<?xml version="1.0" encoding="UTF-8"?>
<item xmlns="http://omeka.org/schemas/omeka-xml/v5" itemId="397" public="1" featured="0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://omeka.org/schemas/omeka-xml/v5 http://omeka.org/schemas/omeka-xml/v5/omeka-xml-5-0.xsd" uri="https://cpw.cvlcollections.org/items/show/397?output=omeka-xml" accessDate="2026-04-16T19:42:57+00:00">
  <fileContainer>
    <file fileId="618">
      <src>https://cpw.cvlcollections.org/files/original/b8d582b212a90cecc5fd6309ab6ebadd.pdf</src>
      <authentication>35f79b2fa522c43f2ec043fc9b9077c5</authentication>
      <elementSetContainer>
        <elementSet elementSetId="4">
          <name>PDF Text</name>
          <description/>
          <elementContainer>
            <element elementId="92">
              <name>Text</name>
              <description/>
              <elementTextContainer>
                <elementText elementTextId="6676">
                  <text>The research in this publication was partially or fully funded by Colorado Parks and Wildlife.

Heather Disney Dugan, Acting Director, Colorado Parks and Wildlife • Parks and Wildlife Commission: Carrie Besnette Hauser, Chair • Dallas May, ViceChair • Marie Haskett, Secretary • Taishya Adams • Karen Michelle Bailey • Betsy Blecha • Gabriel Otero • Duke Phillips, IV • Richard Reading • James Jay
Tutchton • Eden Vardy

�ORIGINAL RESEARCH
published: 30 August 2021
doi: 10.3389/fevo.2021.734462

Viral Sequences Recovered From
Puma Tooth DNA Reconstruct
Statewide Viral Phylogenies
Roderick B. Gagne 1,2† , Simona Kraberger 3† , Rebekah McMinn 1 , Daryl R. Trumbo 4 ,
Charles R. Anderson Jr. 5 , Ken A. Logan 6 , Mathew W. Alldredge 5 , Karen Griffin 5 and
Sue VandeWoude 1*
1

Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, United States,
Department of Pathobiology, Wildlife Futures Program, University of Pennsylvania School of Veterinary Medicine, Kennett
Square, PA, United States, 3 The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution
and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, United States, 4 Department of Biology,
Colorado State University, Fort Collins, CO, United States, 5 Colorado Parks and Wildlife, Fort Collins, CO, United States,
6
Colorado Parks and Wildlife, Montrose, CO, United States
2

Edited by:
Jonathan J. Fong,
Lingnan University, China
Reviewed by:
Colin Parrish,
Cornell University, United States
Robert Thomson,
University of Hawaii, United States
*Correspondence:
Sue VandeWoude
Sue.Vandewoude@ColoState.EDU
† These

authors have contributed
equally to this work

Specialty section:
This article was submitted to
Phylogenetics, Phylogenomics,
and Systematics,
a section of the journal
Frontiers in Ecology and Evolution
Received: 01 July 2021
Accepted: 02 August 2021
Published: 30 August 2021
Citation:
Gagne RB, Kraberger S,
McMinn R, Trumbo DR,
Anderson CR Jr, Logan KA,
Alldredge MW, Griffin K and
VandeWoude S (2021) Viral
Sequences Recovered From Puma
Tooth DNA Reconstruct Statewide
Viral Phylogenies.
Front. Ecol. Evol. 9:734462.
doi: 10.3389/fevo.2021.734462

Monitoring pathogens in wildlife populations is imperative for effective management,
and for identifying locations for pathogen spillover among wildlife, domestic species
and humans. Wildlife pathogen surveillance is challenging, however, as sampling often
requires the capture of a significant proportion of the population to understand host
pathogen dynamics. To address this challenge, we assessed the ability to use huntercollected teeth from puma across Colorado to recover genetic data of two feline
retroviruses, feline foamy virus (FFV) and feline immunodeficiency virus (FIVpco) and
show they can be utilized for this purpose. Comparative phylogenetic analyses of FIVpco
and FFV from tooth and blood samples to previous analyses conducted with blood
samples collected over a nine-year period from two distinct areas was undertaken
highlighting the value of tooth derived samples. We found less FIVpco phylogeographic
structuring than observed from sampling only two regions and that FFV data confirmed
previous findings of endemic infection, minimal geographic structuring, and supported
frequent cross-species transmission from domestic cats to pumas. Viral analysis
conducted using intentionally collected blood samples required extensive financial,
capture and sampling efforts. This analysis illustrates that viral genomic data can be cost
effectively obtained using tooth samples incidentally-collected from hunter harvested
pumas, taking advantage of samples collected for morphological age identification.
This technique should be considered as an opportunistic method to provide broad
geographic sampling to define viral dynamics more accurately in wildlife.
Keywords: feline foamy virus, feline immunodeficiency virus, mountain lion, cougar, wildlife disease

INTRODUCTION
Diseases of wildlife are increasingly threatening animal populations resulting in negative economic
impacts, the loss of biodiversity, and risk to livestock and human health (Artois et al., 2009; Heard
et al., 2013; Watsa, 2020). In some cases, disease has led to species extinctions (Skerratt et al., 2007;
Heard et al., 2013); for example, the fungal parasite chytridiomycosis is a major contributor to
global amphibian declines where over one third of amphibian species are now threatened or have

Frontiers in Ecology and Evolution | www.frontiersin.org

1

August 2021 | Volume 9 | Article 734462

�Gagne et al.

Viruses From Puma Tooth DNA

recover pathogens from animal teeth remains largely unexplored,
though in humans, pathogen data has been recovered from
dental pulp of corpses (Barbieri et al., 2017). A benefit of
using wildlife tooth samples is that potential to recover genomic
information of pathogens, allowing characterization of pathogen
strains and variants (Fitak et al., 2019). Genomic data from
pathogens can inform their origin, geographic spread, crossspecies transmissions, and host connectivity (Biek et al., 2006;
Baele et al., 2018; Kraberger et al., 2020; Fountain-Jones et al.,
2021). Increasingly, genomic data is used to determine spread
in real time and identify environmental features associated with
pathogen gene-flow (Holmes and Grenfell, 2009; Baele et al.,
2017; Kozakiewicz et al., 2018), further highlighting the utility
of obtaining pathogen genomic data routinely and with minimal
cost from wildlife samples.
Pumas are a widespread large North American felid with
varying management and population statuses that in the
United States run a gamut, from endangered species status
of the Florida panther and special protection in California,
to game animal status in most western states, and complete
lack of protection in Texas (“Non-game, Exotic, Endangered,
Threatened and Protected Species” 2020, “Florida Panther –
Florida Panther – U.S. Fish and Wildlife Service” n.d.). Pumas
are capable of long distance movement (e.g., &gt;1,000 Km over a
lifetime (Hawley et al., 2016) and thus viral genomic signatures
in specific areas may not translate to larger geographic regions.
Infectious diseases have resulted in mortality of threatened puma
populations, including viral spillover from domestic cats (Brown
et al., 2008; Carver et al., 2016; Chiu et al., 2019; Kraberger
et al., 2020). In particular, pumas are infected with several
retroviruses that have been shown to reach high prevalence in
populations, including a puma specific feline immunodeficiency
virus (FIVpco) and feline foamy virus (FFV) (Franklin et al.,
2007a,b; Lee et al., 2017; Kechejian et al., 2019). Assessment of
viral infections of pumas has revealed cross-species transmission
events, landscape features that influence viral structure, and
disease-related die-offs in some populations (Lee et al., 2017;
Chiu et al., 2019; Kraberger et al., 2020; Fountain-Jones et al.,
2021). Genomic variation in FIVpco has been found to be
structured, in part, by geographic location, and specific landscape
features are associated with viral spread (Fountain-Jones et al.,
2021) in contrast, genetic data of FFV has shown a lack of
phylogenetic structure related to geography and instead show
patterns of multiple spillover events from domestic cats to pumas
(Kraberger et al., 2020). The difficulties in obtaining puma
samples suitable for recovering diagnostic and genomic data from
viruses has constrained these studies to a limited number of
distinct geographic areas.
We analyzed DNA from teeth collected from 200 hunterharvested pumas across Colorado to assess the capacity to use
this tissue opportunistically for wildlife disease surveillance. We
asked: (1) can viruses be detected in tooth samples of pumas? (2)
is genomic material recovered of optimal quality for sequence
analysis? and (3) how do viral sequences recovered from puma
teeth inform geographical structure of viruses across the state
compared to prior analyses conducted with active surveillance?
This work illustrates that hunter-harvested samples utilized for

