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First published online December 1, 2006
Journal of Experimental Biology 209, 5029-5037 (2006)
Published by The Company of Biologists 2006
doi: 10.1242/jeb.02601
Schistosome infection in deer mice (Peromyscus maniculatus): impacts on host physiology, behavior and energetics
Department of Biology, University of New Mexico, Albuquerque, NM 87109, USA
(e-mail: schwanz{at}iastate.edu)
Accepted 17 October 2006
| Summary |
|---|
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|
|---|
Key words: rodent, Schistosomatium douthitti, metabolic rate, liver, wheel running, phenotypic plasticity
| Introduction |
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|
|
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Parasites represent an important stressor for many animals, and their
effects on host phenotypes can include direct pathologies and host plasticity.
For example, parasitism can cause liver and intestinal damage, anemia and
increased thermal conductance (Booth et
al., 1993
; Holmes and Zohar,
1990
; Meagher,
1998
; Schall et al.,
1982
; Tocque,
1993
; Wiger,
1977
). Parasitism can also lead to changes in the energetics and
performance of animals, including reduced feeding and activity, impaired
anti-predator and competitive behavior, and altered metabolic rates
(Arneberg et al., 1996
;
Booth et al., 1993
;
Cunningham et al., 1994
;
Freeland, 1981
;
Poirier et al., 1995
;
Rau, 1983a
;
Rau, 1983b
;
Rau and Putter, 1984
;
Schall et al., 1982
;
Symons, 1985
). Finally,
parasitized animals may show shifts in organ size and body tissue composition
(Kristan, 2002
;
Kristan and Hammond, 2000
;
Kristan and Hammond, 2001
;
Tocque, 1993
). Although it is
difficult to distinguish between direct parasite impact and host compensation,
host alterations in some systems appear to represent phenotypic plasticity to
minimize the fitness costs of infection (e.g.
Booth et al., 1993
;
Kristan and Hammond, 2001
;
Podesta and Mettrick, 1976
).
Indeed, parasitism can have strong, negative impacts on host fitness through
decreases in survival and reproduction (e.g.
Crews and Yoshino, 1989
;
Fuller and Blaustein, 1996
;
Goater and Ward, 1992
;
Neuhaus, 2003
;
Zuk, 1987
). The host-parasite
relationship, therefore, provides an interesting and ecologically important
stage on which to examine phenotypic plasticity and fitness consequences of
stressors. Additionally, understanding the phenotypic response of individual
hosts is imperative for understanding populationlevel effects and coevolution
between hosts and parasites (Anderson and
May, 1978
; Anderson and May,
1982
; Boonstra et al.,
1980
; Gregory,
1991
).
Schistosomes (Trematoda) have indirect life cycles, using many species of
birds and mammals as definitive hosts. The adult worms live in the mesenteric
and hepatic portal veins of the definitive host
(Price, 1931
). Sexually
produced eggs pass into the lumen of the host intestines and out in the feces.
The subsequent life stages develop and reproduce asexually in the intermediate
host, freshwater snails. Mobile cercariae are shed from infected snails into
surrounding water and, upon encountering the skin of a definitive host, burrow
through the skin and migrate to the portal vein where they grow and mature
(Price, 1931
).
Schistosomatium douthitti is distributed across northern North
America and infects a variety of rodents
(Malek, 1977
). Infection
pathology is largely associated with the host's inflammatory response to
parasite eggs and with host tissue damage caused directly by the eggs
(Kagan and Meranze, 1957
;
Raiczyk and Hall, 1988
;
Zajac and Williams, 1981
). In
addition to being found in the intestinal lining, many eggs become trapped in
the liver and spleen of the host. Infection in rodents leads to liver and
spleen enlargement, immune cell recruitment to eggs in host tissues, blood in
the feces (presumably due to capillary damage during passage of eggs through
the intestinal wall) and, in many cases, death
(Kagan and Meranze, 1957
;
Raiczyk and Hall, 1988
;
Zajac and Williams, 1981
).
Virtually nothing is known of how these pathologies impact liver or intestinal
function, physiology, energetics or behavior (see
Raiczyk and Hall, 1988
).
