Abstract
The early developmental trajectory is affected by genetic and environmental factors that co‐depend and interact often in a complex way. In order to distinguish their respective roles, we used canaries (Serinus canaria) of different genetic backgrounds (inbred and outbred birds). An artificial size hierarchy was created to provoke within‐nest competition, manipulating postnatal conditions. To this end, inbred birds were weight‐matched with outbred birds into duos, and each nest contained one duo of size‐advantaged, and one duo of size‐disadvantaged inbred and outbred nestlings. Prenatal (maternal) effects were taken into account also, enabling us to study the separate as well as the interactive effects of inbreeding, pre‐ and postnatal conditions on nestling development. We find that postnatal conditions were the most important determinant of early growth, with size‐advantaged nestlings growing faster and obtaining larger size/body mass at fledging in comparison with size‐disadvantaged nestlings. Prenatal conditions were important too, with birds that hatched from eggs that were laid late in the laying order obtaining a larger size at fledging than those hatched from early laid eggs. Inbreeding inhibited growth, but surprisingly this did not depend on (dis)advantageous pre‐ or postnatal conditions. Our findings imply that inbred individuals lose when they are in direct competition with same‐sized outbred individuals regardless of the rearing conditions, and we thus propose that reduced competitiveness is one of the driving forces of inbreeding depression.
Keywords: canary, hatching asynchrony, inbreeding–environment interaction, maternal effects, songbird
1. Introduction
The early developmental trajectory is an important determinant of key life history traits such as reproduction, aging, and life span (Gilbert, 2005; Metcalfe & Monaghan, 2001; Monaghan, 2008; Mousseau & Fox, 1998). Comprehending the causes of among‐individual variation in early development can therefore enhance our understanding of various ecological and evolutionary processes. The foremost source of variation in early development is the genotype, which sets the developmental limits for the individual (Metcalfe & Monaghan, 2001) and determines how an individual responds to environmental conditions (Gilbert, 2005). The environmental conditions experienced during early life constitute the second important source of variation in early development and can refer to pre‐ or postnatal conditions according to the period during which they act (Monaghan, 2008).
The early postnatal environment in birds, at least in altricial species that raise more than one offspring at a time, is above all shaped by siblings and the hierarchy among them (Forbes, 2010; Mainwaring, Dickens, & Hartley, 2010). In such species, nestlings are dependent on their parents for food, which is provided in response to begging behavior. However, because larger nestlings may reach closer to their parents while begging, push aside smaller siblings, and position themselves in favored feeding positions of the parents, large nestlings will most often be advantaged in food acquisition in comparison with smaller nestlings (e.g., Oddie, 2000; Royle, Hartley, & Parker, 2002). From a proximate point of view, within‐nest size differences arise in particular if females start to incubate the eggs before having laid the last egg, which will cause the eggs to hatch asynchronously (Magrath, 1989; Mock & Forbes, 1995). Thus, hatching asynchrony will lead to differences in age, and consequently size, with later‐hatched nestlings having a disadvantage in sibling competition in comparison with older siblings.
The prenatal environment is another important element of the early life conditions, which is in birds to a large extent shaped by mothers via differential allocation in eggs. This can relate to differences in egg size along the laying order, which can affect size at hatching and/or nutrient availability (Christians, 2002; Royle, Surai, McCartney, & Speake, 1999; Williams, 1994). Moreover, the contents of the egg can also differ along the laying order, for example, varying levels of hormones (Gil, Graves, Hazon, & Wells, 1999; Groothuis & Schwabl, 2002; Royle, Surai, & Hartley, 2001; Schwabl, 1993) and antioxidants (Blount et al., 2002; Royle, Surai, & Hartley, 2003; Royle et al., 1999, 2001). These maternally derived egg components can substantially affect further development of the offspring (referred to as maternal effects) and are thought to navigate the developmental trajectory according to the expected environmental conditions (Groothuis, Müller, von Engelhardt, Carere, & Eising, 2005; Muller & Groothuis, 2013). Thus, the extent to which maternal effects can (adaptively) influence development is often dependent on the posthatching environmental conditions experienced by the offspring (Marshall & Uller, 2007). For example, the testosterone content of the yolk increases with the laying order of the egg, which can stimulate faster growth and in this way prepare late‐hatched nestlings for their size‐disadvantaged position in the sibling hierarchy (Eising & Eikenaar, 2001; Groothuis et al., 2005; Müller, Boonen, Groothuis, & Eens, 2010; Muller & Groothuis, 2013; Schwabl, 1993, 1996).
Such maternal aggravation or alleviation of sibling competition via maternal effects exemplifies that pre‐ and postnatal environmental conditions are co‐dependent. However, not only pre‐ and postnatal environmental conditions are likely affecting offspring development in interplay, but an individual's response will also depend on genetic aspects of its condition. For example, a poor genetic makeup as a result from mating between related individuals (=inbreeding) can enhance the negative effects of adverse environmental conditions on the individual (Fox & Reed, 2011). Previously, it was shown that inbreeding depression on early growth was especially noticeable in small, late‐hatched nestlings, indicating that negative effects of hatching asynchrony interacted with inbreeding (de Boer, Eens, Fransen, & Müller, 2015). It is, however, unknown if this inbreeding–environment interaction is caused by differences in competitive ability, maternal effects, or even their interaction. An integrated experimental approach is required to obtain a better understanding of the relative importance of each of these factors.
