Do you want to buy antibiotics online without prescription? https://buyantibiotics-24h.com/ - This is pharmacy online for you!
Problems in monitoring horizontal gene transfer in
field trials of transgenic plants
Jack A Heinemann1,2 & Terje Traavik2
Transgenic crops are approved for release in some countries,
failed3,17–19. HGT from a transgenic organism into the genome of a
while many more countries are wrestling with the issue of
recipient organism has been detected in the environment, but not
how to conduct risk assessments. Controls on field trials often
without the use of recipient bacteria carrying special constructs (e.g.,
include monitoring of horizontal gene transfer (HGT) from
an allele of the neomycin phosphotransferase II gene (nptII
) with an
crops to surrounding soil microorganisms. Our analysis of
internal deletion) with significant sequence similarity to plant trans-
antibiotic-resistant bacteria and of the sensitivity of current
genes (e.g., an intact nptII
), thus influencing the event through the use
techniques for monitoring HGT from transgenic plants to soil
of homologous recombination to boost the detection of transfer17–21.
microorganisms has two major implications for field trial
These studies have been important demonstrations that gene transfer
assessments of transgenic crops: first, HGT from transgenic
occurs, even if HGT was influenced by the methods used to observe it.
plants to microbes could still have an environmental impact
In this article, we use the best measurements of frequencies of gene
at a frequency approximately a trillion times lower than the
transfer and the inferred histories of antibiotic-resistant bacteria
current risk assessment literature estimates the frequency to
to critique contemporary HGT risk assessments of transgenic crops.
be; and second, current methods of environmental sampling
We show, using the evolution of penicillin-binding protein genes as
to capture genes or traits in a recombinant are too insensitive
an example, that experimental limitations preclude measuring
for monitoring evolution by HGT. A model for HGT involving
HGT with the sensitivity necessary to dismiss eventual environmental
iterative short-patch events explains how HGT can occur at
harm. Therefore, existing data do not justify confidence in the state-
high frequencies but be detected at extremely low frequencies.
ments that HGT happens, but at “exceptionally low frequencies3” andthat it is “so rare as to be essentially irrelevant to any realistic assess-
Today’s commercial applications of transgenic organisms pose some
ment of the risk involved in release experiments involving transgenic
of the same types of risk to environment and health as previous appli-
plants”22. We offer a different view of the mobile gene ecosystem and a
cations, such as the massive release of antibiotics into the environ-
model of HGT that we believe is more relevant to assessing environ-
ment1,2. When assessing the impact of transgenic organisms, most risk
mental risks (Fig. 1
assessments will consider HGT (gene reproduction and segregation toorganisms or cells separately from the reproduction and segregation of
Lessons from Streptococcus pneumoniae
the genome as a whole), ecological lag times and toxicity of the prod-
The penicillin-binding proteins (PBPs)—targets of the drug—
uct (if it is to be consumed; e.g.
, see refs. 3,4). These same issues were
of Streptococcus pneumoniae
with reduced susceptibility to penicillin
pertinent to the wide-scale deployment of antibiotics 50 years ago,
differ from those of wild-type S. pneumoniae
23–25. Loosely speaking,
even if they were not fully apparent to those who were assessing the
five PBPs contribute to killing and resistance at some concentrations
of penicillin (discussed in refs. 26–28). All five PBPs have been
The impact of the medical and agricultural use of antibiotics is well
changed in some viridans streptococci isolated from the clinic29,
understood and described, giving nearly complete retrospective expla-
suggesting that, in situ
, more than just the two most important PBPs
nation for the global spread of antibiotic resistance genes by HGT5–9.
(2b and 2x) might contribute to resistance. Four S. pneumoniae pbp
The question of gene transfer is not ‘will it happen?’ but ‘when and
genes, through five independent mutations24,30, are reported to change
where will it happen?’ A more sophisticated understanding of the way
to raise S. pneumoniae
’s tolerance of penicillin to 2 µg/ml, the levels
genes transfer and ultimately settle into new genomes is required to rec-
observed in some clinical isolates25.
oncile divergent claims about the risks of HGT from transgenic crops.
