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Malaria-Infected Female Collared Flycatchers (Ficedula albicollis) Do Not Pay the Cost of Late Breeding


Life-history theory predicts that the trade-off between parasite defense and other costly traits such as reproduction may be most evident when resources are scarce. The strength of selection that parasites inflict on their host may therefore vary across environmental conditions. Collared flycatchers (Ficedula albicollis) breeding on the Swedish island Öland experience a seasonal decline in their preferred food resource, which opens the possibility to test the strength of life-history trade-offs across environmental conditions. We used nested-PCR and quantitative-PCR protocols to investigate the association of Haemosporidia infection with reproductive performance of collared flycatcher females in relation to a seasonal change in the external environment. We show that despite no difference in mean onset of breeding, infected females produced relatively more of their fledglings late in the season. This pattern was also upheld when considering only the most common malaria lineage (hPHSIB1), however there was no apparent link between the reproductive output and the intensity of infection. Infected females produced heavier-than-average fledglings with higher-than-expected recruitment success late in the season. This reversal of the typical seasonal trend in reproductive output compensated them for lower fledging and recruitment rates compared to uninfected birds earlier in the season. Thus, despite different seasonal patterns of reproductive performance the overall number of recruits was the same for infected versus uninfected birds. A possible explanation for our results is that infected females breed in a different microhabitat where food availability is higher late in the season but also is the risk of infection. Thus, our results suggest that another trade-off than the one we aimed to test is more important for explaining variation in reproductive performance in this natural population: female flycatchers appear to face a trade-off between the risk of infection and reproductive success late in the season.


Disease causing micro-parasites can have large negative impacts on the population dynamics of wild plants and animals [1][3], via pathogen virulence [4] and/or the costs of resistance [5], [6]. Since hosts are faced with trade-offs between their investments in immune function and other traits, the negative fitness effects of parasite infection may become more evident under stressful conditions such as low food abundance [4], [7], [8] or during periods of high investment in reproduction [9], [10]. This is because life-history theory predicts that the direction and magnitude of evolutionary trade-offs (such as between immune function and reproduction) will depend on the general availability of resources in the environment, together with individuals' ability to acquire and allocate these resources between traits [11], [12]. For example Trypanosoma prevalence markedly increased in Tengmalm's owls (Aegolius funereus) during years when their primary prey, Microtus voles, were at low levels [7] and wound healing in tree lizards (Urosaurus ornatus) was compromised when food resources were restricted [13]. These findings are consistent with the idea that trade-offs between immune function and reproduction should be most evident when resources are limited. Thus, understanding how hosts allocate resources between immunity and reproduction across various environmental contexts may be crucial for predicting how particular pathogens influence the host population dynamics and for increasing our general understanding of host-parasite co-evolution.

Haemosporidians (i.e. Plasmodium, Haemoproteus and Leucocytozoon genera.) are common blood parasites in birds and are found in virtually every avian family [14]. Owing to their wide geographical and host distribution, documented negative health effects (e.g. anemia, lethargy, [15]) and available molecular protocols for detection, Haemosporidia parasites have become an excellent model system for examining evolutionary and ecological aspects of host-parasite associations [9], [16][20]. Although experimental studies have been crucial in detecting the existence of fitness costs of blood parasitemia [21][23], there is still much uncertainty as to the magnitude and nature of these costs, and how they may change under different natural conditions.

Because of their high philopatry and breeding-site fidelity, collared flycatchers (Ficedula albicollis) provide an unusually good study system for investigating the fitness costs of blood parasites. On the Swedish island of Öland it is possible to accurately estimate not only reproductive performance of collared flycatchers, but also recruitment of offspring to the breeding population. Optimizing the date of egg laying so that the nestlings are brought up under optimal feeding conditions is crucial for maximizing reproductive success in birds [24]. Collared flycatchers experience a steep decline in reproductive success during the breeding season [25] that follows the seasonal decline in the abundance of their preferred food [26]. Therefore late breeding birds pay a fitness cost by failing to match their reproduction to the peak in primary prey (i.e. caterpillar) abundance. Because trade-offs between immune function and reproduction are expected to be greatest when resources are limited, we expect infected birds to show a steeper decline in reproductive performance as the breeding season progresses.

