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                  <text>The research in this publication was partially or fully funded by Colorado Parks and Wildlife.

Dan Prenzlow, Director, Colorado Parks and Wildlife • Parks and Wildlife Commission: Marvin McDaniel, Chair • Carrie Besnette Hauser, Vice-Chair
Marie Haskett, Secretary • Taishya Adams • Betsy Blecha • Charles Garcia • Dallas May • Duke Phillips, IV • Luke B. Schafer • James Jay Tutchton • Eden Vardy

�viruses
Article

Feline Foamy Virus is Highly Prevalent in
Free-Ranging Puma concolor from Colorado,
Florida and Southern California
Sarah R. Kechejian 1 , Nick Dannemiller 1 , Simona Kraberger 2 , Carmen Ledesma-Feliciano 3 ,
Jennifer Malmberg 4 , Melody Roelke Parker 5 , Mark Cunningham 6 , Roy McBride 7 ,
Seth P. D. Riley 8 , Winston T. Vickers 9 , Ken Logan 10 , Mat Alldredge 11 , Kevin Crooks 12 ,
Martin Löchelt 13 , Scott Carver 14 and Sue VandeWoude 1, *
1

2
3
4
5
6
7
8
9
10
11
12
13

14

*

Department of Microbiology, Immunology, and Pathology,
College of Veterinary Medicine and Biomedical Sciences, Colorado State University,
Fort Collins, CO 80523, USA; skecheji@colostate.edu (S.R.K.); dannemillern@gmail.com (N.D.)
Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA; simona.kraberger@gmail.com
Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, 12700 E 19th Ave,
Aurora, CO 80045, USA; Carmen.Ledesma_Feliciano@colostate.edu
Wyoming State Vet Lab, University of Wyoming, 1174 Snowy Range Road, Laramie, WY 82072, USA;
jennifer.malmberg@uwyo.edu
Frederick National Laboratory of Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21701,
USA; melody.roelke-parker@nih.gov
Florida Fish and Wildlife Conservation Commission, 1105 SW Williston Road, Gainesville, FL 32601, USA;
mark.cunningham@myfwc.com
Rancher’s Supply Inc., Alpine, TX 79830, USA; livestockprotection@gmail.com
National Park Service, Santa Monica Mountains National Recreation Area, Thousand Oaks, CA 90265, USA;
seth_riley@nps.gov
Karen C. Drayer Wildlife Health Center, University of California, Davis, CA 95616, USA;
twvickers@ucdavis.edu
Wildlife Researcher Colorado Parks and Wildlife, 2300 S. Townsend Avenue, Montrose, CO 80203, USA;
ken.logan@state.co.us
Colorado Division of Wildlife Office, Mammals Research, 317 W. Prospect Rd, For Collins, CO 80526, USA;
Mat.alldredge@state.co.us
Department of Fish, Wildlife, and Conservation Biology, Colorado State University 115 Wagar, Fort Collins,
CO 80523, USA; kevin.crooks@colostate.edu
Department of Molecular Diagnostics of Oncogenic Infections, Research Program Infection,
Inflammation and Cancer, German Cancer Research Center,
(Deutsches Krebsforschungszentrum Heidelberg, DKFZ), Im Neuenheimer Feld 242,
69120 Heidelberg, Germany; m.loechelt@dkfz-heidelberg.de
School of Biological Sciences, University of Tasmania, Sandy Bay, Tasmania 7005, Australia;
Scott.carver@utas.edu.au
Correspondence: sue.vandewoude@colostate.edu

Received: 7 March 2019; Accepted: 17 April 2019; Published: 19 April 2019

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Abstract: Feline foamy virus (FFV) is a retrovirus that has been detected in multiple feline species,
including domestic cats (Felis catus) and pumas (Puma concolor). FFV results in persistent infection
but is generally thought to be apathogenic. Sero-prevalence in domestic cat populations has been
documented in several countries, but the extent of viral infections in nondomestic felids has not
been reported. In this study, we screened sera from 348 individual pumas from Colorado, Southern
California and Florida for FFV exposure by assessing sero-reactivity using an FFV anti-Gag ELISA.
We documented a sero-prevalence of 78.6% across all sampled subpopulations, representing 69.1% in
Southern California, 77.3% in Colorado, and 83.5% in Florida. Age was a significant risk factor for
FFV infection when analyzing the combined populations. This high prevalence in geographically

