempts to understand which sex should invest in parental care and to what extent. In turn, it
has been shown that parental care can lead to diverse
mating systems and vice-versa (Orians 1969). Such
interactions between which sex is “tied” to a reproductive event (with gestation being a shackle between
a female and her current reproductive investment
that many male vertebrates entirely avoid) form the
basis of the theory of parental care. These same traits
lead to differential offspring survival (Fig. 1, “survivorship”) (paternal care, maternal care), and thus are
clearly important for Darwinian fitness. We now
consider how researchers might integrate the ecomorphological paradigm with reproductive biology
in general.
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
Performance
Endocrinology,
Spermatogensis,
Oogensis
Composition of the ejaculate
(proteins, pH),
Ovarian fluids (proteins, pH)
Spermatozoa,
Ova,
Genital morphology
414
T. J. Orr and T. Garland
How we might update the
ecomorphological paradigm and/or
reconsider what traits should be
emphasized
How might reproduction impact current models?
Although it is not common practice, reproductive
traits can be added to current versions of the ecomorphological paradigm. In many cases these reproductive traits would be depicted as arrows going
back from fecundity to performance (whereby such
traits are usually assumed to negatively impact performance) (Fig. 2). However, reproduction can also
result in increased performance such as in the case
of male Sceloporus that have greater endurance
while “reproductive” (seeking and courting mates,
defending territories) (John-Alder et al. 2009). This
increase in performance is underpinned by increased testosterone and corticosterone levels in
these same males during this time-frame (JohnAlder et al. 2009).
Performance changes associated with gestation are
caused by various aspects of a female’s physiology or
morphology (i.e., subordinate traits in Fig. 1) being
impacted by gestation. A few examples of these
changes include: an increase in body mass, greater
drag, altered posture, and decreases in available energy. The impacts of these changes have been documented by a series of studies in a variety of taxa
(Table 1). These studies demonstrate that gestation
commonly negatively impacts maximal sprint speed,
endurance, acceleration as well as a few other performance traits.
However, this non-exhaustive summary of studies
on the influence of gravidity on performance indicates a taxonomic bias, with a focus on squamates.
The paucity of data on mammals is especially noteworthy. From a theoretical stand-point, mammals
are particularly interesting in regards to reproduction
given the extensive time over which embryos are
maintained in-utero. Meanwhile, females continue
about (most of) their usual behaviors that require
various performances (e.g., running, jumping, biting). Table 1 indicates that in mammals and many
other taxa the nuances of how gestation impacts performance remains an understudied area of comparative, ecological, and evolutionary physiology.
Predictions: gestation and performance
A series of predictions can be made for the direction,
magnitude, and type of change in performance as a
result of gestation. First, we might predict to see
gradual and relatively linear changes. Such changes
may cause a decrease in performance, but this may
not always be the case and instead an increase in
performance might occur. For example, female
Finnish endurance runners had increased performance early in pregnancy, perhaps related to
hemodynamic changes (Penttinen and Erkkola
1997). In a group of German runners no change in
running performance was seen until after 36 weeks of
pregnancy (Bung et al. 1988). Energetic costs of locomotion of obese women across pregnancy, both
during resting and walking, did not change with
pregnancy (Byrne et al. 2011). Hormones secreted
by the placenta have profound direct and indirect
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
Fig. 2 Modified from Storz et al. 2015 (used with permission) to illustrate the impact of fecundity (in this case having developing
embryos inside the body or as in some males carrying developing embryos on the dorsum). Fecundity includes such subcomponents as
offspring size, litter size, and number of litters per year. The state of being gravid can affect physiology beyond the direct changes due
to mass loading. Gravidity is known to influence many aspects of physiology, for example through altering the hormonal milieu, which in
turn impacts behaviors and motivation for locomotor performance (see text). As in Fig. 1, arrows indicate relationships as either:
causal (single-headed) or correlative (double-headed).
415
Complex reproductive traits and whole-organism performance
effects on maternal physiology, including but not
limited to, increased blood pressure, insulin resistance and glucose intolerance (Petry et al. 2007).
Such hormones are notably serving a role of regulating reproduction and maintaining homeostasis of the
developing embryo (regulatory performance), but
may also impact the mother (dynamic performance)
(Husak et al. 2009). Second, the impact of reproduction on performance may not be linear but instead
step-wise as a pregnancy passes through key events,
such as implantation and various fetal developmental
milestones). Third, performance costs of gestation
may be more severe in taxa with particular types
of locomotion (flight vs. swimming, etc.). Fourth,
as with many other traits, we might expect to see
phylogenetic differences. For example, the
“matrotrophy index” (defined by Reznick as “the
ratio of the estimated dry mass of offspring at birth
divided by the estimated dry mass of eggs at fertilization” [Reznick et al. 2007]) varies among closely
related taxa but also at a clade-level (Reznick et al.
2002; Pires et al. 2011; Pollux et al. 2014). The
matrotrophy index may in turn correlate to degree
of performance loss due to gestation.
However, reproductive traits themselves can be
considered as performance traits. They are clearly
“phylogenetically interesting” (Arnold 1983) and
“ecologically relevant” (Irschick and Garland 2001;
Irschick 2003), and behaviors such as finding mates,
fighting with rivals or defending offspring from
predators may often involve maximal motivation
(Careau and Garland 2012). Finally, these traits are
likely to be direct targets of selection. Thus, we
might start to place these traits themselves into the
paradigm. Below we attempt this with two reproductive traits: lactation (Fig. 3) and sperm production
(Fig. 4).
What reproductive traits might be
considered performance traits?
Lactation performance
Lactation and milk composition are important aspects of mammalian life history through their relations with reproductive investment (Hinde et al.
