Translator Disclaimer
1 March 2010 Variation in Haematological Indices and Immune Function During the Annual Cycle in the Great Tit Parus major
Author Affiliations +
Abstract

We investigated seasonal variation in haematological indices and immune function in the non-migratory Great Tit Parus major over a complete annual cycle. The haematocrit value showed a marked reduction in spring and summer, reaching a lowest value during moult, after which it increased to reach a maximum in winter and spring. The peak in the heterophil to lymphocyte ratio (H/L) during July indicated that Great Tits were the most stressed during the first half of the moulting period. The increase in heterophils and H/L ratio, concurrent with a reduced number of lymphocytes during the breeding season, probably reflected the cost of reproduction in terms of physiological stress and immune suppression. After breeding the number of heterophils and the H/L ratio decreased, reaching a lowest value during winter. The concentration of immunoglobulins followed the seasonal pattern in the number of heterophils, though highest values occurred somewhat later, in July–September during the second part of the moulting period, Our observations indicated large differences in activity throughout the year of different components of the immune system, This suggests differences in function among the components and possibly differences in susceptibility to stress, parasitism and hormones during the annual cycle. When juveniles became independent of their parents, the immunoglobulin concentration increased, whereas other immune measures did not show a significant change. This indicates a rapid increase of at least one component of the immune system after the young fledge.

Studies on birds and mammals indicate that seasonal variation in haematological variables and immune defence is the rule rather than an exception (Hasselquist et al. 1999, Nelson et al. 2002, Lozano & Lank 2003, Møller et al. 2003, Fair et al. 2007, Buehler et al. 2008a). However, results are contradictory (e.g. Nelson et al. 2002, Møller et al. 2003) for multiple reasons. First, the activity of the immune system is frequently assessed by measuring only one aspect, or by using only a restricted number of variables to assess different branches of the defence system (e.g. Gonzalez et al. 1999, Hasselquist et al. 1999, Christe et al. 2002, Lozano & Lank 2003, Martin et al. 2004; but see Roulin et al. 2007 and Buehler et al. 2008a as exceptions). Immune responses are extremely complex, reflecting the need to protect the host against a plethora of pathogens (Nelson et al. 2002). Moreover, trade-offs between different immune branches can arise (Ardia 2007), and an increase in one measure may evoke a reduction in another. Second, the sampling period may be too short or sampling is too infrequent to describe seasonal changes in the physiological condition and immune activity effectively (e.g. Hõrak et al. 1998a, Gonzalez et al. 1999, Hasselquist et al. 1999, Christe et al. 2002, Pap 2002, Owen-Ashley et al. 2006). In contrast, Buehler et al. (2008a) followed the change in concentration and activity of several immune indices of the Red Knot Calidris canutus, a long-distance migratory species, during the complete annual cycle. This sets a yardstick with which to compare birds with contrasting life histories. For example, sedentary and migratory species may differ in exposure to environmental stress, like parasitism, energetic expenditure, food supply and temperature, which may result in divergent selection on immune functions during the annual cycle.

Our main objective is to describe seasonal variation in haematological indices and immune function under field conditions in the Great Tit Parus major, one of Europe's most common non-migratory species. Understanding the seasonal variation in the haematological indices and immune function of temperate zone birds is important to make a comparison with species with different life histories (see Buehler et al. 2008a). Because of the sex-specific energetic, physiological and behavioural costs of maintaining an effective immune system (Sheldon & Verhulst 1996, Lochmiller & Deerenberg 2000), we expect a difference in immune functions between males and females during the annual cycle (Hasselquist 2007, Martin et al. 2008). We explore therefore sex effects in the activity of the immune system. In addition, we investigate the way individuals acquire a mature defence system during ontogeny, by recording the haematological variables and immune function of the same individuals throughout the nestling and independence period. We expect that due to the rapid development of Great Tit nestlings, immune measures promoting defence increase rapidly during independence (Buehler et al. 2009). We think our observations provide new insights in the development of the immune system in wild birds as most of our knowledge in this field comes from studies on birds in captivity and poultry (Ardia & Schat 2008).

