New
Phytologist
Research
Molecular and chemical mechanisms involved in aphid
resistance in cultivated tomato
Maria Cristina Digilio1*, Giandomenico Corrado2*, Raffaele Sasso3, Valentina Coppola2, Luigi Iodice3,
Marianna Pasquariello2, Simone Bossi4, Massimo E. Maffei4, Mariangela Coppola2, Francesco Pennacchio1,
Rosa Rao2 and Emilio Guerrieri3
1
Dipartimento di Entomologia e Zoologia agraria ‘Filippo Silvestri’, Università di Napoli ‘Federico II’, Via Università 100, 80055 Portici (NA), Italy;
2
Dipartimento di Scienze del Suolo della Pianta e dell’Ambiente, Università di Napoli ‘Federico II’, Via Università 100, 80055 Portici (NA), Italy; 3Istituto
per la Protezione delle Piante, Consiglio Nazionale delle Ricerche, Via Università 133, 80055 Portici (NA), Italy; 4Dipartimento di Biologia Vegetale, Unità
di Fisiologia Vegetale, Università di Torino – Centro della Innovazione, Via Quarello 11 ⁄ A, 10135 Torino, Italy
Summary
Authors for correspondence:
Emilio Guerrieri
Tel: +39 081 7753658 ext 11
Email: guerrieri@ipp.cnr.it
Rosa Rao
Tel: +39 081 2539204
Email: rao@unina.it
Received: 11 March 2010
Accepted: 26 April 2010
New Phytologist (2010) 187: 1089–1101
doi: 10.1111/j.1469-8137.2010.03314.x
Key words: Aphidius ervi, aphid parasitoid,
gene expression, Macrosiphum euphorbiae,
Solanum lycopersicum, volatile organic
compounds.
• An integrated approach has been used to obtain an understanding of the molecular and chemical mechanisms underlying resistance to aphids in cherry-like tomato
(Solanum lycopersicum) landraces from the Campania region (southern Italy). The
aphid–parasitoid system Macrosiphum euphorbiae–Aphidius ervi was used to
describe the levels of resistance against aphids in two tomato accessions (AN5,
AN7) exhibiting high yield and quality traits and lacking the tomato Mi gene.
• Aphid development and reproduction, flight response by the aphid parasitoid
A. ervi, gas chromatography-mass spectrometry headspace analysis of plant
volatile organic compounds and transcriptional analysis of aphid responsive genes
were performed on selected tomato accessions and on a susceptible commercial
variety (M82).
• When compared with the cultivated variety, M82, AN5 and AN7 showed a
significant reduction of M. euphorbiae fitness, the release of larger amounts of
specific volatile organic compounds that are attractive to the aphid parasitoid A.
ervi, a constitutively higher level of expression of plant defence genes and differential
enhancement of plant indirect resistance induced by aphid feeding.
• These results provide new insights on how local selection can offer the possibility
of the development of innovative genetic strategies to increase tomato resistance
against aphids.
Introduction
The molecular and chemical mechanisms regulating plant
resistance to insects have been studied extensively in a
number of systems. The continuously increasing information in this field offers new tools and opportunities for the
development of sustainable pest control technologies in
agriculture. Two main categories of plant defence mechanism against insects have been proposed. The first, referred
to as direct resistance, involves morphological (e.g. thorns,
trichomes) and chemical (e.g. antibiotics) features which
*These authors contributed equally to this work.
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
hamper directly the colonization of the plant by the invading
insect. The second, referred to as indirect resistance,
involves the production of extra floral nectar (Wäckers &
Bonifay, 2004) or the release of volatile organic
compounds (VOCs) by the infested plant which become
attractive for the natural enemies of insect pests (Agrawal
et al., 1999).
A remarkable background of basic information has been
produced on tomato–pest–natural enemy interactions
which is unique for crop plants (Kennedy, 2003). The potato
aphid, Macrosiphum euphorbiae (Hemiptera: Aphididae),
and other aphid species may cause severe losses to tomato
plants by their feeding activity and by the transmission of
New Phytologist (2010) 187: 1089–1101 1089
www.newphytologist.com
New
Phytologist
1090 Research
phytopathogenic viruses (Lange & Bronson, 1981;
Walgenbrach, 1997). The control of aphids is largely
achieved by insecticides, and the possible use of more sustainable control measures is highly desirable. Among these,
strategies based on insect-resistant germplasm and biological
control agents appear to be particularly promising (Guerrieri
& Digilio, 2008).
The mechanisms of direct resistance to aphids in tomato
plants have been investigated extensively. Indeed, the most
studied resistance gene to animal pests is Mi 1.2, isolated
from Solanum habrochaites S. Knapp & D.M. Spooner,
which confers resistance to the aphid M. euphorbiae, to the
whitefly Bemisia tabaci (Gennadius), to the tomato psyllid
Bactericerca cockerelli (Sulc) and to three species of nematode, including Meloidogyne incognita (Kofoid & White)
(Kaloshian et al., 1997; Rossi et al., 1998; Vos et al., 1998;
Nombela et al., 2003; Casteel et al., 2006). The Mi locus
has been transferred to several cultivated varieties, but the
level of resistance of Mi varieties seems to be limited to
some biotypes of M. euphorbiae (Goggin et al., 2001), and
varies with plant age (Hebert et al., 2007). The Mi mechanism is a typical gene-for-gene interaction, mediated by
recognition processes of aphid-derived elicitors by plant
resistance effectors. In this case, a plant resistant to aphids is
characterized by the presence of a single resistance (R ) gene,
which is usually inherited as a dominant trait (Smith &
Boyko, 2007).
The mechanisms regulating tomato attractiveness towards
natural enemies of aphids have been investigated in recent
years (Corrado et al., 2007; Sasso et al., 2007, 2009). The
main compounds eliciting a flight response by the aphid
parasitoid Aphidius ervi (Hymenoptera: Braconidae), the
most effective natural enemy of M. euphorbiae, have been
identified by combining behavioural observations, tomato
VOC analysis and parasitoid antennal response (Sasso
et al., 2007, 2009). In the multifaceted plant response,
the greater production of methyl salicylate and terpenes
in response to aphid infestation (Sasso et al., 2007)
implies the activation of the salicylic acid (SA) and octadecanoid (jasmonic acid, JA) pathways, and indicates the
possible occurrence of complex cross-talking interactions
between these metabolic pathways, which are mainly
involved in the response against pathogens and pests,
respectively.
In this study, we analyse both the direct and indirect
defence mechanisms induced by aphids in tomato plants by
performing a biological, behavioural, chemical and genetic
characterization of resistant genotypes, selected among
landraces and locally adapted accessions. Using the tritrophic system tomato (Solanum lycopersicum)–M.
euphorbiae–A. ervi, we show that aphid resistance (direct
and indirect) in these genotypes is associated with a constitutively higher level of expression of defence genes that
respond to aphids. The gathered data may allow a more
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
effective manipulation and exploitation of genetic traits of
tomato resistance against aphids.
Materials and Methods
Plants and insects
The tomato (Solanum lycopersicum L.) genotypes used were
the cultivated variety M82 (susceptible to aphids) and two
accessions (named here AN5 and AN7) cultivated in a geographical area of the Campania region of Italy, Agro
Nocerino-Sarnese, where aphid-borne viral diseases are one
of the most serious problems. These two accessions belong
to a collection of Corbarino cherry-like tomato landraces,
partially characterized by Giordano et al. (2000), and were
selected in this study for their field performances in terms of
insect and virus resistance (Andreakis et al., 2004). For the
genotypic characterization of plant material, we also analysed
a common cultivar resistant to Verticillium wilt, Fusarium
wilt and nematodes (VFN) that contains the Mi gene
(Roma).
Macrosiphum euphorbiae (Thomas) has been continuously reared on tomato, since 1998, in an environmental
chamber at 20 ± 1C, 65 ± 5% relative humidity, 18 h
light (L) : 6 h dark (D) photoperiod, starting from a colony
collected on tomato plants in Scafati (Salerno, Italy).