2015; Millar 1975). They have been shown to vary
among species in relation to both phylogeny
(Hayssen 1993) and ecology (Boness and Bowen
1996) and are clearly targets of natural selection
(Oftedahl 1984; Skibiel et al. 2013). We argue that
lactation is also a performance trait that can be conceptualized in the context of the ecomorphological
paradigm (Fig. 3).
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
Fig. 3 A modified version of Storz et al. 2015 (used with permission), illustrating some of the known relationships between female
mammalian reproduction, in particular lactation performance and a variety of other traits. The goals here here are to illustrate how
lactation might be placed into the ecomorphological paradigm and to show a few known relationships across levels of organization. As
in both Figs. 1 and 2, arrows indicate relationships as either: causal (single-headed) or correlative (double-headed). We illustrate the
complex and dynamic causal relationship of subordinate traits (hormones such as prolactin and oxytocin) on behavior (Husak et al.
2009). Not illustrated are the effects of parity on future performance (ex. second time moms do not need the same hormonal priming
to initiate maternal behaviors associated with nursing (Pawluski et al. 2006)) and have larger mammary glands (Hassiotou and Geddes
2013). Also not depicted is the effect of corticosterone or leptin in milk that can change the development of offspring and their own
subsequent lactation performance (Hinde et al. 2015; Ilcol et al. 2006; Sullivan et al. 2011). Epigenetic relationships, including via DNA
methylation, are also known to influence the milk production of daughters (Blair et al. 2010; Singh et al. 2010; 2012).
416
T. J. Orr and T. Garland
We are not the first to suggest that lactation is a
performance trait. In the dairy sciences, lactation
performance is already a commonly discussed concept defined as “peak yield and persistence”
(Husvéth 2011). Furthermore, much is known about
the genetics and subordinate traits underlying lactation performance, including the influences of key
hormones such as oxytocin, cortisol and prolactin.
Hormones are well-studied aspects of reproduction
but the have largely been treated as a “black-box”
with complex causal relationships to performance
(Husak et al. 2009). By considering reproductive performance per se, some strides may be made towards
disentangling these relationships by asking if these
dynamic traits are linked and if there is antagonism
between different types of performance traits.
Lactation performance is demonstrably dependant
upon nutrition, hormones, and mammary gland
morphology (Fig. 3). All these traits interact with
such life history traits as parity, age, and even the
sex of current and previous offspring (Lucy et al.
1993; Hinde et al. 2009, 2015; Hayes et al. 2010).
To measure “maximal lactation performance,” as
for other aspects of whole-organism performance in
the ecomorphological paradigm, it would be necessary to maximally motivate females. In principle, this
could be done in several ways, including adding pups
(Hammond and Diamond 1992), changing the duration of lactation/weaning (Hammond and
Diamond 1994), and shaving lactating females to increase heat loss and hence avoid possible overheating
(Kr
ol et al. 2007). Furthermore, hormones associated
with lactation (e.g., oxytocin) provide an easy and
well-understood way to manipulate milk let down.
Another way forward in studies of lactation performance would be to utilize pre-existing “model” systems. For lactation, this would certainly include dairy
cattle, which have been selectively bred for lactation
performance for centuries (ex- 6000-5000 BC in Asia;
Evershed et al. 2008). Specifically, the Holstein breed
holds the current records for highest lactation performance (Hasheider 2011). Within this system, it has
been well-documented how subordinate traits determine lactation performance (Akers 2000). Indeed, despite being the product of human intervention, data
on dairy cattle provide an excellent illustration of the
ecomophological paradigm, even if the literature has
not been couched it in those terms.
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
Fig. 4 A modified version of Storz et al. 2015 Fig. 1 (used with permission), illustrating how sperm biology and associated male traits
can be conceptualized within the context of the ecomorphological paradigm. Epigenetic transmission has been noted for sperm in mice
(Puri et al. 2010), but is not depicted here. Sperm “behavior” here includes movement by spermatozoa (e.g., via microtubules or
pseudopod extension), remaining “still” while in storage (Orr and Brennan 2015), the formation of “sperm trains” where multiple
sperm interact to move within the female’s reproductive tract (Immler et al. 2007), and directed motion to certain areas through
chemotaxis. As in figures above, arrows indicate relationships as either causal (single-headed) or correlative (double-headed).
Complex reproductive traits and whole-organism performance
Gamete production and performance
Gametes can be viewed as haploid organisms
(Reinhardt 2015). Gametes much like viruses may
not meet the usual criteria of a “whole organism”
as commonly considered in the context of “whole
organism performance.” However, if one is to take
classic definitions of performance more broadly they
would be left with a demonstrably useful theoretical
framework within which to investigate an important
biological trait: gamete performance. Gametes are essential for sexual reproduction and thereby major
effectors of Darwinian fitness, but to our knowledge
they remain unconsidered in the context of the ecomorphological paradigm. We suggest that gamete
production is logically viewed as a whole-organism
performance trait influenced by subordinate traits.
Like lactation, it is also “ecologically relevant” and
“phylogenetically interesting” (Arnold 1983). Gamete
performance could be quantified as total number of
gametes over a distinct period of time (e.g., month,
season or life-span) as well as gamete quality. Sexual
selection theory provides a plethora of examples
where sperm performance is the target of selection
(Gage and Morrow 2003; Fitzpatrick and Lüpold
2014).
Sperm performance
We are not alone in questioning traditional consideration of gametes as “whole-organism” as evidenced
by the recent exciting paper that considers aspects of
“sperm ecology” (Reinhardt 2015). Specifically, by
considering sperm as whole-organisms the “environments” that sperm have evolved to inhabit, including
the epididymis and female reproductive tract, can be
considered
using
ecological
measurements.