We used a nested PCR-protocol and sequencing to identify malaria infections and qPCR to measure infection intensity. We then investigated how infection with Haemosporidia parasites was linked with reproductive performance of female collared flycatchers in terms of clutch size, number of fledglings, fledgling condition and number of recruits relative to the timing of breeding. Our main aims were to answer the following questions: (i) do females infected with Haemosporidia parasites experience a steeper decline in reproductive success during the breeding season (i.e. when food resources become limited) as compared to uninfected females?; (ii) do infected females produce overall fewer fledglings and recruits and/or fledglings of lower quality?; and finally (iii) is there a higher reproductive cost of infection among birds with a higher intensity of infection?

Materials and Methods

Study system

Collared flycatchers colonized Öland, Sweden (57°10′N, 16°58′E) in the early 1960's, and their population has been intensively monitored since 2002 by regular inspection of over 2000 nest boxes in 21 woodlots across the island [27]. Males arrive at the breeding grounds in late April/early May and compete for natural nesting sites or nest boxes. Females usually arrive approximately a week after the males and select a breeding territory based on male and territory characteristics. Females usually lay only one clutch of 5–8 eggs per breeding season that they incubate for 13–16 days, with nestlings receiving biparental care until they fledge two weeks after hatching. Detailed records of breeding performance were recorded (see below) and all breeding birds were caught in the nest box in the middle of the egg-incubation period, then aged and sexed according to their plumage traits [28], ringed (if not banded before), measured, weighed (to nearest 0.1 g) and a small blood sample was taken for DNA and blood parasite analysis. Samples were collected on Öland between 2002 and 2010, except 2008 (for sample sizes see Table 1). Since the temporal pattern of food availability differs between deciduous and mixed forests, [26], we restricted our analysis to females breeding only in a deciduous (preferred) type of forest.

Table 1. Collared flycatcher females included in the study and their prevalence to Haemosporidia parasites.

Ethics statement

This study was approved by the Swedish Board of Agriculture (Jordbruksverket; Permit numbers: M95-01, M 46-04 and Dnr 27-07).

Recording reproductive variables

Nest boxes were inspected every third day during egg-laying to ensure accurate estimation of laying date and clutch size. Nestlings were measured, bled and individually ringed 7 days after hatching, and weighed and measured at 13 days of age. We estimated the number of fledglings as the number or nestlings present at 13 days, minus any dead fledglings found in the nest box post-fledging. Recruits are defined as offspring returning to the study area to breed in the subsequent years. We only consider female reproductive performance in this study, to avoid confounding effects in male fitness such as extra-pair copulations. Also, we excluded nests that were involved in any experimental manipulation [25], [29], [30]. These nests were randomly assigned to the experiments and they comprised only 16% of all clutches; therefore it is unlikely that their exclusion from the analysis affected our results.

Avian malaria diagnosis

To classify infection status of breeding females we analyzed 356 blood samples (Table 1), 43 of which were from birds sampled more than once in the course of the study. Blood was collected from the brachial vein of each bird and stored in 99% ethanol (at room temperature) or in SET buffer (refrigerated) until extraction. DNA was extracted using a standard Proteinase K/SDS essay [31]. To assess the quality of DNA, 4 µL of each extract was run on 1.5% agarose gel stained in GelGreen. The concentration was quantified by spectrophotometer (Biophotometer, Eppendorf). The samples were screened for malaria using a PCR assay that amplifies a partial segment of the cytochrome b (cyt b) gene in the parasite mitochondria, using the same primers and reagents as in [32]. Negative control samples (with deionized water, dH2O, instead of genomic DNA), as well as positive control samples (Haemoproteus pallidus DNA) were routinely used: one negative control for every 11 samples, one positive control for every 40 samples. To avoid contamination, different sections of the laboratory were used for pre- and post-PCR processing. To investigate blood parasite prevalence, 3 µL of PCR product was visualized on 2% agarose gels stained with GelGreen. Samples showing a 525 bp-sized band were interpreted as a presence of parasitic DNA and were then prepared for sequencing using FastAP™ (Fermentas). Purified DNA fragments were sent to Macrogen Inc., Seoul, Korea, for sequencing. The resulting sequences were aligned and compared with the MalAvi database [33] using the BioEdit© software. Information about morphospecies of respective malaria lineages was obtained from the MalAvi database [33].

