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Keywords:

  • Maternal effects;
  • side-blotched lizards;
  • temperature preference;
  • thermo-regulation;
  • throat color polymorphism

Abstract

  1. Top of page
  2. Abstract
  3. Introduction
  4. Materials and Methods
  5. Data analyses
  6. Results
  7. Discussion
  8. Acknowledgements
  9. Data Archive Plan
  10. Conflict of Interest
  11. References

Natural populations respond to selection pressures like increasing local temperatures in many ways, including plasticity and adaptation. To predict the response of ectotherms like lizards to local temperature increase, it is essential to estimate phenotypic variation in and determine the heritability of temperature-related traits like average field body temperature (Tb) and preferred temperature (Tp). We measured Tp of Uta stansburiana in a laboratory thermal gradient and assessed the contribution of sex, reproductive status and throat color genotype to phenotypic variation in Tb of adult lizards. Females had higher Tp than males. However, they temporarily preferred lower temperature when gravid than when nongravid. Using a nested half-sib design for genetic crosses in the laboratory, we estimated relative contributions of additive genetic variation and maternal effects to Tp of hatchlings. Our results show that maternal effects, but not additive genetic variation, influence Tp of hatchlings in U. stansburiana. Maternal Tp and the presence or absence of blue throat color alleles significantly influenced Tp of hatchlings. We discuss ecological and evolutionary consequences of these maternal effects in the context of rapid climate change and natural selection that we measure on progeny survival to maturity as a function of maternal Tp.


Introduction

  1. Top of page
  2. Abstract
  3. Introduction
  4. Materials and Methods
  5. Data analyses
  6. Results
  7. Discussion
  8. Acknowledgements
  9. Data Archive Plan
  10. Conflict of Interest
  11. References

Natural populations experiencing a selection pressure such as increasing environmental temperatures can respond in one or more of the following ways – (i) by moving to more favorable habitats, thereby changing their geographical distribution (ii) by showing plastic responses to overcome the stressful conditions (iii) by undergoing evolutionary adaptation and (iv) going extinct. (Gienapp et al. 2008; Visser 2008). The response(s) of natural populations, although variable in space and time, may depend on factors such as the strength of selection pressure at local scale, the population's potential for phenotypic plasticity, and the evolutionary potential (available additive genetic variation) (Hoffmann and Sgro 2011). If local temperatures rise, any trait that is phenotypically plastic with respect to temperature will respond on a shorter time scale than that over which evolutionary adaptation usually occurs (Visser 2008). This can happen at the level of the individual within a year or across years, through learning, or via maternal or other epigenetic effects (across generations). On the other hand, genetic variation in traits related to physiological limits and phenological timing allows for local adaptation with respect to traits under selection in the long term (Linhart and Grant 1996). The responses to thermal heterogeneity thus occur on different time scales. Each organism's response to thermal heterogeneity depends on its size, mobility and life span. In an environment that is thermally heterogeneous, the short term consequences of thermal change will depend on the diversity of strategies that organisms can use to cope with the change (Angilletta et al. 2006), while the long term out comes will depend on the phenotypic variation available and the evolutionary potential (additive genetic variation) of the population with respect to thermal traits. The relative contributions of coping mechanisms such as phenotypic plasticity and genetic variation available within the population (evolutionary potential) can be estimated through breeding experiments in laboratory and field populations (Kingsolver et al. 2007; Visser 2008).

Ectotherms such as lizards are especially vulnerable to changes in environmental temperatures, such as local warming trends in recent years (Sinervo et al. 2010) because ambient temperatures directly influence their body temperature (Tb). Body temperature, in turn, influences various aspects of their physiology, behavior and fitness (Bennett 1980; Huey and Berrigan 2001; Martin and Huey 2008). Most lizards, therefore, regulate their Tb within a narrow range when they are active (Bowker 1984; Cossins and Bowler 1987). This temperature range is referred to as activity temperature range or normal activity range (Pough and Gans 1982). Whether an ectothermic animal like a lizard is able to maintain Tb within its activity temperature range, or how long it can maintain Tb within that range, can influence many aspects of the animal's life history. These aspects include, but are not limited to, growth rates (Sinervo and Adolph 1994; Autumn and DeNardo 1995; Sinervo and Dunlap 1995), physiological performance traits such as sprint speed and endurance (Angilletta et al. 2002), and reproductive patterns (Licht 1966, 1967a,b, 1973a,b).

In lizards, effective control of body temperature within the activity temperature range is achieved through a complex suite of mechanisms that range from modifying behavior and movements (behavioral thermoregulation) to color change (Gans and Pough 1982). Behavioral thermoregulation primarily involves selection of microhabitat, timing of activity, postural adjustments, huddling, and burrowing behaviors. However, studies of thermoregulatory behavior of lizards, in well-characterized thermal environments, have revealed that insufficiently heterogeneous thermal microhabitats often prevent animals from attaining their physiologically optimal Tb in nature (Grant and Dunham 1988; Gil et al. 1994). Other physical and biotic aspects of the environment, such as extreme temperatures and predation pressure, can also prevent lizards from maintaining their Tb within the activity temperature range for part of their activity cycle. Therefore, mean body temperature selected in a laboratory thermal gradient, that is, preferred or selected temperature (Tp), rather than Tb measured in field-active animals, is often used in ecological analyses (Huey and Slatkin 1976; Hutchison 1979).

Mean selected temperature (Tp) is traditionally measured using small thermocouples in laboratory thermal gradients (Licht 1966) where potentially confounding aspects of the physical and social environment may be standardized (Patterson and Davies 1978; Ibargüengoytía 2005). Preferred or selected temperature (Tp) has been measured as average of snapshots of body temperatures at regular intervals for some species, like nocturnal geckos (25–31°C for five different species, Angilletta et al. 1999), Anolis carolinensis (32°C, Licht 1966), and Uta stansburiana (36.5°C in field, Sartorius et al. 2002). A variety of internal and external factors can potentially influence thermoregulation, such as age (Angilletta et al. 1999), sex (Mayhew 1963; Hirth and King 1969; Licht 1973a,b; Werner and Whitaker 1978; Ibargüengoytía 2005; Huey and Pianka 2007; Lailvaux and Irschick 2007), time of day (Sinervo 1990; Refinetti and Susalka 1997; Firth and Belan 1998; Angilletta et al. 1999), and season of the year (Sievert and Hutchison 1989; Firth and Belan 1998; Ellis et al. 2008). The activity temperature range is thought to vary among species (Licht 1966). Body temperatures maintained during activity by congeneric species of lizards are quite similar even in widely different habitats, whereas less closely related species of lizards have very different Tb even when sympatric (Bogert 1949, 1981; Brattstrom 1965). Given that Tb during activity does not vary much in different habitats irrespective of the local temperatures, one would not expect much variation in the selected temperatures (Tp) within a population or species. However, estimates about phenotypic variation within a population or species with respect to Tp or Tb are rarely available. Also, very little is known about heritability or the physiological bases of temperature preference. In the context of current climate change (Kearney et al. 2009; Sinervo et al. 2010; Huey et al. 2012) such knowledge about presumed optimal temperature or Tp of a population is essential to determine whether rapid climate change is indeed putting selection pressure on the population in question. If climate change is acting as a selection pressure, evolving higher temperature preference (Tp) or higher activity temperature range could be one of the ways populations adapt to the higher temperatures. However, estimates of the phenotypic variation available in the population with respect to temperature related traits, as well as estimates of the heritability of the traits, are essential to predict how the population will respond to changing climate.

