Electrophysiological responses of Thaumetopoea pityocampa females to host volatiles: implications for host selection of active and inactive terpenes

Similar documents
Avoidance of nonhost plants by a bark beetle, Pityogenes bidentatus, in a forest of odors

Team members. Institutions

Behaviour Patterns of the Pine Processionary Moth (Thaumetopoea wilkinsoni Tams; Lepidoptera: Thaumetopoeidae)

Keywords: Biological control, scolytid beetle, Euphorbia esula, host selection.

TESTING THE ABILITY OF IPS TYPOGRAPHUS L. FEMALES TO DEVELOP NEW MATERNAL GALLERIES IN LAB CONDITIONS

AGRICULTURAL RESEARCH FOUNDATION FINAL REPORT FUNDING CYCLE

Supplementary Figures

Monoterpene and Sesquiterpene Emissions from Ponderosa Pine: Implications for Secondary Organic Aerosol Formation

Phytochemical Analysis of the Essential Oil from Aerial parts of Pulicaria undulata (L.) Kostel from Sudan

IJPRD, 2011; Vol 3(7): October 2011 (51-55) International Standard Serial Number

Chiral characterization of monoterpenes present in the volatile fraction of Myrtus communis L. growing in Algeria

Tree and Shrub Insects

Expansion of geographic range in the pine processionary moth caused by increased winter temperatures. Ecological Applications :

Results for hypothesis tests of species and gender effects on control compounds in EAG data.

STEREOCHEMISTRY OF HOST PLANT MONOTERPENES AS MATE LOCATION CUES FOR THE GALL WASP Antistrophus rufus

GC/MS BATCH NUMBER: T50100

Discovering the Scent of Celery: HS-SPME, GC-TOFMS, and Retention Indices for the Characterization of Volatiles

The leaf essential oil of Abies grandis (Doug. ex D. Don) Lindl. (Pinaceae): revisited 38 years later

Determination of Volatile Substances Proof of Food Adulteration

HIGH SPEED GC-TOFMS FOR ESSENTIAL OILS PROFILING IN ROUTINE QUALITY ASSESSMENT

Rapid Analysis of Food and Fragrances Using High-Efficiency Capillary GC Columns. Application. Authors. Abstract. Introduction

Analysis of Terpenes in Cannabis Using the Agilent 7697A/7890B/5977B Headspace GC-MSD System

Biology of sweet potato weevil, Cylas formicarius F. on sweet potato

PERFORMANCE OF NATURAL ENEMIES REARED ON ARTIFICIAL DIETS J.E. Carpenter 1 and S. Bloem 2 1

Cotton Plant Volatiles and Insect s Behavior

PRO LIGNO Vol. 11 N pp

LIMONENE HYDROGENATION IN HIGH PRESSURE CO 2 : EFFECT OF FLOW

Research Article A Population Genetic Model of Evolution of Host-Mate Attraction and Nonhost Repulsion in a Bark Beetle Pityogenes bidentatus

Jonathan M. Liebmann et al. Correspondence to: John N. Crowley

WHAT IS FLORAL FRAGRANCE?

GC/MS BATCH NUMBER: CB7102

28 3 Insects Slide 1 of 44

CERTIFICATE OF ANALYSIS - GC PROFILING

Protection of terpenes against oxidative and acid decomposition on adsorbent cartridges

Bees use honest floral signals as indicators of reward when visiting flowers. Supporting Information

Peripheral modulation of pheromone response by inhibitory host compound in a beetle

CHEMICAL COMMUNICATION IN INSECTS, FROM PHEROMONE IDENTIFICATION TO PROTEOMICS OF OLFACTION

a-terpinolene Ethyl butanoate 3-Carene Ethyl acetate Ethyl 2-butenoate

C. Mahidol, N. Chimnoi and D. Chokchaichamnankit S. Techasakul. Faculty of Science

Analysis of Sulfur-Containing Flavor Compounds By GC/MS With A PFPD

Structures and Functions of Living Organisms

Ecological Effects of Leaf Mining Plant Performance and Trophic Dynamics

Dipartimento di Agraria, Università Mediterranea di Reggio Calabria, Feo di Vito, Sez. di Entomologia Agraria e Forestale, I Reggio Calabria

AppNote 7/2003. Coupling Retention Time Locked Methods and Libraries to Automated SPME or SBSE for Analysis of Flavors and Fragrances

Observations on the Transmission of Ophiostoma ulmi by the Smaller Elm Bark Beetles (Scolytus spp.)