Clinical isolates resistant to high levels of penicillin
Descriptions of genomes make clear that HGT has deeply influ-
genes that are mosaics (for an explanation of mosaic genes,
enced their structures10–16. Yet attempts to confirm HGT from trans-
see Fig. 1
) of DNA sequences of pbp
genes from at least two (the recip-
genic plants to soil microorganisms in the broader environment have
ient and a donor), and possibly more, species24,25. Donor species haveone or more pbp
genes that produce proteins with naturally low affini-ties for penicillin. Regions of those genes are found interspersed in the
1New Zealand Institute of Gene Ecology, University of Canterbury, 8020, Private
sequences of resistant S. pneumoniae
Bag 4800, Christchurch, New Zealand. 2Norwegian Institute of Gene Ecology,POB 6418, N-9294 Science Park, Tromsø, Norway. Correspondence should be
The history of mosaic pbp
genes in S. pneumoniae
addressed to J.A.H. (email@example.com).
why HGT is profoundly difficult to measure. First, penicillin resistance
Published online 31 August 2004; doi:10.1038/nbt1009
was assimilated into the S. pneumoniae
genome through successive
Evolution of mosaic alleles by molecular massage. HGT domain
swapping involves moving genes or sub-genes between genomes. Innature, domain swapping extends to significantly different nucleotide
) The homology-directed illegitimate recombination model
of Prudhomme et al.
63 illustrates how homologous recombination leads
to the insertion of nonhomologous DNA. In this model, insertion of donor
DNA (solid boxes) follows the legitimate crossover events of homologousrecombination, with concomitant deletion of intervening sequences ofrecipient DNA (open boxes). Single-stranded DNA corresponding to
perhaps a highly divergent allele of a pbp
gene, that encodes a PBP with low affinity for penicillin, is taken up by a competent and penicillin-
susceptible strain of S. pneumoniae
. Short stretches of DNA of near orabsolute identity (≥153 nucleotides, gray boxes) in the otherwise highly
divergent donor DNA initiate invasion of the donor strand. Extremely shortstretches of sequence identity (‘microhomology,’ 3–10 nucleotides, gray lines) suffice to define the end of the length of heterologous DNA
) The short stretches of highly similar DNA that bring a region
to the threshold of ‘recombination’ are either present by chance or by
conditioning. We propose that sequence conditioning begins when
biochemical barriers, primarily mismatch repair (MMR)64–67, fail to
remove mispaired DNA during recombination (inset). Depending on
the proficiency of mismatch repair (MMR), stretches of DNA fromhomologous (5%–30% divergent) sources may initially be paired, with
the invading strand subsequently degraded. MMR can saturate under
stress49,68–70 or falter through mutation, allowing some mispairs to
escape repair. Stretches of the recipient strand could be massaged into
a closer match with the donor DNA over short intervals (black lines in
recipient gene). High-frequency HGT could thus leave iterative small
changes that would be mistaken for variation from polymerase errors, if
detected at all. This model illustrates the importance of measuring gene
transfer frequencies, not just inheritance (transmission) frequencies,
for estimating the impact of HGT in the environment.
introductions and replacements of nucleotides sourced from highly
strains with much higher efficiency (by homologous recombination),
diverged donors (Fig. 1b
). Gene transfers between species most fre-
as could combinations of recombinant genes assembled in one or
quently result in short stretches of recombination, the mosaicism
more different strains38. The speed at which penicillin resistance
observed in pbp
genes, which are invisible to most analyses (see chapter
spread by subsequent gene transfer events could have accelerated
by J.A.H in ref. 31). Second, the lag32 between environmental impact
exponentially from the point in time at which the alleles were first
and genesis of the recombinant phenotype is an unpredictable variable.
assembled, far exceeding the speed at which emergent clonal lineages
Although it took 50 years for high-level penicillin-resistant S. pneumo-
reproduced or colonized new environments.
to become 21.5% of the isolates in the United States33, that out-come could not have been predicted in 1950 anymore than in 2004.
Implications for monitoring
Ecological lag time.
The time taken for a trait to emerge is partly a
The purpose of a transgenic crop field trial designed to assess HGT
function of the adaptive value of a new gene, but the strength of selec-
is to produce meaningful measures of potential harms arising from
tion or absence of selection cannot always be known in advance34,35,
gene transfer and estimate the safety margins needed to avoid them.
and any adaptive value must overcome the inhibiting effect of the
A verified trial would, either through scale or other design features,
dominant flora36. In some cases, the emergent phenotype may be seen
produce outcomes that are both qualitatively comparable to the range,
only when the environment changes, or the microbe changes environ-
and proportional to the magnitude, of impacts that could be expected
ments, as in the evolution of antibiotic resistance before selection from full releases.