Here, we investigated how the effects of genetic condition on early development are linked with environmental conditions experienced during the pre‐ and/or postnatal period in canaries (Serinus canaria). To this end, we mated full‐siblings (=inbred group) and unrelated individuals (=outbred group), to create two cohorts that differ in genetic condition. Inbred and outbred nestlings were weight‐matched and reared together in a foster nest, either in a “senior” (age/size advantaged) or in a “junior” (age/size disadvantaged) position. The junior nestlings are thus in an unfavorable condition in comparison with the senior nestlings, mimicking the natural sibling hierarchy as induced by hatching asynchrony, and thus manipulating an important aspect of postnatal conditions. These weight‐matched junior and senior duos were additionally matched for laying position, because as mentioned above, maternally allocated egg contents (e.g., hormones) may vary along the laying order, constituting an important aspect of prenatal conditions. We grouped first or second laid eggs as “A‐eggs,” and all later laid eggs as “B‐eggs,” because the first two eggs typically have the lowest testosterone content, while later laid eggs contain higher amounts (Schwabl, 1996; Vergauwen, Goerlich, Groothuis, Eens, & Müller, 2012). Finally, in order to investigate how maternal effects may modulate effects of hatching asynchrony, we created match and mismatch conditions. That is, nestlings hatched from A‐eggs were reared in a senior position (=matched pre‐ and postnatal conditions) or in a junior position (=mismatched pre‐ and postnatal conditions), and vice versa for nestlings hatched from B‐eggs.
The above‐mentioned experimental design enabled us to assess the relative importance of each factor and their potentially complex interplay on growth rate and size at fledging. We expect that junior nestlings are lagging in growth in comparison with senior nestlings, because the initial size disadvantage of junior nestlings constrains their access to food. Furthermore, we expect that competition may be mitigated by maternal effects, which should thus be particularly important for nestlings reared in a junior position. Last, we expect that heavy competition enhances inbreeding depression and that early growth should therefore be most inhibited in inbred nestlings that were reared in a junior position.
2. Material and Methods
2.1. Study species and experimental setup
One‐year‐old canaries, originating from an outbred population kept at the University of Antwerp, were used for breeding. The canaries were stimulated into reproductive state by setting the lights at a 14‐hr light, 10‐hr dark regime (starting March 2014). After 5 weeks with this light regime, the experiment commenced. Birds were kept in standard cages (50 × 64 × 40 cm3, GEHU cages, the Netherlands), equipped with two perches, shell sand, a nest‐cup, nesting material, and constant access to seeds (Van Camp, Belgium) and water. After breeding pairs had finished constructing a nest, it was checked daily for eggs. Eggs were weighed and marked according to order of laying with a nontoxic marker. Fourteen days after the first egg was laid (=minimal incubation period), nests were checked daily for nestlings that had hatched. Birds were given unlimited access to egg food (Van Camp, Belgium), supplemented with 1 tablespoon/kg Orlux hand mix (Versele‐Laga) and freshly germinated seeds after the first nestling hatched. All nestlings were marked for individual recognition at hatching with a nontoxic colored marker (Artline 70N), until a numbered metal ring could be fitted on its leg. It was also noted from which egg it had hatched, and on what date it hatched. Nestlings were weighed daily in the morning until 15 days after hatching. A sample of blood was taken at fledging (±25 days after hatching) in order to determine sex with the use of PCR. Additionally, birds were weighed at fledging and tarsus length was measured with calipers.
The focal birds used in this study originated from 40 full‐sibling breeding pairs (=94 inbred birds) and 43 breeding pairs in which the partners were unrelated (=94 outbred birds). All birds were cross‐fostered within 2 days after hatching. Birds were cross‐fostered in duos into a foster nest (N = 54). In 32 of these nests, nestlings were reared by unrelated foster parents, and in 22 by full‐sibling foster parents, which was taken into account in the statistical analyses. A duo consisted of an inbred and outbred bird that were matched according to the egg they had originated from (first or second egg= “A‐egg,” all later laid eggs=“B‐eggs”). Additionally, they were matched for weight at time of cross‐fostering (<0.2 g difference). Then, two sets of duos were combined, so that each experimental nest contained four nestlings, a typical brood size for canaries (Estramil, Eens, & Müller, 2013). Two sets of duos were combined based on age: each experimental nest contained an older “senior” duo, and a younger “junior” duo. The difference between seniors and juniors was 2 days in age, which corresponds to the first (hatched day i) and third (hatched day i + 2) position in the size hierarchy induced by natural hatching asynchrony (de Boer et al., 2015). If it was not possible to combine nestlings in this way, we combined nestlings that differed at least 0.5 g in weight at time of cross‐fostering which corresponds to at least 1 day difference in age (de Boer et al., 2015). Thus, four experimental treatments were created in both inbred as outbred birds: senior nestlings hatched from A‐eggs (N inbred = 25, N outbred = 25), senior nestlings hatched from B‐eggs (N inbred = 19, N outbred = 19), junior nestlings hatched from A‐eggs (N inbred = 17, N outbred = 17), and junior nestlings hatched from B‐eggs (N inbred = 33, N outbred = 33). In this way, prenatal effects (hatched from A‐ or B‐eggs) could be separated from postnatal effects (reared in junior or senior position in the within‐nest hierarchy).
