Mycol. Res. 109 (11): 1276–1287 (November 2005). f The British Mycological Society
1276
doi:10.1017/S0953756205003928 Printed in the United Kingdom.
Phylogenetic analysis and Real Time PCR detection of a
presumbably undescribed Peronospora species on sweet basil
and sage
Lassaad BELBAHRI1*, Gautier CALMIN1, Jan PAWLOWSKI2 and Francois LEFORT1
1
Laboratory of Applied Genetics, School of Engineering of Lullier, University of Applied Sciences of Western Switzerland,
150 Route de Presinge, 1254 Jussy, Switzerland.
2
Department of Zoology and Animal Biology, University of Geneva, Sciences III ; 30, quai Ernest-Ansermet, 1211 Geneva,
4, Switzerland.
E-mail : lassaad.belbahri@etat.ge.ch
Received 20 February 2005; accepted 21 July 2005.
Downy mildew of sweet basil (Ocimum basilicum) has become a serious disease issue for the producers of sweet basil in
Switzerland since it was first recorded in 2001. Reported in Africa in Uganda as early as 1933, major outbreaks of this
disease in Europe were first noted in Italy in 1999 and in the USA from 1993. Previous reports have named the pathogen
as Peronospora lamii. Its preferential hosts belong to the Lamiaceae family including basils (Ocimum spp.), mints (Menta
spp.), sages (Salvia spp.) and other aromatics. This study investigated the taxonomic status of the downy mildew
pathogen, using both morphological characters and molecular analysis of the ITS region of the rDNA. The inherent
variability of conidial dimensions made species differentiation difficult. Sequence homology and phylogenetic analysis of
nine collections of the Peronospora on sweet basil showed unique ITS sequences distinct from those of P. lamii and any
other sequenced Peronospora species. This paper describes and illustrates the morphology of this presumably undescribed
species of Peronospora. Its taxonomic position and relationships with other related species in the same genus are
presented and discussed. In addition to this work, PCR primers for real time PCR analysis have been developed for the
specific detection of this downy mildew pathogen from infected tissues or seeds. It is shown that these primers can also be
used in classic PCR.
INTRODUCTION
The common sweet basil (Ocimum basilicum) with its
several cultivated varieties is an annual aromatic plant,
widely grown because of its pleasant odour and taste.
It is an economically important herb in several
Mediterranean and European countries where it has
been a culinary herb since before the written world. In
Switzerland approximately 9 ha are grown annually for
fresh and processed consumption and large quantities
imported mainly from France, Morocco, Israel and
Brazil.
Downy mildew proved recently to be one of the most
destructive diseases of sweet basil. Since the disease was
first recorded in Switzerland in 2001 (Heller & Baroffio
2003, Lefort, Gigon & Amos 2003), it has become
prevalent, affecting most plants each season. Typically,
leaves of infected plants were initially slightly chlorotic,
especially near the central vein. Within 2–3 d, a
characteristic grey to brown, furry growth was evident
* Corresponding author.
on the lower epidermis of infected leaves. These symptoms sometimes occurred on the upper epidermis of
leaves (Garibaldi et al. 2004). The pathogen can spread
rapidly through the plants, under conditions of high
humidity and cool temperatures, causing complete crop
losses in some greenhouses. In the past years, based on
epidemiological data and microscopic observations, the
pathogen responsible for downy mildew disease on
Lamiaceae was reported as the straminipile
Peronospora lamii on basil plants in Benin (Gumedzoe
et al. 1998), Italy (Martini et al. 2003), Switzerland
(Heller & Baroffio 2003, Lefort et al. 2003), and as
Peronospora sp. in Italy (Garibaldi et al. 2004). On
Lamium, Salvia and other aromatic plants, it was
reported as P. lamii in Austria (Plenk 2002), Israel
(Gamliel & Yarden 1998), Italy (Minuto, Pensa &
Garibaldi 1999, Voltolina 2001), New Zealand
(Hill, Pearson & Gill 2004) and the USA (McMillan
& Graves 1994, Byrne 2000, 2001, Holcomb 2000,
Leahy 2001, Klassen 2002). It was also reported on
Lamium maculatum and L. rubrum in the UK (Bentley
1980).
L. Belbahri and others
In recent times, four Peronospora species have been
recorded as infecting species of the Lamiaceae family
which includes basil (Ocimum spp.), mint (Menta spp.),
sage (Salvia spp.) and other aromatics (Hansford 1933,
Holcomb 2000, Voglmayr 2003, Garibaldi et al. 2004,
Hill et al. 2004). In addition, it has to be mentioned that
many more species have been described from
Lamiacea, of which the status as distinct species is
mostly unclear or doubtful (Constantinescu 1991).
However, the status of these species is complicated.
