Are water vole resistant to anticoagulant rodenticides following field treatments
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Transcript of Are water vole resistant to anticoagulant rodenticides following field treatments
Are water vole resistant to anticoagulant rodenticides followingfield treatments?
Julie Vein • Agnes Grandemange •
Jean-Francois Cosson • Etienne Benoit •
Philippe J. Berny
Accepted: 3 May 2011
� Springer Science+Business Media, LLC 2011
Abstract The anti-vitamin Ks (AVKs) are widely used
to control rodent populations. They inhibit Vitamin K
regeneration by the Vitamin K Epoxide Reductase (VKOR)
and cause a fatal hemorrhagic syndrome. Because of
repeated use, some populations of commensal rodents have
expressed resistance to these compounds. In Franche-
Comte (France), the water vole exhibits cyclic population
outbreaks. A second generation AVK, bromadiolone, has
been used for the last 20 years to control vole populations.
The aim of this study is to determine whether these repe-
ated treatments could have led to the development of
resistance to AVKs in water vole populations. We con-
ducted enzymatic and genetic studies on water voles trap-
ped in treated and non treated plot. The results indicate that
voles from the most heavily treated area exhibit enzymatic
changes in VKOR activity hence arguing for resistance to
AVKs and that an intronic haplotype on the vkorc1 gene
seems to be associated with these enzymatic changes.
Keywords Anticoagulant resistance � VKOR � Arvicola
terrestris scherman � Enzymology � vkorc1 gene
Introduction
The fossorial water vole (Arvicola terrestris scherman) is a
field rodent, which lives in the permanent grassland of
medium-altitude mountains between 400 and 1200 m. In
France it can be found in the Jura Mountains but also in the
Pre-Alps and in the Massif Central. It digs burrows formed
by a complex network of galleries, nests and storage cav-
ities. The earth from the burrows is pushed outside the
galleries and forms tumuli which are signs of its presence
in a field. This vole exhibits cyclic population outbreaks at
a regional scale in the Jura Mountains. Every 6 years a
wave of high population density (200–1000 ind/ha) spreads
from the medium-altitude plateau to the higher plateaus
and valleys at a speed faster than 10 km per year. High
densities are maintained locally for 1–3 years (Giraudoux
et al. 1997). During these high-density periods, grass pro-
duction is critically impaired (up 2–3 tons of fodder/ha)
and also damaged qualitatively (presence of earth in fodder
for example). Moreover, these outbreaks are a public health
issue because the water vole is one of the intermediate
hosts of Echinococcus multilocularis, the agent of a lethal
parasitic zoonose. It has been proved that the distribution
pattern of alveolar echinococcosis is related to the popu-
lation levels of the water vole and the common vole
(Microtus arvalis) in France (Houin et al. 1982; Rausch
1995; Raoul et al. 2003; Viel et al. 1999).
Consequently, a policy for the control of water vole
populations has been developed at the end of the 70s.
Different possibilities were explored: physical control by
trapping, chemical control with bromadiolone and more
recently, biological control with predators. The physical
and biological methods are insufficient alone and, more-
over, trapping is too much time consuming. So the
collective control is based on bromadiolone baits, a
J. Vein � A. Grandemange � E. Benoit � P. J. Berny (&)
UMR 1233 INRA, VetAgro Sup, VetAgro Sup Campus
Veterinaire de Lyon 1 Avenue Bourgelat, 69280 Marcy L’Etoile,
France
e-mail: [email protected]
J.-F. Cosson
INRA-EFPA, UMR Centre de Biologie et de Gestion des
Populations (INRA/IRD/Cirad/Montpellier SupAgro),
Campus International de Baillarguet, CS 30016, 34988
Montferrier-sur-Lez cedex, France
123
Ecotoxicology
DOI 10.1007/s10646-011-0700-7
second-generation anticoagulant rodenticide. First applied
were carrot-baits until 1998 then replaced by wheat-baits to
reduce the bromadiolone quantity in the environment
(Truchetet et al. 2005; Giraudoux et al. 2006). However,
massive mortalities of non-target fauna, especially preda-
tors’ species such as the red fox (Vulpes vulpes) or the
common buzzard (Buteo buteo), due to secondary poison-
ing were reported after large-scale field treatment with both
types of bait (Berny et al. 1997; Raoul et al. 2003). Fur-
thermore, a recent study has proved that the bromadiolone
is more persistent in wheat baits than estimated originally.