(e.g., see reviews from J.A.H. group8,37). Only recently have formal
Could past trials have detected HGT at a fre-
experiments attempted to begin measuring the influence of selection
quency below which any environmental harm would arise? Techniques
being used to monitor HGT in soil have sampling limits of about one
HGT introduces another complexity in attempts to measure the recombinant bacterium in 108–1011, and these experiments uniformly
lag time. When genes evolve by transfer rather than through organis-
yield no detectable recombinants unless special conditions are
mal reproduction, neither the generation time nor the geographical
applied4,17–21,39–41. Some authors have imposed additional assump-
range of the organism necessarily limits the lag time. This last point is
tions about barriers to HGT and extrapolated an estimated frequency
particularly relevant to attempts to measure HGT in field trials: the
of many orders of magnitude less than their sampling limits, that is, to
combinatorial development of mosaic genes in decade time scales fol-
less than one event in 1016–1017 (refs. 22,39). Trials verified as relevant
lows from the flow of genes across the globe, not through the genera-
to a risk assessment would therefore have features that permitted
tion of variation within plots. In the case of S. pneumonia
e, once one
detection of recombinants at HGT frequencies <10–17. Clearly, no
allele was made, it could be transferred between
published trials have been that powerful.
VOLUME 22 NUMBER 9 SEPTEMBER 2004 NATURE BIOTECHNOLOGY
Implicit assumptions in HGT monitoring. The search for
recombinant microorganisms that could arise in the soil surroundingtransgenic plants invariably incorporates a step where the bacteria areisolated and cultured and those displaying a phenotype that can beselected (e.g., antibiotic resistance) or screened (e.g.,
PCR or intensity
of fluorescence54) are taken as recombinants. Every selection/screen
has a threshold monitoring range (dotted horizontal lines perpendicular to the y
-axis). Recombinants that do not display in this range will not be detected. For example, an investigator-imposed threshold penicillinconcentration would miss recombinant strains of S. pneumoniae
that are resistant to other levels of penicillin but may arise at much higherfrequencies and would lead to false confidence that the use of penicillinat such concentrations would be of low risk to the evolution of clinically
important penicillin-resistant strains. The challenge for future monitoringproposals is to justify that the monitoring range is within the reach of the
population at the temporal and population scales being tested.
Even if they had been, would this detection limit verify the trial?
5 × 1030, with an average turnover of three years43. Gene transfer mag-
Existing knowledge of S. pneumoniae pbp
genes can be used to answer
nitudes are conservatively 100 times this already impressive scale
this question. Majewski et al.
42 recovered single-gene S. pneumoniae
because each organism may host, over its lifetime, 10–100 horizontally
recombinants at a frequency of approximately 10–6 using DNA from
mobile elements (e.g., viruses or conjugative plasmids). These approx-
donor sources that have diverged by 17%–18% in DNA sequence. The
imations are also consistent with estimates of gene transfer derived
degree of sequence divergence between donor and recipient pbp
from observations of the viral load in the world’s oceans (see chapter
used in this study was in the middle of the range seen in alleles actually
donated to penicillin-susceptible clinical isolates of S. pneumoniae
The number of transgene transfers to soil microbes thus can be esti-
(14%–25%25,30). Using this transmission frequency as a guide, the pre-
mated based on derived HGT frequencies and the size of the microbial
dicted frequency of S. pneumoniae
with one recombination event per
population (Table 1
). For example, a transmission frequency of 10–12
gene is 1 × 10–24 [(1 × 10–6)4]. (This estimate would be valid even if
could result in 4,000 recombinants per square meter of top soil (based
only PBP2b and 2x had to change because a minimum of two changes
on 5 × 1028 bacteria per 1.4 × 1013 m2 of top soil43). Ten recombinants
in each of PBP2b and 2x are thought to be required24.) For strains with
could be expected in 250 m2 if the gene transmission frequency were
six events (e.g., possibly the South African isolate described in refs.
10–17, with upwards of a trillion recombinants among the nearly
25,27), the frequency would be 1 × 10–36 [(1 × 10–6)6]. In theory, the
70 million hectares of transgenic crops44. Were HGT truly rare, on the
evolution of penicillin resistance and its consequences has resulted
order of the inverse of Avogadro’s number (10–24), 5,000 recombinants
from events predicted to be 107–1019 times rarer than frequencies of
would be expected in the estimated 11.4 million hectares currently
HGT estimated to be occurring in soil.