Additionally, most information on host effects comes from lab mice (Mus
musculus) (Kagan and Meranze,
1957
; Kagan and Meranze,
1958
; Raiczyk and Hall,
1988
). Natural hosts of S. douthitti are not impacted as
strongly by infection (Zajac and Williams,
1981
), so a great deal of new information can be gained by
examining the impacts of infection in natural hosts.
The aim of the present study was to examine the impact of parasitism by
S. douthitti on deer mouse (Peromyscus maniculatus)
physiology, behavior and energetics and to assess whether deer mice may employ
phenotypic plasticity to compensate for the costs of infection. I examined a
suite of host phenotypic traits, with the goal of establishing how these
traits may interact to determine the overall impact of infection on hosts.
Deer mice are good experimental subjects because they are natural hosts for
this parasite (Malek, 1977
;
Price, 1931
) and because there
is a wealth of data available on deer mouse physiology and energetics
(Chappell et al., 2004
;
Chappell and Hammond, 2004
;
Green and Millar, 1987
;
Hammond and Kristan, 2000
;
Hayes, 1989
;
Hayes and Chappell, 1986
;
Hill, 1983
;
Koteja, 1996a
;
Koteja, 1996b
;
Millar, 1979
;
Millar, 1985
).
Schistosome infection in deer mice is predicted to have direct
physiological costs for hosts. These costs are examined here through the
primary parasite pathology, specifically by measuring liver and spleen mass
and liver damage. Liver damage is assessed with markers of (1) cell damage,
including alkaline phosphatase (ALP), alanine aminotransferase (ALT) and
aspartate aminotransferase (AST) and (2) liver protein production (albumin)
(Loeb and Quimby, 1989
). Liver
measures are predicted to reveal typical conditions of schistosomiasis. That
is, the liver should be enlarged and liver diagnostics should reveal cell
damage (increased ALP, ALT and AST) and reduced organ function (reduced
albumin) (Loeb and Quimby,
1989
). In addition, I predict that the spleen will be enlarged, as
is typically seen in animals infected with schistosomes due to the presence of
an inflammatory response to parasite eggs and potentially to increased
functional demand on the spleen (Kagan and
Meranze, 1958
; Zajac and
Williams, 1981
).
If parasitism carries a physiological cost for hosts, I predict that deer
mice adjust their activity or energetics (phenotypic plasticity) to ameliorate
the overall costs. I predict that there will be no change in total digestive
efficiency in deer mice but an increase in GI mass to compensate for reduced
intestinal function per unit mass, as previously seen in parasitized mice
(Kristan, 2002
;
Kristan and Hammond, 2000
;
Kristan and Hammond, 2001
).
Compensation for physiological costs may also include increased energy
expenditure, resulting in increased food consumption or decreased body mass.
However, these mechanisms are not predictably employed by hosts to compensate
for parasitic costs, so they are not predicted to change here
(Fuller and Blaustein, 1996
;
Kristan and Hammond, 2000
;
Raiczyk and Hall, 1988
).
Reductions in daily activity levels are often seen in parasitized animals
(e.g. Poirier et al., 1995
;
Rau, 1983b
). Behavioral
activity of deer mice (here, voluntary wheel running) is predicted to decrease
in parasitized animals. Finally, metabolic rates representing basal operating
costs [basal metabolic rate (BMR)] and the upper limit to sustained activity
or thermogenesis [cold-induced maximal metabolic rate (MRmax)]
provide estimates of the energetic costs of S. douthitti in deer
mice. If mice have compensated for the physiological costs of parasitism, I
would predict no change in metabolic measures
(Kristan, 2002
;
Kristan and Hammond, 2000
;
Meagher and O'Connor, 2001
).
If mice have not fully compensated for the costs of infection, I would predict
changes in metabolic measures that represent either extended costs of
infection or further phenotypic plasticity.
| Materials and methods |
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Schistosomatium douthitti and the snail host (Stagnicola
elodes) were from lines originally collected in Indiana (provided by D.