already gone extinct (Cohen, 2003; Skerratt et al., 2007; Wake and
Vredenburg, 2008). In other cases disease results in a major die
off of already endangered populations, such as with Hemorrhagic
septicemia, caused by a bacterial infection, in the endangered
saiga antelope that resulted in the loss of half the remaining
population in only a few weeks (Nicholls, 2015; Kock et al., 2018).
Wildlife diseases have major economic impacts both from the
spillover to domestic animals, such as Brucella from multiple
wildlife species to domestic cattle, or the loss of game species; for
example, chronic wasting disease in ungulates (Bengis et al., 2002;
Wandeler et al., 2003; Bishop, 2004; Gomo et al., 2012; Zimmer
et al., 2012; Kamath et al., 2016). Additionally, the majority of
emerging infectious diseases in humans are a result of spillover
from other animal species (Taylor et al., 2001; Belay et al., 2017).
As a result we have seen a widespread increase in the need for
identifying pathogens present in animal populations, defining
disease dynamics among populations, determining spillover
events, and the development of control strategies to mitigate
disease spread (Artois et al., 2009; Ryser-Degiorgis, 2013; Watsa,
2020).
Wildlife pathogens surveillance is hampered by the difficulty
of sampling a wide variety of species, many of which are elusive
and challenging to capture. Overcoming this roadblock presents
expensive and logistical challenges (Stallknecht, 2007; Watsa,
2020). Active disease surveillance, or the practice of direct sample
collection for pathogen analysis, provides the greatest likelihood
of detecting diseases in the population and limiting biases of data
(Stallknecht, 2007; Artois et al., 2009). This approach is often
costly and requires a significant amount of effort, thus limiting
the number of species, number of animals, and the geographic
area in which information can be collected (Stallknecht, 2007;
Watsa, 2020). Opportunistic sample collection, termed “passive
surveillance” can take advantage of sampling roadkill or other
deceased animals, and presents a cost effective approach that can
help to identify disease outbreaks (Hawkins et al., 2006; Lawson
et al., 2015; Barron et al., 2018), this does however have its own
caveats (Stallknecht, 2007; Santos et al., 2011). Carcasses can be
quickly removed from the environment, via scavengers or other
processes, undergo degradation when carcasses are not sampled
in a timely manner or many carcasses are simply not detected
and reported (Wobeser and Wobeser, 1992; Santos et al., 2011).
In addition, samples often are biased towards animals that have
been killed or are closer to human development (Ryser-Degiorgis,
2013). Hunter-collected sampling offers a promising approach
to disease surveillance, as samples represent a large geographic
representation of animals that can be sampled in a timely manner
post-death (Brook et al., 2009; Lawson et al., 2015). Though
this approach does still harbor some sample biases, for example
favoring larger males (Belsare et al., 2020), disease data obtained
from hunter samples can limit biases, logistical effort and costs.
Tooth samples are often required to be collected and
submitted by hunters or directly collected by the permitting
agency since morphological analyses can reveal age of the animal
which is helpful for population management. Teeth can be
relatively easily collected by trained technicians and sufficient
amounts of DNA can be extracted from them for nucleic acid
based diagnostic testing (Wandeler et al., 2003). The potential to

Frontiers in Ecology and Evolution | www.frontiersin.org

2

August 2021 | Volume 9 | Article 734462

�Gagne et al.

Viruses From Puma Tooth DNA

disease surveillance provide pathogen data that is temporally
linked, well-characterized with respect to individual animal
demography, and spatially distinct.

TABLE 1 | Details of tooth derived FIVpco and FFV sequences from Colorado.
FFV
Lab ID

Field ID

Year

SexID

AgeID

MATERIALS AND METHODS

1

14 442

2013

Male

Adult

2

14 443

2013

Male

Sample Collection and Nucleic Acid
Isolation

3

14 447

2013

4

14 448

2013

5

14 449

In the state of Colorado, hunter-harvested pumas are required to
be reported to Colorado Parks and Wildlife (CPW) in order to
record demographic information. This includes the removal of a
premolar tooth from each individual primarily to estimate the age
for harvest data analyses. DNA was extracted by CPW personnel
as described below promptly after receiving the samples using the
Qiagen DNeasy Blood and Tissue Kit, with a few modifications;
including increased incubation time of 40 min and increased
vortexing to remove tissue from the tooth. Teeth from 200
individual puma harvested between 2013 and 2014 were utilized
in this proof of concept study. Blood samples from puma live
captured between 2005 and 2014 from the Uncompahgre Plateau,
and Front Range, regions of Colorado, United States were used
for comparison (Carver et al., 2016; Kraberger et al., 2020;
Fountain-Jones et al., 2021). Blood was also collected from two
puma from Nevada and one animal from New Mexico. The
Qiagen DNeasy Blood and Tissue Kits were also utilized to
recover nucleic acid from blood samples as per manufacturer’s
instructions and as described in Kraberger et al. (2020) and
Fountain-Jones et al. (2021).

6
7

Screening and Recovery of Viral
Signatures
Tooth Derived Samples
DNA samples were screened by highly sensitive polymerase chain
reaction (PCR) assays for Feline immunodeficiency Virus – Pco
(FIVpco, the puma specific FIV) and feline foamy virus (FFV).
For FIVpco, primers in a conserved region of the vif gene
were used for initial screening (Supplementary Table 1). PCR
products were purified with 5 µL ExoSAP-It (USB, Affymetrix,
Cleveland, OH, United States) and sent to a commercial lab
for Sanger sequencing (GENEWIZ, United States). Samples that
were positive were subjected to PCR to FIVpco env and pol
genes matching the phylogenetic group of recovered vif gene
(Supplementary Table 1). Nested PCR protocols were performed
using Kapa HiFi Hotstart DNA polymerase (Kapa Biosystems,
United States) as per the product protocol and an annealing
temperature based on the primer melting temperature. Given
the low volume availability of DNA and high level of genetic
conservation seen for FFV in felids, we screened all samples
directly for FFV pol and env genes using protocols and primers
previously described. Sequences were recovered, cloned and
sequenced as described below.

