This file was created by scanning the printed publication. Text errors identified
by the software have been corrected: however some errors may remain.
Knaus et
01. BMC Ecoiogy 2 0 1 1 , 1 1 : 1 0
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Ecology
Mitochondrial genome sequences illuminate
maternal lineages of conservation concern in a
rare carnivore
.
Brian j
3
2
3
, Richard Crcnn ,Aaron Liston , Kristine Piig(m and Michael K Schwartz
Abstract
Background: Science-based wildlife management refies on genetic infor;nation to infer oO;Juiation connectivity
and identify conservation units. Ti',e most commonly used genetic marker for characterizing animal biodiversity
and identifying maternal �ineages is the mitochondrial genome. rv1:tochondria! genotyping figures prominently in
conservation and rT'anagemer,t plans, with much of tr,e atten:ion focused on the non-coding dispiacemem CO")
loop. We used massiveiy paraiiel multiplexed sequencing to sequence complete mitochondria: genomes frorT' 40
fishers, a i:hreatened carnivore that possesses :ow mitogenomic diversiDJ. This allowed us to test a key assumption
of conservation genetiCS, specifically, that the O-Ioop accurately reflects genealogical relationships and variation of
the iarger mitochondria: geno;ne.
Results: Overal! mitogenomic divergence in 4shers is exceedingly
with
pairwise distance between genomes 0' 0.00088 across their aligned iength
genealogical re:ationships from the displacement
(0) loop region (299
66 segrega:ing sites and an average
(16,290 bp). Estimates of variation and
are contradicted by the comolete
mitochondrial genorr,e, as well as tile protein coding fraction of the mitochondrial genome. The sources of this
contradiction trace primarily to the ;,ear-abserKe 0" 'i'iUtations marking the 0-1000 region of one of the most
divergent lineages, and secor,dar:!y to independe'lc (recurent) mutations at two nucleotide position
the O-ioop
amplicon.
Conclusions: Our swcy has two important imp:rcations. �irst, inferred genealogical reconstructions based on the
fisner O-Ioop region contradict inferences based on the entire mitogenome to the point that the fJopuiations 0'
greatest conservation concern cannot be accurately resolved. Whole-ge;,ome analysis identifies Caiifornian
haplotypes from the northern-most populations as
distinctve, vvith a significant excess of amino acid
changes that may be indicat've of mo!ecu!ar adaptation; O-Ioop sequences fail to identify this unique
mitochondria: lineage. Second, the impact of recurrent muta:ion appears most acute in closely related haplotypes,
due to the low level of evolutionary signal (unique mutations that mark lineages) relative to evolutionary noise
(recl.'rrent, shared mL.;tation in unre!ated haplotypes). For vvildiife managers, this means that the populatons of
greatest conservation concern may be at the highest risk of being misidentified
D-Ioop haplotyping. This
message is timely because it highlights the new opportunities for oasing conservation aecisions on more accurate
genetic information.
*
Co rres p o n d ence: rGo n n@fs.fed. u s
1 USDA, :=:o rest ServiCE, PaCific N o rthwest Resea rch Statio n, C o rva i!is, OR.
C)
97331, USA
F u i i list of a uthoe info rm atio n is avail a b i e at the e n d of the a rticle
��l�nmed Central
�) 2011 Knaus e:: al; liCensee BiaMed Central Ltd. Ths is an Open Access article distributed under the "Ce�ms of the Crealive CO[T,molis
Attribution licenSE
\jvhich permits unrestricted use, distribution, and reproduction in
Knaus et
al. BMC Ecology 20; ". 1 1 : 1 0
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Background
Science-based management of biodiversity relies upon
genetic information to identify population connectivity,
conservation units, and evaluate credible divergence
dates [lJ. The most popular sin.gle marker for character­
izing animal biodiversity is the mitochondrial genome,
as mitogenetic variation tracks the matrilineal compo­
nent of historical genetic diversity, migration routes
[2,3] the timing of divergence events [2-5], and has rele­
vance to fitness [6-8]. Mitochondrial haplotyping efforts
typically focus on hypervariable sites within the displace­
ment CD") loop, since high mutation rates within this
region generate substantial haplotypic variation in most
species. The combination of haploidy, uniparental
inheritance, all.d ease of genotyping this locus has led to
a proliferation of conservation recommendations based
partly - and in some cases entirely - on D-loop genot-yp­
ing [9].
Due to the relatively small size, conserved gene con­
tent and order of animal mitochondria, intraspecific
comparisons of whole mitochondrial genome variation
have been possible for nearly a decade [2,3,5,10,11]'
although high per-sample costs limited the widespread
use of such approaches in population-level studies
[2,5,8]. Unlike partial genome sequencing, analysis of
whole mitochondrial genomes malzes it practical to par­
tition variation into evolutionarily relevant categories (e.
g., genic, proteins, synonymous, and replacement sites;
putatively neutral, adaptive, and deleterious mutations),
all of which can be used to produce pjghly accurate esti­
mates of genealogy, divergence events, and possible
adaptation to selective gradients [2,3,5].