Mountain Pine Beetle. Yukon Forest Health Forest insect and disease. Energy, Mines and Resources Forest Management Branch

Parasitic Diseases. Plants killing plants

Stories of Atmospheric Chemistry in the Lower Fraser Valley

The flight of the Cameraria ohridella population in the city of Timisoara, Romania

Developing Reactivity- and Source-Based Monoterpene Parameterizations for SOA Modeling

Volatile Oil Composition of Four Populations of Satureja Montana L. from Southern France

Emission measurements according to, M1 (3 appendices)

Jack Cochran, Lindsey Shear-Laude, Alex Hodgson VUV Analytics Emerald Conference. #emeraldconference

JOHN A. BYERS Department of Animal Ecology, University of Lund, S Lund, Sweden

Comparison of Terpene Composition in Engelmann Spruce (Picea engelmannii) Using Hydrodistillation, SPME and PLE

Odor Detection and Analysis using GC/SAW znose

CHAPTER Identification of side products in the synthesis of MMBC. As shown in the previous chapter, MMBC can be produced with high

GCXGC-qMS with Total Flow Modulation for Volatile secondary metabolites analysis from organically-grown apples by HS-SPME

Arthropod Containment in Plant Research. Jian J Duan & Jay Bancroft USDA ARS Beneficial Insects Research Unit Newark, Delaware

Oak Ambrosia Beetle, Platypus quercivorus

Do plants have internet? Interplant communication via common mycorrhizal networks. Jennifer Slater

Research Article Comparative Study of Chemical Composition of Lantana Camara Leaf, Flower & Fruit Essential Oil

What is insect forecasting, and why do it

Seasonal Variation in a Hymenopterous Parasitoid, Holcotetrastichus rhosaces

Analysis of Trace (mg/kg) Thiophene in Benzene Using Two-Dimensional Gas Chromatography and Flame Ionization Detection Application

USING PLANT PHENOLOGY TO MONITOR INSECT PESTS OF LANDSCAPE PLANTS

AppNote 7/2003. Coupling Retention Time Locked Methods and Libraries to Automated SPME or SBSE for Analysis of Flavors and Fragrances KEYWORDS

Structures and Functions of Living Organisms

Essential Oil composition from the aerial parts of Haplophyllum linifolium (L.) G. Don fil.

Biology and Ecology of Forest Health. Climate Change and Tree Health

Aroma characterization based on aromatic series analysis in table. grapes

Practical Faster GC Applications with High-Efficiency GC Columns and Method Translation Software

Behavioural sequence in the attraction of the bark beetle Ips typographus to pheromone sources

AN INTEGRATED SYSTEM USING TEMPERATURE BASED SAMPLING FOR POLYMER CHARACTERIZATION

Case 1:13-cv WBH Document Filed 12/30/16 Page 406 of 519. Exhibit 53

GC-FTIR Analysis of Lemon Extract: Gram-Schmidt Chromatogram. Solvent Peak(2.20) H 3 C CH Air Peak(2.08)

Electrophysiological and behavioral responses of Dendroctonus valens to non-host volatiles

VGA-100 Instrument Detection Limits and Linearity

Analysis of USP Method <467> Residual Solvents on the Agilent 8890 GC System

Allelopathy In Trees

Musk thistle and Canada thistle

fruticosa (Craib) J. Sinclair*

JWH-018 and JWH-022 as Combustion Products of AM2201

Residual effect of two insecticides and neem oil against epilachna beetle, Epilachna vigintioctopunctata (Fab.) on bitter gourd

CHEMICALS IN HOST PARASITOID AND PREY PREDATOR RELATIONS

SEASONAL VARIATION OF TERPENOID CONSTITUENTS IN NATURAL POPULATIONS OFJUNIPERUS PINCHOTII SUDW.

