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Appl Environ Microbiol, April 1998, p. 1180-1187, Vol. 64, No. 4
0099-2240/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.
Comparison of Randomly Amplified Polymorphic DNA with
Amplified Fragment Length Polymorphism To Assess Genetic
Diversity and Genetic Relatedness within Genospecies III of
Pseudomonas syringae
Agathe
Clerc,1
Charles
Manceau,1,* and
Xavier
Nesme2
Institut National de la Recherche
Agronomique, Station de Pathologie Végétale, 49071 Beaucouzé,1 and
Laboratoire
d'Ecologie Microbienne du Sol, UMR CNRS 557, Institut National de
la Recherche Agronomique, Université Lyon 1, 69622 Villeurbanne
Cedex,2 France
Received 15 September 1997/Accepted 1 January 1998
 |
ABSTRACT |
Recently, DNA pairing analyses showed that Pseudomonas
syringae pv. tomato and related pathovars, including
P. syringae pv. maculicola, form a genomic species
(Pseudomonas tomato) (L. Gardan, H. L. Shafik, and
P. A. D. Grimont, p. 445-448, in K. Rudolph, T. J. Burr, J. W. Mansfield, D. Stead, A. Vivian, and J. von
Kietzell, ed., Pseudomonas syringae Pathovars and Related
Pathogens, 1997). The genetic diversity of 23 strains belonging
to this genomic species and 4 outgroup strains was analyzed with
randomly amplified polymorphic DNA (RAPD) and amplified fragment length
polymorphic (AFLP) techniques. Simple boiling of P. syringae cells was suitable for subsequent DNA amplification to
obtain reliable patterns in RAPD and AFLP analyses. In general, the
grouping of P. syringae strains by both analysis techniques
corresponded well with the classification obtained from an RFLP
analysis of ribosomal DNA operons, DNA pairing studies, and an analysis
of pathogenicity data. However, two strains of P. syringae
pv. maculicola produced distinct DNA patterns compared to the DNA
patterns of other P. syringae pv. maculicola strains; these
patterns led us to assume that horizontal transfer of DNA could occur
between bacterial populations. Both techniques used in this study have
high discriminating power because strains of P. syringae
pv. tomato and P. syringae pv. maculicola which were
indistinguishable by other techniques, including pathogenicity tests on
tomato, were separated into two groups by both RAPD and AFLP analyses.
In addition, data analysis showed that the AFLP method was more
efficient for assessing intrapathovar diversity than RAPD analysis and
allowed clear delineation between intraspecific and interspecific
genetic distances, suggesting that it could be an alternative to DNA
pairing studies. However, it was not possible to distinguish the two
races of P. syringae pv. tomato on the basis of an analysis
of the data provided by either the AFLP or RAPD technique.
 |
INTRODUCTION |
Pseudomonas syringae van
Hall (14) is a plant-associated bacterial species which has
been divided into more than 50 pathovars. It causes diseases in all
major groups of higher plants, producing mainly necrotic lesions on
aerial parts of plants. The pathovar concept was introduced by Young et
al. (23, 24) in order to provide a nomenclature at the
subspecies level based on differences in plant host range and types of
symptoms. Such a phenotypically based classification is of practical
interest, but it does not reveal the genetic relatednesses between
pathovars. Using DNA pairing analysis, Pecknold and Grogan
(15) showed that P. syringae is a
heterogeneous species. Later, Denny et al. (2) showed that
P. syringae pv. tomato strains form a genetically
homogeneous group that is clearly distinct from P. syringae pv. syringae strains and that should be considered a
genomic species. Furthermore, PCR-restriction fragment length
polymorphism (RFLP) analysis of the rrn operon confirmed the
heterogeneity and showed that P. syringae pv. tomato
and P. syringae pv. maculicola are closely related
(12). Recently, nine genomic species were described within
P. syringae on the basis of the results of DNA pairing studies. Strains belonging to several pathovars of P. syringae (P. syringae pv. tomato, P. syringae pv. maculicola, P. syringae pv. apii,
P. syringae pv. antirrhini, P. syringae pv. delphinii, P. syringae pv. persicae)
have been clustered in genomic species III, for which the name
Pseudomonas tomato has been proposed. Curiously, one strain
of P. syringae pv. maculicola (CFBP 1637) was found not
to be a member of genospecies III by DNA pairing studies (7,
18).