planted in Bacillus thuringiensis
) corn45. Although it might seem
Whereas the low-affinity alleles of all the different mosaic pbp
that these numbers should be big enough for trials to detect recombi-
in a given strain of S. pneumoniae
were probably not built into their
nants, distributed among the normal flora a minimum of 4 × 108 m3
final complexity at each locus from one lucky scoop out of the pool of
(500 million metric tons) of soil would have to be sampled to find one
DNA surrounding them, contemporary experiments on transgenic
(this estimate is based on 5 × 1027 bacteria per 1.14 × 107 hectares of
organisms impose that requirement on the organisms being moni-
top soil; see Table 1
tored in a relatively small area for comparatively short times, and relyon a high frequency event to overcome unpredictable lag times so that
Implications for risk assessment
at most only a trillion culturable organisms would be needed to reveal
When HGT is considered in relation to risk assessments, we must con-
HGT. Gene transfers that result in intermediate phenotypes or pheno-
sider not only whether HGT is occurring, but also the critical issue of
types different from those expected by the investigator are lost (Fig. 2
its consequences for health and environmental safety. The latter is
A verified trial for studying HGT, therefore,
would require a protocol to screen approxi-mately 1025–1037 bacteria for penicillin resist-
Table 1 Estimated number of HGT events from transgenic plants to soil microbes on
the basis of derived HGT frequencies and microbial population size
cultured and plated at densities of 1010/Petridish, a minimum of 1015 and 1027 Petri
dishes, respectively (and many times more if
other culturable bacteria from the environ-
Recombinants in Bt
corn fields (global)b
required to detect one recombinant arising de
Size of soil sample for one recombinanta,b,c
× 105 T 3
× 1010 Td
× 1012 T
A new respect for the
scale of the microbial world is required to
aBoldface text for frequencies indicates frequencies higher than any reports of environmental HGT that we are aware of
appreciate the detection problem. In some
(unless special recipients were used); boldface text for sample sizes indicates sample sizes larger than those in any studiesthat we know of that have examined the full genomic content of the sample. bBased on the following calculation: 5 × 1027
soils, like rich top soils, there are approxima-
bacteria/5,000 recombinant bacteria) × (g soil/2 × 109 bacteria) × (m3/1.3 × 106 g soil). cg, grams; kg, kilograms; T, metric
tely two billion microorganisms per gram43.
tons. dThis amount of soil would fill a train of 500 million (standard 70 US tons) boxcars, long enough to encircle the equa-tor 192 times. eAssuming 1% of soil microorganisms are culturable71,72.
dependent on the likely impact of the newly acquired trait in its eco-
applications that introduce HGT risks and adjust the pace of their
logical and geographical context. In the case of transgenic plants
release to match developments in our ability to monitor at relevant
toxins, for example, the ubiquity of B. thuringiensis
sensitivities, recognizing that the technology of safety monitoring
soil was considered by the US Environmental Protection Agency lags behind the technology of genetic engineering. The slowdown may(EPA; Washington, DC, USA) to reduce the environmental impact of
toxin transgenes, even if they did transfer to soil
From a technological standpoint, some groups are already develop-
microorganisms41. However, it is useful to invoke what is known about
ing vectors carrying genes that are expressed in a larger number of
for evaluating the EPA assessment.
species, including those that cannot be cultured, thus extending our
is a shorthand for the cry
toxin genes, modified from those first
understanding of gene movement in the context of the larger soil bio-
isolated from the soil bacterium B. thuringiensis,
that confer resistance
diversity54. Even more intriguing are developments that map the
to various insect pests of plants. The cry
genes appear to be of mosaic
mobile gene landscape and thus develop indirect measures of HGT
construction, like the pbp
genes46. The combinations of domains activity and gene diversity in particular places and times55–57. As onedistributed among the various cry
genes alter the range of species of us (J.A.H) has previously noted58, these approaches look promisingthat find the protein toxic. In this regard, it is noteworthy that because they capture the novel gene diversity predicted to emerge fromB. thuringiensis
has “a significant history of mammalian pathogenic-
HGT. The detection limits of these new developments are still not
ity”46 and is thus not irrelevant to food safety or other environmental
known, and will probably fall short of detecting the early bouts of
issues. Before human application of penicillin, the EPA might have
short-patch interspecies recombination (Fig. 1b
), but their innovation
similarly dismissed concern about the trafficking of the extremely
removes the need to find a particular DNA sequence within a sea of
small PBP protein domains because pbp
genes are ubiquitous in
DNA, the very factor that limits conventional approaches.
human flora (low-affinity alleles originate in normal human commen-
HGT binds the microbial community into a complex network59,60
sals, such as the viridans streptococci). Moreover, large fragments of
even at intuitively ‘low’ frequencies of transfer (≤10–17), allowing alle-
the modified forms of cry
transgenes, which may not be identical to
les of genes to evolve on a global scale7,30,61. HGT has been dismissed
the gene found in the soil bacteria47, persist through digestion in pigs
by commentators in response to concerns about the possible impact of
and exit with feces48. DNA from cry
genes was detected only when
transgene migration from released transgenic crops, even though the
their source was Bt
corn, suggesting that normal soil organisms are less
scale of commercial production already makes such risks plausible.
