Chemical Senses 2005 30(Supplement 1):i297-i298; doi:10.1093/chemse/bjh232
Chemical Senses Vol. 30 No. suppl 1 © Oxford University
Press 2005; all rights reserved
Innate and Changed Responses to Plant Odours in Moths and Weevils
Hanna Mustaparta
Department of Biology, Neuroscience Unit, Norwegian University of Science and
Technology, Trondheim, Norway
Correspondence to be sent to: Hanna Mustaparta, e-mail:
hanna.mustaparta{at}bio.ntnu.no
Key words: antennal lobe projection neurons, olfactory
coding, olfactory receptor neurons, suboesophageal
ganglion, taste receptor neuron projections
 |
Introduction
|
|---|
The challenge for the olfactory system in animals is to detect
the large diversity of
molecules released by food or host plants
and to discriminate these odours from
irrelevant ones. Molecular
biological studies of vertebrates and insects have shown that
the olfactory information is not handled by a few, but by a
large and species-specific
number of receptor proteins (Vosshall,
2003

;
Mombarts, 2004

). Furthermore, the
olfactory receptor
neurons (ORNs) are divided into subpopulations, each expressing
only
one type of receptor protein and converging in one or
two specific glomeruli in the
primary olfactory centres, i.e.
the antennal lobe in insects and olfactory bulb in
vertebrates.
Questions of interest in our studies of insects are how receptor
and central
interneurons encode plant odour information leading
to behavioural responses as well as
the neuronal mechanisms
underlying olfactory learning. By comparing related species
of
moths (subfamily Heliothinae) with distantly related moths
and weevils, our intention is
to identify similarities and
differences of the olfactory coding mechanisms across
species.
Recognition of odours requires learning and memory of the odour,
as shown in the
honeybee (Menzel, 2001

). Heliothine
moths
also can learn odours, which seems to be important in the selection
of host plants
for nectar feeding and egg-laying (Cunningham
et al., 1998

;
Hartlieb
et al., 1999

; H.T.
Skiri
et al.,
unpublished data).
 |
Identification of biologically relevant plant odorants
|
|---|
The first question to be asked is which compounds of the complex
mixtures of volatiles
released by host and non-host plants
are detected by the ORNs. Naturally produced
volatiles are
trapped by adsorbents during aeration of intact plants or cut
plant
materials (head-space technique) (Røstelien
et al., 2000a

). The compounds are
then eluted by solvents and
used as test samples. Gas chromatography with two parallel
columns
linked to electrophysiological recordings from single neurons
is employed to test
the stimulation of the ORNs by the separated
compounds. The use of one chiral column for
separating optical
isomers has enabled tests of pure enantiomers on single ORNs
(Stranden
et al., 2002

,
2003a). The effective compounds are
then identified by GC-MS and NMR, followed by
retesting authentic
materials on the ORNs. This provides information not only on
which
odorants are detected, but also about the molecular receptive
ranges of the ORNs.
 |
The molecular receptive range and enantioselectivity of the olfactory receptor neurons in closely and distantly related species
|
|---|
The results have shown that the ORNs in these insect species
primarily respond by
excitation to the odorants and fall into
distinct types according to their molecular
receptive ranges
(Røstelien
et
al., 2000a

,b;
Stranden
et al., 2002

,
2003a,b). They show strong responses to one or two primary
odorants and weak responses to
a few chemically related compounds
(secondary odorants), demonstrating a narrow tuning.
These
results correlate well with the principle that one type of receptor
protein is
expressed in each ORN. The molecular receptive ranges
show no or minimal overlap for
neurons responding to the same
chemical group. For instance, the monoterpene alcohol,
(+)-linalool,
being the primary odorant for one ORN type, is a secondary odorant
for
the ORNs primarily responding to another monoterpene alcohol,
geraniol. In three related
species of heliothine moths the
same functional types of ORNs have been found. One
example
is the germacrene D type, for which ()-germacrene D has
a 10-fold stronger
effect than (+)-germacrene D, which differs
in the direction of the isopropyl group
in relation to the
10-carbon ring (Stranden
et al., 2003a

,b). The much weaker
effect of three other
sesquiterpene molecules seems to be due
to their less flexible ring systems. These
properties are similar
for all germacrene D types of ORNs in three heliothine species.
In
addition, the strawberry weevil (
Anthonomus rubi) has one
ORN type tuned to
()-germacrene D, responding with lower
sensitivity to (+)-germacrene D
(Bichao
et al., unpublished
data). However, in this species the secondary
odorants are
different molecules to those in the heliothine moths, suggesting
that the
germacrene D ORNs in the two insect groups have evolved
independently in the adaptation
to their host plants. Species
differences are also shown in respect to the presence of
different
ORN types tuned to the opposite enantiomers of linalool (Røstelien
et al., 2000a

