Jelena Kralj, Miloš Martinović, Luka Jurinović, Péter Szinai, Szandra Sütő, Bálint Preiszner. 2020: Geolocator study reveals east African migration route of Central European Common Terns. Avian Research, 11(1): 6. DOI: 10.1186/s40657-020-00191-z
Citation:
Jelena Kralj, Miloš Martinović, Luka Jurinović, Péter Szinai, Szandra Sütő, Bálint Preiszner. 2020: Geolocator study reveals east African migration route of Central European Common Terns. Avian Research, 11(1): 6. DOI: 10.1186/s40657-020-00191-z
Jelena Kralj, Miloš Martinović, Luka Jurinović, Péter Szinai, Szandra Sütő, Bálint Preiszner. 2020: Geolocator study reveals east African migration route of Central European Common Terns. Avian Research, 11(1): 6. DOI: 10.1186/s40657-020-00191-z
Citation:
Jelena Kralj, Miloš Martinović, Luka Jurinović, Péter Szinai, Szandra Sütő, Bálint Preiszner. 2020: Geolocator study reveals east African migration route of Central European Common Terns. Avian Research, 11(1): 6. DOI: 10.1186/s40657-020-00191-z
The majority of European Common Terns (Sterna hirundo) migrate south along the western coast of Europe and Africa, while birds from eastern regions are known to cross the Mediterranean Sea from east to west or migrate along the eastern African coast. The migration route of north European terns wintering along the coast of western Africa was already described using geolocator data, while knowledge about movements of the European inland populations is based only on relatively scarce recoveries of ringed birds.
Methods
We used light-level geolocators in inland Common Tern colonies in Hungary and Croatia to study their migration route and to identify wintering areas along with stopover sites. Results revealed by geolocators were compared with recoveries of ringed birds.
Results
All tracked birds used the east African migration route with autumn stopovers at Lower Nile and in the southern part of the Red Sea, and short spring stopover in Israel. Terns wintered along Kenyan coasts and in the southern Mozambique Channel. Autumn migration lasted four times longer than spring migration.
Conclusions
This is the first geolocator study that describes the east African migration route of the Common Tern. Important stopover sites were identified. More studies of inland populations are needed to better elucidate tern winter movements.
Extra-pair paternity (EPP) has received great attention during recent decades, after Trivers (1972) argued that males should seek additional copulations, while females should choose males that could increase the genetic quality or the genetic constitution of offspring. Several hypotheses have been put forward to achieve a better understanding of the potential benefits of this behaviour. Empirical studies have found support for different benefits, although most attention has been given to the "good genes" hypothesis, predicting that females use male phenotypic cues to assess male genetic quality from which the offspring might benefit (Westneat et al. 1990; Birkhead and Møller 1992; Hasselquist et al. 1996; Griffith et al. 2002). Alternatively, "compatible genes" where the genes of an extra-pair male fit better with the genes of the female than those of the social partner may increase offspring fitness (Kempenaers et al. 1999; Tregenza and Wedell 2000; Griffith and Immer 2009). Females' benefits from EPP may also include fertility insurance (Birkhead and Møller 1992; Sheldon 1994; Schmoll and Kleven 2016) and access to resources (Wolf 1975; Gray 1997). However, these benefits have received less empirical support (Griffith et al. 2002). Social mates pay the main costs are loss of parental care (Birkhead et al. 1993; Suter et al. 2009), while costs of partner assessment (Petrie and Kempenaers 1998) and transmission of sexually transmitted diseases (Sheldon 1993) have also been suggested for males and females involved in EPP.
The Hamilton and Zuk hypothesis predict that females should choose mates with signals reliably reflecting resistance against parasites in the context of sexual selection (Hamilton and Zuk 1982; Møller 1990). Males expressing resistance to parasites may provide more parental care, as they suffer lower rates of parasites (Milinski and Bakker 1990), but also transmit resistance genes to offspring, which also benefit females (Hamilton and Zuk 1982). Regardless of the explanation, males revealing their resistance to potential female partners will more likely obtain extra-pair copulations. This was demonstrated for instance in the House Finch (Carpodacus mexicanus) in which carotenoid-based feather coloration was negatively correlated with the amount of feather-degrading bacteria (Shawkey et al. 2009), while poor male condition was related to the presence of other parasites (Thompson et al. 1997). Thus, males signalling his phenotypic quality including resistance to parasitism will more easily access to females including extra-pair females.