Whole mitochondrial genome analysis also makes it
possible to evaluate whether evolutionary inferences
gained from subsets of the genome accurately reflect the
evolutionary dynamics recorded in the fun mitochon­
drial genome. For example, Endicott and Ho [4,12]
observed dramatic differences in mutation rates, muta­
tion saturation, and selective effects in different parti­
tions (e.g., first, second and third codons, D-loop,
rRNA) of human mitochondrial genomes; similar find­
ings have been reported by Ingman and collaborators
[13], also in humans, and by Subramanian et al. [5] in
Adelie penguins (Pygoscelis adeliae). Using whole gen­
ome inferences, Kivisild et aL [ll] proposed that por­
tions of the mitochondrial genome have undergone
positive selection during the evolution of humans. Simi­
lar information has been used to argue for adaptive
divergence in specific mitochondrial genes, as shown by
Castoe et al. [14] for snake evolution and Morin et al.
[8] for killer whale speciation. Complete mitochondrial
genome sequences can improve the resolution of mater­
nal genealogies where subgenomic estimates are
typically poorly resolved, as shown in recent studies
examining the complex pattern of colonization of the
New World by Native Americans [3], or the domestica­
tion history of different dog breeds [2J. The comparative
stability of mitochondrial genomes over time also makes
them potential targets for extracting population genomic
information from paleontological specimens represent­
ing extinct [4,15-18] and their closely-related extant spe­
cies. These examples implicate the mitochondrial
genome as a wondrously heterogeneous marker despite its size of only -16 kb - for \vhich to gain evolu­
tionary inference.
The development of new sequencing technologies
[19-23J and multiplexing approaches [24,25] now make
it practical to sequence population-scale samples of
small genomes at a reasonable cost, and these advance­
ments will encourage widespread use of population-level
mitogenome screening [8,15-18J. Here, we use multi­
plexed massively parallel sequencing to sequence and
analyze complete mitochondrial genomes from fishers
(lvIartes pennanti; Figure 1A), a rare carnivore in parts
of its range, and one that has previously been shown to
exhibit low genetic diversity in the mitochondrial
[26,27J and nuclear [28,29J genomes. These data are
used to evaluate the consistency of evolutionary infer­
ences gained from partial genome genotyping (repre­
sented by D-loop sequences). We are particularly
interested in evaluating:
how much mitochondrial
genetic diversity is captured
partial genomic D-Ioop
sequencing relative to whole genome sequencing; (2) the
concordance between mitochondrial haplotypes and
lineages identified with these different samples; and (3)
the potential impact of mitogenorne-scale information
on the precision of divergence date estimates, with spe­
cific focus on differentiating divergence events (e.g.,
Figure 1 North American fisher and its geographic distribution.
Fisher (lvlartes pennant;), a �id-sized carnivore; is distributed
tfliOUghoL.t boreal and montane North America. Subspeclfic
classifjcation has fOllowed geographic subdivision of this range:
550.
pennanti occurs :n the east (blue), ssp. columbjana occurs in the
No:rhern Rocky Mountains eight and dark green), and ssp. pacinca
is found along the Pacific coast (light and dark red).
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Holocene population and lineage divergence mediated
via European settlement of North America) from more
distant events (e.g., Pleistocene epoch or older).
The fisher is a medium sized carnivore of the mustelid
family, related to marten and wolverine. In North Amer­
ica, where it is endemic, it has a continent-wide distri­
bution across boreal and montane forests (Figure IB)
and is found in old, structurally-complex forests [30,31].
This species is a habitat specialist relying on snowshoe
hares, red squirrels, small mammals and birds found in
these forests, although it is most noted for its predation
upon porcupines in some areas. Contemporary popula­
tions are thriving in eastern North America (M. p. ssp.
pennanti), but the rarity and geographic isolation of
Rocky Mountain (M. p. ssp. columbiana) and Pacific
(M. p. ssp. pacifica) populations (Figure IB) have
resulted in petitions for listing under the U.S. Endan­
gered Species Act, and have motivated reintroduction
efforts (sometimes with non-native subspecies) across its
western range [32].
Previous mtDNA genotyping based on D-Ioop [26]
and combined D-Ioop and cytochrome b [32] sequences
of fishers revealed 12 haplotypes range wide. Partition­
ing of these haplotypes among subspecies groupings was
inconclusive. For example, some observed haplotypes
were unique to geographic and taxonomic partitions.