Viruses 2019, 11, 359; doi:10.3390/v11040359

www.mdpi.com/journal/viruses

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distinct populations reveals widespread exposure of puma to FFV and suggests efficient shedding
and transmission in wild populations.
Keywords: feline foamy virus; epidemiology; retrovirus; Spumaretrovirus; mountain lion;
Puma concolor; ELISA

1. Introduction
Feline foamy virus (FFV) is a member of the oldest retrovirus family, Spumaretrovirinae [1].
The virus is reportedly contact-dependent and causes life-long infections in felines worldwide [2].
FFV was originally identified as a tissue culture contaminant from primary feline cell cultures [3] and
named for its characteristic cytopathic effects. In comparison to other feline retroviruses, the relevance
of FFV infection to felid behavior and health is not yet well-understood despite its high prevalence in
populations worldwide [4]. Existing epidemiological studies on FFV have almost exclusively evaluated
domestic cat (Felis catus) populations [5,6], with only a handful evaluating prevalence in wild feline
species [7–10]. Additionally, published literature has found FFV to be putatively apathogenic in
domestic cats [11] but no literature has explored the virus’ relationship to pathology in wild felids.
Puma (Puma concolor) are the largest felid in North America and have frequent contact (e.g. predation)
with domestic cats [12], making them a unique subject for this analysis.
In this study we exploited an extensive archive [13] to investigate FFV sero-prevalence and risk
factors in pumas in the United States using a serologic assay validated for use in domestic cats [14–16].
Relationships between puma demography (e.g. age and sex) and FFV infection was determined using
a Bayesian hierarchical modeling approach. We additionally explored the effect of a regional treatment
(sport-hunting ban) on FFV sero-positivity in one Colorado subpopulation in order to investigate
the effect of management interventions on the spread of the virus. Our results suggested that FFV
sero-prevalence in U.S. puma was high (78.6% overall), risk factors varied by sampling location,
and that a ban on hunting did not affect FFV sero-prevalence in Colorado.
2. Materials and Methods
We evaluated FFV sero-prevalence in three states: Colorado (n = 130, collected 2005–2011), Florida
(n = 150, collected 1983–2010), and Southern California (n = 68, collected 2001–2011). Puma samples were
opportunistically collected by government and local authorities engaged in independent management
studies as previously described [13,17]. Sex and age of sampled pumas, if recorded, were determined
via manager expertise, categorized as male or female and adult or young. Due to inconsistent location
information, each state’s sample population was considered a uniform population.
Sera were tested in duplicate on separate 96-well plates at 1:50 dilution using a non-quantitative
GST-capture ELISA targeting the FFV Gag antigen, as previously described [14–16]. The ELISA has high
sensitivity and specificity for the detection of FFV antibodies in naturally and experimentally infected
domestic cats and has been validated against western blot [14–16]. This ELISA utilizes recombinant
FFV Gag antigen generated from domestic cat FV sequences, which are 98% similar to the published
puma FFV Gag [18,19]. Additional data evaluating more than 50 gag sequences from Colorado pumas
has determined 95–100% similarity between puma and domestic cat FFVs [20]. A positive ELISA result
was defined as having an OD absorbance over [2 × (meanGag + 3 SD)], with “meanGag” being the
average negative control absorbance, and “SD” being the standard deviation of the negative control
absorbance. This calculation employs very stringent cut off criteria [14–16], and is similar to methods
of analytical detection reported by Lardeux et al. (2016) [21]. OD calculation was revised for each run,
assuring each analysis was compared to its own negative control. Serum from experimentally infected
domestic cats (positive) or specific pathogen free domestic cats (negative) were used as controls [15].
All plates were run in the same laboratory by the same individual over the course of one month.