The side-blotched lizard U. stansburiana (Family Phrynosomatidae) is an annual species that exhibits orange, blue, and yellow alternative throat color morphs in both males and females (Sinervo and Zamudio 2001). Based on field pedigrees (Sinervo and Zamudio 2001), controlled laboratory crosses (Sinervo et al. 2001) and gene mapping studies (Sinervo et al. 2006), throat color and associated life strategies appear to be controlled by a single autosomal locus with three color alleles (o, b, y), hereafter, the “OBY” locus. These codominant alleles give rise to 6 genotypes (oo, bo, yo, bb, by, yy) in both male and female U. stansburiana (Sinervo et al. 2006). Previously, Sinervo et al. (2000a, 2001, 2006) have reported different reproductive strategies in Uta female throat color morphs. The blue and yellow female morphs (yy, by, bb) lay small clutches of large eggs while orange female morphs (oo, bo, yo) lay large clutches of smaller eggs. A suite of other traits such as phenotypic plasticity in reproduction (Comendant et al. 2003), immunocompetence (Svensson et al. 2001), and corticosterone response to the local social environment (Comendant et al. 2003) are correlated with throat color. This genetically based throat color polymorphism and its correlation with life history and behavioral traits makes this species a valuable system in which to study the effects of increasing local temperatures. The co-occurrence of multiple different trait-value combinations may increase the evolutionary potential of the population and the chances of persistence in the face of changing climatic conditions (Forsman et al. 2008). For instance, different throat color morphs may seek out microhabitats that differ in their thermal properties, be active at different time periods to maintain favorable body temperatures, or may respond differently to increasing temperature due to differences in Tp. Indeed, orange female morphs tend to aggregate where temperatures are consistently high and defend their rock areas more aggressively compared to yellow females (Comendant et al. 2003; Calsbeek and Sinervo 2007). Thermal quality of the females' habitat has significant effect on egg lay date, incubation time, and hatchling survival (Calsbeek and Sinervo 2007). We therefore hypothesize that the throat color alleles might have an indirect effect on thermo-regulatory behavior and/or selected body temperature in U. stansburiana.

In this study, we address the following questions using the side-blotched lizard (U.stansburiana) as a study system – (1) Does a gravid female lizard's body temperature influence hatchling survival? To answer this question, in 2007, we monitored the body temperatures of gravid females every day in the laboratory until they laid eggs and estimated the hatchling survival to the next breeding season under field conditions. (2) How much phenotypic variation exists in a U. stansburiana population with respect to Tp? In 2011, we measured body temperature of about 400 lizards from a single population in a laboratory thermal gradient to address this question. (3) To what extent do sex, reproductive status, and life history stage contribute to this phenotypic variation? (4) Do throat color alleles (OBY) influence thermoregulatory behavior or selected temperature (Tp)? The contributions of sex, reproductive status, and throat color genotypes to phenotypic variation in Tp were inferred from the 2011 dataset. (5) Is the phenotypic variation in Tp within a U. stansburiana population due to additive genetic variation and/or maternal effects? A laboratory breeding experiment complimented by Tp measurements of the dams, sires, and hatchlings allowed us to estimate relative contributions of additive genetic variation and/or maternal effects to phenotypic variation in Tp.

Materials and Methods

  1. Top of page
  2. Abstract
  3. Introduction
  4. Materials and Methods
  5. Data analyses
  6. Results
  7. Discussion
  8. Acknowledgements
  9. Data Archive Plan
  10. Conflict of Interest
  11. References

Field site and lizard capture

All protocols involving live animals were approved by the University of California, Santa Cruz Institutional Animal Care and Use Committee (IACUC, Office Code: Sineb1203). All lizards were caught by noosing from a long-term field study site at Los Baños Grandes, CA (37 03′ 29.98″ N, 120 50′ 56.00″ W, 35 m) during spring 2007 and 2011. The habitat mostly consists of sandstone rock outcrops and rock piles on grassy hillsides. Throat colors were scored immediately after capture, according to a protocol described earlier (Sinervo et al. 2001, 2006).

Does a gravid female lizard's body temperature influence hatchling survival?

In 2007, gravid females were caught by noosing from the field. They were then brought to the laboratory, weight and snout-vent length (SVL) were measured, and unique toe clips were given for individual identification. They were housed individually in terraria with a substrate of moist peat moss and sand, with a rock for basking. A heat lamp with a 40 W light bulb (one lamp for every four terraria) created thermal gradient of 18–37°C within each terrarium. Heat lamps were on from 0800 to 1900 h each day, and lizards were also exposed to the natural photoperiod through glass ceiling of the greenhouse where they were kept. Body temperature was measured for gravid females (n = 302) using a BAT-12 electronic thermometer (Physitemp Instruments, Clifton, NJ) with a T-type thermocouple flexible implantable probe (Harvard Apparatus, Holliston, MA) coated with petroleum jelly. The probe was inserted approximately 5 mm into the lizards' cloaca. The Tb measurements were taken throughout the day at various times (but not more than once a day for each individual). The eggs laid by the gravid females were incubated in individual egg cups at 28°C following a protocol described in Sinervo and Doughty (1996). The hatchlings born in lab were weighed, given unique toe clips for individual identification, and released within 4 days of hatching to the field exactly at the spot where their mother was captured. In spring 2008, the surviving hatchlings were recaptured to estimate the hatchling survival rate to maturity. Repeated visits and mark-recapture sampling of the sites in previsous years allowed 98% recovery of surviving hatchlings were (Sinervo et al. 2006).

How much phenotypic variation exists in the population with respect to selected temperature (Tp)?

Selected temperature (Tp) refers to the arithmetic average of body temperatures of animals in a laboratory thermal gradient or equivalent conditions that would permit an animal to extend its body temperature above and below the activity temperature range (Pough and Gans 1982; Table 1). In 2011, we measured Tp in a laboratory thermal gradient using a modification of the protocol described in Sartorius et al. (2002) (Paranjpe et al. 2012). The experimental set up consisted of 24 parallel tracks made out of smoothened particle boards. Each running track was 91.5 cm × 15 cm × 38 cm (length × width × height). A thermal gradient was created in each running track using a heating lamp (100 W full spectrum) at one end. Aluminum foil was used to cover the hot end of the track and around the heating lamp so as to concentrate the heat in the track and to minimize loss of heat to surroundings during the experiment. In this set up, we achieved a thermal gradient of 48–25°C in the running tracks. The temperature gradient in the tracks was continuously monitored during the experiment using small-digital thermometers. For measuring the body temperature of individual lizards we inserted an epoxy coated (1 mm diameter, final probe size) ultra-thin thermocouple probe (Omega T-type junction probes) into cloaca of the lizard and taped the probe around the tail to keep it in place. The other end of the probe was plugged into a data-logger (Eltek Squirrel 1035 series), which automatically records body temperature of 24 individuals simultaneously at 1 min intervals. The lizards attached with thermocouple probes were placed in the thermal gradient and allowed to acclimatize for 10–15 min after which their Tb was recorded continuously for 2 h. The body temperatures of 391 adults (303 females, 88 males) and 73 (33 females and 40 males) hatchlings were recorded in 2011 using this method. Tb of adults was measured in the thermal gradient within a week after their field capture.

Table 1. Frequently used terms related to thermoregulation and their definitions (adopted from Pough and Gans 1982)
Body temperature (Tb)It is used in general sense to indicate an approximate internal temperature. In most studies on ectotherm thermoregulation, Tb refers to the average field body temperature.
Selected (preferred) temperature (Tp)The arithmetic average of the body temperature measured from animals in a laboratory thermal gradient. This assumes a normal distribution of body temperatures in the population. If the distribution is not normal, other measures such as median can be used to calculate Tp of the population as well as individuals.
Selected temperature rangeThe range of body temperatures maintained by an ectotherm in a laboratory temperature gradient providing conditions that would permit an animal to extend its body temperature above and below the activity temperature range.

After recording body temperature in a thermal gradient gravid females were housed individually in small bins with moist substrate until they laid eggs. Tp of some of these females (n = 22) was recorded again in the thermal gradient as described earlier within a week after laying eggs. After recording the postlay Tp they were released to the exact spot in the field where they were captured. Eggs were incubated individually in vermiculite substrate at 28°C until hatching, according to a protocol described earlier (Sinervo and Doughty 1996). This temperature maximizes survival to maturity (Calsbeek and Sinervo 2007). The hatchlings were weighed and given unique toe clips for future identification. They were released back in the field within 4 days of hatching exactly at the spot where their mother was captured.

Is the phenotypic variation in Tp within a Uta stansburiana population due to additive genetic variation and/or maternal effects?

