Previous Article | Next Article 
Applied and Environmental Microbiology, November 2001, p. 5063-5068, Vol. 67, No. 11
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.11.5063-5068.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Fungal Growth, Production, and Sporulation
during Leaf Decomposition in Two Streams
Keller
Suberkropp*
Department of Biological Sciences, University
of Alabama, Tuscaloosa, Alabama 35487-0206
Received 19 June 2001/Accepted 20 August 2001
 |
ABSTRACT |
I examined the activity of fungi associated with yellow poplar
(Liriodendron tulipifera) and white oak (Quercus
alba) leaves in two streams that differed in pH and
alkalinity (a hardwater stream [pH 8.0] and a softwater stream
[pH 6.7]) and contained low concentrations of dissolved nitrogen
(<35 µg liter
1) and phosphorus (<3 µg
liter
1). The leaves of each species decomposed faster in
the hardwater stream (decomposition rates, 0.010 and 0.007 day
1 for yellow poplar and oak, respectively) than in the
softwater stream (decomposition rates, 0.005 and 0.004 day
1 for yellow poplar and oak, respectively). However,
within each stream, the rates of decomposition of the leaves of the two
species were not significantly different. During the decomposition of leaves, the fungal biomasses determined from ergosterol concentrations, the production rates determined from rates of incorporation of [14C]acetate into ergosterol, and the sporulation rates
associated with leaves were dynamic, typically increasing to maxima and
then declining. The maximum rates of fungal production and sporulation associated with yellow poplar leaves were greater than the
corresponding rates associated with white oak leaves in the hardwater
stream but not in the softwater stream. The maximum rates of fungal
production associated with the leaves of the two species were higher in
the hardwater stream (5.8 mg g
1 day
1 on
yellow poplar leaves and 3.1 mg g
1 day
1 on
oak leaves) than in the softwater stream (1.6 mg g
1
day
1 on yellow poplar leaves and 0.9 mg g
1
day
1 on oak leaves), suggesting that effects of water
chemistry other than the N and P concentrations, such as pH or
alkalinity, may be important in regulating fungal activity in streams.
In contrast, the amount of fungal biomass (as determined from
ergosterol concentrations) on yellow poplar leaves was greater in the
softwater stream (12.8% of detrital mass) than in the hardwater stream
(9.6% of detrital mass). This appeared to be due to the decreased
amount of fungal biomass that was converted to conidia and released
from the leaf detritus in the softwater stream.
 |
INTRODUCTION |
Deciduous leaf litter is an
important energy source for the food webs in woodland streams
(7). However, leaf litter contains a number of plant
polymers that are not easily digested by animal consumers, so microbial
colonization and degradation are necessary to transform such detritus
into a suitable food source for detritivores (3). Both
fungi and bacteria colonize leaf litter after it enters streams and are
involved in its decomposition. The biomass of fungi associated with
leaf detritus is generally much higher than that of bacteria throughout
decomposition (1, 31), and in culture fungi cause changes
in leaf litter that are similar to those observed in streams
(22). These observations suggest that fungi are the
primary decomposers of leaves in streams. Some fungi also transform
leaf litter into a more palatable and nutritious food source for
invertebrate detritivores, indicating that fungi are also important
intermediaries of energy flow between the leaf detritus and higher
trophic levels (3).
The production of fungal biomass associated with decomposing leaf
litter has been difficult to measure since the somatic hyphae of the
fungi are immersed in the substrata that they are decomposing. The
biomass of higher fungi growing in plant litter can be estimated from
the concentrations of ergosterol, the major sterol associated with the
cell membranes of the fungi (11). In conjunction with using ergosterol as a biomass index, Newell and Fallon
(17) developed a method for estimating growth rates of
litter-decomposing fungi from rates of incorporation of radiolabeled
acetate into ergosterol. The production of fungal biomass can then be
calculated by determining the product of growth rate and biomass. Both
of these methods have been adapted for the fungi inhabiting streams (8, 10, 27).