So it could be at the origin of secondary poisoning several
months after treatment (Sage et al. 2007).
The anti-vitamin K rodenticides (AVK) have been
widely used for rodent populations control since the 50s.
These compounds are inhibitors of the Vitamin K cycle and
so prevent the c-carboxylation of Vitamin K-dependent
clotting factors II, VII, IX and X (Fig. 1). AVKs are non
competitive inhibitors of the Vitamin K Epoxide Reductase
(VKOR) which enables the Vitamin K recycling from
the Vitamin K epoxide (Vitamin K [ O). Because of the
inhibition, the clotting factors are not activated and thus the
AVKs provoke lethal bleeding (Sadler 2004). Moreover,
the massive use of first generation AVKs is known to select
resistance in commensal rodent populations. In brief,
resistance towards Warfarin (the first AVK used) was first
discovered in Scotland in a Norway rat (Rattus norvegicus)
population (Boyle 1960) and it was rapidly proved in
domestic mouse (Mus musculus domesticus) and in roof rat
(Rattus rattus) populations (for a review see Pelz et al.
2005). After that, second generation AVK rodenticides,
such as bromadiolone, were developed, but resistant pop-
ulations to these compounds were quickly selected.
Resistance to AVKs in commensal rodent populations is
nowadays documented in most of the European countries,
North America, Asia and Australia (Pelz et al. 2005; Ish-
izuka et al. 2008). First researches on resistance were about
the transmission mechanism through a rodent population
and it has been established that resistance to Warfarin in
rats is due to a single autosomal gene on chromosome 1
(Greaves and Ayres 1967; Kohn and Pelz 1999). Finally, in
2004, the gene encoding one of the subunit of the VKOR
enzymatic complex (vkorc1) has been cloned and
sequenced in human and rat (Rost et al. 2004; Li et al.
2004). Nevertheless, other mechanisms probably metabo-
lism based resistance are described or suspected (Ishizuka
et al. 2008; Markussen et al. 2008).
The study of Lasseur et al. (2005) on a strain of resistant
Norway rat has shown that AVKs remain non competitive
inhibitors of the VKOR but with a highly increased Ki
(inhibitory constant) and that this resistant strain has a
reduced VKOR activity in comparison to a wild-type
strain.
Our study was designed to determine if the use of bro-
madiolone for more than 20 years in Franche-Comte led to
the development of resistance to AVKs in the water vole
population. First we compared the enzymatic and inhibition
parameters of VKOR in water vole originated from three
areas with different treatment patterns, then we tried to
identify and sequence the water vole vkorc1 gene and
finally we looked for potential mutations on this gene that
could potentially be related to the enzymatic results.
Materials and methods
Animal sampling
Three trapping areas were chosen: a control plot, without
bromadiolone treatment for the last 20 years, in By (Doubs
French department); and two regularly treated fields in
Vescles (Jura) and Morteau (Doubs). The bromadiolone
treatment was performed in the Vescles plot in spring 2002,
April and December 2003, November 2004, February 2005
and April 2006 and in the Morteau plot in October 2003,
July, August and October 2005 and May 2006.
As the enzymatic analyses require trapping live animals,
Scherman� cage-traps were used. Then the voles were
humanely killed just before freezing at -20�C at Franche-
Comte University. They were later transported in an icebox
to the Veterinary College of Lyon (ENVL) and then frozen
at -80�C. The sampling sessions were performed on 18
and 19th October 2006 in Morteau, 24 and 25th October
2006 in Vescles and 1st November 2006 in By. Each vole
was identified by a unique number.
For RNA isolation, five voles were trapped in another
non treated area, dissected just after euthanasia and their
liver put immediately at -80�C.
Tissue preparation
Voles were dissected when already frozen and liver and
one kidney were excised. The kidney was directly placed in
a tube and stored at -80�C before DNA sequencing.
Microsomes were prepared from thawed liver by dif-
ferential centrifugation as described in Lasseur et al.
(2007). Protein concentration was determined by the
method of Bradford (1976) using bovine serum albumin as
a standard. Microsomes were stored at -80�C until use.
