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Body size and developmental temperature in Drosophila
simulans: comparison of reaction norms with sympatric
Drosophila melanogaster
Jp Morin, B Moreteau, G Pétavy, Ag Imasheva, Jr David
To cite this version:
Original
article
Body
size
and
developmental
temperature
in
Drosophila
simulans:
comparison
of reaction
norms
with
sympatric
Drosophila
melanogaster
JP Morin
B Moreteau
G
Pétavy
AG
Imasheva
2
JR
David
1
Laboratoire de
populations, genetique
etevolution,
CNRS,
91198
Gif sur-Yvette cedex, Prance;
2
L!avilov Institute
of
GeneralGenetics,
3 GubkinStreet,
117809Moscow,
Russia(Received
10 November1995; accepted
7July
1996)
Summary - Reaction norms of two size-related traits
(wing
and thoraxlength)
wereanalyzed
in relation togrowth
temperature in a French naturalpopulation
ofDrosophila
simulans, using
the isofemale lines method. Thewing/thorax
ratio was also studied.Data were
compared
to those of thesibling species Drosophila melanogaster
from thesame
locality.
Flies were reared at seven constant temperatures,representing
the whole thermal range of the twospecies. Phenotypic
andgenetic
variabilities wereanalyzed.
Forinvestigating
theshape
of the response curves(ie,
reactionnorms)
two methods were used:analysis
ofslope
variations andpolynomial adjustments.
Asexpected
from the relatedness of the twospecies,
many similarities were observed.Notably,
the reaction norms ofwing
and thorax
lengths
exhibited a maximum at low temperature, while thewing/thorax
ratiowas a
regularly decreasing sigmoid
curve. Numerous and sometimes great differences were also observed. At thephenotypic level,
D simulans wasgenerally
morevariable,
while atthe
genetic level,
it was less variable than Dmelanogaster.
Isofemale line heritabilitiesvaried
according
togrowth
temperature, but with different patterns in the twospecies.
In both
species,
sexualdimorphism
increased with temperature, but the average valuesand the response curves were different. The reaction norms of
wing
and thoraxlengths
weremainly
characterizedby
different TMSs(temperatures
of maximumsize)
with lowervalues in D simulans. This
species
was also characterizedby
a much lowerwing/thorax
ratio with a
higher
TIP(temperature
of inflexionpoint).
Thepossible adaptive significance
of these variations remains unclear.Indeed,
TMS variations suggest that D simulans could be more tolerant to cold than itssibling.
On the otherhand,
the lowerwing/thorax
ratio of D simulans suggests awarm-adapted species.
Résumé - Taille corporelle et température de développement chez Drosophila simu-lans : comparaison des normes de réaction avec l’espèce sympatrique Drosophila
melanogaster. Les normes de réaction de la taille du corps
(aile
etthorax)
et du rapportailé/thorax
ont étéanalysées
enfonction
de latempérature
dedéveloppement
par laméthode des
lignées isofemelles.
Deuxpopulations
naturellessympatriques françaises
desespèces
sceursDrosophila
simulans etDrosophila melanogaster
ont étécomparées.
Lesdrosophiles
ont été élevées à septtempératures
constantescomprises
entre 12 et 31°C,
cequi recouvre l’ensemble de la gamme des
températures possibles
pour ces deuxespèces.
La variabilité
phénotypique
entre les individus d’une mêmelignée
a étéanalysée
enutilisant les
coefficients
de variation, et la variabilitégénétique
en utilisant lescoefficients
de corrélation intraclasse. La
forme
des courbes deréponse
(ie,
normes deréaction)
a été
analysée
par deux méthodes : la variation des pentes et lesajustements
polyno-miaux. En accord avec la
parenté
des dézixespèces,
de nombreuses similitudes ont été observées. Enparticulier
les normes de réaction de l’aile et du thoraxprésentent
unmaximum à basse
température,
tandis que le rapportaile/thorax
est une courbesigmoïde
décroissante. De nombreusesdifférences
ont aussi étéobservées, parfois
très importantes. Au niveauphénotypique,
D simulans estgénéralement plus
variable que Dmelanogaster,
tandis
qu’au
niveaugénétique
elle s’est avérée engénéral
moins variable. L’héritabilitévarie avec la
température,
mais avec des modalitésdifférentes
danschaque espèce.
Dans les deuxespèces,
ledimorphisme
sexuel(évalué
par le rapportfemelle/mâle)
augmenteavec la
température,
mais les valeurs et les courbes deréponse
sontdifférentes.
Lesnormes de réaction de l’aile et du thorax sont
principalement différenciées
par les TTMs(températures
de taillemaximale),
avec des valeursplus
basses chez D simulans. Cetteespèce
estégalement
caractérisée par un rapportaile/thorax
inférieur
avec une TPI(température
depoint
d’inflexion)
plus
élevée. Cesdifférences
sontdifficiles
àinterpréter.