To estimate the contribution of additive genetic variation and/or maternal effects to phenotypic variation in Tp we set up a controlled laboratory breeding experiment in 2011. The protocol for the laboratory breeding experiment was similar to one described earlier (Sinervo et al. 2001; Lancaster et al. 2007). Briefly, we caught adults as soon as they came out of hibernation at Los Banos, CA during early spring of 2011 and used a nested half-sib design for the breeding experiment. Uta stansburiana is an annual species and most individuals at Los Banos field site do not survive beyond one breeding season. All females caught for the breeding experiment were born during early June through end of August of the previous year (i.e., 2010). Female follicular development was assessed by abdominal palpation after field capture (Sinervo and Doughty 1996), and only females in the early stages of follicular development (before they had become receptive to mating in that breeding season) were used in the breeding experiment. Previous mating studies have found that sperm is not stored across seasons (B. Sinervo, unpubl. data). Therefore, we can be reasonably sure that the females involved in breeding experiment were virgins and had not stored sperm from previous year. We first measured Tp of dams and sires before housing them together in the breeding bin. A total of 40 field caught males (sires) were each mated to 2–3 field caught females. Thus, breeding groups consisted of 2–3 females and a single male, all of known throat color genotypes, housed in bins (58.4 cm L × 41.2 cm W × 31.4 cm H) with sand substrate. The females housed in the breeding bins were size matched to minimize the potential effects of body size on female-female competition and male mate choice. Spot lights of 75 W were used to create a thermal gradient of 20–40°C in the breeding bins. The lizards were fed crickets ad libitum and had free access to rock piles which could be used as refuges. We set up crosses which represented combinations of all six throat color genotypes (oo, ob, yo, bb, by, yy). Every other day females were checked for follicular development by abdominal palpation. Once females became gravid, they were moved to smaller bins with moist substrate and housed individually until they laid eggs. Eggs were incubated individually in vermiculite substrate at 28°C until hatching according to a protocol described earlier (Sinervo and Doughty 1996). The hatchlings were weighed and given unique toe clips for future identification. They were housed individually in bins with soil and sand substrate under 40 W full spectrum spot lights as well as UVB tube lights (ZooMed Repti-Sun UVB 5.0). Twice a day, they were fed ad libitum pinhead crickets (Acheta domestica) dusted with calcium powder (without D3) and reptile vitamins (both from Zoo Med). Out of 175 hatchlings that were born from the breeding experiment, 76 survived to the age of 2 months (43% survival) when we could measure their Tp. Hatchling survival rate at the field site for this species ranges from 10% to 25% (B. Sinervo, unpubl. data). Therefore, it is reasonable to assume that we had hatchling survival rates better than field survival rates. The proportion of hatchlings surviving in the lab breeding experiment was not influenced by their mother's Tp and/or genotype.We measured Tp of these lab-bred hatchlings when they were about 2-months-old, using a protocol similar to that described above for adult lizards. Considering the very small size of hatchlings (0.6–2.0 g) at 2 months of age, body temperature of hatchlings was measured by attaching the ultra-thin thermocouple probe to each hatchling's belly using cyanoacrylic cement and a small patch of tape to insulate the probe, instead of the cloacal probe which would be too large for hatchlings. The Tb values measured using cloacal probe and belly probe might be different, hence we compared the measurements by using both methods on 24 adult lizards (12 males and 12 females). For the calibration of two methods the lizards were fitted with two probes simultaneously, one in the cloaca and another on the belly. Their Tb was, thus, monitored using both methods at the same time on same set of lizards. Measuring Tb for both parents and hatchlings at the age of 2 months enabled us to estimate the contributions of additive genetic variation and maternal effects to phenotypic variation in Tp.

Data analyses

  1. Top of page
  2. Abstract
  3. Introduction
  4. Materials and Methods
  5. Data analyses
  6. Results
  7. Discussion
  8. Acknowledgements
  9. Data Archive Plan
  10. Conflict of Interest
  11. References

All statistical analysis was done using JMP 9.0 (SAS Institute 2010), unless otherwise noted. For the 2007 data, we calculated average Tb for each individual gravid female based on multiple measurements taken at various time points during the day. This value for each female is referred to as selected temperature (Tp) henceforth. Effects of mother's Tp, mother's throat color genotype, hatchling sex, hatchling mass, and the interaction between mother's Tp × mother's throat color genotype on hatchling survival to next year were tested using nominal logistic regression, with surviving hatchlings given a score of 1 and dead hatchlings given a score of 0. Factors found to be not significant were eliminated in a step-wise procedure. The final model included mother's Tp, mother's throat color genotype, and the interaction of mother's Tp by mother's throat color genotype. For 2011 data, we calculated the average and median Tb values for individual adult lizards from the 2-h continuous body temperature recordings under the laboratory thermal gradient. We also calculated the variance of Tb values of individuals to estimate phenotypic variation (Vp) available in the breeding adults of the Los Banos population. The body temperature data were checked for normality of distribution using the Shapiro–Wilk W test. Selected or preferred temperature (Tp) was calculated as the median of individual body temperature values (obtained from recordings in laboratory thermal gradient), while interquartile range (IQR, 25–75% portion) of the distribution of individual Tb values represented the “selected temperature range” (Dewitt and Friedman 1979; Pough and Gans 1982; Christian and Weavers 1996).

We assigned throat color scores of 0, 1, or 2 for lizards on orange, blue, and yellow axes depending on the description of OBY genotype made at the time of field capture (Sinervo et al. 2001, 2006). For example, on the orange axis, lizards with no visible orange coloration (bb, by, yy genotypes) get a 0 score, individuals expressing orange and another color (bo, yo genotypes) get a score of 1, and individuals with pure orange throats (oo) get a score of 2. On the blue axis, absence of b allele (oo, oy, yy) get a 0 score, heterozygotes of b (by, bo) get score 1 while a blue homozygote (bb) gets score 2. Similarly, on y scale, absence of y allele (oo, bo, bb) get a 0 score, heterozygotes of y (yo, by) get score 1 while a yellow homozygote gets score 2.

Females were categorized into three groups depending on their reproductive status – (i) gravid females, (ii) those which had recently laid eggs (postlay females), and (iii) females of reproductive age that did not become gravid (nonbreeding females). There were no such categories for males.

The distribution of body temperature in the U. stansburiana population was not normal (Shapiro–Wilk W test, W = 0.96, < 0.001). We tried various analysis using both average and median values (calculated from body temperature records of each individual) and found that using either average or median Tb does not change the results qualitatively. Hence, we considered median Tb values of individual lizards for further analyses, unless otherwise mentioned. The residuals of the models used were normally distributed when we used median as our response variable (Shapiro–Wilk W test for goodness of fit, P = 0.2769). Very large sample size (n = 198) in this analysis allowed us to assume asymptotic normality. Henceforth, the selected temperature (Tp) will refer to median of individual body temperatures measured in laboratory thermal gradient. We analyzed whether starting time of the trial, sex, and throat color score had any influence on Tp values of individual lizards by fitting a generalized linear model. For this analysis, we considered only males and nongravid females (nonbreeding + postlay females). Further, data for females only was considered to test the effects of reproductive status, throat color score on Y axis (fixed factors), and starting time of trial on Tp using a generalized linear model. Similar analyses were done using O and B throat color scores. As the results did not change qualitatively, we have used throat color scores on Y axis in similar analyses, unless otherwise mentioned. We also checked whether maternal Tp had an effect on egg survival using linear regression.

Hatchling body temperature data were checked for normality of distribution (Shapiro–Wilk W test) as well as influence of starting time of trial and sex on Tp by fitting a linear model. Heritability of Tp was estimated by regressing hatchling Tp on dam and sire's Tp separately. For estimating heritability, we first pooled body temperature data from all hatchlings born to same mother and calculated average Tp of siblings, which gave us a more accurate estimate of heritability compared with taking Tp of each hatchling without considering sib-ships. We then estimated heritability of Tp by regressing average Tp values of sib-ships (n = 30) on the average Tp's of dam and sire separately. For the heritability analysis, we used dam's Tp when she was done laying eggs (postlay Tp), thus avoiding the effect of the temporary change in Tp during gravid condition which may lead to an erroneous heritability estimate. Even though we had 40 sires and more than 120 dams at the beginning of the breeding experiment, Tp data for only those sires and dams that had hatchlings surviving up to the age of 2 months could be considered for heritability analysis.