Bromadiolone analysis
The bromadiolone analyses were performed at the ENVL
Toxicology Laboratory using high performance liquid
chromatography (HPLC) according to a method adapted
from Berny et al. (2006). The internal standard was
J. Vein et al.
123
difenacoum at 2.5 lg/ml and all the reagents were of
HPLC grade. Briefly, 0.2 g of vole liver was grinded in
10 ml of acetone with 200 ll of internal standard, the
solution was centrifugated 10 min at 30009g and 2 ml of
the supernatant was evaporated under N2. The dried residue
was diluted in 200 ll of mobile phase (70% methanol, 30%
phosphate buffer Na?/K? 0.24 M pH 6.5) and the obtained
solution was used for analysis. The HPLC system was
composed by an isocratic pump L-2130, an autosampler
L-2200 and a fluorimetric detector L-2480. The data
acquisition was performed by using the EZ ChromElite
3.1.3 software (Elite LaChrom, Merck Hitachi, Nogent-sur-
Marne, France). Fifty microliters of sample were injected
in a LichroCART Nucleodur C18 EC column (100–5 lm,
250 9 4.6 mm Macherey–Nagel, Strasbourg, France) ran
at 1 ml/min in a phosphate buffer: methanol solution
(30% : 70%, v/v).
The limit of detection (mean of noise level ? 3 standard
deviations) for this method was 0.17 lg bromadiolone/g of
liver and the limit of quantification (mean of noise level
?10 standard deviations) was 0.28 lg bromadiolone/g of
liver on 10 samples. Linearity was determined on standards
and spiked liver samples between 0.3 and 1.5 mg.kg-1
(r2 [ 0.99%). Percentage of recovery varied between 82.8
and 92.2% for bromadiolone (CV \ 10%) on three repli-
cate spiked liver samples between 0.3 and 1.5 mg/kg.
Measure of VKOR activity in water vole liver
microsomes
The incubation conditions for the water vole were validated
on a mix of microsomes from individuals of the non treated
area. Each measure was performed in duplicate. The line-
arity of the reaction was tested on three parameters:
quantity of proteins as 1, 2 or 3 mg, the maximal Vitamin
K Epoxide (Vitamin K [ O) concentration as 100 or
200 lM and the incubation time as 20, 30 or 40 min.
The VKOR microsomial activity was assayed as
described by Lasseur et al. (2007) with some modifications.
The reaction solution contained 2 mM of DTT (dithio-
threitol), buffer solution was 200 mM Tris–HCl/0.15 M
KCl (pH 7.4) and 1.5 mg of total protein was added. The
reaction was started by added Vitamin K [ O in 1% Triton
X-100 solution for a final volume of 1 ml. The incubation
time was 20 min at 37�C and the reaction was stopped by
adding 4 ml of iced isopropanol/hexane (1:1, v/v) solution.
Vitamin D3 at 10 mM was added as an internal standard.
After centrifugation (50009g, 5 min), the hexane layer
was dried under nitrogen and the dry residue was dissolved
in 200 ll of isopropanol. This solution was immediately
analysed by HPLC for Vitamin K and Vitamin D3 mea-
surement. The HPLC system consisted in an autosampler
AS-2000A, an isocratic pump L-6200A, and UV- VIS
Activated clotting factors
VKOR
Vitamin K reductase
γ- carboxylase
OH
OH
CH3
R
Reduced Vitamin K
O
O
CH3
R
O
O
O
CH3
R
Vitamin K
Inactive clotting factor
AVK
Vitamin K Epoxide
Fig. 1 Vitamin K cycle
Field treatments
123
detector L-4520 (Merck, Nogent-sur-Marne, France), an
interface SS 420x (Scientific Software Inc., Lincolnwood,
Illinois, USA) and the EZ Start software (Merck, Nogent-
sur-Marne, France). 50 ll of each sample were injected in
a Purospher RP-18, 5 lm, 125 9 4 mm column (Merck,
Nogent-sur-Marne, France) ran at 1.5 ml/min in a tetra-
hydrofuran:methanol (1:10, v/v) solution and maintained at
40�C. The linearity of the HPLC method for Vitamin K had
been tested between 0 and 5 nmol of Vitamin K and for
concentration between 0 and 100 lmol/L (R2 in each cases
[0.99). Each calibration curve was performed in triplicate
and the coefficient of variation was always under 10%.