CHEM 429 / 529 Chemical Separation Techniques

Identification of host-derived attractants and repellents for improving Culicoides management on deer farms

High Pressure/Performance Liquid Chromatography (HPLC)

Microwave dry distillation as an useful tool for extraction of edible essential oils

Growth and development of Earias vittella (Fabricius) on cotton cultivars

Abstract The Canadian Entomologist 32: (2000)

Responses of queenright and queenless workers of Apis cerana to 9-keto-2(E)-decenoic acid, a pheromonal constituent of the mandibular gland

Volatiles emission patterns of different plant organs and pollen of Citrus limon

Disruption of Western Pine Beetle, Dendroctonus brevicomis, Response to Baited Traps With Nonhost Angiosperm Volatiles and Verbenone

ACCURACY OF MODELS FOR PREDICTING PHENOLOGY OF BLACKHEADED FIREWORM AND IMPLICATIONS FOR IMPROVED PEST MANAGEMENT

Gypsy Moth Defoliation Harpers Ferry, Va

Accepted 1 August, 2012

We don t have anything against mass spectrometry. We just think it s time for a worthy alternative.

Transcription:

Q.-H. Zhang et al.: Electrophysiological responses of Thaumetopoea pityocampa females to host volatiles 103 Anz. Schädlingskunde J. Pest Science 76, 103 107 Ó 2003, Blackwell Verlag, Berlin ISSN 1436-5693 1 Chemical Ecology, Department of Crop Science, Swedish University of Agricultural Sciences, P. O. Box 44, SE-230 53 Alnarp, Sweden; 2 DAAPV - Entomologia, Università di Padova, Via Romea 16a, Agripolis 35020 Legnaro PD, Italy; 3 Chemical Ecology, Department of Botany, Göteborg University, Box 461, SE-405 30 Göteborg, Sweden; 4 Present address: USDA-ARS Chemicals Affecting Insect Behavior Laboratory, BARC-West, B-007, 10300 Baltimore Avenue, Beltsville, MD 20705, USA Electrophysiological responses of Thaumetopoea pityocampa females to host volatiles: implications for host selection of active and inactive terpenes By Q.-H. Zhang 1,4,F.Schlyter 1,A.Battisti 2,G.Birgersson 3 and P. Anderson 1 Abstract Volatiles from newly cut branches with needles of Pinus sylvestris L. were collected with headspace sampling technique, and then identified and quantified by combined gas chromatographic-mass spectrometry (GC-MS). The response of antennae of the female pine processionary moth, Thaumetopoea pityocampa, to these volatiles was recorded by coupled gas chromatographic-electroantennographic detection (GC-). Surprisingly, the most common and major monoterpene hydrocarbons (MT), a-pinene, 3-carene, and b-pinene were antennally inactive. Female antennae responded strongly only to four minor MT components, myrcene, b-phellandrene, trans-b-ocimene, and terpinolene. Weaker, but repeatable responses were also found to limonene, cis-b-ocimene, and c-terpinene. Further recordings with two synthetic MT mixtures supported our findings from the natural material. When separating the two enantiomers of limonene by running different synthetic MT mixtures, the response was found only to the ())-enantiomer, but not to the opposite (+)-enantiomer. -responses were also found to some less volatile compounds, such as sesquiterpenes (SqT), active at ng-levels. The sensitivity and specificity of the antenna to a select number of active host MTs and SqTs suggest that these play a role in the host selection process of T. pityocampa females. 1 Introduction The pine processionary moth, Thaumetopoea pityocampa Schiff.; is one of the most destructive pine defoliators in the Mediterranean region (Schmidt, 1989; Zhang and Paiva, 1998). It not only causes significant economic damage by severe defoliation (Devkota and Schmidt, 1990), but also serious allergic reactions to humans and other mammals by the urticating hairs of the late instar larvae (Lamy, 1990). Many indigenous and exotic Pinus species are host plants of T. pityocampa in Southern Europe, North Africa, and the Near East (Avtzis, 1986, Schopf and Avtzis, 1987; Battisti, 1988; Devkota and Schmidt, 1990; Zhang and Paiva, 2003). In addition to tree shape, host volatiles (kairomones or allomones) are suggested to play a role in the habitat selection (Mendel, 1988; Tiberi et al., 1999). A study in Portugal on the needle monoterpene compositions from 12 pine species showed a statistical correspondence between the intensity of the attack by T. pityocampa and amounts and ratios of two major monoterpene hydrocarbons (Mateus et al., 1998). The presence of a-pinene and b-pinene, and their specific ratios, has been reported as stimuli for the oviposition preference of Choristoneura fumiferana (Städler, 1974) and Panolis flammea (Leather, 1987). We chose the gas chromatographic-electroantennographic detection (GC-) technique to investigate the olfactory host selection mechanisms of T. pityocampa females and to determine the potential kairomone chemicals involved. The pine odours are a complex mixture (Da Silva et al., 2001), and the chemical identification of all components or, alternatively, the fractionation of such a blend for subsequent behavioural testing would be a demanding task. The GC- method will pinpoint the physiologically active components of a mixture (Arn et al. 1975), but it will not reveal their behavioural function (attractive, repellent or other). The antennally active components will, however, define a biologically relevant group of compounds for subsequent behavioural testing. In a first step of the elucidation of the kairomonal signal for the pine processionary moth, we report here the results of GC- tests of females on volatiles from P. sylvestris. 2 Materials and methods 2.1 Insects The pupae of T. pityocampa were collected in June 1999 in a mixed stand of Pinus in NE Italy (Colli Euganei, Padova 45 16 N, 11 44 E, 100 130 m.a.s.l.) and were put individually into plastic containers, and kept at 25 C, 70 % R. H. and 16:8 (L:D) photoperiod. The emerged adults were used for electrophysiological recordings on the day of emergence or the following day, in Alnarp during July and August of the same year. 2.2 Volatile collection Headspace collection was made in a P. sylvestris L. stand, 30 km east of Lund, Sweden, in 2 May 1998. Volatiles from three newly cut branches of P. sylvestris with needles (each ca. 35 cm long, with total fresh weight of 118 g) were collected by enclosing them in a polyester bag (MenyÒ ToppitsÒ, 35 43 cm, England) through which activated charcoal filtered air was sucked at 300 ml/min by a mini-pump. The effluent volatiles were absorbed on 30 mg of Porapak QÒ (mesh 50 80, Supelco, USA) in a 3-mm ID TeflonÒ tube for 1.5 h. Air temperature inside the sampling bag was recorded during the U.S. Copyright Clearance Center Code Statement: 1436 5693/2003/7604 0103 $15.00/0

