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Applied and Environmental Microbiology, January 1999, p. 264-269, Vol. 65, No. 1
0099-2240/99/$00.00+0
Pleiotropic Effects of Adaptation to a Single
Carbon Source for Growth on Alternative Substrates
Gregory J.
Velicer*
Center for Microbial Ecology, Michigan State
University, East Lansing, Michigan 48824
Received 17 August 1998/Accepted 8 October 1998
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ABSTRACT |
It is frequently assumed that populations of genetically modified
microorganisms will perform their intended function and then disappear
from the environment due to inherent fitness disadvantages resulting
from their genetic alteration. However, modified organisms used in
bioremediation can be expected to adapt evolutionarily to growth on the
anthropogenic substrate that they are intended to degrade. If such
adaptation results in improved competitiveness for alternative,
naturally occurring substrates, then this will increase the likelihood
that the modified organisms will persist in the environment. In this
study, bacteria capable of degrading the herbicide
2,4-dichlorophenoxyacetic acid (2,4-D) were used to test the effects of
evolutionary adaptation to one substrate on fitness during growth on an
alternative substrate. Twenty lineages of bacteria were allowed to
evolve under abundant resource conditions on either 2,4-D or succinate
as their sole carbon source. The competitiveness of each evolved line
was then measured relative to that of its ancestor for growth on both
substrates. Only three derived lines showed a clear drop in fitness on
the alternative substrate after demonstrable adaptation to their
selective substrate, while five derived lines showed significant
simultaneous increases in fitness on both their selective and
alternative substrates. These data demonstrate that adaptation to an
anthropogenic substrate can pleiotropically increase competitiveness
for an alternative natural substrate and therefore increase the
likelihood that a genetically modified organism will persist in the environment.
 |
INTRODUCTION |
Biological traits that are not
important components of fitness in a particular environment may
nonetheless evolve by a variety of mechanisms. Such mechanisms include
pleiotropic side effects of adaptive mutations on unselected traits
(43), the random fixation of effectively neutral alleles by
genetic drift (19), and "hitchhiking" of neutral
mutations due to genetic linkage with an adaptive mutation (16,
31). Along with adaptation by natural selection, these more
indirect mechanisms of evolution are relevant to such issues as the
genetic divergence of populations within a species (8, 43)
and the fate of genetically modified organisms in natural environments
(25, 36, 37, 40).
Several studies have shown that isolated populations of the same
species may evolve different adaptations even to the same selective
conditions. Some of the clearest evidence for this phenomenon comes
from laboratory experiments using fruitflies (9, 18) and
bacteria (42, 43). Alternative pathways of adaptation to a
particular selective environment may lead to heterogeneous changes in
traits that are not important for fitness in that environment. For
example, several populations of organisms that are under selective pressure to use a particular substrate more efficiently may each find a
different physiological mechanism to do so. The effects of these
different adaptations on the ability of organisms to use some
alternative substrate may be positive in some cases, neutral in others,
and negative in yet others. As a consequence of these different
correlated responses, some populations may be fortuitously well adapted
and others may be poorly adapted to environments that contain this
alternative substrate.
Of particular relevance to these concerns is the effect that
evolutionary adaptation by bioremediative organisms to their intended
anthropogenic substrate has on their abilities to grow on, and compete
for, naturally occurring substrates. If adaptation to an anthropogenic
substrate always leads to a reduction in fitness on natural substrates,
then this reduced fitness provides a measure of safety for the release
of organisms modified for bioremediation. If, however, such adaptation
indirectly enhances fitness on natural substrates, then this enhanced
fitness increases the likelihood that the released organisms (and any
adverse effects they may cause) will persist in the environment.
In this study, evolving populations of bacteria were used to
investigate the effect of adaptation to one carbon source on competitive performance on an alternative substrate. The bacterial strains employed were two natural isolates of the
-proteobacteria (genus Burkholderia), each capable of degrading the
anthropogenic herbicide 2,4-dichlorophenoxyacetic acid (2,4-D)
(32, 41). Experimental evolution occurred in two separate
stages, one in which succinate was the sole carbon source and one in
which 2,4-D was the limiting substrate (Fig.
1). This two-stage design was employed to
allow a period during which any major adaptations to general selective
conditions other than the carbon substrate could occur (stage I on
succinate) prior to subsequent evolution on the selective substrate of
primary interest, 2,4-D. Allowing any such general adaptation first
should maximize the degree of substrate-specific adaptation on 2,4-D.