METHODS

Study site, studied species and captures

We studied a local Great Tit population in the surroundings of the village Stana (46°89′N, 23°14′E, Transylvania, central Romania) between April 2004 and March 2006. The study site is situated in a 40 ha orchard of several species of old fruit trees. Pastures and arable fields surround the orchard. Great Tit has an annual cycle typical for most European non-migratory species. It starts breeding during the second part of April, and the nestlings fledge generally until the end of June. In 2004, Great Tits fledged between 22 May and 6 June, and in 2005 between 18 May and 17 June. After breeding, adult birds perform their annual complete post-breeding moult, which may last several months between June and September (Pap et al. 2007). Juveniles, which fledge between June and July, replace some of the remiges and all rectrices, and their body feathers and wing coverts during the moulting period. The temporal dynamics of the partial post-juvenile moult is similar to that of the adults. In September, birds start to form winter flocks, indicating the preparation for the winter (Cramp & Perrins 1993).

During the study period we regularly captured and ringed birds by using mist nets (Ecotone, Poland) which resulted in 455 captures, including 135 recaptures. Age and sex (when possible based on plumage characters) were scored following Svensson's (1992) criteria, where ‘juveniles’ are birds before their first complete post-breeding moult, and ‘adults’ are those after the moult. In this way, ‘juveniles’ include second-year birds, which are reproductively active without having completed moult yet. Sample sizes of the haematological and immune indices are variable, depending on the number of sampled birds. During the winter, we used sunflower as bait to increase the number of captured birds. The bait was provided several days before capturing and we stopped feeding after the capture session. In this way, we minimized the confounding effect of supplemental feeding on the physiology of the birds. At capture we ringed, aged and sexed the birds, and we measured tarsus length, wing length, and body mass.

In the winter of 2004, we mounted 180 nestboxes in the orchard to study the breeding biology of Great Tits. In 2004 and 2005, we followed 14 and 10 successful broods, respectively. We followed the nests by almost daily visits to determine date of clutch initiation, clutch size, hatching date, brood size, fledging date and number of fledglings. In order to study the change in the haematological indices and immune function during ontogeny, we measured the nestlings and took blood samples (as described below) at the age of 15 days, and subsequently after independence we recaptured as many fledglings as possible.

Haematological measures

We collected blood samples (within 20 min after capture to avoid stress-induced immunosuppression; see Buehler et al. 2008b) for analyses in a capillary tube (70 µl) from the brachial vein. A drop of blood was smeared on a slide, air-dried, fixed in absolute methanol, and stained with May—Grünwald and Giemsa. The haematocrit value was obtained by centrifugation of heparinized capillary tubes for 10 min at 10 000 RPM. After the haematocrit was determined, plasma was separated from blood cells and stored at -20°C until analysis. Smears were examined at 1000× magnification and the proportion of different types of leukocytes was assessed on the basis of examination of 100 leukocytes. The number of white blood cells was expressed per approximately 10 000 erythrocytes. We excluded monocytes, eosinophils and basophils from the analyses because of their low concentration (less than 10 cells/10 000 erythrocytes). The counts of the white blood cells were made by the same person, and these proved to be highly repeatable (see Pap 2002). Total leukocyte counts (WBC) and the composition of leukocytes are considered as indicators of the health status, parasitic infestation and stress (Ots et al. 1998). Leukocytosis (increase in the number of leukocytes) is most commonly attributed to infectious diseases (Fudge 1989). Heterophils are non-specific phagocytic immune cells, and as parts of the innate immune defence they play an important role during the initial stages of most infections. Increased level of heterophils is most common during inflammation, and it is a nonspecific response to foreign invasion or tissue damage. Lymphocytes are highly specific immune cells, and they are the main cell types in the adaptive immune response (i.e. B-cells and T-cells). Decreasing lymphocyte levels may indicate immunosuppression, while they proliferate during infections (Ots et al. 1998). The heterophil to lymphocyte ratio (H/L) is widely used as an indicator of stress (Davis et al. 2008), and the measure is known to increase under stressful conditions.