Fungal activity associated with decomposing leaves is affected by the
concentrations of the nutrients N and P dissolved in stream water
(13, 21). The pH or alkalinity of the water also appears
to affect fungal activity, but its effects have been difficult to
interpret due to variations in the nutrient concentrations in the
hardwater and softwater streams that have been examined (2, 23,
26, 31). My major objective in the present study was to compare
fungal biomass and activity during leaf decomposition in two streams
that differed in pH or alkalinity but contained similar concentrations
of nutrients. I examined the activities of the fungi in a hardwater
stream (pH 8.0) and a softwater stream (pH 6.7), both of which
contained low concentrations of dissolved inorganic nitrogen (<35 µg
liter
1) and phosphorus (<3 µg
liter
1). I monitored fungal colonization of the
leaves of two species, yellow poplar (Liriodendron
tulipifera) and white oak (Quercus alba), to compare
the dynamics of fungal growth and production in relation to
decomposition rate. Fungal biomass associated with the leaves during
decomposition was estimated from ergosterol concentrations, fungal
growth rates were estimated from rates of incorporation of
[14C]acetate into ergosterol, and rates of
production were calculated by determining the product of growth rate
and biomass. As an additional index of fungal activity, the rates of
spore production associated with the leaves were determined.
 |
MATERIALS AND METHODS |
Study sites.
The study was carried out in the west fork of
Walker Branch (Anderson County, Tennessee; 35°58'N, 84°17'W), a
second-order, spring-fed, hardwater stream (6, 16), and in
Hugh White Creek (Macon County, North Carolina; 35°03'N, 83°26'W),
a second-order, softwater stream (12, 28). The mean
concentrations (ranges) of dissolved nutrients during the study in
Walker Branch were as follows: ammonium N, 2 µg
liter
1 (0 to 8 µg
liter
1); nitrate plus nitrite N, 18 µg
liter
1 (4 to 28 µg
liter
1); and soluble reactive phosphorus, 2 µg liter
1 (1 to 3 µg
liter
1). The mean pH was pH 8.0, and the pH
range was pH 7.8 to 8.2 (P. J. Mulholland, personal
communication). The mean concentrations (ranges) of dissolved nutrients
in Hugh White Creek were as follows: ammonium N, 2 µg
liter
1 (1 to 4 µg
liter
1); nitrate plus nitrite N, 10 µg
liter
1 (3 to 30 µg
liter
1); and soluble reactive phosphorus, <1
µg liter
1. The mean pH was pH 6.7, and the pH
range was pH 6.0 to 6.8 (J. Vose, personal communication). The mean
daily temperature in each stream was calculated from data collected
with temperature sensors (Ryan RTM 2000) which recorded the temperature
at 30-min intervals.
Litter bags.
Both yellow poplar leaves and white oak leaves
were collected near Oak Ridge National Laboratory as they were
naturally shed in the autumn, and they were air dried. Litter bags were
made from fiberglass screening (1- by 1-mm mesh) into which two leaves of the same species were placed. For the litter bags that were to be
used to determine decomposition rates, the leaves were weighed before
they were placed in the bags. The litter bags were each attached to one
of three plastic pipes that were placed on the bottom of each stream
and anchored to concrete blocks. Litter bags were placed in Walker
Branch on 7 November 1994 and in Hugh White Creek on 19 November 1994 and were removed at intervals thereafter. On each sampling date, litter
bags containing leaves of each species were removed from each of the
triplicate pipes in each stream and processed at the side of the
stream. Leaves that had been preweighed were rinsed in stream water to
remove debris and placed in containers on ice. These leaves were later dried at 60°C to a constant weight and ground with a Wiley mill, and
a subsample of each sample was ignited at 500°C to determine the ash
content. These leaves were used to determine the ash-free dry mass
(AFDM) remaining for calculations of decomposition rates and nitrogen
contents with a CHN analyzer (Carlos Erba). When leaves were placed in
the streams, three litter bags for each species from each stream were
dried, ashed, and weighed as described above to determine the factor
used to convert the initial leaf air-dried weight to AFDM.
At each sampling time, triplicate litter bags for each species that had
not been preweighed were also removed from the stream. The leaves were
rinsed with stream water and subsampled at streamside by removing leaf
disks (diameter, 11.6 mm) that were used for determinations of rates of
incorporation of acetate into ergosterol, ergosterol concentrations,
and sporulation rates. Five leaf disks were dried at 60°C and ignited
at 500°C to determine the AFDM per disk in order to standardize other
measurements on an AFDM basis.
Rates of incorporation of acetate into ergosterol.