Blood Derived Samples
FIVpco and FFV sequence data for the pol and env gene
were collated from blood samples taken from live puma

Frontiers in Ecology and Evolution | www.frontiersin.org

3

FIVpco

Pol

Env

Vif

Adult

X

X

Male

n/a

X

X

X

Male

Adult

X

X

2013

Male

Subadult

X

14 457

2013

Female

Subadult

X

14 468

2013

Male

Adult

X

8

14 479

2013

Male

Adult

X

X

9

14 503

2013

Female

Adult

X

X

10

14 523

2013

Female

Adult

X

X

11

14 760

2013

Male

Subadult

12

14 785

2013

Male

Adult

13

14 858

2013

Female

Subadult

14

14 872

2013

Male

Adult

15

15 1002

2014

Male

Adult

X

16

15 1068

2014

Male

Adult

X

17

15 1070

2014

Male

Adult

X

18

15 1103

2014

Female

Adult

X

19

15 722

2014

Male

Adult

20

15 778

2014

Female

Adult

21

15 798

2014

Male

22

15 820

2014

Male

23

15 822

2014

24

15 893

25

15 908

26

Pol

X

Env
X

X

X

X
X

X

X

X

X

X
X

X

X

X
X
X
X
X

X

X

X

X

Adult

X

X

n/a

X

Male

Adult

X

2014

Male

Adult

X

2014

Male

Adult

X

15 909

2014

Female

Adult

X

X

27

15 915

2014

Male

Adult

X

X

28

15 974

2014

Female

Adult

X

X

29

15 975

2014

Female

Adult

X

X

30

15 979

2014

Female

Subadult

X

X

31

15 980

2014

Female

Adult

32

15 982

2014

Male

Subadult

X

33

14 845

2013

Male

Adult

X

34

14 854

2013

Female

Adult

X

35

14 861

2013

Male

Adult

X

36

14 865

2013

Female

Adult

X

37

14 886

2013

Male

Adult

X

38

15 1037

2014

Male

Adult

X

39

15 1069

2014

Male

Adult

X

40

15 1136

2014

Male

n/a

X

41

15 700

2014

n/a

Subadult

X

42

15 718

2014

Female

Adult

X

43

15 724

2014

Male

Adult

X

44

15 760

2014

Male

Adult

X

45

15 786

2014

Female

Adult

X

46

15 827

2014

Male

n/a

X

47

15 828

2014

Male

Adult

X

48

15 829

2014

Male

Adult

X

49

15 831

2014

Male

Subadult

X

50

15 857

2014

Male

Adult

X

51

15 862

2014

Female

Adult

X

52

15 906

2014

Male

Adult

X

53

15 932

2014

Male

Adult

X

X

X

X

X
X
X
X

X

X
X

August 2021 | Volume 9 | Article 734462

�Gagne et al.

Viruses From Puma Tooth DNA

captured in the Uncompahgre Plateau region, and Front Range,
Colorado, United States. Nucleic acid from blood samples
were screened for the presence of FIVpco as described in
Fountain-Jones et al. (2021). Specific env and pol primers were
utilized (Supplementary Table 2). Nested PCR protocols for
all FIVpco screens were performed using Kapa HiFi Hotstart
DNA polymerase (Kapa Biosystems, United States) as per the
product protocol and an annealing temperature based on the
primer melting temperature. Sequences were recovered, cloned
and sequenced as outline below. Sequence data for pol and/or
env genes of FIVpco isolated from blood of three pumas
collected in Nevada and New Mexico were also analyzed here
(Supplementary Table 1). Env gene of 63 FIVpco-positive puma
samples and 5 pol sequences recovered from these animals,
but not previously described, are included in this analysis
(Supplementary Table 1). FFV pol and env gene sequences used
for phylogenetic analysis were obtained previously (Kraberger
et al., 2020; Supplementary Table 1). CSU and CPW Institutional
Animal Care and Use Committees reviewed and approved
previous live capture work from which samples were included
here (CSU IACUC protocol 05-061A).

RESULTS AND DISCUSSION
Detection of FIVpco and FFV in Tooth
Samples
A total of 200 samples were screened for two endemic feline
retroviruses previously described in Colorado pumas, FIVpco
and FFV (Kraberger et al., 2020; Fountain-Jones et al., 2021).
Given the limited amount of DNA available for analysis, we
undertook an initial screen using a highly conserved region in
the FIVpco vif gene. Forty-six of the 200 samples (23%) were
PCR positive and were confirmed by sanger sequencing (Table 1).
Based on phylogenetically determined genetic groupings of the
vif gene from each of the positive samples, we screened for the
pol and env genes. We successfully cloned and sequence the pol
gene regions from 7/46 (15%) samples and the env gene regions
from 17/46 (37%) samples.
The FFV genome is highly conserved and considering the low
DNA volume available for recovery of viruses, we screened for the
presence of FFV using pol and env PCR. This resulted in 14 out
of 200 samples (7%) detected as positive for FFV. Pol sequences
were recovered from 9/14 (64%) and env gene sequences were
recovered from 12/14 (85%). Both gene sequences were isolated
from 7/14 (50%) (Table 1). For seven of these samples, we were
able to isolate both genes. Of these seven samples, we were able
to detect and sequence at least one gene region from FIVpco and
FFV each virus showing they were coinfected.
We detected FFV in seven percent of the tooth samples, in
comparison previous evaluation of other pumas from Colorado
detected FFV in 61% (qPCR, detection of viral genome) or
77% (ELISA, detection of antibodies) (Kechejian et al., 2019;
Dannemiller et al., 2020). We detected FIVpco in 23% of the
tooth samples, which was closer to the 48% detected via qPCR
from other Colorado puma blood samples (Fountain-Jones et al.,
2021). This indicates that while this technique was invaluable
for evaluation of viral phylogeny across the landscape, it may
underestimate disease prevalence, however, screening with a
highly sensitive qPCR approach, which targets small genetic
regions, may help to mitigate this. Our goal in this study was
to identify viral genomes, which required us to utilize PCR to
achieve longer amplicons than qPCR, so these analyses are not
head-to-head comparisons. The tooth samples likely had viral
degradation, given the nature of the sample. Some degradation
of these samples is supported by our ability to detect a larger
number of FIVpco positives from the vif screen targeting a
shorter portion of the sequence (∼400 bp) than from longer
regions from the env (∼2,500 bp) or pol (∼3,500 bp) regions.