104 Q.-H. Zhang et al.: Electrophysiological responses of Thaumetopoea pityocampa females to host volatiles aeration with a digital Min-Max thermometer, as 21 22.5 C. The Porapak Q filter was rinsed with 300 ll diethyl ether (Fluka puriss p.a.), and the aeration extract was stored at )20 C until GC- and GC-MS analyses. 2.3 GC- and GC-MS analyses About 1 ll of the pine needle aeration samples were injected splitless into a HP 5890 GC equipped with a HP-INNOWAX column (30 m 0.25 mm 0.25 lm) and a 1:1 effluent splitter that allowed simultaneous flame ionisation detection () and electroantennographic detection () of the separated volatile compounds (see Zhang et al., 1999 for details). GC- recordings were done using excised antennae of T. pityocampa females suspended between two saline-filled wells (Zhang et al., 1997). Antennal signals were amplified (JoAC, Lund, Sweden) before they were stored on a PC equipped with an IDAC-card and the program ver. 2.3 (Syntech, Hilversum, The Netherlands). Using the same technique, we injected two synthetic monoterpene reference mixtures, with different enantiomers if available, (1 ll/injection) to confirm compound identity and study enantioselective responses. The reference mixtures contained well-known Pinus major monoterpenes and those compounds that were candidates for the active peaks, based on retention times and GC-MS identifications from the natural extract. For b-phellandrene, no reference was available. All samples were run at least three times. The criterion for activity was a response clearly different from noise, observed at least two times for the natural sample and three times for the synthetic mixes. Chemical analyses were made on a HP 5890 series II gas chromatograph coupled with a HP 5972 mass selective detector (GC-MSD, as described by Zhang et al., 1999). Volatiles were identified by comparison of retention times and mass spectra with those of synthetic compounds for monoterpenes, with computer data in the NBS75K library, and with our own KEM-EKOL library for sesquiterpenes or other less volatile compounds. 3 Results GC- analysis of the headspace sample of P. sylvestris needles showed that T. pityocampa female antennae responded strongly to 4 minor monoterpene hydrocarbons (MT) components; myrcene, b-phellandrene, trans-b-ocimene and terpinolene (fig. 1A). Weaker, but repeatable responses were also found to 3 other components: limonene, cis-b-ocimene, and c-terpinene. However, the two major MTs, a-pinene and D3-carene, and one of the most common MTs of Pinus spp.; b-pinene, elicited no antennal responses even at the large amounts present in the natural extract (fig. 1A). Further recordings with the two reference MT mixtures fully supported our findings from the natural materials, with the strong, repeatable antennal responses again to the same 4 components: myrcene, cis-b-ocimene, transb-ocimene, and terpinolene (figs. 1B and 1C). When presenting the two enantiomers of limonene in two different reference MT mixtures to the antenna, an response could not be found to the (+)-enantiomer (fig. 1B) but only to the opposite enantiomer, ())- limonene (fig. 1C). One of the strongly active MTs from the pine-needle aeration sample, b-phellandrene, was not available as enantiomer for inclusion in the synthetic mixtures. In addition to the compounds in the highly volatile MT fraction, the T. pityocampa female antennae also showed GC--responses to as many as 15 compounds with lower volatility occurring later in the chromatogram (fig. 2). Clear responses were found, in spite of the low amounts emitted from the pine needles and presented to the antennae. Two aromatic compounds, 2-ethyl-1-hexanol, and several sesquiterpenes (SqT) were clearly active at the ng-level (fig. 2). The most dominant SqT in the headspace sample, active peak No 15 (fig. 2), was only 1/60 of that of the major MT, D3-carene. 4 Discussion Our data are the first electrophysiological evidence that T. pityocampa female antennae respond to the host terpenes. The responses show that T. pityocampa female antennae are able to detect several minor monoterpene and sesquiterpene components emitted from the pine needles. Surprisingly, the most dominant host volatiles in the pine needle emission, a-pinene, b-pinene, and D3-carene elicited no responses by the female antennae at the doses tested. These 3 monoterpenes are released from most Pinus species at high levels (Mateus et al., 1998; Da Silva et al., 2001). In contrast, the minor MT components and less volatile SqTs to which the antennae were sensitive may show more qualitative and quantitative variation among Pinus host trees than so far investigated. The phytophagous insects might effectively exploit such variation in minor constituents for their host finding. A similar pattern of low, but in this case still existing, response to major MTs was found in the pine shoot beetles, Tomicus piniperda and T. minor (Schlyter et al. 2000). Some of the -active MTs found in this study are chiral monoterpenes, e.g. limonene and b-phellandrene. The enantiomeric-specific response was found only to the ())-limonene, even though both enantiomers occur in needles of P. sylvestris and other pines with variable ratios (Sjödin et al., 1996; Da Silva et al., 2001). Separation of antennal activity to the enantiomers of b-phellandrene has not been done yet. Further GC- analyses with chiral columns and standards seems to be necessary. A previous study in Portugal examined in detail the host chemistry, including enantiomer composition, of needle MTs in 10 pine species (Da Silva et al., 2001). A correlation of the intensity of the attack by T. pityocampa (mean number of larval winter nests/tree) and the host monoterpenes was found (Paiva et al., 1998; Mateus et al., 1998). The 3 major MTs (a-pinene, b-pinene, and limonene) as well as their ratios showed statistically significant correlations. These correlations might be non-causal, or, alternatively, the correlations of chemistry host choice might be caused by collinearity among monoterpene components due to their shared basic biosynthetic pathways. In the light of our GC- findings, exclusion of the -inactive MTs from their principle component analyses might reveal the biologically significant correlations between the attack levels and antennally active minor MTs.