However, these authors also observed haplotypes that
were shared among these partitions. One haplotype
("haplotype I", Figure 3B; [26]) was shared among sub­
species pennanti, columbiana and pacifica, and showed
a geographic distribution that spanned Minnesota, Wis­
consin, Montana, Idaho, British Columbia and Califor­
nia. In Montana and Idaho, previous mitochondrial
DNA data demonstrated haplotypes present as a result
of reintroductions of fishers to the Rocky Mountains
from eastern and northern populations [30], and identi­
fication of a native haplotype that is hypothesized to
have escaped trapping pressure and population extinc­
tion during the 20th century [30]. In another case, the
sharing of a haplotype among the rarest populations in
the Sierra Nevada range of Southern California with a
Northern California population has been used to suggest
that California fisher populations were historically con­
nected, despite a gap of 430 km in their current geo­
graphic distribution [31,32]. In both Californian and
Rocky Mountain populations, management and conser­
vation decisions have relied on matrilineal inferences
estimated from partial mitochondrial genome sequences,
and these data play a role in ongoing decisions regard­
ing the status of fishers in these areas [32].
In our current analysis, we sequenced 40 complete mito­
chondrial genomes from fisher samples throughout their
geographic range in North America, with specific empha­
sis on the populations of greatest conservation concern
(Rocky Mountains and California; Table 1). These 40 ani­
mals represent 10 of the 12 haplotypes previously identi­
fied using the D-Ioop [26]. Our genome-scale analysis
shows that the three subspecies of fishers do not share
haplotypes, and that both Californian populations are
highly distinctive from one another as well as from all
other geographic regions; none of these findings are indi­
cated by the non-coding D-Ioop region. These results
illustrate the power that whole-genome analyses have in
addressing questions of diversity and divergence at the
population scale and highlight how this information can
be applied to identifying evolutionary significant units to
help guide conservation priorities.
Results
Mitogenomic variation and regional differentiation in
fishers
Range-wide analysis of 40 complete fisher mitogenomes
yielded an aligned data set of 16,290 bp consisting of 13
protein coding genes (11,397 bp), two ribosomal RNA
genes (2,528 bp), 22 transfer RNA genes (1,515 bp), and
the non-coding D-Ioop (299 bp)(Figure 2). Whole gen­
ome analysis revealed 15 haplotypes defined by 66 seg­
regating sites, 19 of which are shared between two or
more haplotypes, and 47 of which are found in single
genomes. These variable sites combine to yield an aver­
age pairwise distance of 0.00088 in our sample of 40
genomes; averaged across samples and genomes , this
equates to approximately 14.3 differences between any
two mitogenomes.
Across genomes, the greatest number of nucleotide
polymorphisms are located in protein coding genes (42
SNPs; 0.00369 substitutions per site), followed by the D­
loop (10 SNPs; 0.03344 substitutions per site), ribosomal
RNA genes (9 SNPs; 0.00356 substitutions per site) and
transfer RNA genes (2 SNPs; 0.00079 substitutions per
site). The exceptionally high density of variable sites in
the D-Ioop region - 33.4 substitutions/kb versus 3.69
substitutions/kb for the proteome - combine to reveal
10 unique haplotypes. This value is only marginally
lower than the number of haplotypes revealed across all
protein coding genes (n
13), even though the pro­
teome includes 38-times more nucleotide positions than
the D-Ioop region.
Overall, population differentiation in mitochondrial
genomes was significant among the three fisher subspe­
cies, with 27% of the variance apportioned among our
samples (M. p. pennanti, N 7; M. p. columbiana, N
21; M. p. pacifica, N 12; AMOVA, P 0.001; Table 2).
A detailed examination of pairwise differentiation
between populations within subspecies showed dramatic
differentiation among Californian populations of fishers.
Differentiation among Northern and Southern
Californian fisher populations resulted in a cI>PT of 0.761
=
=
=
=
=
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01. BMC Ecoiogy 2 0 1 1 , 1 1 : 1 0
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rA
_ 1 Ill MP19
-l �MP20
.-I
''Ill MP36
!
rtiMP
II
i
I
B
ArC?:;
92
' MP
41
I'. MP42
1
,:MP14
,
I
iMP15
'·:MP16
,...--- 'Ili/A\t1P17
I._---"-'99"-11'
I
.
'1
i
:i
0 '"
'
!
�
IJfjMP18
-------1 �MP34
i 'lJ M P35
1
j
, 96 1",1
1I!.MP11
III
!!! MP17
_Hac 10
.'lIM?40
1------�I.Hap11
x MP42
MP4v"
I:�f��
: ����
,liliMP31
r1 "MP12
r
i
98 1
89 1
i
I
I
I
seA
,
:
I
i
I
o
Figure
10
Substitutions
15
20
'
I
I
I!
;���g
,tvlpg
�MP28
H
i
,
-ll
fJ i2 Hap 8
•
i
I
I!IMP39
'Fi MP3f},
fiHap::I
� MP35
i:ll MP34
I""MP1 Ei
III Hapt:;
,
.i-Iap4
'MP32
i,
i
fliMP31
!Il!MP30
I
WiiMP29
L..._
..