According to previous publications (Bentley 1980,
Holcomb 2000, Voglmayr 2003), P. lamii infects
Lamium, Salvia, and possibly a few other plants in the
mint family. ITS sequences from this species are available from an isolate from L. purpureum (Voglmayr
2003). P. stigmaticola infects Mentha longifolia and ITS
sequences are also available (Voglmayr 2003). The type
host of P. swinglei also belongs to the genus Salvia
(S. reflexa), and it has been recorded from several
Salvia spp., such as S. officinalis, in both the USA and
Europe (Müller 1999). It should be noted that the
identity of the North American and European
‘P. swinglei ’ has not been demonstrated by molecular
studies, and investigations from the North American
type hosts are needed to clarify that question.
Peronospora sp. has been recorded on sweet basil plants
(Garibaldi et al. 2004) and on sage (this study). This
last species was differentiated from P. lamii on the basis
of the smaller average conidial dimensions of the latter
on Salvia splendens and S. coccinea. Conidia measured
were 21r18 mm (16–26r15–23) for P. lamii, and
28r22 mm (20–35r15–25) for the parasite of Salvia
and Ocimum basilicum (Holcomb 2000, Garibaldi et al.
2004). Species differentiation on morphological
characteristics alone is problematic as these can change
with host genotype and environmental conditions (Hall
1996) or with the conservation state of the sample.
A more accurate circumscription of species may be
obtained by combining phylogenetic analysis of molecular characters with morphological characters (Scott,
Hay & Wilson 2004). Previous studies have shown the
ITS regions of rDNA to be useful for the differentiation
of downy mildew species and related organisms at the
species level (Crawford et al. 1996, Cooke et al. 2000,
Constantinescu & Fatehi 2002, Voglmayr 2003, De
Cock & Lévesque 2004).
Knowledge of host specificity of a pathogen has
important implications, such as understanding the role
of alternate hosts in the epidemiology of the disease or
the potential for host range expansion (LindqvistKreuse, Koponen & Valkonen 2002). Host specificity
of isolates of these three species has not been studied.
However, the host ranges of the three Peronospora
species in question exhibit a degree of overlap. Of the
known host species present in Switzerland, Ocimum
basilicum is an introduced aromatic plant, in contrast
to Salvia officinalis and Mentha which have wild
relatives growing all over Switzerland and often in close
proximity to the fields of cultivated aromatic plants.
1277
The three main forces introducing genotypic variations
into a pathogen population are mutation, recombination and migration (Burdon & Silk 1997). Neither
the distribution nor the genetic variability of these
species have been studied. However, since Peronospora
on sweet basil is not endemic in Switzerland, the disease
was not known and described before and no herbarium
samples were found to be infected, it is likely that the
pathogen was introduced. It should be noted that seeds
of sweet basil and sage plants were imported by growers into Switzerland, suggesting that the origin could
reside in contaminated seeds or the large quantities of
basil cuttings imported from all over the world, mainly
from France, Israel, Morocco, Germany, Brazil, and
other parts of Europe.
Basil downy mildew control will benefit from a rapid
and reliable detection method. Since downy mildew
species were not characterized at the genetic level and
no proteins were described, diagnostic approaches
based upon serology would not be available within a
reasonable time. As a result, a variety of alternative
diagnostic approaches have been used for detecting
downy mildew pathogens, including microscopic
examination (Holcomb 2000), bioassays (Garibaldi
et al. 2004, Catherine Baroffio, pers. comm.), nucleic
acid hybridization (De Cock et al. 1998) as well as PCR
(Lindqvist-Kreuse et al. 2002, Scott et al. 2004).
Despite the multiple advantages of PCR-based
methods over other techniques, they are also subject to
practical limitations for routine diagnostic purposes : in
particular they tend to be labour intensive and as ‘open
tube ’ methods, the risk of carry-over contamination
and the possibility of false positive results remains. The
use of homogeneous assay systems such as Real Time
fluorescent PCR has been successfully applied to the
detection of plant viruses (Mumford et al. 2000,
Korimbocus et al. 2002, Boonham et al. 2002, 2004),
the oomycete Phytophthora ramorum (Ivors, Wilkinson
& Garbelotto 2003) and Peronospora parasitica
(Brouwer et al. 2003). Typically, in a real-time PCR
amplification, the accumulation of the amplicon is
monitored for each cycle based on the emission of fluorescence (Mackay, Arden & Nitsche 2002). Amplicons
are detected using different chemical methods, divided
into either amplicon specific detection methods
(Holland et al. 1991, Tyagi & Kramer 1996, Wittwer
et al. 1997, Whitcombe et al. 1999) or amplicon nonspecific methods (Morrison, Weiss & Wittwer 1998).
Though the advantage of amplicon specific detection
methods is the high specificity of the generated fluorescent signal, different amplicon detection requires
different probes. This disadvantage does not apply
to amplicon non-specific detection chemistries that
are based on fluorophores which intercalate inside
double-stranded DNA. Such fluorophores can also
associate with primer-dimers and non-specific amplification products, which may seriously disturb the
interpretation of results. However, a melting curve
analysis at the end of the PCR to identify the product
An undescribed Peronospora sp. pathogen of basil and sage
allows an accurate estimation of the PCR amplification.
The main objectives of the present study were to
determine the inter- and intra-specific relationships of
downy mildew pathogens of the Lamiaceae based on
DNA sequence analysis of the ITS1, 5.8S gene, and
ITS2 region, and morphological dimensions of conidia.