Previous evolution experiments also using 2,4-D-degrading bacteria have
been conducted to investigate the role of environmental structure in
adaptation and the genetic divergence of multiple populations evolving
independently in identical habitats (21, 22, 23).

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FIG. 1.
Derivation of bacterial strains. Horizontal lines
indicate periods of evolution, with the selective regimen and sole
carbon source indicated above and below, respectively. Each horizontal
line represents two independently evolved replicate populations. F and
S represent the fast and slow ancestral strains, respectively. For
stage I-derived strains, the first letter (F or S) indicates the
ancestor and the second letter (B or C) indicates whether stage I
evolution occurred in batch (B) or chemostat (C) cultures. The letter r
indicates streptomycin resistance (see Materials and Methods). The
first two letters for stage II evolution strains indicate their stage
I-proximate ancestor, and the third letter (B) indicates stage II
evolution in batch culture.
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In stage I of the experimental evolution, two ancestral strains were
used to found replicate lines that were propagated in batch culture
with succinate (a naturally occurring substrate) as the sole carbon
source (Fig. 1). One of these strains (strain F) grows relatively fast
under laboratory conditions, whereas the other (strain S) grows more
slowly (42). In stage II of the evolution experiment, clonal
isolates derived from the stage I batch culture lines were used to
found replicate lines that were further propagated in batch culture
with 2,4-D as the sole carbon source (Fig. 1). Additional stage II
batch lines were founded with clones from stage I lines that had
undergone evolution in a different selective regimen, chemostat culture
(45). (These stage I lines were also involved in a sibling
study of the effects of adaptation to either batch culture [an
abundant-resource regimen] or chemostat culture [a scarce-resource
regimen] on fitness in the alternative selective regimen)
(45). The competitive performances of all of these derived
lines were then measured relative to those of their immediate ancestors
on both succinate and 2,4-D. The results of these experiments
demonstrated that adaptation to either substrate can be associated with
both improvements and losses in competitive performance on the
alternative substrate.
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MATERIALS AND METHODS |
Strains.
For simplicity, the designations of the two
ancestral strains in this study were changed from those used in
previous literature (strain F was TFD3, and strain S was TFD20), in
which their 2,4-D catabolic pathways were genetically and
phylogenetically characterized (32, 41).
Evolution experiments. (i) Stage I batch evolution.
Two
clones each from strains F and S were inoculated independently into 10 ml of a mineral salts medium (45) containing 500 µg of
succinate per ml and grown to stationary phase while being shaken at
120 rpm. These lines were designated FB1, FB2, SB1, and SB2, with the
first and second letters indicating ancestral strain (F or S) and
selective regimen (batch), respectively, and with the numbers
distinguishing replicate lines (Fig. 1). The four lines were then
diluted daily into fresh medium for 75 days (see Table
1 for dilution factors and numbers of
generations evolved for all selection experiments). Dilution factors
were set to allow complete population replacement in 24 h with
minimal time spent in stationary phase. All cultures were maintained at 25°C in all experiments.
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TABLE 1.
Dilution factors for batch evolution and competition
experiments and numbers of generations evolved (during the most recent
stage of evolution)a
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(ii) Stage I chemostat evolution.
Two initially clonal lines
from each ancestor were also evolved in chemostats for 75 days during
stage I, where fresh medium containing succinate as the sole carbon
source continually flowed into culture vessels and culture volume was
kept constant by continuous vacuum removal of excess culture
(45). These lines were designated FC1, FC2, SC1, and SC2,
where C indicates a chemostat selection history. These
chemostat-evolved lines were competed against their ancestors in a
different study (which tested for a trade-off between fitness at high
and low substrate concentrations [45]) but not in this
study. For logistical reasons, only strains that experienced the batch
culture regimen during their most recent stage of evolution were
competed against their ancestors in this study. Thus, the stage I
chemostat-evolved strains served as the proximate ancestors for half of
the stage II batch lines but not as evolved strains for analysis in
their own right. Use of these strains as stage II ancestors (rather
than simply initiating more replicate lines from the stage I batch
clones) allowed a greater chance of detecting patterns of adaptation
specific to distinct selective histories.
(iii) Stage I clones.
