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Does host adaptation of Tetranychus urticae populationsin clementine orchards with a Festuca arundinaceacover contribute to a better natural regulation of thispest mite?Ernestina Aguilar-Fenollosa*, Tatiana Pina, María A. Gómez-Martínez, Mónica A. Hurtado& Josep A. JacasDepartament de Ciencies Agraries i del Medi Natural, Universitat Jaume I, Unitat Associada d’Entomologia Agrıcola
Universitat Jaume I (UJI) – Institut Valencia d’Investigacions Agraries (IVIA), Campus del Riu Sec, E-12071, Castello de la
Plana, Spain
Accepted: 21March 2012
Key words: spider mite, host race formation, host-plant adaptation, reciprocal transplant, citrus,
Poaceae, Prostigmata, Tetranychidae, Rutaceae, Acari, microsatellite
Abstract Tetranychus urticaeKoch (Acari: Tetranychidae) is a key pest of clementinemandarins,Citrus clemen-
tinaTanaka (Rutaceae), in Spain. This mite is highly polyphagous and can be easily found in clemen-
tine orchards, both in the trees and in the associated flora. In a previous study we found that the use
of a cover of Festuca arundinacea Schreber (Poaceae) offered a better regulation of T. urticae popula-
tions than either bare soil or the traditional wild cover, which included a mix of weed species. We
hypothesized that the selection of two host races of T. urticae, specialized in F. arundinacea and C.
clementina, could partly explain the results obtained (bottom-up regulation). Reciprocal transplant
experiments show that sympatric deme 9 host combinations had higher mean fitness values than
the allopatric combinations in clementine, but not in F. arundinacea, for most of the fitness parame-
ters evaluated in our study. Because local adaptation implies mean deme fitness to be systematically
higher for the sympatric deme 9 habitat combinations than for the allopatric ones, these results can
be taken as indicative of occurrence of local adaptation in T. urticae. Molecular genetic analyses with
microsatellite markers support this conclusion and indicate that local adaptation of T. urticae found
in our systemmay indeed contribute to a better natural regulation of this mite.
Introduction
Habitat fragmentation in agricultural systems may be a
major determinant of the structure of plant-feeding
arthropod populations (Bailly et al., 2004). Differences in
resource availability as a result of natural or anthropogenic
processes can induce local adaptation and lead to genetic
differentiation between subpopulations if gene flow
between them is sufficiently small (Williams et al., 2003).
Moreover, in some cases, host spatial distribution and
habitat fragmentation are superimposed on plant-feeding
preferences of arthropods, promoting the differentiation
of subpopulations that are more or less connected by
migration (Jaenike, 1990; Berlocher & Feder, 2002). Tetra-
nychus urticae Koch (Acari: Tetranychidae) is a highly
polyphagous mite species (Bolland et al., 1998) that can
easily adapt to novel host plants (Gould, 1979; Fry, 1990;
Navajas, 1998; Agrawal, 2000;Magalhaes et al., 2007; Belli-
ure et al., 2010; Grbic et al., 2011). However, whether this
polyphagy is genuine or the result of coexistence of host-
adapted strains is not clear (Navajas, 1998; Magalhaes
et al., 2007; Belliure et al., 2010).
Host adaptation in the Acari is usually studied by means
of ecological studies using reciprocal transplant experi-
ments and genetic studies using molecular markers (Belli-
ure et al., 2010). In reciprocal transplant experiments the
performance of populations exploiting different hosts is
compared when they are challenged by changing the host.
However, local adaptation as detected in such studies
(Kawecki & Ebert, 2004) is necessary but not sufficient to
establish the occurrence of host races (Magalhaes et al.,*Correspondence: E-mail: [email protected]
© 2012 The Authors Entomologia Experimentalis et Applicata 144: 181–190, 2012
Entomologia Experimentalis et Applicata © 2012 The Netherlands Entomological Society 181
DOI: 10.1111/j.1570-7458.2012.01276.x
2007). Therefore, when possible, these studies need to be
accompanied by population genetic analyses. In the past
few years, microsatellites have become one of the most
popular molecular markers used for detecting population
differentiation (Balloux & Lugon-Moulin, 2002). Several
microsatellite loci have been isolated for T. urticae and
other related mite species (Navajas et al., 1998; Nishimura
et al., 2003; Uesugi & Osakabe, 2007; Abercrombie et al.,
2009; Hinomoto et al., 2010; Sabater-Munoz et al., 2012)
and they have been used for population genetic studies in
tetranychid mites (Bailly et al., 2004; Xie et al., 2006; Car-
bonelle et al., 2007; Li et al., 2009; Uesugi et al., 2009a,b).