Infection intensity analysis – quantitative PCR protocol

We quantified Haemoproteus infection in 112 samples (out of 133, 84% of all Haemoproteus-infected samples). Extracted DNA was diluted to a concentration of approximately 1 ng/µl, which later served as template DNA. We carried out the real-time quantitative PCR for quantification of Haemoproteus infections, using genus-specific primers that amplify a portion of the cyt b gene without co-amplification of Plasmodium parasites (Supplementary Table S4). Also, to get an accurate estimation of host DNA concentration, a second reaction was performed that amplifies a single copy of conserved nuclear sequence in host DNA region [34]. Both protocols were almost identical regarding the reaction composition and thermal cycle profile and differed only in annealing temperature. Thus, each reaction of 25 µl contained 5 µl of DNA, 12.5 µl Platinum SYBR Green qPCR SuperMix-UDG (Life Technologies™), 10 pmol of each primer, 0.1 µl ROX dye and 5.4 µl ddH2O. The thermal reaction profile was as follows: after the initial incubation at 50°C for 2 mins, 42 cycle were run in 95°C for 15 secs, then in 56°C for Haemoproteus primers (and 57°C for host primers) for 30 secs and 72°C for 30 secs. All qPCR reactions were performed in Mx3000P real time PCR instrument (Stratagene). Each sample was run in duplicates and its value was calculated from the mean. In parasitemia quantification, after a preliminary analysis, we chose the sample with the highest parasitemia (hPHSIB1 lineage, Haemoproteus majoris morphospecies) and made a series of five steps −5× dilutions. We run these −5× dilution series as a standard along with our samples to estimate the relative parasitemia. For host DNA quantification, we produced standard curves by making five step −5× dilutions (using ddH2O) of flycatcher DNA, starting from the highest concentration of 5 ng/µl. The efficiency of qPCR reactions was high, ranging from 98.8–102.2% (standard curves with slopes between −3.35 and −3.27). The individual dissociation curves were inspected to verify specific amplification. Finally, we adjusted the relative parasitemia by the total content of host DNA in each reaction.

Statistical analysis

We used linear mixed (LMM) and generalized linear mixed models (GLMM) with Poisson error distribution to investigate the association between female infection status (i.e. infected with Haemosporidia or not) and the following estimates of reproductive performance; timing of breeding, clutch size, number of fledged offspring, number of recruited offspring, fledgling condition (average fledgling weight), and number of recruited offspring. Using the same methods we also investigated the association between infection intensity (i.e. Haemoproteus-infection intensity among the infected birds) and the same estimates of reproductive performance as listed above. Since the mean population breeding date differed between years due to changes in weather conditions, we used year-standardized lay date residuals (residuals from lay date by year ANOVA) in our statistical models. Age was included as a fixed factor in addition to infection status because older birds are known to breed earlier and to produce more fledglings and recruits [35]. Year and bird identity were included as random factors in all models and when investigating the link between female infection status and fledgling condition we also included nest identity to control for a common rearing environment. The data for fledgling weight was box-cox transformed (and divided by 1000 to keep the parameter values low; (fledgling weight)4/5/1000.) to meet the parametric assumptions. All Poisson models were checked for overdispersion by extracting the Pearson residuals and when needed, individual identity was included as a random effect to account for overdispersion.

To account for model uncertainty in model selection we used candidate model sets that included all combinations of the main effects and their interactions. The relative strength of support for each model was determined using AIC with a second-order correction for sample size (AICc) and the AICc model weight [36]. All models within 2 AICc of the highest-ranked model (i.e. ΔAICc<2) were model-averaged to calculate predictor estimates and standard errors using full-model averaging method [36], [37]. Also, based on these models we calculated the cumulative evidence (importance weights) and 95% confidence intervals for each predictor in order to identify factors with the highest predictive value. We highlight the model parameters where confidence intervals do not overlap with zero to show high support for the direction of an effect. All statistical analyses described here were conducted using R version 2.15.0 [38], with packages lme4 (model generation, (g)lmer function [39]) and MuMIn (model selection and model averaging [40]).


General seasonal pattern of reproductive performance

In agreement with previous findings, the reproductive performance of female collared flycatchers breeding in our study sites showed a significant decline with progressing breeding season in terms of clutch size (z1,1849 = −4.89, p<0.0001) and number of fledglings (z1,1624 = −8.82, p<0.0001) produced. Thus, later breeding females generally laid fewer eggs and produced fewer fledglings. Moreover, nestlings hatched late in the season had a lower chance of recruiting into the population in the following years (z1,1624 = −6.55, p<0.0001).

