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First published online January 3, 2006
Journal of Experimental Biology 209, 284-291 (2006)
Published by The Company of Biologists 2006
doi: 10.1242/jeb.02015
Variation in the innate and acquired arms of the immune system among five shorebird species
1 Department of Marine Ecology and Evolution, Royal Netherlands Institute
for Sea Research (NIOZ), PO Box 59, 1790 AB Den Burg, Texel, The
Netherlands
2 Departamento de Biologia Animal, Faculdade de Ciências da
Universidade de Lisboa, Campo Grande, Edifício C3, 1749-016 Lisboa,
Portugal
3 Animal Ecology Group, Centre for Ecological and Evolutionary Studies
(CEES), University of Groningen, PO Box 14, 9750 AA Haren, The
Netherlands
4 Department of Animal Ecology, Lund University, Ecology Building, S-223 62
Lund, Sweden and
5 Department of Biology, University of Missouri-St Louis, MO 63121-4499,
USA
* Author for correspondence at address 1 (e-mail: lcgmendes{at}hotmail.com)
Accepted 14 November 2005
| Summary |
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Key words: complement, habitat selection, humoral response, immunocompetence, immunoecology, natural antibodies, scavenging, shorebirds, wetlands, wildlife disease
| Introduction |
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In vertebrates, the immune system consists of two arms, a non-specific,
innate arm and a more specific, acquired arm
(Male and Roitt, 2000
;
Doan et al., 2005
). The innate
immune system provides initial protection to a wide variety of foreign
organisms. The acquired immune system confers delayed, but more specific,
protection against foreign antigens; in the blood stream it acts through
specific antibodies that attach to its target pathogen. Higher levels of one
component of the immune system need not imply greater overall resistance
(Adamo, 2004
); hence one should
strive to assay the different parts of the immune system. In the present
study, we collected several measurements of both the innate and the acquired
(humoral) arm of the immune system.
Migratory shorebirds share many of the life-history traits that are thought
to correlate with well-developed immune response, such as low reproductive
rate and relatively long lifespan (Tella
et al., 2002
). However, this group of birds also varies with
respect to migration strategy, habitat choice and foraging style
(Piersma, 2003
). While
migration strategies might affect immune response through competition for
limited energy resources (Piersma,
1997
; Møller and
Erritzøe, 1998
), habitat choice also can create differences
in disease risk (Moore, 2002
;
Mendes et al., 2005
). In
effect, while positive relationships between disease risk and immune response
have been found in several studies
(Lindström et al., 2004
;
Apanius et al., 2000
), the
relationship between migration and immunity may prove to be more difficult to
uncover.
In this study, we use a combination of immunological assays that measure
different branches of the immune system (innate as well as acquired) in a
comparative and experimental study of five related Scolopacidae, including
four Arctic-breeding and coastal wintering species: red knot Calidris
canutus Linnaeus 1758, bar-tailed godwit Limosa lapponica
Linnaeus 1758, sanderling Calidris alba Pallas 1764 and ruddy
turnstone Arenaria interpres Linnaeus 1758, and the
temperate-breeding ruff Philomachus pugnax Linnaeus 1758. Unlike the
other species, the ruff is confined to freshwater wetlands year-round. Ruddy
turnstones breed at more southerly latitudes than the other marine wintering
species and they routinely scavenge among human and other refuse along
seashores (Piersma et al.,
1996
). Among coastal shorebirds, ruddy turnstones seem to be
particularly affected by wildlife diseases
(Hansson, 2003
), as are
species using freshwater habitats in the tropics, such as ruff
(Mendes et al., 2005
).
| Materials and methods |
|---|
|
|
|---|
Individuals of all five species to be held in captivity were caught in The
Netherlands during the nonbreeding season. Three species were caught with
mistnets at night during southward migration in the western Wadden Sea
(53°16'N; 5°08'E): 10 red knots of the African wintering
subspecies C. c. canutus and 11 sanderlings in July-August 2001, and
two sets of ruddy turnstones, the first group with 24 individuals during
August 2001 and the second with 11 individuals during November 2002, after
post-breeding moult in the Wadden Sea
(Meltofte et al., 1994
).
Fourteen bar-tailed godwits and ten ruffs were trapped with wilsternets in
daytime during northward migration (Jukema
et al., 2001
). The bar-tailed godwits were caught in meadows on
the island of Texel (53°05'N, 4°75'E) in May 2001, and the
ruffs, in the province of Fryslân during April-May 2003. All birds were
individually ringed, measured, weighed and aged as being in their first year
of life or older on the basis of plumage characteristics
(Prater et al., 1977
).