Aphidius ervi Haliday was continuously reared in an environmental chamber at 20 ± 1C, 18 h L : 6 h D photoperiod and 60 ± 5% relative humidity, on its natural host, the
pea aphid Acyrthosiphon pisum (Harris), maintained on potted broad bean plants (Vicia faba L., cv Aquadulce), as
described previously (Guerrieri et al., 2002). Parasitoids for
flight behaviour bioassays were reared as synchronized
cohorts, which were standardized as reported previously
(Guerrieri et al., 2002). In brief, broad bean plants infested
with A. pisum were exposed for 24 h to mated females of A.
ervi. The resulting mummies were isolated and, at their
emergence, adult parasitoids were sexed and placed in a box
with honey at a sex ratio of 1 : 1. Female parasitoids were
used for wind tunnel bioassay between 24 and 48 h after
their emergence, and had no prior contact with tomato
plants and ⁄ or M. euphorbiae (naive).
Direct resistance against aphids
Five weeks after sowing, 40 plants for each genotype were
infested with a newly born first instar nymph of M.
euphorbiae. Assays were carried out at 20 ± 1C, 65 ± 5%
relative humidity, 18 h L : 6 h D photoperiod. The
presence of aphid, presence of exuviae (i.e. occurrence of
moulting) and the number of newly laid nymphs
(i.e. beginning of reproduction) were monitored daily.
Constitutive direct resistance against aphids was evaluated
by calculating the maximum intrinsic rate of population
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
New
Phytologist
increase (rm) for each genotype by an iterative solution of
the approximation of the Euler equation,
rm = loge R0 =T
(Birch, 1948), where
R0 =
X
lx m x
T=
X
xlx mx =lx mx
with lx and mx representing the age-specific adult survival
and the reproduction rates of female offspring at age x
(expressed in days), respectively, assigned by taking the
mean development time in days + 0.5 as the starting point.
The accurate value of rm was then calculated by solving the
equation
X
e
rm x
Research
described, and tested again in a wind tunnel bioassay to
assess the attractiveness towards A. ervi after aphid feeding
induction. The parameters of the bioassay were set as follows: temperature, 20 ± 1C; relative humidity, 65 ± 5%;
wind speed, 25 ± 5 cm s)1; distance between releasing vial
and target, 50 cm; light intensity at releasing point,
3600 lx. For each experimental combination, 10 plants
were used. One hundred and fifty parasitoid females were
tested singly for each target in no-choice experiments, and
flight behaviour data were recorded and analysed with the
aid of event-recording software (the Observer; Noldus
Information Technology, Wageningen, the Netherlands).
The percentage of response (oriented flights, landings on
the target) to each target was calculated. The number
of parasitoids responding to each target in any experiment
was compared by a G test for independence, with William’s
correction (Sokal & Rohlf, 1981). The resulting values of
G were compared with the critical values of v2 (Rohlf &
Sokal, 1995).
lx mx = 1
Longevity and progeny data were compared by one-way
ANOVA, and the mean values were compared by Fisher’s
least significant difference (LSD) test. The numbers of
reproducing aphids were compared by v2 test.
Induced plant response to aphid feeding
To obtain information on the induction of the defence
response following aphid feeding, tomato plants were
infested with M. euphorbiae and leaves were collected
after 7 d, after removing the experimental aphids.
Approximately 200 mixed instars of potato aphids were
gently transferred onto AN5, AN7 and M82 plants, at the
five- to six-leaf stage, in order to obtain complete coverage
of the lower side of the leaves. This infestation load was
restored every other day by adding new aphids to infested
plants, as required. Rearing conditions were as already
described. Control, uninfested plants were grown under the
same conditions. This infestation protocol was adopted to
produce the plant material for the assessment of the aphidinduced plant response, both in terms of attractiveness
towards parasitoids and of the expression pattern of defence
genes.
Flight behaviour bioassay
Constitutive and induced indirect resistances to M.
euphorbiae were measured as the relative attractiveness
towards the parasitoid A. ervi in a wind tunnel bioassay
(Guerrieri et al., 2002). For each genotype, the constitutive
attractiveness was measured by testing 10 uninfested plants,
4 wk old, over 10 consecutive days. The same plants were
then infested with M. euphorbiae for 1 wk, as already
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
Headspace volatile collection and analyses
Volatiles from 10 uninfested plants per genotype were
collected for 24 h by an air-tight entrainment system, using
an adsorbent trap made of Tenax TA 60 ⁄ 80 (Sasso et al.,
2007), soon after plants had been tested in the wind tunnel
bioassay. Known amounts of standard molecules (see later)
were used to calculate the recovery of the adsorption ⁄ desorption method and for calibration. The traps were
desorbed by pipetting 2 ml of redistilled hexane. The eluted
extract was concentrated under a nitrogen flux to a volume
of 500 ll. The concentrated extracts and standard solutions
were injected (3 ll volume) in the split ⁄ splitless injection
port (injector) of a 6890N gas chromatograph (Agilent
Technologies, Inc., Santa Clara, CA, USA), coupled with
an EI-quadrupole 5973 mass spectrometer (Agilent
Technologies). Chromatographic separation was carried out
with a ZB-5MS column (Zebron Phenomenex, Inc.,
Torrance, CA, USA). The experimental conditions were as
follows: injector, 260C; transfer line to Mass Spectrometer
Detector (MSD), 280C; oven temperature: start, 60C;
hold, 5 min; programmed from 60C to 87C at
1C min)1; a second temperature ramp was programmed
from 87C to 150C at 5C min)1; a third temperature
ramp was programmed from 150C to 300C at
20C min)1; hold, 2 min; flow rate of carrier gas (helium),
1 ml min)1. Mass spectral data acquisition was performed
in SIM mode and in SCAN mode. The SIM mode parameters set for the mass filter (quadrupole) were organized
for each run in four groups of specified masses, according to
the retention times and spectra previously found in test runs
using standard molecules: first group, 77 m ⁄ z and 99 m ⁄ z;
second group, 79 m ⁄ z, 91 m ⁄ z and 93 m ⁄ z; third group,
119 m ⁄ z, 92 m ⁄ z and 120 m ⁄ z; fourth group, 91 m ⁄ z,
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
1091
New
Phytologist
1092 Research
93 m ⁄ z, 133 m ⁄ z and 161 m ⁄ z. The SCAN mode parameters were 50 m ⁄ z as the lower mass and 220 m ⁄ z as the
higher mass. Both acquisition settings were carried out with
an ionization energy of 70 eV. Volatile compounds were
identified by comparison of their mass spectra and retention
indices (Kováts indices) with those of reference substances,
where possible, and by comparison with the National
Institute of Standards and Technology (NIST) mass spectral search software v 2.0, using the libraries NIST 98 and
Adams (2001). The mean area of each identified peak and
the total emission of volatiles were analysed by one-way
t-paired test (Genstat 11th, VSN International Ltd Hemel
Hempstead UK).
The following commercial standards were used for the
identification of volatiles collected by air entrainment of the
headspace from tomato plants, and were for gas chromatography unless specified (purity level in parentheses): anisolep-allyl (‡ 98.5%), camphor (‡ 95%), d-2-carene (‡ 96%),
(E)-b-caryophyllene (‡ 98.5%), chlorobenzene (‡ 99%),
a-copaene (‡ 90%), p-cymene (‡ 99.5%), decane (‡ 99.8%),
p-dichlorobenzene (‡ 98%), dodecene (‡ 99%), 1,8-cineol
(‡ 99%), eugenol (‡ 99%), (E)-b-farnesene (‡ 90%),
a-gurjunene (‡ 97%), hexanal (‡ 97%), (Z)-3-hexen-1-ol
(‡ 98%), humulene (= a-caryophyllene) (‡ 98%), (Z)-jasmone
(‡ 99%), (E)-jasmone, (R)-(+)-limonene, (S)-())-limonene,
linalool, (+)-longifolene, menthol, 6-methyl-5-hepten-2-one,
methyl salicylate, b-myrcene, (Z)-nerolidol, ocimene,
(R)-())-a-phellandrene, a-pinene, skatol, a-terpinene,
c-terpinene, a-terpineol, iso-terpinolene.