Studies using these techniques in mites have been reviewed
byMagalhaes et al. (2007) and Belliure et al. (2010). These
authors concluded that host races are relatively frequent in
the Acari. Several studies have shown that adaptation can
occur after few generations of selection only (Fry, 1990;
Gotoh et al., 1993; Agrawal, 2000), and there may be no
costs associated with adapting to the newly acquired host
(Fry, 1990; Agrawal, 2000; Magalhaes et al., 2009).
In previous studies (Aguilar-Fenollosa et al., 2011a,b)
we reported the effects of cover crop management on the
dynamics of T. urticae populations in clementine manda-
rin [Citrus clementinaTanaka (Rutaceae)] orchards, where
this species is a key pest (Jacas & Urbaneja, 2010).We pro-
vided evidence that ground cover management could have
dramatic effects on the populations of tetranychid mites
on the trees. Both natural enemies (top-down effects) and
resources (bottom-up effects) played important regulatory
roles (Aguilar-Fenollosa et al., 2011a,b). In short, a mono-
specific cover of Festuca arundinacea Schreber (Poaceae)
led to better population regulation of T. urticae in the trees
than bare soil or the traditional wild cover, which included
a mix of weed species (Aguilar-Fenollosa et al., 2011c).
We offered several hypotheses to explain this result. On
the one hand, the wild cover provided a year-round provi-
sion of alternative food, i.e., pollen that could have favored
omnivorous phytoseiid populations at the expense of T.
urticae-specialist phytoseiid populations (Aguilar-Fenol-
losa et al., 2011b; Pina et al., 2012). On the other hand,
the wild cover provided different hosts that were probably
exploited by T. urticae over the course of several genera-
tions within a single growing season, thereby deterring
host specialization. Instead the mono-specific cover could
have promoted host specialization. Provided that gene
flow of T. urticae populations between cover and clemen-
tine trees was limited, F. arundinacea could have induced
local host adaptation, resulting in selection of a host-spe-
cific strain of T. urticae unable to satisfactorily colonize
and/or exploit the trees.
In this study, we aim at testing whether or not the
replacement of a highly diverse seasonal wild cover by a
mono-specific perennial F. arundinacea exerted a strong
pressure on T. urticae populations in our agroecosystem
and induced the formation of a host strain. By means of
reciprocal transplant experiments combined with genetic
studies using microsatellite markers, we test whether or
not T. urticae demes collected from C. clementina and F.
arundinacea are locally adapted. If that were the case, this
phenomenon could at least partly explain why a better
control ofT. urticae in trees was achieved when F. arundin-
acea was used as a cover compared to other ground man-
agement strategies.
Materials and methods
Stock cultures
Young clementine (C. clementina cv. Clementina de Nules
grafted on citrange Carrizo rootstock) and F. arundinacea
(‘Cesped Todoterreno Formula Chalet’ of Fito Semillas,
Spain) plants were used in our assays. No insecticides or
acaricides were applied to these plants. They were main-
tained in a greenhouse at 25 ± 10 °C, 75 ± 30% r.h.,
under natural photoperiod at Universitat Jaume I, Castello
de la Plana, Spain (39°59′38″N, 0°03′59″W; 30 m
altitude).
Several hundred T. urticae specimens were originally
collected from naturally infested clementine trees in Les
Alqueries (Castello, Spain; 39°54′34″N, 0°06′55″W; 40 m
altitude) and F. arundinacea plants in Montcada (Valen-
cia, Spain; 39°35′20″N, 0°23′30″W; 37 m altitude), a suffi-
ciently small area to control for potential geographic
differentiation (Hurtado et al., 2008). These populations
were reared in a climatic chamber (25 °C, L12:D12 photo-period) on non-infested and fully expanded detached
leaves of their respective original hosts. Leaves were placed
upside down on top of sponges covered with cotton in
water-containing trays (14 9 14 9 7 cm) that served
both as a water source for leaves and mites and as a barrier
against mite dispersal. The two populations were reared
for about 6 months before the onset of the experiments.