�Viruses 2019, 11, 359

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Reagents were reconstituted on an as-needed basis. ELISA plates were prepared with fresh coating
buffer the night prior to use.
Normalization
results
was conducted by calculating each sample’s absorbance as a percent
Viruses
2019, 11, x FOR of
PEER
REVIEW
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of average positive control absorbance on the same plate. Each sample was additionally recorded as
of results
wasoff
conducted
by calculating
each sample’s
absorbance as a percent of
positiveNormalization
or negative using
OD cut
values calculated
as described
above.
average
positive
control
absorbance
on
the
same
plate.
Each
sample
was
additionally
recorded
FFV sero-prevalence across the sampling period, stratified by sex (male
and female)
andasage
positive
or
negative
using
OD
cut
off
values
calculated
as
described
above.
(young and adult) across all locations was compared using a chi-square test. Sex, age, and the
FFV sero-prevalence across the sampling period, stratified by sex (male and female) and age
interaction between sex and age were evaluated as possible risk factors for FFV infection for each state
(young and adult) across all locations was compared using a chi-square test. Sex, age, and the
and across all samples using Bayesian generalized linear models (GLMs, a style of linear regression
interaction between sex and age were evaluated as possible risk factors for FFV infection for each
accounting for response variables with non-normal error distributions). For each coefficient (i.e.,
state and across all samples using Bayesian generalized linear models (GLMs, a style of linear
variable), we used weakly informative priors and extracted a 95% credible interval from the posterior
regression accounting for response variables with non-normal error distributions). For each
distribution.
Any coefficient whose 95% credible interval did not contain 0 was considered important.
coefficient (i.e., variable), we used weakly informative priors and extracted a 95% credible interval
GLMs
were
ranked
comparedAny
usingcoefficient
Akaike information
an did
estimator
of the0relative
from the posteriorand
distribution.
whose 95%criterion
credible (AIC,
interval
not contain
was
quality
of a statistical
model
when
compared
to other
models
for Akaike
a given information
set of data). criterion
The model
with
considered
important.
GLMs
were
ranked and
compared
using
(AIC,
thean
lowest
AIC
value
was
considered
to
better
fit
the
data
and
subsequently
the
important
variable(s)
estimator of the relative quality of a statistical model when compared to other models for a given
within
model
considered
riskvalue
factorswas
for considered
puma FFV infection.
If athe
model
set ofthat
data).
Thewere
model
with thepotential
lowest AIC
to better fit
data had
andan
important
predictor
and was within
2 AIC
of the
best
fit model,
it was considered
reveal
the for
most
subsequently
the important
variable(s)
within
that
model
were considered
potentialtorisk
factors
credible
risk
factor
for
FFV
infection
in
pumas.
Puma
with
unrecorded
sex
(n
=
10)
or
age
(n
=
puma FFV infection. If a model had an important predictor and was within 2 AIC of the best fit model,74)
were
excluded
from to
risk
factorthe
analyses.
There risk
werefactor
173 female,
male, 190
adult and
86 with
young
it was
considered
reveal
most credible
for FFV167
infection
in pumas.
Puma
unrecorded
= 10) or age (n = 74) were excluded from risk factor analyses. There were 173 female,
pumas
used insex
the(nanalysis.
167We
male,
190 adult evaluated
and 86 young
used in the during
analysis.and after a management intervention in
additionally
FFVpumas
sero-prevalence
We
additionally
evaluated
FFV
sero-prevalence
during
and implemented
after a management
intervention
in in
Colorado. Between 2004 and 2009, Colorado Parks and Wildlife
a sport
hunting ban
Between
2004 andmanagement
2009, Colorado
Parks and
Wildlife
implemented
sport hunting ban
in
theColorado.
Western Slope
to evaluate
programs
[22].
We compared
FFVasero-prevalence
during
the
Western
Slope
to
evaluate
management
programs
[22].
We
compared
FFV
sero-prevalence
during
(2004–2009) and after (2010–2014) the sport hunting ban using a chi square statistic.
(2004–2009) and after (2010–2014) the sport hunting ban using a chi square statistic.
3. Results
3. Results
3.1. Sero-Prevalence
3.1. Sero-Prevalence
FFV sero-prevalence is reported in Figure 1 and was high in all three states with an overall
FFV sero-prevalence
is reported
in Figure
and was
high in allassociation
three statesof
with
ansero-prevalence
overall serosero-prevalence
of 78.6% (95%
CI: 74, 82.7).
There1 was
no significant
FFV
prevalence
of
78.6%
(95%
CI:
74,
82.7).
There
was
no
significant
association
of
FFV
sero-prevalence
with location at the state level.
with location at the state level.
100
90