Q.-H. Zhang et al.: Electrophysiological responses of Thaumetopoea pityocampa females to host volatiles 105 α-pinene (600) camphene (10) β-pinene (60) sabinene (130) 3-carene (1200) myrcene (160) limonene (30) α-terpinene (15) β-phellandrene (165) cis-β-ocimene (1 ) γ-terpinene (35) trans-β-ocimene (5) p-cymene (10) terpinolene (230) A α-pinene(50) β-pinene (55) 3-carene (55) myrcene (10) α-terpinene(55) (+)-limonene (60) cis-β-ocimene (5) trans-β-ocimene (20) terpinolene (60) B α-pinene (50) β-pinene (55) 3-carene (55) myrcene (10) α-terpinene (55) ( )-limonene (60) cis-β-ocimene (5) trans-β-ocimene (20) terpinolene (60) C 4.0 5.0 6.0 7.0 8.0 9.0 Retention time (min) Fig. 1. GC- responses of Thaumetopoea pityocampa female antennae to monoterpenes from headspace samples of Pinus sylvestris needles (A) and from two synthetic MT-mixtures (B and C). Mixtures in B) and C) differ only in the enantiomers of limonene. The amount of each compound directed toward the antenna was estimated and presented as ng (in parenthesis). Compound names in bold are those compounds giving a repeatable antennal response.