2.2. Statistical analyses
The growth data were analyzed with nonlinear mixed effects modeling, with the use of the “nlme” package (Pinheiro, Bates, Debroy, Sarkar, & Team, 2016) in R software (R Core Development Team, 2014). To model the growth, we applied a logistic growth curve in the form of: , with W t = weight at time t (t = number of days after hatching), A = asymptotic mass, I = inflection point, and K = growth constant (for more details, see Sofaer, Chapman, Sillett, & Ghalambor, 2013). We included bird identity as a random effect, to correct for the repeated measurements in the data. Further, the nest the birds were reared in was included as a random effect, to correct for the lack of independence due to, among other things, shared parental care. We also included a random effect for the nest of origin, in order to correct for nonindependence of siblings. The model was the best fit if random effects were included for all growth parameters (A, I, and K). The parameters were allowed to not correlate with each other (i.e., an early inflection point did not have to be associated with a high asymptotic mass).
The fixed effects for the growth parameters were: sex, foster parents (full‐sibling or unrelated), prenatal conditions (=hatched from A or B‐egg), postnatal conditions (=junior or senior), and inbreeding status (=inbred or outbred). In order to test whether the effects of inbreeding were dependent on pre‐ and/or postnatal conditions experienced, we included interactions (inbreeding status × prenatal conditions, inbreeding status × postnatal conditions, prenatal conditions × postnatal conditions, inbreeding status × prenatal conditions × postnatal conditions). Lastly, it was tested whether the effects of inbreeding, prenatal conditions, and postnatal conditions were sex specific by including two‐way interactions between sex and each of these factors. Significance values of the fixed effects were obtained with stepwise backward elimination using log‐likelihood ratio (LR) tests, starting with the highest interaction.
Linear mixed models were used to analyze differences at fledging (=25 days after hatching) in tarsus length and weight. The same random effects, fixed effects, and interactions between fixed effects that were used for the analysis of growth (see above) were used for these analyses. We obtained significance values via stepwise backward elimination with the use of the lmerTest package (Kuznetsova, Brockhoff, & Christensen, 2015).
A binomial generalized linear model was used to analyze differences in the number of nestlings that survived until day 15 according to prenatal condition, postnatal condition, inbreeding, sex, and foster parents. We included the three‐way interaction between inbreeding status, prenatal conditions, and postnatal conditions, and all possible two‐way interactions to test whether differences in survival between inbred and outbred nestlings depended on environmental conditions and whether there were sex‐specific effects. Chi‐squared tests were used to obtain significance values. All results are presented as mean ± SE.
3. Results
The results of the statistical analyses of the effects of inbreeding, and pre‐ and postnatal conditions on different parameters of growth are summarized in Table 1.
Table 1.
Growth parameter | Term | LR | p‐ value |
---|---|---|---|
K | Inbreeding status: prenatal conditions: postnatal conditions | 0.03 | .85 |
I | Inbreeding status: prenatal conditions: postnatal conditions | 2.07 | .15 |
A | Inbreeding status: prenatal conditions: postnatal conditions | 1.67 | .20 |
K | Inbreeding status: prenatal conditions | 0.00 | .98 |
I | Inbreeding status: prenatal conditions | 0.59 | .44 |
A | Inbreeding status: prenatal conditions | 1.00 | .32 |
K | Inbreeding status: postnatal conditions | 0.70 | .40 |
I | Inbreeding status: postnatal conditions | 0.75 | .39 |
A | Inbreeding status: postnatal conditions | 0.05 | .83 |
K | Prenatal conditions: postnatal conditions | 3.33 | .07 |
I | Prenatal conditions: postnatal conditions | 0.34 | .56 |
A | Prenatal conditions: postnatal conditions | 0.25 | .62 |
K | Inbreeding status: sex | 1.48 | .22 |
I | Inbreeding status: sex | 0.18 | .67 |
A | Inbreeding status: sex | 0.12 | .73 |
K | Prenatal conditions: sex | 0.08 | .78 |
I | Prenatal conditions: sex | 1.59 | .21 |
A | Prenatal conditions: sex | 4.71 | .03* |
K | Postnatal conditions: sex | 0.62 | .43 |
I | Postnatal conditions: sex | 0.05 | .82 |
A | Postnatal conditions: sex | 0.02 | .89 |
K | Foster parents | 0.06 | .80 |
I | Foster parents | 0.35 | .55 |
A | Foster parents | 0.51 | .47 |
K | Prenatal conditions | 0.15 | .70 |
I | Prenatal conditions | 0.01 | .94 |
A | Prenatal conditions | In interaction | |
K | Postnatal conditions | 15.05 | <.001* |
I | Postnatal conditions | 7.68 | .0056* |
A | Postnatal conditions | 13.84 | <.001* |
K | Inbreeding status | 9.08 | .0026* |
I | Inbreeding status | 1.84 | .18 |
A | Inbreeding status | 0.61 | .43 |
K | Sex | 0.29 | .59 |
I | Sex | 2.32 | .13 |
A | Sex | In interaction |
3.1. Postnatal conditions
Postnatal conditions had large effects on the growth trajectory of canary nestlings. Birds that were reared in a senior position in the nest had larger growth constants (junior: 0.29 ± 0.005, senior: 0.32 ± 0.006), earlier inflection points (junior: 8.4 ± 0.2 days, senior: 7.7 ± 0.2 days), and larger asymptotic masses (junior: 17.1 ± 0.4 g, senior: 18.6 ± 0.5 g).