% Sero-prevalence

80
70
60
50
40
30
20
10
0
S. California (n=68)

Colorado (n=130)

Florida (n= 150)

Overall (n=348)

Figure
1. 1.
Puma
feline
sero-prevalenceininthe
theU.S.
U.S.Sero-prevalence
Sero-prevalence
Figure
Puma
felinefoamy
foamyvirus
viruswas
wasfound
found in
in high
high sero-prevalence
byby
state:
Southern
Colorado77.3%
77.3%(95%
(95%CI:
CI:69.1,
69.1,84.3%);
84.3%);
Florida
state:
SouthernCalifornia
California69.1%
69.1%(95%
(95%CI:
CI: 56.7,
56.7, 79.8%);
79.8%); Colorado
Florida
83.5%
(95%
CI:CI:
77.0,
88.9%).
Sero-prevalence
83.5%
(95%
77.0,
88.9%).
Sero-prevalenceacross
acrossallallsampling
samplinglocations
locations(overall)
(overall)was
was78.6%
78.6%(95%
(95%CI:
74.0,
ThereThere
was no
difference
between
states
(p =(p0.14).
CI:82.7%).
74.0, 82.7%).
wassignificant
no significant
difference
between
states
= 0.14).

Figure 2 displays the normalized distribution of all samples used in this analysis, grouped by
location, and colored by negative and positive assignment. Colorado samples with normalized

�Viruses 2019, 11, 359

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Figure 2 displays the normalized distribution of all samples used in this analysis, grouped
Viruses 2019, 11, x FOR PEER REVIEW
4 of 9
by location, and colored by negative and positive assignment. Colorado samples with normalized
absorbance
&gt;70%
wereconsistently
consistentlyclassified
classifiedasaspositive,
positive,
while
samples
absorbance
&gt;70%ofofthe
thepositive
positive control
control values
values were
while
samples
&lt;70%
ofof
the
positive
SouthernCalifornia
Californiasamples
samples
classified
&lt;70%
the
positivecontrol’s
control’sabsorbance
absorbance were
were negative.
negative. Southern
classified
as as
positive
had
absorbance
values
&gt;50%
of
the
positive
control
absorbance
except
for
one
sample
that
positive had absorbance values &gt;50%
positive control absorbance except for one sample that
was
classified31%
31%ofofpositive
positivecontrol
control value
value but still above
AllAll
other
was
classified
above negative
negativecut
cutoff
offfor
forthe
theplate.
plate.
other
SouthernCalifornia
Californiasamples
samplesclassified
classified as
as negative
negative had absorbance
absorbance &lt;50%.
and
Southern
Southern
&lt;50%.Colorado
Colorado
and
Southern
California
samples
classified
positivewere
wereclearly
clearlydistinguished
distinguishedby
bynegative
negative cut
cut off values (Figure 2).
California
samples
classified
asaspositive
2).
While
there
was
less
demarcation
of
clearly
negative
and
positive
samples
in thepopulation,
Florida
While there was less demarcation of clearly negative and positive samples in the Florida
population,
onlysamples
two positive
samples
were &lt;30%
absorbance
and
all negative
were &lt;30%.
only
two positive
were &lt;30%
absorbance
and
all negative
samples
were samples
&lt;30%. Reclassification
Reclassification
of
all
Florida
panthers
with
an
absorbance
less
than
49%
(n
=
7)
as
negative
would in
of all Florida panthers with an absorbance less than 49% (n = 7) as negative would have resulted
have
resulted
in
a
sero-positivity
of
74%
which
fell
outside
of
the
calculated
95%
confidence
interval
a sero-positivity of 74% which fell outside of the calculated 95% confidence interval (estimated as
(estimated as 77.0–88.9%); however, exclusion of these samples would have resulted in a sero77.0–88.9%);
however, exclusion of these samples would have resulted in a sero-positivity of 78%,
positivity of 78%, which remained within the calculated 95% confidence interval (estimated as 77.0–
which remained within the calculated 95% confidence interval (estimated as 77.0–88.9%).
88.9%).