As T. urticae generation time takes about 13 days (Aucejo-
Romero et al., 2004), both populations had been reared
for a minimum of 14 generations on these hosts under
controlled conditions prior to the beginning of the assays.
Reciprocal transplant experiments
The performance of both populations of T. urticae was
tested on clementine and on F. arundinacea leaves. Mites
were directly taken from the rearings, hence maternal
effects pertain to their respective host plant. All experi-
ments were performed on non-infested and fully expanded
detached leaves obtained from the same stock culture of
plants used for the rearing. Detached leaves were placed
182 Aguilar-Fenollosa et al.
upside down as previously described. In this case,
although, leaf margins were covered with insect glue (Tree
Tanglefoot®; Grand Rapids, MI, USA) as a barrier. Few
days prior to the start of the experiments, several hundred
ovipositing females were haphazardly taken from the rear-
ing units and transferred to detached leaves for 24 h.
Afterwards, females were removed. Leaves containing eggs
less than 24 h old were held separately in a climatic cham-
ber (25 °C, L12:D12 photoperiod). When attaining the
adult stage, immediately after the quiescent teleiochrysalis
stage, less than 24 h old presumably mated females were
selected and moved in groups of five onto a detached leaf
with a male obtained from the same cohort. These leaves
were checked 3 9 per week and eggs and juvenile speci-
mens were counted (when attaining the adult stage, speci-
mens were sexed and removed from the set-up) until the
original females died. The experiment was repeated 3 9
starting in September 2010 and finishing in December
2010. Six replicates (= detached leaves) per population,
host, and experiment were considered. Assuming the
exponential growth population model, we calculated the
instantaneous rate of increase (ri), as defined by Hall
(1964) and Walthall & Stark (1997). This rate measures
population increase (or decrease) after a short period of
observation and is calculated according to the following
equation:
ri ¼ lnðNf=N0Þ=Dt;where Nf is the final number of individuals (i.e., eggs, juve-
niles plus adults), No is the initial number of total individ-
uals, and Dt refers to the number of days the experiment is
run. The instantaneous rate of increase was calculated
5 days after females started oviposition because at this
moment we observed the population growth to be expo-
nential.
Statistical analysis
Peak oviposition rate, instantaneous rate of increase, sex
ratio, females per female ratio, and longevity of both T.
urticae demes on each host were compared with ANO-
VA (a = 0.05). Patterns of deme 9 host interaction for
all these parameters were taken as indicative of fitness
and were considered as diagnostic of local adaptation.
Two criteria, proposed by Kawecki & Ebert (2004), were
considered to establish the existence of local adaptation.
The first criterion was ‘local vs. foreign’, which empha-
sizes the comparison between demes within habitats: on
each host the local deme is expected to show higher fit-
ness (sympatric combination) than demes from other
hosts (allopatric combination). The ‘home vs. away’ cri-
terion emphasizes the comparison of demes’ fitness
across habitats: local adaptation occurs if each deme has
a higher fitness on its own host (at home) than on the
other host (away).
Data were further fitted to amixed-effect logistic growth
populationmodel (Pinheiro & Bates, 2000) defined as:
N ¼ K=f1þ exp½ðtk=2 � tÞ=r�g;where N is the total number of individuals (eggs, juveniles,
plus adults), t is the time since the start of the experiment
(days), K is the carrying capacity (i.e., the horizontal
asymptote as t ? ∞, representing the maximum average
population size that the environment can support; Speight
et al., 2008), tK/2 is the value of t for which the total num-
ber of individuals is K/2, and r is a growth rate, which cor-
responds with the slope of the line during the exponential
growth phase. The nonlinear least squares estimates of the
parameters (K, tK/2, and r) and their 95% confidence inter-
vals on the logistic model were estimated by means of a
Gauss-Newton algorithm. We considered time, t, as a ran-
dom effect and the parameters of the logistic model as
fixed effects.