Study of VKOR kinetic parameters in the water vole
Individual screening
An individual screening was performed on 37 animals (9
from By, 15 from Vescles and 13 from Morteau). The
VKOR activity was assayed for three Vitamin K [ O
concentrations (25, 50 and 200 lM) without inhibitor and
two Warfarin concentrations (0.5 and 5 lM) at 200 lM
Vitamin K [ O. Each measure was performed in triplicate.
The results were expressed as the apparent reaction activ-
ity, i.e. the amount of Vitamin K produced per milligram of
total protein per minute and as the percentage of inhibition
for 0.5 lM of Warfarin (P):
P ¼ V � Vinhibeð ÞV
� 100
Where V is the apparent reaction activity for an individual
with 200 lM Vitamin K [ O and Vinhibe is the apparent
reaction activity for the same individual with 200 lM
Vitamin K [ and 0.5 lM Warfarin. Warfarin was chosen
as a model for different reasons. First it is the reference
AVK and the one used in most international publications
on resistance in rodents. Then it is a first generation AVK
and it is known in resistant rats that Ki are more modified
with first generation than second generation AVK (Lasseur
et al. 2007). So as we didn’t know if a resistance did exist
in our vole populations, we chose to perform our experi-
ments in the more favourable situation to demonstrate the
phenomenon if it actually exists.
Kinetic parameters evaluation on two groups of animals
With the results of individual screening, two groups of
animals were defined and their liver microsomes were
mixed in two samples. These were used to evaluate the
VKOR kinetics parameters. In order to determine apparent
Km (reaction constant), Vmax (maximal apparent activity)
and Ki (inhibitory constant), the reaction was performed
with four Vitamin K [ O concentrations from 25 to
200 lM and for each Vitamin K [ O concentration we
used five Warfarin concentrations from 0 to 3 lM. Each
measure was performed in duplicate.
Statistical analyses
The means of apparent reaction activity and of the per-
centage of inhibition were compared between the three
areas using the non parametric Kruskal–Wallis rank sum
test for mean comparisons and for pair-wise comparisons
the Wilcoxon rank sum test with the Bonferroni adjustment
method. The means of apparent reaction activity between
the mutated and the wild type group were compared using
the non parametric Mann–Whiney–Wilcoxon rank sum
test. All the statistical analyses were performed by using
the R.2.4.1 software (R Development Core Team 2010).
The model applied for the VKOR enzymatic parameters
estimate was the Michaelis–Menten model with a non-
competitive inhibition (Lasseur et al. 2005, Walsh et al.
2007):
V ¼ Vmax �S½ �
1þ I½ �Ki
� �� Km þ S½ �ð Þ
0@
1A
Where V is apparent reaction activity, Vmax is maximal
activity, [S] is Vitamin K [ O concentration, [I] is War-
farin concentration, Km is VKOR activity constant and Ki is
VKOR inhibitory constant for Warfarin.
This model gives a global estimate of the apparent
reaction activity by two control parameters (Vitamin
K [ O concentration and Warfarin concentration). Fitting
the model to the data was performed by nonlinear regres-
sion by using the least square criterion. Estimates of
parameters were obtained by minimizing the residual sum
of squares (RSS).
RSS ¼Xn
i¼1
yi � yið Þ2
Where yi is the square root of observed activity,yi its fitted
value and n the number of data points. The square root of
the observed activity was used to normalize the model
residuals. The nonlinear regression was computed with the
Nonlinear Least Square (nls) function of R software. The
precision of each parameter estimate was expressed in term
of asymptotic marginal confidence interval at 95%.
Water vole vkorc1 gene study
Gene reconstruction
The cDNA was obtained by RT-PCR from RNA of vole
liver. RNA extraction was performed by using the SV Total
J. Vein et al.
123
RNA Isolation System (Promega, Charbonnieres les Bains,
France). Genomic DNA was extracted from kidney sam-
ples by using Wizard Genomic DNA Purification Kit
(Promega, Charbonnieres les Bains, France).
The first step was a cDNA reconstruction using the 30
SMART-RACE� procedure (Clonetech Laboratories Inc.,
St Quentin les Yvelines, France) with a specific primer
from the Norway rat (Rattus norvegicus) at the end of Exon
2. It gave us the sequence for the water vole of the end of
Exon 2 and the total Exon 3. A 50 SMART-RACE� pro-
cedure had been tried but had failed.