--j, MP13
i:rJ��1
••
:>'JMP6
i;l!l:MP5
n MP4
L----li'.Hap2
,...----.---.--,--"
5
I
I
,',MP16
u MP15
ill 14
'----
�MP39
91
��I!MP38
L fIlMP2
MP7
. ' IloPMP25
rWiMP4
:1!fjMP5
I 'fl,MP6
IIIlMP1
IfSMP2
flfMP3
riiMP21
illlMP22
luMP23
iBMP24
y
'
lakes
l
i
I
I"MP13
'I'MP32
n ··MP9
I
'MP10
911 i ffilMP26
Ii, '1mMP27
i
I
EHap3
1-----1
t
90!
I
.'
I
'�MP36
fIl,MP20
IffJMP19
!!lMP37
'Ill MP25
I!'lIMP7
MP24
I IiI
iliil MP23
lBM
P22
IzMP21
r�MP3
i'EII MP2
'E fyiP1
IIHap1
illll ,
ap 6
1,----,----.
250
2
Substitutions
3
3 Genealogical inferences from complete versus partial mitochondrial genomes, and the impact on haplotype identification.
f/\aximcm likeiihood trees constructed using a GTR+f model of nucieotide evolu:ion: (A) complete mitocnondriai genome versus (8) the D�loop
region. H2piotypes are co!oreo by geographic SOlACe. Biack term:na! taxa labeiled "Hap ! � 12" in panel 36 are D�loop haplot/pes from Ore-vV et al.
[26]. I�u!"ibers above edges ino!cate boo·� strap support va1ues > 85% derived. fiorr l,OGO replicates.
(Table 3), and the magnitude of this difference is com­
parable to among-subspecies differences.
Haplotype identification and genealogical reconstructions
based on complete mitochondrial genome sequences,
and comparison to prior D-ioop analyses
Comparisons between maximum likelihood-based
evolutionary reconstructions using the complete
fisher mitochondrial genome (15 haplotypes;
Figure 3A) and the D-loop (10 haplotypes; Figure
3B) are of particular interest since the D-loop has
previously been used to define matrilineal groups for
fisher conservation (see above; [26]). Complete mito­
genome sequence analysis reveals a strongly sup­
ported genealogy, with 13 of 14 possible nodes
showing bootstrap support � 85% (Figure 3A); this
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Table 1 Sample collection localities and GenBank accession numbers
accession
GenBank
Subspecies
Region
Collection Site
MPl
GU121228
pacifica
S. California
MP2
GU121228
MP3
GU121228
MP4
GU121229
MP5
GU121229
MP6
GU121229
MP7
GU121230
MP9
GU121231
MPlO
GU121231
MPll
GU121232
MP12
GU121232
MP13
GU121232
MP14
GU121233
MP15
GU121233
MP16
GU121233
MP17
GU121234
MP18
GU121235
MP19
GU121236
MP20
GU121236
MP21
GU121228
MP22
GU121228
MP23
GU121228
MP24
GU121228
MP25
GU121230
MP26
GU121231
MP27
GU121231
MP28
GU121237
MP29
GU121232
MP30
GU121232
MP31
GU121232
MP32
GU121232
MP34
GU121235
MP35
GU121235
pacifica
37.1
-119.0
37.1
-119.0
N. California
pacifica
Hurnboldt Co, CA, USA
41.1
-123.6
N. California
41.1
-123.6
2
pacifica
Humboldt Co, CA, USA
N. California
Humboldt Co, CA, USA
41.1
-123.6
2
N. California
Humboldt Co, CA, USA
41.1
-123.6
Idaho/Montana
Idaho Co, ID, USA
46.5
-114.8
4
Idaho/Montana
Idaho Co, ID, USA
46.5
-114.8
4
6
pacifica
pacifica
columbiana
columbiana
columbiana
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
columbiana
Idaho Co, ID, USA
46.5
-114.8
6
Idaho/Montana
Ravalli Co, MT, USA
46.5
-114.3
6
columbiana
Idaho/Montana
Idaho Co, ID, USA
46.5
-114.8
12
Idaho/Montana
Idaho Co, ID, USA
46.5
-114.8
12
Idaho/Montana
Mineral Co, MT, USA
47.3
-115.1
12
Great Lakes-MN
Lake of the Woods Co, MN, USA
48.7
-94.8
10
5
columbiana
columbiana
pennanti
pennanti
pennanti
Great Lakes-MN
Lake of the Woods Co, MN, USA
48.7
-94.8
Great Lakes-WI
Oneida Co, WI, USA
44.5
-88.2
pacifica
Great Lakes-WI
Oneida Co, WI, USA
44.5
-88.2
S. California
Fresno Co, CA, USA
37.1
-119.0
paCifica
S. California
Fresno Co, CA, USA
37.1
-119.0
S. California
Fresno Co, CA, USA
37.1
-119.0
paCifica
S. California
Fresno Co, CA, USA
37.1
-119.0
N. California
Humboldt Co, CA, USA
41.09
-123.6
columbiana
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
4
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
4
columbiana
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
4
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
6
pennanti
paCifica
pacifica
columbiana
columbiana
columbiana
columbiana
columbiana
pennanti
pennanti
pennanti
MP38
HQ705178
columbiana
MP41
HQ705180
HQ705180
2
Idaho/Montana
columbiana
columbiana
MP42
-119.0
Fresno Co, CA, USA
HQ705177
HQ705179
37.1
Fresno Co, CA, USA
GU121236
HQ705176
Fresno Co, CA, USA
Previous D-Loop
Designation 1
S. California
MP36
MP39
Longitude
S. California
pacifica
MP37
MP40
Latitude
columbiana
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
6
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
6
6
Idaho/Montana
Idaho Co, ID, USA
46.5
-114.8
Great Lakes-WI
Oneida Co, WI, USA
44.5
-88.2
5
Great Lakes-WI
Oneida Co, WI, USA
44.5
-88.2
5
Great Lakes-WI
Oneida Co, WI, USA
44.5
-88.2
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
9
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
9
columbiana
British Columbia
Near Williams Lake, BC, CAN
52.1
-122.1
11
Idaho/Montana
Idaho Co, ID
46.5
-114.8
7
columbiana
Idaho/Montana
Idaho Co, ID
46.5
-114.8
7
columbiana
, Previous D-Ioop haplotype designations reflect the identifiers used for these haplotypes in previous studies
contrasts the D-Ioop resolution, which shows no
nodal support above 85% (Figure 3B).