Due to an accident, the plasma collected in February 2006 was lost, which left samples of 11 months to analyze for immunoglobulins. Immunoglobulins, being part of the humoral immune system, play an important role in innate and acquired immune response (Roitt et al. 1996). Increase in immunoglobulin concentration in the peripheral blood is related to parasite infestations (de Lope et al. 1998, Ots & Hõrak 1998, Szép & Møller 1999). Total immunoglobulin includes circulating IgG molecules with a role in first-line defence against pathogens (Tizard 2004). We quantified the immunoglobulin concentration by spectrophotometry (Khokhlova et al. 2004). Concentrations as low as 24 mg/l of heavy metal salts precipitate the immunoglobulin, since the electric charge and colloidal stability of gamma globulins are lower than those of serum albumins at pH 7.4. We mixed 3.3 µl of plasma with 196.7 µl of 0.024% barbital buffer zinc sulphate solution and allowed immunoglobulins to precipitate for 30 min at room temperature (22–23°C). Immunoglobulin concentration expressed in optical density units (ODU) was read by spectrophotometer (λ = 475 nm, d = 0.5 cm) (Pap et al. 2008).

Statistical analyses

Data were analyzed by fitting linear mixed effect models with individual birds as random factor (the ‘lme’ function of the R interactive statistical environment; R Development Core Team 2005), thus controlling for the effect of pseudo-replication caused by the recaptures. Because the sex of juveniles was not determined, the effect of age, sex and the interaction was not tested simultaneously in the same model. Therefore, we first fitted a model with month and age as explanatory variables. In a next model, we analyzed the effect of sex of adult birds. Because of the low sample size of adult females in some months we pooled data into three seasons (breeding: March–June, moulting: July–October, wintering: November–February). In this analysis, the denominator degrees of freedom are different for season and sex because season is inner to individual, i.e. its value can change within individual (the random effect), while sex is outer to individual, i.e. it cannot change within individual (Pinheiro & Bates 2000, p. 91). Both month and age are inner to individual, so they have the same degrees of freedom. Data of immunoglobulins, heterophils, H/L ratio were log-transformed to fit the distributional assumptions of the linear models. The difference in immune measures between adult males and females and nestling was tested using one-way ANOVAs with planned comparison of least square means, and Tukey post-hoc tests for unequal sample size was used to test the difference between specific groups. We found no significant difference in morphological and physiological variables of the nestlings born in 2004 and 2005, and therefore the effect of year was omitted in the analyses about the immune function of nestlings and fledglings. Means are presented ±SD.

RESULTS

Seasonal variation in the haematological indices and immune function

Haematocrit value varied significantly over the annual cycle (Table 1, Fig. 1A), but was not affected by sex or age. Haematocrit decreased during the breeding season, and after reaching a lowest value during the moulting period in August it increased in autumn, reaching a highest value in winter and spring. The significant interaction between month and age indicates a difference between adults and juveniles in the pattern of haematocrit during the annual cycle. WBC, heterophils, lymphocytes, H/L ratio and immunoglobulin concentration were similar between age classes and sexes (Table 1), also indicated by the absence of significance in the month × sex and month × age interactions. WBC did not change significantly during the year (Table 1), while lymphocytes, heterophils and the H/L ratio showed a marked variation through the annual cycle (Table 1, Fig. 1B,C,D). The number of heterophils and H/L increased during the breeding and beginning of the moulting season, from April until July, reaching the highest value during the first half of the moulting season in July. During August to November, when Great Tits perform their annual moult and prepare for the winter, the number of heterophils and the H/L ratio decreased, reaching a lowest value during the winter. The number of lymphocytes showed an opposite pattern with lowest values during the end of breeding and beginning of moult in June. The immunoglobulin concentration showed significant seasonal variation (Table 1, Fig. 1E) with a marked increase throughout breeding and moulting, and reaching a highest value during the second part of the moulting period in September. Subsequently, immunoglobulin decreased during autumn, and reached a lowest value in winter.

Figure 1.