The second step was therefore a genome reconstruction
using different sense primers designed from Norway rat far
upstream the start codon and a specific reverse primer for
the water vole sequence (At-AS1) downstream from the
stop codon. One of these sense primers (At-S1) matched
with the water vole genomic DNA. The product was
sequenced with internal primers and we obtained a con-
sensus sequence of ca. 2800 bps for the water vole vkorc1
gene (GenBank Access number FJ986204 for the DNA
sequence).
The primer pair (At-S1 and At-AS1) was used to obtain
the complete coding sequence of the cDNA for vkorc1
(GenBank Access number FJ986205 for the mRNA). The
primers sequences At-S1 and At-AS1 are summarized in
Table 1.
VKORC1 sequencing
Each 27 samples from By and Vescles were amplified by
PCR using the primers At-S1 and At-AS1 and each of the
three exons were sequenced for vkorc1 gene internal spe-
cific primers.
Chemicals
The Vitamin K epoxide was produced from Vitamin K
phylloquinone with a method adapted from Thierry-Palmer
(1984). The Vitamin K, DTT, Tris buffer, Vitamin D3,
Na2HPO4, KH2PO4, KCl, glycerol, EDTA, Triton X-100,
BSA were purchased from Sigma-Aldrich (Saint-Quentin
Fallavier, France). Isopropanol, n-Hexane, Tetrahydrofu-
ran, Methanol, and Acetone were from VWR International
(Strasbourg, France). Warfarin and Bromadiolone were
supplied by LiphaTech (Pont du Casse, France) and Dife-
nacoum by CIL (Sainte Foy la Grande, France). All
reagents used were of the highest purity available and all
solvents of HPLC grade.
Results
Bromadiolone dosing in the vole liver
One of the 40 samples (M14) contained bromadiolone
residues. It was then excluded from future experiments to
avoid interferences with VKOR activity measurement. All
the other samples were below the detection limits of our
HPLC method.
Assessment of the VKOR Assay conditions for water
vole liver microsomes
We tested the reaction linearity for three parameters: pro-
tein quantity, Vitamin K [ O concentration and incubation
time. The reaction was linear up to 2 mg of total protein
and 20 min incubation and plateaued for 200 lM Vitamin
K [ O (data not shown). For our experiments we then
chose to work with 1.5 mg total protein, a Vitamin K [ O
concentration range from 0 to 200 lM and an incubation
time of 20 min.
During the individual screenings the measurements were
performed in triplicates. Concerning the incubation with
200 lM Warfarin, the coefficient of variation of the
activity ranged from 0.8 to 12.3% in the 37 samples tested
with a mean of 5.7% for all the individuals.
VKOR activity comparison between the three areas
We compared the apparent reaction activity with 200 lM
Vitamin K [ O and 0 or 0.5 lM Warfarin. Without War-
farin, the global comparison (Fig. 2) exhibits a significant
difference (p = 0.02) but the pair-wise comparisons are
not significant. We can also note that the results for the
Vescles area are more heterogeneous than those for the
other areas. Concerning the results with 0.5 lM Warfarin
(Fig. 3a) there is a significant difference in the global
comparison (p = 1 9 10-4) and in pair-wise comparisons
between By and Vescles areas (p = 4 9 10-4) and Mor-
teau and Vescles areas (p = 3 9 10-3). There is also a
greater heterogeneity in the results from Vescles than from
the other areas. We also compared the percentages of
inhibition for 0.5 lM of Warfarin (Fig. 3b). The global
comparison exhibits a significant difference (p = 0.02) and
the pair-wise comparison a significant difference between
the areas of By and Vescles (p = 0.03). Further compari-
son were performed between By and Vescles areas only for
two reasons: first they are the two areas where the pair-wise
comparisons were always significant, then Vescles was the
Table 1 Primers used to sequence water vole vkorc1 gene
Primer name 50–30 sequence
At-S1 GTCGACATGGGCACCACCTGCAG
At-AS1 AGAGCACAAAGAACAGGACCCAGGC
Field treatments
123
area where the treatments were applied the more regularly
and so the area where the probability of finding a resistance
phenomenon was greater.