,b). Altogether, the
results obtained in these
moth and weevil species show a narrow tuning and a minimal
overlap
of the molecular receptive ranges of the ORNs. These data on
insects are in
contrast to the results of broadly tuned ORNs
reported in vertebrates, and may reflect
the low homology found
between the receptor proteins in insects and vertebrates
(Breer,
2003

).
 |
The antennal lobe: optical imaging and intracellular recordings from projection neurons
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Models of the antennal lobes of three heliothine species have
shown the presence of
6264 glomeruli involved in plant
odour information (Berg
et al., 2001

; H.T. Skiri
et al.,
unpublished
data). In one study, optical recordings of the glomerular activity
elicited
by some of the primary and secondary odorants have
been studied (H.T. Skiri
et
al., unpublished data). In these
recordings, covering ~20 glomeruli of the anterior
antennal
lobe (AL), each primary odorant elicited activity in specific
glomeruli. In
addition, three glomeruli were found that responded
to two or three primary odorants,
which is in contrast to the
principle of one ORN type converging in each glomerulus. The
results from these optical recordings, indicating the input
to the glomeruli, are
compared with the responses of projection
neurons (PNs) in the antennal lobe,
representing the glomerular
output. Responses of PNs to primary and secondary odorants
are
studied by the use of intracellular recordings combined with
injection of fluorescent
dyes for visualization of the morphology
of the neurons by confocal laser scanning
microscopy (CLSM).
This is followed by reconstruction of the neurons and the innervated
brain structures using the AMIRA software. Different types
of PNs have been demonstrated.
They are characterized by physiological
responses to different odorants, dendrite
arborizations in
one or more glomeruli, axons in different antenno-cerebral tracts
and
projection patterns in the calyces of the mushroom bodies
and lateral protocerebrum
(Müller
et al., 2002

).
The
responses of the PNs are compared with the molecular receptive
ranges of the
functionally characterized ORNs, and this indicates
that there is excitatory input from
one ORN type and inhibition
mediated via local interneurons from another ORN type.
Recordings
from a multiglomerular PN with scarce innervation in each of
many glomeruli
indicated that specific blends of odorants might
be required for spike firing. In further
studies we hope to
determine the overall representation of the odour quality of
primary
and secondary odorants in the glomeruli of the antennal
lobe and find out whether the
different antenno-cerebral tracts
in these moth species convey different biologically
relevant
information.
 |
Projections of gustatory receptor neurons in the brain and the possible neuronal connection with the olfactory pathway involved in associative learning
|
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Associative learning is studied by the use of the proboscis
extension response (PER)
(Menzel, 2001

). By pairing an odour
stimulus (conditioned stimulus), followed by sucrose stimulation
to the gustatory
sensilla (unconditioned stimulus), the insects
learn to associate the odour with the
sucrose reward. In order
to trace the neuronal connections between the pathways mediating
the unconditioned and the conditioned information in heliothine
moths, the projections of
the gustatory receptor neurons have
been traced. Two populations of gustatory receptor
neurons
are present, one located in the contact chemosensilla on the
antennae (sensilla
chaeticae) and another in sensilla styloconicae
on the proboscis. By the use of
fluorescent dyes for visualization
in CLSM and reconstruction in AMIRA, the projections
are found
in two closely located fingerlike areas in the SOG (Jørgensen
et al., 2002

;
Kvello
et al., 2002

). One
neuron has been found
that might form the connection between the taste and the olfactory
pathway (Müller
et al.,
2002

). The morphology of this
neuron resembles the VUMmx1 involved in
associative learning
in the honeybee (Hammer,
1993

). Thus, it may mediate the connection
between the US and CS in the
heliothine moths.
In behavioural experiments we have started to study the importance of olfactory
learning in moths and weevils. In moths, conditioning of the PER is used to determine the
ability to learn the identified odorants, including concentration dependency and salience
(H.T. Skiri et al., unpublished data). By differential conditioning, the ability
to discriminate between primary and secondary odorants are revealed, e.g. whether the
moths may more easily distinguish different primary odorants than primary and secondary
odorants activating the same ORNs, as indicated in the study by Skiri et al. The
perception and discrimination of single odorants and mixtures are investigated in further
experiments on PER conditioning. In another learning study of the pine weevil
(Hylobius abietis), multiple-choice experiments are used to investigate how
previous experience with food materials influences the preference for an odour. The
weevils were found to change their preference for two attractive enantiomers, depending
on the experience with different food materials (O. Roten et al., personal
communication). The enantiomeric content in the food plants correlated with the preferred
enantiomer. Thus, olfactory learning in addition to the innate responses to odorants may
play a significant role for host attraction in the pine weevil as well.
 |
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