However, extra-pair copulations would also imply the transmission of microorganisms between males and females, which may have beneficial (Lombardo et al. 1999) or pathogenic effects. Costs of EPP associated to parasitism and/or antiparasitic defences are in case scarcely studied. As examples of parasites' transmission during copulation, Ring-necked Pheasants (Phasianus colchicus) are known to transmit ectoparasites from male to female during copulation (Hillgarth 1996). Thus, as mating with several partners will expose individuals to potential parasite transmission, this could affect both individuals and the outcome of the reproductive event. Any males with superior resistance should be better to avoid potential costs or simply be better adapted to reduce the consequences for the costs of extra-pair paternity. Since birds usually signal their antiparasitic capabilities throughout plumage brightness (Hamilton and Zuk 1982), related characters should also play a crucial role describing which males could gain multiple mating. Hence, understanding potential relationships between parasites and defence mechanisms should help understand the underlying mechanisms behind EPP (Westneat and Stewart 2003).
By definition, secondary sexual traits are important for gaining multiple mating, and these traits are often reflected in colour and brightness (Baker and Parker 1979), which, as mentioned before, usually reveals resistance of individuals to parasitic infection (Hamilton and Zuk 1982). Several secondary sexual traits, including feather coloration, are condition-dependent, hence indicating high-quality individuals (Andersson 1994). It is known for instance that more colourful individuals in the Greater Flamingo (Phoenicopterus roseus) had higher breeding success (Amat et al. 2011), and that plumage brightness was related to chick development in Blue Tits (Cyanistes caeruleus) (Senar et al. 2002), both results suggesting a direct link between feather coloration and important fitness components. Thus, any characteristics that prevented feather deterioration or enhance parasite resistance will be sexually selected and, consequently, should predict the strength of sexual selection. The uropygial gland is a good candidate trait, mainly because its main function is to protect feathers from degradation agents including microorganisms (Moreno-Rueda 2017; Azcárate-García et al. 2020) but also because its size or volume of secretion predicts selection pressures due to ectoparasites (Magallanes et al. 2016).
The objective of this study was to test the prediction relating EPP and the size of the uropygial gland among 60 bird species. The relationship between the size of the uropygial gland and bacterial diversity has been investigated several times (Møller et al. 2009; Jacob et al. 2014). Secretions from the uropygial gland have been demonstrated to act as antiparasitic defence in some species, although generally assumed for many species, especially against feather-degrading bacteria (Jacob and Ziswiler 1982; Møller et al. 2009; Ruiz-Rodríguez et al. 2009), which can affect interspecific interactions such as predation (Møller et al. 2010), but also sexually selected feathers (Ruiz-Rodríguez et al. 2015). Simultaneously, secretions from the uropygial gland have been shown to increase colour intensity (Amat et al. 2011) and affect plumage brightness (Moreno-Rueda 2010). However, the relationship between EPP and the uropygial gland remains poorly understood. Here we provide, to our knowledge, the first test of the hypothesis that the level of EPP is positively related to the size of the uropygial gland, which will suggest a direct link between uropygial gland and the strength of sexual selection.
Methods
Uropygial gland
Uropygial gland data from Jacob and Ziswiler (1982)
We extracted information on the size of the uropygial gland using Jacob and Ziswiler (1982) as a source. We assumed that a larger uropygial gland could produce more secretions than a smaller gland, which was demonstrated at an intraspecific level in Barn Swallows (Hirundo rustica) (Møller et al. 2009) and is discussed at the interspecific level by Soler et al. (2012).