106 Q.-H. Zhang et al.: Electrophysiological responses of Thaumetopoea pityocampa females to host volatiles 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 10.0 11.0 12.0 13.0 14.0 15.0 Retention time (min) Fig. 2. GC- responses of Thaumetopoea pityocampa female antennae to less volatile compounds, e.g. sesquiterpenes (SqT), from headspace sample of Pinus sylvestris needles. The active GC- peaks (numbered) were tentatively identified (based on retention time index and mass spectra) and quantified (ng) as follows: (1): 1-Ethyl-4-methoxy-benzene (1); (2): 1-methyl, ethoxybenzene (1); (3): oxygenated MT (3); (4): 2-ethyl-1-hexanol (1); (5): un-identified (1); (6): un-identified (1); (7): un-identified SqT (1); (8): SqT (c-muurolene, 3); (9): SqT (b-caryophyllene, 11); (10): SqT (c-gurijunene, 1); (11): SqT (selinene, 1); (12): a-humulene, 2); (13): SqT (germacrene D, 7); (14): SqT (germacrene B, 5); (15): SqT (d-cadinene, 20). GC- analysis is an efficient approach to find antennally active compounds from complex odour blends (Arn et al., 1975), but -active volatiles may or may not be behaviourally active. Therefore, behavioural studies with these -active MTs or SqTs are needed to confirm any potential kairomonal or deterrent activity, and to elucidate their roles in the host selection process of T. pityocampa. The antennally active less volatile compounds, including SqTs, are particularly interesting as they may, due to their lower volatility but high activity, give females important information both before and after landing. Recently, limonene (both enantiomers) has been found deterrent to egg laying of T. pityocampa females by Tiberi et al. (1999). It should be pointed out that the headspace sample was taken from the needles of P. sylvestris in southern Sweden, a nondistribution area of T. pityocampa. There are significant geographical variations in the MT composition within this pine species (Fäldt, 2000). Further GC- analysis of other pine species and moth populations from the distribution area, combined with behavioural tests, will provide more ecologically relevant information on the host selection mechanisms. Guided by the present results, such studies are now underway, in the multi-national EU project PROMOTH. Acknowledgements We are grateful to Dr. A.-C. Bäckman (Alnarp, Sweden) for help with the recordings, especially the portable antennae holder. We also thank Prof. M. R. Paiva and Dr Y. Hillbur for valuable comments. The EU project PROMOTH ÔÔGlobal change and pine processionary moth: a new challenge for integrated pest managementõõ (QLRT-2001-00852) provided support for the computer evaluation of the electrophysiological data and for the compilation of this paper. References Arn, H.; Städler, E.; Rauscher, S. (1975): The electroantennographic detector - a selective and sensitive tool in the gas chromatographic analysis of insect pheromones. Z. Naturforsch. 30c, 722 725. Avtzis, N. (1986): Development of Thaumetopoea pityocampa (Den. & Schiff.) in relation to food consumption. For. Ecol. & Mngmnt 15, 65 68. Battisti, A. (1988): Host-plant relationship and population dynamics of the pine processionary caterpillar, Thaumetopoea pityocampa (Den. & Schiff.). J. Appl. Entomol. 105, 393 402. Devkota, B.; Schmidt, G.H. (1990): Larval development of Thaumetopoea pityocampa (Den. & Schiff.) from Greece as influenced by different host plants under laboratory conditions. J. Appl. Entomol. 109, 321 330. Fäldt, J. (2000): Volatile constituents in conifers and coniferrelated wood-decaying fungi: Biotic influences on the monoterpene compositions in pines. Ph.D. thesis. Royal Inst. of Techn., Stockholm. Da Silva, M.D.R.G.; Mateus, E.P.; Munha, J.; Drazyk, A.; Farall, M.H.; Paiva, M.P.; Das Neves, H.J.C.; Mosandl, A. (2001): Differentiation of ten pine species from central Portugal by monoterpene enantiomer-selective composition analysis using multidimensional gas chromatography. Chromatographia (Suppl. Part 2) 53, S412 S416.