Examination of gamete-specific metrics in this context would allow researchers to measure aspects of
these cells that may approximate quality. The ecomorphological paradigm can provide a theoretical
framework currently lacking in the field of sexual
selection that would allow for the consideration of
sperm traits across levels of organization and relative
to traits leading to Darwinan fitness (see; Fitzpatrick
and Lüpold 2014). Furthermore, when considered as
such (a performance trait) gamete performance is
easily conceptualized within the paradigm (Fig. 4).
What metrics are we talking about when we say
sperm or gamete performance? Many spermatozoa
and ejaculate traits have been quantified (especially
in the fields of reproductive medicine and animal
science) and found to be key for fertilization. Such
traits are sperm velocity, linearity of swimming path,
fertilization capability (often related to amount or
type of acrosomal enzymes), aging rate (e.g., longevity; Firman et al. 2015), as well as many other traits
(Fitzpatrick and Lüpold 2014). Variability of sperm
morphology and performance has been found to be
both heritable (Simmons and Kotiaho 2002;
Birkhead et al. 2005) and under selection (Morrow
and Gage 2001; Gage and Morrow 2003) in a variety
of taxa. Testis size (a subordinate trait) as well as
associated number of sperm produced (a performance trait as suggested above) is heritable in
Herford bulls (Neely et al. 1982).
Furthermore, trade-offs are known to occur between these sperm traits (which can also be placed
in the model) (see; Garland 2014 for discussions of
trade-offs; Lailvaux and Husak 2014 and other papers in this issue for further discussion of the placement of trade-offs in the paradigm). Returning to
sperm, one well-known trade-off occurs between
sperm speed and longevity (Fitzpatrick and Lüpold
2014), and this trade-off may have very important
implications for sperm competition, particularly in
the context of female sperm storage (Orr and
Brennan 2015). Finally, although we have focused
on spermatozoa in the context of the paradigm it
is evident that female gametes (eggs) could similarly
be considered in this frame-work. Regardless of what
type of gamete is investigated in future studies, it is
especially important to understand heritable variation that underpins performance of gametes.
Thereby, future work might investigate traits subject
to sexual conflict and compensation (see Husak and
Lailvaux 2014) using the framework of the ecomorphological paradigm as presented here (ex. Fig. 4) to
carefully conceptualize these functional traits.
What studies might follow the updated
model?
An interesting aspect of considering reproductive
performance traits within the context of the
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
The data-rich papers on dairy cattle reveal much
about the relationships between lactation performance
and other levels of the ecomorphological paradigm.
Lactation performance is predicted by parity, age,
temperature, diet, sex of offspring, and a mother’s
condition (health) (Lucy et al. 1993; Hinde et al.
2009, 2015; Hayes et al. 2010). Further relationships
that can be added to the paradigm include epigenetics
(e.g., DNA methylation that affects gene expression)
and complex clusters of functional genes associated
with metabolism (e.g., signal transduction, peroxisome proliferator-activated receptors, immune and inflammatory processes and cell death) (Loor 2010).
417
418
Concluding remarks
Most life-history studies focus on trade-offs associated with reproductive effort, but studies of locomotor performance (e.g., maximal sprint speed) have
rarely considered trade-offs with reproduction.
Here we have shown the value of integrating these
areas, in particular reproductive traits with the ecomorphological paradigm. Given limited space, we
have focused on just a few of the many possible areas
within which the paradigm might be applied to the
consideration of reproductive characteristics, as well
as to traits evolving via sexual selection. We have
provided two examples (Figs. 3 and 4) as to how
these other traits may integrate with the paradigm;
lactation performance and gamete (sperm) performance. In both cases, subordinate traits as well as
fitness components relating to reproductive performance (lactation performance or gamete performance) are evident from the path diagram outlined
by the ecomorphological paradigm. We hope future
work will consider new and previously neglected performance traits from the perspective of the ecomorphological paradigm.
Reproductive traits, such as gestation, can also
impact “classic” performance traits, such as sprint
speed (Table 1). The implications of this type of
effect are of substantial theoretical interest, as they
may present a playing field for male- versus femalefocused selection to operate and may set metabolic
ceilings. Thus, investigations into this nexus of performance and reproductive state can advance our
understanding of the physiological limits to performance. To this end, we have outlined one such study
that could be done to evaluate changes in
performance due to gestation (i.e., the effects of a
progressing pregnancy on maximal sprint speed). We
suggest that longitudinal studies are needed to tease
apart the “whole-organism” impact of pregnancy on
performance.
We believe the utility of the ecomorphological
paradigm far exceeds the traits it has been used to
consider thus far. In particular, the field of sexual
selection may benefit from the use of this trusted
and useful paradigm (Table 2), whereas those who
measure “classic” performance traits may gain much
by evaluating crucial additional aspects of biology,
namely reproduction.
Acknowledgments
We thank Simon Lailvaux and Jerry Husak for inspiration and organizing the symposium. We also
thank Jerry Husak and an anonymous reviewer for
insightful comments. Chi-Yun Kuo, Denise Dearing,
Tom Eiting, and Casey Gilman offered insightful
conversations.
Funding
The symposium was supported by both NSF [grant #
IOS-1637160] and Company of Biologists [grant
EA1233, to Simon Lailvaux and Jerry Husak], and
by SICB divisions DAB, DCB, DEC, DEDE, DEE,
DNB, and DVM.
Supplementary data
Supplementary data available at ICB online.
References
Aerts P, Van Damme R, Vanhooydonck B, Zaaf A, Herrel A.
2000. Lizard locomotion: how morphology meets ecology.
Netherlands J Zool 50:261–77.
Akers RM. 2000. Selection for milk production from a lactation biology viewpoint. J Dairy Sci 83:1151–8.