From an agronomic point of view, P. syringae pv. tomato
is the causal agent of bacterial speck of tomato. This disease is distributed worldwide and is responsible for reductions in
the commercial quality of fruits and yield (25).
P. syringae pv. tomato is mainly transmitted by
infected seeds and plants (9). P. syringae
pv. maculicola, including strain CFBP 1637, causes disease on
crucifers, but it is also pathogenic on tomato and produces the typical
symptoms of tomato speck when it is artificially inoculated (8,
22). Furthermore, strains belonging to the two pathovars have the
same biochemical characteristics. Consequently, it has been suggested
that these two bacteria should be placed in the same pathovar
(20). Against this background, efficient tools for
identifying populations within P. syringae pathovars responsible for outbreaks would be very useful for setting up integrated control methods. This group of strains, identified as
P. syringae pv. tomato and P. syringae
pv. maculicola and belonging to the same genospecies, is therefore a
good group for testing the usefulness of techniques at several levels,
including the ability of techniques to distinguish bacteria belonging
to different genospecies, to group bacteria belonging to the same
genospecies, and to identify bacterial strains in epidemiological
surveys.
In this paper, two techniques, the randomly amplified polymorphic
DNA (RAPD) technique and amplified fragment length polymorphism (AFLP), were used to discriminate pathovars belonging to
the genomic species P. tomato and to identify bacterial
isolates.
 |
MATERIALS AND METHODS |
Bacterial strains.
The bacterial cultures used in this study
are listed in Table 1. Most of the
strains used belong to the same RFLP group, as determined by an
analysis of the internally transcribed sequence between the
rrs and rrl genes (ITS1) in the rrn
operon (12); the only exceptions were P. syringae pv. delphinii CFBP 2215, P. syringae pv.
syringae CFBP 1392, P. syringae pv. phaseolicola CFBP
1390, and Pseudomonas viridiflava CFBP 2107, which were used as outgroups. Most of the test strains which were in RFLP group A
belong to genospecies III of P. syringae (P. tomato); the only exception was P. syringae pv.
maculicola CFBP 1637, which clustered outside the genospecies
(18). Bacterial strains were grown on medium B of King
(11) at 27°C and were stored at 4°C. For long-term storage, bacteria were kept at
80°C in YP-glycerol broth (7 g of
yeast extract per liter, 7 g of Bacto Peptone [Difco
Laboratories, Detroit, Mich.] per liter, 300 g of glycerol per
liter; pH 7).
Plant inoculation.
The pathogenicity of selected strains was
assayed on tomato plants (Lycopersicon esculentum cv.
Montfavet 63-4) which were susceptible to both races of P. syringae pv. tomato. Inoculation was accomplished by spraying
bacterial suspensions (5 × 108 CFU ml
1)
over the foliage of 1-month-old plants. The inoculated plants were then
incubated in a growth chamber (16 h of light at 24°C and 8 h of
darkness at 20°C per day) with a relative humidity of almost 100%.
Symptoms were recorded 7 days after inoculation. Three plants per
strain were inoculated.
DNA extraction.
Two methods were used to extract DNA from
bacterial cells. In the first method the cetyltrimethylammonium bromide
technique of Ausubel et al. (1) was used. The concentration
of the DNA was determined spectrophotometrically. Each DNA preparation
was diluted in water to obtain a concentration of 2 ng
ml
1. The second method involved a partial DNA extraction
technique performed as follows. Bacterial suspensions (optical density
at 600 nm, 0.3) were boiled for 10 min and immediately placed on ice
for 10 min. The insoluble cellular residues were removed by centrifugation at 11,340 × g for 5 min. The supernatants
were directly used for PCR or ligation reactions or were stored at 4°C for several weeks.
RAPD analysis.
DNA amplification reactions were carried out
in a final volume of 50 µl. A 5-µl portion of a DNA solution,
either purified DNA or supernatant from a boiled culture,
was added to 45 µl of amplification reaction mixture containing 75 mM
Tris-HCl (pH 7.9 at 25°C), 1.5 mM MgCl2, 20 mM
(NH4)2SO4, 0.01% (wt/wt) Tween 20, each deoxynucleoside triphosphate at a concentration of 400 mM, 2 U of
Red GoldStar DNA polymerase (EUROGENTEC SA, Seraing, Belgium), and 25 ng of primer from either OPERON H and G primer kits (OPERON Technologies, Inc., Alameda, Calif.) or kits 60, 70, and 80 (EUROGENTEC SA). PCR amplifications were performed with a model PTC 100 thermocycler (MJ Research Inc., Watertown, Mass.) by using the
following protocol: an initial step consisting of 94°C for 1 min; 45 cycles consisting of denaturation at 94°C for 1 min, annealing at
36°C for 1 s, and extension at 72°C for 1 min; and finally a
single extension step consisting of 72°C for 2 min. The PCR
amplification products were then maintained at 10°C until
electrophoresis analyses were performed.