En
effet,
les variations de TTMssuggèrent
que D simulans pourrait êtreplus
résistanteau
froid
que Dmelanogaster ;
en revanche le rapportailé/thorax
plus faible
de D simulanssuggère
uneadaptation
à la chaleur.plasticité phénotypique
/
lignée isofemelle/
taille de l’aile/
taille du thorax/
rapportaile/thorax
INTRODUCTION
Body
size,
which exhibitshuge
variations amongliving
organisms,
haslong
exerteda kind of fascination upon
biologists.
Size variations influence numerousbiological
traits,
such as basalmetabolism,
duration ofdevelopment
or age atmaturity
(Reiss,
1989; Stearns, 1992; Charnov,
1993).
Reciprocally,
size is atarget
for natural selection and varies as a consequence of environmental pressures. Forexample,
the oldBergman’s
ruledescribes,
in numerous homeothermspecies,
an increase of size related to a colder environment.Finally
size exhibitslarge
variations betweenindividuals of the same
population,
notonly
due togenetic
differences but also due tophenotypic plasticity,
related to different environmental conditionsduring
development.
In
Drosophila,
allometricrelationships
are not welldocumented,
although
im-portant
size variations exist betweenspecies
(Ashburner, 1989).
Severalspecies
including Drosophila melanogaster
andDrosophila
simulans exhibitgenetic
latitu-dinal clines with alarger
size under colder climate(David
etal,
1983;
Capy
etal,
1993),
these clinespresumably being
linked totemperature.
Laboratory
experiments
genetic
size variations overtime, ie,
smaller flies athigh
temperatures
andbigger
ones at lowtemperatures
(Powell,
1974;
Cavicchi etal,
1985;
Partridge
etal,
1994).
These observations remind one of
Bergman’s rule,
although Drosophila
is anecto-therm so that we do not know
why
it should be better to belarger
in a colder climate(David
etal, 1994;
Partridge
etal,
1994).
In natural
populations,
adult size exhibits ahuge variability, presumably
relatedto variations in
feeding
and thermal conditions(Atkinson,
1979;
David etal,
1980, 1983;
Coyne
andBeecham, 1987;
Imasheva etal,
1994;
Partridge
etal,
1994;
Moreteau etal,
1995).
Thisphenotypic plasticity
cannot be considered ascompletely
neutral. Forexample,
apositive
phenotypic
correlation exists between size and fitness in nature(Boul6treau,
1978; Partridge
etal,
1987).
Moreover,
Coyne
and Beecham
(1987)
demonstrated that size variations were to some extent heritable inspite
of alarge
environmentalcomponent
due toplasticity.
However,
apositive
phenotypic
correlation betweenbody
size and adult fitnesscomponents,
together
with the existence of additive
genetic
variance forbody
size,
does notnecessarily
lead to the conclusion that
body
size is thetarget
of selection(Rausher,
1992).
Up
to now,quantitative genetic
variations among naturalpopulations, including
latitudinalclines,
havegenerally
beeninvestigated
at asingle
temperature
(with
theexception
ofCoyne
andBeecham,
1987),
most often 25 °C(David
etal, 1983;
David and
Capy,
1988;
Capy
etal,
1993).
On the otherhand,
naturalselection,
which ispresumed
to beresponsible
for theclines,
acts at varioustemperatures
in different localitiesand,
in all cases, uponhighly
variablephenotypes.
Moreover,
temperature
is the mostimportant
abiotic factorexplaining
geographic
distribution and abundance ofspecies
inDrosophila
(David
etal, 1983;
Parsons,
1983;
Hoffmann andParsons,
1991).
Thus,
for a betterunderstanding
of theseproblems,
severaltemperatures
must beinvestigated
andcompared.
In otherwords,
we have toinvestigate
therelationship
betweendevelopmental
temperature
andphenotypes,
ie,
the reaction norms of various traits.Generally,
authors who were interested in thegenetics
and evolution of reac-tion normsonly
considered two environments andconsequently
linear norms(Via
andLande, 1985, 1987;
Scheiner andLyman, 1989,
1991;
DeJong, 1990; Scheiner,
1993a; Via,
1993).
Gavrilets and Scheiner(1993)
underlined,
however,
theneces-sity
ofstudying
nonlinear norms andproposed
to model themusing
polynomial
adjustments. Indeed,
when a broad range of environments(eg,
temperature)
isin-vestigated,
norms ofquantitative
traits are as a rule nonlinear(David
etal, 1983,
1990, 1994; Delpuech
etal,
1995).
A recent
controversy
hasdeveloped
concerning
thegenetics
ofplasticity.
Various authors have considered that the mean value of a trait and theshape
of the reaction norm should bedistinguished.