The
growth rates of fungi associated with leaves were determined from
acetate incorporation into ergosterol by the method proposed by Newell
and Fallon (17) and modified for stream fungi (27). Five leaf disks from each replicate litter bag were
placed in tubes containing 4.0 ml of filtered (0.45-µm-pore size
membrane filters) stream water to which sodium
[14C]acetate (final specific activity, 48.5 MBq/mmol; ICN) was added to a final concentration of 5 mM. The tubes
were incubated in a rack placed in the stream for 3 h with
aeration (20 to 30 ml/min for each tube). Incubation was stopped by
placing the tubes on ice and filtering leaf disks and particulate
matter onto glass fiber filters (934/AH), which were placed in 5 ml of
methanol, transported to the laboratory, and stored at
20°C until
ergosterol was extracted. For the leaves of each species, the
fungi in one tube were killed by adding formaldehyde (final
concentration, 2%) and incubated with
[14C]acetate to determine the background levels
of radiation associated with ergosterol.
Ergosterol was extracted from leaf disks by refluxing in alcoholic KOH
(25 ml of methanol plus 5 ml of 4% KOH in 95% methanol)
at 80°C for
30 min (
18,
27). The leaf disks were removed,
and the
extract was transferred to tubes. Water (10 ml) and pentane
(10 ml)
were added, and the tubes were rotated for 3 min at 20
rpm with a mixer
(Rotamix). The pentane fraction and two successive
5-ml aliquots of
pentane mixed in the same way were then evaporated
under a stream of
N
2 at 30°C. The residue was dissolved in 1.0
ml
of methanol and filtered (pore size, 0.45 µm; Acrodisc). Samples
were
later injected into a high-performance liquid chromatograph
(Shimadzu)
with a Whatman partisphere C
18 column
(length, 25 cm;
diameter, 0.46 cm) by using methanol as the mobile
phase (flow
rate, 1 ml min
1); the detector was
set at 282 nm. A fraction collector (Advantec)
that detected changes in
the signal coming from the detector was
used to collect ergosterol
peaks. The radioactivity in the ergosterol
fraction was determined for
samples mixed with 10 ml of scintillation
fluid (Ecolume) by using a
scintillation counter (Beckman) that
had been programmed to correct for
quenching. The rates of incorporation
of acetate into ergosterol were
calculated from the radioactivity
in the ergosterol fraction and were
converted to instantaneous
growth rates by multiplying by the
empirically derived conversion
factor determined for three aquatic
hyphomycete species (19.5
µg of fungal biomass/nmol of acetate
incorporated) (
27). To
convert the ergosterol content to
fungal biomass, a factor of
5.5 mg of ergosterol/g of fungal biomass
(
8) was used. Fungal
production (
P) was
calculated from
P = µ
B, where µ is the
instantaneous
specific growth rate and
B is the fungal
biomass.
Sporulation rates.
To determine sporulation rates, 10 leaf
disks from each replicate were brought back to the laboratory and
placed in 40 ml of filtered (0.45-µm-pore-size membrane filters)
stream water in aeration chambers (22). The chambers were
aerated with 100 ml of air/min for 24 h at 15°C, and aliquots of
the water were filtered through membrane filters (5-µm-pore-size
membrane filters, two filters for each replicate), fixed, and stained
with 0.1% trypan blue in lactic acid. Conidia on the filters (25 fields at a magnification of ×160) were identified and counted.
Statistical analysis.
Decomposition rates (k)
were calculated by nonlinear regression (Systat for Windows, version 9)
by using the model
mt/m0 = e
kt,
where mt is the
AFDM remaining at time t (in days) and
m0 is the initial AFDM
(5). To calculate decomposition rates on a degree day
basis (k'), time t' (in degree days) was used.
Differences in k determined from linear regressions of
ln-transformed data were detected by analysis of covariance, followed
by Tukey's comparison (32). Ergosterol contents, fungal
production, and sporulation were examined within each stream by
repeated measures analysis of variance (ANOVA), and these parameters
were examined for types of leaves and streams by performing one-way
ANOVA of maximum values. P values less than 0.05 were
considered significant. Values are expressed below as means ± standard errors of the means.
 |
RESULTS |
Both types of leaves decomposed faster in Walker Branch than in
Hugh White Creek (P < 0.05, as determined by analysis
of covariance) (Table 1). In both
streams, yellow poplar leaves decomposed at higher rates than white oak
leaves, although the difference between species was not significant in
either stream (Fig. 1 and Table 1).
During the study, the mean daily temperatures of the water in Hugh
White Creek were lower than those in Walker Branch (Fig. 2). The mean temperatures for the entire
study were 7.0°C for Hugh White Creek and 10.9°C for Walker Branch.
When decomposition rates were calculated by using degree days to
account for temperature differences, the rates of decomposition of the
two types of leaves were higher in Walker Branch than in Hugh White
Creek, but the difference between the streams for each species was not
significant (Table 1).