The genealogical estimate from complete mitochon­
drial genomes is complex from phylogenetic and
[26,27,30].
phylogeographic perspectives, as haplotypes from the
three currently designated subspecies of fishers (ssp.
pennanti, ssp. columbiana, ssp. pacifica) show no evi­
dence of monophyly. Similarly, haplotypes from major
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Figure
2 Population variation in the fisher mitochondrial genome. The pnysicai organization of the fisher r',iwchoT1drial genome is shown
with the position of protei" coding (biJe), tRNA, (red), r RNA (purple) and non-coding (coioriess) regions indicated. The middle grey track shows
geographic provinces (Great Lakes region; Idaho and
Nlontana; British Columbia; California) do not form dis­
crete lineages, but rather a grade of closely related hap­
lotypes (Figure 3A). The limited phylogenetic
cohesiveness of mitochondrial haplot'fPes from different
taxonomic and geographic groups appears to reflect the
recency of divergence bet'Neen the different geographic
races of this widespread species. For example, one fisher
haplotype from ssp. pennanti (MP18, 34 and 35, from
Minnesota and \X/isconsin) apparently share a more
recent common ancestor with haplotypes from ssp.
columbiana and ssp. pacifica than they do with other
ssp. pennanti haplotypes (MP19, 20, and 36). Included
in this grade of mitochondrial diversity are two ssp.
columbiana haplotypes, represented by MP14-16 and
MP41-42, that were previously hypothesized to
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Table 2 Analysis of molecular variance (AMOVA) for mitochondrial haplotype derived genetic distances between
subspecies, between populations within subspecies, and within populations. Group membership is identified in Table 1
-%,
� Statistic
Value
P
�RT
0.2715
0.001
0.2655
0.005
0.4649
0.001
Source of variation
dJ.
SS
MS
Est. Variance
%
Among subspecies
2
0.00439
0.00220
0.00012
27%
Among populations/
subspecies
3
0.00231
0.00077
0.00008
19%
�PR
Within populations
24
0.00792
0.00023
0.00023
54%
�PT
Total
29
0.01462
0.00320
0.00044
100%
the percentage of variance explained by each sampling level. Significance of <1> statistics are based on
represent a fisher lineage that was isolated from other
Rocky Mountain lineages in ice-free refugia during
Pleistocene glaciation [26]. Population level analysis of
D-Ioop haplotype variation in this geographic region by
Drew et al. [26] shows that "haplotype 7" (our MP4142) and "haplotype 12" (our MPI4-16) reach their high­
est frequency in the Bitterroot Mountains of western
Montana/central Idaho [30], and that they are not
known outside the region.
Our analysis highlights a relevant contradiction
between whole genome analyses and prior analyses based
on D-Ioop sequences. The most apparent contradiction
involves the identity of the highest frequency D-Ioop
sequence identified in prior studies, specifically "haplo­
type I" [26]. This D-Ioop haplotype showed a nearly con­
tinent-wide distribution, being detected in populations
from the Great Lakes, British Columbia, Montana, Idaho
and California (Figure 3B). Whole mitogenome sequen­
cing shows that this D-Ioop haplotype actually includes
four distinct, non-sister lineages that sort by subspecies,
and further define two geographic provenances of Cali­
fornia (Figure 3A). Distinct haplotypes that were pre­
viously hidden within D-Ioop "haplotype I" include
MPI9/20/36 from M. p. ssp. pennanti in the Great Lakes
region, MP37 from M. p. ssp. columbiana in the Rocky
Mountains of British Columbia, and M. p. ssp. pacifica
from the Sierra (MPI-3/21-24) and the Siskiyou and Kla­
math (MP7/25) mountain ranges of California.