Daniell, Butler University). At the University of New Mexico, the parasite
life cycle was maintained through S. elodes as the intermediate
(snail) host and Djungarian hamsters or deer mice as the definitive hosts. To
infect mice, patent snails were placed in artificial spring water (ASW) in the
dark for approximately 1.5 h to induce shedding of cercariae. Cercariae were
collected under a dissecting microscope by catching a film of contaminated
water with a small metal loop (3 mm loop diameter). The film of water was
presented to the mouse, which would lick the loop and consume the water and
cercariae. This method allowed approximate counts of the number of cercariae
to which a mouse was exposed. Control mice were provided uncontaminated ASW
for consumption. Host patency, when eggs begin to be passed in the feces and
accumulate in the liver, starts around 30 days after infection (DAI)
(Kagan and Meranze, 1958
;
Price, 1931
;
Zajac and Williams, 1981
). All
measurements were conducted at
45 DAI to ensure that the immune-inducing
phase of the life cycle was present in the hosts.
Behavior
Food and water consumption as well as digestive efficiency were measured
for mice between 49 and 52 DAI. Mice were weighed to the nearest 0.1 g and
placed in clean cages. Standard rodent chow was weighed to the nearest 0.01 g
and provided on the cage lid (food provided in excess). Water was provided in
a plastic water bottle (mass to the nearest 0.1 g). After three days, mice,
food, feces and water bottles were weighed. Uneaten food was collected from
the cage lid and from the cage floor. Food and feces were not dried beyond
their state at collection (most fecal pellets were not fresh). Food and water
consumption was calculated as the difference in the mass before and after the
three-day period. Digestive efficiency [apparent dry matter digestibility
(ADMD)] was calculated as: (Food consumed - feces produced)/(food
consumed).
Voluntary wheel-running activity was recorded over a single night between 53 and 58 DAI. Mice were placed in tall rodent cages (43x27x20 cm, LxWxH) with bedding, rodent chow on the cage floor, and a hanging water bottle. One end of the cage contained a free-standing metal mesh running wheel (14.8 cm diameter). A cycle computer (Sigma Sport Model BC 1200; Sigma Sport USA, Batavia, IL, USA) was attached to the running wheel to record rotations. Mice were placed in the cages at 19:00 h and allowed to run overnight. Data on the total distance run and the total time of wheel rotation overnight were collected at approximately 8:00 h (7:30-11:00 h) the following morning. Using these data, I calculated the mean speed (km h-1) during the time spent running during the night (12.5-16 h recording period).
Energetics
Basal metabolic rate (BMR) and cold-induced maximal metabolic rate
(MRmax) were measured once for each animal between 56 and 66 DAI.
BMR was measured at least three days after wheel running to ensure at least
one night of recovery for the mice between wheel running and fasting (1-4
nights of recovery, randomized between treatments). MRmax was
measured at least one day after BMR measurement for a given animal. For both,
rates of oxygen consumption
(
O2) were determined using
open-flow respirometry. Dry, CO2-free air was supplied to chambers,
with airflow controlled upstream via mass flow controllers (OMEGA
FMA-2407 Mass Flow Controller and FLT-03ST and -02C Rotameters; OMEGA
Engineering, Inc., Stamford, CT, USA). Excurrent air was sampled for
CO2 concentration by a LI-COR CO2 analyzer (LI-7000;
LI-COR; Lincoln, NE, USA), scrubbed of H2O and CO2
(using Drierite and ascarite), then sampled for O2 concentration
using a Sable Systems O2 analyzer (FC-1B; Sable Systems, Henderson,
NV, USA). Changes in O2 and CO2 concentrations were
recorded with Sable Systems DATACAN V data acquisition and analysis software.
Oxygen concentrations were not allowed to fall below 20.4%.
O2 was calculated according
to equation 4a in Withers (Withers,
1977
).