likely to contribute to any recycling through animals, making the
Gene transfer is facilitated by many different kinds of vectors and envi-
transgene DNA relatively more available to gut and soil bacteria.
ronmental conditions and is not restricted to microbes. Among a
Mosaic genes are becoming the norm in antibiotic-resistant micro-
number of different and plausible transgene vectors are viruses capa-
bial flora49. For example, three genes (parC, parE
ble of crossing even the plant-animal divide62. The variety of transfer
change in S. pneumoniae
for it to become resistant to clinical levels of
paths and vectors, and the number of genomes that could serve as tem-
the drug ciprofloxacin. Resistant strains carry mosaic alleles of each of
porary or permanent homes for transgenes (or parts thereof), make
these genes, with the viridans streptococci again being the most likely
the speculative calculations presented here highly conservative.
donors50. The mosaic regions vary from 0.6%–12% in DNA sequence
Contrary to the conclusion of others3, we believe that new approaches
from susceptible strains, and some resistant strains have eight putative
to monitoring environmental scale applications of transgenic organ-
interspecies domains distributed over the three genes50. Domain
swapping can be a powerful route to protein diversity that is revealed
only by the introduction of new selective pressures and niches, not
We thank C. Amábile-Cuevas, H. Cochrane, D. Bean and R. Mann for critical
always predictable from known biochemical function and apparent
comments on the manuscript. J.A.H. acknowledges support from the Marsden
Fund of New Zealand (M1042) and the Brian Mason Trust.
COMPETING INTERESTS STATEMENT
The authors declare that they have no competing financial interests.
The consequences, if not the precise frequencies, of HGT in microor-
Published online at http://www.nature.com/naturebiotechnology/
ganisms are becoming well known to those who suffer from bacterialinfections that resist treatment by the least toxic and least expensive
1. Harremoës, P. et al.
(eds.) Late Lessons from Early Warnings: the Precautionary
antibiotics and to governments that must pay for treatments with
, 1896–2000 Environmental Issue Report No. 22 (Official Publications
more expensive antibiotics and intensive medical interventions. The
of the European Communities, Copenhagen, 2002).
2. Traavik, T. Environmental risks of genetically engineered vaccines. in Genetically
lessons of antibiotic resistance should not be lost in the haste to intro-
Engineered Organisms Assessing Environmental and Human Health Effects
duce transgenic crops with new traits, nor in considering the impact of
Letourneau, D.K. & Burrows, B.E.) 331–353 (CRC Press, Boca Raton, 2002).
existing approved transgenic crops that contain antibiotic resistance
3. Conner, A.J., Glare, T.R. & Nap, J.-P. The release of genetically modified crops into
the environment Part II. Overview of ecological risk assessment. Plant J. 33
To paraphrase Curtis et al.
52: “Microbial ecology, which drives the
4. Gasson, M. & Burke, D. Scientific perspectives on regulating the safety of geneti-
cally modified foods. Nat. Rev. Genet. 2
, 217–222 (2001).
ecology of the planet, urgently requires…descriptions of the whole to
5. Amábile-Cuevas, C.F. (ed.) Multiple Drug Resistant Bacteria
complement the trend to ever more perfect experimental descriptions
of the parts” because the parts created by HGT will otherwise always
6. Anonymous. Report of the ASM task Force on Antibiotic Resistance. Antimicrob.
Agents Chemother. 39
, 2–23 (1995).
be outside the resolution of our experiments.
7. de la Cruz, F., Garcia-Lobo, J.M. & Davies, J. Antibiotic resistance: how bacterial
Are there any alternatives to existing low-resolution techniques for
populations respond to a simple evolutionary force. in Bacterial Resistance to
monitoring? Molecular detection techniques, such as PCR, do not
(eds. Lewis, K., Salyers, A.A., Taber, H.W. & Wax, R.G.) 19–36(Marcel Dekker, New York and Basel, 2002).
increase detection sensitivity more than a few orders of magnitude and
8. Heinemann, J.A. How antibiotics cause antibiotic resistance. Drug Discov. Today
are also blind to small changes in nucleotide sequence (see our
, 72–79 (1999).