In evaluating the genetic affinities of Californian fish­
ers, complete mitogenome sequences show much larger
genetic divergence between populations in northern and
southern California than has been predicted from the
10,000
permutations of samples.
D-Ioop. Whole mitochondrial coding sequences (Figure
3A) reveal three haplotypes exclusive to Californian fish­
ers, one that is geographically restricted to the Sierra
Nevada range (S CA), and two that form a monophyletic
lineage and are restricted to the Siskiyou and Klamath
mountain ranges (N CA). These three haplotypes are
distinctive, showing a minimum of 6 pairwise exonic dif­
ferences that include several amino acid replacements
(see below). In contrast, genealogical estimates from D­
loop data (Figure 3B) identified two Californian hap­
logroups [26], including the geographically widespread,
genealogically unresolved "haplotype I" (noted above)
and "haplotype 2" [26], which is equivalent to our
Northern California haplotypes MP7 and MP25
We examined individual nucleotide positions that sup­
ported the competing complete mitochondrial genome
and D-Ioop resolutions, and topological disagreement in
some cases appears to be attributable to recurrent
(homoplasious) mutation in variable nucleotides con­
tained in regions typically included in D-Ioop genotyp­
ing (e.g., tRNA-THR plus the hypervariable region of
the D-Ioop; table 4). An additional homoplasious muta­
tion was identified in a genic region of the mitochon­
drial genome (within cox3; table 4). Despite the low
level of mitogenomic divergence observed in our sample
of fishers, recurrent mutations appear to have occurred
in both the D-Ioop region and coding regions. When
pairwise distance is exceptionally small, as is the case
with Californian fishers, homoplasy in the D-Ioop region
appears to obscure the identity and genealogical rela­
tionships recorded in the complete mitochondrial
genomes.
Table 3 Pairwise genetic differentiation in fisher mitochondrial genomes
pennanti
pennanti
-
MN
pennanti - WI
columbiana - ID/MT
columbiana
-
BC
pacifica - N CA
pacifica
-
5 CA
- MN
pennanti
- WI
columbiana
0.117
0.405
0.000
0.012
0.227
0.313
0.385
0.461
- ID/MT
columbiana
- BC
0.058
pacifica
- N CA
0.044
0.001
0.001
0.001
0.111
0.013
0.003
0.001
0.001
0.110
0.534
0.550
0.385
0.354
0.831
0.716
0.541
0.530
(P
,;
0.05).
Group membership is identified in Table
- S CA
0.003
0.761
Mitochondrial DNA- based population differentiation (<1>PT below) is shown below the diagonal, and probability values estimated from
shown above diagonals. Bold indicates significant values
pacifica
0.017
1.
10,000
permutations are
:J"A
::; �
"B,c:
�;
� �
§:�
3
tD
11
,."
�·8
tD
0-
��
Dl
- ""
n 0
o �
3::->
� ....
��
""0
�
ex>
VI
�
Table 4 Position, polymorphism, and recurrence of mutations in the fisher mitochondrial genome
Genomic
423
1985
4144
5492
5768
6515
8131
8524
9166
11705
11840
12799
13722
15349
125
rRNA
165
rRNA
ND2
COX1
COX1
COX1
ATP6
ATP6
COX3
tRNA
LeucuN
ND5
ND5
ND6
tRNA
15534 15569
15576
15647
15989
Dloop
Dloop
Dloop
position
Locus
Thr
Dloop
Dloop
Locus position
354
891
238
156
432
1179
195
588
550
21
95
1054
371
44
96
131
138
208
550
Nucleotide
NG
NG
CIT
A/G
CIT
CIT
NG
CIT
AfG
NG
NG
A/G
NG
CIT
CIT
AfG
NG
A/G
CIT
Leu>
Leu
Gin>
Gin
Asp>
Asp
Phe>
Phe
Gly>
Gly
Leu>
Leu
Ala>
Asn>
Ser
Ser>
Gly
Ala>
Val
1
1
0
0
0
Amino Acid
Changes
Thr
1
2
0.5
Consistency
2
2
0.5
0.5
�
o
index
Homoplasy
0
0
0
0
0
0
0
0
0.5
0
0
0
0
0.5
0
0.5
index
Retention
0.6667
0.833
0
0.3333
0.417
0
index
Rescaled ci
Genomic position is measured relative to the
beginning of their
5'
5'
end of tRNA-Phe. locus position is relative to the first nucleotide of the start codon for coding sequences. locus position for transfer RNAs are relative to the
end. The location of the D-Ioop is relative to the end of tRNA-Pro, and substitutions occurring in the D-Ioop are indicated by bold type. Positions showing evidence of recurrent mutation are
highlighted in bold print.