Measuring immune responses
We chose assays to examine both the innate and the acquired arms of the
immune system. Innate immunity was investigated in free-living individuals by
measuring two of its most important components, i.e. natural antibodies and
the complement cascade (Matson et al.,
2005
). Natural antibodies recognise and attach to invading
organisms and are also responsible for initiating the complement cascade
(Ochsenbein and Zinkernagel,
2000
). The complement cascade recognises and kills extracellular
foreign organisms (Wilson et al.,
2002
). To assess the acquired immune response, we challenged wild
birds kept under identical aviary conditions with two antigens widely used in
immunoecology studies, i.e. tetanus and diphtheria toxoid (inactivated toxin;
e.g. Svensson et al., 1998
;
Råberg et al., 2003
;
Hanssen et al., 2004
). In the
present study, we considered antibody binding separately before vaccination
and after primary and secondary immune responses, because these involve
different mechanisms and molecules (Doan et
al., 2005
). In the humoral immune response, specific antibodies
are responsible for neutralizing the intracellular pathogens by blocking cell
binding/entry and preventing the spread of pathogenic organisms; they also
neutralize toxins produced by bacteria such as diphtheria and tetanus
(Roitt et al., 2000
).
Hemolysis-hemagglutination assay in free-living shorebirds
A blood sample of ca. 160 µl was obtained by puncturing the brachial
vein of wild shorebirds with a sterile 23-gauge needle; blood was collected in
two 80 µl heparinized microhematocrit capillary tubes. Samples were stored
on ice and were centrifuged for 10 min at 6900 g within 2 h.
Plasma was stored at -20°C until analysis at the University of Missouri-St
Louis.
To estimate the levels of circulating natural antibodies and complement we
used the hemolysis-hemagglutination assay described in detail by Matson et al.
(2005
). The agglutination
reaction measures the interaction between natural antibodies and antigens,
which results in blood clumping. The lytic reaction measures the amount of
hemoglobulin released from the lysis of exogenous erythrocytes (e.g. rabbit),
which is a function of the amount of lytic complement proteins present in the
sampled blood. In both cases, quantification is achieved by serial dilution of
plasma samples and assessment of the dilution step at which either the
agglutination or lysis reaction stopped. For this assay, we placed 25 µl of
plasma in six of the eight wells of the first row of a 96-well polysterene
plate (Corning Costar #3795, Corning, NY, USA; 8 columns by 12 rows). The same
amount of 0.01 mol l-1 sterile phosphate solution (PBS; Sigma
#P3813, St Louis, MO, USA) was set in the first well to serve as the negative
control; 25 µl of plasma of a well-known high responder (a chicken standard
sample) was added to the last well as a positive control. Next, we used a
multi-channel pipette to dilute with PBS all six plasma samples, the negative
control and the positive standard sample up to 1:1024, through a set of ten
1:2 serial dilutions. After the addition of 25 µl of 1% of rabbit blood
cell suspension to each well, each plate was sealed with a polystyrene plate
lid. Plates were vortexed for 10 s at a low speed, and set to incubate at
37°C for 90 min. After incubation plates were tilted at a 45° angle
along their long axis for 20 min at room temperature, then plates were scanned
(Microtek Scanmaker 5900, Carson, CA, USA) using the positive transparency
(top-lit) option and a full-size image (300 d.p.i.). We then quantified
agglutination (which gives a measure of natural antibody levels) and
complement-mediated lysis by assessing the dilution stage (on a scale from 1
to 12) at which these two reactions stopped (for further details, see
Matson et al., 2005
).
Humoral immune assays on wild birds held in captivity
With the exception of the 24 ruddy turnstones caught during August 2001
that were challenged with antigens 5 months after capture; all other birds
were challenged within a month of capture.
To avoid the possibility of confounding effects of sex and age on the
immune response, we attempted to restrict our experimental animals to adult
females. Upon capture we selected bar-tailed godwits with the longest bills
(Piersma and Jukema, 1990
),
red knots and sanderlings with long bills and the clearest brood patches
(Nebel et al., 2000
), and
small-sized ruffs (van Rhijn,
1991
). There are no external criteria for distinguishing female
ruddy turnstones, and therefore we determined sex by a molecular PCR-DNA
technique verified for red knots (Baker et
al., 1999
), and tested for sex and age differences in the group
with enough individuals to compare between sexes or ages, the first group of
ruddy turnstones (9 males and 15 females; 10 adults and 14 juveniles). We
found no differences in diphtheria antibody levels between males and females
or between first year and older birds (sex: repeated-measures ANOVA:
F1,20=0.13; P=0.73; age:
F1,20=0.29; P=0.60; sexxage:
F1,20=1.22; P=0.28) or in tetanus antibody levels
(sex: repeated-measures ANOVA: F1,20=0.11;
P=0.75; age: F1,20=0.63; P=0.44;
sexxage: F1,20=0.42; P=0.52). Therefore, in
the context of interspecific comparisons, sex and age differences in antibody
production are probably negligible.