Q.-H. Zhang et al.: Electrophysiological responses of Thaumetopoea pityocampa females to host volatiles 107 Lamy, M. (1990): Contact dermatitis produced by processionary caterpillars (Thaumetopoeidae). J. Appl. Entomol. 110, 425 437. Leather, S. R. (1987): Pine monoterpenes stimulate oviposition in the pine beauty moth, Panolis flammea. Entomol. Exp. & Appl. 43, 295 303. Mateus, E.; Farral, H.; Zhang, Q.-H.; Paiva, M.R. (1998): Relationship between the attack level by the processionary moth Thaumetopoea pityocampa and volatile monoterpene composition for twelve pine species. Intern. Soc. of Chem. Ecology 13 th Ann. Meeting, Ithaca, New York, June 20 24, 1998, Abstract (O-53). Mendel, Z. (1988): Host selection by the pine processionary caterpillar Thaumetopoea wilkinsoni. Phytoparasitica 16, 101 108. Paiva, M.R.; Mateus, E.; Zhang, Q.-H.; Farral, H. (1998): Host selection and colonization by the processionary moth Thaumetopoea pityocampa (Lep.; Thaumetopoeidae). Proceed. of Workshop: Advances in Insect Chemical Ecology, Lisbon, Portugal, 15 16, Oct. 1998, pp. 26 27. Schlyter, F.; Zhang, Q.-H.; Anderson, P.; Byers, J.A.; Wadhams, L.; Löfqvist, J.; Birgersson, G. (2000): Electrophysiological and behavioural responses of pine shoot beetles, Tomicus piniperda and T. minor (Coleoptera: Scolytidae), to non-host leaf and bark volatiles. Can. Entomol. 132, 965 981. Schmidt, G.H. (1989): Life cycles of Thaumetopoea species distributed in different regions of Europe, North Africa, and Near East. Proceedings of the Thaumetopoea-Symposium, Neustadt/Rbge, pp. 20 34. Schopf, R.; Avtzis, N. (1987): Die Bedeutung von Nadelindaltsstoffen für die Disposition von fünf Kiefernarten gegenüber Thaumetopoea pityocampa. J. Appl. Entomol. 105, 340 350. Sjödin, K.; Persson, M.; Borg-Karlson, A.K.; Norin, T. (1996): Enantiomeric compositions of monoterpene hydrocarbons in different tissues of four individuals of Pinus sylvestris. Phytochemistry 41, 439 445. Städler, E (1974): Host plant stimuli affecting oviposition behaviour of the eastern spruce budworm. Entomol. Exp. & Appl. 17, 176 188. Tiberi, R.; Niccoli, A.; Curini, M.; Epifano, F.; Marcotullio, M.C.; Rosati, O. (1999): The role of the monoterpene composition in Pinus spp needles in host selection by the pine processionary caterpillar, Thaumetopoea pityocampa. Phytoparasitica 27, 263 272. Zhang, A.; Robbins, P.S.; Leal, W.S.; Linn, C.E.; Villani, G.; Roelofs, W.L. (1997): Essential amino acid methyl esters: Major sex pheromone components of the cranberry white grub, Phyllophaga anxia (Coleoptera: Scarabaeidae). J. Chem. Ecol. 23, 231 245. Zhang, Q.-H.; Paiva, M.R. (1998): Female calling behaviour and male response to the sex-pheromone in Thaumetopoea pityocampa. J. Appl. Entomol. 122, 353 360. Zhang, Q.-H.; Paiva, M.R. (2003): Relative susceptibility of eleven pine species to the attack of the pine processionary moth Thaumetopoea pityocampa (Den. & Schiff.) in central Portugal. (Manuscript). Zhang, Q.-H.; Birgersson, G.; Zhu, J.-W.; Löfstedt, C.; Löfqvist, J.; Schlyter, F. (1999): Leaf volatiles from nonhost deciduous trees: variation by tree species, season, and temperature and electrophysiological activity in Ips typographus. J. Chem. Ecol. 25, 1923 1943. Correspondence: Fredrik Schlyter, Swedish University of Agricultural Sciences, Dept. of Crop Science, P.O. Box 44, 230 53 Alnarp, Sweden. Fax: +46 40 462166 E-mail: fredrik. schlyter@vv.slu.se