For BMR measurements, room air was scrubbed of CO2 and provided
to the animals at a flow rate of 480-1200 ml min-1. Metabolic
chambers (plastic;
680 ml) contained a small amount of bedding and were
placed in a warm cabinet maintained at 30±2°C. BMR measurements
were recorded during the inactive phase of the animal's daily cycle (between
08:00 h and 12:30 h) after fasting for 10-12 h. Four mice were run
simultaneously during a trial. Each chamber was sampled for 5 min at a time (5
s sampling intervals), after which the next chamber was sampled. Baseline air
was sampled for 4.5 min every 20 min. Each mouse was recorded over 3.5 h, and
the lowest mean O2 consumption during a 3 min interval was used to
calculate BMR. Mice were weighed before and after BMR measurements. Mass at
the end of the trial was used in statistical analyses since BMR was typically
calculated from sampling sessions late in the trial.
MRmax was measured under exposure to cold conditions in heliox
(21% oxygen/79% helium), which greatly increases thermal conductance
(Rosenmann and Morrison,
1974
). Mice were placed in a glass chamber (500 ml) in a cold
cabinet maintained at 2-4°C. Trials were conducted between 15:00 h and
19:00 h. At the beginning of the trial, the chamber was flushed with heliox at
1600 ml min-1 for 4 min. After flushing, heliox was provided to the
chamber at a flow rate of
980 ml min-1 for 15 min. Pure heliox
was sampled as a baseline for 1.5 min prior to the trial. Excurrent air from
the chamber was then sampled every 5 s during the 15-min trial.
MRmax was calculated from the highest mean consecutive three
minutes of O2 consumption during the trial. Body mass was measured
prior to the trial. Body temperature was recorded before and after the trial
(within 30 s of removing the animal from the chamber) with a rectal
thermocouple. Metabolic scope was calculated as MRmax/BMR.
Physiology and morphology
Physiological costs of parasitism were assessed at euthanasia (65-68 DAI).
Mice were injected with ketamine (0.25 mg g-1) and xylazine (1:3
v/v ketamine:xylazine). Blood was collected via heart puncture
(250-500 µl), allowed to clot for 30 min in a serum separator tube
(Microtainer® brand tube, model SSTTM; Becton-Dickinson, Franklin
Lakes, NJ, USA), then centrifuged at 10 000 g for 90 s. Blood
serum was removed and analyzed by IDEXX Reference Laboratories, Inc.,
Preclinical Research Division (West Sacramento, CA, USA) for serum levels of
ALP, ALT, AST and albumin using photometric assays (Hitachi 747). Immediately
following heart puncture, mice were asphyxiated with CO2. Mice were
weighed after exsanguination (`whole body mass') and dissected. Wet liver and
spleen masses were recorded, and intestines from the stomach to the rectum,
including the cecum, were removed. Carcasses were weighed without livers and
intestines but with spleens [`eviscerated body mass' (EBM)]. The liver was
homogenized in ASW in a Waring blender and viewed under a dissecting
microscope to visually confirm infection status by the presence of parasite
eggs.
To assess the potential for plasticity in morphology, the mass of the GI tract (including the cecum) and the food contained therein was calculated as: (whole body mass) - (EBM + wet liver mass). I believe this is an accurate measure of intestinal and food mass because the mice were exsanguinated and, therefore, lost little blood upon dissection. The proportion of the whole body mass that was represented by EBM, wet liver mass and intestinal mass was calculated.
Statistical analyses
Treatments were compared using parametric statistics when data appeared
normally distributed, and statistical models revealed no significant
differences in variance (ANOVA/ANCOVA, Bonferroni-corrected two-sample
t-tests). Otherwise, non-parametric comparisons were used as they do
not assume normality and are less sensitive to differences in variance among
groups (Kruskal-Wallis ANOVA on raw data or mass-residuals, and
Bonferroni-corrected Mann-Whitney U-tests). In all analyses, the two
infection treatments (LD and HD) did not differ, so were combined into one
`Infected' treatment, and differences between treatments in the response
variables were again tested using only pairwise comparisons (ANCOVA or
t-tests/U-tests on raw data or mass-residuals). Only the
results of the final pairwise comparisons are reported here. For most
statistical models, mouse mass was used as a covariate, and an interaction
term was included (mass x treatment). If these variables were not
significant (P>0.10), they were removed from the model
sequentially. EBM was used for analyses of liver and spleen variables, whereas
mass prior to the variable measurement was used for analyses of behavioral and
energetic measurements (except for BMR). Values are presented as means
± s.d.