Tarsus length (F 1,137.13 = 111.12, p‐value =.0011) and weight at fledging (F 1,139.45 = 5.16, p‐value =.025) were significantly affected by postnatal conditions. Birds reared in junior positions in the nest were smaller (N = 80, tarsus length: 18.12 ± 0.08 mm, weight: 18.73 ± 0.2 g) than those reared in senior positions (N = 85, tarsus length: 18.46 ± 0.07 mm, weight: 19.39 ± 0.2 g).
3.2. Prenatal conditions
There were sex‐specific effects of prenatal conditions (Table 1). Prenatal effects on growth were more prominent in females than in males (Figure 1): females hatched from B‐eggs obtained larger asymptotic masses in comparison with females hatched from A‐eggs. In males, on the other hand, there was little difference in growth according to prenatal conditions. The effects of prenatal conditions were not dependent on postnatal conditions (Table 1).
Further, prenatal conditions affected tarsus length (F 1,125.82 = 3.98, p‐value =.048), but not weight (F 1,122.56 = 2.71, p‐value =.10) at fledging. Birds hatched from A‐eggs (N = 74, 18.25 ± 0.09 mm) had smaller tarsus lengths than birds hatched from B‐eggs (N = 91, 18.33 ± 0.07 mm). These effects were not sex specific (tarsus length: F 1,141.02 = 0.06, p = .81, weight: F 1,147.16 = 2.30, p‐value =.13).
3.3. Inbreeding
Inbreeding status significantly affected growth. Inbred nestlings had smaller growth constants (inbred: 0.29 ± 0.006, outbred: 0.31 ± 0.006) in comparison with outbred nestlings, but there were no differences in the inflection point or asymptotic mass according to inbreeding status (Table 1). The effects of inbreeding did not interact with postnatal conditions on any of the growth parameters; the effects of inbreeding were not dependent on size (dis)advantages in the nest (Figure 2).
There were also no significant interactions between inbreeding status and prenatal conditions (Table 1). Further, there was no significant three‐way interaction between inbreeding status, and pre‐ and postnatal conditions on any of the growth parameters. Indeed, as visualized in Figure 3, outbred nestlings outgrew inbred nestlings under all conditions, although this was most noticeable in senior nestlings that hatched from A‐eggs.
Inbreeding did not affect weight/size at fledging (tarsus length: F 1,41.05 = 0.18, p‐value =.67, weight: F 1,46.27 = 0.70, p‐value =.41), neither in interaction with postnatal conditions (tarsus length: F 1,110.80 = 1.05, p‐value =.31, weight: F 1,113.55 = 0.34, p‐value =.56) nor prenatal conditions (tarsus length: F 1,94.23 = 0.33, p‐value =.57, weight: F 1,87.35 = 1.19, p‐value =.28).
Independent of any factors, sex affected weight (F 1,155.85 = 9.78, p‐value =.0021) and tarsus length at fledging (F 1,152.07 = 4.34, p‐value =.039). Males were larger (N = 87, tarsus length: 18.37 ± 0.08 mm, weight: 19.40 ± 0.2 g) than females (N = 78, tarsus length: 18.21 ± 0.07 mm, weight: 18.69 ± 0.2 g).
3.4. Survival
Postnatal conditions strongly affected survival until 15 days after hatching (χ2(1) = 12.18, p = .0005). Only one bird that was reared in the senior position did not survive, whereas 14% ± 4% of junior birds did not survive. There was no significant difference in survival according to any of the other factors (all p‐values >.08).
In none of the above analyses, was there a significant effect of the foster parents (full sibling or unrelated parents) (all p‐values >.4).
4. Discussion
We compared the early developmental trajectories of inbred birds with outbred birds under distinct competitive conditions, while accounting for maternal effects. Our unique experimental design enabled us to establish the relative importance of inbreeding, pre‐ and postnatal conditions, and their potential interactions, in a way that most likely would not be achievable in wild populations.