Extra-pair paternity data
Estimates of species-specific extra-pair paternity rate were extracted from Griffith et al. (2002). Extra-pair paternity was defined as the proportion of offspring that was extra-pair offspring. In a second data set we used the proportion of broods that held extra-pair offspring. Data since 2002 were extracted from the Web of Science. In total, estimates of both EPP and uropygial gland size were available for 60 species (Additional file 1: Table S1).
Species characteristics are not statistically independent because they share their evolutionary history. We adjusted for this dependence using comparative analyses. We controlled for phylogenetic uncertainty, using phylogenetic relationships among species. This was done by using 100 phylogenetic ultrametric trees for all the species included in the analysis from https://birdtree.org/ (accessed April 2020). All models were fitted to the different trees by using Bayesian phylogenetic models from the MCMCglmm package (Hadfield 2010). The MCMC algorithm was set to 2, 000, 000 iterations, with a burn-in period of 100, 000 and a thinning interval of 1000. Geweke's convergence diagnostic was used for Markov chains, giving a z-score of the first 10% and last 50% of the means in the chain (Geweke 1992). The models use the frequency of EPP (proportion of broods with extra-pair paternity) as response variable, and log10-transformed uropygial gland size from Jacob and Ziswiler (1982), log10-transformed body mass from Dunning (2008) and sample sizes for EPP as explanatory continuous variables. Model 1 assumes Poisson distribution, while Model 2 assumes Gaussian distribution, and these models are further weighted for sample size to account for uneven sampling effort (Garamszegi and Møller 2010). Tests of the random effect of phylogeny for the 100 phylogenetic trees was performed and assessed as heritability (h2), a measure of phylogenetic signal ranging between zero and one (Hadfield 2010). For all the independent factors (log10-transformed uropygial gland size, log10-transformed body mass and sample sizes for EPP), the averaging estimates, lower and upper values of the confidence interval (95% CI), calculated as upper and lower 95% credibility interval values of the estimates of the 100 models, the 95% CI for the 100 models for pMCMC values, z-score of the Geweke's convergence diagnostic, effective sample sizes and autocorrelations are reported.
Results
Uropygial gland size and EPP
When corrected for phylogeny in comparative analyses, there was a significant positive relationship between level of EPP and size of the uropygial gland for both models (Fig. 1) and body mass, but not with sample sizes for EPP (Table 1). The size of the uropygial gland is from previous studies known to correlate positively with body size (Møller et al. 2010) and the amount of wax produced (Elder 1954; Møller et al. 2009; Pap et al. 2010). Hence, we assume that the size of the uropygial gland represents the relative amount of wax and, thus, larger amounts of the antiparasitic defence properties that can affect the integrity of feathers, hence give plumage in better condition (Azcárate-García et al. 2020) as well as their coloration and brightness (Amat et al. 2011; Moreno-Rueda 2017).
Figure
1.
Association between residuals of rate of extra pair paternity and volume of the uropygial gland of the 60 avian species considered in the study after controlling for the effect of body mass. Line is the regression line and size of circles are proportional to log10-transformed sample size used to estimate extra pair paternity in each species
Table
1.