A secondary objective was to develop Real Time PCR
primers for the specific detection of the sweet basil
downy mildew pathogen, with the goal to assess
seed borne downy mildew and for environmental
monitoring of the pathogen.
MATERIALS AND METHODS
Sample collection
Infected leaf samples were collected from commercial
sweet basil and sage plants in greenhouses and open
fields in the Lake Geneva region, and also obtained
from some other areas with records of Peronospora
lamii or Peronospora sp. on sage and sweet basil around
the world (Table 1). When no conidiophores were
present after observation under the binocular microscope, leaves were incubated in sealed trays containing
damp tissue at 100 % humidity, and 12 xC in the dark
for 12 h to induce sporulation. Conidia were washed
from leaves into centrifuge tubes with distilled water.
Conidial suspensions were concentrated by centrifugation at 3000 g for 20 min at room temperature, and
the supernatant removal by pipetting. Conidia and
conidiophores were stained with a standard Lugol’s
iodine solution.
Morphological observations
The morphology of the available asexual structures of
collected specimens was observed visually at a 400 fold
magnification with an HBO50 AC microscope with
CP-Achromat objectives (Carl Zeiss, Feldbach).
Observations were compared with the published descriptions (Garibaldi et al. 2004) of Peronospora species
known to infect members of the Lamiaceae family.
Conidia were measured at a 400 fold magnification
obtained with an AxioCam MRC camera (Carl Zeiss)
and processed with the Axiovision 3.1.21 software
(Carl Zeiss). The first 100 conidia observed from the
different samples analysed were measured, with misshapen, or dehydrated, conidia ignored. Statistical
analysis of conidial dimensions was carried out using
analysis of variance (ANOVA) in the software program
Minitab v.13.31 (Minitab, State College).
DNA extraction
DNA was purified from conidial suspensions, infected
basil tissue and seeds with the use of the DNA-Easy
Plant Mini kit (Qiagen, Basel), according to manufacturer’s specifications. Quality was checked by
visualization under UV light following electrophoretic
1278
separation with a molecular mass standard (HindIII/
EcoRI DNA Marker, Biofinex, Praroman) in 1 %
agarose (Biofinex) gel in 1r TBE, subjected to 100 V for
1 h and stained with ethidium bromide (0.5 mg mlx1).
Concentrations were assayed in a S2100 Diode Array
spectrophotometer (WPA Biowave, Cambridge, UK).
DNA amplification
ITS amplifications of downy mildew samples (Table 1)
were carried out using previously described universal
primers ITS4 and ITS6 that target conserved regions in
the 18S and 28S rRNA genes (Table 2 ; White et al.
1990, Cooke et al. 2000). The reaction mixture contained 1r PCR buffer (75 mM Tris-HCl (pH 9.0),
50 mM KCl, 20 mM (NH4)2 SO4), 0.1 mM dNTPs,
0.25 mM of each primer, 1.5 mM MgCl2, 1 U of Taq
Polymerase (Biotools, Madrid) and 1 ml of conidial
DNA in a total volume of 50 ml. Amplifications were
carried out in a Master Gradient thermocycler
(Eppendorf, Schönenbuch) according to the following
amplification programme : an initial denaturation step
of 95 x for 2 min followed by 30 cycles including denaturation for 20 s at 95 x, annealing for 25 s at 55 x and
extension for 50 s at 72 x. Amplification was terminated
by a final extension step of 10 min at 72 x (Cooke et al.
2000). PCR products were separated in 1% agarose
(Biofinex) gels in 1r TBE, subjected to 100 V for 1 h,
stained with ethidium bromide (0.5 mg lx1) and visualised under UV light.
Conidial suspensions known to contain contaminants from non-oomycete species or infected plant
tissues were submitted to a preliminary step in a seminested protocol using the primer DC6 (Table 2). DC6,
used in combination with the primer ITS4, specifically
amplified members of the orders Pythiales and
Peronosporales (Cooke et al. 2000). The first step of the
nested protocol was carried out using the primers DC6
and ITS4 in a 25 ml reaction mixture. Reaction mixture
contents and thermocycler settings were as described
above. Following amplification, a 1 ml aliquot of the
reaction product was substituted to the conidial DNA
as template in reaction described above.
DNA sequencing and phylogenetic analysis
Amplicons were purified using a Minelute PCR
Purification Kit (Qiagen, Holubrechtikon), according
to manufacturer’s specifications. Quantity and quality
were checked as described above for DNA extraction.
Amplicons were sequenced directly in both sense
and antisense directions. All pathogen samples were
sequenced twice and a consensus sequence was created
from the duplicates. DNA sequences have been
deposited in GenBank (Table 1).
Sequences were aligned manually using Seaview
(Galtier, Gouy & Gautier 1996). The maximum likelihood (ML) trees were obtained using the PhyML
program (Guindon & Gascuel 2003) with the HKY
L. Belbahri and others
1279
Table 1. List of species and specimens included in the study.
Species
Collectiona
Host
Origin
Peronospora sp.