Single clones were isolated from each
of the eight stage I evolved lines. The four batch-evolved clones (FB1,
FB2, SB1, and SB2) were compared to their ancestors in competition
experiments described below. In addition, a spontaneous
streptomycin-resistant sister clone was selected from each of the four
clones FB1, FC1, SB1, and SC1 (denoted by the letter r). Each of these
eight clones (FB1, FBr, FC1, FCr, SB1, SBr, SC1, and SCr) was then used
to initiate two new lines (distinguished by the numbers 1 and 2) for
stage II evolution.
(iv) Stage II batch evolution.
Stage II batch lines were
propagated as described above for stage I lines except that the growth
medium contained 500 µg of 2,4-D per ml rather than succinate and
dilution factors varied. After evolution, single clones from each line
were isolated for use in competition experiments. Stage II clones were
named by adding the letter B to the name of their stage I-proximate
ancestor, indicating stage II evolution in batch culture (Fig. 1; Table 2). All strains were stored in medium
containing 10% glycerol at
80°C. The identity of each clone as a
true evolved descendant of the founding clone (rather than as a
contaminant) was confirmed both by streptomycin marker type and by
repetitive-extragenic-palindromic-PCR diagnostic fingerprints
(46).
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TABLE 2.
Results of competition experiments for evolved lines from
stage I selection in succinate and stage II selection in 2,4-D
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Competition experiments.
The competitive performance of each
clone that evolved in batch culture during its most recent stage of
evolution was measured by directly competing a clone with its proximate
ancestor of the opposite marker type. These experiments were performed
on both selective and alternative substrates under the same conditions in which the clone evolved. Both strains in each pairwise competition were preconditioned for two growth cycles in the competition medium. The strains were then mixed and grown together for several generations (one to three daily dilution cycles). Initial and final relative frequencies of competing strains were estimated by dilution plating onto selective and nonselective agar plates. These frequencies were
then used to calculate the selection rate constant (SRC) for each
evolved clone (see below), which expresses the amount of change in
competitive performance undergone by a clone relative to the
competitive performance of its proximate ancestor (see reference
45 for a more detailed description of competition experiments).
Control competition experiments were also performed to factor out any
effect of streptomycin resistance on competitive performance
(
45). For example, for comparison of a stage II strain with
its stage I-proximate ancestor (e.g., FBB1 versus FB1), the stage
I
reciprocally marked ancestor (FBr) was competed both against
its
oppositely marked sister clone (FB1) and the stage II clone
(FBB1). The
SRC of the direct proximate ancestor relative to that
of its sister
clone (FB1 versus FBr) was then subtracted from
the SRC of the stage II
clone relative to that of its reciprocally
marked ancestor (FBB1 versus
FBr). This process gives the SRC
for the stage II strain relative to
that of its direct proximate
ancestor (FBB1 versus FB1). Therefore, the
SRC values shown for
each evolved strain (Table
2) reflect the amount
of performance
change by each strain relative to the performance of its
immediate
proximate ancestor of the same marker type (e.g., SB1
relative
to S, FCB1 relative to FC1, and FBBr2 relative to FBr2). A
positive
SRC indicates competitive superiority of a strain over its
ancestor,
whereas a negative value indicates inferiority. The SRC
between
two competitors,
i and
j,
(
sij) is the difference between their
actualized
Malthusian parameters:
sij = (1/
t)(ln[
Ni(
t)/
Ni(0)]

ln[
Nj(
t)/
Nj(0)]), where
t is the number of 24-h transfer cycles
in the competition,
Ni(0) and
Nj(0) are the
initial population
densities, and
Ni(
t) and
Nj(
t) are the final population densities
(measured at the same point in the daily growth cycle) (see references
28,
42, and
45 for more detailed
descriptions and derivations
of SRCs). Each SRC value reported in Table
2 is a mean value
obtained from results of multiple independent
replicate competitions
(usually five, but a minimum of three) performed
in parallel for
each strain. Ninety-five percent significance levels
were determined
by
t tests.
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RESULTS |
Adaptation to selective substrate.
Of the stage I lines
propagated on succinate in batch culture, the two S-derived lines
showed significantly greater adaptation than did the two F-derived
lines (Table 2; Fig. 2). Moreover, this
difference is conservative, since the S-derived lines underwent fewer
than half the number of doublings (185 generations) during stage I as
did the F-derived lines (500 generations). This suggests that
slower-growing strain S had more room for improvement in the batch
regimen than did strain F.

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FIG. 2.