General pattern of Haemosporidia infection and lineage-specific prevalence

The prevalence of malaria infection in the collared flycatcher population was 47%, but there was significant variation between the eight study years (GLZ with binomial errors and logit link function, z1,354 = −2.888, p = 0.004, see Table 1). One-year-old birds were less often infected than older birds (z1,354 = 3.573, p<0.001, the proportion of yearlings was 0.34). Overall, there was no significant difference in the timing of breeding between infected and uninfected flycatcher females (t1,344 = 1.14, p>0.1). The most common lineage among infected females was hPHSIB1 (Haemoproteus majoris morphospecies) that accounted for 68% of all infections for which we had information about the lineage identity (Supplementary Table S1). As the second most common lineage (hCOLL2; Haemoproteus pallidus morphospecies) accounted for only 12% of the infections (Supplementary Table S1), we restricted our lineage-specific analysis of the association between infection and reproductive performance to birds infected with the most common malaria strain (hPHSIB1).

Infection status and seasonal variation in reproductive performance

Clutch size.

Female collared flycatchers produced smaller clutch sizes as the breeding season progressed but we found no evidence for a steeper decline in clutch size among the infected females (Table 2, Fig. 1).

Figure 1. Comparison of onset of breeding and clutch size in relation to breeding time between female collared flycatchers infected and uninfected with Haemosporidia parasites breeding on Swedish island of Öland.

In onset of breeding graph a), thick horizontal segments represent median, the bottom and the upper edges of the boxes show first and third quartiles, whiskers demonstrate minimum and maximum values. In clutch size graph b), the slopes represent predicted values derived from model-averaged estimates based on models within ΔAICc<2. Infected and uninfected females do not differ in their onset of breeding or in their seasonal decline in clutch size.

Table 2. Summary of GLMM reproductive success models for collared flycatcher females.

Number of fledglings and recruits.

Infected and uninfected females showed different seasonal patterns of reproductive performance in terms of the number of fledglings produced. Uninfected females experienced the typical seasonal decline in number of fledglings (slope lower 95%CI = −0.037, upper 95%CI = −0.009), whereas females with haemosporidian infections did not (Table 2; Fig. 2, the slope was not significantly different from zero: slope lower 95%CI = −0.019, upper 95%CI = 0.021). Infected females produced fewer fledglings when compared to uninfected females early in the season, but relatively more fledglings late in the season. This model with interaction between residual lay date and infection status had the lowest AIC value among candidate models; the interaction alone showed a moderate, but significant support (Supplementary Table S2c, but see Table 2). Because infected and uninfected females differed in the seasonal pattern of fledgling- but not egg-production, we investigated if those two groups of females also differed in proportion of reared fledged offspring per laid egg: it was done using logged values of clutch size as an offset variable with Poisson error structure. As judged from our models, (Table 2, Supplementary Table S2f) there was no such difference.

Figure 2. Comparison of the seasonal pattern of reproductive performance between female collared flycatchers infected with blood parasites (solid black line), uninfected females (solid grey line) and the mean for all analyzed females (dashed black line) breeding on the Swedish island of Öland.

It was plotted with model-averaged (ΔAICc<2) prediction lines using shrinkage estimates: a) number of fledglings, b) number of recruits, c) number of recruits per fledged offspring. Uninfected females show a typical seasonal decline in reproductive success where they rear more fledglings and recruits early in the season, whereas females infected with Haemosporidia parasites show an opposite pattern. As a result, uninfected females rear proportionally more recruits per fledgling early in the season. Infected females, however, experience a much shallower decline in recruits as the breeding season progresses, and thus recruit the same number of offspring. Despite altered pattern among infected females, the trend for the population remains negative.

Because post-fledging survival generally declines with later breeding dates, uninfected females maximized fledgling production when offspring are more likely to survive in the consecutive year (i.e. early in the season). We therefore expected infected females to produce fewer recruits compared to uninfected females. However, there was no apparent difference in number of recruits between infected and uninfected females (GLMM with Poisson error distribution and year and bird identity as random factors; Tables 2&3). To investigate whether infected females simply produced more fledglings to account for achieving the same number of recruits, or had higher survival prospects per number of fledglings produced, we tested whether the two groups of females differed in their ratio of the recruits per fledged offspring (rec/fledge ratio). Such an estimate gives an indication of the relative reproductive investment and parental effort put into producing the same number of recruits. There was no overall difference in the ratio of recruits per fledged offspring between infected and uninfected females (Table 3), because infected females produced more recruits per fledged offspring later in the season (Table 2, Fig. 2c). Thus, contrary to expectations, infected females produced the same number of fledglings as uninfected females, with a similar survival probability despite being reared later in the season, i.e. when resources are expected to be scarce.