Allen BJ, Levinton JS. 2007. Costs of bearing a sexually selected ornamental weapon in a fiddler crab. Func Ecol
21:154–61.
Andersson MB. 1994. Sexual selection. Princeton (NJ):
Princeton University Press.
Arnold SJ. 1983. Morphology, performance and fitness. Am
Zool 23:347–61.
Arnqvist G. 1998. Comparative evidence for the evolution of
genitalia by sexual selection. Nature 393:784–6.
Arnqvist G, Rowe L. 2013. Sexual conflict. Princeton (NJ):
Princeton University Press.
Aubret F, Bonnet X, Maumelat S. 2005. Tail loss, body condition and swimming performances in tiger snakes,
Notechis ater occidentalis. J Exp Zool Part A: Ecol
Genetics Phys 303:894–903.
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
ecomorphological paradigm is that few studies on
classic performance traits have examined natural
changes in performance across time (as discussed
in the context of seasons by Irschick et al. 2006).
Ideally, future work would be expanded to observe
animals during real predation events, which is difficult to do but has been accomplished in some cases,
such as with cheetah (Wilson et al. 2013) and rattlesnakes (Higham et al. 2017). Whether in the lab or
wild, the nature of reproduction is highly transitive
in most organisms, and thus would require measuring seasonal variation and repeatability of performance. Although it is clear that gestation can
impact classic performance traits, disentangling the
specifics of exactly how this occurs would require
longitudinal data. This could be revealed by simultaneously documenting performance of females as
they gestate and those that are non-reproductive.
T. J. Orr and T. Garland
Complex reproductive traits and whole-organism performance
reproduction in an active forager. Behav Ecol Sociobiol
27:153–57.
Darwin C. 1859. On the origin of the species by natural selection. 3rd ed. London: W. Clowes and Sons.
Darwin C. 1871. The descent of man. New York: Appleton
and Company.
DeFrain JM, Hippen AR, Kalscheur KF, Jardon PW. 2004.
Feeding glycerol to transition dairy cows: effects on blood
metabolites and lactation performance. J Dairy Sci
87:4195–206.
Downes S, Bauwens D. 2002. Does reproductive state affect a
lizard’s behavior toward predator chemical cues? Behav
Ecol Sociobiol 52:444–50.
Eberhard WG. 1996. Female control: sexual selection by cryptic
female choice. Princeton (NJ): Princeton University Press.
Enriquez-Urzelai
U,
Montori
A,
Llorente
GA,
Kaliontzopoulou A. 2015. Locomotor mode and the evolution of the hindlimb in western Mediterranean anurans.
Evol Biol 42:199–209.
Evershed RP, Payne S, Sherratt AG, Copley MS, Coolidge J,
€
€
Urem-Kotsu D, Kotsakis K, Ozdo
gan M, Ozdo
gan AE,
Nieuwenhuyse O, et al. 2008. Earliest date for milk use
in the Near East and southeastern Europe linked to cattle
herding. Nature 455:528–31.
Feder ME. 1987. New directions in ecological physiology:
conclusion. In: Feder ME, Bennett AF, Burggren W,
Huey RB, editors. New directions in ecological physiology.
Cambridge, UK: Cambridge University Press. p. 347–51.
Feder ME, Bennett AF, Huey RB. 2000. Evolutionary physiology. Ann Rev Ecol Syst 31:315–41.
Finkler MS, Sugalski MT, Claussen DL. 2003. Sex-related differences in metabolic rate and locomotor performance in
breeding spotted salamanders (Ambystoma maculatum).
Copeia 2003: pp. 887–93.
Firman RC, Young FJ, Rowe DC, Duong HT, Gasparini C.
2015. Sexual rest and post-meiotic sperm ageing in house
mice. J Evol Biol 28:1373–82.
Fisher RA. 1930. The genetical theory of natural selection.
Oxford: Oxford University Press.
Fitzpatrick JL, Lüpold S. 2014. Sexual selection and the evolution of sperm quality. Mol Human Repro 20:1180–9.
Gage MJ, Morrow EH. 2003. Experimental evidence for the
evolution of numerous, tiny sperm via sperm competition.
Current Biol 13:754–7.
Garland T Jr. 1985. Ontogenetic and individual variation in
size, shape and speed in the Australian agamid lizard
Amphibolurus nuchalis. J Zool 207:425–39.
Garland T Jr. 2014. Trade-offs. Curr Biol 24:R60–1.
Garland T Jr, Else PL. 1987. Seasonal, sexual, and individual
variation in endurance and activity metabolism in lizards.
Am J Phys-Reg, Int Comp Phy 252:R439–49.
Garland T Jr, Losos JB. 1994. Ecological morphology of
locomotor performance in squamate reptiles. In:
Wainwright PC, Reilly SM, editors. Ecological morphology:
integrative organismal biology. Chicago: University of
Chicago Press. p. 240–302.
Garland T Jr, Bennett AF, Daniels CB. 1990. Heritability of
locomotor performance and its correlates in a natural population. Experientia 46:530–3.
Garland T Jr. 1994a. Quantitative genetics of locomotor
behavior and physiology in a garter snake. In: Boake
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
Bateman AJ. 1948. Intra-sexual selection in Drosophila.
Heredity 2:349–68.
Bauwens D, Thoen C. 1981. Escape tactics and vulnerability
to predation associated with reproduction in the lizard
Lacerta vivipara. J Anim Ecol 50:733–43.
Bell AW, Burhans WS, Overton TR. 2000. Protein nutrition
in late pregnancy, maternal protein reserves and lactation
performance in dairy cows. Proc Nutr Soc 59:119–26.
Belk MC, Tuckfield RC. 2010. Changing costs of reproduction: age-based differences in reproductive allocation and
escape performance in a livebearing fish. Oikos
119:163–69.