4.1. Postnatal conditions
We show that manipulation of the within‐nest size hierarchy, an important aspect of the postnatal conditions which is typically induced by hatching asynchrony, had profound effects on the early development of the birds. As expected, nestlings that were placed in a senior (size advantaged) position grew faster than those placed in a junior (size disadvantaged) position. In addition, senior nestlings were heavier and structurally larger at fledging, and their survival was higher than was found for junior nestlings. These findings imply that we successfully mimicked hatching asynchrony, which generally handicaps the smaller nestlings (Forbes, 2010; Mainwaring et al., 2010). The latter is among other things caused by inhibited food acquisition due to the disadvantage in sibling competition (Viñuela, 1999) and/or differential parental food allocation (Avilés, Parejo, & Rodríguez, 2011; Cotton, Wright, & Kacelnik, 1999; Kilner, 2002). Thus, size asymmetries can even cause differences in nestling growth and survival when parents have ad libitum access to food (see also de Boer et al., 2015), but obviously such effects may become even more pronounced when there is limited access to food. Size (dis)advantages can, thus, determine under which selection pressures, nestlings are reared, which can, similar to our findings, directly affect growth (de Boer et al., 2015; Mainwaring et al., 2010) and survival (Forbes, 2010). Furthermore, there may be physiological effects of food restriction (Giordano, Costantini, & Tschirren, 2015), and there may also be long‐term consequences, for example, on fitness (Mainwaring, Blount, & Hartley, 2012) and personality traits (Mainwaring & Hartley, 2013; Rokka, Pihlaja, Siitari, & Soulsbury, 2014), which we did not analyze here.
4.2. Prenatal conditions
We expected that maternal effects would mitigate the effects of sibling hierarchy and that thus specifically size‐disadvantaged junior nestlings (independent of sex) would benefit. But, we did not find that the effects of prenatal conditions interacted with postnatal conditions. Regardless of whether or not the position in the size hierarchy matched the laying order of the egg, there were differences in growth among female nestlings and an overall size difference at fledging according to which egg they hatched from. Birds that hatched from B‐eggs were larger at fledging than those hatched from A‐eggs. We did not measure egg contents in this study, but late laid eggs presumably contained, among other things, less antioxidants (Blount et al., 2002; Royle et al., 1999, 2001, 2003), and less antibodies (Blount et al., 2002) than early laid eggs. It therefore seems contradictory that birds that hatched from late laid eggs benefitted, because birds that hatched from early laid eggs presumably hatched from qualitatively better eggs. The most likely explanation for this finding is a differential allocation of hormones, with late laid eggs containing relatively more androgens, which has consistently been found in captive canaries also under ad libitum feeding conditions (Schwabl, 1993, 1996; Vergauwen et al., 2012). Apparently, this can significantly stimulate growth, and even overrule the effects of the other egg compounds (Eising & Eikenaar, 2001; Groothuis et al., 2005). However, our findings are not congruent with the existing theory on the adaptive significance of maternal effects (Groothuis et al., 2005; Marshall & Uller, 2007; Muller & Groothuis, 2013) as nestlings benefitted independent of the postnatal conditions they encountered. A possible explanation is that nestlings experienced competition with a size‐matched individual in both senior and junior positions, which may have negated the context dependence of maternal effects in our experimental setup.
The prenatal effects were more pronounced and in particular visible at earlier developmental stages among female nestlings. Such sex‐specific effects have been shown before (Müller et al., 2005) and are thought to relate to higher benefits for the smaller sex that is more competitive disadvantaged, here females (Oddie, 2000).
4.3. Inbreeding
Inbreeding was an important predictor of early growth; outbred nestlings grew faster in comparison with inbred nestlings. Such negative effects of inbreeding have been described before. In birds specifically, inbreeding has been shown to affect hatching success (de Boer et al., 2015; Spottiswoode & Møller, 2004), growth (de Boer et al., 2015; Bolund, Martin, Kempenaers, & Forstmeier, 2010), and traits in adulthood, such as sexual ornamentation (de Boer et al., 2016; Bolund et al., 2010; Ferrer, García‐Navas, Bueno‐Enciso, Sanz, & Ortego, 2015) and reproductive success (Seddon, Amos, & Mulder, 2004).
However, it was expected that the effects of inbreeding would be enhanced under more stressful conditions (Armbruster & Reed, 2005; Fox & Reed, 2011), and, more specifically, by increased levels of competition (de Boer et al., 2015; Carr & Dudash, 1995; Cheptou, Lepart, & Escarré, 2001; Gallardo & Neira, 2005; Meagher, Penn, & Potts, 2000; Rowe & Beebee, 2004; Valtonen, Roff, & Rantala, 2014). Indeed, it was found in a previous study that the effects of inbreeding were context dependent, being enhanced among last‐hatching nestlings, and it was hypothesized that this inbreeding–environment interaction was caused by sibling competition (de Boer et al., 2015). Therefore, we predicted that the effects of inbreeding should be most noticeable under more intense competition that is in the size‐disadvantaged nestlings.
In contrast, the differences in growth between inbred and outbred nestlings were not affected by the position in the size hierarchy and thus degree of competition. However, there is one major difference in the experimental design between this study and the previous study that may explain this discrepancy. In the previous study (de Boer et al., 2015), broods of inbred nestlings were compared with broods of outbred nestlings, thus in a between‐nest comparison. Whereas here inbred birds were placed in direct competition with weight‐matched outbred birds. Perhaps, small (physiological) differences between inbred and outbred birds were enhanced under the pressure of direct competition, which could be particularly pronounced as competition between equally sized individuals is thought to be most intense (Gilby, Mainwaring, & Griffith, 2011; Merkling et al., 2013; Osorno & Drummond, 1995).