Haematocrit level (A), lymphocyte number (B), heterophil number (C), H/L ratio (D) and total immunoglobulin concentration (E) in the Great Tit during the annual cycle. Indicated are mean values ±SE. In case of haematocrit, open circles indicate juveniles and closed circles adults.

f01_105.eps

Changes during independence of juveniles

The haematocrit level of nestlings was significantly lower than in parents and the immunoglobulin concentration was significantly higher than in adult females (Table 2; planned comparison between adults and nestlings, haematocrit: F1,64 = 41.88, P < 0.0001, immunoglobulins: Tukey post-hoc test for unequal sample size between nestlings and adult females, P < 0.001). WBC, heterophils, lymphocytes and the H/L ratio were similar between parents and nestlings. During the 62 ± 47.3 days between the first measure as nestlings and the second measure as fledglings the immunoglobulin concentration increased significantly (Table 3). The haematocrit, WBC, heterophils, lymphocytes and H/L ratio did not change during this period. These results about the haematological indices and immune function during independence could not been confounded by fledging date, since none of the measures were related to fledging date (all P > 0.4), which discounts a possibility of confounding date effects.

Table 1.

Haematocrit level, WBC, heterophil and lymphocyte number, H/L ratio and total immunoglobulin concentration in the Great Tit in relation to month, age and sex of adult birds, by linear mixed effect models (see also Methods).

t01_105.gif

Table 2.

One-way ANOVAs comparing haematological and immunological parameters of adult Great Tits during the breeding period and their nestlings (15 days old). Given are means ±SD with sample sizes in parentheses.

t02_105.gif

Table 3.

Change in the haematological and immunological parameters between the nestling and fledgling stage of individual Great Tits (n = 12). Birds were recaptured 62 ± 47.3 days after initial measurements. Paired sample t-test, the values are means ±SD.

t03_105.gif

DISCUSSION

We showed that haematological indices and immune function fluctuate during the annual cycle of the non-migratory Great Tit with large variation in pattern among the measures. This variation probably reflects different functions and susceptibility to stress, parasitism, energy supply or hormones. Some of the changes, as the increased heterophil and immunoglobulins concentration during summer, correspond to what has been called the ‘breeding season — high exposure’ hypothesis (Hasselquist 2007), i.e. an enhancement of the immune activity during spring and breeding as a result of the adaptive response of the immune system to the seasonally emerging parasites' attacks. On the other hand, the opposite pattern of lymphocytes with high numbers in winter is in favour of the hypothesis of a hormonal and energetical incompatibility of the immune function with reproduction (Hasselquist 2007, Martin et al. 2008). Careful experiments about the susceptibility and function of different branches of the immune system would clarify the mechanism responsible for the seasonality of the immune indices that we observed. Our results of differential seasonal patterns among immune functions correspond to the conclusion by Buehler et al. (2008a) who arrived at the same conclusion based on observations in the long-distance migratory Red Knot. There is a striking similarity in the pattern of heterophils and lymphocytes between Great Tit and Red Knot, suggesting that some common factors are responsible for mediating the variation of these immune indices in migratory and sedentary birds.

Haematocrit is an indicator of the oxygen carrying capacity of the blood, and increases as a response to elevated metabolic activity. The marked increase during the autumn and winter might be explained by the preparation of birds to the cold winter by enhancing the oxygen carrying capacity of the blood, the increased locomotor activity of the birds as the moulting season ends, and dehydration (Fair et al. 2007). The observed decrease of haematocrit during breeding with a low during moulting is in accordance with the general pattern in birds (Fair et al. 2007), and can be explained by the reduced oxygen need of the organism due to increased ambient temperature (Fair et al. 2007).

Our observation of an increase in the H/L ratio during the breeding and early moulting period is consistent with previous studies (Gustafsson et al. 1994, Christe et al. 2002, Pap 2002; but see Hõrak et al. 1998a). The shift is the result of an increase in the number of heterophils and a concomitant decrease in the number of lymphocytes (see also Hõrak et al. 1998a) as the breeding season progresses. This increase in the H/L ratio may stem from stressful parental activity during breeding (Hõ;rak et al. 1998b, Unionen et al. 2003). Likewise, the increase in the number of heterophils, and H/L ratio, during breeding can be related to the increase in the number of micro- and macroparasites (e.g. Fudge 1989, Ots et al. 1998) as the level of infestation generally increases with a progressing breeding season (e.g. Christe et al. 2002, Cosgrove et al. 2008).