Performance changes of stage I lines. (a) FB lines; (b)
SB lines. Mean SRC values are shown, along with 95% confidence
intervals, for both the selective substrate (succinate, left column)
and the alternative substrate (2,4-D, right column). *, see Table 2.
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Six of the eight stage II F-derived lines significantly improved their
competitiveness on 2,4-D, which was the substrate supplied
during stage
II (Table
2). In one set of lines (FBB) all four
lines demonstrably
improved (Table
2; Fig.
3). Similarly,
five
of the eight S-derived stage II lines show significant fitness
increases (Table
2; Fig.
4). All four SCB
lines (which were subjected
to changes in both culture regimen and
growth substrate between
stages I and II) improved significantly during
stage II.

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FIG. 3.
Performance changes of stage II F-derived lines. (a) FBB
lines; (b) FCB lines. Mean SRC values are shown, along with 95%
confidence intervals, for both the selective substrate (2,4-D, left
column) and the alternative substrate (succinate, right column).
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FIG. 4.
Performance changes of stage II S-derived lines. (a) SBB
lines; (b) SCB lines. Mean SRC values are shown, along with 95%
confidence intervals, for both the selective substrate (2,4-D, left
column) and the alternative substrate (succinate, right column).
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Competitive performance on alternative substrate.
Among the 13 lines that showed significant improvement on their selective substrate,
5 also improved significantly on the alternative substrate (Table
3). Three additional lines had
nonsignificant performance increases on the alternative substrate. In
contrast, 3 of the 13 significantly adapted lines experienced
significant losses of competitive ability on the alternative substrate
and two others were suggestive of such losses (Table 3). Overall, 10 lines either showed or suggested correlated improvements on both
substrates while 9 showed or suggested fitness losses on the
alternative substrate (Table 3). Among the six sets of evolved lines,
only the two SB replicate lines exhibited a homogeneous pattern of
performance on both selective and alternative substrates. The other
five sets showed (or suggested) both performance losses and performance
gains among their lines on the alternative substrate.
Substrate-specific adaptation.
The lines in this study may
have increased their fitness by adaptations largely specific to their
growth substrate during evolution, or alternatively, they may have
improved by adapting to some other aspect of the selective regimen,
such as the concentrations of various minerals in the medium. The
latter possibility is especially relevant to the stage I lines. If most
adaptation was not substrate specific, then evolved strains should be
approximately equally superior to their ancestors on both selective and
alternative substrates. In this study, however, many lines showed
negative responses on their alternative substrate, indicating that
their adaptation was largely substrate specific. Moreover, among those lines that improved on both substrates, in several cases the degrees of
improvement were quite different for the two substrates, which also
belies the general adaptation hypothesis.
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DISCUSSION |
Population dynamics of adaptation.
The evolutionary
changes in competitive performance on nonselective substrates
(resulting from adaptation to a specific selective substrate) may be
caused either by pleiotropic effects of adaptive mutations
(43) or by the random drift of effectively neutral alleles
(19). The latter possibility can be readily dismissed with
respect to these experiments. Only a very small minority of mutations
that affect fitness in a given environment are expected to be
beneficial rather than harmful. It is much easier to disrupt than to
improve the performance of a complex entity. That is, if one considers
mutations that are selectively neutral in one environment (say, 2,4-D
medium) but that affect fitness in an alternative environment (say,
succinate medium), then the vast majority of the mutations should
reduce, rather than improve, fitness in the alternative environment.
In this study, however, a majority of lines (five of eight) that
underwent significant competitive changes (positive or negative)
on
both their selective and alternative substrates actually improved
on
both substrates. This outcome is extremely unlikely under the
drift
hypothesis. Even after performance of a sequential Bonferroni
correction (a very conservative measure that corrects both for
significance attributions due to chance and for any nonindependence
of
data points [
38]), there remained four cases in which
both
performance responses were significant, and these were split
evenly
between trade-off and non-trade-off patterns. These data
indicate
that improvements in the alternative substrates for most lines
were not due to substitution of random mutations by drift but
instead
were caused by the same mutations responsible for improvements
in the
selective regimens. In other words, the selected mutations
were often
beneficial in both regimens, indicating positive pleiotropy.
This being
the case, it seems likely that the cases of significant
performance
loss on the alternative substrate (associated with
significant
performance improvement on the selective substrate)
were also due to
pleiotropy, in this case negative
pleiotropy.
It is also likely that each line's improvement in its selective
environment was due to only one or a few adaptive mutations.