View larger version (20K):
[in this window]
[in a new window]
|
FIG. 1.
AFDM of leaf detritus remaining in the two streams.
Symbols: , means for white oak; , means for yellow poplar. The
error bars indicate standard errors of the means.
|
|
In Hugh White Creek, the ergosterol concentrations for yellow poplar
leaves increased faster than the ergosterol concentrations for white
oak leaves (as determined by repeated measures ANOVA) (Fig.
3). In Walker Branch, the ergosterol
concentrations associated with yellow poplar leaves increased without a
lag and leveled off sooner than the ergosterol concentrations
associated with white oak leaves. However, the maximum ergosterol
concentrations for yellow poplar leaves were slightly lower than those
for oak leaves in Walker Branch. For all leaves the maximum fungal
biomass was ca. 10% of the total detrital mass (in Hugh White Creek,
12.8% of yellow poplar mass and 7.9% of white oak mass; in Walker
Branch, 9.6% of yellow poplar mass and 10.6% of white oak mass), and
the values were not significantly different. The ergosterol
concentrations for both types of leaves reached maximum values sooner
in Walker Branch (57 days) than in Hugh White Creek (93 days).

View larger version (21K):
[in this window]
[in a new window]
|
FIG. 3.
Ergosterol concentrations (expressed in micrograms per
gram of leaf detritus AFDM) associated with leaves during decomposition
in the two streams. Symbols: , means for white oak; , means for
yellow poplar. The error bars indicate standard errors of the means.
|
|
The initial nitrogen content of yellow poplar leaves (0.88%) was
slightly higher than that of white oak leaves (0.77%). During decomposition, the nitrogen contents of all leaves increased
(Fig. 4). The maximum nitrogen
concentrations were higher in yellow poplar leaves (1.60% in Walker
Branch, 1.76% in Hugh White Creek) than in white oak leaves (1.44% in
Walker Branch, 1.26% in Hugh White Creek).

View larger version (15K):
[in this window]
[in a new window]
|
FIG. 4.
Nitrogen concentrations (expressed as a percentage of
leaf AFDM) associated with leaves during decomposition in the two
streams. Symbols: , means for white oak; , means for yellow
poplar. The error bars indicate standard errors of the means.
|
|
In Walker Branch, the rates of fungal production determined from rates
of incorporation of [14C]acetate into
ergosterol and biomass were highest during the first 30 days that
leaves were in the stream (Fig. 5) and
then declined to low levels throughout the rest of the study. The rates of production remained relatively constant in Hugh White Creek. The
fungal production associated with yellow poplar leaves was significantly greater than that associated with white oak leaves in
Walker Branch but not in Hugh White Creek during the first 30 days (as
determined by repeated measures ANOVA). The maximum growth rates were
higher in Walker Branch (9.4%/day on yellow poplar, 5.6%/day on white
oak) than in Hugh White Creek (2.2%/day on yellow poplar, 1.4%/day on
white oak), as determined by ANOVA.

View larger version (19K):
[in this window]
[in a new window]
|
FIG. 5.
Rates of fungal production (expressed in milligrams of
fungus per gram of leaf detritus AFDM per day) associated with leaves
during decomposition in the two streams. Symbols: , means for white
oak; , means for yellow poplar. The error bars indicate standard
errors of the means.
|
|
The patterns of spore production also differed in the two streams (Fig.
6). The maximum rates of sporulation (per
milligram of AFDM of leaves) were highest for yellow poplar leaves in
Walker Branch after leaves had been in the stream for 21 to 28 days and were higher than the maximum rates of sporulation for all other treatments. The maximum rates of sporulation for white oak leaves in
Walker Branch were approximately one-half those for yellow poplar
leaves and occurred after the leaves had been in the stream for 40 to
60 days (Fig. 6). In Hugh White Creek, the maximum rates of sporulation
for the two species were similar, were less than one-half the maximum
rate of sporulation for oak leaves in Walker Branch, and occurred after
the leaves had been in the stream for 93 days. Overall, the sporulation
rates were not significantly different for the two leaf types in either
stream (as determined by repeated measures ANOVA). When the sporulation
rates were calculated on the basis of the fungal biomass (ergosterol
concentrations) associated with the leaves, the sporulation rates for
yellow poplar and white oak leaves were similar and both exhibited
maxima after 21 days (960 and 1,080 spores µg
of ergosterol
1 day
1,
respectively) (data not shown). The sporulation rates based on
ergosterol concentrations through the first 73 days were also similar
for the two types of leaves in Hugh White Creek. In this stream, the
maximum rates of sporulation were only 100 and 180 spores
µg of ergosterol
1
day
1 on yellow poplar and white oak leaves,
respectively. Although the same fungal species sporulated on both
yellow poplar and white oak leaves in Walker Branch, the species that
was dominant varied (Table 2). On yellow
poplar leaves, Tetracladium marchalianum was the dominant
species, followed by Lunulospora curvula. On oak leaves,
L. curvula accounted for more than 90% of the conidia produced. Other than Alatospora acuminata, which occurred in
both streams, the species that occurred on leaves in Hugh White Creek differed from those that occurred on leaves in Walker Branch. Articulospora tetracladia and Flagellospora
curvula were the dominant species on both types of leaves in this
stream (Table 2).