The drop in number of heterophils and the H/L ratio during moulting up to a low in autumn and winter might be related to a relaxation of energetic stress, a suppression or downregulation of the immune system due to the energetically challenging low temperature (Demas & Nelson 1996, Råberg et al. 1998, Svensson et al. 1998), or to the absence of parasites during winter (Cosgrove et al. 2008). Another interesting pattern in the seasonality of leukocytes is that during summer the number of lymphocytes is low while the heterophils and the concentration of immunoglobulins is raised, followed by an opposite change in the number and concentration of these measures in the subsequent period. This finding may indicate a trade-off between different immune branches suggesting that when one part of the immune system is challenged the other part is down-regulated. Such a trade-off was found in Tree Swallows Tachycineta bicolor (Ardia 2007). Individuals that mounted a strong response against phytohaemagglutinin, which stimulates the cellular and innate component of the immune system, had reduced humoral antibody response against sheep red blood cells.

The observed increase in immunoglobulin concentration during breeding is in accordance with previous studies on birds (e.g. Gustafsson et al. 1994, Christe et al. 2002), but it contradicts the decrease in immunoglobulin concentration between pre-laying and nesting in another Great Tit population (Hõrak et al. 1998a). Contrary to trends in the number of heterophils and H/L ratio, immunoglobulins concentration continued to increase until the end of the moulting season in September, after which it dropped to a low during winter. This drop might have a similar basis as the drop in heterophils and H/L ratio in winter as discussed above.

Finally, we found that within a short period of time nestlings acquired a haematological profile and immune function that was close to that of their parents. The number of different leukocytes was similar in nestlings and their parents, while immunoglobin concentration increased following fledging, reaching the concentration of adults characteristic to this period. Buehler et al. (2009) observed similar changes with age in natural antibodies in the Red Knot, suggesting the generality of a rapid ontogeny of the immune system following fledging in birds.

To summarize, we found that (1) components of the immune system exhibit different patterns during the annual cycle, (2) the immune components measured are similar between the sexes, and (3) juveniles obtain an immune profile similar to adults, seemingly reflecting a rapid ontogeny of the immune system. Because the primary function of the immune system is defence, a next step in immunoecological studies should be to determine the role of different components of immunity in protection against specific parasite challenges (Adamo 2004) in order to understand more profoundly the annual cycle of a given immune variable. Further, the cause and consequence of variation of haematological condition and immune function remains to be tested experimentally. Our results about the seasonality of haematological and immunological indices may serve as a framework for further research studying the mechanisms responsible for the variation in physiological condition in birds.

ACKNOWLEDGEMENTS

We are grateful to Miklós Bán, Réka Kiss, István Kovács, Eszter Ruprecht, Marina Spinu, Zsuzsanna Takács, and Tivadar Vinkler who assisted in data collection and in the analysis of blood samples. This work was financially supported by a Marie Curie European Reintegration Grant (contract no. 005065) to ZB, OTKA Grants (T046661, NF061143), and by the Hungarian and Romanian Government, grant TéT (RO-32/05). PLP was supported by an OTKA grant (NF 61143) to ZB and by a research grant (CEEX ET 94/2006) of the Romanian Ministry of Education and Research, JT was aided by an István Apáthy Association student research grant, CIV was supported by a PhD scholarship from the Hungarian Ministry of Education and Culture, and GÁC was sponsored by a research grant (CNCSIS Td 368/2006) of the Romanian Ministry of Education and Research. Field measurements comply with the current Romanian laws. Two anonymous referees kindly provided constructive criticism.

REFERENCES

1.

S.A. Adamo 2004. How should behavioural ecologists interpret measurements of immunity? Anim. Behav. 68: 1443–1449. Google Scholar

2.