9. Levy, S.B. The challenge of antibiotic resistance. Sci. Amer. 278
, 32–39 (1998).
review53). The most obvious alternative is not a technique but a deci-
10. Springael, D. & Top, E.M. Horizontal gene transfer and microbial adaptation to
sion to consider the scientific uncertainty surrounding environmental
xenobiotics: new types of mobile genetic elements and lessons from ecological
VOLUME 22 NUMBER 9 SEPTEMBER 2004 NATURE BIOTECHNOLOGY
studies. Trends Microbiol. 12
, 53–58 (2004).
41. Mendelsohn, M., Kough, J., Vaituzis, Z. & Matthews, K. Are Bt
11. Jain, R., Rivera, M.C. & Lake, J.A. Horizontal gene transfer among genomes: the
Nat. Biotechnol. 21
, 1003–1009 (2003).
complexity hypothesis. Proc. Natl. Acad. Sci. USA 96
, 3801–3806 (1999).
42. Majewski, J., Zawadzki, P., Pickerill, P., Cohan, F.M. & Dowson, C.G. Barriers to
12. Lawrence, J.G. & Roth, J.R. Selfish operons: horizontal transfer may drive the evo-
genetic exchange between bacterial species: Streptococcus pneumoniae
lution of gene clusters. Genetics 143
, 1843–1860 (1996).
mation. J. Bacteriol. 18
2, 1016–1023 (2000).
13. Ochman, H., Lawrence, J.G. & Groisman, E.A. Lateral gene transfer and the nature
43. Whitman, W.B., Coleman, D.C. & Wiebe, W.J. Prokaryotes: the unseen majority.
of bacterial innovation. Nature 405
, 299–304 (2000).
Proc. Natl. Acad. Sci. USA 95
, 6578–6583 (1998).
14. Rujan, R. & Martin, W. How many genes in Arabidopsis
come from cyanobacteria?
44. Stokstad, E. Monsanto pulls the plug on genetically modified wheat. Science 304
An estimate from 386 protein phylogenies. Trends Genet. 17
, 113–120 (2001).
15. Syvanen, M. & Kado, C.I. (eds.) Horizontal Gene Transfer
edn. 2 (Academic Press,
45. Knols, B.G.J. & Dicke, M. Bt
crop risk assessment in the Netherlands. Nat. Bio-
, 973–974 (2003).
16. Woese, C.R. On the evolution of cells. Proc. Natl. Acad. Sci. USA 99
46. de Maagd, R.A., Bravo, A. & Crickmore, N. How Bacillus thuringiensis
toxins to colonize the insect world. Trends Genet. 17
, 193–199 (2001).
17. de Vries, J., Heine, M., Harms, K. & Wackernagel, W. Spread of recombinant DNA
47. Saxena, D., Flores, S. & Stotzky, G. Insecticidal toxin in root exudates from Bt
by roots and pollen of transgenic potato plants, identified by highly specific bio-
corn. Nature 402
, 480 (1999).
monitoring using natural transformation of an Acinetobacter
sp. Appl. Environ.
48. Chowdhury, E.H. et al.
Detection of corn intrinsic and recombinant DNA fragments
, 4455–4462 (2003).
and Cry1Ab protein in the gastrointestinal contents of pigs fed genetically modi-
18. Nielsen, K.M., Bones, A.M., Smalla, K. & van Elas, J.D. Horizontal gene transfer
fied corn Bt11. J. Anim. Sci. 8
1, 2546–2551 (2003).
from transgenic plants to terrestrial bacteria—a rare event? FEMS Microbiol. Rev.
49. Keeling, P.J. & Palmer, J.D. Lateral transfer at the gene and subgenic levels in the
, 79–103 (1998).
evolution of eukaryotic enolase. Proc. Natl. Acad. Sci. USA 98
19. Nielsen, K.M., van Elas, J.D. & Smalla, K. Transformation of Acinetobacter
strain BD413(pFG4DnptII) with transgenic plant DNA in soil microcosms and
50. Balsalobre, L., Ferrandiz, M.J., Linares, J., Tubau, F. & de la Campa, A.G. Viridans
effects of kanamycin on selection of transformants. Appl. Environ. Microbiol. 66
group streptococci are donors in horizontal transfer of topoisomerase IV genes to
. Antimicrob. Agents Chemother. 47
20. Kay, E., Vogel, T.M., Bertolla, F., Nalin, R. & Simonet, P. In situ
transfer of antibi-
otic resistance genes from transgenic (transplastomic) tobacco plants to bacteria.
51. Kuiper, H.A., Kleter, G.A., Noteborn, H.P.J.M. & Kok, E.J. Assessment of the food
Appl. Environ. Microbiol. 68
, 3345–3351 (2002).
safety issues related to genetically modified foods. Plant J. 27
, 503–528 (2001).