In otherwords,
genesregulating
theposition
of the curve(trait
mean valuegenes)
and genesregulating plasticity
(shape
genes)
might
coexist(Bradshaw,
1965;
Scheiner andLyman,
1989, 1991;
Scheiner etal, 1991;
Weber and
Scheiner,
1992;
Scheiner,
1993ab;
Gavrilets andScheiner,
1993).
But thisconception
was criticizedby
Via(1993, 1994)
who considered it an unnecessarycomplication,
and recent papers have tried to reconcile these twoapproaches
(Van
Tienderen andKoelewijn,
1994;
Via etal,
1995).
significance
of the norm? Is it a consequence of internal constraints or is itadaptive,
ie,
shaped by
natural selection?It is
generally recognized
that,
beforedeveloping
atheory
on the evolution ofreaction norms, many more
empirical
data areneeded,
relating
the norms withecological
adaptations
and lifehistory
parameters.
In thisrespect,
it will be easierto compare different
species
(Harvey
andPagel,
1991)
since alarger
evolutionary
time should havepermitted
a broaderdivergence
of the norms,especially
ifthey
wereshaped by
natural selection. In this paper, weinvestigated
the reaction norms of size traits of a naturalpopulation
of D simulans fromFrance,
andcompared
the results with those obtained for the
sibling
Dmelanogaster
from the samelocality
(David
etal,
1994).
We found similarities between the twospecies
but,
moreinterestingly,
numeroussignificant
differences. These differences demonstratethat,
within arelatively
shortevolutionary
time(about
2 millionyears)
reaction norms havediverged.
Thepossible adaptive
significance
of these variations is discussed.MATERIALS AND METHODS
A D simulans
population
was collected in avineyard
in Pont de laMaye
near Bordeaux(southern France).
Variability
of sizeaccording
totemperature
wasanalyzed,
andcompared
to apopulation
of Dmelanogaster
collected in the samelocality
andpreviously
studied(David
etal,
1994).
The isofemale lines method was used. Wild
living
females were collected with bananatraps
and used to establish 20 isofemalelines,
and ten of them were thenrandomly
chosen. Foreach,
tenpairs
of the firstlaboratory
generation
were used asparents.
They oviposited
at roomtemperature
(20 ! 2 °C)
for about half aday.
A richfeeding
medium,
based on killedyeast,
was used for thedevelopment
(David
andClavel,
1965).
Such a foodprevents
crowding
effects which could affectfly
size.
Density ranged
between 100 and 200 eggs per vial. Vials with eggs were then transferred to one of sevenexperimental
constanttemperatures
(12,
14, 17,
21,
25,
28,
31 °C).
Measured flies thuscorrespond
to the secondlaboratory generation.
Such aprocedure
is anecessity
forobtaining enough offspring
(see
Moreteau etal,
1995 for
discussion).
It also eliminatespossible
maternal effects andprovides
Hardy-Weinberg proportions
within lines. ’From each line at each
temperature,
ten females and ten males wererandomly
taken. Theirwing
and thoraxlengths
were measured with a micrometer in a binocularmicroscope.
Totalwing
length
was measured from the articulation onthe side of the thorax to the distal
tip.
Thorax was measured on a left sideview,
from the base of the neck to thetip
of the scutellum.Analyses
were madedirectly
on measurements
expressed
in mm x100,
since apreliminary
analysis
withlog-transformed data failed to show any
scaling
effect.Statistical
analyses
andorthogonal polynomial adjustments
were made withRESULTS
Variation of
wing
and thoraxlength:
mean of the ten lines Reaction normsThe response curves
(fig
1)
show that females arelarger
than males in bothspecies
and that Dmelanogaster
islarger
than D simulans. In bothspecies,
a maximum seems to exist at a lowtemperature.
Asteep
decrease from this maximum is observed whentemperature
increases,
and a shorter one whentemperature
decreases. In bothspecies, significant
differences exist between the reaction normsof
wing
and thorax.Finally
D simulans seems to exhibit its maxima for both traitsat lower
temperatures
than Dmelanogaster.
Thisproblem
will beanalyzed
further.Sources of variation
Variations were
investigated
simultaneously
on the two traits in D sim!alans with MANOVA(table I).
Sex andtemperature
are the main sources of variation. Ahighly
significant
line effect demonstrates theirgenetic
heterogeneity.
Thetemperature-line
interaction,
alsohighly significant,
shows that the reaction norms of thediffer-ent lines are not
parallel
but exhibit differentshapes. Finally
thesex-temperature
Correlation between sexes and sexual
dimorphism
Male-female correlations were
analyzed considering
the mean values of each line(table II).
There was notemperature
effect on the coefficients of correlation(ANOVA,
notshown).
Average
correlation issignificantly
lower forwing
in D sim!lans(0.66 !