Birds were kept in single-species flocks in large aviaries at the Royal Netherlands Institute for Sea Research (NIOZ) under the ambient natural light:dark cycle. The size of the aviaries, which had running freshwater and seawater, ranged from 1 mx3 m and 2.5 m high, to 7 mx7 m and 3.5 m high. Bar-tailed godwits, red knots, sanderlings and ruddy turnstones were fed trout pellets ad libitum, and ruffs also received mealworms Tenebrio sp. By 2 weeks after capture, body mass had stabilised and we presumed that birds had acclimated to captivity. At the time of testing, body masses as a percentage of the level at capture were 81±11% for bar-tailed godwits (mean capture mass=316 g, N=14), 87±11% for red knots (mean=137 g, N=10), 86±14% for sanderlings (mean=52 g, N=11), 90±15% for the first group of ruddy turnstones (mean=117 g, N=24), 98±14% for the second group of ruddy turnstones (mean=114 g, N=11), and 98±8% for the ruffs (mean =108 g, N=10).
Primary immune responses were elicited through vaccination with 120 µl
of the combined tetanus and diphtheria toxoid in the pectoral muscle using a
0.5 ml sterile syringe (for further details of procedures, see
Hasselquist et al., 2001
).
Secondary immune responses were elicited through a second vaccination with 100
µl of the same vaccine combination. Blood samples were taken prior to the
first injection, and with the exception of the second group of ruddy
turnstone, which were sampled 1 week later, at day 14 after the first
injection and day 7 after the second injection, respectively
(Feldman, 2000
; Hasselquist et
al., 1999
,
2001
;
Owen-Ashley et al., 2004
).
Blood was centrifuged for 12 min at 6900 g and the plasma
preserved at -30°C until analysis.
Antibody levels against tetanus and diphtheria toxoid were determined by
using a modified quantitative enzyme-linked immunosorbent assay (ELISA;
Hasselquist et al., 2001
).
Individual polysterene 96-well plates (Costar) were coated with either a
diphtheria toxoid or with a tetanus toxoid {both diluted to 3 µg
ml-1 with 0.06 mol l-1 of carbonate buffer [37 ml
NaHCO3 (1 mol l-1) mixed with 13 ml
Na2CO3 (1 mol l-1) diluted in dH2O
to a total volume of 200 ml], at pH 9.6} and left to incubate overnight at
4°C. After washing three times with a buffer (0.01 mol l-1 PBS
containing 0.05% Tween 20), all plates were blocked with 3% milk powder,
diluted in the same buffer, for 2 h at room temperature. Plates were then
washed twice and 100 µl of a 1:1600 diluted plasma sample was added (plasma
was diluted in a 1:2 serial dilution with 1% milk powder mixed in PBS/Tween20)
and left incubating overnight at 4°C. After three buffer washes, 100 µl
of a 1:1000 diluted rabbit anti-passerine Ig antibody (produced against
redwinged blackbird Agelaius phoeniceus antibodies;
Hasselquist et al., 1999
) was
added to the wells and left to incubate for 1 h at 37°C. Plates were
washed again two times and a diluted peroxidase-labelled goat anti-rabbit
antibody (Catalogue no. A 6154, Sigma) was added and incubated for 30 min at
37°C. Plates were washed twice and thereafter the substrate solution [200
µl of 0.2 mmol l-1 ABTS (Catalogue no. A 1888, Sigma) and 80
µl of 30% H2O2 (diluted 1:40 in distilled
H2O) mixed in 20 ml of citrate buffer, pH 4.0] was added to achieve
colour reaction. We used a Vmax microplate reader (Molecular Devices,
Sunnyvale, CA, USA) to read the kinetics of colour reactions at 405 nm every
30 s for 14 min. Calculation of antibody titers was based on the slope of the
substrate conversion, in millioptical density units min-1 (mOD
min-1).
Statistical analysis
All samples from the specific antibody measurements were run in duplicate.