View larger version (22K):
[in this window]
[in a new window]
|
FIG. 6.
Sporulation rates (expressed in number of spores
produced per milligram of leaf detritus AFDM per day) associated with
leaves during decomposition in the two streams. Symbols: , means for
white oak; , means for yellow poplar. The error bars indicate
standard errors of the means.
|
|
View this table:
[in this window]
[in a new window]
|
TABLE 2.
Aquatic hyphomycete community compositions for leaves
from the streams at the time when maximum sporulation rates occurred
|
|
 |
DISCUSSION |
The breakdown rates which I determined for yellow poplar and white
oak leaves are within the ranges that have been reported for these
species in other studies (26, 30). White oak leaves typically decompose more slowly than yellow poplar leaves. I found this
trend in both streams, but the rates of decomposition of the two types
of leaves were not significantly different. One reason for this may
have been the presence of leaf-shredding invertebrates that invaded
litter bags during the later stages of decomposition. Although I used a
relatively fine-mesh screen (1 by 1 mm) to prevent invertebrates from
consuming leaves, this strategy was not totally successful. In some
litter bags, particularly late in the decomposition sequence,
skeletonization of leaves indicative of invertebrate feeding was noted.
Invertebrates (Trichoptera and Plecoptera in Hugh White Creek,
Trichoptera and Amphipoda in Walker Branch) were also found in a few
litter bags.
When yellow poplar leaves were placed in Hugh White Creek, they lost
19% of their AFDM in the first day (Fig. 1). This loss was presumably
due to leaching; however, yellow poplar leaves in Walker Branch lost
only 8% of their AFDM during the first 2 days that they were in the
stream. Since the leaves placed in the two streams came from the same
collection, this suggests that the lower pH of the water in Hugh White
Creek resulted in greater losses due to leaching of leaves in this
creek than in Walker Branch.
The acetate-to-ergosterol method for estimating fungal production has
been used in studies of leaf decomposition in streams and appears to
provide reasonable estimates of the rates of fungal production
(10, 31). During the initial period of decomposition when
fungi are colonizing leaf material and fungal biomass is increasing,
growth rates calculated from changes in ergosterol content are
correlated and show general agreement with growth rates determined from
rates of incorporation of acetate into ergosterol (23,
25). In the present study, these two methods of determining growth rates also produced similar results. The ratios of the growth
rates determined from changes in ergosterol concentrations during the
initial periods of increase to the growth rates calculated from rates
of incorporation of acetate into ergosterol over the same time periods
were 0.5 (yellow poplar) and 0.9 (white oak) in Walker Branch and 1.7 (yellow poplar) and 3.4 (white oak) in Hugh White Creek
(25). The lower values for Walker Branch appear to be due
to the fact that in this stream more biomass was being converted into
conidia that were released from the leaves, whereas in Hugh White Creek
very little sporulation occurred during the period when the ergosterol
content was increasing. In addition, the average temperature during the
incubations with [14C]acetate in Walker Branch
(12.9°C) was higher than the average of the mean daily temperatures
during this period (11.6°C), whereas the average incubation
temperature in Hugh White Creek (5.5°C) was slightly lower than the
average of the mean daily temperatures (6.3°C) for the corresponding
period. These temperature differences should have contributed to the
fact that the growth rates calculated from changes in ergosterol
content were less than the growth rates determined from the rates of
acetate incorporation in Walker Branch and greater than the growth
rates determined from the rates of acetate incorporation in Hugh White Creek.