Recovery, Cloning and Sequencing of Viral DNA
Sequences
Polymerase chain reaction products were run on 0.7% agarose
gels, amplicons were excised, purified, and cloned using pJET
1.2 vector (Thermo Fisher Scientific, United States) and XL blue
Escherichia coli competent cells. Plasmids with viral sequences
were purified and Sanger sequenced at GENEWIZ (USA).
Forward and reverse reads were assembled, trimmed, and
checked using Geneious V7.0.6 (“Geneious” 2019).

Recombination Analyses and Construction of
Recombination-Free Phylogenies
Datasets of sequences for the env and pol of FIVpco and
FFV were compiled from samples recovered in this study from
teeth, in previous studies using blood (Kraberger et al., 2020;
Fountain-Jones et al., 2021), and an additional representative
subset of those available in GenBank. These datasets were aligned
using MUSCLE (Edgar, 2004), and recombination analyses were
performed using RDP (v5.5) (Martin et al., 2015). Automask was
implemented for similar sequences and events were considered
credible if they were detected by three or more methods
with p-values &lt; 0.05, coupled with phylogenetic support.
Recombination-free datasets were used to construct maximum
likelihood phylogenies for each of the datasets with RaxML using
RDP (Martin et al., 2015).

Phylogenetic Patterns of FIVpco and FFV
From Statewide Tooth Samples
Genetic signatures of viruses help us to understand transmission
dynamics, allow inferences about host connectivity on the
landscape and assist in identifying variants. Previous analyses of
blood-derived FIVpco genetic sequences from pumas captured
in the Uncompahgre Plateau and Front Range region of
Colorado are phylogenetic structured by location (Lee et al., 2014;
Fountain-Jones et al., 2021). Conversely, FFV, due to its lower

Geographic Groupings
Samples were grouped into four identifier geographic clusters
based on the major potential barriers to movement. The
continental divide represented north to south barrier, and
Interstate 70 highway represented east to west barrier. Sections
were designated northwest, northeast, southwest and southeast.

Frontiers in Ecology and Evolution | www.frontiersin.org

4

August 2021 | Volume 9 | Article 734462

�Gagne et al.

Viruses From Puma Tooth DNA

Pol

0

50

100

200 Km

27 52
26

42

18

40

15

11

15

FIVpco- blood

NE

NW

FIVpco- teeth

25

Major highways
Continental divide

36
37
30
29 28
41

25

8
44

24

Bootstrap branch
support
&gt;60-80
&gt;80-90
&gt;90-100

Region
NE, CO
SE, CO
NW, CO
SW, CO

32
31 43
19
4
38

0.03 nucleotide subs/site
53

3

51

16
13
18
11

23

Wyoming
Montana
Nevada
New Mexico

20

50

22 46
54 47
34 45
35
33 21 48
39
49

SW

17 1

SE

13
23
4

Env

1

21
22 17

20

30
25

27

26
16 13
32
29
28

0.04 nucleotide subs/site

24
4 19

FIGURE 1 | FIVpco from statewide tooth samples support host connectivity across the state. Recombination-free maximum likelihood phylogenies of the pol and
env gene regions from FIVpco recovered from statewide puma tooth samples (denoted by the host ID number) and blood samples from Colorado and neighboring
states. Key and color bar next to the phylogeny shows the region or state from which the sequences were collected. Map of Colorado indicates location of samples
for which genetic sequence(s) of FIVpco have been recovered in this or previous studies (Lee et al., 2014; Fountain-Jones et al., 2021). Blood sample analysis is
illustrated by white triangles and viral sequences extracted from teeth are designated by circles. Regions designated correspond to state by the Interstate 70 and
continental divide.

north east, south west and south east based upon impermeable
landscape features (Figures 1, 2). Neither the continental divide
nor Interstate 70 influenced viral phylogenies. FFV phylogenies
showed little geographic structuring for either pol and env genes.
FFV clustering occurred across several clades with puma and
domestic cat isolates. The FIVpco phylogeny, however, does still
show geographic structuring with clades composed of sequences
predominantly from one region (Figure 1). FIVpco sequences
from pumas captured in Nevada and New Mexico clustered
most closely with those from southern Colorado and Wyoming,
forming distinct clades.

mutation rate, higher prevalence in pumas, and ability to infect
domestic cats and pumas, does not show differ between these two
sites (Kraberger et al., 2020). Previous analyses offered a limited
view of Colorado puma viral phylogeny since it evaluated puma
“populations” in geographically distinct (∼300 km apart) regions
separated by the continental divide and a four-lane interstate
highway (I-70). Viral tooth samples from hunter-collected pumas
provide an opportunity to examine a broadly representative viral
population distributed more evenly across the state across a larger
geographic range. Additionally, assessment of tooth samples
afforded the ability to analyze samples collected at a similar
time. Recombination-free phylogenies of all FIVpco (puma env
and pol sequences from Colorado and surrounding states) and
FFV (env and pol sequences from pumas captured in Colorado
and domestic cats from Colorado, as well as the broader US
and globally) were generated and mapped to show sampling
location of tooth and blood derived samples (Figures 1, 2).
Four identifier geographic clusters were designated north west,

Frontiers in Ecology and Evolution | www.frontiersin.org

CONCLUSION
Mitigation and control of wildlife disease is an increasingly
important component of wildlife management. Hunter-harvested
samples can be an important component of surveillance

5

August 2021 | Volume 9 | Article 734462

�Gagne et al.

Viruses From Puma Tooth DNA

Env

Pol

0

50

100

200 Km

FFV - blood

NE

31

NW

FFV - teeth
Major highways

27

Continental divide
7

6!
_
10

3

91 7
29

4

5
14
_
31

10

8 _ 12

_
4

_
6
!(

2
6

0.03 nucleotide
subs/site

12

_
2

4

_
3

_
20

SE

SW
9

Region
NE, CO
SE, CO
NW, CO
SW, CO

10

Domestic cat US/international
Domestic cat US

8
2

14

5
8
14

3

Bootstrap branch
support

3
20

&gt;60-80
&gt;80-90
&gt;90-100

27
7

9

0.006 nucleotide subs/site

0.03 nucleotide subs/site

FIGURE 2 | Phylogeny supports FFV is endemic in the Colorado puma population. Recombination-free maximum likelihood phylogenies of FFV pol and env gene
regions isolated from statewide puma tooth samples (denoted by the host ID number), and blood samples from Colorado puma and domestic cats. FFV from Puma
and cats from US states and domestic cats globally were additionally sourced. Key and color bar next to the phylogeny shows the region or state, and host, from
which the sequences were collected. Map of Colorado highlights location of samples for which genetic sequence(s) of FFV have been recovered in this or previous
studies (Kraberger et al., 2020). Blood sample analysis is illustrated by white triangles and viral sequences extracted from teeth are designated by circles. Regions
designated correspond to state by the Interstate 70 and continental divide.