Enzymatic parameters assessment
As the quantity of microsomes available from the whole
liver of a vole was limited, enzymatic assessment was
performed on pooled liver microsomes. Figure 4a, b pres-
ent the predicted activity for the different Warfarin con-
centrations adjusted to the values observed. Graphically,
we can observe that our model fits the data well. Moreover,
we checked the normality of the residuals.
Table 2 summarizes the estimated parameters and their
95% confidence intervals. It is interesting to note that the
Km values were similar from one group to the other while
the Vm and Ki seemed significantly different.
Water vole vkorc1 genetic study results
We have determined a consensus sequence for water vole
vkorc1. By sequencing each sample from By (10 animals) and
Vescles (17 animals), a sequence comprising the entire three
exons is obtained for each animal. After alignment of the 27
sequences, it is possible to notice two differences: a silent
mutation in Exon 2 and the presence of an intronic haplotype
composed by a 4 bps deletion and three heterozygotes
mutations in the second intron of five animals from Vescles.
We compare vkorc1 activity with 200 lM Vitamin
K [ O and 0.5 lM Warfarin for the individuals presenting
the haplotype and wild-type (i.e. without haplotype) ani-
mals. Unfortunately, two individuals from Vescles area and
one from By area were not fully tested because we lacked
materials and so were not included in the analysis. Thus the
comparison was performed between the five animals from
By (n=9) Morteau (n=13) Vescles (n=15)
0.06
0.08
0.10
0.12
0.14
Area
VK
OR
enz
ymat
ic a
ctiv
ity
*
*
*
Fig. 2 Reaction activity in the three areas in presence of 200 lM
Vitamin K [ O. *Global comparison with significant difference
between the three areas (p = 0.02) (Reaction activity is expressed in
nmol Vitamin K produced/mg of total protein/min, n is number of
samples in each group)
By (n=9) Morteau (n=13) Vescles (n=15)
0.02
0.03
0.04
0.05
0.06
0.07
Area
VK
OR
enz
ymat
ic a
ctiv
ity
*,§*,#
*,§,#
By (n=9) Morteau (n=13) Vescles (n=15)
4050
6070
Area
Per
cent
age
of in
hibi
tion
with
0.5
µM
of W
arfa
rin *,#
*
*,#
(a)
(b)
Fig. 3 a Reaction activity in the three areas in presence of 200 lM
Vitamin K [ O and 0.5 lM Warfarin. *Global comparison with
significant difference between the three areas (p = 1 9 10-4).
Pairwise comparisons: §significant difference between By and
Vescles areas (p = 4 9 10-4) and #significant difference between
Morteau and Vescles areas (p = 3 9 10-3) (Reaction activity is
expressed in nmol Vitamin K produced/mg of total protein/min, n is
number of samples in each group). b Percentage of inhibition in the
three areas in presence of 200 lM Vitamin K [ O and 0.5 lM
Warfarin. *Global comparison with significant differences between
the three areas (p = 0.02). Pairwise comparisons: #significant differ-
ence between By and Vescles areas (p = 0.03) (n is the number of
samples in each group)
J. Vein et al.
123
Vescles with the haplotype and 19 wild-type animals. It
showed a significant difference (p = 0.03) (Fig. 5).
Discussion
Resistance to AVKs is defined as an inefficiency of AVK
treatments when correctly applied. Thus in resistant ani-
mal, the coagulation is not impaired by usual dose of
AVKs. This trait should be genetically heritable (Greaves
1994). As it is difficult to control correct application in the
field, some standardized methods were developed to con-
trol the resistance status of an animal. These methods are
based on the administration of a controlled dose of AVKs
orally or intraperitoneally and the measurement of the
efficacy of coagulation after 24 h. The coagulation can be
estimated by some coagulation times or by the Interna-
tional Normalized Ratio (INR). In case of a group of sus-
ceptible animals, the INR should be over 5 in 50% of the
animals, whereas it is much lower in a resistant group
(Anonymous 2003). Resistance to AVKs is a heritable trait,
thus it should have a genetic background. It is a biological
advantage when a selection pressure (i.e. the use of AVKs)
is applied. A major selection pressure leads to a rapid and
‘efficient’ selection of resistant populations if some allele
coding for resistance existed beforehand.