'1J
OJ
<.C
tD
ex>
Q.,
.j>
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• MP36
r---.MP20
---l
.MP19
b
�
x
I()
All third codons
llMP42
:'iMP41
• MP37
'"
b
�
aMP16
aMP15
111 MP14
.MP17
98
x
o
�
• MP35
r------t.MP34
.MP18
1.-______ • MP40
II MP32
.MP31
• MP30
• MP29
• MP27
• MP26
IIMP13
IIMP12
.MP11
aMP10
93
o
Figure
• MP39
• MP28
• MP38
1------1. MP25
5
t.....
.=-t
..=
based estimates of mutation rates and a log-normal distribution
shows that the modal time to an observed mutation for the
complete fisher mitochondrial genomes is 8,428 years (95% c.1.
=
the modal time to an observed mutation for the 379 third codons
of cytochrome b (pink; 84,411 years, 95% CI.
.MP6
• MP5
.MP4
• MP24
• MP23
• MP22
• MP21
.MP3
.MP2
.MP1
15
Fi gure 4 Maximum likelihood tree for all coding nucleotides of
evolution was used; numbers above nodes represent bootstrap
;;,
5 Estimates of mutation rates and divergence dates
mitochondrial genome (brown). This value is significantly lower than
the fisher mitochondrial genome. The GTR+r model of sequence
support
200
5,004 - 17,364), based on all 3)96 third codon positions in the
.MP7
5
10
Substitutions
o
40
60
80 100 120 140 160 180
Thousand Years Until Substitution
from complete versus partial genomes. Imposing carnivore­
IIMP9
92
20
85. The branch colored in red indicates a significant
departure from neutral evolution.
Potentially non-neutral variation and the incomplete
record of the D-Ioop
Conflation of Northern and Southern Californian mito­
chondrial haplotypes and their phylogenetic affinities by
the D-Ioop (Figure 3B) is surprising given the abun­
dance of synonymous and non-synonymous genomic
change observed between these haplotypes. Of the 11
variable amino acid positions detected in our sample, 5
amino acid replacements are unique to northern
=
50,115-173,914) .
Californian haplotypes (4 to the single haplotype repre­
sented by MP7 and MP25), accounting for a remarkable
42% of the amino acid variation in our sample of 40
individuals across North America. When the proportion
of unique haplotypes for each geographic region are
compared relative to the sample sizes, Californian mito­
genomes (ssp. pacifica) show a significantly higher num­
ber of replacements than expected (41.7% versus a
grand mean of 18.2%; P 0.035).
To test whether amino acid replacement rates showed
evidence of non-neutral evolution, we used a codon­
based genetic algorithm [33] to test whether the ratio of
non-synonymous (dN) to synonymous (dS) substitutions
was greater than 1. This method partitions branches of
a tree (in this case, the maximum likelihood topology of
the protein coding portion of the genome, with a GTR
+ r substitution model; Figure 4) into groups according
to dN / dS. This analysis identified that a three rate class
model had a significantly better fit than other models
(see Methods). Using this model, the MP7/MP25 haplo­
type from Northern California was the only terminal
that showed a probability greater than 99% of dN
exceeding dS (Prob{dN > dS} 0.999; red branch, Fig­
ure 4). Since all four substitutions on this terminal
branch result in amino acid replacements, the dN/dS
=
=
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ratio falls in the highest rate class (0.195, 10,000) but the
dN / dS ratio cannot be defined due to the absence of
synonymous substitutions. This unusual substitution
pattern, reflected in two independent samples (MP7,
MP25), shows a clear departure from neutral evolution.
Evaluation of amino acid changes underscores two
important findings. First, mitogenome sequencing shows
Northern Californian haplotypes to be distinctive from
each other, and from all other fisher haplogroups. At
this point, we can't determine whether these changes
represent an accumulation of adaptive mutations
through positive selection (as has been suggested for
killer whales; [8]), or the accumulation of slightly dele­
terious mutations through drift in small populations of
asexual genomes [34]. Either way, the pattern of muta­
tion accumulation in this lineage deviates from neutral
expectations relative to our sample of haplotypes taken
across North America. Irrespective of their selective
relevance, these amino acid changes are uncorrelated
with change in the D-Ioop region of the genome.
Impact of whole genome sequencing on the precision
and timing of fisher matrilineage divergence
Our complete mitogenomes provide an opportunity to
examine how whole genome sequencing might impact
the accuracy of dating haplotype divergence events in
closely related lineages. The use of complete mitogen­
omes significantly increases the precision of divergence
estimates, primarily due to the increase in the number
of available synonymous sites. Given the distribution of
carnivore mutation rates [35] and calibrations based on
cytochrome b (379 third codon positions), one synon­
ymous substitution is expected in -84 ky (50-174 ky;
Figure 5). In contrast, calibrations based on the fisher
mitogenome (3,799 third codon positions) instead show
an expectation of one synonymous substitution every
8.4 ky (5.0 - 17.4 ky). This suggests that significant
improvements in divergence date accuracy (the point
estimate) and precision (decreased variance) can be
obtained by simply sequencing whole organelle
genomes.