Table 3. Mixed Model (Residual lay date) and Generalized Linear Mixed Model estimates with 95% confidence intervals (breeding year and bird identity as random factors).

Infection status and fledgling condition

Because infected females produced fledglings with good survival prospects, despite them being mostly reared late in the season, we investigated whether there were any differences in average body weight when 13 days old: a factor known to influence fledgling survival. Interestingly, infected females reared heavier fledglings than uninfected females (Table 2) but there was no support for an interaction between infection status and residual lay date (Table 2; Fig. 3).

Figure 3. Comparison of fledgling weight of Haemosporidia-infected and uninfected collared flycatcher females.

Fledglings of infected females are on average heavier than offspring of uninfected females. The plot dots show means for respective groups of females, error bars indicate 1 standard error from the mean.

Intensity of Haemoproteus infections in relation to reproductive output and fledgling condition

We performed similar analyses of reproductive success and fledgling quality in relation to infection intensity of females infected with Haemoproteus parasites. Parasitemia did not differ across the breeding season (GLMM, t1,128 = −0.54, p>0.1). Moreover, none of the models supported a role of intensity of infection in any aspect of reproductive performance, in most cases including a null model within ΔAICc<2 (Supplementary Table S5).

Haemoproteus majoris (hPHSIB1) infections in relation to reproductive output and fledgling condition

We repeated our analysis of reproductive success and fledgling quality with regard to females infected only with the most common malaria lineage (hPHSIB1) compared to those free from infections. These results essentially mirrored our previous findings, with infected females showing a different seasonal pattern of reproductive success to uninfected females: i.e. a relatively higher production of fledged and recruited offspring later in the season and rearing on average heavier fledglings (Table 4, Supplementary Table S3). However, we did not find substantial differences in average fledging weight between the offspring reared by hPHSIB1-infected and uninfected females (Table 4).

Table 4. Summary of GLMM reproductive success models for collared flycatcher females either infected with hPHSIB1 lineage or uninfected.


Female collared flycatchers infected by Haemosporidia parasites began breeding at a similar time as uninfected females, but showed a different seasonal pattern of reproductive performance: early in the season (i.e. when resources are expected to be most abundant) infected females produced fewer fledglings than uninfected individuals, with this pattern reversing late in the season (Fig. 2). We found similar results when we narrowed the analysis to the most common blood parasite lineage (hPHSIB1). Interestingly, infected females reared heavier 13-day old nestlings than uninfected individuals. The estimated intensity of Haemoproteus-infection did not, however, explain any aspect of reproductive success in this flycatcher population.

Uninfected females showed a typical seasonal decline in reproductive performance (Fig. 2), which is thought to be related to seasonal changes in caterpillar availability within deciduous forest [26], [41]. In such habitats, caterpillar abundance shows an early and narrow peak [26] and early-reared nestlings have more time to develop before the autumn migration. Consequently, early breeders generally produce twice as many recruits compared to late breeding pairs [42], although the temporal pattern of both food abundance and reproductive success can differ between years due to weather conditions [43]. As chronic malaria infections are expected to have negative effects on multiple breeding stages, e.g. hatching success, provisioning rate and fledgling success [21][23], we expected that infected females should experience a steeper decline in reproductive performance as compared to uninfected females. In contrast to this expectation we found that infected females did not show a seasonal decline in reproductive performance measured in terms of number of recruited offspring. In fact, late in the season, during potentially more demanding conditions, infected females had even higher breeding success than uninfected females. There are at least two possible explanations to these findings: first, parasitized females may perform a terminal investment in current reproduction; and/or second, they may breed in microhabitats with a different seasonal food distribution.

According to life-history theory, infected females may invest more in current breeding if they are less likely to survive and reproduce in the future, performing a so-called terminal investment [35], [44]. Late-breeding females may compensate for poorer prospects of future breeding by increased investment in reproduction and parental care. Early in the season, when fledged offspring have a higher likelihood of survival and food resources are abundant, all females should make significant investments in current reproduction. In contrast, late in the season, when the prospect of producing recruits is much lower, uninfected individuals may reduce their current investment in reproduction (and start preparing for their own migration) while infected females with lower survival prospects may continue to invest in current reproduction. If so, the pattern early in the season would reflect variation in resource acquisition among individuals (i.e. uninfected individuals do best because they are in better shape and can bring more food) and the pattern late in the season would reflect variation in allocation (infected individuals do best because they allocate more resources to current reproduction and work harder). However, infected females do not have a lower survival than their uninfected counterparts in our population [45], so they do not have lower prospects of future breeding, which rejects the core assumption of the terminal investment hypothesis.