| Results |
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Physiological impacts
Wet liver mass was significantly greater in infected mice compared with
controls (Table 1). Parasitized
mice also had larger wet spleen masses than controls
(Table 1). These organs also
had visual characteristics of disease. Livers of infected mice were darker in
color than controls, had a mottled appearance and displayed pitting and
pinhead-sized white spots on the lobe surfaces. Spleens were also darker and
thicker in appearance in infected mice compared with those of control
mice.
|
Liver diagnostics showed variable results (Table 1; Fig. 1). Contrary to predictions, ALP levels were lower in infected mice compared with control mice. Treatment had no effect on blood serum concentrations of either AST or ALT. Albumin was negatively correlated with mass and was lower for infected mice in an ANCOVA. However, variances differed significantly in this model, so the residuals of albumin on mass were used as the response variable (regression: r2=0.09, P=0.113). Albumin residuals were significantly lower in infected mice compared with control mice, as predicted (Table 1). Infected mice also had lower serum albumin when considering raw values (t=4.56, P<0.001). Raw data are presented in Fig. 1D.
|
Differences between treatment groups in whole-body mass at euthanasia were largely due to differences in the proportion of this mass contributed by liver and intestinal mass (Table 1; Fig. 2). The proportion of whole-body mass due to EBM was significantly lower in infected mice. As one might expect, wet liver mass made up a greater proportion of mass in infected mice than in control mice. Similarly, the GI tract also made up a greater proportion of whole-body mass in infected mice than in control mice. The increase in proportional intestinal mass may be due to actual organ mass, food mass, or both.
|
Wheel activity varied greatly among mice. The mean total time spent running on the wheel for all mice during the 12.5-16 h of recording was 3.1±2.7 h and ranged from 74 s to 7.9 h. The mean total distance ran in a night was 6.4±7.8 km (range, 0.02-32.6 km). The mean running speed of a mouse was 1.77±1.1 km h-1 (range, 0.57-5.19 km h-1). Total distance, total time of activity and mean speed were not predicted by treatment, body mass or mass x treatment (Table 2).
|
Energetics
One control mouse was excluded from BMR analysis because no prolonged rest
period based on CO2 and O2 profiles was recorded for
this animal. Treatment had no effect on BMR
(Fig. 3A; body mass and mass
x treatment were non-significant and were removed from final analysis;
treatment, t=-0.97, P>0.10). Maximal metabolic rate
during cold exposure was correlated with mass, but the ANCOVA model showed
significantly different variances. In order to account for mass while using
non-parametric statistics, MRmax was regressed against mass
(Fig. 3B;
r2=0.25, P=0.006), and the residuals were used as
the response variable. Treatment had no effect on MRmax residuals
(U=64.00, P>0.10). Metabolic scope was not predicted by
mass, mass x treatment or treatment
(Fig. 3C; treatment,
t=0.81, P>0.10).
|
| Discussion |
|---|
|
|
|---|
Infection in deer mice did lead to reduced serum albumin, typically
interpreted as an indication of liver disease
(Loeb and Quimby, 1989
;
Meagher, 1998
). Whereas
albumin levels in control deer mice were similar to those of healthy lab mice
(3.0-4.0 g dl-1) (Loeb and
Quimby, 1989
), infected mice showed albumin levels reduced by up
to 27% compared with control mice. This reduction could be indicative of
several potential parasitic effects (Loeb
and Quimby, 1989
; Symons,
1985
). First, and most likely, liver damage caused by infection
may have impaired synthesis of albumin. Second, albumin could be lost in feces
via intestinal lesions caused by parasitic eggs. Third, the adult
parasite worms and eggs themselves may absorb and catabolize albumin as a
nutrient. Schistosome worms and eggs (which grow and embryonate over
9
days inside the host) absorb free amino acids
(Bruce et al., 1972
;
Stjernholm and Warren, 1974
)
and may take up and catabolize albumin
(Symons, 1985
). Reductions in
serum albumin can have a number of consequences for animals (e.g. edema) due
to its diverse roles in maintaining physiological homeostasis (e.g. transport
of proteins and maintenance of osmotic pressure). Similar reductions (29%) in
serum albumin in ill humans dramatically increase the chances of morbidity (by
89%) and mortality (by 137%) (Vincent et
al., 2003
), which suggests that the albumin reductions recorded in
this study for infected deer mice represent a substantial cost.