Isolation of genomic DNA from plants and molecular
fingerprint
Leaves (0.5–2 g) were ground in liquid nitrogen and
resuspended in 15 ml of extraction buffer (0.1 M TrisHCl pH 8.0, 0.05 M EDTA, 0.5 M NaCl, 0.01 M
b-mercaptoethanol). Membranes were lysed by adding
2 ml of 10% w ⁄ v SDS and incubating at 65C for 20 min.
After the addition of 5 ml of 5 M potassium acetate and
incubation on ice for 15 min, the extract was centrifuged at
20 800 g for 15 min at 4C. The supernatant was added
with 0.6 vol of isopropanol and the pellet of nucleic acids
Longevity (d) (mean ± SD)
Fertile aphids (%)
Progeny, $$ ⁄ $ (mean ± SD)
rm
k
was resuspended in 400 ll of TE buffer (10 mM Tris-HCl
pH 8.0, 1 mM EDTA), and incubated with 10 ll of
10 mg ml)1 RNase A at 37C for 30 min. The solution
was then transferred into a 2 ml Eppendorf tube, incubated
with 400 ll cetyltrimethylammonium bromide (CTAB)
buffer at 65C for 15 min, and a subsequent extraction
with 1 vol of chloroform was performed. After centrifugation for 10 min at 20 800 g at 4C, the aqueous phase was
transferred to a new tube, the DNA was precipitated by the
addition of 1 vol of isopropanol and centrifuged at
20 800 g (4C) for 10 min. The pellet was washed with
70% ethanol, centrifuged at 20 800 g (4C) for 5 min,
air-dried and resuspended in 100 ll TE buffer. The DNA
fingerprint with the (GATA)4 oligonucleotide was performed as described previously (Rao et al., 2006). For the
analysis of cleaved amplified polymorphic sequences
(CAPS) of resistance genes, DNA was amplified using the
following conditions: reaction volume of 50 ll containing
1 · Taq polymerase buffer (Promega), 1.5 mM MgCl2,
0.1 mM of each deoxynucleoside triphosphate (dNTP),
0.2–0.4 lM of each of the two oligonucleotide primers,
1 u Taq Polymerase (Promega) and 100 ng of genomic
DNA. PCRs started with an initial denaturation step at
94C for 4 min, followed by 30 cycles of amplification that
included a denaturation step of 1 min at 94C, an annealing
time of 45 s, at the temperatures indicated in Supporting
Information Tables S1 and S2, and an extension period of
60 s kb)1 of amplified target at 72C. A final step of 9 min
at 72C concluded the PCRs. Cycles were performed using
a Mastercycler Gradient PCR machine (Eppendorf, Milan,
Italy). Amplicons were cleaved using restriction endonucleases according to the manufacturer’s recommendations
(Promega), employing a three-fold excess of enzyme in a
final volume reaction of 100 ll. The enzymes and primers
employed and the expected fragments are indicated in
Supporting Information Table S1.
Isolation of RNA from plants and cDNA synthesis
To analyse gene expression in plant material standardized as
for VOC analysis, total RNA was isolated from 4-wk-old
uninfested plants and from plants infested for 7 d with
M82
AN5
AN7
16.65 ± 5.64 a
73.08 a
13.58 ± 15.56 a
+0.39
1.48
11.08 ± 3.94 b
5.00 b
0.18 ± 0.96 b
–0.09
0.91
14.43 ± 2.93 c
20.00 c
0.98 ± 2.42 b
+0.05
1.05
Table 1 Demographic analysis of
Macrosiphum euphorbiae on the tomato
genotypes M82, AN5 and AN7 (rm,
maximum rate of increase; k, finite rate of
increase)
Longevity and progeny data were compared by one-way ANOVA (F-value = 16.873 and
27.238, respectively, n = 40, P < 0.01), and mean values were compared by Fisher’s least
significant difference (LSD) test; longevity, t = 1.79, P < 0.01; progeny, t = 3.77, P < 0.01.
The number of fertile aphids was compared by v2 test. For both types of test, statistically
significantly different values (P < 0.01) are denoted with different letters.
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
New
Phytologist
Research
Table 2 Relative amounts of the 14 volatile compounds identified in tomato susceptible variety M82 and in the resistant genotypes AN5 and
AN7
Kováts
index
(Z)-3-Hexen-1-ol
a-Pinene
Myrcene
d-2-Carene
a-Phellandrene
p-Cymene
Limonene
(Z)-Ocimene
c-Terpinene
Iso-terpinolene
Methyl salicylate
(Z)-Jasmone
Longifolene
(E)-b-Caryophyllene
859
939
991
1002
1003
1025
1029
1037
1060
1089
1192
1393
1408
1419
M82
5141
80 102
27 000
8255
58 307
13 788
129 484
6330
33 166
60 902
13 005
23 800
27 378
1 410 835
±
±
±
±
±
±
±
±
±
±
±
±
±
±
AN5
0.448
16.143
9.983
4.183
24.658
9.629
27.150
3.836
13.025
64.017
0.258
10.711
1.704
135.211
5645 ±
154 148* ±
56 792** ±
13 424 ±
38 915 ±
105 031**±
22 703 931** ±
6718 ±
33 604 ±
1 236 445** ±
20 882* ±
41 042** ±
62 287** ±
3 593 807**±
AN7
1.418
61.134
7.774
4.302
12.076
30.502
11 411.537
3.160
15.703
137.059
2.900
18.114
20.117
1361.842
5633 ±
177 975*±
1541** ±
583 458** ±
89 534 ±
34 621 ±
2 354 701*±
4715 ±
30 680 ±
411 059** ±
11 564 ±
21 077 ±
36 331 ±
1 676 884 ±
1.434
57.941
0.843
480.060
55.488
13.226
1317.174
1.287
20.850
145.540
1.533
5.117
7.286
313.327
Values, expressed in nanograms, are the mean ± SD.
For each compound, significant differences between the mean values observed for each accession and that of M82 are denoted with asterisks
(*, P £ 0.05; **, P £ 0.01).
hundreds of M. euphorbiae, as described previously. Aphids
were removed manually from infested plants, and the leaves
of the third branch were collected and immediately frozen
in liquid nitrogen. Approximately 0.5 g of leaf tissue was
ground in liquid nitrogen and total RNA was isolated
according to already published procedures (Corrado et al.,
2008). Ten micrograms of total RNA were treated with
7.5 u of RNase-free DNase I (Pharmacia, Milan, Italy) and
first-strand cDNA synthesis was carried out as described
previously (Corrado et al., 2005). The PCR amplification
of the cDNA coding for the Elongation Factor 1-a (EF1-a)
gene, a ubiquitously expressed gene, served as a control for
cDNA synthesis and PCR efficiency in the different
samples. The sequences annealed by the two primers (EF fw
and EF rv; Table S2) are localized in exons I and II of the
EF1-a gene, respectively, for the detection of possible
contaminant DNA in the PCR amplifications (Corrado
et al., 2007).
Real-time PCR
Real-time PCRs were performed using the ABI PRISM
7000 Sequence Detection System (Applied Biosystems,
Milan, Italy). Reactions (total volume, 25 ll) were prepared
with 12.5 ll of the 2 · SYBR Green PCR Master Kit
(Applied Biosystems), 0.3 pmol of a primer pair and 0.2 ll
of cDNA template. For each target, reactions were performed in triplicate and experiments were carried out on
three replicates per genotype. The thermal cycling programme started with steps of 2 min at 50C and 10 min at
95C, followed by 40 cycles of a 15 s step at 95C, followed
by 1 min at Ta indicated in Table S1. To check the
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
specificity of the amplification products, a dissociation
kinetics analysis was performed after each assay. The reaction
products were also resolved onto an agarose gel to verify
amplicon size. The primer pairs used and the size of the
expected amplicons are shown in Table S2.
Quantification of gene expression was carried out using
the 2)DDCt method (Livak & Schmittgen, 2001). We used
the housekeeping EF1-a gene as an endogenous reference
gene (Nicot et al., 2005) for the normalization of the
expression levels of the target genes. The statistical significance of the results was performed by evaluating whether
the average 2)DDCt values of the resistant accession were
significantly different from those of the calibrator genotype
(Student’s t-test).