0.07 versus 0.91 t 0.05 in Dmelanogaster),
but similar for thorax in bothspecies
(0.71 !
0.06 and 0.76 !0.16).
Sexual
dimorphism
was calculated at eachtemperature
and for each line as thefemale/male
ratio,
and submitted to ANOVA(not shown).
Forwing
andthorax,
only
thetemperature
effect wassignificant
while the line effect was alsohighly
significant
in Dmelanogaster.
A nested ANOVAincluding
the twospecies
(not
shown)
demonstratedhighly significant
species
differences. The two traits(wing
andthorax)
provide
the same information. In the twospecies,
the two sexes are more similar when reared at lowtemperature
(temperature effect).
Thefemale/male
ratio of D simulans is characterizedby
lower values than in Dmelanogaster
(species
effect,
see David etal,
1994)
andby
a decrease between 28 and 31 °CCovariation between
wing
andthorax;
thewing/thorax
ratioWing—thorax
correlationThe
wing-thorax
correlation wasinvestigated
at the individual(=
withinlines)
and at the line(=
between linemeans)
levels(table
III).
At the individuallevel,
the values did not vary
significantly
withtemperature;
the averagephenotypic
correlations were 0.71 for females and 0.77 for males and were similar to those obtained in Dmelanogaster
(David
etal,
1994).
For thelines,
average values weresuperior
in males(0.79
versus0.66)
but notsignificantly
so(t
test,
notshown).
In D!rcelanogaster,
values werequite
similar: 0.73 in males and 0.78 in females.Wing/thorax
ratioAverage
curves(fig 2)
have ageneral
decreasing sigmoid shape
in the twospecies,
but values are much lower in D simulans.
Statistical
analyses
(ANOVA,
notshown)
demonstratedhighly
significant
effects oftemperature
(which
explains
87%
of totalvariation)
and lines. Two-factor interactions weresignificant
as was thetriple-factor
one. Similar conclusions were obtained in Dmelanogaster
(David
etal,
1994).
On the otherhand,
the sex effect was notsignificant,
and sexualdimorphism
was very reduced for the ratio in bothspecies
(see
fig
2).
Phenotypic
andgenetic variability
Within-linevariability
two
species
concerned the levels ofvariability.
Values werehigher
in D simulans athigh
temperatures
for thewing
(25-31 °C)
and thewing/thorax
ratio(21-31 °C),
and for the thorax over the wholetemperature
range. Mean values for the seventemperatures
are,respectively
forwing, thorax,
andwing/thorax
ratio2.16 ! 0.18,
2.40 !0.21,
1.58 ! 0.15 in Dsimulans,
and 1.97 !0.17,
1.96 t0.21,
1.40 t 0.15 in Dmelanogaster.
Between-line
variability
The between-line variance was
analyzed by calculating
the coefficient of intraclass correlationt,
for each sex at eachtemperature,
which is an indicator of isofemale lineheritability
(Hoffmann
andParsons,
1988).
Values of t forwing
and thoraxare
given
in table IV. Forwing
length,
a markedspecies
effect isobserved,
withThese results are illustrated in
figure
3 as a correlation between male and femalet values. In D
simulans,
t values for the two traits can be divided into two groups:high
values(=
higher
heritability)
are observed at mediumtemperatures
(21,
25,
28 °C)
and low values at extremetemperatures
(12,
14,
31 °C).
Means of these two groups are 0.34 ! 0.03 and 0.12 ! 0.02respectively
andstatistically
different(Student’s
test,
notshown).
In Dmelanogaster,
notemperature
effect was observed for thewing,
but a difference betweenhigh
and lowtemperatures
was observed for thethorax,
with ahigher
genetic
variability
athigh
temperatures.
Analysis
of theshape
of reaction norms:slope
variations and derivative curvesWing
and thoraxFor each isofemale
line,
length
variation for agiven
temperature
interval allows the calculation of aslope
(ie,
length
variation perdegree),
by
a linearintrapolation.
Repeating
this process for successive intervalsproduces
anempirical
derivative ofthe reaction norm.
An ANOVA
(not
shown)
was conducted on theslopes
in D simulans. Results were similar forwing
and thorax with a verysignificant
temperature
effect,
demon-strating
nonlinear norms.Contrarily
to Dmelanogaster,
there was nosignificant
sex effect. No line effect wasdetected,
as in thesibling
species.
In the twospecies
aclear
line-temperature
interaction shows that derivative curves have differentshapes
among lines.Finally,
ahighly significant
sex-temperature
interaction ispresent,
which was not found in D
melanogaster.
Average
curves andsingle
line curves aregiven
infigure
4,
forwing
in femalesonly.