Peronospora sp.
Peronospora sp.
Peronospora spb.
Peronospora sp.
Peronospora sp.
Peronospora sp.
Peronospora sp.
Peronospora sp.d
P. conglomeratac
P. conglomerata
P. sordidac
P. sordida
P. radii
P. lamii c
P. lamii
P. stigmaticola
P. arborescens
P. chenopodii-polyspermi
P. kochiae-scopariae
P. tabacina
P. obovata
P. rumicis
P. boni-henrici
P. chenopodii
P. holostei
P. destructor
P. polygoni
P. claytoniae
P. arenariae
P. alsinearum
P. trivialis
P. paula
P. parva
P. arthurii
P. esulae
P. chrysosplenii
P. dicentrae
P. bulbocapni
P. alpicola
P. pulveracea
P. aff. Ranunculi
P. illyrica
P. ranunculi
P. alta
P. flava
P. arvensis
P. agrestis
P. grisea (V. beccabunga)
P. grisea (V. serpyllifolia)
P. violae
UASWS0007
UASWS0008
UASWS0009
UASWS0010
UASWS0033
UASWS0034
UASWS0035
UASWS0036
UASWS0037
WU22894
Ocimum basilicum
O. basilicum
O. basilicum
Salvia officinalis
Ocimum basilicum
O. basilicum
O. basilicum
O. basilicum
O. basilicum
Geranium molle
G. molle
Scrophularia nodosa
S. nodosa
Anthemis austriaca
Lamium purpureum
L. purpureum
Mentha longifolia
Papaver rhoeas
Chenopodium polyspermum
Bassia scoparia
Nicotiana alata
Spergula arvensis
Rumex acetosa
Chenopodium bonus-henricus
C. album
Holosteum umbellatum
Geneva, CH
Geneva, CH
Geneva, CH
New Zealand
Geneva, CH
Geneva, CH
Geneva, CH
Geneva, CH
Italy
Austria
GenBank
Austria
GenBank
GenBank
Austria
Genbank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
GenBank
a
b
c
d
WU22894
WU22907
Polygonum aviculare
Claytonia virginica
Moehringia trinervia
Stellaria media
Cerastium holosteoides
C. holosteoides
Stellaria holostea
Oenothera biennis agg.
Euphorbia esula
Chrysosplenium alternifolium
Dicentra canadensis
Corydalis cava
Ranunculus aconitifolius
Helleborus niger
Ranunculus recurvatus
R. illyricus
R. acris
Plantago major
Linaria vulgaris
Veronica triloba
V. chamaedrys
V. beccabunga
V. serpyllifolia
Viola arvensis
Source
year
GenBank
accession no.
2003
2003
2004
2003
2004
2004
2004
2004
2005
1999
AY831719
AY831720
AY831721
AY831722
AY884603
AY884604
AY884605
AY884606
AY919301
AY919304
AY198246
AY919302
AY198247
AY198296
AY919303
AY198261
AY198295
AY198292
AY198291
AY198290
AY198289
AY198288
AY198287
AY198286
AY198285
AY198283
AB021712
AY198282
AY198281
AY198280
AY198279
AY198278
AY198277
AY198276
AY198284
AY198275
AY198274
AY198273
AY198272
AY198271
AY198270
AY198269
AY198268
AY198267
AY198248
AY198245
AY198244
AY198243
AY198242
AY198241
AY198240
1999
1999
Collection numbers for specimens sequenced in this study.
Sample provided by Eric McKenzie.
Sample provided by Hermann Voglmayr.
Sample provided by Patrizia Martini.
(Hasegawa, Kishino & Yano 1985) model allowing
transitions and transversions to have potentially different rates and General Time Reversible (GTR) model
allowing all rates to be different (Lanave et al. 1984,
Rodriguez et al. 1990). In order to correct the amongsite rate variations, the proportion of invariable sites (I)
and the alpha parameter of gamma distribution (G),
with eight rates categories, were estimated by the
program and taken into account in all analyses. Nonparametric ML bootstraps (with 100 replicates) were
calculated using PhyML. Bayesian inferences (BI) were
obtained with MrBayes v.3.0 (Huelsenbeck & Ronquist
2001), using the same models of DNA evolution as
for the ML analyses. The program was run for 1 M
An undescribed Peronospora sp. pathogen of basil and sage
1280
Table 2. PCR primers used in this study: oligonucleotide sequences and location within the genomic ribosomal RNA gene.
Primer
a
DC6
ITS6b
ITS4b
Bas-F
Bas-R
LAM-F
LAM-R
a
b
Sense
Sequence (5k p 3k)
Location
Forward
Reverse
Reverse
Forward
Reverse
Forward
Reverse
GAGGGACTTTTGGGTAATCA
GAAGGTGAAGTCGTAA
TCCTCCGCTTATTGATATGC
CCGTATCAACCCAATAATTTGGGGGTTAAT
TTACAATCGTAGCTACTTGTTCAGACAAAG
CACGTGAACCGTATCAAACACTTT
CGCCATGATAGGGCTTTCTCAA
18S gene
18S gene
28S gene
ITS1
ITS1
ITS1
ITS1
Bonants et al. (1997).