Results
Genotypic characterization
Tomato accessions that are locally cultivated can be characterized by the presence of intravarietal genetic variability
(Ruiz et al., 2005; Rao et al., 2006). Therefore, six plants of
the accessions AN5 and AN7 were fingerprinted using a
highly polymorphic DNA marker (Vosman et al., 1992;
Rao et al., 2006; Caramante et al., 2009). The analysis with
the (GATA)4 oligonucleotide indicated that the two local
accessions were genetically uniform and different, as all
plants analysed generated different patterns fully consistent
within each genotype (Fig. 1a). Furthermore, we wanted to
exclude the presence of a few well-known resistance genes,
frequently present in cultivated varieties, which could
directly or indirectly influence plant performance in the
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
1093
New
Phytologist
1094 Research
(a) (kb)
1
2
3
(b)
(c)
10.0
(bp)
650
5.0
M82 AN5 AN7
M82 AN5 AN7 R
REX-1
(Mi)
TG101
(Frl)
350
570
420
3.0
SCN13
(Tm2)
360
170
220
0.5
600
R110
(Pto)
400
bioassays. This analysis was also essential to select an appropriate susceptible control, because many commercial
varieties have introgressed major resistance genes. We analysed four CAPS markers, tightly linked to genes conferring
resistance to aphids and other biotic stresses. The markers
were REX-1, linked to the Mi 1.2 gene (Williamson et al.,
1994), TG101, linked to the Frl gene, which confers resistance to Fusarium oxysporum f.sp. radicis-lycopersici (Sacc.)
W.C. Snyder and H.N. Hans (Fazio et al., 1999), SCN13,
linked to the tm-2 gene (resistance to tobacco mosaic virus)
(Sobir et al., 2000), and R110, linked to the Pto gene,
involved in the resistance to Pseudomonas syringae pv tomato
(Young dye and Wilkie) (Martin et al., 1991) and to other
bacterial and fungal plant pathogens (Mysore et al., 2003).
The CAPS assay did not show any polymorphism in the
analysed samples (Fig. 1b,c), indicating that the resistance
alleles of the analysed genes are absent in the AN5 and AN7
accessions, as well as in the control cultivar M82.
(rm = )0.09), and a finite rate of increase (k) below unity,
which is the value registered in the case of a stable population (Table 1). A positive value of the intrinsic rate of
increase was recorded on AN7, although it was close to zero
(rm = 0.05), owing to poor reproduction, with only
0.98 ± 2.4 nymphs (mean ± SD) per aphid. On this genotype, k was 1.05, indicating the presence of a very small
increase in the aphid population in the ideal conditions of
the assay (best climatic conditions and absence of intra- and
interspecific competition).
The results of the wind tunnel bioassay with uninfested
plants are reported in Fig. 2. Both AN5 and AN7 showed a
significantly higher level of constitutive attractiveness
towards A. ervi with respect to M82 (oriented flights,
32.6%). The uninfested AN5 showed the strongest response
Constitutive direct and indirect resistance to
M. euphorbiae
A. ervi response (%)
Fig. 1 Genetic analysis of the tomato accessions AN5 and AN7. (a) (GATA)4 fingerprint of the AN5 (1) and AN7 (2) accessions and of a
Macrosiphum euphorbiae-resistant VFN (resistant to Verticillium wilt, Fusarium wilt and nematodes) tomato variety (Roma) (3). (b) Cleaved
amplified polymorphic sequence (CAPS) analysis of the REX-1 marker, tightly associated with the Mi aphid resistance gene. A digestion control
of a VFN variety, Roma (R), is shown for the REX-1 marker as, in this case, the susceptible allele is not digested by the Taq I enzyme. (c) CAPS
analysis of genes that confer resistance to biotic stress. The three panels show the digestion profile of the markers (indicated in capital letters
on the left) associated with resistance genes (in parentheses) that were selected as very common in commercial tomato cultivars.
80
b
The biological performance of aphids on the three genotypes is reported in Table 1. As indicated by the rm values,
M82 control plants were susceptible, allowing the experimental aphids to survive and reproduce much better than
on the two germplasm accessions considered. Conversely,
both the AN5 and AN7 genotypes displayed a significant
level of resistance, with aphids showing impaired growth,
which frequently prevented them from reaching the critical
size for moulting. On AN5, the aphid population disappeared in 11 ± 3.9 d (mean ± SD), and only 5% of the
experimental aphids underwent reproduction. This resulted
in a negative value for the intrinsic rate of increase
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
b
60
c
40
a
b
a
20
0
Oriented flights
Landings on the target
Fig. 2 Percentage of response (oriented flights, landings on the
target) of the aphid parasitoid Aphidius ervi towards uninfested
plants of the tomato genotypes M82 (white columns), AN5 (black
columns) and AN7 (grey columns). Mean values within each
response denoted with different letters are significantly different
(P < 0.01).
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
New
Phytologist
Research
(64.29%), which was significantly higher (P £ 0.01) than
that registered for AN7 (49.35%). The percentages of
landings on the target showed the same pattern (Fig. 2), as
a similar and very high percentage of oriented flights
resulted in a landing on the target for all three genotypes
(93.1% in M82, 84.4% in AN5 and 89.5% in AN7).
Headspace VOC analyses
Of the selected standards (see previously), only 14 compounds were detected in the collected VOCs, and, in many
cases, significant quantitative differences were observed
between genotypes (Table 2). Compared with the M82
control, the AN5 genotype released significantly greater
amounts of the following compounds: a-pinene, myrcene,
p-cymene, limonene, iso-terpinolene, methyl salicylate, (Z)jasmone, longifolene and (E)-b-caryophyllene. AN7
emissions were significantly higher than those of M82 for
a-pinene, myrcene, limonene and iso-terpinolene. Only for
one compound (d-2-carene) was the emission of genotype
AN7 significantly higher than that of the other two genotypes. The relative proportion of identified compounds,
within each genotype considered, and the relative ratio for
each compound between the two accessions and the susceptible cultivated variety M82 are reported in Table 3. AN5
releases quantities of limonene and iso-terpinolene 175-fold
and 20-fold higher, respectively, than M82, whereas, in
AN7, these higher release rates decrease to 18-fold and
seven-fold, respectively. Moreover, d-2-carene is released by
AN7 in quantities 70-fold higher than by M82.
The AN5 genotype released a substantially greater
amount of the identified volatiles (sum of the average
area peak of each identified compound, 28 223 432.5),
followed by AN7 (3 821 604.6) and M82 (703 255.9),
and this pattern is consistent with the results of the
constitutive attractiveness towards parasitoids of uninfested
plants.
Table 3 Relative proportion of identified
compounds within each tomato genotype,
and between the accessions AN5 and AN7
with respect to the cultivated variety M82
(Z)-3-Hexen-1-ol
a-Pinene
Myrcene
d-2-Carene
a-Phellandrene
p-Cymene
Limonene
(Z)-Ocimene
c-Terpinene
Iso-terpinolene
Methyl salicylate
(Z)-Jasmone
Longifolene
(E)-b-Caryophyllene
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
Constitutive expression of the aphid-induced genes is
higher in resistant genotypes
The changes in plant gene expression induced by aphids
and, in general, by phloem-feeding insects are complex and
involve different signalling pathways (Thompson &
Goggin, 2006; Girling et al., 2008). Our first aim was to
identify the genes belonging to different plant response
pathways, which are activated by aphid feeding in tomato.
This analysis was carried out on the susceptible cultivar
M82, 7 d post-infestation, and the results are shown in
Fig. 3. Among the genes of the octadecanoid pathway
analysed, only one (LoxC) of the two plastidial tomato Lox
isoforms that participate in the synthesis of JA, and the
hydroperoxide lyase gene (HPL), producing stress-inducible
compounds such as Green Leaf Volatile (GLV), were overexpressed. HPL-derived metabolites are also strictly linked
to direct resistance against aphids in potato (Vancanneyt
et al., 2001). A significant induction of expression was also
observed for the germacrene C synthase (GCS) gene, which
encodes for proteins involved in the biosynthesis of terpenoids (a major class of VOC in plants), and for the P4 gene,
coding a pathogenesis-related (PR) protein, with unknown
functions, that is induced by aphids and SA. However,
differences were not observed for another pathogeninducible gene, Pti4, which encodes an ethylene-responsive
transcription factor which is important for the activation of
GCC-box PR genes in tomato (Chakravarthy et al., 2003).