Repeatability (intersample variability) was estimated as a percentage of the
total variability; interplate variability was based on the series of diluted
reference samples (1:600 to 1:76800) run on each plate. Intersample
variability was 2% and interplate variability was 16%. We used the average
values of the duplicate samples in all analyses. To account for interplate
variation we adjusted all values to be comparable with a reference plate,
using plasma from one red knot (known to be a high responder) as reference
sample on all plates.
Natural antibody data were log2-transformed, to achieve
normality (samples were 1:2 serial diluted). We tested for interspecific
differences in natural antibody levels with analysis of covariance (ANCOVA),
with body mass entered as a covariate. Complement activity data was not
normally distributed, and therefore we used Kruskal-Wallis (multiple species)
and Kolmogorov-Smirnov tests (two species), to test for interspecific
differences (Sokal and Rohlf,
1995
).
Humoral antibody titers were log10-transformed to normalize the
residuals (Sokal and Rohlf,
1995
). We accounted for the unwanted variability caused by
interspecific differences in body mass by using an ANCOVA, with body mass
entered as a covariate. Furthermore, to identify which species exhibited the
highest antibody response, we performed a post hoc Tukey test.
To investigate whether immune responses exhibit a general pattern, we correlated the different immune measurements at the individual and the species levels. We used the parametric Pearson correlation coefficient to determine the relationships between complement activity and natural antibody levels (innate components) and between tetanus and diphtheria humoral response (acquired components). Because the innate and acquired measurements were taken in different individuals, we used Spearman rank correlations to see whether species average response values correlated among and between the two arms of the immune system. All tests were performed in SYSTAT 9 for Windows.
| Results |
|---|
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|
Humoral immune assays on wild birds held in captivity
The two groups of ruddy turnstones differed with respect to diphtheria
pre-vaccination antibody levels (ANCOVA: trial F1,31=6.40,
P=0.02; body mass F1,31=2.06, P=0.16)
and tetanus primary immune response (ANCOVA: trial
F1,31=4.92, P=0.03; body mass
F1,31=0.15, P=0.70), but not with respect to the
primary immune response against the diphtheria toxoid (ANCOVA: trial
F1,31=0.92, P=0.35; body mass
F1,31=0.41, P=0.53), or the secondary immune
response (ANCOVA: trial F1,31=0.84, P=0.37; body
mass F1,31=0.13, P=0.73)
(Fig. 2). The same was true for
the pre-vaccination (ANCOVA: trial F1,31=0.29,
P=0.60; body mass F1,31=0.27, P=0.61)
and secondary antibody titers against the tetanus antigen (ANCOVA: trial
F1,31=0.05, P=0.82; body mass
F1,31=0.22, P=0.65). Although the absolute
magnitudes of these differences were small compared to the differences between
the shorebird species (Fig. 2),
we nonetheless included only the group of ruddy turnstones that were
challenged within a month of capture in the interspecific analysis.
|
All species responded positively to vaccination by producing antibodies against the diphtheria toxoid (repeated-measures ANOVA: ruff F2,18=17.96, P=0; ruddy turnstone F2,16=111.39, P=0; bar-tailed godwit F2,26=12.39, P=0; sanderling F2,20=8.93, P=0; red knot F2,18=10.11, P=0) and the tetanus toxoid (repeated-measures ANOVA: ruff F2,18=26.37, P=0; ruddy turnstone F2,16=81.26, P=0; bar-tailed godwit F2,26=18.26, P=0; sanderling F2,20=14.44, P=0; red knot F2,18=23.92, P=0; see also Fig. 2).
Diphtheria antibody levels differed between species, even before vaccination (ANCOVA: species F4,9=4.54, P=0; body mass F1,49=0.07, P=0.79). The interspecific differences in diphtheria antibody levels widened during the primary (ANCOVA: species F4,47=6.23, P=0; body mass F1,47=0.09, P=0.77) and the secondary immune responses (ANCOVA: species F4,47=16.92, P=0; body mass F1,47=2.95, P=0.09). In contrast, tetanus antibody levels did not differ between species, either before vaccination (ANCOVA: species F4,49=1.06, P=0.39; body mass F1,49=0.29, P=0.59), or during the primary immune response (ANCOVA: species F4,47=0.90, P=0.47; body mass F1,47=0.06 P=0.82), but they did differ during the secondary immune response (ANCOVA: species F4,47=9.94, P=0; body mass F1,47=2.68, P=0.11). Post hoc Tukey tests revealed that the ruddy turnstone had (in the case of diphtheria), or developed (in the case of tetanus), higher antibody levels to the same amount of vaccine than the other species. Pre-vaccination, primary and secondary antibody levels against diphtheria and secondary antibody levels against tetanus did not differ among the other species (see also Fig. 2).