To estimate the extent of maternal effects on Tp of hatchlings, we used statistical methods suggested by Fry (2004). For this analysis, a traditional variance component model (Sokal and Rohlf 1981) can be applied to body temperature data:

  • display math

Here, Yijk is an observation, μ is the population mean, Si is the random effect of the ith sire, Dj(i) is the random effect of jth dam within the ith sire group (because it is a nested half-sib design), and Wk(ij) is the random effect of the kth hatchling within the ijth family. The three random effects are assumed to be independent and normally distributed with means zero and variances inline image, respectively. (Note that “D” here stands for dam, not dominance.) These are “observational components” of variance because they can be calculated from observed data. To estimate the additive genetic variance (VA), the common environment or maternal-effect variance (VM), and the within family environmental variance (VE), the following equations can be used (Falconer and Mackay 1996):

  • display math
  • display math
  • display math

Assuming dominance variance, VD, equals zero, we can solve for the causal components:

  • display math
  • display math
  • display math

PROC MIXED program in SAS (Fry 2004) was used to provide Restricted Maximum likelihood (REML) estimates of the observational components of variance (inline image). These estimates were used to estimate the causal components (VA, VM, and VE) using the equations above.

Results

  1. Top of page
  2. Abstract
  3. Introduction
  4. Materials and Methods
  5. Data analyses
  6. Results
  7. Discussion
  8. Acknowledgements
  9. Data Archive Plan
  10. Conflict of Interest
  11. References

Mother's Tp influences hatchling survival in the field

In 2007, mother's Tp (obtained from measurements in terraria), mother's throat color genotype, and the interaction between mother's Tp by mother's throat color genotype had significant effects on field hatchling survival to the next year (Table 2). Hatchling survival was not affected by weight at birth (Table 2).

Table 2. Nominal logistic regression for factors influencing hatchling survival to next breeding season in U. stansburiana population
SourcedfL-R Chi squareP>Chi square
  1. *P < 0.05.

Dam Tb15.203750.0225*
Dam genotype512.110310.0333*
Dam Tb × Dam genotype111.80070.0376*
Hatchling mass11.485370.2229
DamID (HatchID)10.0284420.8661

Phenotypic variation in Tp and factors contributing to the variation

In 2011, body temperature of 303 females and 88 males was recorded in a laboratory thermal gradient. For all further calculations and analyses mentioned in the text, we used data collected only in 2011 using the laboratory thermal gradient and the breeding experiment. Therefore, all Tp values mentioned henceforth are those calculated using 2011 data. Average Tb of the U. stansburiana population was 37.36 ± 0.086°C (mean ± SE), while median Tb was 37.81°C. The estimate of phenotypic variance (Vp) of the population with respect to Tb was 2.92. Selected or preferred temperature (Tp) range for the population, calculated as interquartile range of the average Tb distribution was 36.49–38.56°C.

Significance of factors contributing to the phenotypic variation in Tp values was tested using generalized linear models. Color score on Y scale and starting time of the trial did not have a significant effect on Tp of males and nonbreeding females (n = 196, Table 3). Analyses using the O and B scales gave similar results. Sex significantly influenced Tp (Table 3). Post hoc comparisons using Student's t-test revealed that Tp for nonbreeding females (n = 109) was significantly greater than Tp of males (t ratio = −5.75204, < 0.0001) (n = 87, Fig. 1).

Table 3. Generalized linear model for factors influencing Tp of adults (males and females) from U. stansburiana population
SourcedfF ratioP>F
  1. *P < 0.05.

Sex133.0859<0.001*
Color score (Y scale)40.33850.8518
Starting time of trial11.75210.1872
image

Figure 1. Tp for nonbreeding females (n = 111) was significantly greater than Tp of males (n = 87). Error bars indicate mean ± SE.

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Starting time of trial and throat color score on Y scale had no significant effect on the Tp of females (n = 259) when considered separately from males, while reproductive status had a significant effect on Tp of females (Table 4). Post hoc comparisons using student's t-test revealed that gravid females had about 1.0°C lower Tp compared with postlay and nonbreeding females (t ratio = 3.20591, = 0.0015; Fig. 2). Therefore, we measured body temperature for a set of 22 females when they were gravid and within a week after they laid eggs. Paired comparisons of Tp values before and after laying eggs using t test showed that Tp was higher after laying eggs than before by 2.92 ± 0.55°C (mean ± SE) (paired t-test, < 0.001). However, there was no significant correlation between Tp of females when they were gravid and the postlay Tp (Ranked correlation, R2 = 0.0085, = 0.6828). Tp of gravid females did not influence the proportion of eggs surviving to become hatchlings (F ratio = 0.0926, = 0.7629). We measured hatchling survival (born in 2011) to next breeding season (2012) and found that there was very low hatchling survival in 2012 (8 out of 200 hatchlings released in 2011 survived to 2012, compared to 50 out of 484 in 2007–2008). Therefore, we did not have enough power to detect the effect of mother's Tp on hatchling survival for the 2011–2012 data and could not compare it to 2007–2008 results.

Table 4. Generalized linear model for factors influencing Tp of adult females
SourcedfF ratioP>F
  1. a

    Females were considered in three categories: gravid, postlay, and nonbreeding females. For detailed description of categories please refer to the text. *P < 0.05.

Reproductive statusa25.22950.006*
Color score Y scale42.01510.093
Start time of trial10.7040.791
image

Figure 2. Gravid females had significantly low (about 1.0°C lower) Tp compared to postlay and nonbreeding females. Error bars indicate mean ± SE.

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As postlay and nonbreeding females have similar Tp (Fig. 2), we pooled them in one category called nongravid females. We then compared the Tp of females including a factor for gravid versus nongravid females, covariates for Y scale and O scale, and interaction terms for gravid versus nongravid by Y scale and gravid versus nongravid by O scale. The gravid versus nongravid condition of females, their Y color score and the interaction between gravid versus nongravid condition × O scale had significant effect on median Tb (Table 5). The interaction between gravid versus nongravid condition and Y scale was not significant (Table 5). Thus, females with O alleles (oo, yo genotypes) had higher Tp when gravid, compared to the females with B alleles in general (bb, by, bo genotypes). Furthermore, females with two Y alleles had higher Tp compared to females with 0 or 1 Y allele (Fig. 3).

Table 5. Effects of reproductive status and throat color genotype on Tp of females
SourcedfF ratioP>F
  1. *P < 0.05.

Gravid vs. Nongravid125.0802<0.0001*
Color score (Y scale)18.11280.0047*
Color score (O scale)12.02560.1558
Y scale × Gravid vs. Nongravid13.20020.0747
O scale × Gravid vs. Nongravid14.80780.0292*
image

Figure 3. Effect of throat color genotype × reproductive status interaction on Tp of females. Error bars indicate mean ± SE. For this analysis, females were grouped into gravid and nongravid categories (by pooling postlay and nonbreeding females into nongravid category). YY females, overall, have higher Tp compared with other genotypes. Y and O females tend to prefer higher temperatures when gravid compared with BB females. The letters A, B, C indicate genotypes that were significantly different from other genotypes.

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Temperature preference in hatchlings and the heritability of Tp

Comparison of Tb measured using cloacal probes and belly probes showed that there was a significant correlation between the two readings (R2 = 0.69, < 0.0001) and body temperature recorded using belly probe was on an average 0.55°C higher compared that recorded using cloacal probe (Wilcoxon signed rank test, = 0.0191). This value was used to calibrate the adult Tb to hatchling Tb values before further analysis. Average Tb value of hatchlings (n = 73) was 36.70 ± 0.19°C (mean ± SE). Selected temperature range of hatchlings, calculated using interquartile range, was 35.72–37.86. The Tp values of hatchlings were not influenced by their sex or their sire's OBY genotype, so we excluded these two factors from further analyses. However, dam's Tp and OBY genotype (B scale) both had significant effects on sib-average Tp (Table 6, Fig. 4). Dams with higher color score on B scale produced hatchlings with higher Tp (Fig. 4, left panel), while dam's Tp had positive influence on hatchling Tp (Fig. 4, right panel). Heritability through the sire was not significant (h2 = 0.08, = 0.7343), however, the slope of the regression line on dam's Tp was 0.64, which yielded a heritability estimate of h2 = 1.28 ± 0.93 (Fig. 5). The analyses using SAS gave us estimates of additive genetic variance through the sire (VA = 0), variance due to maternal effects (VM = 0.62 ± 0.29) and within-family variance (VE = 0.5 ± 0.7).