These findings imply that inbred birds are disadvantaged in competition, because inbred individuals obtained slower growth compared to equally sized outbred individuals, regardless of the rearing conditions. This could imply that the loss in competition depends more so on the type of competitor, than on how strong the level of competition is. This is comparable to findings in plants; the negative effects of inbreeding are most noticeable when inbred plants are competing directly with outbred plants (Cheptou et al., 2001; Koelewijn, 2004). Moreover, Cheptou et al. (2001) found that the type of competitor (inbred or outbred plant) was even more important for inbreeding depression than the number of competitors. If we can indeed extrapolate these findings in plants to our findings in birds, and inbred birds lose when they compete with outbred birds regardless of (dis)advantageous conditions, this would be an important factor to consider in the future (vertebrate) animal studies. Unfortunately, we are unaware of what exactly causes a disadvantage in competition, but this could relate to energetic, cognitive, or physiological aspects.
Under natural conditions, inbred nestlings will not compete with outbred nestlings within a brood. However, competition is a key selective pressure throughout an individual's life span, and although inbred birds eventually obtained the same size as outbred birds, if there is some intrinsic effect of inbreeding that causes a bad performance in competition, this can certainly be of importance later in life. In the future, we aim to explore further whether the restrictions in competitiveness are long‐lasting, and if/how the differences in early development are reflected in the adult phenotype.
Acknowledgments
We thank Peter Scheys, Josie Meaney, and Geert Eens for invaluable practical assistance, Jasmijn Daans for performing the molecular sexing, and Thomas Raap for statistical advice. This study was funded by the Research Foundation Flanders (FWO id: 11O5914N and 11O5916N) and by the University of Antwerp, and all experiments have been approved by the University of Antwerp ethical committee (file number 2011‐86).
Conflict of Interest
None declared.
de Boer, R. A. , Eens, M. and Müller, W. (2016), A loss of heterozygosity, a loss in competition? The effects of inbreeding, pre‐ and postnatal conditions on nestling development. Ecology and Evolution, 6: 7921–7930. doi: 10.1002/ece3.2496
Funding information
Research Foundation Flanders, Grant/Award Number: 11O5914N and 11O5916N; University of Antwerp
References
- Armbruster, P. , & Reed, D. H. (2005). Inbreeding depression in benign and stressful environments. Heredity, 95, 235–242. [DOI] [PubMed] [Google Scholar]
- Avilés, J. M. , Parejo, D. , & Rodríguez, J. (2011). Parental favouritism strategies in the asynchronously hatching European Roller (Coracias garrulus). Behavioral Ecology and Sociobiology, 65, 1549–1557. [Google Scholar]
- Blount, J. D. , Surai, P. F. , Nager, R. G. , Houston, D. C. , Møller, A. P. , Trewby, M. L. , & Kennedy, M. W. (2002). Carotenoids and egg quality in the lesser black‐backed gull Larus fuscus: A supplemental feeding study of maternal effects. Proceedings of the Royal Society of London, Series B: Biological Sciences, 269, 29–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Boer, R. A. , Eens, M. , Fransen, E. , & Müller, W. (2015). Hatching asynchrony aggravates inbreeding depression in a songbird (Serinus canaria): An inbreeding–environment interaction. Evolution, 69, 1063–1068. [DOI] [PubMed] [Google Scholar]
- de Boer, R. A. , Eens, M. , & Müller, W. (2016). ‘Out of tune’: consequences of inbreeding on bird song. Proceedings of the Royal Society of London, Series B: Biological Sciences, 283, 20161142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bolund, E. , Martin, K. , Kempenaers, B. , & Forstmeier, W. (2010). Inbreeding depression of sexually selected traits and attractiveness in the zebra finch. Animal Behaviour, 79, 947–955. [Google Scholar]
- Carr, D. E. , & Dudash, M. R. (1995). Inbreeding depression under a competitive regime in Mimulus guttatus: Consequences for potential male and female function. Heredity, 75, 437–445. [Google Scholar]
- Cheptou, P. O. , Lepart, J. , & Escarré, J. (2001). Inbreeding depression under intraspecific competition in a highly outcrossing population of Crepis sancta (Asteraceae): Evidence for frequency‐dependent variation. American Journal of Botany, 88, 1424–1429. [PubMed] [Google Scholar]
- Christians, J. K. (2002). Avian egg size: Variation within species and inflexibility within individuals. Biological Reviews of the Cambridge Philosophical Society, 77, 1–26. [DOI] [PubMed] [Google Scholar]
- Cotton, P. A. , Wright, J. , & Kacelnik, A. (1999). Chick begging strategies in relation to brood hierarchies and hatching asynchrony. American Naturalist, 153, 412–420. [DOI] [PubMed] [Google Scholar]