Simplified AFLP procedure.
The AFLP procedure performed was
a simplified version of the AFLP procedure described previously
(21, 26). The previously described method was modified in
order to provide data for short procaryotic genomes by using standard
visualization of PCR products after separation by agarose gel
electrophoresis and staining with ethidium bromide. To do this, we used
both a single four-base endonuclease (MspI, CCGG) and
discriminating primers with three nucleotides downstream from the
MspI site which allowed selective amplification of an
average of four to five amplified bands; the number of bands depended
on the G+C content of the genome. Under these conditions, p(C) = p(G)
and p(A) = p(T) were the probabilities of occurrence of the bases at
each nucleotide position, p(X1), p(X2), and p(X3) were the
probabilities of occurrence of the three nucleotides downstream from
the restriction site, and N was the number of base
pairs in the genome. The average number of fragments (n) selectively amplified under stringent conditions
was n = N × p(C)4 × p(X1)2 × p(X2)2 p(X3)2. As
determined with this formula, when N = 5,000,000 bp and
p(C) = p(A) = 0.25, n = 5 × 106 × p(0.25)10 = 4.77.
Adaptors were constructed with a 22-bp oligonucleotide (Fig.
1). To do this, 20 µg (2 µg
µl
1) of oligonucleotide in TE8 buffer (25 mM Tris-HCl,
5 mM EDTA; pH 8) was heated at 65°C for 10 min and then kept at room
temperature for 1 h to allow the oligonucleotide to autohybridize.
The resulting double-stranded molecules (20 µg) were then
digested with 100 U of TaqI endonuclease
(EUROGENTEC SA) at 65°C overnight in order to obtain
double-stranded 11-bp oligonucleotides with a
GC5'-PO4 cohesive end.

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FIG. 1.
Synthesis of 11-bp adaptors by digestion of annealed,
symmetrical, 22-bp oligonucleotides with TaqI.
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|
To prepare template DNA, bacterial DNAs were digested with
MspI and were ligated to adaptors simultaneously in a single
step.
Original
MspI sites were not restored after the
adaptors were
ligated, which prevented digestion of ligation products.
The following
two types of bacterial DNA preparations were used to
obtain DNA
templates: 500 ng (1 µl) of purified DNA in TE8 buffer and
10
µl of supernatant from bacterial suspensions (10
8 CFU
ml
1) in sterile distilled water which were
previously boiled for
10 min and centrifuged at 13,000 ×
g for 10 min at room temperature.
Digestion and ligation
were performed for 3 h at 37°C in 60 µl
(final volume) of
ligase buffer (50 mM Tris-HCl, 10 mM MgCl
2,
20 mM
dithiothreitol, 1 mM ATP; pH 7.9) containing 10 U of
MspI
(EUROGENTEC SA) and 1 U of T4 DNA ligase (EUROGENTEC SA). The
enzymes were inactivated at 65°C for 20 min. The DNA templates
were
then stored at 4°C until they were used.
MspI restriction fragments tagged with the specific adaptors
were used as template DNAs for selective PCR amplification directed
by
single 16-bp primers with constant peak complementary to the
adaptor
sequence and the
MspI site and a 3-nucleotide variable
portion at the 3'-OH end.
DNA amplification reactions were carried out in 50-µl reaction
mixtures. A 1-µl portion of ligation products was added to
49 µl of
amplification reaction mixture containing 75 mM Tris-HCl
(pH 9 at
25°C), 1.5 mM MgCl
2, 20 mM
(NH
4)
2SO
4, 0.01% (wt/wt) Tween
20, each deoxyribonucleoside triphosphate at a concentration of
200 mM, 2 U
of Red GoldStar DNA polymerase (EUROGENTEC SA), and
40 pmol of each of
the primers used (EUROGENTEC SA). Amplifications
were performed with a
model PTC 150 thermocycler (MJ Research)
by using the following
protocol: an initial step consisting of
94°C for 1 min; and 35 cycles consisting of denaturation at 94°C
for 1 min, annealing at 60 or 66°C for 1 min, and extension at
72°C for 1 min. The PCR
products were then kept at 10°C until
electrophoresis. All PCR
amplifications were repeated at least
twice with different DNA
preparations.