Table 6. Linear model for factors influencing calibrated sib-average Tp of hatchlings
SourcedfF ratioP>F
  1. *P < 0.05.

Dam average Tb18.93640.0062*
Sire average Tb10.04760.8291
Dam B score14.25180.0497*
image

Figure 4. Dam's Tp and throat color score on B axis had significant influence on hatchlings' Tp.

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image

Figure 5. Regression of sib-average Tp (n = 30 sibships) on dam's Tp (left panel) and on sire's Tp (right panel). Tp of dam, but not sire's Tp, had significant influence on Tp of hatchlings.

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Discussion

  1. Top of page
  2. Abstract
  3. Introduction
  4. Materials and Methods
  5. Data analyses
  6. Results
  7. Discussion
  8. Acknowledgements
  9. Data Archive Plan
  10. Conflict of Interest
  11. References

We estimated the phenotypic variation present in one population of U. stansburiana with respect to Tb using a large sample size (n = 391, i.e., 303 females and 88 males) as well as the selected temperature range of the population (36.49–38.56°C). These estimates are essential to predict the evolutionary response of the population to local warming trends. Such estimates are not available for other populations of U. stansburiana for comparison as most previous studies have used small sample sizes to estimate average population Tb and Tp range (Parker and Pianka 1975; Waldschmidt and Tracy 1983) and/or have not reported variance. Average and median Tb values as well as Tp range reported here (37.36 ± 0.086°C, 37.81°C, and 36.49–38.56°C, respectively) are higher than previously reported Tb and Tp values for the species using similar methods (average = 35.5°C, median = 36.2°C, Tp range = 32.9–38.3°C by Sartorius et al. 2002). Tp range for U. stansburiana population in our study seems to be narrower and slightly higher compared to the New-Mexico population in the earlier study. The New Mexico (NM) study site mentioned in Sartorius et al. is a xeric shrubland with sandy dunes. Our study site is a cattle ranch with grassy slopes and rock outcrops. NM site probably has greater variation in daily temperature due to inland drier habitat compared to CA study site that might explain the broader selected temperature range in the NM population. However, higher average and median Tb values in our study population compared to NM population are unexpected and could reflect population level differences that are not dependent on habitat type.

Various factors can contribute to variation in body temperature, and we investigated effects of time of day (starting time of trial), sex, reproductive status, and throat color genotype of the individual. Analysis of our data revealed significant effects of sex and reproductive status on Tp. Female lizards in our study had about 1° higher Tp than males as measured in laboratory thermal gradient. Earlier studies on lizards have reported that males may select similar (Lailvaux et al. 2003; Ibargüengoytía 2005), higher (Pentecost 1974) or lower Tb compared to females (Sievert and Hutchison 1989). In our field observations, we notice that males become active and start basking slightly earlier during the day compared to females (B. Sinervo, pers. obs.). Also, overall, U. stansburiana males come out of winter hibernation before females (B. Sinervo, unpubl. data). Lower Tp of males might explain why they become active earlier during the breeding season as well as during the day when the air temperatures are lower. Similar sex differences in thermal sensitivity were reported in A. carolinensis (Licht 1973a). Such differences might ensure that males are sexually competent and active before females start investing resources in ovarian and egg development (Licht 1973a). However, gender differences in body temperature such as those observed in our study are the exception, not the rule, especially in case of desert lizards (Huey and Pianka 2007). A review of previous reports indicates that mean body temperatures of males and females differ by less than 1°C in 80.4% of lizard species (Huey and Pianka 2007), thus, the gender differences observed here may be biologically interesting.

Interestingly, reproductive status also changed Tp of females such that the gravid females had about 1.5°C lower Tp compared to postlay and nonbreeding females. To confirm whether reproductive status really changes Tp of females, we monitored the body temperature of a set of 25 females when they were ready to lay eggs and within 7–10 days after they laid eggs (postlay). After laying eggs, the females' Tp increased by 2.92°C on average compared to when they were gravid. Therefore, lower Tp in gravid females seems to be a temporary state. The difference is probably not due to relative inactivity of gravid females, as the females were moving between warmer and colder spots in the thermal gradient (D. Paranjpe, pers. obs.). One possible reason for the lower Tp of gravid females could be that temperatures higher than a certain threshold may harm developing embryos (Beuchat 1988). Neither average nor median Tb of gravid females influenced egg-to-hatchling survival in our population. However, in our experimental protocol as well as under field conditions, the egg-to-hatchling survival is measured after the eggs have been laid, that is, when the egg temperature is no longer dependent on mother's body temperature. Therefore, it is possible that higher temperatures, if experienced by gravid females, may be harmful for the developing eggs and are avoided by gravid females when they can choose appropriate temperature for activity. Alternatively, the deleterious effects of higher temperatures might manifest themselves in hatchling survival to adulthood. Indeed, analysis of 2007 data revealed that body temperature of gravid females did influence hatchling survival to the next year in the Los Banos population (Table 2). Females with genotype “by” had lowest Tb when gravid (Fig. 4) and had the highest number of surviving hatchlings the next year. Therefore, mother's Tp, when gravid, seems to be important for survival of the hatchlings. Similar to our results, pregnant females of the viviparous lizard Sceloporus jarrovi gave birth to significantly more abnormal or dead offspring when maintained at constant high temperatures (Beuchat 1988). However, field body temperatures of gravid females of oviparous gekkonid lizards were higher than those of nonreproductive individuals (Werner 1990). Reproductive status can change Tb in snakes (Peterson et al. 1993) and viviparous squamates (Shine 1980). Thus, from various studies it appears that reproductive status can change temperature preference in either direction. The fitness consequences of the temperature change may need further investigation in those cases.

O female genotypes (oo, yo), in general, had higher Tp when gravid, relative to B female genotypes (bb, by, bo) (Fig. 3). Previously, Sinervo et al. (2000a) have reported different reproductive strategies in U. stansburiana female throat color morphs and other correlated traits such as phenotypic plasticity in reproduction (Comendant et al. 2003), immuno-competence (Svensson et al. 2001), and corticosterone response to the local social environment (Comendant et al. 2003). Likewise, the elevated Tp of orange females when gravid compared to blue females (Fig. 3) indicates yet another component of body temperature plasticity important for reproductive strategies of females. Our results raise an interesting possibility that different genotypes may choose egg-laying sites that differ in their thermal properties and thereby influence the rate of embryo development and/or hatchling thermal preference through developmental acclimation (Angilletta et al. 2006). However, this possibility remains to be tested.

Hatchlings born from the laboratory breeding experiment had a normal distribution of body temperature values, unlike adult lizards. Hatchlings had similar Tp irrespective of their sex. It is notable that the temperature preferences of male and female hatchlings are not significantly different, while adult females (nonbreeding and postlay) have higher Tp compared to males. It, therefore, appears that female (or male) Tp might change during the transition from hatchling to adult stage.