The software ‘R’ version 2.9.2 (R Development Core
Team, 2009) and its package ‘nlme’ version 3.1–97 (Pin-
heiro et al., 2010) were used to fit the nonlinear mixed-
effect models. ANOVA tests were performed using IBM®
SPSS® statistics, version 19.0.0 (SPSS & IBM, 2010).
Microsatellite analysis
Seven microsatellite loci isolated by Uesugi & Osakabe
(2007) and Nishimura et al. (2003) labeled forward with
6-FAM fluorescent dye (Table 1) were used in a Multiplex
PCR (Henegariu et al., 1997) to determine the genetic
structure of the two demes (clementine and F. arundina-
cea) included in this study. Fifty individuals from each
deme were collected at four different times: (1) when stock
colonies were established from field-collected specimens
in March 2010; (2) 3 months later from the laboratory
stock colonies; (3) 1 year later from the same stock colo-
nies; and (4) in September 2011, when we looked for mites
in the same locations where they had been collected origi-
nally. Unfortunately, at this time T. urticae was found in
clementine, but not in F. arundinacea. For the first sam-
pling date, mites were extracted from leaf samples using
Berlese funnels, collected in absolute ethanol, and stored at
room temperature until processing. In subsequent analy-
ses, mites directly collected from the sample were individ-
ually introduced into a 1.5-ml microcentrifuge tube and
kept at �80 °C until processing. In all cases, genomic
DNA was prepared by crushing individual mites with a
plastic pestle in a 1.5-ml microcentrifuge tube using a salt-
ing-out protocol (Sunnucks & Hales, 1996). We used 1 llof this solution as the Multiplex PCR template. Each
PCR reaction was performed in a total volume of 20 ll
Local adaptation in Tetranychus urticae in citrus orchards 183
containing 2 ll PCR 109 buffer supplied by the manufac-
turer, 1 ll MgCl2 (50 mM), 2 ll dNTPs (2 mM), 0.075 llforward, 0.075 ll 6-FAM forward, and 0.15 ll reverse forprimers TuCT73 and TuCT04 (10 lM), 0.1 ll forward,0.1 ll 6-FAM forward, and 0.2 ll of reverse for primers
TuCA25 and TuCA12 (10 lM), 0.125 ll of forward,
0.125 ll of 6-FAM forward, and 0.25 ll of reverse for
primers TuCA83, TkMS015, and TuCT18 (10 lM),0.75 ll of Taq 1 U ll�1 (Biotools B&M Labs, Madrid,
Spain), and 8.35 ll ultrapure H2O. PCR amplifications
were performed using a PTC-200 thermal cycler (MJ
Research, Bio-Rad, Hercules, CA, USA). After an initial
denaturation step at 95 °C for 2 min, 35 cycles were car-
ried out consisting of 30 s denaturation at 95 °C, 1 min at
55 °C of annealing temperature, and 1 min 30 s extension
at 72 °C, followed by a last cycle at 60 °C for 30 min and a
hold step at 4 °C. Fragment sizes were analyzed in an ABI/
PE 3130 GeneAnalyzer (Applied Biosystems, Foster City,
CA, USA). Genotyping was performed using Peak Scan-
nerTM Software version 1.0 (Applied Biosystems, 2006).
Microsatellite data analysis
We inferred population structure by clustering with the
software STRUCTURE version 2.0 (Pritchard et al., 2000)
for multilocus analysis incorporating all seven loci scored.
Iteration parameters were set to a burn-in period of
100 000 iterations followed by 1 000 000 iterations and 10
independent simulation runs. This program performs a
Bayesian analysis to assign individuals to a predefined
number of clusters on the basis of probabilistic analysis of
the multilocus genotypes. The ad hoc statistic ΔK, basedon the rate of change in the log probability of data between
successive K-values, was evaluated to determine the
optimal K value (true number of genetic clusters) (Evanno
et al., 2005).
Results
Sex ratio was the only parameter indicative of fitness
included in this study that was the same irrespective of the
deme 9 host combination considered (P>0.05). Deme
and deme * host interaction were significant in all other
parameters considered (peak oviposition rate, instanta-
neous rate of increase, and females per female ratio). For
these parameters, the sympatric deme9 host combination
had higher mean fitness values than the allopatric combi-
nation in clementine, but showed no significant differ-
ences in F. arundinacea. Only in the case of longevity,
deme, host, and deme * host were significant (Figure 1,
Table 2). In this case the sympatric deme9 host combina-
tion had always higher mean fitness values than the
allopatric combination.