could be enhanced by targeting smaller regions of amplification.
A comparison of tooth DNA and paired blood or lymphoid
samples is required to truly compare sensitivity and specificity
of both methods.
Feline immunodeficiency virus and feline foamy virus
sequences isolated from tooth samples supported limited
geographic structuring of retroviral infections of Colorado pumas
across the state. FIVpco had more indication of geographic
structuring than FFV, likely a result of the frequent cross-species
transmission of FFV from domestic cats into pumas and low
mutation rate (Kraberger et al., 2020). Phylogenies of FIVpco
revealed individuals from the same geographic region tended
to cluster together, consistent with previous results showing
that in certain regions, spatial proximity was associated with
spread of FIVpco (Fountain-Jones et al., 2021). The absence of
clear geographic clusters indicates signals of phylogeographic
clustering may dissipate with finer scale sampling efforts. These
findings illustrate that Interstate 70, which bisects the state

programs, and we demonstrate that hunter-collected teeth can
not only determine infection status but permit the recovery
of viral genetic information. Our results indicate that DNA
extracted from teeth of wildlife is suitable for amplification of
pathogen genomic sequences. This approach can be used to
augment other sampling efforts to better inform the geographic
structuring of viruses, and potentially other pathogens, at large
spatial scales. The recovery of viral sequencing data from huntercollected puma teeth demonstrate the utility of these samples to
inform pathogen spread in harvested animals.
Few studies have evaluated presence of viruses from tooth
samples, though both FIV and FFV infections of domestic cats
are thought to be transmitted by bite wounds and thus can
be detected in saliva (Miller et al., 2017; Cavalcante et al.,
2018). Because viral infection may not be readily detected
in the oral cavity, this methodology may not be suitable for
evaluation of all pathogens (Bedarida et al., 2011; Siravenha et al.,
2016). The ability to use tooth collected samples for diagnostics

Frontiers in Ecology and Evolution | www.frontiersin.org

6

August 2021 | Volume 9 | Article 734462

�Gagne et al.

Viruses From Puma Tooth DNA

into northern and southern regions, and the continental divide,
which bisects the state into eastern and western regions, were
not impermeable to viral transmission. This is consistent with
previous reports that high elevation ridgelines did not limit viral
spread (Fountain-Jones et al., 2021) but in contrast to reduced
geneflow noted across the continental divide, attributed to the
fact that pumas avoid high ridgelines and alpine environments
(Sweanor et al., 2000; Gustafson et al., 2019; Trumbo et al., 2019).
Additionally, Interstate 70 did not have an apparent effect on
viral structuring.
These results support the potential for genomes from rapidly
evolving viral genomics to inform host connectivity more so
than the genetics of the animals itself (Biek et al., 2006; Gagne
et al., 2021). The results mirror studies evaluating interstate
barriers to bobcat gene flow compared to FIVlru phylogeny, that
illustrated Southern Californian interstates are more permeable
to viral transmission than host gene flow (Lee et al., 2012; Ernest
et al., 2014; Kozakiewicz et al., 2019, 2020). Because host genetic
identities reflect dispersal related to reproductive events, it is less
temporally sensitive than viral phylogeography, given the high
evolutionary rates of viruses (Richardson et al., 2016; Gagne et al.,
2021).
The addition of viral sequences from tooth samples
demonstrated that potential geographic barriers (i.e., continental
divide, major highways) did not appear to limit the spread
of viruses in Colorado pumas. Our findings have important
implications for puma population health should more virulent
viruses, such as FeLV, arise in Colorado puma populations
(Chiu et al., 2019). Further, this work illustrates a novel
method for informing apex predator movement and may inform
management of predator and prey populations. While additional
validation is needed to determine the potential of tooth samples
for diagnostic work that demonstrates pathogen prevalence,
this work illustrates the benefits of incidentally-collected tooth
samples as a tool for wildlife disease surveillance.

ETHICS STATEMENT

DATA AVAILABILITY STATEMENT

Supplementary Table 1 | Details of blood derived FIVpco and FFV sequences
from Colorado, New Mexico and Nevada. Those highlighted in red were recovered
as part of this study.

We handled all pumas in accordance with approved CPW
Animal Care and Use Committee (ACUC) capture and handling
protocols (ACUC file #08-2004, ACUC protocol #03-2007 ACUC
16-2008). Samples were provided to Colorado State University for
diagnostic evaluation. Colorado State University and Colorado
Parks and Wildlife (CPW) Institutional Animal Care and Use
Committees reviewed and approved this work prior to initiation
(CSU IACUC protocol 05-061A).

AUTHOR CONTRIBUTIONS
SK, SV, MA, and CA conceived the project. MA, KL, and CA
conducted the field sampling and collections. SK, RG, RM, and
KG performed the laboratory work. SK, RG, and DT analyzed
the data. SK, RG, and SV wrote the manuscript. All authors
contributed to the article and approved the submitted version.

FUNDING
This study was supported by NSF-EEID award 1413925.

ACKNOWLEDGMENTS
We thank wildlife managers, veterinarians, and support staff at
Colorado Parks and Wildlife Service. We also thank the members
of the SV Research Group for valuable feedback on this work.

SUPPLEMENTARY MATERIAL
The Supplementary Material for this article can be found
online at: https://www.frontiersin.org/articles/10.3389/fevo.2021.
734462/full#supplementary-material

All sequence data has been uploaded to Genbank, NCBI
(accession: MZ398368-MZ398467).

Supplementary Table 2 | Primers utilized to recover FIVpco and FFV sequences.

REFERENCES

Barron, E. S., Swift, B., Chantrey, J., Christley, R., Gardner, R., Jewell, C., et al.
(2018). A study of tuberculosis in road traffic-killed badgers on the edge of the
British bovine TB epidemic area. Sci. Rep. 8, 1–8.
Bedarida, S., Dutour, O., Buzhilova, A. P., de Micco, P., and Biagini, P. (2011).
Identification of viral DNA (Anelloviridae) in a 200-year-old dental pulp sample
(Napoleon’s Great Army. Kaliningrad, 1812). Infect. Genet. Evol. 11, 358–362.
doi: 10.1016/j.meegid.2010.11.007
Belay, E. D., Kile, J. C., Hall, A. J., Barton-Behravesh, C., Parsons, M. B., Salyer, S.,
et al. (2017). Zoonotic disease programs for enhancing global health security.
Emerg. Infect. Dis. 23:S65.
Belsare, A. V., Gompper, M. E., Keller, B., Sumners, J., Hansen, L., and
Millspaugh, J. J. (2020). An agent-based framework for improving wildlife
disease surveillance: A case study of chronic wasting disease in Missouri whitetailed deer. Ecol. Model. 417:108919. doi: 10.1016/j.ecolmodel.2019.108919

Artois, M., Bengis, R., Delahay, R. J., Duchêne, M.-J., Duff, J. P., Ferroglio, E., et al.
(2009). Wildlife disease surveillance and monitoring. Manag. Dis. Wild Mamm.
2009, 187–213.
Baele, G., Dellicour, S., Suchard, M. A., Lemey, P., and Vrancken, B. (2018). Recent
advances in computational phylodynamics. Curr. Opin. Virol. 31, 24–32. doi:
10.1016/j.coviro.2018.08.009
Baele, G., Suchard, M. A., Rambaut, A., and Lemey, P. (2017). Emerging concepts
of data integration in pathogen phylodynamics. Syst. Biol. 66, e47–e65.
Barbieri, R., Mekni, R., Levasseur, A., Chabrière, E., Signoli, M., Tzortzis,
S., et al. (2017). Paleoproteomics of the Dental Pulp: The plague
paradigm. PLoS One 12:e0180552. doi: 10.1371/journal.pone.018
0552

Frontiers in Ecology and Evolution | www.frontiersin.org

7

August 2021 | Volume 9 | Article 734462

�Gagne et al.