D.R. Ardia 2007. The ability to mount multiple immune responses simultaneously varies across the range of the tree swallow. Ecography 30: 23–30. Google Scholar

3.

D.R. Ardia & K.A. Schat 2008. Ecoimmunology. In: F. Davison , B. Kaspers & K.A. Schat (eds) Avian Immunology. Academic Press, London, UK, pp. 421–441. Google Scholar

4.

D.M. Buehler , T Piersma , K. Matson & B.I. Tieleman 2008a. Seasonal redistribution of immune function in a migrant shorebird: annual cycle effects override adjustments to thermal regime. Am. Nat. 172: 783–796. Google Scholar

5.

D.M. Buehler , N. Bhola , D. Barjaktarov , W. Goymann , I. Schwabl , B.I. Tieleman & T. Piersma 2008b. Constitutive immune function responds more slowly to handling stress than corticosterone in a shorebird. Physiol. Biochem. Zool. 81: 673–681. Google Scholar

6.

D.M. Buehler , B.I. Tieleman & T. Piersma 2009. Age and environment affect constitutive immune function in Red Knots (Calidris canutus). J. Ornithol. 150: 815–825. Google Scholar

7.

P. Christe , A.P. Møller , G. González & F. de Lope 2002. Intraseasonal variation in immune defence, body mass and hematocrit in adult house martins Delichon urbica. J. Avian Biol. 33: 321–325. Google Scholar

8.

C.L. Cosgrove , M.J. Wood , K.P. Day & B.C. Sheldon 2008. Seasonal variation in Plasmodium prevalence in a population of blue tits Cyanistes caeruleus. J. Anim. Ecol. 77: 540–548. Google Scholar

9.

S. Cramp & C. Perrins 1993. The birds of the Western Palearctic, vol 7. Oxford University Press, Oxford. Google Scholar

10.

A.K. Davis , D.L. Maney & J.C. Maerz 2008. The use of leukocyte profiles to measure stress in vertebrates: a review for ecologists. Fund. Ecol. 22: 760–772. Google Scholar

11.

F. de Lope , A.P. Mailer & C. de la Cruz 1998. Parasitism, immune response and reproductive success in the house martin Delichon urbica. Oecologia 114: 188–193. Google Scholar

12.

G.E. Demas & R.J. Nelson 1996. Photoperiod and temperature interact to affect immune parameters in adult deer mice (Peromyscus maniculatus). J. Biol. Rhythms 11: 94–102. Google Scholar

13.

J. Fair , S. Whitaker & B. Pearson 2007. Sources of variation in haematocrit in birds. Ibis 149: 535–552. Google Scholar

14.

A.M. Fudge 1989. Avian hematology: identification and interpretation. Proc. Assoc. Avian. Vet. Ann. Meet., pp. 284–292. Google Scholar

15.

G. Gonzalez , G. Sorci & F. de Lope 1999. Seasonal variation in the relationship between cellular immune response and badge size in male house sparrows (Passer domesticus). Behav. Ecol. Sociobiol. 46: 117–122. Google Scholar

16.

L. Gustafsson , D. Nordling , M.S. Andersson , B.C. Sheldon & A. Qvarnström 1994. Infectious diseases, reproductive effort and the cost of reproduction in birds. Phil. Trans. R. Soc. Lond. B 346: 323–331. Google Scholar

17.

D. Hasselquist , J.A. Marsh , P.W. Sherman & J.C. Wingfield 1999. Is avian humoral immunocompetence suppressed by testosterone? Behav. Ecol. Sociobiol. 45: 167–175. Google Scholar

18.

D. Hasselquist 2007. Comparative immunoecology in birds: hypotheses and tests. J. Ornithol. 148: 571–582. Google Scholar

19.

P. Hõrak , S. Jenni-Eiermann , I. Ots & L. Tegelmann 1998a. Health and reproduction: the sex-specific clinical profile of great tits (Parus major) in relation to breeding. Can. J. Zool. 76: 2235–2244. Google Scholar

20.