When fitting our results to a nonlinear mixed-effect
model, we first used the entire data set. However, the vari-
ability of the residuals increased with fitted values (supple-
mentary online material). The wedge-shaped pattern
observed was due to the correlation among observations
in the same host and not to heteroscedastic error. We
obtained a better understanding of the problem by looking
at the plot of the residuals by host. Residuals were mostly
negative for the T. urticae population collected on F. arun-
dinaceawhen tested on F. arundinacea and mostly positive
for the T. urticae population collected on clementine
and tested on clementine. This finding highlighted the
strong effect of the host in the model. For this reason, we
decided to take into account this effect by fitting different
Table 1 Locus-specific primers and reaction conditions for microsatellites used in this study
Locus Motif Primer (5′–3′) Size (bp) No. alleles
TuCA12 CA GAT TTG TGG TCGTGG TTT TC 276 3
GATCAACTCAAAAGGATAACG TTG
TuCA25 TC AATGTGTTGGTTGTTTACGAAGTG 164 5
TTGGTCAAAGCCGGT TAC AG
TuCA83 GT CAGGGTGAAACT TAGATACC 205 4
CAA TTT TCCCTC TACATC TC
TuCT04 CT CGTCATCAT TGCCGTCAT TTT AC 149 2
GGAGCCGTT TCAAGAGAGTG
TuCT18 CT CTTGATGCTAGTGATACAACG 296 3
CAAGGTGATGAT TTGATT TAAAG
TuCT73 CA CGA TGTGGGTGGTAAGCA TG 111 2
ACGATGATA TTGATGATGAGCG
TkMS015 TC GATGGA TCAACA TTGAACAGATT 210–268 4
TCC TACACT TGACATAAAATCAA
Annealing temperature: 55 °C.
184 Aguilar-Fenollosa et al.
parameters for each host (Table 3), which resulted in dif-
ferent nonlinear models (Figure 2). As a consequence of
this change, the boxplots of the residuals by host no longer
indicated the host effect observed before (supplementary
online material). When comparing the fitted values of the
logistic models by comparing the overlap of the corre-
sponding 95% confidence intervals, the carrying capacity
(K) was the only parameter that did not overlap (Table 3).
On clementine it was 198.75 ± 7.77 (mean ± SE) for the
population collected on clementine, whereas it was
100.04 ± 5.83 for the population collected on F. arundina-
cea. Similarly, K on F. arundinaceawas lower for the popu-
lation collected on F. arundinacea than for the population
collected on clementine (73.72 ± 5.62 and 111.51 ± 5.74,
respectively).
Mites extracted using Berlese funnels in the first sam-
pling and kept in absolute ethanol failed to satisfactorily
amplify DNA and therefore could not be included in
our genetic analyses. The remaining samples, 216 indi-
viduals, could be successfully amplified and when results
were subjected to analysis of the seven microsatellite loci
considered, the optimal number of genetic clusters (i.e.,
the K-value) was two (Figure 3). These two clusters
corresponded to the two demes considered in this study.
Deme 1 included the two laboratory populations initially
collected in clementine trees plus the field population
collected more than 1 year later at the same location.
Deme 2 included the two laboratory populations origi-
nally collected in F. arundinacea.
Discussion
Reciprocal transplant experiments have some drawbacks
(Groot et al., 2005): (1) Effects of the acclimation period.
0
1
2
3
4
5
6
7
8
9
Pea
k ov
ipos
ition
rat
e
F. arundinaceaClementine F. arundinaceaClementine0.0
0.1
0.2
0.3
0.4
0.5
0.6
Inst
anta
neou
s ra
te o
f inc
reas
eF. arundinaceaClementine
0
5
10
15
20
25
No.
fem
ales
per
fem
ale
F. arundinaceaClementine0
5
10
15
20
25
30
Long
evity
A B
C D
Figure 1 (A)Mean (± SE) peak rate of oviposition (no. eggs per female per day), (B) instantaneous rate of increase (per day), (C) rate of
females per female, and (D) longevity (days) for Tetranychus urticae on clementine and Festuca arundinacea. Tetranychus urticae collected
from clementine (black dots) or F. arundinacea (white dots).