Relationships with prevalence of extra-pair paternity (EPP) using comparative analysis
Model
Estimate
Lower 95% CI
Upper 95% CI
ESS lower 95% CI
ESS upper 95% CI
Autocorrelation lower 95% CI
Autocorrelation upper 95% CI
(z-score) Lower 95% CI
(z-score) Upper 95% CI
pMCMC (‒95%CI)
pMCMC (+95%CI)
Model 1
Uropygial gland size
1.260
0.101
2.473
1885.762
1938.241
‒0.006478
0.002344
‒0.05068
0.39434
0.030
0.034
Body mass
‒1.657
‒3.035
‒0.312
1892.864
1944.279
‒0.005594
0.002843
‒0.38670
0.08815
0.015
0.022
N EPP
3.382
2.668
4.115
1889.632
1948.191
‒0.002031
0.007548
‒0.35252
0.21599
0.000
0.000
Phylogeny (h2)
0.98753
0.02968
0.99831
Model 2
Uropygial gland size
0.182
0.049
0.316
1877.943
1931.508
‒0.00669
0.00251
‒0.19885
0.22043
0.009
0.014
Body mass
‒0.272
‒0.420
‒0.124
1893.361
1931.874
‒0.00625
0.00293
‒0.28063
0.13554
0.001
0.002
Phylogeny (h2)
0.57187
0.21314
0.84883
Summary of MCMCglmm models with frequency of EPP as the response variable and Log10-transformed uropygial gland size, Log10-transformed body mass and total number of nests per species sampled for EPP (N EPP) as explanatory continuous variables. The models assume Poison (Model 1) and Gaussian (Model 2) distributions and the random effect of phylogeny was tested for each of the 100 phylogenetic trees considered and assessed as heritability (h2). For each factor, we report the average of estimates, as well as the lower and upper values of the confidence interval (95% CI), which were calculated respectively on the lower and upper 95% credibility interval values of the estimates of the 100 models. We also report 95% CI of the 100 models (i.e., one for each of the phylogenetic trees considered) for pMCMC values, z-scores of the Geweke's convergence diagnostic, effective sample sizes (ESS), and autocorrelations. Values in italics are statistically significant (pMCMC < 0.05).
The main finding in this study is that the size of the uropygial gland is positively related to the level of EPP at the interspecific level. This is in line with the predictions regarding the role of secretions of the uropygial gland in both antimicrobial defence and plumage brightness (Moreno-Rueda 2017). The specific function of the uropygial gland on these two processes, however, remains unknown.
Previous studies have documented transmission of microorganisms from males to females through mating events (Hillgarth 1996; Westneat and Rambo 2000) and other social events (Brown et al. 2001). This mechanism is one of few, but still poorly understood costs of EPP. However, the related costs can be of crucial importance in order to maintain this behaviour (Westneat and Stewart 2003), and mechanisms to reduce the costs are expected. The size of the uropygial gland is positively related to the amount of secretions produced for a variety of species (Elder 1954; Møller et al. 2010; Pap et al. 2010) as the gland is made up of tubules where secretion of the substances occur (Jacob and Ziswiler 1982), and secretions are hypothesized to have antiparasitic substances (Moreno-Rueda 2017). Hence, selection for defence through uropygial gland secretions could be an important factor for fitness components such as reproductive success (Whittaker et al. 2013) and survival (Merino et al. 2000; Møller et al. 2010; Magallanes et al. 2017).
Both Møller et al. (2010) and Soler et al. (2012) documented a relationship between bacterial abundance and load with size of the uropygial gland, with the substances secreted by the gland hypothesised to act as antimicrobial defence. Here, we demonstrated that, when corrected for phylogeny, the level of EPP was positively related to uropygial gland size. Due to the potential transmission of bacteria through mating (Hillgarth 1996; Westneat and Rambo 2000), the relatively increased size of the uropygial gland, and hence amount of wax, could be an important defence mechanism to reduce this cost. Hence, we suggest that the increased size of the uropygial gland, and further the amount of wax, may have arisen as coevolutionary responses to reduce the associated costs of EPP.
Species with higher intraspecific levels of EPP often show more intense selection on secondary sexual traits, caused by greater variance in reproductive success (Yezerinac et al. 1995; Møller 1997; Whittingham and Dunn 2005). Furthermore, there is a negative relationship between secondary sexual ornaments and the loss of within-pair paternity (Møller and Ninni 1998). Several hypotheses have linked the intensity of secondary sexual traits to parasite resistance, such as the Hamilton-Zuk (1982) hypothesis. The size of the uropygial gland has been shown to correlate positively with secondary sexual traits (Moreno-Rueda 2010), plumage brightness (Møller and Mateos-González 2019) and colour intensity (Amat et al. 2011). Moreover, ornamental feathers are more easily degraded by bacteria (Ruiz-Rodríguez et al. 2015; Azcárate-García et al. 2020), and individuals with larger uropygial glands were those better protecting their ornamental feathers from degradation, which could result in more attractive plumage (Ruiz-Rodríguez et al. 2015). Hence, secretions from the uropygial gland can be an important factor promoting the acquisition of gain extra-pair copulations since several of these are likely to be condition-dependent (Andersson 1994).