Viruses From Puma Tooth DNA

Bengis, R., Kock, R., and Fischer, J. (2002). Infectious animal diseases: the
wildlife/livestock interface. Rev. Sci. Tech. Int. Off. Epizoot. 21, 53–65. doi:
10.20506/rst.21.1.1322
Biek, R., Drummond, A. J., and Poss, M. (2006). A virus reveals population
structure and recent demographic history of its carnivore host. Science 311,
538–541. doi: 10.1126/science.1121360
Bishop, R. C. (2004). The economic impacts of chronic wasting disease (CWD) in
Wisconsin. Hum. Dimens. Wildl. 9, 181–192. doi: 10.1080/10871200490479963
Brook, R. K., Kutz, S. J., Veitch, A. M., Popko, R. A., Elkin, B. T., and Guthrie, G.
(2009). Fostering community-based wildlife health monitoring and research in
the Canadian North. EcoHealth 6, 266–278. doi: 10.1007/s10393-009-0256-7
Brown, M. A., Cunningham, M. W., Roca, A. L., Troyer, J. L., Johnson, W. E.,
and O’Brien, S. J. (2008). Genetic characterization of feline leukemia virus from
Florida panthers. Emerg. Infect. Dis. 14:252. doi: 10.3201/eid1402.070981
Carver, S., Bevins, S. N., Lappin, M. R., Boydston, E. E., Lyren, L. M., Alldredge, M.,
et al. (2016). Pathogen exposure varies widely among sympatric populations
of wild and domestic felids across the United States. Ecol. Appl. 26, 367–381.
doi: 10.1890/15-0445
Cavalcante, L. T., Muniz, C. P., Jia, H., Augusto, A. M., Troccoli, F., Medeiros,
S., et al. (2018). Clinical and molecular features of feline foamy virus and
feline leukemia virus co-infection in naturally-infected cats. Viruses 10:702.
doi: 10.3390/v10120702
Chiu, E. S., Kraberger, S., Cunningham, M., Cusack, L., Roelke, M., and
VandeWoude, S. (2019). Multiple Introductions of Domestic Cat Feline
Leukemia Virus in Endangered Florida Panthers. Emerg. Infect. Dis. 25:92.
doi: 10.3201/eid2501.181347
Cohen, J. E. (2003). Human population: the next half century. Science 302, 1172–
1175. doi: 10.1126/science.1088665
Dannemiller, N. G., Kechejian, S., Kraberger, S., Logan, K., Alldredge, M., Crooks,
K. R., et al. (2020). Diagnostic Uncertainty and the epidemiology of feline foamy
Virus in pumas (Puma concolor). Sci. Rep. 10, 1–7.
Edgar, R. C. (2004). MUSCLE: multiple sequence alignment with high accuracy and
high throughput. Nucleic Acids Res. 32, 1792–1797. doi: 10.1093/nar/gkh340
Ernest, H. B., Vickers, T. W., Morrison, S. A., Buchalski, M. R., and Boyce, W. M.
(2014). Fractured genetic connectivity threatens a southern California puma
(Puma concolor) population. PLoS One 9:e107985. doi: 10.1371/journal.pone.
0107985
Fitak, R. R., Antonides, J. D., Baitchman, E. J., Bonaccorso, E., Braun, J., Kubiski,
S., et al. (2019). The expectations and challenges of wildlife disease research in
the era of genomics: forecasting with a horizon scan-like exercise. J. Hered. 110,
261–274. doi: 10.1093/jhered/esz001
Fountain-Jones, N. M., Kraberger, S., Gagne, R. B., Trumbo, D. R., Salerno, P. E.,
Chris Funk, W., et al. (2021). Host relatedness and landscape connectivity shape
pathogen spread in the puma, a large secretive carnivore. Commun. Biol. 4:12.
doi: 10.1038/s42003-020-01548-2
Franklin, S. P., Troyer, J. L., Terwee, J. A., Lyren, L. M., Boyce, W. M., Riley, S., et al.
(2007a). Frequent transmission of immunodeficiency viruses among bobcats
and pumas. J. Virol. 81, 10961–10969. doi: 10.1128/jvi.00997-07
Franklin, S. P., Troyer, J. L., TerWee, J. A., Lyren, L. M., Kays, R. W., Riley, S. P.,
et al. (2007b). Variability in assays used for detection of lentiviral infection
in bobcats (Lynx rufus), pumas (Puma concolor), and ocelots (Leopardus
pardalis). J. Wildl. Dis. 43, 700–710. doi: 10.7589/0090-3558-43.4.700
Gagne, R. B., Crooks, K., Craft, M. E., Chiu, E. S., Fountain-Jones, N. M.,
Malmberg, J. L., et al. (2021). Parasites as conservation tools. Conserv. Biol.
2021:13719.
Gomo, C., de Garine-Wichatitsky, M., Caron, A., and Pfukenyi, D. M. (2012).
Survey of brucellosis at the wildlife–livestock interface on the Zimbabwean side
of the Great Limpopo Transfrontier Conservation Area. Trop. Anim. Health
Prod. 44, 77–85. doi: 10.1007/s11250-011-9890-5
Gustafson, K. D., Gagne, R. B., Vickers, T. W., Riley, S. P. D., Wilmers, C. C., Bleich,
V. C., et al. (2019). Genetic source-sink dynamics among naturally structured
and anthropogenically fragmented puma populations. Conserv. Genet. 20, 215–
227. doi: 10.1007/s10592-018-1125-0
Hawkins, C. E., Baars, C., Hesterman, H., Hocking, G. J., Jones, M. E., Lazenby, B.,
et al. (2006). Emerging disease and population decline of an island endemic,
the Tasmanian devil Sarcophilus harrisii. Biol. Conserv. 131, 307–324. doi:
10.1016/j.biocon.2006.04.010