In our laboratory experiment, dam's throat color genotype, but not sire's genotype, influenced hatchling's Tp. Furthermore, regression analysis showed that Tp is heritable through the mother and not through the sire. Traits such as throat color (Sinervo and Lively 1996; Zamudio and Sinervo 2000), body size (Calsbeek and Sinervo 2004), and immune response (Svensson et al. 2001) are known to be heritable through both males and females in U. stansburiana, while egg lay date, egg size (Sinervo and Doughty 1996), and clutch size (Sinervo and McAdam 2008) are heritable through females. Dorsal patterns in U. stansburiana are heritable but also modulated by inducible maternal effects (yolk steroid hormones, Lancaster et al. 2010). Previously, Lancaster et al. (2010) showed that females of U. stansburiana can induce variable dorsal patterns in progeny via manipulation of estradiol concentrations in egg yolk. Such maternally induced back patterns are associated with different anti-predator strategies and the progeny with certain combinations of back pattern and anti-predator strategy have higher fitness in the wild (Lancaster et al. 2010). Thus, females can resolve differing correlational selection pressures on different progeny by maternal effects. Temperature preference, which is very important for physiology, behavior, and fitness of lizards, seems to be heritable through dams but not through sires. We therefore checked the possibility that maternal effects rather than additive genetic variation accounted for the variation in hatchling Tp. The nested half-sib design of our breeding experiment allowed us to estimate the relative contributions of additive genetic variation and maternal effects to variation in hatchling Tp (Falconer 1981; Sinervo 1998). Only one previous study has examined the heritability of body temperature in lizards using the species Sceloporus occidentalis (Sinervo 1990). The estimates of genetic sources of variation in that study were potentially confounded by maternal effects and dominance variation (Sinervo 1990) as the calculations were based on Tb values of full-sibling correlations rather than parent-offspring regression (Falconer 1981; Sinervo 1998).

Ours is the first study to report the influence of maternal effects on physiological trait such as temperature preference in progeny using controlled laboratory genetic crosses. Maternal effects were earlier thought to be ‘troublesome source of environmental variation’ confounding the estimates of heritability (Falconer 1981). However, they have now been recognized as a cause of phenotypic variation that may be important for adaptation in heterogeneous environments (Mousseau and Fox 1998). Maternal effects can manifest themselves at various stages of offspring development such as prezygotic, postzygotic–prenatal and postzygotic–postnatal effects (Wade 1998). In our experimental set up, after females laid eggs, all eggs were incubated under similar conditions eliminating potential postzygotic–postnatal maternal effects due to choice of oviposition site or incubation temperatures (Sinervo and Doughty 1996; Du et al. 2010). Standard incubation temperature (28°C) effectively reduced potential variation in growth rates or hatchling performance due to variation in incubation temperature and gave us more confidence that the variation in hatchling Tp can be attributed to mother's Tb. The lizards involved in the breeding experiment were housed under similar conditions for breeding and females, when gravid, were moved to separate bins and housed under standard conditions. Thus, we minimized the environmental variation experienced by lizards in the laboratory. The influence on hatchling Tp, therefore, seems to be due to prezygotic and/or postzygotic prenatal maternal effects that are not dependent on recent temperatures experienced by females. Fertilized eggs are retained in the females' oviduct for approximately 10 days before laying, as the various egg layers are added to the recently fertilized and yolky egg (Sinervo and DeNardo 1996). This time frame provides ample opportunity for maternal modulation of thermal preference of progeny. However, the precise developmental status of the preoptic area of the hypothalamus, which controls temperature regulation in both ectothermic and endothermic vertebrates (Romanovsky 2007), is not known for embryos laid by U. stansburiana females.

Maternal effects could be seen as a special form of phenotypic plasticity – that is, trans-generational phenotypic plasticity (TPP) because such effects provide a mechanism by which mothers influence future offspring development and phenotype in response to current, predictive cues (Mousseau and Fox 1998). However, the ecological or evolutionary consequences of these maternal effects for the hatchlings' fitness must be estimated to understand whether these effects are truly adaptive or merely a physiological inevitability (Marshall and Uller 2007). In our study, temperatures experienced by gravid females influenced hatchling survival (2007–2008 data, Table 2) such that hatchlings born to dams with lower body temperature were more likely to survive through the winter hibernation. In addition to the direct effect on hatchling survival, temperatures experienced by the mother and the mother's genotype (presence or absence of blue alleles) both influenced hatchling's Tp. Our analyses of natural selection on progeny survival to maturity (Table 2) indicate a significant dam Tb × dam OBY genotype effect, suggestive of strong correlational selection on the maternal effect mechanism discovered in our study. Similar effects have been found for the other complex maternal determination of OBY × dorsal pattern × maternal estrogen in yolk (Lancaster et al. 2007) or for OBY × egg size that in interaction determine progeny body morphology, dorsal patterns, escape behavior that influence survival (Lancaster et al. 2010). We suggest that such maternal effect machinery must entail selection on complex epistatic mechanisms involving multiple genes and multiple fitness optima. For this thermoregulatory maternal effect, the effect of dam's blue allele on hatchling Tp cannot be due to higher temperature experienced by bb females when gravid, because bb females have low Tp when gravid compared to yy and oo females (Fig. 3). The significant effect of dam Tp on progeny Tp, along with the significant effect of dam's blue color alleles on progeny Tp (Fig. 4), and the corresponding lack of a heritable effect through the sire (Fig. 5) indicate that Tp is controlled largely by a maternal effect that is associated with dam throat color alleles, and then can persist over generations via the impact of dam Tp per se. The developmental control of progeny Tp is, therefore, due to a persistent maternal effect and under selection in nature. In the ecological context, it might mean that the progeny of dams with blue alleles are more likely to survive in hotter environments and/or that dams with blue alleles might choose to lay eggs later in the breeding season compared to other genotypes. Additional data on how the pattern of selection on Tp changes over the long-term will be required to resolve such issues.

This result has important implications under the current climate change scenario (Parmesan 2006; IPCC 2007) as changes in environmental temperatures can alter body temperature of ectotherms and thus their physiological performance and vulnerability (Kearney et al. 2009; Huey et al. 2012; Moritz et al. 2012). On shorter time-scales and/or under slower climate warming scenarios, maternal effects on hatchlings' Tp may provide an important buffering mechanism through TPP to mitigate the effects of local warming trends, especially for lizards that do not show long range dispersal. The strength of maternal effects can itself be under selection (Kirkpatrick and Lande 1989) both at maternal and offspring level. Thus, adaptation through maternal effects can occur only if the strength of maternal effects is heritable (Visser 2008). Very little or no effect of additive genetic components on Tp would, therefore, severely constrain or slow down the evolution of higher Tp under a rapid climate warming scenario (Sinervo et al. 2010). The mechanisms underlying the persistent maternal effect can only respond rapidly to climate warming if the maternal effects expressed by females with yellow and orange color alleles, which are associated with lower Tp are reversed or nullified. Otherwise selection for higher Tp to adapt to a warming climate would necessarily impose correlated selection on the throat color alleles, which are themselves under extremely strong-frequency dependent selection in both males (Sinervo et al. 2006) and females (Sinervo et al. 2000a,b). The strength of the selection in such case will depend on the magnitude and pace of warming.

Acknowledgements

  1. Top of page
  2. Abstract
  3. Introduction
  4. Materials and Methods
  5. Data analyses
  6. Results
  7. Discussion
  8. Acknowledgements
  9. Data Archive Plan
  10. Conflict of Interest
  11. References

We thank R. B. Huey for his useful comments and suggestions about the manuscript and S. A. Paranjpe, L. Lancaster for help with analyses. This study was supported by NSF grant IOS-1022031 to D. Paranjpe and B. Sinervo. Funding for Open Access provided by the University of California Santa Cruz Open Access Fund.

Data Archive Plan

  1. Top of page
  2. Abstract
  3. Introduction
  4. Materials and Methods
  5. Data analyses
  6. Results
  7. Discussion
  8. Acknowledgements
  9. Data Archive Plan
  10. Conflict of Interest
  11. References

All data will be deposited in Merritt Repository Service (http://www.cdlib.org/services/uc3/merritt/) at the University of California Curation Center (UC3) that will manage, archive, and share digital content.