- Eising, C. M. , & Eikenaar, C. (2001). Maternal androgens in black‐headed gull (Larus ridibundus) eggs: Consequences for chick development. Proceedings of the Royal Society of London, Series B: Biological Sciences, 268, 839–846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Estramil, N. , Eens, M. , & Müller, W. (2013). Coadaptation of offspring begging and parental provisioning ‐ an evolutionary ecological perspective on avian family life. PLoS ONE, 8, e70463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ferrer, E. S. , García‐Navas, V. , Bueno‐Enciso, J. , Sanz, J. J. , & Ortego, J. (2015). Multiple sexual ornaments signal heterozygosity in male blue tits. Biological Journal of the Linnean Society, 115, 362–375. [Google Scholar]
- Forbes, S. (2010). Social rank governs the effective environment of siblings. Biology Letters, 7, 346–348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fox, C. W. , & Reed, D. H. (2011). Inbreeding depression increases with environmental stress: An experimental study and meta‐analysis. Evolution, 65, 246–258. [DOI] [PubMed] [Google Scholar]
- Gallardo, J. A. , & Neira, R. (2005). Environmental dependence of inbreeding depression in cultured Coho salmon (Oncorhynchus kisutch): Aggressiveness, dominance and intraspecific competition. Heredity, 95, 449–456. [DOI] [PubMed] [Google Scholar]
- Gil, D. , Graves, J. , Hazon, N. , & Wells, A. (1999). Male attractiveness and differential testosterone investment in zebra finch eggs. Science, 286, 126–128. [DOI] [PubMed] [Google Scholar]
- Gilbert, S. F. (2005). Mechanisms for the environmental regulation of gene expression: Ecological aspects of animal development. Journal of Biosciences, 30, 65–74. [DOI] [PubMed] [Google Scholar]
- Gilby, A. J. , Mainwaring, M. C. , & Griffith, S. C. (2011). The adaptive benefit of hatching asynchrony in wild zebra finches. Animal Behaviour, 82, 479–484. [Google Scholar]
- Giordano, M. , Costantini, D. , & Tschirren, B. (2015). Sex‐specific effects of prenatal and postnatal nutritional conditions on the oxidative status of great tit nestlings. Oecologia, 177, 123–131. [DOI] [PubMed] [Google Scholar]
- Groothuis, T. G. G. , Müller, W. , von Engelhardt, N. , Carere, C. , & Eising, C. (2005). Maternal hormones as a tool to adjust offspring phenotype in avian species. Neuroscience & Biobehavioral Reviews, 29, 329–352. [DOI] [PubMed] [Google Scholar]
- Groothuis, T. G. , & Schwabl, H. (2002). Determinants of within‐ and among‐clutch variation in levels of maternal hormones in Black‐Headed Gull eggs. Functional Ecology, 16, 281–289. [Google Scholar]
- Kilner, R. M. (2002). Sex differences in canary (Serinus canaria) provisioning rules. Behavioral Ecology and Sociobiology, 52, 400–407. [Google Scholar]
- Koelewijn, H. (2004). Sibling competition, size variation and frequency‐dependent outcrossing advantage in Plantago coronopus. Evolutionary Ecology, 18, 51–74. [Google Scholar]
- Kuznetsova, A. , Brockhoff, P. B. , & Christensen, R. H. B. (2015). lmerTest: Tests in Linear Mixed Effects Models. R package version 2.0‐29.
- Magrath, R. D. (1989). Hatching asynchrony and reproductive success in the blackbird. Nature, 339, 536–538. [Google Scholar]
- Mainwaring, M. C. , Blount, J. D. , & Hartley, I. R. (2012). Hatching asynchrony can have long‐term consequences for offspring fitness in zebra finches under captive conditions. Biological Journal of the Linnean Society, 106, 430–438. [Google Scholar]
- Mainwaring, M. C. , Dickens, M. , & Hartley, I. R. (2010). Environmental and not maternal effects determine variation in offspring phenotypes in a passerine bird. Journal of Evolutionary Biology, 23, 1302–1311. [DOI] [PubMed] [Google Scholar]
- Mainwaring, M. C. , & Hartley, I. R. (2013). Hatching asynchrony and offspring sex influence the subsequent exploratory behaviour of zebra finches. Animal Behaviour, 85, 77–81. [Google Scholar]
- Marshall, D. J. , & Uller, T. (2007). When is a maternal effect adaptive? Oikos, 116, 1957–1963. [Google Scholar]
- Meagher, S. , Penn, D. J. , & Potts, W. K. (2000). Male‐male competition magnifies inbreeding depression in wild house mice. Proceedings of the National Academy of Sciences of the United States of America, 97, 3324–3329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Merkling, T. , Agdere, L. , Albert, E. , Durieux, R. , Hatch, S. A. , Danchin, E. , & Blanchard, P. (2013). Is natural hatching asynchrony optimal? An experimental investigation of sibling competition patterns in a facultatively siblicidal seabird. Behavioral Ecology and Sociobiology, 68, 309–319. [Google Scholar]
- Metcalfe, N. B. , & Monaghan, P. (2001). Compensation for a bad start: Grow now, pay later? Trends in Ecology & Evolution, 16, 254–260. [DOI] [PubMed] [Google Scholar]
- Mock, D. W. , & Forbes, L. S. (1995). The evolution of parental optimism. Trends in Ecology & Evolution, 10, 130–134. [DOI] [PubMed] [Google Scholar]