Relation between the different immune measurements
The two innate components measured in this study, i.e. natural antibody
level and complement-mediated lysis, were not correlated (r=0.09,
N=127, P=0.17), but the two measurements of the acquired arm
of the immune system (antibody titers against diphtheria and tetanus) were
positively correlated during pre-injection (r=0.66, N=44,
P=0), primary response (r=0.63, N=54, P=0)
and especially secondary immune response (r=0.82, N=55,
P=0).
Even though the correlations between innate and acquired immune components were based on the data points for the five species and were never significant at the 5% level, there was a tendency for a positive correlation between natural and background antibodies against diphtheria and between complement activity and secondary tetanus antibody titers (Table 1).
|
| Discussion |
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|
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The hemolysis-hemagglutination assay measurements of natural antibodies and
complement activity were well within the range of values found for other bird
groups (Matson et al., 2005
).
With respect to the ELISA assay of antibody levels against tetanus and
diphtheria, we found that the primary and secondary antibody titers in all
five shorebird species were significantly higher than pre-injection values.
Hence, despite the ELISA being designed for passerine birds, it apparently
also works well in shorebirds. Among all five shorebird species, antibody
responses against diphtheria were lower than those against tetanus, which is
in accordance with other studies on wild birds (e.g.
Westneat et al., 2003
;
Owen-Ashley et al., 2004
).
We did not find any correlation between the two innate components (natural
antibody level and complement-mediated lysis), nor between innate and acquired
components. This result underlines the problem of obtaining a `general'
measure of immunocompetence and emphasizes the importance of measuring
different aspects of the immune system
(Adamo, 2004
;
Matson et al., 2005
). There
was a tendency for a relationship between natural antibodies and background
antibody titers, which suggests that they both might reflect the basic level
of (polyclonal) natural antibodies in the circulation.
Ruddy turnstones stand out as high responders in three of the four immune
measurements taken (complement-mediated lysis, humoral responses to tetanus
and diphtheria toxoid). This difference is not likely to be explained by
phylogeny because turnstone's closest relatives (sanderling, red knot and
ruff) were as low responders as the more distantly related bar-tailed godwit
(see Piersma et al., 1996
).
Thus, the high responder is embedded in a clade of low responders in our
study, and presumably evolved from a low-response state. Furthermore, neither
habitat choice per se nor migration strategy can explain the
exceptionally strong immune responses observed in the ruddy turnstone, since
this species shares coastal wetlands and long-distance migration with other
low responders, such as the bar-tailed godwit, the sanderling and the red
knot. Ruddy turnstones do stand out, however, by their scavenging habits. They
often feed on decomposing food remains, including dead fish and mammals
(Piersma et al., 1996
), and as
a consequence they are often found close to human settlements, e.g. in
harbours, where they are likely to benefit from an abundance of such food
items. This opportunistic feeding style might expose them to infections,
particularly diseases that are transmitted by contaminated dead animals, e.g.
Avian Cholera or Herpes virus (Friend and
Franson, 2001
). Indeed, in the eastern USA, ruddy turnstones
carried 67.5% of Avian Influenza Virus (AIV) infections, even though they
accounted only for 12.4% of 2162 individuals from 15 different shorebird
species in a study by Hansson
(2003
).
We suggest that in the nonbreeding season ruddy turnstones might be exposed
to a particularly broad range of disease organisms, and that they therefore
require high responsiveness in several parts of the immune system. A similar
conjecture was made for populations of the Darwin's finch Geospiza
fuliginosa, in which islands with the highest prevalence of avian pox and
feather mites supported host populations with the highest natural and humoral
immune responses (antibody levels;
Lindström et al.,
2004
).
It is perhaps surprising that ruffs exhibited low levels of immune
response, as they occur in inland freshwater habitats where the likelihood of
avian malaria infection is high (Mendes et
al., 2005
). This environment presumably would select ruffs to
invest strongly in their immune systems
(Piersma, 1997
), but this
hypothesis was not supported here. Note, however, that we did not measure
cell-mediated immunity, a type of response known to be involved in the control
of malaria parasites (Wakelin,
1998
; Doan et al.,
2005
).
To the best of our knowledge, this is the first time that a suite of immune system measures has been applied to shorebirds in a comparative study of immunocompetence between species. In brief, our findings emphasize the need to study several immune components, preferably from different arms of the immune system, when assessing `general immunocompetence'. Furthermore, we suggest that the relationships between immune response and infection patterns are particular, rather than general, and depend strongly on the range and strength of exposures and the precise variety of parasite types.
| Acknowledgments |
|---|
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