Bennett AF. 1980. The thermal dependence of lizard behaviour. Animal Behav 28:752–62.
Bennett AF. 1989. Integrated studies of locomotor performance. In: Wake DB, Roth G, editors. Complex organismal
functions: integration and evolution in vertebrates. New
York (NY): John Wiley & Sons, Ltd. p. 191–202.
Bennett AF, Huey RB. 1990. Studying the evolution of physiological performance. In: Futuyma DJ, Antonovics J, editors. Oxford surveys in evolutionary biology. Oxford:
Oxford University Press. p. 251–84.
Bennett AF, Huey RB. 1990. Studying the evolution of physiological performance. Oxford Surv Evol Biol 7:251–84.
Birkhead TR, Pellatt EJ, Brekke P, Yeates R, Castillo-Juarez H.
2005. Genetic effects on sperm design in the zebra finch.
Nature 434:383–7.
Blair HT, Jenkinson CMC, Peterson SW, Kenyon PR, Van der
Linden DS, Davenport LC, Mackenzie DDS, Morris ST, Firth
EC. 2010. Dam and granddam feeding during pregnancy in
sheep affects milk supply in offspring and reproductive performance in grand-offspring. J Anim Sci 88:E40–50.
Boness DJ, Bowen WD. 1996. The evolution of maternal care
in pinnipeds. Biosci 46:645–54.
Brandt Y. 2003. Lizard threat display handicaps endurance.
Proc R Soc Lond B Biol Sci 270:1061–8.
Brodie III ED. 1989. Behavioral modification as a means of
reducing the cost of reproduction. Am Nat 134:225–38.
Brown, G. P. and Weatherhead P. J. 1997. Effects of reproduction on survival and growth of female northern water
snakes, Nerodia sipedon. Can. J. Zool 75:424–32.
Bung P, Sp€atling L, Huch R, Huch A. 1988. Performance
training in pregnancy. Report of respiratory and cardiovascular physiologic changes in a pregnant high-performance
athlete in comparison with a sample of normal pregnant
patients. Geburtshilfe und Frauenheilkunde 48:500–11.
Byers JA, Hebets EA, Podos J. 2010. Female mate choice based
upon male motor performance. Animal Behav 79:771–8.
Byrne NM, Groves AM, McIntyre HD, Callaway LK.
BAMBINO group. 2011. Changes in resting and walking
energy expenditure and walking speed during pregnancy
in obese women. Am J Clinic Nutr 94:819–30.
Careau V, Garland T Jr. 2012. Performance, personality, and
energetics: correlation, causation, and mechanism. Phys
Bioch Zool 85:543–71.
Chapple DG, Swain R. 2002. Effect of caudal autotomy on
locomotor performance in a viviparous skink, Niveoscincus
metallicus. Func Ecol 16:817–25.
Cooper WE, Vitt LJ, Hedges R, Huey RB. 1990. Locomotor
impairment and defense in gravid lizards (Eumeces laticeps): behavioral shift in activity may offset costs of
419
420
Hinde K, Skibiel AL, Foster AB, Del Rosso L, Mendoza SP,
Capitanio JP. 2015. Cortisol in mother’s milk across lactation reflects maternal life history and predicts infant temperament. Behav Ecol 26:269–81.
Hosken DJ, Stockley P. 2004. Sexual selection and genital
evolution. Trends Ecol Evol 19:87–93.
Huey RB, Stevenson RD. 1979. Integrating thermal physiology and ecology of ectotherms: a discussion of approaches.
Am Zool 357–66.
Husak JF. 2006. Do female collared lizards change field use of
maximal sprint speed capacity when gravid? Oecologia
150:339–43.
Husak JF, Fox SF. 2008. Sexual selection on locomotor performance. Evol Ecol Res 10:213–28.
Husak JF, Lailvaux SP. 2014. An evolutionary perspective on
conflict and compensation in physiological and functional
traits. Curr Zool 60:755–67.
Husak JF, Swallow JG. 2011. Compensatory traits and the
evolution of male ornaments. Behaviour 148:1–29.
Husvéth F. 2011. Physiological and reproductional aspects of animal production. Veszprém, Hungary, Master’s Thesis: Debrecen
University, University of West Hungary, Pannon University.
Ilcol YO, Hizli ZB, Ozkan T. 2006. Leptin concentration in
breast milk and its relationship to duration of lactation and
hormonal status. Int Breastfeed J 1:21.
Immler S, Moore HD, Breed WG, Birkhead TR. 2007. By
hook or by crook? Morphometry, competition and cooperation in rodent sperm. PLoS One 2:e170.
Irschick DJ. 2003. Measuring performance in nature: implications for studies of fitness within populations. Integr
Comp Biol 43:396–407.
Irschick DJ, Garland T Jr. 2001. Integrating function and ecology in studies of adaptation: investigations of locomotor
capacity as a model system. Ann Rev Ecol Syst 32:367–96.
Irschick DJ, Herrel A, Vanhooydonck B, Damme RV. 2007. A
functional approach to sexual selection. Funct Ecol
21:621–6.
Irschick DJ, VanHooydonck B, Herrel A, Meyers JAY. 2005.
Intraspecific correlations among morphology, performance
and habitat use within a green anole lizard (Anolis carolinensis) population. Biol J Linn Soc 85:211–21.
Irschick DJ, Ramos M, Buckley C, Elstrott J, Carlisle E,
Lailvaux SP, Bloch N, Herrel A, Vanhooydonck B. 2006.
Are morphology–performance relationships invariant
across different seasons? A test with the green anole lizard
(Anolis carolinensis). Oikos 114:49–59.
John-Alder HB, Cox RM, Haenel GJ, Smith LC. 2009.