After leaves entered the streams, particularly Walker Branch,
the changes in fungal activity were dynamic, and the levels of
growth and activity reached maximum values early in the decomposition process. As leaves became more degraded, fungal biomass and activity (production and sporulation) declined. These patterns of changes in
biomass and sporulation are similar to those found associated with
leaves decomposing in other streams (9, 23, 26, 31). The
maximum amounts of ergosterol associated with leaves in Walker Branch
and Hugh White Creek (450 to 700 µg g
1) are
generally in the range found in other streams (400 to 900 µg
g
1), including streams with moderate to high
concentrations of N and P (9, 23, 31). However, the
maximum rates of fungal production associated with yellow poplar leaves
in the present study (1.1 to 5.8 mg g
1
day
1) are lower than those reported for other
streams with moderate to high concentrations of nutrients in which this
parameter has been measured (6.5 to 16 mg g
1
day
1) (23, 31). The maximum
sporulation rates (80 to 450 conidia mg
1
g
1) are also generally lower than those
reported for streams with moderate to high concentrations of N and P
(100 to 6,000 conidia mg
1
g
1) (9, 23, 26). Consequently, it
appears that when aquatic hyphomycetes are provided with higher
concentrations of N and P in the water, they exhibit higher levels of
production and shunt more of the production into sporulation. Increased
sporulation has also been observed in experiments in which nutrients
were added to decomposing leaves in both field (13) and
laboratory studies (21, 24).
Of the parameters measured in the present study, the rates of fungal
production and sporulation differed the most when the values for the
two streams were compared. Initially, both these activities were much
higher in Walker Branch, the hardwater stream, than in Hugh White
Creek, the softwater stream. The rates of production and sporulation
for both types of leaves in Hugh White Creek increased later in the
decomposition process and never reached values comparable to those
obtained for Walker Branch. In both streams, however, increases in the
rates of production preceded or coincided with increases in the rates
of sporulation. It appears that a considerable fraction of the fungal
production in Walker Branch was converted into conidia that were
released from the leaves for downstream colonization. This would
explain the observation that the ergosterol content of yellow poplar
leaves in Walker Branch did not reach the levels observed for yellow
poplar leaves in Hugh White Creek. In Walker Branch, a significant
proportion of the biomass was released as conidia, and examination of
changes in biomass as measured by ergosterol concentrations associated
with the leaves would not have detected this extra production. Since
fungal conidia are typically rich in proteins and nucleic acids, the
greater rates of sporulation for leaves in Walker Branch also suggest that the amounts of total nitrogen associated with leaves in this stream would have been larger if the sporulation rates had been lower.
Under certain conditions, sporulation can be a significant fate
of biomass. For example, in cultures in which leaf material has been
the sole carbon source, species of aquatic hyphomycetes have been found
to allocate 44 to 81% of their total production to conidia (10,
22).
The differences in production and sporulation between the two streams
were apparently not due to differences in the inorganic N and P
dissolved in the water since both streams had very low concentrations
of these nutrients. Even though the nutrient concentrations in Walker
Branch were slightly higher than those in Hugh White Creek, both N and
P have been shown to limit decomposition rates and fungal activity in
Walker Branch (13). Hugh White Creek was cooler by an
average of 4°C than Walker Branch, and this could explain why the
activity in Hugh White Creek was somewhat lower than that in Walker
Branch. The rates of decomposition of the leaves were also lower in the
softwater stream (Hugh White Creek) than in the hardwater stream
(Walker Branch) and remained lower (but not significantly lower) when
differences in temperature were taken into account by determining
decomposition rates on a degree day basis. Another factor which could
have contributed to differences in production and sporulation is the pH
or alkalinity of the streams. Differences in pH or alkalinity affect
the fungal species present (2, 26), and the streams
examined in the present study contained species typical of soft- and
hardwater streams; for example, A. tetracladia is common in
softwater streams, T. marchalianum is common in hardwater
streams, and A. acuminata is common in both types of
streams. L. curvula can be found in both types of streams
(26) but appears to be limited by cold temperatures, which
may explain its absence from Hugh White Creek. It does not appear
likely that these differences in species composition contributed to the
differences in activity observed in the present study, since species
isolated from hardwater and softwater streams exhibit similar
activities when they are grown on leaves in culture (22).