(a)
(b)
Fig. 4 a Reaction activity for different Vitamin K [ O and Warfarin
concentrations in the By area (Concentrations are expressed in lmol/
L and reaction activity in nmol Vitamin K produced/mg of total
protein/min). b Reaction activity for different Vitamin K [ O and
Warfarin concentrations in the Vescles area (Concentrations are
expressed in lmol/l and reaction activity in nmol Vitamin K
produced/mg of total protein/min)
Table 2 Enzymatic parameters for the two groups of animals and
their 95% confidence interval
Group Km Vm Ki
By 29.14
[24.00–35.19]
0.064
[0.059–0.070]
0.42 [0.38–0.48]
Vescles 30.42
[26.70–34.57]
0.091
[0.086–0.097]
0.70 [0.63–0.77]
Km is the activity constant expressed in lM of Vitamin K [ O, Vm is
the apparent maximal reaction activity expressed in nmol of Vitamin
K produced/mg of total protein/min and Ki is the inhibitory constant
for warfarin expressed in lM of warfarin
Haplotype (n=5) Wild type (n=19)
0.02
0.03
0.04
0.05
0.06
0.07
Genotype
VK
OR
enz
ymat
ic a
ctiv
ity
*
*
Fig. 5 Comparison of the reaction activity at 200 lM Vitamin
K [ O and 0.5 lM Warfarin between the ‘‘haplotype’’ group and the
‘‘control’’ group. *Significant difference between the two groups
(p = 0.03) (Haplotype haplotype group, Wild type control group,
n number of individuals per group, Reaction activity expressed in
nmol Vitamin K produced/mg of total protein/min)
Field treatments
123
In Franche-Comte, the water vole population cyclic
outbreaks are controlled with bromadiolone treatments in
the field. The importance of treatments depends on the
area: in certain areas, where treatments have been applied
every year for around 20 years, the selection pressure has
been particularly important. The most regularly treated
areas are the most infested areas and the areas where vole
populations are the most important and that could be a hint
of the inefficacy of the treatments. The Vescles area is a
field where the treatments were intensive and thus the
selective pressure important, whereas the By area is a non
treated field and served as our negative control plot. Our
hypothesis was that the Vescles area was a plot where the
treatments were less efficient because resistance to AVKs
had been selected. However it was not possible to test
resistance in vivo because it was technically impossible to
maintain live water vole in our laboratory. Consequently,
we decided to look for indirect (i.e. in vitro) arguments in
favour of resistance to AVKs in this population.
Resistance to AVKs is characterized by two major
mechanisms. The first involves mutations in vkorc1 gene
which encodes the target of AVKs, the Vitamin K Epoxide
Reductase (VKOR). This mechanism is predominant in the
Norway rat in Western Europe. The second mechanism is
VKOR independent and appears to be based on differences
in the metabolism of AVKs and on cytochrome P450
dependent activities. This has been the subject of more
studies and is probably predominant in the roof rat (Sugano
et al. 2001; Ishizuka et al. 2007) and appears also important
in the house mouse. A recent study has proved that resis-
tance in the Norway rat could also be related in certain
strains, but to a limited extent, to the cytochrome pathway
(Markussen et al. 2008).
In our study, we decided to test the VKOR part of
resistance as a first step. We therefore tried to detect a
variation on VKOR activity and on VKOR response to
inhibition by Warfarin in water vole populations subjected
to repeated treatment in comparison with a non treated
population. The measurement of VKOR activity and inhi-
bition parameters has already been used as a tool to dis-
criminate between phenotypically resistant and sensitive
strains in the Norway rat and the house mouse (Lasseur
et al. 2005, 2006).
This study proves that VKOR activity depends on the
area where the voles were trapped (Fig. 2). Moreover, it is
in the Vescles area, the most heavily and regularly treated,
that the average enzymatic activity, either with or without
Warfarin, is the highest and that we can note a substantial
heterogeneity. Regarding this point we can postulate the
existence of two subpopulations in Vescles, which will
have different VKOR activities and thus different statuses
towards AVKs. The difference of VKOR activity between
the three areas could be attributed to different factors. We
found that sex and weight had no significant effect (data
not shown) and the three trapped populations were mostly
composed of mature adults. The differences in VKOR
activity could also have been explained by a divergence of
the populations due to the distance between the three areas
(at least 100 kms) but we chose three plots whose floristic
composition was as similar as possible. It is noteworthy
that, in spite of the importance that these biological factors
could have on resistance to AVKs, we found that treatment
history of the plot seems to have a great influence on dif-
ferences in VKOR activity. Actually, the area where bro-
madiolone was used on the more regular basis (at least one
treatment per year), is where the VKOR average activity
was the most important and the greatest heterogeneity in
VKOR activity was observed. It suggests an adaptation to
the presence of bromadiolone in the environment in the
Vescles area.