Hormones, performance and fitness: natural history and
endocrine experiments on a lizard (Sceloporus undulatus).
Integr Comp Biol 49:393–407.
Kaliontzopoulou A, Carretero MA, Adams DC. 2015.
Ecomorphological variation in male and female wall lizards
and the macroevolution of sexual dimorphism in relation
to habitat use. J Evol Biol 28:80–94.
Kight Sprague SL, Kruse J, Johnson KC, L. 1995. Are eggbearing male water bugs, Belostoma flumineum Say
(Hemiptera:
Belostomatidae),
impaired
swimmers?
J Kansas Entomol Soc: 68:468–70.
Kr
ol E, Murphy M, Speakman JR. 2007. Limits to sustained
energy intake. X. Effects of fur removal on reproductive
performance in laboratory mice. J Exp Biol 210:4233–43.
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
CRB, editor. Quantitative genetic studies of behavioral
evolution. Chicago (IL): University of Chicago Press.
p. 251–77.
Garland T Jr. 1994b. Phylogenetic analyses of lizard endurance capacity in relation to body size and body temperature. In: Vitt LJ, Pianka ER, editors. Lizard ecology:
historical and experimental perspectives. Princeton (NJ):
Princeton University Press. p. 237–59.
Garland T Jr, Carter PA. 1994. Evolutionary physiology. Ann
Rev Physiol 56:579–621.
Garland T Jr, Kelly SA. 2006. Phenotypic plasticity and experimental evolution. J Exp Biol 209:2344–61.
Garland T Jr, Kelly SA, Malisch JL, Kolb EM, Hannon RM,
Keeney BK, Van Cleave SL, Middleton KM. 2011. How to
run far: multiple solutions and sex-specific responses to
selective breeding for high voluntary activity levels. Proc
Royal Soc B Biol Sci 278:574–81.
Ghalambor CK, Reznick DN, Walker JA. 2004. Constraints on
adaptive evolution: the functional trade-off between reproduction and fast-start swimming performance in the
Trinidadian guppy (Poecilia reticulata). Am Nat 164:38–50.
Gomes V, Carretero MA, Kaliontzopoulou A. 2016. The relevance of morphology for habitat use and locomotion in
two species of wall lizards. Acta Oecologica 70:87–95.
Goodman BA. 2006. Costs of reproduction in a tropical
invariant-clutch producing lizard (Carlia rubrigularis).
J Zool 270:236–43.
Goodman BA. 2007. Divergent morphologies, performance,
and escape behaviour in two tropical rock-using lizards
(Reptilia: Scincidae). Biol J Linn Soc 91:85–98.
Hammond KA, Diamond J. 1992. An experimental test for a
ceiling on sustained metabolic rate in lactating mice.
Physiol Zool 65:952–77.
Hammond KA, Diamond J. 1994. Limits to dietary nutrient
intake and intestinal nutrient uptake in lactating mice.
Physiol Zool 67:282–303.
Hammond KA, Lloyd KC, Diamond J. 1996. Is mammary
output capacity limiting to lactational performance in
mice? J Exp Biol 199:337–49.
Hammond KA, Kristan DM. 2000. Responses to lactation and
cold exposure by deer mice (Peromyscus maniculatus).
Physiol Biochem Zool 73:547–56.
Hasheider P. 2011. The family cow handbook: a guide to keeping a milk cow. Minneapolis (MN): Voyageur Press Inc.
Hassiotou F, Geddes D. 2013. Anatomy of the human
mammary gland: current status of knowledge. Clin Anat
26:29–48.
Hayes BJ, Pryce J, Chamberlain AJ, Bowman PJ, Goddard
ME. 2010. Genetic architecture of complex traits and accuracy of genomic prediction: coat colour, milk-fat percentage, and type in Holstein cattle as contrasting model traits.
PLoS Genet 6:e1001139.
Hayssen V. 1993. Empirical and theoretical constraints on the
evolution of lactation. J Dairy Sci 76:3213–33.
Higham TE, Clark RW, Collins CE, Whitford MD, Freymiller
GA. 2017. Rattlesnakes are extremely fast and variable when
striking at kangaroo rats in nature: three-dimensional highspeed kinematics at night. Sci Reports 7:40412.
Hinde K, Power ML, Oftedal OT. 2009. Rhesus macaque
milk: magnitude, sources, and consequences of individual
variation over lactation. Am J Phys Anthro 138:148–57.
T. J. Orr and T. Garland
Complex reproductive traits and whole-organism performance
Orians GH. 1969. On the evolution of mating systems in
birds and mammals. Am Nat 103:589–603.
Orr TJ, Brennan PL. 2015. Sperm storage: distinguishing selective processes and evaluating criteria. Trends Ecol Evol
30:261–72.
Oufiero CE, Garland JT. 2007. Evaluating performance costs
of sexually selected traits. Funct Ecol 21:676–89.
Parker GA. 1970. Sperm competition and its evolutionary
consequences in the insects. Biol Rev 45:525–67.
Parker GA. 1979. Sexual selection and sexual conflict. In:
Blum MS, Blum NA, editors. Sexual selection and reproductive competition in insects. New York (NY): Academic
Press. p.123–66.
Pawluski JL, Walker SK, Galea LA. 2006. Reproductive
experience differentially affects spatial reference and working
memory performance in the mother. Horm Behav 49:143–9.
Penttinen J, Erkkola R. 1997. Pregnancy in endurance athletes. Scand J Med Sci Sports 7:226–8.
Petry CJ, Ong KK, Dunger DB. 2007. Does the fetal genotype
affect maternal physiology during pregnancy? Trends Mol
Med 13:414–21.