- Monaghan, P. (2008). Early growth conditions, phenotypic development and environmental change. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 363, 1635–1645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mousseau, T. A. , & Fox, C. W. (1998). The adaptive significance of maternal effects. Trends in Ecology & Evolution, 13, 403–407. [DOI] [PubMed] [Google Scholar]
- Müller, W. , Boonen, S. , Groothuis, T. G. G. , & Eens, M. (2010). Maternal yolk testosterone in canary eggs: Toward a better understanding of mechanisms and function. Behavioral Ecology, 21, 493–500. [Google Scholar]
- Muller, M. , & Groothuis, T. G. G. (2013). Within‐clutch variation in yolk testosterone as an adaptive maternal effect to modulate avian sibling competition: Evidence from a comparative study. American Naturalist, 181, 125–136. [DOI] [PubMed] [Google Scholar]
- Müller, W. , Groothuis, T. G. G. , Kasprzik, A. , Dijkstra, C. , Alatalo, R. V. , & Siitari, H. (2005). Prenatal androgen exposure modulates cellular and humoral immune function of black‐headed gull chicks. Proceedings of the Royal Society of London, Series B: Biological Sciences, 272, 1971–1977. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oddie, K. R. (2000). Size matters: Competition between male and female great tit offspring. Journal of Animal Ecology, 69, 903–912. [DOI] [PubMed] [Google Scholar]
- Osorno, J. L. , & Drummond, H. (1995). The function of hatching asynchrony in the blue‐footed booby. Behavioral Ecology and Sociobiology, 37, 265–273. [Google Scholar]
- Pinheiro, J. , Bates, D. , Debroy, S. , Sarkar, D. , & Team, R. C. (2016). nlme: Linear and Nonlinear Mixed Effects Models. http://CRAN.R-project.org/package=nlme
- R Core Development Team (2014). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. [Google Scholar]
- Rokka, K. , Pihlaja, M. , Siitari, H. , & Soulsbury, C. D. (2014). Sex‐specific differences in offspring personalities across the laying order in magpies Pica pica. Behavioural Processes, 107, 79–87. [DOI] [PubMed] [Google Scholar]
- Rowe, G. , & Beebee, T. J. (2004). Intraspecific competition disadvantages inbred natterjack toad (Bufo calamita) genotypes over outbred ones in a shared pond environment. Journal of Animal Ecology, 74, 71–76. [Google Scholar]
- Royle, N. J. , Hartley, I. R. , & Parker, G. A. (2002). Begging for control: When are offspring solicitation behaviours honest? Trends in Ecology & Evolution, 17, 434–440. [Google Scholar]
- Royle, N. J. , Surai, P. F. , & Hartley, I. R. (2001). Maternally derived androgens and antioxidants in bird eggs: Complementary but opposing effects? Behavioral Ecology, 12, 381–385. [Google Scholar]
- Royle, N. J. , Surai, P. F. , & Hartley, I. R. (2003). The effect of variation in dietary intake on maternal deposition of antioxidants in zebra finch eggs. Functional Ecology, 17, 472–481. [Google Scholar]
- Royle, N. J. , Surai, P. F. , McCartney, R. J. , & Speake, B. K. (1999). Parental investment and egg yolk lipid composition in gulls. Functional Ecology, 13, 298–306. [Google Scholar]
- Schwabl, H. (1993). Yolk is a source of maternal testosterone for developing birds. Proceedings of the National Academy of Sciences of the United States of America, 90, 11446–11450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schwabl, H. (1996). Maternal testosterone in the avian egg enhances postnatal growth. Comparative Biochemistry and Physiology, Part A: Molecular & Integrative Physiology, 114A, 271–276. [DOI] [PubMed] [Google Scholar]
- Seddon, N. , Amos, W. , & Mulder, R. A. (2004). Male heterozygosity predicts territory size, song structure and reproductive success in a cooperatively breeding bird. Proceedings of the Royal Society of London, Series B: Biological Sciences, 271, 1823–1829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sofaer, H. R. , Chapman, P. L. , Sillett, T. S. , & Ghalambor, C. K. (2013). Advantages of nonlinear mixed models for fitting avian growth curves. Journal of Avian Biology, 44, 469–478. [Google Scholar]
- Spottiswoode, C. , & Møller, A. P. (2004). Genetic similarity and hatching success in birds. Proceedings of the Royal Society of London, Series B: Biological Sciences, 271, 267–272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valtonen, T. M. , Roff, D. A. , & Rantala, M. J. (2014). The deleterious effects of high inbreeding on male Drosophila melanogaster attractiveness are observed under competitive but not under non‐competitive conditions. Behavior Genetics, 44, 144–154. [DOI] [PubMed] [Google Scholar]
- Vergauwen, J. , Goerlich, V. C. , Groothuis, T. G. , Eens, M. , & Müller, W. (2012). Food conditions affect yolk testosterone deposition but not incubation attendance. General and Comparative Endocrinology, 176, 112–119. [DOI] [PubMed] [Google Scholar]
- Viñuela, J. (1999). Sibling aggression, hatching asynchrony, and nestling mortality in the black kite (Milvus migrans). Behavioral Ecology and Sociobiology, 45, 33–45. [Google Scholar]
- Williams, T. D. (1994). Intraspecific variation in egg size and egg composition in birds: Effects on offspring fitness. Biological Reviews of the Cambridge Philosophical Society, 69, 35–59. [DOI] [PubMed] [Google Scholar]