Despite the obvious liver damage and physiological costs of infection,
little change was seen in deer mouse energetics. BMR and MRmax
measures were similar to those of previous studies for uninfected deer mice
(e.g. Hayes, 1989
;
Hayes and Chappell, 1986
;
Meagher and O'Connor, 2001
)
but were unaffected by parasitic infection.
In the present study, the only change in energetics recorded was the
greater decrease in body temperature by parasitized mice following cold
exposure, which indicates altered thermoregulation in infected animals and may
be related to fitness reductions. The results may suggest that, despite having
equally high metabolic rates in the cold, parasitized mice cannot maintain
body heat as well as control mice. This difference may be explained by reduced
body fat or fur grooming, both of which have previously been observed in
rodents exposed to parasites (Kristan and
Hammond, 2000
; Kristan and
Hammond, 2001
; Raiczyk and
Hall, 1988
; Zajac and
Williams, 1981
). The temperature loss may also be due to the
non-significant tendency (P=0.12) for parasitized mice to have
reduced MRmax, as suggested by the data shown in
Fig. 3E. However, this
correlation may also be explained if temperature loss in infected mice during
the trial led to inaccurate MRmax measures. Finally, the changes in
body temperature during cold exposure may indicate that parasitized mice are
more willing to enter brief torpor under cold conditions
(Hill, 1983
;
Tannenbaum and Pivorun, 1988
).
This could be an adaptive plastic behavior employed by infected mice to avoid
situations that require sustained high energy output
(Hill, 1983
;
Vogt and Lynch, 1982
).
The results seen here mirror those found in many studies of parasitism in
rodents. Namely, organ damage often occurs in infected rodents but does not
translate to impacts for metabolism or performance
(Kristan, 2002
;
Kristan and Hammond, 2001
;
Meagher, 1998
;
Meagher and O'Connor, 2001
).
The lack of pronounced energetic detriments of parasitism suggests two
possible explanations. First, parasitism in rodents in general, and by S.
douthitti in deer mice in particular, may have small impacts on host
energetics, performance and fitness. While non-natural hosts infected with
S. douthitti suffer high fitness costs (i.e. mortality), some natural
hosts tolerate higher parasite loads and show reduced pathology
(Zajac and Williams, 1981
).
The energetic cost of most parasites is largely unknown. Bot flies infesting
Peromyscus leucopus consume only
1% of their host's energy
budget (Munger and Karasov,
1994
). This degree of impact is unlikely to hinder a host.
However, measuring the full energetic cost of parasite damage is more
difficult (Booth et al., 1993
;
Holmes and Zohar, 1990
). In
addition, apparently small effects of parasites may be exacerbated when the
host faces additional stressors (i.e. caloric restriction, cold acclimation,
multiple parasites) (Kristan and Hammond,
2001
; Wiger, 1977
;
Zuk, 1987
). Therefore, it is
problematic to conclude from lab-based research that parasites have no impact
on host energetics or fitness in the natural environment.