Pires MN, Bassar RD, McBride KE, Regus JU, Garland T Jr,
Reznick DN. 2011. Why do placentas evolve? An evaluation
of the life-history facilitation hypothesis in the fish genus
Poeciliopsis. Funct Ecol 25:757–68.
Plaut I. 2002. Does pregnancy affect swimming performance
of female Mosquitofish, Gambusia affinis? Func Ecol
16:290–295.
Pollux BJA, Meredith RW, Springer MS, Garland T Jr, Reznick
DN. 2014. The evolution of the placenta drives a shift in
sexual selection in livebearing fish. Nature 513:233–6.
Pruitt JN, Troupe JE. 2010. The effect of reproductive status
and situation on locomotor performance and anti-predator
strategies in a funnel-web spider. J Zool 281:39–45.
Puri D, Dhawan J, Mishra RK. 2010. The paternal hidden
agenda: epigenetic inheritance through sperm chromatin.
Epigenetics 5:386–91.
Reinhardt K, Dobler R, Abbott J. 2015. An ecology of sperm:
sperm diversification by natural selection. Ann Rev Ecol
Evol Syst 46:435–59.
Reznick DN, Mateos M, Springer MS. 2002. Independent origins and rapid evolution of the placenta in the fish genus
Poeciliopsis. Science 298:1018–20.
Reznick D, Meredith R, Collette BB. 2007. Independent evolution of complex life history adaptations in two families of
fishes, live-bearing halfbeaks (Zenarchopteridae, Beloniformes)
and Poeciliidae (Cyprinodontiformes). Evolution 61:2570–83.
Santana SE, Miller KE. 2016. Extreme postnatal scaling in bat
feeding performance: a view of ecomorphology from ontogenetic and macroevolutionary perspectives. Integr Comp
Biol 56:459–68.
Scales J, Butler M. 2007. Are powerful females powerful
enough? Acceleration in gravid green iguanas (Iguana
iguana). Integr Comp Biol 47:285–94.
Scales JA, King AA, Butler MA. 2009. Running for your
life or running for your dinner: what drives fiber-type
evolution in lizard locomotor muscles? Am Nat
173:543–53.
Seigel RA, Huggins MM, Ford NB. 1987. Reduction in locomotor ability as a cost of reproduction in gravid snakes.
Oecologia 73:481–85.
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
Kr
ol E, Speakman JR. 2003. Limits to sustained energy intake
VI. Energetics of lactation in laboratory mice at thermoneutrality. J Exp Biol 206:4255–66.
Kullberg C, Houston DC, Metcalfe NB. 2002. Impaired flight
ability—a cost of reproduction in female blue tits. Behav
Ecol 13:575–79.
Kung L, Treacher RJ, Nauman GA, Smagala AM, Endres KM,
Cohen MA. 2000. The effect of treating forages with fibrolytic enzymes on its nutritive value and lactation performance of dairy cows. J Dairy Sci 83:115–22.
Kvarnemo C, Simmons LW. 2013. Polyandry as a mediator of
sexual selection before and after mating. Philos Trans R
Soc B 368:p.20120042.
Lailvaux SP, Husak JF. 2014. The life history of wholeorganism performance. Q Rev Biol 89:285–318.
Lailvaux SP, Irschick DJ. 2006. A functional perspective on
sexual selection: insights and future prospects. Anim Behav
72:263–73.
Lailvaux SP, Hall MD, Brooks RC. 2010. Performance is no
proxy for genetic quality: trade-offs between locomotion,
attractiveness, and life history in crickets. Ecology 91:1530–7.
Lee SJ, Witter MS, Cuthill IC, Goldsmith AR. 1996.
Reduction in escape performance as a cost of reproduction
in gravid starlings, Sturnus vulgaris. Proc R Soc Lond B:
Biol Sci 263:619–623.
Loor JJ. 2010. Genomics of metabolic adaptations in the peripartal cow. Animal 4:1110–39.
Lucy MC, Hauser SD, Eppard PJ, Krivi GG, Clark JH,
Bauman D, Collier RJ. 1993. Variants of somatotropin in
cattle: gene frequencies in major dairy breeds and associated milk production. Dom Anim Endocrinol 10:325–33.
Masonjones HD. 2001. The effect of social context and reproductive status on the metabolic rates of dwarf seahorses
(Hippocampus zosterae). Comp Biochem Phys Part A:
Mol Int Phys 129:541–55.
McCoy JK, Fox SF, Baird TA. 1994. Geographic variation in
sexual dimorphism in the collared lizard, Crotaphytus collaris (Sauria: Crotaphytidae). Southwest Nat 39:328–35.
Millar JS. 1975. Tactics of energy partitioning in breeding
Peromyscus. Can J Zool 53:967–76.
Miles DB, Sinervo B, Frankino WA. 2000. Reproductive burden, locomotor performance, and the cost of reproduction
in free ranging lizards. Evolution 54:1386–95.
Morrow EH, Gage MJ. 2001. Artificial selection and heritability
of sperm length in Gryllus bimaculatus. Heredity 87:356–62.
Mowles SL, Jepson NM. 2015. Physiological costs of repetitive
courtship displays in cockroaches handicap locomotor performance. PLoS One 10:p.e0143664 published online (doi:
10.1371/journal.pone.0143664).
Neely JD, Johnson BH, Dillard EU, Robison OW. 1982.
Genetic parameters for testes size and sperm number in
Hereford bulls. J Anim Sci 55:1033–40.
Noren SR, Redfern JV, Edwards EF. 2011. Pregnancy is a
drag: hydrodynamics, kinematics and performance in preand post-parturition bottlenose dolphins (Tursiops truncatus). J Exp Biol 214:4151–59.