% of Positive Absorbance (OD 450nm)

200

150

100

50

(n
=6
8)
A
S.
C

(n
=1
30
)
CO

FL

(n
=1
50
)

0

Figure
2. 2.Seropositive
distinguishedfrom
fromsamples
samplesclassified
classified
seronegative.
Figure
SeropositiveOD
ODvalues
values were
were well
well distinguished
as as
seronegative.
The
sample
points
in
red
were
negative;
the
sample
points
in
green,
purple
or
black
were
The sample points in red were negative; the sample points in green, purple or black were classified
classified as
positive
for their
respective
locations.
All All
Colorado
andand
all but
oneone
Southern
California
sample
fell
into
as positive
for their
respective
locations.
Colorado
all but
Southern
California
sample
fell
positive
absorbance
ranges ranges
that were
segregated
(noted (noted
with black
classified
into positive
absorbance
thatclearly
were clearly
segregated
withlines)
blackfrom
lines)samples
from samples
as classified
negative (&lt;70%
for CO,(&lt;70%
&lt;50%for
for CO,
S.CA).
112 for
of 119
Florida
as seropositive
were
as negative
&lt;50%
S.CA).
112samples
of 119 classified
Florida samples
classified
as at
least
49% of positive
OD of
values,
with
only two
samples
(noted samples
with black
line).
seropositive
were atcontrol
least 49%
positive
control
OD positive
values, with
only &lt;30%
two positive
&lt;30%
(noted with black line).

3.2. Demographic Associations

3.2.Results
Demographic
Associations
of Bayesian
GLMs are reported and graphically portrayed in Table 1 and Figure 3,
respectively.
sex nor
age are
were
predictors
FFV infection
in Southern
California,
but there
ResultsNeither
of Bayesian
GLMs
reported
andofgraphically
portrayed
in Table
1 and Figure
3,
was
a trend for Neither
higher FFV
exposure
in adults
relative
to younger
Age was
a predictor
for FFV
respectively.
sex nor
age were
predictors
of FFV
infectionpumas.
in Southern
California,
but there
infection
over for
all higher
sites and
also
in Colorado
andrelative
Southern
California
as individual
with for
adult
was a trend
FFV
exposure
in adults
to younger
pumas.
Age was asites,
predictor
FFV infection
all sites
also in Colorado
and Southern
California
as was
individual
sites, with
pumas
being at over
greater
risk. and
In Florida
as an individual
site, sex,
not age,
a predictor
of FFV
adult pumas
at greater
risk.
In Florida
infection,
with being
females
being at
greater
risk. as an individual site, sex, not age, was a predictor of FFV
infection, with females being at greater risk.

�Viruses 2019, 11, 359

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Viruses 2019, 11, x FOR PEER REVIEW

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Sex

5

Age

Overall

Sex

Age

Model averaged coefficient

4

Florida

Colorado

3
2
1
0

-1

California

0

0.2

0.4

0.6

0.8

Variable importance

1

1.2

-2
-3
California

Colorado

(A)

Florida

Overall

(B)