Differences in sporulation and production similar to those seen in the
present study have been noted in comparisons of hardwater and softwater
streams previously (23, 31), but variations in the N and P
concentrations among streams also occurred and were thought to be
primarily responsible for these differences. In culture, aquatic
hyphomycetes grow at a broad range of pH values and are generally
inhibited as the pH increases above neutral (19). However,
in streams, pH has been shown to have variable effects on
decomposition. In some studies, decomposition rates have been found to
increase as the pH increases (4, 20, 29), whereas in other
studies, the decomposition rates in streams at pH 5.9 to 6.2 have been
found to be greater than the decomposition rates in streams with pH
values greater than 7.5 (14, 15). Increased fungal
activity is generally found in hardwater streams with a pH of 7.5 or
higher in comparison to softwater streams with a pH of 7 or less
(4, 20, 26). Data obtained in the present study support
this conclusion and suggest that additional data are needed to more
fully understand the effects of pH and alkalinity on the fungi
colonizing leaves in streams.
 |
ACKNOWLEDGMENTS |
I thank V. Gulis for comments on the manuscript. I am grateful to
P. J. Mulholland for allowing me to perform studies in his laboratory, for facilitating access to Oak Ridge National Laboratory and Walker Branch in the Oak Ridge National Environmental Research Park, and for providing water chemistry data for Walker Branch. I thank
Wayne Swank for allowing me to perform studies in the Coweeta
Hydrologic Laboratory of the U.S. Forest Service and James Voss for
providing water chemistry data for Hugh White Creek.
This study was supported by grant DEB 9407232 from the National Science Foundation.
 |
FOOTNOTES |
*
Mailing address: Department of Biological Sciences,
University of Alabama, Tuscaloosa, AL 35487-0206. Phone: (205)
348-1795. Fax: (205) 348-1403. E-mail:
ksuberkp{at}biology.as.ua.edu.
 |
REFERENCES |
| 1.
|
Baldy, V.,
M. O. Gessner, and E. Chauvet.
1995.
Bacteria, fungi and the breakdown of leaf litter in a large river.
Oikos
74:93-102.
|
| 2.
|
Bärlocher, F.
1982.
Conidium production from leaves and needles in four streams.
Can. J. Bot.
60:1487-1494.
|
| 3.
|
Bärlocher, F.
1985.
The role of fungi in the nutrition of stream invertebrates.
Bot. J. Linn. Soc.
91:83-94.
|
| 4.
|
Chamier, A.-C.
1992.
Water chemistry, p. 152-172.
In
F. Bärlocher (ed.), The ecology of aquatic hyphomycetes. Springer Verlag, Berlin, Germany.
|
| 5.
|
Chauvet, E.
1987.
Changes in the chemical composition of alder, poplar and willow leaves during decomposition in a river.
Hydrobiology
148:35-44[CrossRef].
|
| 6.
|
Elwood, J. W., and R. R. Turner.
1989.
Streams: water chemistry and ecology, p. 301-350.
In
D. W. Johnson, and R. I. Van Hook (ed.), Analysis of biogeochemical cycling processes in Walker Branch watershed. Springer Verlag, New York, N.Y.
|
| 7.
|
Fisher, S. G., and G. E. Likens.
1973.
Energy flow in Bear Brook, New Hampshire: an integrative approach to stream ecosystem metabolism.
Ecol. Monogr.
43:421-439[CrossRef].
|
| 8.
|
Gessner, M. O., and E. Chauvet.
1993.
Ergosterol-to-biomass conversion factors for aquatic hyphomycetes.
Appl. Environ. Microbiol.
59:502-507[Abstract/Free Full Text].
|
| 9.
|
Gessner, M. O., and E. Chauvet.
1994.
Importance of stream microfungi in controlling breakdown rates of leaf litter.
Ecology
75:1807-1817[CrossRef].
|
| 10.
|
Gessner, M. O., and E. Chauvet.
1997.
Growth and production of aquatic hyphomycetes in decomposing leaf litter.
Limnol. Oceanogr.
42:496-505.
|
| 11.
|
Gessner, M. O., and S. Y. Newell.
1997.
Bulk quantitative methods for the examination of eukaryotic organoosmotrophs in plant litter, p. 295-308.
In
C. J. Hurst, G. R. Knudsen, M. J. McInerney, L. D. Stetzenbach, and M. V. Walter (ed.), Manual of environmental microbiology. American Society for Microbiology, Washington, D.C.
|
| 12.
|
Golladay, S. W.,
J. R. Webster, and E. F. Benfield.
1989.
Changes in stream benthic organic matter following watershed disturbance.
Holarct. Ecol.
12:96-105.
|
| 13.
|
Grattan, R. M., and K. Suberkropp.
2001.
Effects of nutrient enrichment on yellow poplar leaf decomposition and fungal activity in streams.