White et al. (1990).
generations, and sampled every 100 generations, with
four simultaneous chains. The trees, sampled before the
chains reached stationarity, were discarded. NJplot and
Treeview were used to view ML and Bayesian trees,
respectively.
Primer design and Real Time PCR analysis
Primers specific to the different samples of downy
mildew pathogens were developed through visual
comparison of the alignment of all sequences used for
the phylogenetic analysis (Table 2). Primers were
specifically designed to discriminate between Lamiales
downy mildew pathogens, particularly those infecting
the Lamiaceae family (Peronospora lamii, P. stigmaticola and Peronospora sp.). The specificity of potential
primers was further tested by BLAST (Altschul et al.
1997) searching GenBank for compatible sequences.
Following the identification of suitable target regions in
the sweet basil and sage Peronospora sequence, primers
were tested in real time PCR reactions against all
Peronospora spp. samples from Lamiaceae. Amplification mixtures (20 ml final volume), were made using
the Light Cycler Fast Start DNA Master SYBR Green
I kit, to which 1 ng of template DNA and primers at a
final concentration of 5 mM were added. Amplifications
were carried out in capped capillary tubes in a Lightcycler 2.0 Real time PCR systems (Roche Diagnostics,
Rotkreuz) using an initial denaturation at 95 x for
10 min, followed by 45 cycles of 95 x for 10 s, 70 x for
5 s and 72 x for 15 s. No post-PCR manipulations, such
as gel electrophoresis analysis, were required, hence
removing many of the contamination problems
associated with conventional PCR.
RESULTS
Morphological observations
All downy mildew samples obtained from all basil and
sage plants displayed sexual structures with general
morphological characteristics consistent with Peronospora spp. (Martini et al. 2003, Garibaldi et al.
2004) known to infect members of the mint family and
several Lamium spp. (Lamiaceae). Microscopic examination revealed conidiophores branching 2–7 times.
Conidiophores terminate with conidiogenous cells
bearing single conidia (data not shown). Conidia were
elliptical and greyish as described by Garibaldi et al.
(2004). The pathogen was identified as a Peronospora
sp. based on its morphological characteristics (Spencer
1981).
Mean conidial lengths of downy mildew samples
obtained from Switzerland were between 23–36 mm (av.
29 mm) ; the mean conidial breadths varied between
18–29 mm (av. 23 mm). Previously published mean
conidial lengths for P. lamii varied between 16 and
26 mm (av. 21 mm) and between 20 and 35 mm (av.
28 mm) for Peronospora sp. Published mean conidial
widths varied between 15 and 23 mm (av. 18 mm) for
Peronospora lamii and between 15 and 25 mm (av.
22 mm) for Peronospora sp. (Table 3).
Sequence analysis
The nine samples of downy mildew pathogens obtained
from Ocimum basilicum and Salvia officinalis in this
study were differentiated into five ITS sequence types.
These sequences differed at five nucleotide positions
in the ITS1 and ITS2 regions. Group 1 consisted of
three samples (UASWS0007, UASWS0008 and
UASWS0009). Group 2 included also three samples
(UASWS0033, UASWS0034 and UASWS0036).
However, Groups 3, 4 and 5 consisted of single samples
(UASWS0035, UASWS0037, and UASWS0010). Due
to the small number of samples analysed for conidial
dimensions (two samples), no correlation between ITS
grouping and conidial length could be established. The
sequence homology for the ITS region between samples
collected from sweet basil plants in this study and
P. lamii (GenBank accession No. AY198261 ; Voglmayr
2003) is about 88 %. However, downy mildew samples,
of the present study, had sequence homologies of
91–92 % with the relevant sequences obtained from
GenBank for the species Peronospora conglomerata,
P. sordida, P. radii and P. stigmaticola (GenBank
accession nos AY198246, AY198247, AY198296 and
AY198295, respectively; Voglmayr 2003).
Phylogenetic analysis
The position of representatives of each of the five
groups (UASWS0007 : AY831719, 10 : AY831722, 33:
AY884603, 35 : AY884605, and 37: AY919301)
L. Belbahri and others
1281
Table 3. Conidia dimensions of downy mildew species recorded on Ocimum and Salvia spp.
Length
Breadth
Collection
min.
mean
max.
min.
mean
max.
Host
Reference
UASWS0007
UASWS0009
Peronospora sp.
Peronospora lamii
Peronospora lamii
25.5
23.5
20
23
16
29.54
28.81
28
25.3
21
37
33.5
35
27.5
26
18.5
20
15
15
15
23.76
23.38
22
21
18
29
27.5
25
27
23
This study
This study
Garibaldi et al. (2004)
Martini et al. (2003)
Holcomb (2000)
Peronospora lamii
20
21
22
16
17
18
Ocimum basilicum
O. basilicum
O. basilicum
O. basilicum
Salvia splendens
S. coccinea
S. lanceolata
sequences and 37 additional sequences of Peronosporales, including representatives on Lamiales and
Ranunculates, was illustrated in Fig. 1. The tree was
rooted with Peronospora violae following Voglmayr
(2003).