21. Tepfer, D. et al.
Homology-dependent DNA transfer from plants to a soil bacterium
52. Curtis, T.P., Sloan, W.T. & Scannell, J.W. Estimating prokaryotic diversity and its
under laboratory conditions: implications in evolution and horizontal gene transfer.
limits. Proc. Natl. Acad. Sci. USA 99
, 10494–10499 (2002).
Trans. Res. 12
, 425–437 (2003).
53. Heinemann, J.A., Sparrow, A.D. & Traavik, T. Is confidence in monitoring of GE
22. Schluter, K., Futterer, J. & Potrykus, I. ‘Horizontal’ gene transfer from a transgenic
foods justified? Trends Biotechnol. 22
, 331–336 (2004).
potato line to a bacterial pathogen (Erwinia chrysanthemi
) occurs—if at all—at an
54. Sørensen, S.J., Sørensen, A.H., Hansen, L.H., Oregaard, G. & Veal, D. Direct
extremely low frequency. Bio/Technology 13
, 1094–1098 (1995).
detection and quantification of horizontal gene transfer by using flow cytometry
23. Massova, I. & Mobashery, S. Kinship and diversification of bacterial penicillin-
and GFP as a reporter gene. Curr. Microbiol. 47
, 129–133 (2003).
binding proteins and beta-lactamases. Antimicrob. Agents Chemother. 42
55. Michael, C. et al.
Mobile gene cassettes: a fundamental resource for bacterial evo-
lution. Am. Nat. 164
, 1–12 (2004).
24. Hakenbeck, R., Grebe, T., Zähner, D. & Stock, J.B. β-lactam resistance in
56. Nemergut, D.R., Martin, A.P. & Schmidt, S.K. Integron diversity in heavy-metal-
: penicillin-binding proteins and non-penicillin-binding
contaminated mine tailings and inferences about integron evolution. Appl.
proteins. Mol. Microbiol. 33
, 673–678 (1999).
Environ. Microbiol. 70
, 1160–1168 (2004).
25. Spratt, B.G. Resistance to antibiotics mediated by target al
terations. Science 264
57. Stokes, H.W. et al.
Gene cassette PCR: sequence-independent recovery of entire
genes from environmental DNA. Appl. Environ. Microbiol. 67
26. Walsh, C. Antibiotics Actions Origins Resistance
(ASM Press, Washington, 2003).
27. Nichol, K.A., Zhanel, G.G. & Hoban, D.J. Penicillin-binding protein 1A, 2B, and
58. Cooper, T.F. & Heinemann, J.A. Post-segregational killing does not increase plas-
2X alterations in Canadian isolates of penicillin-resistant Streptococcus pneumo-
mid stability but acts to mediate the exclusion of competing plasmids. Proc. Natl.
. Antimicrob. Agents Chemother. 46
, 3261–3264 (2002).
Acad. Sci. USA 97
, 12543–12648 (2000).
28. Hooper, D.C. in Bacterial Resistance to Antimicrobials
(eds. Lewis, K. Salyers,
59. Doolittle, W.F. Phylogenetic classification and the universal tree (taxonomies
A.A., Taber, H.W. & Wax, R.G.) 161–192 (Marcel Dekker, New York, 2002).
based on molecular sequences). Science 284
, 2124–2130 (1999).
29. Amoroso, A., Demares, D., Mollerach, M., Gutkind, G. & Coyette, J. All detectable
60. Heinemann, J.A. Genetics of gene transfer between species. Trends Genet. 7
high-molecular-mass penicillin-binding proteins are modified in a high-level
β-lactam-resistant clinical isolate of Streptococcus mitis
. Antimicrob. Agents
61. Maiden, M.C.J., Malorny, B. & Achtman, M. A global gene pool in the neisseriae.
, 2075–2081 (2001).
Mol. Microbiol. 21
, 1297–1298 (1996).
30. Claverys, J.-P., Prudhomme, M., I., M.-B. & Martin, B. Adaptation to the environ-
62. Gibbs, M.J. & Weiller, G.F. Evidence that a plant virus switched hosts to infect a
ment: Streptococcus pneumoniae
, a paradigm for recombination-mediated genetic
vertebrate and then recombined with a vertebrate-infecting virus. Proc. Natl. Acad.
plasticity? Mol. Microbiol. 35
, 251–259 (2000).
Sci. USA 96
, 8022–8027 (1999).