Table 2 Statistical significance of the vari-
ous parameters considered based on two-
way ANOVA
Peak
oviposition ri Sex ratio
Females per
female Longevity
Deme F 5.44 3.30 0.76 13.05 12.89
P 0.023 0.074 0.292 <0.001 <0.001Host F 3.08 1.02 1.13 0.12 17.17
P 0.084 0.317 0.388 0.729 <0.001Interaction F 4.17 4.40 7.23 15.15 6.04
P 0.045 0.040 0.092 <0.001 0.015
d.f. = 1,66 in all cases, except for longevity: d.f. = 1,238.
Local adaptation in Tetranychus urticae in citrus orchards 185
Transplanted mites can sometimes perform worse in a
new host because adjustment to a new host plant is costly
in terms of energy and time. This has been observed in T.
urticae (Agrawal et al., 2002). Had this been the case in
our experiment, we would have observed mite perfor-
mance on the novel host plant to go up after an initial
acclimation period (Groot et al., 2005). However, such a
response was not seen during the 20-day period that our
experiments lasted (Figure 2); (2) Effects of selection to
laboratory conditions. If laboratory growth conditions
had modeled the demes used in our assays, changes in
allele frequency over time should have been found. How-
ever, molecular analyses of the populations used in our
assays show that the allele frequency of the seven loci
included in our study did not change for any stock colony.
Interestingly, in the case of the clementine deme, these fre-
quencies were found again in the populations collected at
the original location where this deme had been collected
more than 1 year before. This is highly indicative of the
stability of the system; and (3) Maternal effects. To elimi-
nate differences in possible maternal effects in our experi-
ments, mites were taken directly from the corresponding
rearing. Hence, maternal effects pertained to their respec-
tive host plant.
Species with limited dispersal capabilities are affected
themost by the genetic and demographic impact of habitat
fragmentation (Bailly et al., 2004). The abilities of poly-
phagous pest species, such as T. urticae, to move around
and utilize different habitat patches in response to changes
in suitability enable them to exploit unstable cropping sys-
tems (Kennedy & Storer, 2000). Therefore, dispersal
behavior, even if it is not correlated with reproductive
traits, may increase mite fitness in temporally and spatially
fluctuating environments (Li & Margolies, 1994). Spider
mites display active dispersion behavior by crawling and
by taking off with the air currents. Usually, dispersal of
mites is restricted to relatively short distances, although
aerial long-distance dispersal can occur (Kennedy & Smit-
ley, 1985).Margolies (1995) provided evidence of selection
Clementine
0
50
100
150
200
250
0 5 10 15 20Time (days)
Time (days)
No.
indi
vidu
als
No.
indi
vidu
als
F. arundinacea
0
50
100
150
200
250
0 5 10 15 20
Figure 2 Mean (± SE) size ofTetranychus urticae populations(total number of all developmental stages) on clementine and
Festuca arundinacea, and their best fitting logistic growthmodels.
Tetranychus urticae originated from clementine (black triangles,
drawn line) or F. arundinacea (white squares, dashed line).
Table 3 Estimated values and 95% confidence intervals (CI) for the logistic model parameters (K, tk/2, and r) of Tetranychus urticae on
clementine and Festuca arundinacea
On clementine On F. arundinacea
Original host Estimated 95%CI t1 P Estimated 95%CI t1 P
K (no. T. urticae individuals)
Clementine 198.75 183.50–213.99 25.60 <0.001 111.51 100.24–122.79 19.42 <0.001F. arundinacea 100.04 88.59–111.49 17.15 <0.001 73.72 62.72–84.72 13.16 <0.001
tk/2 (days)
Clementine 7.01 6.26–7.77 18.25 <0.001 5.13 4.33–5.93 12.60 <0.001F. arundinacea 5.29 4.24–6.33 9.98 <0.001 4.96 3.69–6.24 7.65 <0.001
r (day�1)
Clementine 2.12 1.48–2.75 6.50 <0.001 1.29 0.56–2.01 3.49 0.015
F. arundinacea 1.51 0.63–2.38 3.38 <0.001 1.39 0.28–2.48 2.46 0.013
1Student’s t-test value.