The second potential explanation involves phenotypic plasticity to
compensate for the costs of organ damage
(King and Murphy, 1985
). With
respect to the a priori predictions for S.
douthitti-infected deer mice, it appears that mice may largely compensate
for the costs of infection through plasticity in physiology and/or morphology,
leading to few alterations in metabolic measures. Deer mice have markedly
flexible metabolic rates. Cold-induced maximal metabolic rate changes with
season and increases during cold acclimation, even after a single exposure to
cold (Chappell and Hammond,
2004
; Hayes, 1989
;
Hayes and Chappell, 1986
;
Heimer and Morrison, 1978
;
Hill, 1983
;
Rezende et al., 2004
). These
increases in MRmax are typically correlated with increases in
energy consumption (Hammond and Kristan,
2000
; Hammond et al.,
2001
; Koteja,
1996a
), indicating that aerobic capacity is not strictly
constrained but is tuned to environmental demands. It is possible, therefore,
that the infected deer mice in this study were able to adjust aspects of their
physiology or behavior to maintain the same metabolic rates. Altered
thermoregulation via increased use of torpor (see above) may be a
compensatory mechanism used by deer mice to reduce parasitic impacts on
metabolic rates.
The costs of parasitism may partly be compensated for by alteration of GI
tract morphology. In other studies, infection by S. douthitti
typically leads to an inflammatory response in the intestines and diarrhea and
blood in the feces due to the presence and action of parasite eggs
(Zajac and Williams, 1981
).
The parasitized deer mice in this study also exhibited some degree of diarrhea
and blood in feces (L.E.S., personal observation), which may indicate that
nutrient and/or water uptake by the intestines were damaged by S.
douthitti eggs. Despite this potential organ damage, digestive efficiency
recorded here did not differ between treatments. Potentially, increases in the
mass of the GI tract in infected animals compensated for reduced digestive
function in the intestines, ultimately allowing equivalent levels of digestive
efficiency to those of uninfected mice. GI flexibility has previously been
recorded in response to reduced GI function in lab mice
(Kristan, 2002
;
Kristan and Hammond, 2000
;
Kristan and Hammond, 2001
),
providing precedence for such a response. In addition, previous studies have
demonstrated that deer mice show marked flexibility in the mass and length of
their GI tracts in response to increased energy demands or decreased food
quality (Green and Millar,
1987
; Hammond and Kristan,
2000
; Hammond et al.,
2001
; Koteja,
1996a
).
Differential investment in organs would be an interesting future area of research in this host-parasite system. Primarily, the plasticity suggested by data collected here needs to be confirmed by further study. In addition, increased investment in GI organs may demand decreased investment in other organs. Measurement of multiple organ systems may provide evidence for additional morphological plasticity.
Compensation does not appear to have involved changes in activity or
behavior. Deer mice often increase daily energy expenditure when faced with a
stressor (e.g. Hammond and Kristan,
2000
; Koteja,
1996a
; Millar,
1979
). There was no indication in this study that parasitized deer
mice increased food consumption or used body stores (i.e. mass) for
compensation. Lab mice have been shown to have reduced body fat when
parasitized, which may be due to use of energy stores
(Kristan and Hammond, 2000
;
Kristan and Hammond, 2001
).
Body composition was not analyzed in this study, but it may be worth
investigating. Finally, parasitized deer mice in this study did not conserve
energy by reducing their wheel activity, which was at levels similar to that
in other studies of deer mice (Chappell et
al., 2004
).
It is important to note that the potential compensation recorded here may only be possible in the lab under benign settings, or may be possible in the wild, but only with a survival or reproductive cost. Data on host life histories and data from the field would provide valuable information to consider more fully the results found in this study.
By examining a diversity of interrelated host phenotypes, this study
provides a fairly holistic view of the direct and indirect impacts of
schistosome infection on deer mice. The results suggest that deer mice may
compensate for the costs incurred by parasitism through physiological
plasticity, largely alleviating the ultimate fitness impacts. In natural and
lab settings, deer mice appear to employ a number of phenotypic plasticities
to cope with environmental stressors (e.g.
Chappell and Hammond, 2004
;
Kalcounis-Rueppell et al.,
2002
; Hammond and Kristan,
2000
). Phenotypic plasticity may represent an important mechanism
by which animals adjust to changes in the environment. Accordingly, the
relationship between changes in an animal's condition due, for example, to
infection with a parasite, and the animal's phenotype and fitness may not be
straightforward.
| Acknowledgments |
|---|
| Footnotes |
|---|
| References |
|---|
|
|
|---|
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