In all analyses, the sequences AY831719, AY831722,
AY884603, AY884605 and AY919301 form a monophyletic group supported by high values of bootstrap
(BS) and posterior probabilities (PP) (100 % BS and
100 % PP). In the ML tree with GTR+G+I model
(Fig. 1), the new sequences form a sister group to the
clade of P. arvensis+P. agrestis+P. grisea. However,
the bootstrap support for this topology is very weak
(20 % BS). In the ML tree calculated with the HKY+I
model (results not shown), the new sequences form a
sister group to the cluster comprising P. conglomerata
and the clade containing P. arvensis+P. agrestis+P.
grisea, but without any significant bootstrap support
(data not shown). There is also weak support for the
position of the new sequences in the BI trees (results
not shown), where they branch as a sister group to
P. conglomerata with rather weak posterior probabilities (51x66% PP).
In general, the relations within the Lamiales clade are
not resolved, which is in agreement with previously
published analyses of Peronospora sequences
(Voglmayr 2003). In contrast to that study, however,
we did not find a strong support for a Lamiales clade,
possibly due to the limited number of outgroup
sequences in our data. On the other hand, both our and
Voglmayr’s analyses provide a congruent evidence for
the monophyly of Ranunculales clade, supported in our
analyses by 100 % BS and 99 % PP. The relationships
among this clade are also very similar in both our and
Voglmayr’s study.
Primer design and Real Time PCR analysis
The primer pair Bas-F/Bas-R produced a single band
approximately 134 base pairs in size for all downy
mildew (Peronospora sp.) specimens collected in this
study. No bands were produced when tested against
specimens of Peronospora lamii, P. conglomerata,
P. sordida or P. radii (Fig. 2). Cross amplification was
sometimes noticed with P. sordida only at high DNA
template concentration. Cross-reacting amplification
Hansford (1933)
peaks were delayed and under gel electrophoresis
analysis, related bands were fainter than the observed
bands for the sweet basil Peronospora sp. This is similar
to results of a study of Phytophthora ramorum and its
close relative Phytophthora lateralis (Ivors et al. 2003,
L. B., unpub. data). For Peronospora lamii, the same
specificity was observed with the primer pair Lam-F/
Lam-R which produced also a single band approximately 106 base pairs in size. No cross reactions were
noticed when this primer pair was tested against
Peronospora sp., P. conglomerata, P. sordida or P. radii
(Fig. 3). The primer pair Bas-F/Bas-R proved to be
very efficient for detecting Peronospora sp. in infected
seed batches (Fig. 4). Further screening of 11 commercial sweet basil batches with the protocol developed in
this study detected the presence of the Peronospora sp.
in nine of them (results not shown).
DISCUSSION
Mean conidial dimensions of specimens of downy mildew pathogens collected from basil plants in this study
were generally larger than those in previously published
accounts for Peronospora spp. known to infect sweet
basil species. Based on published records, conidial
dimensions of P. lamii ranged from 16–26r15–23 mm,
whilst those of Peronospora sp. were 20–35r15–25 mm.
In the present study, conidial dimensions were
23–36r18–29 mm. This overlap highlights the difficulty
of differentiating Peronospora spp. only on spore
dimensions, and emphasizes the need for alternative
means of identification. It is possible that part of the
overlap in conidial dimensions between P. lamii and
Peronospora sp. could be attributed to misidentification
of species in the past. In order to unambiguously define
the morphological dimensions of these two species,
it would be necessary to first correctly identify samples,
using methods such as the molecular techniques developed here.
Based on discrete variations at a few nucleotide sites
over the ITS regions, sweet basil Peronospora samples
of the present study were divided into two groups of
three samples, and three single distinct samples.
This level of variation is comparable to variability
recorded for P. sparsa samples on arctic bramble
An undescribed Peronospora sp. pathogen of basil and sage
1282
sp
Fig. 1. Phylogenetic position of UASWS0007, UASWS0010, UASWS0033, UASWS0035 and UASWS0037 inferred from
ITS sequences by using ML method with GTR+G+I model. The numbers at nodes are non-parametric bootstrap
values higher than 80 %. The length of branches is proportional to the number of substitutions per site as indicated in the scale.
L. Belbahri and others
1283
1 2 3 4 5 6 7 8 9 10 11
(A)
Peronospora sp.
P. lamii
P. sordida
P. conglomerata
P. radii
(B)
Amplification Curves
3.5
3.2
2.9
Fluorescence (530)
2.6
2.3
2
1.7
1.4
1.1
0.8
0.5
0.2
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Cycles
Fig. 2. Reaction of downy mildew samples to the PCR primer pair BAS-F and BAS-R. (A) Specificity of the primer pair
BAS-F and BAS-R at different temperatures with DNA from infected plant material with Peronospora sp., P. sordida,
P. conglomerata and P. radii. 1–11: annealing temperatures 53–73 xC. (B) Specificity of the primer pair BAS-F and BAS-R
in real time experiments. Rectangle and circle refer respectively to100 and 10 ng DNA of Peronospora sp. Triangle, inverted
triangle, cross and diagcross refer to 10 ng DNA from P. radii, P. lamii, P. sordida and P. conglomerata. Star refers to
negative control.