Another possible explanation for this pattern is that infected females may breed in a different microhabitat where the food distribution is more stable across the season, but where also the risk of infection is higher. Usually the forests with more coniferous trees show a different temporal distribution of food with a lower, slightly later and more stable caterpillar abundance throughout the season [26], but we excluded females breeding in mixed forests from our analysis. However, the microhabitat varies within study plots (e.g. by type of water source in the area and temperature), suggesting that both food availability and vector abundance - and thus risk of infection - are linked to these microhabitat variables [46]. It is also possible that the vectors themselves serve as an alternative food resource that is more evenly distributed across the breeding season.

Studies of resident blue tits have found striking differences in spatial and temporal distribution of malaria infections over as short distance as one kilometer [47], [48]. Although this structure results from a complex interaction between multiple biogeographical factors (e.g. local landscape features, host state, parasite genotype, etc.), the distance from a big body of water (The River Thames) well predicted the risk of infection [47]. Interestingly, preliminary analyses performed on collared flycatchers from Öland indicate a link between the risk of malaria infection and the distance from the water source (Kulma et al., unpublished data). However, we need more detailed epidemiological studies to better understand factors driving the unexpected pattern of reproductive performance of infected birds in our population.

The major challenge for studies on life-history evolution in natural populations is not to establish the existence of particular trade-offs, but rather which of their possible combinations occur and are strongest [49]. We did not find any support for a major role of the trade-off we initially aimed to investigate (i.e. between infection status and reproductive performance) in explaining variation in the temporal pattern of reproductive performance in collared flycatchers. Instead, our results suggest that late breeding birds face a trade-off between minimizing the risk of infection and reproductive performance.


We found that infected and uninfected female collared flycatchers did not differ in their mean onset of breeding but they nevertheless showed a different seasonal pattern of reproductive performance. In contrast to our prediction, infected females did not show a steeper seasonal decline in reproductive performance as compared to uninfected females. Instead, infected females produced a larger proportion of their fledglings late in the season when post-fledging survival is usually lower, but they did not produce fewer fledglings or recruits compared to uninfected females. Moreover, their fledglings were on average heavier than fledglings of uninfected mothers, despite being reared later in the breeding season. Thus, female collared flycatchers with haemosporidian infections show a non-typical seasonal pattern of reproductive performance, suggesting that they breed in territories where the seasonal food distribution is different and not declining across the season.

Supporting Information

Table S1.

Diversity of avian malaria lineages in collared flycatcher females from Öland. Prevalence was obtained by dividing a number of specific lineage infections by the number of all identified infections. The lineages marked as “Unknown” are probably transmitted in Africa, as they have been found in tropical migrants in Europe but only in adults.


Table S2.

Reproductive success model selection tables for all individuals.


Table S3.

Reproductive success model selection tables for individuals infected with hPHSIB1 lineage or uninfected females.


Table S4.

Primer sequences used for real-time qPCR. Genus-specific primers amplify a fragment of parasite's cytochrome b gene; host primers amplify an ultra-conserved of the host nuclear DNA.


Table S5.

Reproductive success and infection intensity model selection tables for a subset (see Materials and Methods section for details) individuals infected with hPHSIB1 lineage or uninfected females.



We thank all the Qvarnström lab members and field assistants that help with data collection. Also, we thank anonymous reviewers for their comments that substantially improved the manuscript.

Author Contributions

Conceived and designed the experiments: KK AQ. Performed the experiments: KK. Analyzed the data: KK ML. Contributed reagents/materials/analysis tools: AQ SB. Wrote the paper: KK ML SB AQ. Sample analysis: KK SB.