In the twospecies,
average curves(fig 4a)
show aprogressive
decrease frompositive
tonegative
values. These values aresignificantly
lower at lowtemperature
in D simulans and notsignificantly
greater
than zero. This means that thepoint
where this derivative curve crosses the nullline,
whichcorresponds
to thetemperature
of maximum size(TMS),
is far less obvious in D simulans than in Dmelanogaster, especially
for the thorax(see
alsofig
1).
This observation is confirmedby
the examination of the curves of different lines(fig 4b).
Indeed in Dsimulans, wing
length
never reached the zero value in twolines,
and for thoraxlength
(not
shown)
theslope
often crossed the null line several times. Hence in Dsimulans,
a TMS can be calculatedby using
the average curves, but not for each isofemale line.Average
curvespoint
TMS values at 13.5 °C forwing
and at 16 °C for thorax in Dsimulans,
and at 16 and 19 °Crespectively
in Dmelanogaster.
In other words TMS values appear to be lower in D simulans than in Dmelanogaster.
For
comparing
the twotraits,
slopes
were standardized andexpressed
as apercentage
of the mean(curves
notshown).
With such a transformation(David
et
al,
1994),
theamplitudes
of variation for the two traits become similar. In Dmelanogaster
the variation range wasgreater:
the overallphenotypic
plasticity
seems to be lesspronounced
in D simulans.Wing/thorax
ratioSlopes
of thewing/thorax
ratio were calculated in the same way and an ANOVA(not shown)
demonstrated amajor
effect oftemperature,
a low sexeffect,
no lineeffect but a
significant line-temperature
interaction.Average
slope
variations are illustrated infigure
4c for females. In the twospecies,
average derivative curves are
U-shaped
indicating
that the maximumphenotypic
plasticity
occurs at intermediatetemperatures,
and also that thewing/thorax
ratio variesaccording
to adecreasing sigmoid
curve(see
fig
2).
Aregular
feature in Dat extreme
temperatures,
zero valuescorrespond
to the fact that the curve of thewing/thorax
ratio was horizontal(see
fig
2).
Moreover,
the overallamplitude
of variation islarger
in D simulans.Analysis
of theshape
of the reaction norms:polynomial
adjustments
Degree
ofpolynomial
adjustments
After a theoretical
study
of linear norms, Gavrilets and Scheiner(1993)
suggested
that nonlinear norms should beadjusted
to seconddegree
polynomials,
according
to the formula
P(t)
=go +
g
l
t
+g
2
t
2
(if
we aredealing
withtemperature,
P(t)
is thephenotype
value attemperature
t).
The authorsproposed
for go, theintercept,
agenetic
significance fixing
a basic value to the studiedtrait,
while gl, theslope,
could be agenetic
parameter
ofadaptation
to theenvironment,
and g2 agenetic
parameter
of curvature. A seconddegree
polynomial
implies
that the derivative curve(ie,
slope
variation)
is linear. Such was not the case for the three traits(see
fig
4),
so that at least a thirddegree adjustment
should be used.Incomplete
polynomials
could also beused,
for instance withno t
2
term. Thevalidity
of the variousadjustments
was assessedby adjusted
R
2
values,
a pooradjustment being
characterized
by
a lowadjusted
R
2
.
A thirddegree
equation
proved
to be convenient for thewing/thorax
ratio. Forwing
and thoraxlengths, considering
the similarshapes
in the twospecies,
weimposed
a constraint on theadjustment,
ie,
the existence of aplausible
TMS calculatedby
solving
theequation
P’(t)
= 0. Forthird and fourth
degrees,
two or three solutions were obtainedrespectively,
which needed to be checked to know which onecorresponded
to the overall maximum.Finally,
for overallhomogeneity,
all thewing
and thorax curves wereadjusted
tofourth
degree
polynomials,
even those which werecompatible
with thirddegree
polynomials.
Also,
similaradjustments
were made with the data of Dmelanogaster
to compare the two
species.
Suchadjustments
were not made in aprevious
paper(David
etal,
1994).
Wing
and thoraxEven with fourth
degree
polynomials,
there were still someinadequate
TMSvalues,
forinstance,
6.3 °C for a malewing.
This often occurred from an abnormal value ata
single
temperature
(=
rearing
accident?)
which modified theadjustment
equation
and thus the TMS. Such casesrepresented
six out of the 40adjustments
made onD
simulans,
butonly
two of them(for
malethorax)
deviated from a reasonablevalue.
Choosing
a fourth powerpolynomial
leads to much moreheterogeneous g
i
parameters
than anadjustment
int
2
.
Forinstance,
for femaleswing
in Dsimulans,
the ten go valuesranged
from 62 to 69 withthe t
2
adjustment,
and from —79 to +93 withthe t
4
adjustment.
A similar conclusion was obtained for all otherparameters.
Fortunately,
calculation of criticalpoints,
such as TMSvalues,
provided
much less variablevalues,
thusconfirming previous
observations on ovariole number(Delpuech
et
al,
1995).
females
(ANOVA,
notshown).