This small
number is because the duration of experimental evolution
in this study
was relatively short (maximum of 500 generations
during either stage of
evolution). Mathematical models indicate
that many generations (often
several hundred) are required for
each beneficial mutation to sweep
sequentially through a large,
clonal population (
28). The
results of previous evolution experiments
with
E. coli
support the predictions of these models (
14,
29).
Multiple adaptive pathways.
The results of this study clearly
show that replicate evolving populations often achieved adaptation to
their selective substrate by different mechanisms. This inference
follows from the facts that in three of the four stage II sets (each
containing four independent replicate lines), at least one line showed
significant correlated improvements on both the selective and the
alternative substrate and that at least one other line showed a
significant loss of performance on its alternative substrate after
adaptation to its selective substrate (Table 2; Fig. 3 and 4). In other words, the variation in competitive fitness among replicate populations on alternative substrates (standard deviation = 1.3394) was
significantly greater (F = 14.581, 38 df, P < 0.0001 [F test statistic to compare variances])
than such variation on selective substrates (standard deviation = 0.3508) (43).
Even for replicate lines within a set that showed the same pattern of
performance changes on both the selective and the alternative
substrate, there was sometimes additional evidence that these
changes
were caused by different underlying physiological mechanisms.
For
example, lines SCB1 and SCBr1 both adapted significantly to
their
selective substrate (2,4-D) and they both showed significant
correlated
improvements on their alternative substrate (succinate).
However, data
presented by Velicer and Lenski (
45) suggest that
one of
these lines, SCB1, had improved performance in the chemostat
culture
regimen during adaptation to the batch regimen but that
the other
strain, SCBr1, appeared to have reduced performance
in chemostat
culture. (The difference in chemostat performance
between each strain
and its proximate ancestor was not significant,
but the resulting
difference between the two evolved strains was
highly significant
[
t = 8.298; 8 df; two-tailed
t test,
P < 0.0001]
[Student's
t test
statistic]). Assuming that these changes in
chemostat performance
reflect the pleiotropic effects of mutations
that were adaptive in the
batch regimen, then these data imply
that dual improvements of SCB1 and
SCBr1 had occurred by different
underlying
mechanisms.
The stage I selection history of clones used to initiate stage II lines
does not appear to have had a significant effect on
the pattern of
adaptive changes for stage II lines. Thus, among
the eight stage II
lines with a stage I batch history, three lines
showed or suggested
improvement on their alternative substrate
(succinate) after stage II
evolution whereas five showed or suggested
performance decreases.
Similarly, among stage II lines with a
stage I chemostat history, four
lines improved and four became
worse on their stage II alternative
substrate. (There were not
enough line replicates during stage I
evolution to test for an
ancestor effect on adaptation patterns.)
The replicate lines that indicate different mechanisms of adaptation to
2,4-D in batch culture were founded from base populations
that were
initially isogenic. This finding corroborates the results
of Travisano
et al. (
43), which showed that natural selection
can cause
significant divergence of populations within a species
even when the
populations are founded from the same progenitor
and experience
identical environments. Such divergence is presumably
due to the fact
that the replicate lines incur different sequences
of random mutations
during evolution, thus providing distinct
patterns of genetic variation
across populations upon which natural
selection may act. Potential
physiological mechanisms of adaptation
have been discussed by Velicer
(
44).
Relevance to the adaptation of genetically modified organisms in
natural habitats.
In the discussion of relative benefits and risks
of releasing genetically modified organisms into nature, it has often
been argued that genetically altered microorganisms will not persist because they are inherently less fit than indigenous competitors (6, 10, 11). Lenski (25) reviewed various
arguments for why genetically modified organisms might theoretically be
less fit than their natural counterparts, and he summarized some
experiments with bacteria that bear on those arguments.
Most of the studies reviewed by Lenski (
25) support the view
that modified microorganisms are competitively inferior to
the strains
from which they are derived. Mutations that alter
basic metabolic
functions (
20), the expression of additional
functions
(
1,
12,
24), the carriage of accessory genetic
elements
(
27), and the domestication of bacteria as they adapt
to
laboratory conditions (
11,
36) all tend to decrease the
fitness of modified organisms relative to that of their progenitors
under natural conditions, although important exceptions to this
generality exist (
2,
3,
13,
17). Beyond the immediate
fitness effects of genetic manipulations that occur prior to release,
there is the further possibility that genetically modified organisms
adapt evolutionarily to the local ecosystem in which they are
released.