Frontiers in Ecology and Evolution | www.frontiersin.org

Hawley, J. E., Rego, P. W., Wydeven, A. P., Schwartz, M. K., Viner, T. C., Kays,
R., et al. (2016). Long-distance dispersal of a subadult male cougar from
South Dakota to Connecticut documented with DNA evidence. J. Mammal. 97,
1435–1440. doi: 10.1093/jmammal/gyw088
Heard, M. J., Smith, K. F., Ripp, K., Berger, M., Chen, J., Dittmeier, J., et al. (2013).
Increased threat of disease as species move towards extinction. Conserv. Biol. J.
Soc. Conserv. Biol. 27:1378. doi: 10.1111/cobi.12143
Holmes, E. C., and Grenfell, B. T. (2009). Discovering the phylodynamics of RNA
viruses. PLoS Comput. Biol. 5:e1000505. doi: 10.1371/journal.pcbi.1000505
Kamath, P. L., Foster, J. T., Drees, K. P., Luikart, G., Quance, C., Anderson,
N. J., et al. (2016). Genomics reveals historic and contemporary transmission
dynamics of a bacterial disease among wildlife and livestock. Nat. Commun. 7,
1–10. doi: 10.1038/ncomms11448
Kechejian, S. R., Dannemiller, N., Kraberger, S., Ledesma-Feliciano, C., Malmberg,
J., Roelke Parker, M., et al. (2019). Feline Foamy Virus is Highly Prevalent in
Free-Ranging Puma concolor from Colorado. Florida and Southern California.
Viruses 11:359. doi: 10.3390/v11040359
Kock, R. A., Orynbayev, M., Robinson, S., Zuther, S., Singh, N. J., Beauvais, W., et al.
(2018). Saigas on the brink: Multidisciplinary analysis of the factors influencing
mass mortality events. Sci. Adv. 4:eaao2314. doi: 10.1126/sciadv.aao2314
Kozakiewicz, C. P., Burridge, C. P., Funk, W. C., Craft, M. E., Crooks, K. R., Fisher,
R. N., et al. (2020). Does the virus cross the road? Viral phylogeographic patterns
among bobcat populations reflect a history of urban development. Evol. Appl.
2020:12927.
Kozakiewicz, C. P., Burridge, C. P., Funk, W. C., Salerno, P. E., Trumbo, D. R.,
Gagne, R. B., et al. (2019). Urbanization reduces genetic connectivity in bobcats
(Lynx rufus) at both intra−and inter−population spatial scales. Mol. Ecol.
28:15274.
Kozakiewicz, C. P., Burridge, C. P., Funk, W. C., VandeWoude, S., Craft, M. E.,
Crooks, K. R., et al. (2018). Pathogens in space: advancing understanding of
pathogen dynamics and disease ecology through landscape genetics. Evol. Appl.
11, 1763–1778. doi: 10.1111/eva.12678
Kraberger, S., Fountain-Jones, N. M., Gagne, R. B., Malmberg, J., Dannemiller,
N. G., Logan, K., et al. (2020). Frequent cross-species transmissions of foamy
virus between domestic and wild felids. Virus Evol. 6:vez058.
Lawson, B., Petrovan, S. O., and Cunningham, A. A. (2015). Citizen science and
wildlife disease surveillance. EcoHealth 12, 693–702. doi: 10.1007/s10393-0151054-z
Lee, J. S., Bevins, S. N., Serieys, L. E., Vickers, W., Logan, K. A., Aldredge, M., et al.
(2014). Evolution of puma lentivirus in bobcats (Lynx rufus) and mountain
lions (Puma concolor) in North America. J. Virol. 88, 7727–7737. doi: 10.1128/
jvi.00473-14
Lee, J. S., Ruell, E. W., Boydston, E. E., Lyren, L. M., Alonso, R. S., Troyer, J. L., et al.
(2012). Gene flow and pathogen transmission among bobcats (Lynx rufus) in a
fragmented urban landscape. Mol. Ecol. 21, 1617–1631. doi: 10.1111/j.1365294x.2012.05493.x
Lee, J., Malmberg, J. L., Wood, B. A., Hladky, S., Troyer, R., Roelke, M., et al.
(2017). Feline immunodeficiency virus cross-species transmission: implications
for emergence of new lentiviral infections. J. Virol. 91, e2116–e2134.
Martin, D. P., Murrell, B., Golden, M., Khoosal, A., and Muhire, B. (2015). RDP4:
Detection and analysis of recombination patterns in virus genomes. Virus Evol.
2015:1.
Miller, C., Boegler, K., Carver, S., MacMillan, M., Bielefeldt-Ohmann, H., and
VandeWoude, S. (2017). Pathogenesis of oral FIV infection. PLoS One
12:e0185138. doi: 10.1371/journal.pone.0185138
Nicholls, H. (2015). Mysterious die-off sparks race to save Saiga antelope. Nat. News
2015:17675.
Richardson, J. L., Brady, S. P., Wang, I. J., and Spear, S. F. (2016). Navigating
the pitfalls and promise of landscape genetics. Mol. Ecol. 25, 849–863. doi:
10.1111/mec.13527
Ryser-Degiorgis, M.-P. (2013). Wildlife health investigations: needs, challenges and
recommendations. BMC Vet. Res. 9, 1–17. doi: 10.1186/1746-6148-9-223
Santos, S. M., Carvalho, F., and Mira, A. (2011). How long do the dead survive
on the road? Carcass persistence probability and implications for road-kill
monitoring surveys. PLoS One 6:e25383. doi: 10.1371/journal.pone.0025383
Siravenha, L. G., Siravenha, L. Q., Madeira, L. D. P., Oliveira-Filho, A. B., Machado,
L. F. A., Martins Feitosa, R. N., et al. (2016). Detection of HCV persistent

8

August 2021 | Volume 9 | Article 734462

�Gagne et al.

Viruses From Puma Tooth DNA

infections in the dental pulp: a novel approach for the detection of past and
ancient infections. PLoS One 11:e0165272. doi: 10.1371/journal.pone.0165272
Skerratt, L. F., Berger, L., Speare, R., Cashins, S., McDonald, K. R., Phillott, A. D.,
et al. (2007). Spread of chytridiomycosis has caused the rapid global decline and
extinction of frogs. EcoHealth 4, 125–134.
Stallknecht, D. (2007). Impediments to wildlife disease surveillance, research, and
diagnostics. Wildl. Emerg. Zoonotic Dis. Biol. Circumst. 2007, 445–461. doi:
10.1007/978-3-540-70962-6_17
Sweanor, L. L., Logan, K. A., and Hornocker, M. G. (2000). Cougar dispersal
patterns, metapopulation dynamics, and conservation. Conserv. Biol. 14, 798–
808. doi: 10.1046/j.1523-1739.2000.99079.x
Taylor, L. H., Latham, S. M., and Woolhouse, M. E. (2001). Risk factors for human
disease emergence. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 356, 983–989.
Trumbo, D. R., Salerno, P. E., Logan, K. A., Alldredge, M. W., Gagne, R. B.,
Kozakiewicz, C. P., et al. (2019). Urbanization impacts apex predator gene flow
but not genetic diversity across an urban-rural divide. Mol. Ecol. 28, 4926–4940.
doi: 10.1111/mec.15261
Wake, D. B., and Vredenburg, V. T. (2008). Are we in the midst of the sixth mass
extinction? A view from the world of amphibians. Proc. Natl. Acad. Sci. U.S.A.
105, 11466–11473. doi: 10.1073/pnas.0801921105
Wandeler, P., Smith, S., Morin, P. A., Pettifor, R., and Funk, S. (2003). Patterns of
nuclear DNA degeneration over time—a case study in historic teeth samples.
Mol. Ecol. 12, 1087–1093. doi: 10.1046/j.1365-294x.2003.01807.x
Watsa, M. (2020). Rigorous wildlife disease surveillance. Science 369, 145–147.
doi: 10.1126/science.abc0017