Oftedahl OT. 1984. Milk composition, milk yield and energy
output at peak lactation: a comparative review. In: Peaker
M, Vernon RG, Knight CH, editors. Physiological strategies
in lactation: the proceedings of a symposium held at the
Zoological Society of London. London: Academic Press.
421
422
Storz JF, Bridgham JT, Kelly SA, Garland T Jr. 2015. Genetic
approaches in comparative and evolutionary physiology.
Am J Physiol-Regul Integr Comp Physiol 309:R197–214.
Sullivan EC, Hinde K, Mendoza SP, Capitanio JP. 2011.
Cortisol concentrations in the milk of rhesus monkey
mothers are associated with confident temperament in
sons, but not daughters. Dev Psychobiol 53:96–104.
Thornhill R. 1983. Cryptic female choice and its implications in
the scorpionfly Harpobittacus nigriceps. Am Nat 122:765–88.
Van Damme R, Bauwens D, Verheyen RF. 1989. Effect of
relative clutch mass on sprint speed in the lizard Lacerta
vivipara. J Herpetol 23:459–61.
Vanhooydonck B, Herrel AY, Van Damme R, Irschick DJ.
2005a. Does dewlap size predict male bite performance in
Jamaican Anolis lizards? Funct Ecol 19:38–42.
Vanhooydonck B, Herrel AY, Van Damme R, Meyers JJ, Irschick
DJ. 2005b. The relationship between dewlap size and performance changes with age and sex in a green anole (Anolis
carolinensis) lizard population. Behav Ecol Sociobiol 59:157–65.
Veasey JS, Houston DC, Metcalfe NB. 2001. A hidden cost of
reproduction: the trade-off between clutch size and escape
take-off speed in female zebra finches. J Anim Ecol 70:20–4.
Wainwright PC. 1994. Functional morphology as a tool in
ecological research. In: Wainwright PC, Reilly SM, editors.
Ecological morphology: integrative organismal biology.
Chicago (IL): University of Chicago Press. p. 42–59.
Walker JA. 2007. A general model of functional constraints
on phenotypic evolution. Am Nat 170: 681–89.
Webb JK. 2004. Pregnancy decreases swimming performance
of female northern death adders (Acanthophis praelongus).
Copeia 2004:357–63.
Wilson AM, Lowe JC, Roskilly K, Hudson PE, Golabek KA,
McNutt JW. 2013. Locomotion dynamics of hunting in
wild cheetahs. Nature 498:185–9.
Winne CT, Hopkins WA. 2006. Influence of sex and reproductive condition on terrestrial and aquatic locomotor performance in the semi-aquatic snake Seminatrix pygaea.
Func Ecol 20:1054–61.
Zani PA, Neuhaus RA, Jones TD, Milgrom JE. 2008. Effects
of reproductive burden on endurance performance in sideblotched lizards (Uta stansburiana). J Herpetol 42:76–81.
Zuk M, Ligon JD, Thornhill R. 1992. Effects of experimental
manipulation of male secondary sex characters on female
mate preference in red jungle fowl. Anim Behav 44:999–1006.
Downloaded from https://academic.oup.com/icb/article/57/2/407/4082072 by guest on 08 April 2021
Sewall KB. 2015. Androgen receptor expression could contribute
to the honesty of a sexual signal and be the basis of species
differences in courtship displays. Func Ecol 29:1111–3.
Shaffer LR, Formanowicz DR Jr. 1996. A cost of viviparity
and parental care in scorpions: reduced sprint speed and
behavioural compensation. Anim Behav 51:1017–24.
Shine R. 1980. “Costs” of reproduction in reptiles. Oecologia
26:92–100.
Shine R, Keogh S, Doughty P, Giragossyan H. 1998. Costs of
reproduction and the evolution of sexual dimorphism in a
‘flying lizard’Draco melanopogon (Agamidae). J Zool
246:203–13.
Shine R. 2003. Effects of pregnancy on locomotor performance: an experimental study on lizards. Oecologia
136:450–56.
Simmons LW, Kotiaho JS. 2002. Evolution of ejaculates: patterns
of phenotypic and genotypic variation and condition
dependence in sperm competition traits. Evolution
56:1622–31.
Sinervo B, Hedges R, Adolph SC. 1991. Decreased sprint
speed as a cost of reproduction in the lizard Sceloporus
occidentalis: variation among populations. J Exp Biol
155:323–36.
Sinervo B, Calsbeek R. 2003. Physiological epistasis, ontogenetic conflict and natural selection on physiology and life
history. Integr Comp Biol 43:419–30.
Singh K, Erdman RA, Swanson KM, Molenaar AJ, Maqbool
NJ, Wheeler TT, Arias JA, Quinn-Walsh EC, Stelwagen K.
2010. Epigenetic regulation of milk production in dairy
cows. J Mamm Gland Biol Neoplas 15:101–12.
Singh K, Molenaar AJ, Swanson KM, Gudex B, Arias JA,
Erdman RA, Stelwagen K. 2012. Epigenetics: a possible
role in acute and transgenerational regulation of dairy
cow milk production. Animal: Int J Anim Biosci 6:375.
Siva-Jothy MT. 2006. Trauma, disease and collateral damage:
conflict in cimicids. Philos Trans R Soc Lond B Biol Sci
361:269–75.
Skibiel AL, Downing LM, Orr TJ, Hood WR. 2013. The evolution of the nutrient composition of mammalian milks. J
Anim Ecol 82:1254–64.
Speakman JR, Kr
ol E. 2005. Limits to sustained energy intake
IX: a review of hypotheses. J Comp Phys B 175:375–94.
Speakman JR, Gidney A, Bett J, Mitchell IP, Johnson MS. 2001.
Limits to sustained energy intake. J Exp Biol 204:1957–65.
T. J. Orr and T. Garland