The specificity of the plant response to aphids was also indicated by the lack of activation of the prosystemin gene, a
primary signal for the systemic transmission of the defence
signal induced by herbivore chewers in tomato plants.
These data suggest that mechanical damage plays little role
in the elicitation of plant response when aphids have
established their feeding site.
Subsequently, we compared the constitutive expression
level in the resistant and susceptible genotypes. As shown in
Relative
proportion
M82
Relative
proportion
AN5
Relative
proportion
AN7
Relative
proportion
AN5 ⁄ M82
Relative
proportion
AN7 ⁄ M82
0.0027
0.0422
0.0142
0.0044
0.0307
0.0073
0.0682
0.0033
0.0175
0.0321
0.0069
0.0125
0.0144
0.7435
0.0002
0.0055
0.0020
0.0005
0.0014
0.0037
0.8088
0.0002
0.0012
0.0440
0.0007
0.0015
0.0022
0.1280
0.0010
0.0327
0.0003
0.1073
0.0165
0.0064
0.4329
0.0009
0.0056
0.0756
0.0021
0.0039
0.0067
0.3083
1.0982
1.9244
2.1034
1.6262
0.6674
7.6178
175.3418
1.0613
1.0132
20.3021
1.6056
1.7245
2.2750
2.5473
1.0957
2.2218
0.0571
70.6814
1.5356
2.5110
18.1853
0.7449
0.9250
6.7495
0.8892
0.8856
1.3270
1.1886
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
1095
New
Phytologist
1096 Research
Response to aphids of the susceptible genotype
80
10
**
b
**
**
8
7
RQ
6
5
4
**
3
A. ervi response (%)
9
b
b
b
60
a
a
40
20
2
1
0
0
GCS
HPL
P4
Prosys
Pti4
TomLoxC TomLoxD
Gene
Fig. 3 Relative gene expression analysis in tomato 7 d following a
compatible aphid infestation. The graph displays the relative
quantity (RQ) for each target gene, shown on a linear scale relative
to the calibrator uninfested M82 (open columns) and 7 d after aphid
attack (closed columns). Asterisks indicate that the 2)DDCt values
were significantly different from the calibrator (P < 0.01; Student’s
t-test).
Oriented flights
Landings on the target
Fig. 5 Percentage of response (oriented flights, landings on the
target) of the aphid parasitoid Aphidius ervi towards the tomato
genotypes (M82, white columns; AN5, black columns; AN7, grey
columns) after aphid infestation. Different letters within each
response indicate a significant difference (P < 0.01).
(a)
Response to aphids of the AN5 genotype
4
3.5
RQ
2.5
12
**
2
1.5
RQ
10
1
0.5
**
8
2
0
**
6
4
**
3
Constitutive expression of defence genes
14
**
**
**
GCS
HPL
P4
Prosys
Gene
Pti4
TomLoxC TomLoxD
**
(b)
Response to aphids of the AN7 genotype
4
**
**
3.5
3
0
GCS
P4
Prosys
Pti4
Fig. 4 Relative expression level of genes involved in response to
aphids in tomato aphid-susceptible (M82) and aphid-resistant (AN5
and AN7) genotypes. The graph displays the relative quantity (RQ),
shown on a linear scale relative to the calibrator M82, of each target
in M82 (white columns), AN5 (grey columns) and AN7 (black
columns). Asterisks indicate that the 2)DDCt values were significantly
different from the calibrator (P < 0.01; Student’s t-test).
Fig. 4, both AN5 and AN7 express at significantly higher
levels the four genes induced by aphid feeding: HPL,
TomLoxC, GCS and P4.
Induced plant response to aphid feeding
Following aphid infestation, the attractiveness of AN7 and
M82 increased significantly, and reached a level similar to
that of the uninfested AN5 plants, which, by contrast, did
not show any enhancement of their attractiveness (compare
Figs 2, 5) (G test showed that uninfested AN5 and all
infested genotypes formed a homogeneous group: P = 1.1,
not shown). Similar patterns of response were observed by
analysing the percentages of landings on the target (Fig. 5):
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
2.5
TomLoxC TomLoxD
Gene
RQ
HPL
2
1.5
1
0.5
0
GCS
HPL
P4
Prosys
Gene
Pti4
TomLoxC TomLoxD
Fig. 6 Relative gene expression analysis 7 d following aphid
infestation of the tomato aphid-resistant genotypes (a, AN5; b,
AN7). The graph displays the relative quantity (RQ) for each target
gene, shown on a linear scale relative to the uninfested calibrator
(open columns) and 7 d after aphid attack (closed columns).
Asterisks indicate that the 2)DDCt values were significantly different
from the calibrator (P < 0.01; Student’s t-test).
the percentage with respect to oriented flights remained
consistently high in all three genotypes examined (91.9% in
M82, 87.2% in AN5 and 92.6% in AN7).
We also monitored the variation in gene expression level
in the two resistant genotypes, 7 d following infestation
(Fig. 6). The results indicated that only one gene in each
genotype (P4 for the AN5 genotype and HPL for the AN7
genotype) was expressed at a higher level relative to uninfested plants. Interestingly, the induced higher expression of
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
New
Phytologist
HPL in AN7 was found to be consistent with the observed
enhanced attractiveness.
Discussion
The biodiversity of local germplasm accessions provides an
interesting reservoir of plant material, which may show natural defences against biotic stress agents, associated with
high-quality standards. Tomato plants have developed an
efficient surveillance system that allows rapid reactions
against biotic stress, which complement efficient constitutive defences, such as glandular trichomes, acyl sugar and
toxic phenolic compounds. It has been demonstrated that R
proteins detect, directly or indirectly, the presence not only
of pathogens, but also of pest effectors, as in the case of the
Mi 1.2 gene (Rossi et al., 1998). In addition to these genefor-gene interactions, exerting a strong selection pressure on
the natural populations of pest insects, tomato plants can
mount an effective response by activating metabolic pathways that modulate multifactorial resistance mechanisms,
targeting herbivores both directly and indirectly. We have
identified two tomato genotypes, which lack the Mi 1.2
gene, with a significantly high level of direct resistance
against M. euphorbiae, coupled with attractiveness towards
aphid parasitoids. The molecular fingerprint indicated that
these genotypes were genetically different and, correspondingly, their performances were also different. For the AN5
genotype, only a few M. euphorbiae reached the adult stage
and none reproduced. The resulting negative value of rm
indicates a very high level of resistance, which would
certainly prevent a colonizing population of aphids from
becoming established on this plant material. In the case of
AN7, the rm value was just above zero, indicating that this
genotype does not allow diffuse aphid colonization. For
both germplasm accessions, direct resistance was associated
with an enhanced constitutive attractiveness towards the
parasitoid A. ervi. The attractiveness of AN5 in the absence
of aphid infestation was high and comparable with that
recorded for the same parasitoid in response to broad bean
plants infested by Acyrthosiphon pisum (Guerrieri et al.,
1993; Du et al., 1996), or to tomato plants infested by M.
euphorbiae (Sasso et al., 2007). VOC analysis indicated the
existence of a positive correlation between the amount of
volatiles released and attractiveness towards parasitoids,
which could be reinforced by the different relative ratios of
specific compounds shared by the considered genotypes.
A thorough analysis of the absolute and relative releases
of the identified compounds from the three uninfested
genotypes, characterized by different degrees of attractiveness towards A. ervi females, allowed additional light to be
shed on the mechanisms regulating the interactions between
this generalist wasp and plants. The high attractiveness
towards uninfested AN5 plants is associated with a high
constitutive level of different compounds, with at least three
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
Research
((Z)-jasmone, methyl salicylate and (E)-b-caryophyllene))
showing upregulation in tomato plants attacked by aphids
(Sasso et al., 2007), and eliciting positive electrophysiological responses, even at very low doses (Sasso et al., 2009;
E. Guerrieri & C. M. Woodcock, unpublished). However,
this change is associated with very high levels of limonene
(175 times higher than in M82, and representing 81% and
43% of the total volatiles released by AN5 and AN7, respectively), which has no direct effect on the modulation of
A. ervi flight behaviour and its electrophysiological response
(Sasso et al., 2009). We may reasonably speculate that
limonene may play a role, in combination with other
compounds, by enhancing the overall detectability of the
blend in which it is present in specific relative amounts.