Frontiers in Ecology and Evolution | www.frontiersin.org

Wobeser, G., and Wobeser, A. G. (1992). Carcass disappearance and estimation
of mortality in a simulated die-off of small birds. J. Wildl. Dis. 28, 548–554.
doi: 10.7589/0090-3558-28.4.548
Zimmer, N. M., Boxall, P. C., and Adamowicz, W. L. (2012). The impacts of
chronic wasting disease and its management on recreational hunters. Can.
J. Agric. Econ. Can. Agroeconomie 60, 71–92. doi: 10.1111/j.1744-7976.2011.
01232.x
Conflict of Interest: The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could be construed as a
potential conflict of interest.
Publisher’s Note: All claims expressed in this article are solely those of the authors
and do not necessarily represent those of their affiliated organizations, or those of
the publisher, the editors and the reviewers. Any product that may be evaluated in
this article, or claim that may be made by its manufacturer, is not guaranteed or
endorsed by the publisher.
Copyright © 2021 Gagne, Kraberger, McMinn, Trumbo, Anderson, Logan, Alldredge,
Griffin and Vandewoude. This is an open-access article distributed under the terms
of the Creative Commons Attribution License (CC BY). The use, distribution or
reproduction in other forums is permitted, provided the original author(s) and the
copyright owner(s) are credited and that the original publication in this journal
is cited, in accordance with accepted academic practice. No use, distribution or
reproduction is permitted which does not comply with these terms.

9

August 2021 | Volume 9 | Article 734462

�</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </file>
  </fileContainer>
  <collection collectionId="2">
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="479">
                <text>Journal Articles</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="7018">
                <text>CPW peer-reviewed journal publications</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </collection>
  <itemType itemTypeId="1">
    <name>Text</name>
    <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
  </itemType>
  <elementSetContainer>
    <elementSet elementSetId="1">
      <name>Dublin Core</name>
      <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
      <elementContainer>
        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6658">
              <text>Viral sequences recovered from puma tooth DNA reconstruct statewide viral phylogenies</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="41">
          <name>Description</name>
          <description>An account of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6659">
              <text>Monitoring pathogens in wildlife populations is imperative for effective management, and for identifying locations for pathogen spillover among wildlife, domestic species and humans. Wildlife pathogen surveillance is challenging, however, as sampling often requires the capture of a significant proportion of the population to understand host pathogen dynamics. To address this challenge, we assessed the ability to use huntercollected teeth from puma across Colorado to recover genetic data of two feline retroviruses, feline foamy virus (FFV) and feline immunodeficiency virus (FIVpco) and show they can be utilized for this purpose. Comparative phylogenetic analyses of FIVpco and FFV from tooth and blood samples to previous analyses conducted with blood samples collected over a nine-year period from two distinct areas was undertaken highlighting the value of tooth derived samples. We found less FIVpco phylogeographic structuring than observed from sampling only two regions and that FFV data confirmed previous findings of endemic infection, minimal geographic structuring, and supported frequent cross-species transmission from domestic cats to pumas. Viral analysis conducted using intentionally collected blood samples required extensive financial, capture and sampling efforts. This analysis illustrates that viral genomic data can be cost effectively obtained using tooth samples incidentally-collected from hunter harvested pumas, taking advantage of samples collected for morphological age identification. This technique should be considered as an opportunistic method to provide broad geographic sampling to define viral dynamics more accurately in wildlife</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="80">
          <name>Bibliographic Citation</name>
          <description>A bibliographic reference for the resource. Recommended practice is to include sufficient bibliographic detail to identify the resource as unambiguously as possible.</description>
          <elementTextContainer>
            <elementText elementTextId="6660">
              <text>Gagne, R. B., S., Kraberger, R. McMinn, D. R. Trumbo, C. R. Anderson Jr, K. A. Logan, M. W. Alldredge, K. Griffin, and S. VandeWoude. 2021. Viral sequences recovered from puma tooth DNA reconstruct statewide viral phylogenies. Frontiers in Ecology and Evolution 9:734462. doi: 10.3389/fevo.2021.734462</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="39">
          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6661">
              <text>Gagne, Roderick B.</text>
            </elementText>
            <elementText elementTextId="6662">
              <text>Kraberger, Simona</text>
            </elementText>
            <elementText elementTextId="6663">
              <text>McMinn, Rebekah</text>
            </elementText>
            <elementText elementTextId="6664">
              <text>Trumbo, Daryl R.</text>
            </elementText>
            <elementText elementTextId="6665">
              <text>Anderson, Jr, Charles R.</text>
            </elementText>
            <elementText elementTextId="6666">
              <text>Logan, Ken A. </text>
            </elementText>
            <elementText elementTextId="6667">
              <text>Alldredge, Mathew W.</text>
            </elementText>
            <elementText elementTextId="6668">
              <text>Griffin, Karen</text>
            </elementText>
            <elementText elementTextId="6669">
              <text>VandeWoude, Sue</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="49">
          <name>Subject</name>
          <description>The topic of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6670">
              <text>Feline foamy virus</text>
            </elementText>
            <elementText elementTextId="6671">
              <text>Feline immunodeficiency virus</text>
            </elementText>
            <elementText elementTextId="6672">
              <text>Mountain lion</text>
            </elementText>
            <elementText elementTextId="6673">
              <text>Cougar</text>
            </elementText>
            <elementText elementTextId="6674">
              <text>Wildlife disease</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="78">
          <name>Extent</name>
          <description>The size or duration of the resource.</description>
          <elementTextContainer>
            <elementText elementTextId="6675">
              <text>9 pages</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="47">
          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6677">
              <text>&lt;a href="http://rightsstatements.org/vocab/InC-NC/1.0/"&gt;IN COPYRIGHT - NON-COMMERCIAL USE PERMITTED&lt;/a&gt;</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="42">
          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6679">
              <text>application/pdf</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="44">
          <name>Language</name>
          <description>A language of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6680">
              <text>English</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="70">
          <name>Is Part Of</name>
          <description>A related resource in which the described resource is physically or logically included.</description>
          <elementTextContainer>
            <elementText elementTextId="6681">
              <text>Frontiers in Ecology and Evolution</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="57">
          <name>Date Accepted</name>
          <description>Date of acceptance of the resource. Examples of resources to which a Date Accepted may be relevant are a thesis (accepted by a university department) or an article (accepted by a journal).</description>
          <elementTextContainer>
            <elementText elementTextId="6682">
              <text>08/02/2021</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="60">
          <name>Date Issued</name>
          <description>Date of formal issuance (e.g., publication) of the resource.</description>
          <elementTextContainer>
            <elementText elementTextId="6683">
              <text>08/30/2021</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="59">
          <name>Date Submitted</name>
          <description>Date of submission of the resource. Examples of resources to which a Date Submitted may be relevant are a thesis (submitted to a university department) or an article (submitted to a journal).</description>
          <elementTextContainer>
            <elementText elementTextId="6684">
              <text>07/01/2021</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="51">
          <name>Type</name>
          <description>The nature or genre of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="7032">
              <text>Article</text>
            </elementText>
          </elementTextContainer>
        </element>
      </elementContainer>
    </elementSet>
  </elementSetContainer>
</item>