186 Aguilar-Fenollosa et al.
on spider mite dispersal rates in relation to habitat persis-
tence in agroecosystems with intra-specific genetic varia-
tion in this trait being maintained by heterogeneous
environments in time and space (Roff, 1975).
Evergreen citrus orchards cannot be considered an
unstable habitat, especially when in association with a per-
manent mono-specific cover crop such as F. arundinacea.
The main cause of instability in commercial citrus orch-
ards is probably pesticide application. After a treatment,
selection should favor resistant specimens staying in the
treated patch – where intraspecific competition initially
will be low –, thus avoiding the risks associated with dis-
persal to a new habitat. The use of economic thresholds
(ET) in commercial orchards should also favor stability.
As crowding increases habitat degradation, population
build-up to damaging levels in orchards could contribute
to increased dispersal behavior in mites (Margolies & Ken-
nedy, 1985). However, the use of ET does not allow mites
to reach high populations in commercial citrus orchards.
In the case of clementines, the economic threshold is espe-
cially low (7% of a random sample of the outer leaves
occupied by at least one adult mite; Martınez-Ferrer et al.,
2006), as commonly found in pests of cosmetic impor-
tance (Hare, 1994). As a result, one would expect mites in
our citrus system not to be selected for increased dispersal
capacities and therefore to preferentially mate with neigh-
bors. Indeed, field studies carried out in Greece demon-
strated that T. urticae populations from lemon trees
collected in orchards in various locations were genetically
closer than those collected on 11 additional hosts at the
same locations only 150 m apart from each other (Tsag-
karakou et al., 1998). This limited dispersion characteristic
of T. urticae in combination with pesticide treatments may
explain the results found in our study.
Clementine trees and F. arundinacea in citrus orchards
are often infested by T. urticae (Aguilar-Fenollosa et al.,
2011a). According to Fry (1996), adaptation to one host
results in relatively poor performance on alternative hosts
due to the antagonistic pleiotropic action of one or more
genes. As a consequence, no genotype has maximal fitness
on different hosts and natural selection will promote host
specialization (Fry, 1996; Agrawal, 2000). For most of the
fitness parameters used in our study, the sympatric
deme 9 host combinations had higher mean fitness val-
ues than the allopatric combinations in clementine and
showed no differences in F. arundinacea. Therefore, our
system complied with the ‘home vs. away’ criterion in all
cases. The ‘local vs. foreign’ criterion (Kawecki & Ebert,
2004) was fully complied with longevity. However, the
other parameters studied did not satisfy this criterion as
both demes performed equally on F. arundinacea. In gen-
eral statistical terms, local adaptation implies mean deme
fitness to be systematically higher for the sympatric
deme 9 habitat combinations than for the allopatric
ones, therefore these results can be taken as indicative but
not conclusive of the occurrence of local adaptation in T.
urticae. Our genetic analysis with molecular markers
performed on the various populations supports this
conclusion.
Opposite to the results of Fry (1990), Agrawal (2000),
and Magalhaes et al. (2009), we found adaptation to be
costly in T. urticae. The clementine deme clearly showed
loss of fitness when reared on F. arundinacea. However,
the F. arundinacea deme only proved to lose fitness (i.e.,
lived shorter) when reared on clementine (Figure 1D,
Table 2). The differences observed in the carrying capacity
of clementine and F. arundinacea, which were significant
for host and deme (Table 3), point at the different inher-
ent profitability of these plants and also at the different
ability of themite demes to exploit them.
Based on our results it could be predicted that after
selection of a F. arundinacea-specialist race in the ground
cover, co-existence of both clementine and F. arundinacea
demes in the same orchard will be difficult. After all, the
clementine deme is expected to eventually outcompete the
F. arundinacea deme, because the former performs better
on clementine, whereas the two demes perform equally
well on F. arundinacea. Still, when F. arundinacea is used
as a cover, high populations of T. urticae in the cover do
not result in heavy infestations in the tree (Aguilar-Fenol-
losa et al., 2011a). This suggests that there are additional
factors at play that are key to maintaining the F. arundina-
cea population in the cover under natural conditions in
the citrus agroecosystem. Firstly, even if dispersal rates are
low in our system, the occurrence of different migration
rates up and down the trees could explain our results. In
an ongoing study where we are monitoring mite dynamics
in clementine trees associated with a F. arundinacea cover
0
1000
2000
3000
4000
5000
6000
7000
1 2 3 4 5 6 7K
*
K
Figure 3 Graphical method described by Evanno et al. (2005)
allowing the detection of the true number of groups K. The
modal value of this distribution is the true K (*) or theuppermost level of structure, here two clusters.