The biological importance of the ratio among compounds
in the studied experimental system is also corroborated by
the attraction of A. ervi towards the AN7 genotype, which
shares with AN5 only some of the volatiles more significantly released by the latter, with the relative proportions of
all the others being markedly different. It is also worth
noting that the three main aphid-induced compounds
mentioned above, involved in A. ervi attractiveness, are
extremely common in the volatile blends of different plant
species. This further reinforces the important role of the
relative ratios in the elicitation of specific biological
responses, even though a complex mixture of compounds,
including the major components of volatile blends in equal
concentrations, proved to be attractive for a large number
of parasitoids (James, 2005; James & Grasswitz, 2005).
The importance of the ratio among different compounds
in a complex blend is certainly one of the major parameters
controlling insect–plant interactions (de Bruyne & Baker,
2008). In phytophagous insects, this parameter strongly
influences the selection of plants on which insects feed
(Visser, 1986; Fraser et al., 2003), even though some
groups can exploit very specific chemical cues, uniquely
associated with a given group of plants (e.g. isothiocyanates
for cruciferous plants) (Blight et al., 1995).
There could be an apparent ecological contradiction associated to the concurrent presence of high levels of direct and
indirect defences. Plants, as sessile organisms, must protect
themselves against biotic stress agents occurring in the
environment with powerful weapons, which very often are
synthesized ‘on demand’ by activating specific metabolic
pathways (Gatehouse, 2002; Howe & Jander, 2008). A
number of inducible defence responses in plants occur with
profound metabolic changes, some of which are not always
involved in the direct defence reaction, but can be profitably
exploited by natural antagonists of plant feeders ⁄ pathogens.
Therefore, the selective advantage for the plant of getting
rid of insect pests can lead to a selection process which stabilizes genetic traits controlling the indirect defences mediated
by carnivores, and promotes an active ‘cry for help’ strategy
(Dicke, 2009). However, a series of adaptive plant responses
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
1097
1098 Research
seems to be more passive in an evolutionary sense (i.e.
exploitation by natural enemies of metabolic changes not
related to protection), and the proposed adaptiveness of
‘crying for help’ has been challenged in some cases (Van der
Meijden & Klinkhamer, 2000; Gatehouse, 2002). These
scenarios are not mutually exclusive and could coexist in the
same evolutionary context in response to multiple challenges, promoting the development of plant defence traits
that contribute significantly to the structure of natural
insect communities (Poelman et al., 2008). The experimental
data presented here provide an interesting opportunity
to analyse this microevolutionary pathway. Aphid fitness
is at the lowest on the tomato genotypes considered.
T associated higher attractiveness towards aphid parasitoids
seems to be a consequence of the increased constitutive
expression of aphid-inducible genes, which regulate both
direct and indirect resistance. Although the benefit of aphid
suppression is obvious, it is more difficult to determine,
at this stage, the benefit associated with the higher attractiveness of parasitoids towards poor or very low host
populations on fairly resistant plants. In other words, the
attraction of parasitoids by uninfested plants can be viewed
as a kind of collateral product of a selection process in
favour of effective direct defences, and the absence of host
aphids on these attractive plants is expected to enhance the
rapid dispersal of parasitoids. This hypothesis needs to be
tested under field conditions in order to assess the relative
contributions of direct and indirect defences to the overall
resistance of the tomato genotypes considered here. These
accessions offer new tools to analyse the dynamics of the
microevolutionary processes driving the selection of alleles
conferring plant resistance against insects.
Nonetheless, some of the volatiles emitted at higher rates
by AN5 and AN7 may also have some direct effects on
aphids. The possible direct defensive role of (E)-b-caryophyllene remains to be assessed, whereas it has been reported
previously for both methyl salicylate and (Z)-jasmone. For
example, barley plants exposed to methyl salicylate were less
well accepted and less well colonized by the aphid
Rhopalosiphum padi (Glinwood et al., 2007). Similarly, (Z)jasmone has been demonstrated to be repellent for the aphid
Nasonovia ribis-nigri (Birkett et al., 2000; Bruce et al.,
2008). Conversely, (E)-b-caryophyllene has been more often
related to indirect defence only, above ground and below
ground, against different pests in different crops (Colazza
et al., 2004; Rassman et al., 2005). Therefore, we hypothesize that some of the volatile compounds identified may
play a double role. Studies addressing this issue in the experimental system used are certainly worthy of further research
efforts. We are currently assessing the possible role in direct
defence against aphids of the other volatile compounds
released at a higher rate by the two accessions considered.
This will shed light on the biological role of these chemicals,
and may provide new tools for aphid control.
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
New
Phytologist
The bioassays performed with plant material indicated
that, in the tomato genotypes used, the resistance traits are
expressed mainly (AN7), if not entirely (AN5), in a constitutive manner. As plant resistance to biotic stress also
includes the activation of gene expression, we wanted to test
whether aphid responsive genes were constitutively
expressed at higher levels in the aphid-resistant genotypes.
For this purpose, we first studied plant response after a prolonged aphid attack, by analysing gene expression after 7 d
of infestation. Key genes were selected, considering their
role in the signalling pathways that, in tomato, are elicited
by phytophagous pests. Selected genes belong to the JA and
SA pathways and are also involved in the production of
bioactive VOCs. As expected, the data indicated that the
tomato response to aphids involves different signalling
pathways. For instance, it has been shown that tomato
lipoxygenases are involved in plant-induced defences
towards pests through the production of toxic and antifeedant compounds (Fidantsef et al., 1999). The gene
expression analysis performed indicated that, among the
tomato Lox isoforms that are targeted to chloroplasts, only
TomLoxC is involved in aphid response. This is consistent
with the previous evidence which indicated that TomLoxC,
as a member of the lipoxygenase gene family, is involved in
the response against herbivores (Corrado et al., 2007).
More interestingly, the results indicated that, among
the genes analysed, overexpression in the resistant genotypes was observed only for genes activated by aphid infestation. Considering that, of the resistant genotypes, AN5
showed a constitutively higher level of expression for HPL,
GCS and TomLoxC, it is tempting to speculate that the
higher resistance level of this genotype is correlated
with these quantitative differences. However, the higher
expression of HPL in AN7, induced by aphid feeding, is
associated with an enhancement of attractiveness, which
attains a level similar to that constitutively observed for
AN5 (Figs 2, 5).
The results strongly suggest that the resistance observed
in the landraces AN5 and AN7, although most probably
multifactorial, is related to a constitutively higher level of
expression of defence genes that respond to aphid attack. In
other plant species, genes described as upregulated in aphidresistant genotypes are involved in different physiological
processes. They include vacuolar H+-ATPase subunit-like
proteins in apple, and cytochrome P450 monoxygenase
genes, chlorophyll a ⁄ b-binding protein genes and cellulose
synthase genes in sorghum and wheat (Qubbaj et al., 2005;
Boyko et al., 2006; Park et al., 2006). It is worth noting
that the different biological performances shown by the
resistant and susceptible genotypes analysed are associated
with the overexpression of genes whose activity is clearly
linked to direct and indirect resistance against pests.
However, it will be interesting to perform a comprehensive
transcriptomic analysis to outline a complete picture of
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
New
Phytologist
tomato response to aphid infestation. Moreover, it will also
be of considerable interest to assess the variability of aphid
and parasitoid response to the phenotypic traits controlled
by these genes, which is likely to occur in different strains,
as reported for the Mi gene (Goggin et al., 2001).
Apparently, the higher cost associated with plant constitutive defences does not seem to be relevant for AN5
(Zangerl, 2003). Indeed, the resistance traits of the ‘best
performer’ AN5 do not influence yield and fruit quality
significantly, which are comparable or better than those of
other local landraces and commercial hybrids (Giordano
et al., 2000; Andreakis et al., 2004).