In light of this finding, uropygial gland is likely influenced by sexual selection, but more research is needed in order to acquire a better understanding of the role of the uropygial gland in EPP. Studies using a representative measure of feather bacteria are needed to investigate the effect of uropygial gland secretions in relation to EPP. Furthermore, a similar interspecific investigation is needed regarding plumage brightness and coloration, although a positive relationship is found in species-specific studies (Galvan and Sanz 2006; Moreno-Rueda 2010; Amat et al. 2011). However, these two processes are not mutually exclusive, and they may act simultaneously as described here.
Conclusions
Here we demonstrate, to our knowledge, the first finding of a positive relationship between the size of the uropygial gland and the level of EPP. This, together with previous findings of the role of uropygial gland, suggest that the size of uropygial gland size could be selected for through exaggeration of secondary sexual traits and/or signalling antimicrobial defence mechanism. This provides important insight to the role of secretions by the uropygial gland on EPP. Future investigations should focus on the effect of uropygial gland secretions and explore the relationship between EPP and size of uropygial gland at an intraspecific level.
We would like to thank Camilla Marnor, Simen C. Karlsen, Mikael A. Sætre and Per H. Rishøi for discussion of the literature in early parts of the study. Jordi Moya help us to implement R' scripts to perform the analyses of the 100 phylogenetic trees considered at the same time.
Authors' contributions
APM conceived the idea. APM extracted the data. JJS made the comparative analyses. APM and JSS wrote the paper. All authors read and approved the final manuscript.
Availability of data and materials
The data on which this paper was made are fully available at the appendix of the manuscript.
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Table
1.
Relationships with prevalence of extra-pair paternity (EPP) using comparative analysis
Model
Estimate
Lower 95% CI
Upper 95% CI
ESS lower 95% CI
ESS upper 95% CI
Autocorrelation lower 95% CI
Autocorrelation upper 95% CI
(z-score) Lower 95% CI
(z-score) Upper 95% CI
pMCMC (‒95%CI)
pMCMC (+95%CI)
Model 1
Uropygial gland size
1.260
0.101
2.473
1885.762
1938.241
‒0.006478
0.002344
‒0.05068
0.39434
0.030
0.034
Body mass
‒1.657
‒3.035
‒0.312
1892.864
1944.279
‒0.005594
0.002843
‒0.38670
0.08815
0.015
0.022
N EPP
3.382
2.668
4.115
1889.632
1948.191
‒0.002031
0.007548
‒0.35252
0.21599
0.000
0.000
Phylogeny (h2)
0.98753
0.02968
0.99831
Model 2
Uropygial gland size
0.182
0.049
0.316
1877.943
1931.508
‒0.00669
0.00251
‒0.19885
0.22043
0.009
0.014
Body mass
‒0.272
‒0.420
‒0.124
1893.361
1931.874
‒0.00625
0.00293
‒0.28063
0.13554
0.001
0.002
Phylogeny (h2)
0.57187
0.21314
0.84883
Summary of MCMCglmm models with frequency of EPP as the response variable and Log10-transformed uropygial gland size, Log10-transformed body mass and total number of nests per species sampled for EPP (N EPP) as explanatory continuous variables. The models assume Poison (Model 1) and Gaussian (Model 2) distributions and the random effect of phylogeny was tested for each of the 100 phylogenetic trees considered and assessed as heritability (h2). For each factor, we report the average of estimates, as well as the lower and upper values of the confidence interval (95% CI), which were calculated respectively on the lower and upper 95% credibility interval values of the estimates of the 100 models. We also report 95% CI of the 100 models (i.e., one for each of the phylogenetic trees considered) for pMCMC values, z-scores of the Geweke's convergence diagnostic, effective sample sizes (ESS), and autocorrelations. Values in italics are statistically significant (pMCMC < 0.05).
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