P. Hõrak , I. Ots & A. Murumägi 1998b. Haematological health state indices of reproducing Great Tits: a response to brood size manipulation. Funct. Ecol. 12: 750–756. Google Scholar

21.

P. Ilmonen , D. Hasselquist , Å. Langefors & J. Wiehn 2003. Stress, immunocompetence and leukocyte profiles of pied flycatchers in relation to brood size manipulation. Oecologia 136: 148–154. Google Scholar

22.

I.S. Khokhlova , M. Spinu , B.R. Krasnov & A.A. Degen 2004. Immune response to fleas in a wild desert rodent: effect of parasite species, parasite burden, sex of host and host parasitological experience. J. Exp. Biol. 207: 2725–2733. Google Scholar

23.

R.L. Lochmiller & C. Deerenberg 2000. Trade-offs in evolutionary immunology: just what is the cost of immunity? Oikos 88: 87–98. Google Scholar

24.

G.A. Lozano & D.B. Lank 2003. Seasonal trade-offs in cell-mediated immunosenescence in ruffs (Philomachus pugnax). Proc. R. Soc. Lond. B 270: 1203–1208. Google Scholar

25.

L.B. Martin II. , M. Pless , J. Svoboda & M. Wikelski 2004. Immune activity in temperate and tropical house sparrows: a common-garden experiment. Ecology 85: 2323–2331. Google Scholar

26.

L.B. Martin II , Z.M. Weil & R.J. Nelson 2008. Seasonal changes in vertebrate immune activity: mediation by physiological trade-offs. Phil. Trans. R. Soc. Lond. B 363: 321–339. Google Scholar

27.

A.P. Moller , J. Erritzoe & N. Saino 2003. Seasonal changes in immune response and parasite impact on hosts. Am. Nat. 161: 657–671. Google Scholar

28.

R.J. Nelson , G.E. Demas , S.L. Klein & L.J. Kriegsfeld 2002. Seasonal patterns of stress, immune function, and disease. Cambridge University Press, UK. Google Scholar

29.

I. Ots & P. Hõrak 1998. Health impact of blood parasites in breeding great tits. Oecologia 116: 441–448. Google Scholar

30.

I. Ots , A. Murumägi & P. Hõrak 1998. Haematological health state indices of reproducing great tits: methodology and sources of natural variation. Funct. Ecol. 12: 700–707. Google Scholar

31.

N.T. Owen-Ashley , M. Turner , T.P. Hahn & J.C. Wingfield 2006. Hormonal, behavioral, and thermoregulatory responses to bacterial lipopolysaccharide in captive and free-living whitecrowned sparrows (Zonotrichia leucophrys gambelii). Horm. Behav. 49: 15–29. Google Scholar

32.

P.L. Pap 2002. Breeding time and sex-specific health status in the barn swallow (Hirundo rustica). Can. J. Zool. 80: 2090–2099. Google Scholar

33.

P.L. Pap , Z. Barta , J. Tökölyi & C.I. Vágási 2007. Increase of feather quality during moult: a possible implication of feather deformities in the evolution of partial moult in the great tit Parus major. J. Avian Biol. 38: 471–478. Google Scholar

34.

P.L. Pap , C.I. Vágási , G.Á. Czirják & Z. Barta 2008. Diet quality affects postnuptial molting and feather quality of the house sparrow (Passer domesticus): interaction with humoral immune function? Can. J. Zool. 86: 834–842. Google Scholar

35.

J.C. Pinheiro & D.M. Bates 2000. Mixed-effects models in S and S-PLUS. Springer, New York. Google Scholar

36.

R Development Core Team 2005. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.  http://www.R-project.orgGoogle Scholar

37.

L. Råberg , M. Grahn , D. Hasselquist & E. Svensson 1998. On the adaptive significance of stress-induced immunosuppression. Proc. R. Soc. Lond. B 265: 1637–1641. Google Scholar

38.

I.M. Roitt , J. Brostoff & D.K. Male 1996. Immunology. Fourth edition. Mosby, London. Google Scholar

39.