In conclusion, this study has identified aphid-resistant
genotypes in cultivated tomato and candidate genes whose
expression is associated with aphid resistance. Moreover,
the tomato genotypes considered can provide new opportunities for studying the microevolutionary pathways that
shape plant resistance. Although further studies are necessary to unravel the complexity of the genetic basis of the
observed traits, our results corroborate the hypothesis that
traditional germplasm, which has been subjected to very
little breeding, may represent an important source of
material amenable to low-input farming and ⁄ or organic
agriculture. Our data also suggest that the modulation and
exploitation of endogenous plant defence could be a valid
strategy to improve tomato resistance against aphids,
hopefully overcoming some limitations of the single gene
resistance approach (Singh & Singh, 2005).
Acknowledgements
This research was supported by Ministero dell’Istruzione,
dell’Universitá e della Ricerca – Laboratorio PubblicoPrivato di Genomica per l’innovazione e la valorizzazione
della filiera del pomodoro (GenoPOM), DM17732.
References
Adams P. 2001. Identification of essential oil components by gas
chromatography:quadrupole mass spectroscopy. Carol Stream, IL, USA:
Allured Publications.
Agrawal AA, Tuzun S, Bent E. 1999. Induced plant defenses against
pathogens and herbivores. Biochemistry, ecology, and agriculture. St Paul,
MN, USA: APS Press.
Andreakis N, Giordano I, Pentangelo A, Fogliano V, Graziani G, Monti
LM, Rao R. 2004. DNA fingerprinting and quality traits of Corbarino
cherry-like tomato landraces. Journal of Agricultural and Food Chemistry
52: 3366–3371.
Birch LC. 1948. The intrinsic rate of natural increase of an insect
population. Journal of Animal Ecology 17: 15–26.
Birkett MA, Campbell CAM, Chamberlain K, Guerrieri E, Hick AJ,
Martin JL, Matthes M, Napier JA, Pettersson J, Pickett JA et al. 2000.
New roles for cis-jasmone as an insect semiochemical and in plant
defence. Proceedings of the National Academy of Sciences, USA 97: 9329–
9334.
Blight MM, Pickett JA, Wadhams LJ, Woodcock C. 1995. Antennal
perception of oilseed rape, Brassica napus (Brassicaceae), volatiles by the
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
Research
cabbage seed weevil Ceutorhynchus assimilis (Coleoptera, Curculionidae).
Journal of Chemical Ecology 21: 1649–1664.
Boyko EV, Smith CM, Thara VK, Bruno JM, Deng YP, Starkey SR,
Klaahsen DL. 2006. Molecular basis of plant gene expression
during aphid invasion: wheat Pto- and Pti-likeA sequences are
involved in interactions between wheat and Russian wheat aphid
(Homoptera: Aphididae). Journal of Economic Entomology 99: 1430–
1445.
Bruce TJ, Matthes MC, Chamberlain K, Woodcock CM, Mohib A,
Webster B, Smart LE, Birkett MA, Pickett JA, Napier JA. 2008.
cis-Jasmone induces Arabidopsis genes that affect the chemical ecology
of multitrophic interactions with aphids and their parasitoids.
Proceedings of the National Academy of Sciences, USA 105: 4553–
4558.
de Bruyne M, Baker TC. 2008. Odor detection in insects: volatile codes.
Journal of Chemical Ecology 34: 882–897.
Caramante M, Rao R, Monti LM, Corrado G. 2009. Discrimination of
‘San Marzano’ accessions: a comparison of minisatellite, CAPS and SSR
markers in relation to morphological traits. Scientia Horticulturae 120:
560–564.
Casteel C, Walling LL, Paine T. 2006. Behavior and biology of the
tomato psyllid, Bactericerca cockerelli, in response to the Mi-1.2 gene.
Entomologia Experimentalis et Applicata 121: 67–72.
Chakravarthy S, Tuori RP, D’Ascenzo MD, Fobert PR, Despres C,
Martin GB. 2003. The tomato transcription factor Pti4 regulates
defense-related gene expression via GCC box and non-GCC box cis
elements. Plant Cell 15: 3033–3050.
Colazza S, McElfresh JS, Millar JG. 2004. Identification of volatile
synomones, induced by Nezara viridula feeding and oviposition on bean
spp., that attract the egg parasitoid Trissolcus basalis. Journal of Chemical
Ecology 30: 945–964.
Corrado G, Arciello S, Fanti P, Fiandra L, Garonna A, Digilio MC,
Lorito M, Giordana B, Pennacchio F, Rao R. 2008. The Chitinase A
from the baculovirus AcMNPV enhances resistance to both fungi and
herbivorous pests in tobacco. Transgenic Research 17: 557–571.
Corrado G, Delli Bovi P, Ciliento R, Gaudio L, Di Maro A, Aceto S,
Lorito M, Rao R. 2005. Inducible expression of a Phytolacca heterotepala
ribosome-inactivating protein leads to enhanced resistance against major
fungal pathogens in tobacco. Phytopathology 95: 206–215.
Corrado G, Sasso R, Pasquariello M, Iodice L, Carretta A, Cascone P,
Ariati L, Digilio MC, Guerrieri E, Rao R. 2007. Systemin regulates
both systemic and volatile signalling in tomato plants. Journal of
Chemical Ecology 33: 669–681.
Dicke M. 2009. Behavioural and community ecology of plants that cry for
help. Plant, Cell & Environment 32: 654–665.
Du YJ, Poppy GM, Powell W. 1996. Relative importance of
semiochemicals from first and second trophic level in host foraging
behaviour of Aphidius ervi. Journal of Chemical Ecology 22: 1591–
1606.
Fazio G, Stevens MR, Scott JW. 1999. Identification of RAPD markers
linked to fusarium crown and root rot resistance (Frl) in tomato.
Euphytica 105: 205–210.
Fidantsef AL, Stout MJ, Thaler JS, Duffey SS. 1999. Signal interactions
in pathogen and insect attack: expression of lipoxygenase, proteinase
inhibitor II, and pathogenesis-related protein P4 in the tomato,
Lycopersicon esculentum. Physiological and Molecular Plant Pathology 54:
97–114.
Fraser AM, Mechaber WL, Hildebrand JG. 2003. Electroantennographic
and behavioral responses of the sphinx moth Manduca sexta to host
plant headspace volatiles. Journal of Chemical Ecology 29: 1813–1833.
Gatehouse JA. 2002. Plant resistance towards insect herbivores: a dynamic
interaction. New Phytologist 156: 145–169.
Giordano I, Pentangelo A, Villari G, Fasanaro G, Castaldo D. 2000.
Caratteristiche agronomiche e idoneità alla trasformazione di pomodori
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
1099
1100 Research
dell’ecotipo ‘‘Corbarino’’. Industria Conserve 75: 317–329. (In Italian
with English abstract).
Girling RD, Madison R, Hassall M, Poppy GM, Turner JG. 2008.
Investigations into plant biochemical wound-response pathways
involved in the production of aphid-induced plant volatiles. Journal of
Experimental Botany 59: 3077–3085.
Glinwood R, Gradin T, Karpinska B, Ahmed E, Jonsson L, Ninkovic V.
2007. Aphid acceptance of barley exposed to volatile phytochemicals
differs between plants exposed in daylight and darkness. Plant Signalling
& Behavior 2: 321–326.
Goggin FL, Williamson VM, Ullman DE. 2001. Variability in the
response of Macrosiphum euphorbiae and Myzus persicae (Hemiptera:
Aphididae) to the tomato resistance gene Mi. Environmental Entomology
30: 101–106.
Guerrieri E, Digilio MC. 2008. Aphid–plant interactions: a review.
Journal of Plant Interactions 3: 223–232.
Guerrieri E, Pennacchio F, Tremblay E. 1993. Flight behaviour of the
aphid parasitoid Aphidius ervi (Hymenoptera: Braconidae) in response
to plant and host volatiles. European Journal of Entomology 90: 415–
421.
Guerrieri E, Poppy GM, Powell W, Rao R, Pennacchio F. 2002. Plant to
plant communication mediating in-flight orientation of Aphidius ervi.