Electrophoresis.
Portions (7 µl) of amplification products
were separated by electrophoresis in 2% agarose gels (IDna, FMC
Bioproducts, Rockland, Maine) in TAE buffer (40 mM Tris-acetate, 1 mM
EDTA; pH 8) for 30 min at 100 V. The gels were then stained with
ethidium bromide and photographed under UV light (wavelength, 360 nm).
Data analysis.
Each amplification band was treated as a unit
character and was scored as 1 (present) or 0 (absent) for all strains,
which allowed us to construct a distance matrix by using the Jaccard coefficient (19). The presence-absence matrices were used
for parsimony analyses, and the distance matrices were used to
construct dendrograms with the method of Fitch and Margoliash
(6), the unweighted pair group method (19), and
the neighbor-joining method (17) with the DNAPAR and MIX
software of the PHYLIP package (5). The strength of the tree
topology was assessed by the bootstrap method with the CONSENSE
software of PHYLIP.
 |
RESULTS AND DISCUSSION |
In this study, we assessed the suitability of RAPD and AFLP
techniques for rapid molecular characterization of
plant-pathogenic bacteria, especially at the pathovar and
strain levels.
However, the parameters of the reactions must be determined to obtain
reliable results. PCR amplification in RAPD analyses and DNA ligation
in AFLP analyses were carried out either with a purified DNA solution
(2 ng ml
1) or with bacterial suspensions
(A260 = 0.3). Simple boiling of bacterial cells
produced DNA in suitable quantity and quality to allow PCR
amplification in the RAPD procedure. An additional step (centrifugation
of bacterial lysates at 13,000 rpm for 5 min) was required to obtain
reliable DNA ligations in the AFLP procedure (data not shown). Thus, at
least in the case of P. syringae cultivated on King's
medium B, it was not necessary to perform a complex extraction
procedure to purify the genomic DNA used as a template for RAPD and
AFLP analyses. By reducing the number of manipulations this method
limits cross-contamination risks. Moreover, preparations can be
obtained quickly and without the use of toxic products, which is useful
for fast routine diagnosis performed with numerous strains.
Various primers were tested for efficacy in the RAPD and AFLP methods,
and the primers listed in Tables 2 and
3 were selected because they gave readily
interpretable and reproducible results. All of these primers had G+C
contents greater than 60 mol%, while the genome G+C content of
P. syringae is 59 to 60 mol% (3).
The number of DNA bands observed after electrophoresis of the PCR
products obtained with 12 primers varied from 24 to 34 in the RAPD
analysis and from 24 to 37 in the AFLP analysis (data not shown).
Depending on the strain, 132 and 100 different DNA bands were used for
the analyses of RAPD and AFLP results, respectively. The 30 strains
produced 27 patterns, and almost every strain produced a unique
pattern; the only exceptions were four Canadian strains (JN51, JN52,
JN53, and JN54) which produced the same pattern in all of the analyses.
The genetic distances between strains were calculated (Table
4). The trees obtained by the
distance-based methods (Fitch-Margoliash, neighbor-joining, and
unweighted pair group methods), as well as the parsimony method,
were very similar in both the RAPD and AFLP analyses. The consensus
tree and bootstrap data are shown in Fig.
2.

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FIG. 2.
Dendrograms showing the genetic relatedness of
P. syringae and P. viridiflava strains
based on RAPD and AFLP analyses. The trees were constructed by the
neighbor-joining (NJ) method. A, D, M, N, and Q indicate
genomic groups determined by PCR-RFLP analysis of the
rrn operon (12), and sp. I, sp. II, sp. III, and
sp. VI indicate the genomic species determined by DNA-DNA
hybridization (18). The scale indicates the amount of
difference. The numbers on the branches indicate the bootstrap
percentage at each node. +, strain pathogenic on tomato; , strain not
pathogenic on tomato.