Local adaptation in Tetranychus urticae in citrus orchards 187
using sticky bands on tree trunks, we have actually
observed rates of T. urticae migration from the cover into
the trees to be much higher than those of mites moving
from the canopy to the cover. This differential migration
rate might be related to the nature of the host plant (herba-
ceous vs. woody) and a similar phenomenon has earlier
been observed in apple orchards (Hardman et al., 2011).
However, the existence of alternative dispersal mecha-
nisms, such as aerial or gravity-driven drop, could com-
pensate the differential ambulatory migration rates
observed.
Another factor that could explain our results is related
to prey choice by omnivorous predators like phytoseiids,
the most abundant entomophagous group in our system
(Abad-Moyano et al., 2009; Aguilar-Fenollosa et al.,
2011b). Because all phytophagous arthropods derive their
nutrition from plants, entomophagous arthropods feeding
on them indirectly obtain their nutrition from plants
(Bottrell et al., 1998). In fact, plant-feeding omnivores
consume more herbivores on host plants of low quality
than on high-quality plants (Agrawal et al., 1999; Agrawal
& Klein, 2000). Most Phytoseiidae present in citrus agro-
ecosystem are omnivores (McMurtry & Croft, 1997), and
F. arundinacea is clearly a poorer host than clementine for
T. urticae (Table 3).Therefore, a higher predation exerted
by phytoseiid mites living in the F. arundinacea cover
against the clementine-fed deme relative to F. arundina-
cea-fed deme may also explain our results. A better under-
standing of the plant/pest/natural enemy complex is
necessary to ascertain whether this factor could contribute
to the coexistence of both populations in citrus orchards
and additional research is needed.
Finally, it should not be forgotten that T. urticae pop-
ulations occurring in the tree canopy in commercial
orchards are subjected to pesticide treatments, which if
properly applied, should only marginally affect mites
inhabiting the cover. These differential mortality rates in
the canopy and in the cover could contribute to the
results observed.
To sum up, the patterns of local adaptation detected in
our study may contribute to the successful biological con-
trol of T. urticae observed when using F. arundinacea as a
cover crop in citrus. This adaptation could be the key for
bottom-up mechanisms preventing successful settlement
of cover inhabitingmites in the tree canopy.
Acknowledgements
We are grateful to M. Montserrat (CSIC, Malaga, Spain)
and A. Urbaneja (IVIA, Valencia, Spain) for their helpful
comments on an earlier version of this manuscript, and to
M.V Ibanez-Gual (UJI) for her statistical advice. E.A.F.
was recipient of a predoctoral grant from Universitat
Jaume I. This work was partly funded by the Spanish
Ministerio de Ciencia e Innovacion (AGL2008-05287-
C04/AGR and AGL2011-30538-C03-01).
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Supporting Information
Additional Supporting Information may be found in the
online version of this article:
Figure S1. (A) Residuals vs. fitted values of the nonlin-
ear mixed-effect model when considering the entire data
set. (B) Boxplots of residuals by population-host of the
logistic growth population model fitted when considering
the entire data set. And (C) idem when considering sepa-
rate data sets (FF is Tetranychus urticae collected from
Festuca arundinacea tested on F. arundinacea, FC is
T. urticae collected from F. arundinacea tested on clemen-
tine, CF is T. urticae collected from clementine tested on
F. arundinacea, and CC is T. urticae collected from clem-
entine tested on clementine).
Please note: Wiley-Blackwell are not responsible for the
content or functionality of any supporting materials sup-
plied by the authors. Any queries (other than missing
material) should be directed to the corresponding author
for the article.
190 Aguilar-Fenollosa et al.