(Rubus arcticus) in a similar study in Finland, where six
variable nucleotide sites was recorded for the ITS1 and
ITS2 regions (Lindqvist-Kreuse et al. 1998). Also in a
study of P. cristata on oilseed poppy in Tasmania
(Scott et al. 2004), six variable nucleotide sites were
recorded. In our study, no geographical basis was evident for the groupings based on ITS sequences of the
Swiss and Italian samples ; this might be indicative of a
more recent introduction of the pathogen, primarily
spread by seed, and (or) long distance dispersal by wind
from a single geographic region each season. The New
Zealand specimen on Salvia officinalis has a slightly
different sequence from the specimens found on
Ocimum spp. Since Salvia officinalis is not closely
related to Ocimum basilicum, the Peronospora from
Salvia and Ocimum may represent separate lineages.
However, to date, the main source of the primary
inoculum of Swiss epidemics has not been identified.
Sequence analysis of the ITS region of sweet basil
Peronospora samples indicated that they have unique
ITS sequences different enough from those of any
described Peronospora species and mainly Peronospora
lamii (AY198261 ; Voglmayr 2003). This unknown
Peronospora sp. shared 88% sequence homology with
P. lamii, which was comparable to the sequence
homology observed between P. stigmaticola and P. lamii
(90 %), P. sordida and P. lamii (90 %), and less than
that observed for P. stigmaticola and P. radii (97 %).
Phylogenetic analysis of the ITS region consistently
indicated that sweet basil downy mildew samples in this
An undescribed Peronospora sp. pathogen of basil and sage
(A)
1
2 3
1284
4
5
6 7
8 9 10 11
P. lamii
Peronospora sp.
P. sordida
P. conglomerata
P. radii
(B)
Amplification Curves
4.1
3.7
3.3
Fluorescence (530)
2.9
2.5
2.1
1.7
1.3
0.9
0.5
0.1
1 2 3 4
5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Cycles
Fig. 3. Reaction of downy mildew samples to the PCR primer pair LAM-F and LAM-R. (A) Specificity of the primer pair
LAM-F and LAM-R at different temperatures with DNA from infected plant material with Peronospora sp., P. sordida,
P. conglomerata and P. radii.1–11 : annealing temperatures 53–73 xC. (B) Specificity of the primer pair LAM-F and
LAM-R in real time experiments. Rectangle and circle refer respectively to100 and 10 ng DNA of P. lamii. Triangle,
inverted triangle, cross and diagcross refer to 10 ng DNA from P. radii, P. sordida, P. conglomerata and Peronospora sp.
Star refers to the negative control.
study shared a common ancestor with all Peronospora
sequences we used. In all analyses, the sequences of
sweet basil downy mildew samples formed a monophyletic group supported by high bootstrap and
posterior probability values confirming the species
status of this pathogen. Analysis of the ITS region of
members of the Peronosporomycetes indicated that all
species parasitic on leaves of the Lamiales (sensu
Angiosperm Phylogeny Group 1998) were contained
within a highly supported clade in the Bayesian analysis, but not in the MP bootstrap tree generated by
Voglmayr (2003). In addition, P. conglomerata, a
species infecting the unrelated Geraniaceae, is a member of this clade, supported by the close phylogenetic
position and the high sequence homology we found
between the Peronospora sp. and P. conglomerata.
However, in contrast to Voglmayr’s study, we did not
find strong support for the Lamiales clade, possibly due
to the limited number of outgroup sequences in our
data. Interestingly, the floricolous Peronospora group
of the Lamiales is not closely related to this group but
has its closest relatives amongst the other floricolous
Peronospora species (Voglmayr 2003). In the study of
Voglmayr (2003), the floricolous Peronospora group
L. Belbahri and others
1285
Amplification Curves
4.4
4
3.6
Fluorescence (530)
3.2
2.8
2.4
2
1.6
1.2
0.8
0.4
0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
Cycles
Fig. 4. Amplification plots showing the specific detection of Peronospora sp. in infected plant material and contaminated
seed batch using primers BAS-F and BAS-R. Rectangle, circle, Triangle, inverted triangle and cross refer to 100, 10, 1,
0.1 and 0.1 ng DNA from infected Ocimum basilicum leaves with Peronospora sp. Diamond refers to 100 ng DNA from
infected seeds. Star refers to negative control.
formed a highly supported monophyletic clade,
embedded within the species parasitic on leaves of
Rubiaceae and Dispacaceae. Except for P. radii, which
was also found on leaves, the floricolous Peronospora’s
were confined to flowers or flower parts (e.g. petals,
stigmata) of their hosts. In our study, the Peronospora
sp. displayed a higher sequence homology with P. radii
than with the mint pathogen P. stigmaticola. The
apparent relationship between pathogen and host
systematics was fully supported by the results of the
present study. Sweet basil downy mildew samples of the
present study grouped within the Lamiales downy
mildews clade and were more closely related to P. conglomerata, P. arvensis, P. agrestis, and P. grisea, than
to P. lamii. The Peronospora sp. isolated from Salvia
officinalis in the New Zealand sample seems to be
different from the other basil samples with a high value
of support (BS 99 %). Due to the limited sampling and
the lack of cross-infection studies, it is of course not
possible to yet confidently claim the presence of two
different species, but this should at least be considered
as a possibility that there may be host specific races
which could evolve into or already represent different
species, depending on the species concept applied. Low
ITS sequence divergence does not necessarily mean
conspecificity, as there are examples of low ITS
variation between sexually incompatible species.