In D simulans anoverlap
of TMSs of the two traits wasobserved,
contrarily
to Dmelanogaster.
Mean values aregiven
in table V andcompared
to those of Dmelanogaster.
In all cases, TMS values aresignificantly
higher
for the latterspecies.
Anotherstriking
species
difference is thelarge dispersal
among lines of D simulans
contrasting
with a betterhomogeneity
in Dmelanogaster
(see
CVs in tableV).
Finally,
in all cases, values of males and females of the same line werepositively
correlated,
suggesting
thatthey
provide,
at least inpart,
the samegenetic
information.As in David et al
(1994),
values of both sexes wereaveraged
for each trait. A scatterplot
ofwing
and thorax TMS values(fig
5)
clearly
contrasted the twospecies.
Interestingly,
apositive
correlation is found in Dmelanogaster
while anon-significant
butnegative
correlation is found for theeight
lines of D simulans(excluding
two lines with aberrant TMS for malethorax).
The between-lineheterogeneity
seems to bemainly
due to thoracic variations.Taking
all values intoconsideration,
average curves were alsoadjusted
to the fourthdegree
and gave TMS values of 13.5 °C(females)
and 12.4 °C(males)
for thewing,
and of 16.1 °C(females)
and 13.2 °C(males)
for the thorax. These valuesare lower than in D
melanogaster
(respectively
15.6 and 14.8 °C forwing,
19.2 and 17.6 °C forthorax).
They
are close to the mean values of the ten linesgiven
in table V and thus characterize thespecies.
Interestingly,
the giparameters
of the average curves were similar to the mean values ofthe g
i
of the ten lines.Wing/thorax
ratioThe gi
parameters
of the thirddegree polynomial
were veryvariable;
CVsranged
between 16.5 and40%
for the four female coefficients(mean
CV =28%)
andbetween 22 and
65%
(mean
CV =46%)
for males. Curves were then characterizedby
theirtemperature
of inflexionpoint
(TIP),
ie,
thetemperature
where the second derivative becomes null.between 19.9 and 22.8 °C
(mean:
21.1 ! 0.3°C)
in females and between 19.9 and 21.3 °C(mean:
20.6 ! 0.2°C)
in males. There was neither line nor sex effect(ANOVA,
notshown).
In D
melanogaster,
the sameadjustments produced
far morevariable g
i
coeffi-cients: mean CV of69%
in females and92%
inmales, ie,
more than twice aslarge
as in D simulans. This also resulted in a muchgreater
dispersal
of the TIP valuesof the different lines
(see
fig
6).
Also the TIPs were on the averagesignificantly
lower(ANOVA,
notshown)
in Dmelanogaster
than in D simulans: 19.0 f 0.9 °C in females and 16.9 t 1.2 °C in males.A final observation was that for a
given
temperature,
the ratio of theDISCUSSION AND CONCLUSION
Our results need to be discussed from two different
points
of view: amethodological
approach
for thedescription
of reaction norms, and thecomparative
evolutionary
biology
of the twosibling
species.
Amajor,
still unsolvedproblem,
will be to decide whichspecies
is betteradapted
to a warmer environment.How should
empirical
reaction norms beinvestigated?
In
Drosophila,
genetic
plasticity
ofquantitative
traits such aswing
and thoraxlength
was firstinvestigated
over two environments(Scheiner
andLyman,
1989,
1991;
Scheiner etal, 1991;
Weber andScheiner,
1992;
Scheiner,
1993a)
and a linear model was used. When a broad range of environmental conditions isused,
as such1994;
Gavrilets andScheiner,
1993)
and this raises amajor
problem:
what is the best way to describe andanalyse
theshape
of the curve? Factors of variation can be identified with ANOVA orMANOVA,
as well as numerous interactions whichdemonstrate,
forexample,
that the normssignificantly
differ among isofemale lines from the samepopulation.
Moreprecise
analyses
are however needed fordescribing
the norms, and two kinds of methods may be used:slope
variations and mathematicaladjustments.
Analysis
ofslope
variations was usedby
David et al(1990)
fordemonstrating
differentpigmentation
norms in successive abdominalsegments.
This method can be ofgeneral
use forcomparing
different traits orspecies,
andsignificant
differencesmay be
easily
demonstrated. Also the overallshape
of the reaction norm may be inferred from theshape
of its derivative. In Dsimulans,
andcontrarily
toD
melanogaster
(David
etal,
1994),
this method was notsatisfactory
(problems
in TMS values
determination)
and theshapes
of the curves had to be studiedby
mathematicaladjustments.
An
adjustment
to a mathematical model should be a better method but numer-ousequations
could be chosen. In thepresent
case there was no apriori
reason forguiding
the choice and thus we used ageneral
method, ie,
apolynomial
adjust-ment,
assuggested by
Gavrilets and Scheiner(1993)
and Via et al(1995).