Such postrelease adaptation seems more likely than fortuitous
preadaptation prior to release, and it may lead to the indefinite
persistence of modified organisms in the environment (along with
any
adverse effects they might
cause).
Several studies, including three with bacteria in the laboratory
(
4,
24,
34) and one with insects in the field
(
33),
indicate that organisms may evolve so as to mitigate
the fitness
costs associated with other genetic changes. In one case, a
population
of
E. coli carried a plasmid, pACYC184, that bore
genes that encoded
resistance to two antibiotics but that reduced the
bacterium's
fitness in the absence of antibiotic (
4). These
plasmid-bearing
cells were then propagated in medium that contained
antibiotic,
in order to prevent spontaneous plasmid-free segregants
from outcompeting
the plasmid-bearing cells and taking over the
population. After
only 500 generations, the plasmid-bearing cells were,
surprisingly,
more fit than both their plasmid-free progenitor and
their isogenic
plasmid-free derivatives even in the absence of
antibiotic (
4,
26). In other words, evolution of a
genetically modified organism
in one environment (with antibiotic) led
to a correlated improvement
in fitness in an alternative environment
(without
antibiotic).
The above results point towards a second concern over the evolution of
microorganisms that have been genetically modified
for bioremediation
in the environment. What is the effect of adaptation
to an
anthropogenic substrate, such as 2,4-D, on their competitive
fitness
for naturally occurring substrates, such as succinate?
If such
adaptation may have pleiotropic benefits for growth on
natural
substrates, then this increases the likelihood that these
genetically
modified organisms will persist in the environment.
For example,
adaptations that enhance bacterial growth on exogenous
2,4-D in the
rhizosphere (
5) may simultaneously improve bacterial
fitness
during growth on succinate, an endogenous exudate of nitrogen-fixing
nodules (
30). The results of this study clearly show that
evolutionary
adaptation of bacteria to growth on the common toxic
herbicide
2,4-D often improves their competitive fitness on the natural
substrate succinate. This outcome may have been facilitated by
the fact
that succinate and 2,4-D are catabolically linked (the
2,4-D catabolic
pathway enters the tricarboxylic acid cycle via
succinate). If so, a
similar evolutionary scenario can be expected
for bacterial adaptation
to other xenobiotics that also are degraded
via an intermediate
compound that also occurs as a natural growth
substrate.
The strains employed in this investigation were already capable of
degrading 2,4-D, without genetic modification in the laboratory.
However, there is no obvious reason that qualitatively similar
results
might not be obtained for strains that are genetically
modified to
degrade chlorinated aromatic compounds (or perform
some other
bioremediation function) more efficiently than natural
strains (
7,
35). In fact, such modified organisms may have
even more
opportunities for general improvements in their overall
vigor, owing to
the fitness costs associated with their modification
(see above).
Therefore, when considering the fate of genetically
modified organisms
released into the environment for bioremediation
of anthropogenic
substrates, it seems unrealistic to assume that
these organisms will
simply do their job and then
disappear.
The use of environmentally important substrates increases the relevance
of these results to concerns about the evolutionary
adaptation of
genetically modified organisms subsequent to their
release in the
environment. One concern is that certain environmental
conditions may
cause bacteria that are degrading a toxic substrate
to produce an even
more toxic metabolite in the process. For example,
bacteria may produce
highly toxic vinyl chloride during the biodegradation
of
tetrachloroethylene under methanogenic conditions (
47). In
a
similar vein, genetically modified bacteria that are used to
degrade
some toxic compound may evolve novel degradative pathways
that yield a
more toxic metabolite even as they continue to degrade
the intended
substrate. Concerns over these and other potential
adverse effects are
magnified if there is a significant likelihood
that the released
organisms may persist indefinitely in the environment
(
25,
37,
40). And as the organisms adapt to the natural
environment in
which they were released, the likelihood that they
can persist will
increase.
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ACKNOWLEDGMENTS |
I thank E. Smalley for assistance with the experiments. I also
thank R. Lenski, M. Travisano, A. de Visser, and an anonymous reviewer
for advice and comments.
This research was funded by the NSF Center for Microbial Ecology
(DEB-9120006).
 |
FOOTNOTES |
*
Mailing address: Center for Microbial Ecology, Michigan
State University, East Lansing, MI 48824. Phone: (517) 353-0809. Fax: (517) 353-9334. E-mail: velicerg{at}pilot.msu.edu.
 |
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