31. Heinemann, J.A. Horizontal gene transfer between microorganisms. in Encyclo-
63. Prudhomme, M., Libante, V. & Claverys, J.-P. Homologous recombination at the
pedia of Microbiology
edn. 2 (ed. Lederberg, J.) 698–706 (Academic Press,
border: insertion-deletions and the trapping of foreign DNA in Streptococcus pneu-
. Proc. Natl. Acad. Sci. USA 99
, 2100–2105 (2002).
32. Marvier, M. Ecology of transgenic crops. Am. Sci. 89
, 160–167 (2001).
64. Denamur, E. et al.
Evolutionary implications of the frequent horizontal transfer of
33. Doern, G.V. et al.
Antimicrobial resistance among clinical isolates of Streptococcus
mismatch repair genes. Cell 10
3, 711–721 (2000).
in the United States during 1999–2000, including a comparison of
65. Evans, E. & Alani, E. Roles for mismatch repair factors in regulating genetic
resistance rates since 1994–1995. Antimicrob. Agents Chemother. 45
recombination. Mol. Cell. Biol. 2
0, 7839–7844 (2000).
66. Matic, I., Rayssiguier, C. & Radman, M. Interspecies gene exchange in bacteria:
34. Molbak, L., Licht, T.R., Kvist, T., Kroer, N. & Andersen, S.R. Plasmid transfer from
the role of SOS and mismatch repair systems in evolution of species. Cell 80
to the indigenous bacteria on alfalfa sprouts: characteriza-
tion, direct quantification, and in situ
location of transconjugant cells. Appl.
67. Rayssiguier, C., Thaler, D.S. & Radman, M. The barrier to recombination between
Environ. Microbiol. 69
, 5536–5542 (2003).
and Salmonella typhimurium
is disrupted in mismatch-repair
35. Lilley, A.K. et al.
Population dynamics and gene transfer in genetically modified
mutants. Nature 342
, 396–401 (1989).
bacteria in a model microcosm. Mol. Ecol. 12
, 3097–3107 (2003).
68. Cupples, C.G., Cabrera, M., Cruz, C. & Miller, J.H. A set of lacZ
36. Anderson, E.S. The ecology of transferable drug resistance in the enterobacteria.
that allow rapid detection of specific frameshift mutations.
Annu. Rev. Microbiol. 22
, 131–180 (1968).
, 275–280 (1990).
37. Heinemann, J.A., Ankenbauer, R.G. & Amábile-Cuevas, C.F. Do antibiotics main-
69. Humayun, M.Z. SOS and Mayday: multiple inducible mutagenic pathways in
tain antibiotic resistance? Drug Discov. Today 5
, 195–204 (2000).
. Mol Microbiol 30
, 905–910 (1998).
38. du Plessis, M., Bingen, E. & Klugman, K.P. Analysis of penicillin-binding protein
70. Mihaylova, V.T. et al.
Decreased expression of the DNA mismatch repair gene Mlh1
genes of clinical isolates of Streptococcus pneumoniae
with reduced susceptibility
under hypoxic stress in mammalian cells. Mol. Cell. Biol. 23
, 3265–3273 (2003).
to amoxicillin. Antimicrob. Agents Chemother. 46
, 2349–2367 (2002).
71. Amann, R., Ludwig, W. & Schleifer, K. Phylogenetic identification and in situ
39. Nielsen, K.M. et al.
Natural transformation and availability of transforming DNA to
detection of individual microbial cells without cultivation. Microbiol. Rev. 59
in soil microcosms. Appl. Environ. Microbiol. 63
72. Kaeberlein, T., Lewis, K. & Epstein, S.S. Isolating “uncultivable” microorganisms
40. Gebhard, R. & Smalla, K. Transformation of Acinetobacter
sp. strain BD413 by
in pure culture in a simulated natural environment. Science 296
transgenic sugar beet DNA. Appl. Environ. Microbiol. 64
, 1550–1554 (1998).
Referral Criteria for Extractions Accepted Rejected • Unsuccessful attempt at extraction by referring • Any tooth root filled or not, with sufficient crown or roots to apply either forceps or luxators • Severely abnormal root morphology likely to • Single rooted teeth and multi rooted teeth whether root filled or not that do not need division that • Multi rooted teeth
Farmacologie OVERZICHT GENEESMIDDELEN Farmacognosie GENEESMIDDELEN VOOR HET SPIJSVERTERINGSSTELSEL - MAAG:DARM KANAAL Specialiteiten® Actieve Stoffen Antacida en Protectiva (mucosebeschermers) Voordelen: vlug werken, juiste pH aanhouden, niet laxerend of constiperend, geen slechte smaak | Nadelen: geen oorzakelijke aanpak, storing in metabolisme: alkalose, beinvloedt resorptie