  1. 1. Dobson A, Crawley M (1994) Pathogens and the structure of plant communities. Trends in Ecology & Evolution 9: 393–398.
  2. 2. Coltman DW, Pilkington JG, Smith JA, Pemberton JM (1999) Parasite-mediated selection against inbred Soay sheep in a free-living, island population. Evolution; international journal of organic evolution 53: 1259–1267.
  3. 3. Albon SD, Stien A, Irvine RJ, Langvatn R, Ropstad E, et al. (2002) The role of parasites in the dynamics of a reindeer population. Proceedings of the Royal Society B-Biological Sciences 269: 1625–1632.
  4. 4. Ebert D, Hamilton WD (1996) Sex against virulence: the coevolution of parasitic diseases. Trends in Ecology & Evolution 11: 79–82.
  5. 5. Bonneaud C, Mazuc Jrm, Gonzalez G, Haussy C, Chastel O, et al. (2003) Assessing the Cost of Mounting an Immune Response. The American Naturalist 161: 367–379.
  6. 6. Schmid-Hempel P (2012) Evolutionary Parasitology:The Integrated Study of Infections, Immunology, Ecology, and Genetics: The Integrated Study of Infections, Immunology, Ecology, and Genetics. Oxford: Oxford University Press.
  7. 7. Ilmonen P, Hakkarainen H, Koivunen V, Korpimäki E, Mullie A, et al. (1999) Parental Effort and Blood Parasitism in Tengmalm's Owl: Effects of Natural and Experimental Variation in Food Abundance. Oikos 86: 79–86.
  8. 8. Thomas DW, Shipley B, Blondel J, Perret P, Simon A, et al. (2007) Common paths link food abundance and ectoparasite loads to physiological performance and recruitment in nestling blue tits. Functional Ecology 21: 947–955.
  9. 9. Gustafsson L, Nordling D, Andersson MS, Sheldon BC, Qvarnström A (1994) Infectious diseases, reproductive effort and the cost of reproduction in birds. Proceedings of The Royal Society of London Series B-Biology Sciences 346: 323–331.
  10. 10. Råberg L, Nilsson JA, Ilmonen P, Stjernman M, Hasselquist D (2000) The cost of an immune response: vaccination reduces parental effort. Ecology Letters 3: 382–386.
  11. 11. Messina FJ, Slade AF (1999) Expression of a life-history trade-off in a seed beetle depends on environmental context. Physiological Entomology 24: 358–363.
  12. 12. Messina FJ, Fry JD (2003) Environment-dependent reversal of a life history trade-off in the seed beetle Callosobruchus maculatus. Journal of Evolutionary Biology 16: 501–509.
  13. 13. French SS, DeNardo DF, Moore MC (2007) Trade-Offs between the Reproductive and Immune Systems: Facultative Responses to Resources or Obligate Responses to Reproduction? The American Naturalist 170: 79–89.
  14. 14. Valkiūnas G (2005) Avian Malaria Parasites and Other Haemosporidia. Florida, USA: CRC Press.
  15. 15. Atkinson CT, Thomas NJ, Hunter DB (2009) Parasitic Diseases of Wild Birds. Ames, IA, USA: Wiley-Blackwell Publishing.
  16. 16. Loye JE, Zuk M (1991) Bird-parasite Interactions: Ecology, Evolution, and Behaviour: Oxford University Press.
  17. 17. Bensch S, Stjernman M, Hasselquist D, Ostman O, Hansson B, et al. (2000) Host specificity in avian blood parasites: a study of Plasmodium and Haemoproteus mitochondrial DNA amplified from birds. Proceedings of The Royal Society of London Series B-Biology Sciences 267: 1583–1589.
  18. 18. Palinauskas V, Valkiūnas G, Bolshakov CV, Bensch S (2008) Plasmodium relictum (lineage P-SGS1): Effects on experimentally infected passerine birds. Experimental Parasitology 120: 372–380.
  19. 19. Knowles SCL, Nakagawa S, Sheldon BC (2009) Elevated reproductive effort increases blood parasitaemia and decreases immune function in birds: a meta-regression approach. Functional Ecology 23: 405–415.
  20. 20. Marzal A (2012) Recent Advances in Studies on Avian Malaria Parasites. In: Okwa OO, editor. Malaria Parasites InTech. pp. 350.
  21. 21. Merino S, Moreno J, Sanz JJ, Arriero E (2000) Are avian blood parasites pathogenic in the wild? A medication experiment in blue tits (Parus caeruleus). Proceedings of the Royal Society B-Biological Sciences 267: 2507–2510.
  22. 22. Marzal A, de Lope F, Navarro C, Møller AP (2005) Malarial parasites decrease reproductive success: an experimental study in a passerine bird. Oecologia 142: 541–545.
  23. 23. Knowles SCL, Palinauskas V, Sheldon BC (2010) Chronic malaria infections increase family inequalities and reduce parental fitness: experimental evidence from a wild bird population. Journal of Evolutionary Biology 23: 557–569.