Figure 3. Older pumas and female Florida panthers at higher risk of feline foamy virus (FFV) infection.
Figure
3. Older
pumas
and importance
female Florida
panthers
at higher
risk as
ofrisk
feline
foamy
virusshowing
(FFV)
(A)
The plot
displays
variable
weights
for puma
sex or age
factors
for FFV,
infection.
(A) The
plot displays
variable
importance
weights
puma
sex
or age as
risk factors
for
age
to be more
important
in Colorado,
Southern
California
andfor
across
the
sampling
locations
(overall).
FFV,
showing
age
to
be
more
important
in
Colorado,
Southern
California
and
across
the
sampling
(B) The plot displays model averaged coefficients with 95% confidence intervals, with adult and male
locations
(overall).
The
plot displays
model
coefficients
withdid
95%not
confidence
intervals,
being
&gt;0, and
young(B)
and
female
being &lt;0.
If theaveraged
95% confidence
interval
cross 0, the
variable
with
adult
and
male
being
&gt;0,
and
young
and
female
being
&lt;0.
If
the
95%
confidence
interval
did not
was considered important. Females were weakly associated with infection risk in Florida only.
cross 0, the variable was considered important. Females were weakly associated with infection risk in
Table
1. Age
Florida
only.alone as a risk factor for feline foamy virus (FFV) infection produced the best fit model in
Southern California, Colorado and across all sampling locations (overall), while in Florida sex was
the
risk 1.
factor
the best
model.
Models
from
most to the
least
supported
Table
Age that
aloneproduced
as a risk factor
forfitfeline
foamy
viruswere
(FFV)ranked
infection
produced
best
fit modelby
the
in data.
Southern California, Colorado and across all sampling locations (overall), while in Florida sex was
the risk factor that produced the best fit model. Models were ranked from most to least supported by
Model
AIC
∆AIC
Model Weight
the data.
SOUTHERN CALIFORNIA
AIC
Model Weight 0.46
Age Model
63.39 ΔAIC 0.00
Null
64.98
1.59
0.21
SOUTHERN
Sex + Age
65.34
1.94
0.18
CALIFORNIA
Sex
66.7
3.38
0.09
67.34 0.00
3.94
0.06
Sex + Age + Sex*Age
63.39
Age
0.46
COLORADO
1.59
64.98
Null
Age
62.09
0.00 0.21
0.57
1.94
65.34
Sex + Age
Sex + Age
63.87
1.78 0.18
0.23
66.7
Sex
Sex + Age + Sex*Age
64.20 3.38
2.11
0.20
0.09
NullSex + Age +
77.69
15.60
0.00
3.94
67.34
Sex
79.23
17.14 0.06
0.00
Sex*Age
FLORIDA
COLORADO
Sex
111.53
0.00
0.32
Sex + Age + Sex*Age
111.77 0.00
0.24 0.57
0.29
62.09
Age
Sex + Age
112.55
1.02
0.19
63.87
1.78
0.23
Sex + Age
Null
113.77
2.24
0.11
64.20
AgeSex + Age +
114.02 2.11
2.49 0.20
0.09
Sex*Age
OVERALL
Age Null
Sex + Age
Sex
Sex + Age + Sex*Age
Sex
Null

77.69
15.60
0.00
240.22
0.00
79.23
17.14
0.00
240.84
0.62
242.83
2.61
254.40
14.18
256.12
15.90