Because of thegreat
variability
among thepolynomial
coefficients of variouslines,
itap-peared
difficult togive
them agenetic
sense,contrarily
to what has beensuggested
(Gavrilets
andScheiner,
1993).
Theseparameters
are,however, conveniently
used forcalculating
criticalpoints
of the curves,especially
thetemperature
of maximum size(TMS)
forwing
and thoraxlengths
or thetemperature
of inflexionpoint
(TIP)
for thewing/thorax
ratio. Reaction norms appear to be better characterizedby
thesepoints,
which are less variable and seem to have abiological significance,
andpresumably
also agenetic
basis. In thisrespect,
we found that TMS values of malesand females of the same line were
positively
correlated in bothspecies and,
amonglines,
thorax andwing
TMS values were also correlated in Dmelanogaster
(David
et
al,
1994).
Interestingly
in Dmelanogaster, calculating
the TMS values eitherby
considering slope
variations or withpolynomial
adjustments
provided
similar re-sults. In Dsimulans,
fourth powerpolynomials
had to be used instead ofquadratic
ones for a better characterization of TMS values. But even in that case, theadjust-ment could not be
performed
for some isofemale lines. This may reflect either truegenetic peculiarities
of these lines or someexperimental imprecisions.
Thisprob-lem needs further
investigation,
forexample, by analyzing
the same line over twosuccessive
generations.
Similarities between the two
species
Similarities between
closely
relatedspecies
areexpected
because ofphylogenetic
constraints and also from a
possible similarity
of theirecological
niches(Harvey
andPagel,
1991).
In thepresent
study,
numerous similarities wereobserved,
which arebriefly
summarized below.In the two
species
females arelarger
thanmales,
and this could be ageneral
resultis a
phenotypically plastic
trait with minimum values at lowtemperatures
in bothspecies.
Reaction norms of the three characters
(wing
and thoraxlength
andwing/thorax
ratio)
are nonlinear andpresent
the same sources of variation.Wing
and thorax both exhibit a maximum at lowtemperature.
The response of thewing/thorax
ratio totemperature
is asigmoid decreasing
curve, similar for both sexes.In all cases, coefficients of intraclass correlation
(t)
weresignificantly
greater
than zero,
demonstrating
(Hoffmann
andParsons,
1988)
ahigh heritability
of the traits. Moreover aregular line-temperature
interaction indicatessignificant
genetic
variations in the
shapes
of reaction normsamong
isofemale lines.The within-line CVs varied with
temperature
in all cases, with maxima atextreme
temperatures.
This islikely
due to an increase of thedevelopmental
noise under stressful conditions. In bothspecies,
thewing/thorax
ratio is less variable(lower
CVs)
than the traits themselves. This is due to the fact thatwing
and thorax variations are correlated at the individual level.Differences between the two
sibling
species
Numerous and
important
differences were found between the twospecies.
These differences demonstrate that canalizationduring development
is not verystrong
so that the
investigated
traits coulddiverge,
either as a consequence of drift or ofecological adaptation.
As
already
known from numerous observations(see
Capy
etal,
1993)
D simulans is a smallerspecies.
We may argue thatspeciation
wasaccompanied
by
size genevariations,
determining
theposition
of the reaction norms on the Y axis.Sexual
dimorphism presented
different reaction norms in the twospecies.
It is unfortunate that we do not have a convenientevolutionary theory
for sexualdimorphism
inorganisms
likeDrosophila
(Charnov, 1993).
Heritability
of size traits was different in the twospecies,
contrarily
to whatwas found
by Capy
et al(1994)
in a broad survey of numerouspopulations
reared at asingle
temperature
(25
°C).
In ourstudy
of twosympatric
populations,
D
melanogaster appeared
on the average more variable than D simulans. Inboth
species
variations of isofemale line heritabilities were observedaccording
todevelopmental
temperature,
but with differentpatterns
for different traits. These differences are difficult tointerpret,
and many morecomparative
studies should be undertaken.At the within-line
level,
phenotypic variability
exhibits amajor
environmentalcomponent
(Falconer,
1989)
and thus reflects in some way thereactivity
of individu-als to minor variations in culture vials(eg,
food desiccation or larvalcompetition).
Thisreactivity
may be estimatedby
considering
the CVs. D simulansappeared
more variable than D
melanogaster
for thoraxlength
over the wholetemperature
range and for the other two traits at
high
temperatures
only.
These results are somewhatsurprising,
becausephenotypic variability
waspreviously
found to be similar in the twospecies
(Capy
etal,
1994).
Aproblem
remains: are these resultsgeneral
to thespecies
orspecific
to the studiedpopulations?
the left in D simulans. As the thermal ranges are about the same in the two
species
(Cohet
etal,
1980,
and thiswork),
it was more difficult to calculate TMS values in D simuldns. A carefulanalysis
showedthat,
besides thetranslation,
theshapes
of the norms were somewhat different in the twospecies.