  24. 24. Perrins CM (1970) The Timing of Birds' Breeding Season Ibis 112: 242–255.
  25. 25. Qvarnström A, Svedin N, Wiley C, Veen T, Gustafsson L (2005) Cross-fostering reveals seasonal changes in the relative fitness of two competing species of flycatchers. Biology Letters 1: 68–71.
  26. 26. Veen T, Sheldon B, Weissing F, Visser M, Qvarnström A, et al. (2010) Temporal differences in food abundance promote coexistence between two congeneric passerines. Oecologia 162: 873–884.
  27. 27. Qvarnström A, Rice AM, Ellegren H (2010) Speciation in Ficedula flycatchers. Philosophical Transactions of the Royal Society B: Biological Sciences 365: 1841–1852.
  28. 28. Mullarney K, Svensson L, Zetterström D, Grant PJ (2000) Birds of Europe. New Jersey, USA: Princeton Books.
  29. 29. Qvarnström A, Wiley C, Svedin N, Vallin N (2009) Life-history divergence facilitates regional coexistence of competing Ficedula flycatchers. Ecology 90: 1948–1957.
  30. 30. Rice AM, Vallin N, Kulma K, Arntsen H, Husby A, et al. (2013) Optimizing the trade-off between offspring number and quality in unpredictable environments: Testing the role of differential androgen transfer to collared flycatcher eggs. Hormones and Behavior 63: 813–822.
  31. 31. Sambrook J, Fritsch EF, Maniatis T (1989) Molecular cloning: a laboratory manual: Cold Spring Harbor Laboratory.
  32. 32. Waldenström J, Bensch S, Hasselquist D, Ostman O (2004) A new nested polymerase chain reaction method very efficient in detecting Plasmodium and Haemoproteus infections from avian blood. Journal of Parasitology 90: 191–194.
  33. 33. Bensch S, Hellgren O, Pérez-Tris J (2009) MalAvi: a public database of malaria parasites and related haemosporidians in avian hosts based on mitochondrial cytochrome b lineages. Molecular Ecology Resources 9: 1353–1358.
  34. 34. Asghar M, Hasselquist D, Bensch S (2011) Are chronic avian haemosporidian infections costly in wild birds? Journal of Avian Biology 42: 530–537.
  35. 35. Pärt T, Gustafsson L, Moreno J (1992) “Terminal Investment” and a Sexual Conflict in the Collared Flycatcher (Ficedula albicollis). The American Naturalist 140: 868–882.
  36. 36. Burnham KP, Anderson DR (2002) Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach. New York: Springer.
  37. 37. Symonds M, Moussalli A (2011) A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion. Behavioral Ecology and Sociobiology 65: 13–21.
  38. 38. R Development Core Team (2012) R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria.
  39. 39. Bates D, Maechler M, Bolker B (2011) lme4: Linear mixed-effects models using S4 classes. R package version 0.999375-42 ed.
  40. 40. Bartoń K (2012) MuMIn: Multi-model inference,. R package version 1.7.7 ed.
  41. 41. Siikamaki P (1998) Limitation of reproductive success by food availability and breeding time in pied flycatchers. Ecology 79: 1789–1796.
  42. 42. Lundberg A, Alatalo RV (1992) The Pied Flycatcher. San Diego: Poyser.
  43. 43. Christe P, de Lope F, González G, Saino N, Møller AP (2001) The influence of environmental conditions on immune responses, morphology and recapture probability of nestling house martins (Delichon urbica). Oecologia 126: 333–338.
  44. 44. Clutton-Brock TH (1984) Reproductive Effort and Terminal Investment in Iteroparous Animals. The American Naturalist 123: 212–229.
  45. 45. Kulma K, Low M, Bensch S, Qvarnström A (2013) Malaria infections reinforce competitive asymmetry between two Ficedula flycatchers in a recent contact zone. Molecular Ecology 22: 4591–4601.
  46. 46. Santiago-Alarcon D, Palinauskas V, Schaefer HM (2012) Diptera vectors of avian Haemosporidian parasites: untangling parasite life cycles and their taxonomy. Biological Reviews 87: 928–964.
  47. 47. Wood MJ, Cosgrove CL, Wilkin TA, Knowles SCL, Day KP, et al. (2007) Within-population variation in prevalence and lineage distribution of avian malaria in blue tits, Cyanistes caeruleus. Molecular Ecology 16: 3263–3273.
  48. 48. Knowles SCL, Wood MJ, Alves R, Wilkin TA, Bensch S, et al. (2011) Molecular epidemiology of malaria prevalence and parasitaemia in a wild bird population. Molecular Ecology 20: 1062–1076.
  49. 49. Stearns SC (1992) The Evolution of Life Histories. Oxford OUP Oxford.