A. Roulin , P. Christe , C. Dijkstra , A.-L. Ducrest & T.W. Jungi 2007. Origin-related, environmental, sex, and age determinants of immunocompetence, susceptibility to ectoparasites, and disease symptoms in the barn owl. Biol. J. Linn. Soc. 90: 703–718. Google Scholar

40.

B.C. Sheldon & S. Verhulst 1996. Ecological immunology: costly parasite defences and trade-offs in evolutionary ecology. Trends Ecol. Evol. 11: 317–321. Google Scholar

41.

E. Svensson , L. Råberg , C. Koch & D. Hasselquist 1998. Energetic stress, immunosuppression and the costs of an antibody response. Funct. Ecol. 12: 912–919. Google Scholar

42.

L. Svensson 1992. Identification guide to European passerines. Fourth edition. Stockholm. Google Scholar

43.

T. Szép & A.P. Møller 1999. Cost of parasitism and host immune defence in the sand martin Riparia riparia: a role for parent-offspring conflict? Oecologia 119: 9–15. Google Scholar

44.

I.R. Tizard 2004. Veterinary immunology: an introduction. Seventh edition. Saunders. Google Scholar

Appendices

SAMENVATTING

Het onderhoud van het inwendig afweersysteem van vogels kost energie en bouwstoffen. Vogels bezuinigen hierop zodra dat mogelijk is. Daarom is te verwachten dat de activiteit van het afweersysteem, afhankelijk van de ‘afweging’ van kosten en baten, aan fluctuaties onderhevig is. Gedurende twee jaren werd in Centraal-Roemenië bij Koolmezen Parus major bloed geprikt om te onderzoeken hoe sterk deze fluctuaties zijn. De bloedmonsters werden onderzocht op de hematocrietwaarde (gehalte aan rode bloedcellen), de aantallen van twee typen witte bloedlichaampjes (heterofielen en lymfocyten), de verhouding tussen deze twee (een maat voor de mate van stress waaraan de vogel is blootgesteld) en de concentratie aan afweerstoffen (immunoglobulines). De hematocrietwaarde nam in het voorjaar en de zomer sterk af, bereikte in de nazomer tijdens de rui een dieptepunt en nam daarna weer toe tot een piek in de winter en het voorjaar werd bereikt. De H/L-verhouding (toename aantal heterofielen, afname lymfocyten) was het hoogst in juli, tijdens de eerste helft van de ruiperiode. De toename van de H/L-verhouding in de loop van het broedseizoen is waarschijnlijk een weerspiegeling van de verhoogde stress waaronder de vogels tijdens die periode leefden. Bovendien kan hierbij een rol gespeeld hebben dat de werking van het afweersysteem wordt onderdrukt om voldoende energie vrij te maken voor bijvoorbeeld het voeren van de jongen. Na het broedseizoen keerden de aantallen heterofielen en lymfocyten, evenals de H/L-verhouding weer terug naar het niveau van voor het broedseizoen. Het gehalte aan immunoglobulines vertoonde een seizoenpatroon dat veel leek op dat aan heterofielen. Uit het onderzoek blijkt dat Koolmezen door het jaar heen een zeer variabel afweersysteem hebben, waarbij grote verschillen in patroon tussen de afzonderlijke onderdelen van het afweersysteem bestaan. De oorzaak van deze verschillen blijft in dit beschrijvend onderzoek duister, maar vermoed wordt dat elke component een eigen gevoeligheid voor stress, parasieten en hormonen heeft. Na het uitvliegen van de jongen veranderde opmerkelijk weinig in de samenstelling van het bloed. Alleen het gehalte van immunoglobulines liet een toename zien. (BIT)

Péter L. Pap, Csongor I. Vágási, Jácint Tökölyi, Gábor Á. Czirják, and Zoltán Barta "Variation in Haematological Indices and Immune Function During the Annual Cycle in the Great Tit Parus major," Ardea 98(1), 105-112, (1 March 2010). https://doi.org/10.5253/078.098.0113
Received: 6 April 2009; Accepted: 1 February 2010; Published: 1 March 2010
JOURNAL ARTICLE
8 PAGES


SHARE
ARTICLE IMPACT
Back to Top