Thus, molecular evidence indicated that the
Peronospora sp. found on Ocimum basilicum is a
Peronospora species not yet characterised by ITS
sequence analysis and may represent a new species.
Since Peronospora on sweet basil is not endemic in
Switzerland and the disease has not been known before,
it is likely that the pathogen has been introduced, via
either contaminated seeds or cuttings or wind dispersal.
Hall (1996) argued that while the morphology of
asexual structures could be used to reliably differentiate
species of downy mildew pathogens at the genus level,
molecular techniques such as those incorporating
rDNA sequencing may need to be used to differentiate
them at the species level. To date, examples for the use
of ITS sequences to redefine the taxonomy of
Peronospora species include P. rubi and P. sparsa,
which have been shown to be conspecific (Kokko et al.
1999), and Peronospora spp. parasitic on Brassicaceae,
which have been transferred into two new genera
(Constantinescu & Fatehi 2002).
In addition to the identification of the causal organism of downy mildew disease in sweet basil this study
also led to the development of real time PCR primers
for the specific detection of the pathogens P. lamii and
Peronospora sp. DNA sequence comparison indicated
that PCR primers would differentiate between P. sp. and
P. lamii. BLAST searches of the GenBank database,
An undescribed Peronospora sp. pathogen of basil and sage
which is known to include sequences from the common
pathogens of Lamiaceae (i.e. Fusarium oxysporum f. sp.
basilici, Rhizoctonia solani, Sclerotinia spp., Botrytis
cinerea, Fusarium tabacinum, Pythium sp., and
Colletotrichum gloeosporioides) and testing against the
most common Peronospora species in Switzerland did
not indicate any cross reactions. These results indicate
that these primers specifically discriminated between
the Peronospora sp. and P. lamii. Previous studies
aiming to detect downy mildew inoculum in seed
showed that microscopic examination of soaked seeds
(results not shown) or of seeds germinated on Petri
dishes with the potential pathogen (Catherine Baroffio,
pers. comm.) could not be used reliably to identify the
downy mildew pathogen. Our assay demonstrated that
the downy mildew pathogen could easily be detected in
seed batches. This real time PCR assay could be
adequate for large-scale detection of P. lamii and
Peronospora sp. providing the perennial problem of
large-scale nucleic acid extraction can be solved.
It would offer a number of advantages over other
systems currently available to diagnosticians, including
improvements in sensitivity, a format suitable for
automation using laboratory liquid handling robotics
and easily interpreted results.
Evidence we presented here suggests that the downy
mildew pathogen on basil plants may represent an
undescribed species. To our knowledge, this would
constitute the first molecular recognition and characterisation of Peronospora sp. infecting sweet basil
plants. Further work is required in order to determine
whether P. lamii could also infect sweet basil plants. If
this were not the case, previous studies attributing
downy mildew of basil plants to P. lamii should be
reappraised. It would also be useful to compare the
morphology of P. swinglei to the Peronospora sp.
described here and to determine the ITS sequences of
North American and European isolates of P. swinglei.
A wider sampling of Peronospora spp. infecting
Lamiaceae, cross-infection studies with type hosts of
these pathogens, and sexual incompatibility tests
should also help to determine the full number of
Peronospora species involved on this family, their host
range, and maybe the occurrence of host-specific races.
Such studies will conclusively determine if the species
described in this paper is a new species, or if it is
conspecific with a previously described ones.
ACKNOWLEDGEMENTS
We thank Bruno Amos and Vincent Gigon (Office Technique de
Culture Maraichère de Genève, Jussy) for providing us with sweet
basil leaves and potted plants infected with Peronospora sp.; Guy
Auderset (School of Engineering of Lullier) for conidial measurements; Eric McKenzie (Landcare Research, Auckland) for providing
Salvia leaves infected with Peronospora sp.; Patrizia Martini
(Instituto Regionale Per La Floricoltura, Servizio Di Patologia, San
Remo) for providing potted sweet basil plantlets from the San Remo
region infected with Peronospora sp.; Hermann Voglmayr (Institute
of Botany and Botanical Garden, University of Vienna, Vienna) for
1286
providing leaf samples of Geranium molle infected with P. conglomerata, Anthemis austriaca with P. radii, Lamium purpureum with
P. lamii, and Scrophularia nodosa with P. sordida; and Catherine
Baroffio (Agroscope Wädenswil) for fruitful exchanges.
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