References

  1. Top of page
  2. Abstract
  3. Introduction
  4. Materials and Methods
  5. Data analyses
  6. Results
  7. Discussion
  8. Acknowledgements
  9. Data Archive Plan
  10. Conflict of Interest
  11. References
  • Angilletta, M. J., L. G. Montgomery, and Y. L. Werner. 1999. Temperature preference in geckos: diel variation in juveniles and adults. Herpetologica 55:212222.
  • Angilletta, M. J. Jr, P. H. Niewiarowski, and C. A. Navas. 2002. The evolution of thermal physiology in ectotherms. J. Therm. Biol. 27:249268.
  • Angilletta, M. J. Jr, A. F. Bennett, H. Guderley, C. A. Navas, F. Seebacher, and R. S. Wilson. 2006. Coadaptation: a unifying principle in evolutionary thermal biology. Physiol. Biochem. Zool. 79:282294.
  • Autumn, K., and D. F. De Nardo. 1995. Behavioral thermoregulation increases growth rate in a nocturnal lizard. J. Herp. 29:157162.
  • Bennett, A. F. 1980. The thermal dependence of lizard behaviour. Anim. Behav. 28:752762.
  • Beuchat, C. A. 1988. Temperature effects during gestation in a viviparous lizard. J. Therm. Biol. 13:135142.
  • Bogert, C. M. 1949. Thermoregulation in reptiles, a factor in evolution. Evolution 3:195211.
  • Bogert, C. M. 1981. Investigations in the field and laboratory of behavioral thermoregulation in an iguanid lizard. Pp. 90102. P.E. P. Deraniyagala commemoration volume. Lake House Investments, Sri Lanka.
  • Bowker, R. G. 1984. Precision of thermoregulation of some African lizards. Physiol. Zool. 57:401412.
  • Brattstrom, B. H. 1965. Body temperatures of reptiles. Am. Midl. Nat. 73:376422.
  • Calsbeek, R., and B. Sinervo. 2004. Within-clutch variation in offspring sex determined by differences in sire body size: cryptic mate choice in the wild. J. Evol. Biol. 17:464470.
  • Calsbeek, R., and B. Sinervo. 2007. Correlational selection on lay date and life-history traits: experimental manipulations of territory and nest site quality. Evolution 61:10711083.
  • Christian, K. A., and B. W. Weavers. 1996. Thermoregulation of monitor lizards in Australia: an evaluation of methods in thermal biology. Ecol. Monogr. 66:139157.
  • Comendant, T., B. Sinervo, E. I. Svensson, and J. Wingfield. 2003. Social competition, corticosterone and survival in female lizard morphs. J. Evol. Biol. 16:948955.
  • Cossins, A. R., and K. Bowler. 1987. Temperature biology of animals. Chapman and Hall, New York.
  • Dewitt, C. B., and R. M. Friedman. 1979. Significance of skewness in ectotherm thermoregulation. Am. Zool. 19:195209.
  • Du, W.-G., M. Elphick, and R. Shine. 2010. Thermal regimes during incubation do not affect mean selected temperatures of hatchling lizards (Bassiana duperreyi, Scincidae). J. Therm. Biol. 35:4751.
  • Ellis, D. J., B. T. Firth, and I. Belan. 2008. Interseasonal variation in the circadian rhythms of locomotor activity and temperature selection in sleepy lizards, Tiliqua rugosa. J. Comp. Physiol. A 194:701712.
  • Falconer, D. S. 1981. Introduction to quantitative genetics. 2nd ed. Longman Publishing Group, Longman, London.
  • Falconer, D. S., and T. F. C. Mackay. 1996. Introduction to quantitative genetics. Longman, New York, NY.
  • Firth, B. T., and I. Belan. 1998. Daily and seasonal rhythms in selected body temperatures in the Australian lizard Tiliqua rugosa (Scincidae): field and laboratory observations. Physiol. Zool. 71:303311.
  • Forsman, A., J. Ahnesjo, S. Caesar, and M. Karlsson. 2008. A model of ecological and evolutionary consequences of color polymorphism. Ecology 89:3440.
  • Fry, J. D. 2004. Estimation of genetic variances and covariances by restricted maximum likelihood using PROC MIXED. Pp. 1119 in A. R. Saxton, ed. Genetic analysis of complex traits using SAS®. SAS Institute Inc., Cary, NC.
  • Gans, C., and F. H. Pough. 1982. Physiological ecology: its debt to reptilian studies, its value to students of reptiles. Pp. 111 in C. Gans and F. H. Pough, eds. Biology of reptilia vol 12 physiology C physiological ecology. Academic Press, London.
  • Gienapp, P., C. Teplitsky, J. S. Alho, J. A. Mills, and J. Merila. 2008. Climate change and evolution: disentangling environmental and genetic responses. Mol. Ecol. 17:167178.
  • Gil, M. J., F. Guerrero, and V. Perez-Mellado. 1994. Diel vari-ation in preferred body temperatures of the Moorish gecko Tarentola mauritanica during summer. Herpetol. J. 4:5659.
  • Grant, B. W., and A. E. Dunham. 1988. Thermally imposed time constraints on the activity of the desert lizard Sceloporus Merriami. Ecology 69:167176.
  • Hirth, H. F., and A. C. King. 1969. Body temperatures of snakes in different seasons. J. Herp. 3:101102.
  • Hoffmann, A. A., and C. M. Sgro. 2011. Climate change and evolutionary adaptation. Nature 470:479485.
  • Huey, R. B., and D. Berrigan. 2001. Temperature, demography, and ectotherm fitness. Am. Nat. 158:204210.
  • Huey, R. B., and E. R. Pianka. 2007. Lizard thermal biology: do genders differ? Am. Nat. 170:473478.
  • Huey, R. B., and M. Slatkin. 1976. Costs and benefits of lizard thermoregulation. Q. Rev. Biol. 51:363384.
  • Huey, R. B., M. R. Kearney, A. Krockenberger, J. A. M. Holtum, M. Jess, and S. E. Williams. 2012. Predicting organismal vulnerability to climate warming: roles of behaviour, physiology and adaptation. Philos. Trans. R. Soc. Lond. B Biol. Sci. 367:16651679.
  • Hutchison, V. H. 1979. The concept of critical thermal maximum. Am. J. Physiol. 237:R367R368.
  • Ibargüengoytía, N. R. 2005. Field, selected body temperature and thermal tolerance of the syntopic lizards Phymaturus patagonicus and Liolaemus elongatus (Iguania: Liolaemidae). J. Arid Environ. 62:435448.
  • IPCC. 2007. Climate change 2007: the physical science basis. Cambridge University Press, Cambridge, UK.
  • SAS Institute. 2010. JMP 9.0. SAS Institute, Inc, Cary, NC.
  • Kearney, M., R. Shine, and W. P. Porter. 2009. The potential for behavioral thermoregulation to buffer “cold-blooded” animals against climate warming. PNAS 106:38353840.
  • Kingsolver, J. G., K. R. Massie, G. J. Ragland, and M. H. Smith. 2007. Rapid population divergence in thermal reaction norms for an invading species: breaking the temperature-size rule. J. Evol. Biol. 20:892900.
  • Kirkpatrick, M., and R. Lande. 1989. The evolution of maternal characters. Evolution 43:485503.
  • Lailvaux, S. P., and D. J. Irschick. 2007. Effects of temperature and sex on jump performance and biomechanics in the lizard Anolis carolinensis. Funct. Ecol. 21:534543.
  • Lailvaux, S. P., G. J. Alexander, and M. J. Whiting. 2003. Sex-based differences and similarities in locomotor performance, thermal preferences, and escape behaviour in the lizard Platysaurus intermedius wilhelmi. Physiol. Biochem. Zool. 76:511521.
  • Lancaster, L. T., A. G. McAdam, J. C. Wingfield, and B. R. Sinervo. 2007. Adaptive social and maternal induction of antipredator dorsal patterns in a lizard with alternative social strategies. Ecol. Lett. 10:798808.
  • Lancaster, L. T., A. G. McAdam, and B. R. Sinervo. 2010. Maternal adjustment of egg size organizes alternative escape behaviors, promoting phenotypic adaptive integration. Evolution 64:16071621.
  • Licht, P. 1966. Reproduction in lizards: influence of temperature on photoperiodism in testicular recrudescence. Science 154:16681670.
  • Licht, P. 1967a. Environmental control of annual testicular cycles in the lizard Anolis carolinensis. I. Interaction of light and temperature in the initiation of testicular recrudescence. J. Expt. Zool. 165:505516.