0.50
0.37
0.14
0.00
0.00

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There was no significant difference in FFV sero-prevalence during (n = 40) and after (n = 85) the
sport hunting ban implemented on the Western Slope of Colorado (Xˆ2: 2.5, p &gt; 0.11).
4. Discussion
This study provides the first broad scale investigation of FFV sero-prevalence in a large,
geographically-dispersed sampling of free-ranging pumas. The high overall puma FFV sero-prevalence
of 78.6% was higher than what had been recorded in domestic cat populations using similar ELISA
assays [5,6]. Reported FFV infection rates in domestic cats have ranged from 30 to 70%, and have varied
across locations and analytical methodology [2,5–7,15]. Although the puma sampling locations have
marked differences in their landscapes and ecology [13] similarly high infection rates were detected in
all populations. This suggests that FFV is readily transmitted across varied landscapes.
While it was not possible to validate this study using sera from known positive and negative
individuals, our stringency for negative and positive values was set using strict criteria [21]. Analysis
of OD values illustrated distinct clustering of positive and negative sample absorbance (Figure 2),
providing confidence that positive values truly reflected actual sero-prevalence. Florida samples were
not as clearly distinguished as Colorado and Southern California samples. Samples from Florida were
typically older and more likely to have been collected under less-than-ideal conditions from autolyzed
animals (i.e., from road kill specimens). While this would typically result in the detection of more false
negatives than false positives (due to degradation of circulating antibodies) it was also possible that
there was higher nonspecific binding in this cohort. While exclusion of positive samples falling below
50% OD values of positive controls would still result in sero-prevalence estimates within the estimated
95% confidence interval in this population, further confirmatory analysis by PCR or other serologic
assay would be warranted.
The significant difference in sero-prevalence between age groups in Colorado and across the
sampled locations suggests that adults have higher exposure to FFV. If adult pumas are at increased risk
of FFV infection, it is necessary to further investigate FFV transmission and the potential for horizontal
transmission between individuals being the dominant mode. The significantly lower sero-prevalence
of FFV in kittens suggests that this age group does not have the same exposure to the virus as adults in
the same populations, supporting horizontal transmission as the primary mode of transmission in
these populations. We recognize the difficult task of sampling family units is needed to fully explore
the possibility of vertical transmission of the virus; however, a future study with this goal could help
to more clearly determine mother to cub transmission events.
This reported high FFV sero-prevalence in adults exceeded the prevalence of most other infectious
agents reported in these populations [13]. Adult pumas are traditionally considered to be solitary
animals with rare documented instances of geographic and temporal overlap [23–25] though recent
behavioral studies have exposed more social interactions between pumas [26]. In either case, inferred
horizontal transmission of FFV resulting in four of five adults being exposed suggests facile transmission
among adults. High FFV sero-prevalence could be explained by the virus maybe being able to survive
on fomites (e.g., carcasses) long enough to infect other pumas without the need for physical contact
between pumas. Further investigation of FFV degradation outside the host is needed to explore
this alternative hypothesis. Further investigation of the virus’ genetic and biological attributes may
provide unique insights into puma behavior and capacity for transmission of other pathogens similar
to Fountain-Jones et al. (2018) [27].
The lack of significant difference in sero-prevalence between sex groups in Southern California,
Colorado and overall is consistent with what we found in domestic cats [28]. This suggests transmission
may be via non-antagonistic intraspecific interactions. Physical contacts during mating or saliva
swapping during kill sharing may be the most likely types of primary transmission events, as there is
no substantial evidence that prolonged amicable physical contact (e.g., grooming) is common between
adults [23,24,26]. A recent report has documented higher FFV loads in saliva versus blood in naturally
infected domestic cats [29], which could suggest a mechanism for puma to puma transmission. Further

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studies of FFV ecology in the endangered and federally protected Florida panther (Puma concolor
coryi) are needed to further our understanding of female sex as a risk factor for FFV infection.
FFV has not been documented to cause acute disease or easily recognized clinical signs of disease
in domestic cats [2,14,30]. However, simian Foamy Virus (SFV) has been associated with accelerated
SIV disease [31] and an association between FFV viral load and exogenous Feline leukemia virus
(FeLV) viremia has been noted [31,32]. Therefore, results from this study can be used to compare
the prevalence of FFV to other retroviruses of pumas such as feline immunodeficiency virus (FIV)
and evaluate possible potentiation of disease. Furthermore, since FFV is a lifelong infection and viral
sequences can be isolated from circulating blood cells, genotypic analysis of puma FFV may be useful
as a marker of animal movement and pathogen transmission within or between populations [33].
Author Contributions: Conceptualization, S.R.K., S.K., and S.V.; data curation, S.R.K.; formal analysis, S.R.K.,
N.D. and S.C.; funding acquisition, S.R.K., N.D., S.C. and S.V.; methodology, C.L.F. and M.L.; project administration,
S.V.; resources, M.R.P., M.C., R.M., S.P.D.R., W.V., K.L., M.A. and K.C.; supervision, C.L.F., S.C. and S.V.;
writing—original draft, S.R.K., N.D. and S.V.; writing—review and editing, S.R.K., N.D., S.K., C.L.F., J.M., M.C.,
S.P.D.R., W.V., K.L., M.A., K.C., M.L., S.C. and S.V.
Funding: Funding and support were provided by Colorado State University, Colorado Parks and Wildlife (CPW),
Boulder County Parks and Open Space, Boulder City Open Space and Mountain Parks, the Bureau of Land
Management, U.S. Forest Service, Arizona State University, University of California at Davis, National Park
Service, California State Parks, the Calabasas Landfill, The Santa Monica Mountains Fund, German Cancer
Research Center, Boehringer Ingelheim, and a grant from the National Science Foundation-Ecology of Infectious
Diseases Program (NSF EF-0723676; EF-1413925).
Conflicts of Interest: The authors declare no conflicts of interest. The funders had no role in the design of the
study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to
publish the results.

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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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