Journal of Chemical Ecology 28: 1703–1715.
Hebert SL, Jia L, Goggin FL. 2007. Quantitative differences in aphid
virulence and foliar symptom development on tomato plants carrying
the Mi resistance gene. Environmental Entomology 36: 458–467.
Howe GA, Jander G. 2008. Plant immunity to insect herbivores. Annual
Review of Plant Biology 59: 41–66.
James DG. 2005. Further field evaluation of synthetic herbivore-induced
plant volatiles as attractants for beneficial insects. Journal of Chemical
Ecology 31: 481–495.
James DG, Grasswitz TR. 2005. Synthetic herbivore-induced plant
volatiles increase field captures of parasitic wasps. BioControl 50: 871–
880.
Kaloshian I, Kinsey MG, Ullman DE, Williamson VM. 1997. The
impact of Meu 1-mediated resistance in tomato on longevity, fecundity
and behavior of the potato aphid Macrosiphum euphorbiae. Entomologia
Experimentalis et Applicata 83: 181–187.
Kennedy GG. 2003. Tomato, pests, parasitoids, and predators: tritrophic
interactions involving the genus Lycopersicon. Annual Review of
Entomology 48: 51–72.
Lange WH, Bronson L. 1981. Insect pests of tomato. Annual Review of
Entomology 26: 345–371.
Livak KJ, Schmittgen TD. 2001. Analysis of relative gene expression data
using real-time quantitative PCR and the 2(T)()Delta Delta C)
method. Methods 25: 402–408.
Martin GB, Williams JGK, Tanksley SD. 1991. Rapid identification of
markers linked to a Pseudomonas resistance gene in tomato by using
random primers and near-isogenic lines. Proceedings of the National
Academy of Sciences, USA 88: 2336–2340.
Mysore KS, D’Ascenzo MD, He XH, Martin GB. 2003. Overexpression
of the disease resistance gene Pto in tomato induces gene expression
changes similar to immune responses in human and fruitfly. Plant
Physiology 132: 1901–1912.
Nicot N, Hausman JF, Hoffmann L, Evers D. 2005. Housekeeping gene
selection for real-time RT-PCR normalization in potato during biotic
and abiotic stress. Journal of Experimental Botany 56: 2907–2914.
Nombela G, Williamson VM, Muniz M. 2003. The root-knot nematode
resistance gene Mi-1.2 of tomato is responsible for resistance against the
whitefly Bemisia tabaci. Molecular Plant–Microbe Interaction 16: 645–
649.
Park SJ, Huang YH, Ayoubi P. 2006. Identification of expression profiles
of sorghum genes in response to greenbug phloem-feeding using cDNA
subtraction and microarray analysis. Planta 223: 932–947.
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
New
Phytologist
Poelman EH, van Loon JJA, Dicke M. 2008. Consequences of variation
in plant defense for biodiversity at higher trophic levels. Trends in Plant
Science 13: 534–541.
Qubbaj T, Reineke A, Zebitz CPW. 2005. Molecular interactions
between rosy apple aphids, Dysaphis plantaginea, and resistant and
susceptible cultivars of its primary host Malus domestica. Entomologia
Experimentalis et Applicata 115: 145–152.
Rao R, Corrado G, Bianchi M, Di Mauro A. 2006. (GATA)(4) DNA
fingerprinting identifies morphologically characterized ‘San Marzano’
tomato plants. Plant Breeding 125: 173–176.
Rassman S, Köllner TG, Degenhard J, Hiltpold I, Toepfer S,
Kuhlmann U, Gershenzon J, Turlings TCJ. 2005. Recruitment of
entomopathogenic nematodes by insect-damaged maize roots. Nature
434: 732–737.
Rohlf FJ, Sokal RR. 1995. Statistical tables, 3rd edn. New York, NY, USA:
WH Freeman and Co.
Rossi M, Goggin FL, Milligan SB, Kaloshian I, Ullman DE, Williamson
VM. 1998. The nematode resistance gene Mi of tomato confers
resistance against the potato aphid. Proceedings of the National Academy
of Sciences, USA 95: 9750–9754.
Ruiz JJ, Garcia-Martinez S, Pico B, Gao MQ, Quiros CF. 2005.
Genetic variability and relationship of closely related Spanish
traditional cultivars of tomato as detected by SRAP and SSR markers.
Journal of the American Society for Horticultural Science 130: 88–94.
Sasso R, Iodice L, Digilio MC, Carretta A, Ariati L, Guerrieri E. 2007.
Host-locating response by the aphid parasitoid Aphidius ervi to tomato
plant volatiles. Journal of Plant Interactions 2: 175–183.
Sasso R, Iodice L, Pickett JA, Woodcock CM, Guerrieri E. 2009.
Behavioural and electrophysiological responses of Aphidius ervi
(Hymenoptera: Braconidae) to tomato plant volatiles. Chemoecology 19:
195–201.
Singh DP, Singh A. 2005. Disease and insect resistance in plants. Enfield,
NH, USA: Science Publisher.
Smith CM, Boyko EV. 2007. The molecular bases of plant resistance and
defense responses to aphid feeding: current status. Entomologia
Experimentalis et Applicata 122: 1–16.
Sobir TO, Ohmori T, Murata M, Motoyoshi F. 2000. Molecular
characterization of the SCAR markers tightly linked to the Tm-2
locus of the genus Lycopersicon. Theoretical and Applied Genetics 101:
64–69.
Sokal RR, Rohlf FJ. 1981. Biometry, 2nd edn. New York, NY, USA: WH
Freeman and Co.
Thompson GA, Goggin FL. 2006. Transcriptomics and functional
genomics of plant defence induced by phloem-feeding insects. Journal of
Experimental Botany 57: 747–754.
Van der Meijden E, Klinkhamer PGI. 2000. Conflicting interests of plants
and the natural enemies of herbivores. Oikos 89: 202–208.
Vancanneyt G, Sanz C, Farmaki T, Paneque M, Ortego F,
Castañera P, Sanchez-Serrano JJ. 2001. Hydroperoxide lyase
depletion in transgenic potato plants leads to an increase in
aphid performance. Proceedings of the National Academy of Sciences,
USA 98: 8139–8144.
Visser JH. 1986. Host odour perception in phytophagous insects. Annual
Review of Entomology 31: 121–144.
Vos P, Simons G, Jesse T, Wijbrandi J, Heinen L, Hogers R, Frijters A,
Groeendijk J, Diergaarde P, Reijans M et al. 1998. The tomato Mi-1
gene confers resistance to both root-knot nematodes and potato aphids.
Nature Biotechnology 16: 1365–1369.
Vosman B, Arens P, Ruskortekaas W, Smulders MJM. 1992.
Identification of highly polymorphic DNA regions in tomato.
Theoretical and Applied Genetics 85: 239–244.
Wäckers FL, Bonifay C. 2004. How to be sweet? Extrafloral nectar
allocation by Gossypium hirsutum fits optimal defense theory predictions
Ecology 85: 1512–1518.
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
New
Phytologist
Walgenbrach JF. 1997. Effect of potato aphid (Homoptera: Aphididae) on
yield, quality, and economics of staked-tomato production. Journal of
Economic Entomology 90: 996–1004.
Williamson VM, Ho JY, Wu FF, Miller N, Kaloshian I. 1994. A PCRbased marker tightly linked to the nematode resistance gene, Mi, in
tomato. Theoretical and Applied Genetics 87: 757–763.
Zangerl AR. 2003. Evolution of induced plant responses to herbivores.
Basic and Applied Ecology 4: 91–103.
Supporting Information
Additional supporting information may be found in the
online version of this article.
The Authors (2010)
Journal compilation New Phytologist Trust (2010)
Research
Table S1 Primers for cleaved amplified polymorphic
sequence (CAPS) analysis and size of the expected restriction fragments (R, resistance allele; S, susceptible allele).
Table S2 Primers employed for the expression study and
their main features.
Please note: Wiley-Blackwell are not responsible for the
content or functionality of any supporting information
supplied by the authors. Any queries (other than missing
material) should be directed to the New Phytologist Central
Office.
New Phytologist (2010) 187: 1089–1101
www.newphytologist.com
1101