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|
In the present analysis, P. viridiflava CFBP 2107, P. syringae pv. syringae CFBP 1392, and
P. syringae pv. phaseolicola CFBP 1390 were
used as outgroups in order to check the usefulness of the techniques
for separating taxa determined by other analyses since these three
strains belong to three different genomic species (18) and three different ribotypes (12). In
addition, P. syringae pv. maculicola CFBP 1637, which
has been determined to be an atypical strain of P. syringae pv. maculicola by DNA pairing analysis (6a, 18), was also included in the study.
The genetic distances calculated from the AFLP and RAPD data correlated
well (Fig. 3), indicating that if a
sufficient number of independent markers are considered (100 and 132 bands were used in the AFLP and RAPD analyses, respectively) the two
methods provide essentially the same information and are useful for
exploring the genetic diversity of P. syringae.
Nethertheless, compared to the RAPD method, the AFLP method resulted in
clearer delineation between the genetic distances calculated for
members of different genospecies and the genetic distances calculated
for members of the same genospecies (Fig. 3 and
4). As a consequence, the
neighbor-joining method provided a significant delineation (bootstrap
value, 97%) of genospecies III (P. tomato) with the
AFLP data, while the delineation obtained with the RAPD data was not
significant (Fig. 2). Why AFLP data provided better discrimination of
intraspecific distances is not known, but we assumed that this finding
could be related to the restriction pretreatment which excluded almost
all tandem amplification, in contrast to what could happen with the
RAPD technique. Strains belonging to the same genospecies were 57 to 100% similar (Table 4) (distance value = 1
similarity),
while the average level of similarity between bacteria belonging to different species was only 25% ± 8.5% (at the P = 0.05 level), with a maximum value of 41% in one instance. These
results suggest that the AFLP method, but not the RAPD method, could be
used as a rapid and efficient alternative to DNA pairing to verify if a
new isolate belongs to the genospecies P. tomato, as
has been suggested for other bacterial species (10), even if
additional studies are necessary (4).

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FIG. 3.
Correlation between the genetic distances calculated
with AFLP data and the genetic distances calculated with RAPD data.
Data points indicate combinations of genetic distances calculated for
pairs of isolates. A total of 27 strains were tested in the study
(linear correlation, P < 0.0001, r2 = 0.76).
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FIG. 4.
Histograms of intraspecific and interspecific genetic
distances calculated with RAPD and AFLP data.
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Takikawa et al. (20) could not distinguish P. syringae pv. tomato and P. syringae pv. maculicola
with several physiological and biochemical tests. Similarly, we were
not able to discriminate between the two pathovars with pathogenicity
tests performed with susceptible tomato plants. All strains of
P. syringae pv. tomato and P. syringae
pv. maculicola, as well as a strain of P. syringae pv.
apii and a strain of P. syringae isolated from
Euphorbia pulcherrima, gave symptoms typical of bacterial
speck on leaves of tomato (L. esculentum cv. Montfavet 63.4)
(Table 1). This is consistent with the fact that P. syringae pv. apii was previously found to be very similar to
P. syringae pv. tomato (8). RAPD and AFLP techniques have the potential to distinguish these very closely related
pathovars. These techniques clustered most strains of P. syringae pv. maculicola in a group designated maculicola and the
strains of P. syringae pv. tomato in a group designated
tomato (Fig. 2). Our results therefore support the idea that genetic diversity occurs in relation to the host plant, suggesting that groups
of strains belonging to genomic species III (P. tomato) evolved independently with the host plants but that
pathogenic specialization for the hosts did not occur.
Surprisingly, some strains belonging to P. syringae pv.
tomato or P. syringae pv. maculicola were not included
in the group, as expected from their pathogenic behavior. Strain CFBP
2212 of P. syringae pv. tomato was not a member of the
tomato group, as defined in the present study (Fig. 2). This is rather
worrying because strain CFBP 2212 is the type strain of P. syringae pv. tomato. In addition, strains CFBP 1740 and CFBP
1637 of P. syringae pv. maculicola were clearly
distinct from all other P. syringae pv. tomato and
P. syringae pv. maculicola strains tested (Fig. 2). The
differences between strain CFBP 2212 and the other strains of
P. syringae pv. tomato were not, however, as pronounced
as the differences between CFBP 1740 or CFBP 1637 and the members of
the maculicola group; 78% of the CFBP 2212 DNA bands were found in
other P. syringae pv. tomato strains in the tomato
group, while only 53 and 25% of the CFBP 1740 and CFBP 1637 bands,
respectively, were found in other strains in the maculicola group.