  • Licht, P. 1967b. Environmental control of annual testicular cycles in the lizard Anolis carolinensis. II. Seasonal variations in the effects of photoperiod and temperature on testicular recrudescence. J. Expt. Zool. 166:243253.
  • Licht, P. 1973a. Influence of temperature and photoperiod on the annual ovarian cycle in the lizard Anolis carolinensis. Copeia 1973:465472.
  • Licht, P. 1973b. Environmental influences on the testis cycles of the lizards Dipsosaurus dorsalis and Xantusia vigilis. Comp. Biochem. Physiol. Part A 45:720.
  • Linhart, Y. B., and M. C. Grant. 1996. Evolutioanry significance of local genetic differentiation in plants. Annu. Rev. Ecol. Syst. 27:237277.
  • Marshall, J. D., and T. Uller. 2007. When is a maternal effect adaptive? Oikos 116:19571963.
  • Martin, T. L., and R. B. Huey. 2008. Why “suboptimal” is optimal: Jensen's inequality and ectotherm thermal preferences. Am. Nat. 171:E102E118.
  • Mayhew, W. W. 1963. Temperature preferences of Sceloporus orcutti. Herpetologica 18:217233.
  • Moritz, C., G. Langham, M. Kearney, A. Krockenberger, J. VanDerWal, and S. Williams. 2012. Integrating phylogeography and physiology reveals divergence of thermal traits between central and peripheral lineages of tropical rainforest lizards. Philos. Trans. R. Soc. Lond. B Biol. Sci. 367:16801687.
  • Mousseau, T. A., and C. W. Fox. 1998. Maternal effects as adaptations. Oxford University Press, Oxford, New York.
  • Paranjpe, D. A., R. D. Cooper, A. Patten, and B. Sinervo. 2012. Measuring thermal profile of reptiles in laboratory and field. Pp. 460462 in A. J. Spink, F. Greico, O. E. Krips, L. W. S. Loijens, L. P. J. J. Noldus and P. H. Zimmerman, eds. Proceedings of measuring behavior 2012. Utrecht, The Netherlands.
  • Parker, W. S., and E. R. Pianka. 1975. Comparative ecology of populations of the lizard Uta stansburiana. Copiea 1975:615632.
  • Parmesan, C. 2006. Ecological and evolutionary responses to recent climate change. Annu. Rev. Ecol. Evol. Syst. 37:637669.
  • Patterson, J. W., and P. M. C. Davies. 1978. Preferred body temperature: seasonal and sexual differences in the lizard Lacerta vivipara. J. Therm. Biol. 3:3941.
  • Pentecost, E. D. 1974. Behavior of Eumeces laticeps exposed to a thermal gradient. J. Herp. 8:169173.
  • Peterson, C. R., A. R. Gibson, and M. E. Dorcas. 1993. Snake thermal ecology: the causes and consequences of body-temperature variation. Pp. 241314 in R. A. Seigel and J. T. Collins, eds. Snakes: ecology and behavior. McGraw-Hill, New York, NY.
  • Pough, F. H., and C. Gans. 1982. The vocabulary of reptilian thermoregulation. Pp. 1723 in C. Gans and F. H. Pough, eds. Biology of reptilia vol 12 physiology C physiological ecology. Academic Press, London.
  • Refinetti, R., and S. J. Susalka. 1997. Circadian rhythm of temperature selection in a nocturnal lizard. Physiol. Behav. 62:331336.
  • Romanovsky, A. A. 2007. Thermoregulation: some concepts have changed. Functional architecture of the thermoregulatory system. Am. J. Physiol. Regul. Integr. Comp. Physiol. 292:R37R46.
  • Sartorius, S. S., J. P. S. do Amaral, R. D. Durtsche, C. M. Deen, and W. I. Lutterschmidt. 2002. Thermoregulatory accuracy, precision, and effectiveness in two sand-dwelling lizards under mild environmental conditions. Can. J. Zool. 80:19661976.
  • Shine, R. 1980. “Costs” of reproduction in reptiles. Oecologia 46:92100.
  • Sievert, L. M., and V. H. Hutchison. 1989. Influences of season, time of day, light and sex on the thermoregulatory behaviour of Crotaphytus collaris. J. Therm. Biol. 14:159165.
  • Sinervo, B. 1990. Evolution of thermal physiology and growth rate between populations of the western fence lizard (Sceloporus occidentalis). Oecologia 83:228237.
  • Sinervo, B. 1998. Adaptation of maternal effects in the wild: path analysis of natural variation and experimental tests of causation. Pp. 288306 in Mousseau, T. A. and C. W. Fox, eds. Maternal effects as adaptations. Oxford University Press, Oxford, New York.
  • Sinervo, B., and S. C. Adolph. 1994. Growth plasticity and thermal opportunity in sceloporus lizards. Ecology 75:776790.
  • Sinervo, B., and D. F. DeNardo. 1996. Cost of reproduction in the wild: path analysis of natural selection and experimental tests of causation. Evolution 50:12991313.
  • Sinervo, B., and P. Doughty. 1996. Interactive effects of offspring size and timing of reproduction on offspring reproduction: experimental, maternal, and quantitative genetic aspects. Evolution 50:13141327.
  • Sinervo, B., and K. D. Dunlap. 1995. Thyroxine affects behavioral thermoregulation but not growth rate among populations of the western fence lizard (Sceloporus occidentalis). J. Comp. Physiol. B. 164:509517.
  • Sinervo, B., and C. M. Lively. 1996. The rock-paper-scissors game and the evolution of alternative male strategies. Nature 380:240243.
  • Sinervo, B., and A. G. McAdam. 2008. Maturational costs of reproduction due to clutch size and ontogenetic conflict as revealed in the invisible fraction. Proc. R. Soc. B 275:629638.
  • Sinervo, B., and K. R. Zamudio. 2001. The evolution of alternative reproductive strategies: fitness differential, heritability, and genetic correlation between the sexes. J. Hered. 92:198205.
  • Sinervo, B., E. Svensson, and T. Comendant. 2000a. Density cycles and an offspring quantity and quality game driven by natural selection. Nature 406:985988.
  • Sinervo, B., D. B. Miles, W. A. Frankino, M. Klukowski, and D. F. DeNardo. 2000b. Testosterone, endurance, and Darwinian fitness: natural and sexual selection on the physiological bases of alternative male behaviors in side-blotched lizards. Horm. Behav. 38:222233.
  • Sinervo, B., C. Bleay, and C. Adamopoulou. 2001. Social causes of correlational selection and the resolution of a heritable throat color polymorphism in a lizard. Evolution 55:20402052.
  • Sinervo, B., R. Calsbeek, T. Comendant, C. Both, C. Adamopoulou, and J. Clobert. 2006. Genetic and maternal determinants of effective dispersal: the effect of sire genotype and size at birth in side-blotched lizards. Am. Nat. 168:8899.
  • Sinervo, B., F. Méndez-De-La-Cruz, D. B. Miles, B. Heulin, E. Bastiaans, M. V.-S. Cruz, et al. 2010. Erosion of lizard diversity by climate change and altered thermal niches. Science 328:894899.
  • Sokal, R. R., and F. J. Rohlf. 1981. Biometry. 2nd ed. W. H. Freeman, San Francisco.
  • Svensson, E., B. Sinervo, and T. Comendant. 2001. Condition, genotype-by-environment interaction, and correlational selection in lizard life-history morphs. Evolution 55:20532069.
  • Visser, M. E. 2008. Keeping up with the warming world: assessing the rate of adaptation to climate change. Proc. R. Soc. B 275:649659.
  • Wade, M. J. 1998. The evolutionary genetics of maternal effects. Pp. 521 in T. A. Mousseau and C. W. Fox, eds. Maternal effects as adaptations. Oxford University Press, Oxford, New York.
  • Waldschmidt, S., and C. R. Tracy. 1983. Interactions between a lizard and its thermal environment: implications for sprint performance and space utilization in the lizard Uta Stansburiana. Ecology 64:476484.
  • Werner, Y. L. 1990. Do gravid females of oviparous gekkonid lizards maintain elevated body temperatures? Hemidactylus frenatus and Lepidodactylus lugubris on Oahu. Amphib.-Reptil. 11:200204.
  • Werner, Y. L., and A. H. Whitaker. 1978. Observations and comments on the body temperature of some New Zealand reptiles. N.Z. J. Zool. 5:376393.
  • Zamudio, K. R., and B. Sinervo. 2000. Polygyny, mate-guarding, and posthumous fertilization as alternative male mating strategies. PNAS 97:1442714432.