The VKOR microsomal hepatic activity was also tested
in the three areas in presence of 0.5 lM of Warfarin. The
median of the percentage of inhibition was 66% in the By
area and 51% in the Vescles area. As the inhibition in the
population of the Vescles area is less important in com-
parison to the population of By, the differences between
the remaining VKOR activities are increased (Fig. 3). This
could be considered as a biological advantage for the ani-
mals in case of a bromadiolone treatment and thus, could
be an argument in favour of a resistance to AVKs in the
population of the Vescles area.
For the precise evaluation of enzymatic parameters, we
have focused on the most different areas, By and Vescles.
It is important to note, first, that all our study was based on
animals trapped at random in the field and not on animals
selected on a known genetic background. However, we can
observe some differences in the Vmax and the Ki for War-
farin between the two sets of samples whereas the Km is
similar (Table 2). The increased Ki in the Vescles group of
animals means that their VKOR is less sensitive to the
inhibition by Warfarin than VKOR of the animals trapped
in the By area. So it is a hint that there is a resistance
phenomenon in the Vescles population.
Consequently, we decided to look for a potential genetic
background of this resistance. As the vkorc1 gene was not
known for the water vole, we had to elucidate the specific
sequence of the gene in this species. We showed that the
protein sequence was very similar to the one of R. nor-
vegicus. The sequencing of all individuals from the two
areas showed few differences but a silent mutation in Exon
2 and an intronic haplotype. The silent mutation in the
second Exon seems to discriminate between the two areas
and could indicate a spatial segregation between the two
populations. On the contrary, the intronic haplotype is
present only in five animals in the Vescles area. It consists
in the deletion of 4 bps and three heterozygotes mutations
J. Vein et al.
123
in the second intron. To test the meaning of the haplotype
in term of resistance, we have studied the relation between
the genotype (mutated/wild type) and the VKOR activity.
The VKOR activity was significantly more resistant to
Warfarin in the mutated group. It seemed thus, that this
haplotype could be associated with resistance towards
AVKs in the water vole.
It could also be interesting to compare our results to
previous results in the Norway rat. In the resistant rat
Y139F, Lasseur et al. (2005) demonstrated that Km and
Vmax are decreased so that the enzymatic efficiency (Vmax/
Km) remained constant while the Ki for Warfarin was
highly increased. In the present study, Km is constant
whereas Vmax is increased, so the efficiency is also
increased, and the Ki for Warfarin is slightly increased. In
the water vole, the enzymatic mechanism is easily under-
standable. Indeed, the increase of Vmax and thus of the
enzymatic efficiency in case of resistance leads to a
potential VKOR activity more important when the animal
ingests some AVKs and, consequently, to a more limited
impact of AVKs on this animal. Such a situation in the
water vole can also be compared to what is known in
humans. A mutation on the VKORC1 gene promoter, in
linkage with an intronic mutation on the first intron,
explains 37% of the variation in the response to oral anti-
coagulants used as treatments in the thromboembolic dis-
eases (Bodin et al. 2005). In our case, we can hypothesize
that a mutation on the promoter of the vkorc1 gene of the
water vole could explain the raise of the enzymatic effi-
ciency and that this might be in linkage with the intronic
haplotype we have discussed above.
Conclusion
Our study has pointed out the existence of resistance in
water vole populations submitted to intensive treatments
with bromadiolone in their environment. However, our
study only dealt with the VKOR part of resistance to AVKs
and it is well known in human or in other rodents that the
resistance could also be due to differences in AVKs’
metabolism by the cytochrom P450 complex. It could also
be interesting to investigate further this part of resistance
towards AVKs in this species or to perform in vivo studies.
Nevertheless, it seems important to us to consider resis-
tance in further studies on the water vole population
dynamics, especially in areas where AVKs are used to
control vole populations.
Acknowledgments We thank M.L. Delignette-Muller for aid in
statistical analysis and the FREDON Franche-Comte team for the
help in field work. We thank C. Longin-Sauvageon for her technical
help.
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