P. syringae pv. maculicola CFBP 1637 and CFBP 1740 were
located outside the lineage containing the tomato and maculicola
groups. Interestingly, these two P. syringae pv.
maculicola strains grouped with the other P. syringae
pv. maculicola strains when an analysis of the diversity within a
single locus (the rrn operon) was performed (12).
Inconsistencies between the results of the single-locus and multilocus
analyses of these bacterial genomes indicate that dramatic
rearrangements may have occurred in these strains. We assume that
horizontal transfer of genetic elements or large deletions or
inversions occurred, and this may explain the unexpected position of
strains CFBP 1637 and CFBP 1740. This may indicate that the genospecies
P. tomato may not be as clonal as described by Maynard Smith et al. (13) on the basis of the data of Denny et
al. (2) when additional strains are considered. Thus,
conclusions concerning the clonality of bacterial populations
depend on the strains analyzed. In the present case, we had to consider
the fact that strains CFBP 1637 and CFBP 1740 were isolated in 1965 and
1970, respectively, and were stored in various collections for about 30 years. They were subcultured numerous times between two periods of
conservation by lyophilization and freezing. Thus, selection of
bacterial clones with dramatic internal genomic rearrangements
might have occurred during their disturbed history, and this may
explain their present location outside the maculicola lineage.
RAPD and AFLP techniques allowed very fine discrimination close to the
strain level, clearly and reliably differentiating bacterial isolates;
the 30 strains tested produced 27 DNA band patterns in both analyses.
Most strains were therefore identified by a particular pattern; the
notable exceptions were strains JN51, JN52, JN53, and JN54, which
grouped together in both analyses (Fig. 2). Strains JN51 and JN52
belong to race 0 while strains JN53 and JN54 belong to race 1, and all
of these strains were isolated in Canada. As host specificity is
determined by a single locus, avrPto (16), a
single genetic modification could be responsible for race
differentiation. Thus, we speculate that the race differentiation of
these four isolates is a recent event which probably occurred within a
poorly differentiated population responsible for outbreaks in Canada.
The two techniques which we used could provide useful epidemiological
markers. Strain JN20.1 is a streptomycin-resistant strain isolated from
an experimental field plot previously infected with streptomycin-resistant strain 1427st. Strain JN20.1 was assumed to be a
reisolate of the inoculated strain since its RAPD and AFLP patterns are
very similar to the parental inoculant patterns (98% of the DNA bands
in common) and both strains are resistant to streptomycin. Similarly,
strains JN8.5 and JN8.10 isolated during the same outbreak from two
different radish plants had very similar band patterns (98% of the DNA
bands in common).
In conclusion, both techniques which we used generated specific
genomic patterns which differentiated closely related strains. Unique fingerprint profiles generated by the RAPD and AFLP techniques can be exploited for strain identification purposes, and they can be
useful in epidemiological studies to determine the origin of a
bacterial population responsible for a given outbreak. Evolutionary distinctions between P. syringae pv. tomato and
P. syringae pv. maculicola can be discerned. Both
pathovars might have originated from a single evolutionary line which
diverged into two distinct lineages due to the plant environment,
including plant dispersal of the pathogen. These results raise
questions about the role and the influence of environmental factors on
the evolution of the genome. Thus, we suggest that the host plant from
which bacteria were isolated could be an important factor in the
plasticity of the bacterial genome.
 |
ACKNOWLEDGMENTS |
This research was supported by grants from the Institut National
de la Recherche Agronomique, France ("AIP Génome des
Bactéries Pathogènes") and from the Bureau des Ressources
Génétique, France (BRG) ("Recherches
méthodologiques pour l'amélioration des processus de
gestion et de conservation des ressources génétiques animales, végétales et microbiennes").
A.C. received a fellowship from the DEA d'Ecologie Microbienne,
Université Claude Bernard, Lyon I. We thank Chrystelle Brin for
skillful technical assistance.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Station de
Pathologie Végétale, Institut National de la Recherche
Agronomique, 42, rue Georges Morel, BP 57, 49071 Beaucouzé,
France. Phone: (33) 2.41.22.57.17. Fax: (33) 2.41.22.57.05. E-mail: manceau{at}angers.inra.fr.
 |
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