Withinspecies,
asignificant
line-temperature
interaction demonstratesgenetic
variations in the curveshapes.
Finally,
theheterogeneity
of TMS values between lines islarger
in D simulans than in Dmelanogaster,
inspite
of a lowergenetic
variability
within eachtemperature
in the formerspecies.
These observations argue in favor of agenetic regulation
ofthe reaction norm
shape.
A last but
major
difference between the twospecies
concerns thewing/thorax
ratio which is much smaller in D simulans andpresents
higher
TIPs.All these differences
support
ageneral
trend: the more the twospecies
arecompared,
the morethey
appear different(see
Capy
etal, 1993,
1994 for discussion andreferences).
Reaction norms and the thermal
adaptation
of the twospecies
Since we
investigated
the effects ofdevelopmental
temperature,
we must ask thequestion:
is onespecies
betteradapted
to a colder or warmer climate?Answering
this
question
isdifficult,
since we haveconflicting
observations.Although
the thermallaboratory
ranges are similar(12-31 °C)
in the twospecies
(Cohet
etal,
1980),
ecological
surveys(Louis, 1983)
have shown that D simulans isgenerally
more abundant than Dmelanogaster
in warmtemperate
andsubtropical
regions,
while it is rare or even absent in coldregions
where Dmelanogaster
is stillpresent.
These observations lead to the classicalinterpretation
that D simulans is less tolerant to cold than Dmelanogaster
(Parsons, 1983).
So our results aresurprising. Indeed,
even if thebiological meaning
of a TMS is notclearly established,
we
expect
that a maximum should be related to someoptimum
(Parker
andMaynard-Smith,
1990;
Gabriel andLynch,
1992;
Stearns,
1992).
Could we suppose,then,
that D simulans is moreadapted
to cold than Dmelanogaster, contrarily
to what was believed up to now, and that reaction norms indicate the direction of
adaptation?
Infact,
thishypothesis
is notunlikely.
Indeed,
from anecological
point
ofview,
Dmelanogaster
enters humanbuildings
where it isprotected
during
winter,
whereas this is not the case for D simulans(Rouault
andDavid,
1982).
So the latter will suffer lowertemperatures
than Dmelanogaster
during
winter,
and hence will be selected for cold tolerance. Two otherarguments support
thishypothesis. Firstly,
in Dmelanogaster,
males reared at 12 or 13 °C aresterile,
whereas this is not the case in D simulans(David,
unpublished
observations).
Secondly,
incompetition experiments
at25 °C,
Dmelanogaster
generally
eliminates Dsimulans,
while the reverse occurs attemperatures
below 20 °C(Tantawy
andSoliman,
1967; Montchamp-Moreau,
1983).
Other observations
suggest
however a reverseinterpretation.
Thewing/thorax
ratio,
which isinversely proportional
towing
loading
andwing
beatfrequency
(P6tavy
etal,
1992,
1996)
decreases withtemperature,
presumably
in relation with a better muscularefficiency
athigher
temperature
(Reed
etal,
1942).
In otherD
melanogaster.
Moreover theTIP,
whichcorresponds
to a maximum ofplasticity,
is
higher
in D simulans. Even if thepossible relationship
between the TIP and theoptimum
flight
temperature
remains to beinvestigated,
this couldsupport
thehypothesis
of a betteradaptation
of D simulans to a warmer environment. Molecular studies at thewithin-population
level have shown that D simulans wasgenerally
morepolymorphic
than Dmelanogaster
(Aquadro
etal, 1988; Begun
andAquadro,
1991;
Aquadro,
1992).
Toexplain
thisobservation,
the former authorssuggested
that thepopulation
effective number ishigher
in Dsimulans,
due to ahigher migration
rate and a betterdispersal capacity.
In thisrespect
the lowerwing/thorax
ratio in D simulans could be more adispersal adaptation
than athermal
adaptation. However,
inspite
of numerous studies(Brodsky, 1994)
we donot know what is the best
strategy
fordispersal, ie, high speed
correlated withhigh
wing
loading
andrelatively
shortflight
duration,
or vice versa.In
conclusion,
the twosibling species
which areincreasingly investigated
as a model forevolutionary
studies,
appear very different when morethoroughly
analyzed,
andinterpretations
are difficult.Concerning
the evolution of reaction norms and theirpossible relationship
with thermaladaptation,
furthercomparative
studies are
needed,
either ongeographic populations
of the twosibling
species
and on otherDrosophila
species
clearly
adapted
to warm or cold climates.ACKNOWLEDGMENT
This work benefited from a grant from the French Minist6re de l’Environnement
(EGPN
committee)
to JR David.REFERENCES
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