J. N. Am. Benthol. Soc.
20:33-43[CrossRef].
|
| 14.
|
Griffith, M. B., and S. A. Perry.
1994.
Fungal biomass and leaf litter processing in streams of different water chemistry.
Hydrobiology
294:51-61[CrossRef].
|
| 15.
|
Griffith, M. B.,
S. A. Perry, and W. B. Perry.
1995.
Leaf litter processing and exoenzyme production on leaves in streams of different pH.
Oecologia
102:460-466[CrossRef].
|
| 16.
|
Mulholland, P. J.
1992.
Regulation of nutrient concentrations in temperate forest stream: roles of upland, riparian, and instream processes.
Limnol. Oceanogr.
37:1512-1526.
|
| 17.
|
Newell, S. Y., and R. D. Fallon.
1991.
Toward a method for measuring instantaneous fungal growth rates in field samples.
Ecology
72:1547-1559[CrossRef].
|
| 18.
|
Newell, S. Y.,
T. L. Arsuffi, and R. D. Fallon.
1988.
Fundamental procedures for determining ergosterol content of decaying plant material by liquid chromatography.
Appl. Environ. Microbiol.
54:1876-1879[Abstract/Free Full Text].
|
| 19.
|
Rosset, J., and F. Bärlocher.
1985.
Aquatic hyphomycetes: influence of pH, Ca2+ and HCO3 on growth in vitro.
Trans. Br. Mycol. Soc.
84:137-145.
|
| 20.
|
Rosset, J.,
F. Bärlocher, and J. J. Oertli.
1982.
Decomposition of conifer needles and deciduous leaves in two Black Forest and two Swiss Jura streams.
Int. Rev. Gesamten Hydrobiol.
67:695-711.
|
| 21.
|
Sridhar, K. R., and F. Bärlocher.
2000.
Initial colonization, nutrient supply, and fungal activity on leaves decaying in streams.
Appl. Environ. Microbiol.
66:1114-1119[Abstract/Free Full Text].
|
| 22.
|
Suberkropp, K.
1991.
Relationships between growth and sporulation of aquatic hyphomycetes on decomposing leaf litter.
Mycol. Res.
95:843-850.
|
| 23.
|
Suberkropp, K.
1995.
The influence of nutrients on fungal growth, productivity, and sporulation during leaf breakdown in streams.
Can. J. Bot.
73(Suppl. 1):S1361-S1369.
|
| 24.
|
Suberkropp, K.
1998.
Effect of dissolved nutrients on two aquatic hyphomycetes growing on leaf litter.
Mycol. Res.
102:998-1002[CrossRef].
|
| 25.
| Suberkropp, K. Estimating production of
litter-decomposing fungi in streams from rates of acetate incorporation
into ergosterol. Verh. Int. Verein. Limnol., in press.
|
| 26.
|
Suberkropp, K., and E. Chauvet.
1995.
Regulation of leaf breakdown by fungi in streams: influences of water chemistry.
Ecology
76:1433-1445[CrossRef].
|
| 27.
|
Suberkropp, K., and H. S. Weyers.
1996.
Application of fungal and bacterial production methodologies to decomposing leaves in streams.
Appl. Environ. Microbiol.
62:1610-1615[Abstract].
|
| 28.
|
Swank, W. T., and J. B. Waide.
1988.
Characterization of baseline precipitation and stream chemistry and nutrient budgets for control watersheds, p. 57-79.
In
W. T. Swank, and D. A. Crossley, Jr. (ed.), Forest hydrology and ecology at Coweeta. Springer Verlag, New York, N.Y.
|
| 29.
|
Thompson, P. L., and F. Bärlocher.
1989.
Effect of pH on leaf breakdown in streams and in the laboratory.
J. N. Am. Benthol. Soc.
8:203-210[CrossRef].
|
| 30.
|
Webster, J. R., and E. F. Benfield.
1986.
Vascular plant breakdown in freshwater ecosystems.
Annu. Rev. Ecol. Syst.
17:567-594[CrossRef].
|
| 31.
|
Weyers, H. S., and K. Suberkropp.
1996.
Fungal and bacterial production during the breakdown of yellow poplar leaves in 2 streams.
J. N. Am. Benthol. Soc.
15:408-420[CrossRef].
|
| 32.
|
Zar, J. H.
1984.
Biostatistical analysis, 2nd ed.
Prentice Hall, Englewood Cliffs, N.J.
|
Applied and Environmental Microbiology, November 2001, p. 5063-5068, Vol. 67, No. 11
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.11.5063-5068.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.