This improvement in precision will be of great rele­
vance to species showing low genetic variation and
divergence, such as North American fishers. For exam­
ple, haplotypes from Californian and Rocky Mountain
fishers show exceedingly low pairwise divergence, aver­
aging 1.8 synonymous substitutions per genome from
their recent common ancestor (Figure 4). In light of car­
nivore mutation rates, these synonymous distances sug­
gest that the most recent common mitochondrial
ancestor for Northern California, Southern California,
and the majority of Rocky Mountain haplotypes date to
approximately 16.7 kya (9.0 - 31.3 kya). The accurate
estimation of such dates clearly requires confirmation
with fossils appropriate to fishers; nevertheless, this
exercise shows that whole genome sequencing offers
clear advantages versus partial genome sequencing with
regard to the precision of recent divergence time esti­
mates, and the ultimate perspectives they provide on the
timing and origins of unique populations.
Discussion
Our analysis highlights a relevant contradiction between
whole genome analyses and prior analyses based on D­
loop sequences from western fishers. Genealogical infer­
ences based on mitochondrial D-Ioop variation are in
conflict with the remainder of the mitogenome, and D­
loop sequences underestimate the distinctiveness of the
populations of greatest conservation concern due to the
accumulation of independent, recurrent mutations.
Results from fishers show that the mutation rate at sites
within and proximal to the D-Ioop is sufficiently high
that recurrent mutations have accumulated in a short
time span; the impact of this mutational noise on geno­
typic identities and genealogical patterns is most pro­
nounced in groups showing low divergence. This leads
us to suggest that the fisher populations of greatest con­
servation concern are at the greatest risk of D-Ioop misi­
dentification. This trend is unlikely to be limited to
fishers, as low intraspecific mitochondrial divergence is
widely reported in conservation genetic studies.
From a management perspective, these data are timely
as fishers in California and the Rocky Mountains have
been recently considered or are currently being consid­
ered for listing under the Endangered Species Act
[26,32,36]. Our results confirm previous work that iden­
tifies some haplotypes from the Bitterroot Mountains of
western Montana and central Idaho (e.g., MP 41-42;
MP14-16) as unique relative to other known haplotypes
in the U.S. Northern Rockies, British Columbia, and
eastern North America. These unique mitogenomes are
unlikely to represent outside reintroductions from other
locations in North America, and may instead represent
native haplotypes from populations that avoided early
20th century extinction by persisting in Bitterroot
Mountain refugia [26,30]. While additional sampling of
historical and contemporary specimens will be needed
to further validate this hypothesis, this haplotype group
achieves its highest frequency in the Bitterroot Moun­
tains of Montana and Idaho (Figure 3; [30]), and it is
highly divergent from other Rocky Mountain fisher hap­
lotypes. As such, these popUlations may warrant protec­
tion as a "distinct population segment" under the
Endangered Species Act.
In California, conservation questions center around
the historical versus contemporary distribution of fish­
ers. Currently, there is a 430 km gap [31,37] between
populations in Northern (the Siskiyou and Klamath
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ranges) and Southern (Lake Tahoe) California. Some
have argued that historical fisher distributions were
more or less continuous across montane regions of Cali­
fornia, and that their current isolated distribution
reflects range constriction due to anthropogenic pres­
sure; this perspective is used to argue for reintroduction
efforts that "fill the gap" between these distant geo­
graphic provenances [38]. Others have argued that fisher
distributions were historically discontinuous, that migra­
tory barriers existed prior to European settlement, and
that these barriers should be preserved in contemporary
fisher management plans. Key points in this argument
are studies that identify fishers as a habitat specialist in
the western United States, preferring low- to mid-eleva­
tion forests with diverse structure [39,40], and the
absence of high-quality habitat between these popula­
tions [40].
Initial mitochondrial D-Ioop haplotype data by Drew
et al. [26] reported a shared haplotype between South­
ern and Northern Californian populations, and this find­
ing was used as evidence to argue for recent historical
connectivity between these geographic provenances.
This information was later contradicted by nuclear
micro satellite DNA results from Wisely et al. [29],
which showed large genetic divergence between South­
ern and Northern Californian fishers. Our results from
whole mitochondrial genotyping support the findings of
Wisely et al. [29] by showing high genetic divergence
between Southern and Northern California fishers. Most
critically, our results show that the inferences reached
by Drew et al. [26] appear erroneous and are likely attri­
butable to the unusual mutational properties of the D­
loop that create (and re-create) a haplotype that mimics
others ("haplotype 1") that are common across North
America.
Our analysis identifies that Northern Californian hap­
lotypes form sister lineages, and these are genealogically
distinct from southern Sierra Nevada fishers. Using esti­
mates of pairwise divergence and the synonymous muta­
tion rate in carnivores ( [26]; Figure 4), we hypothesize
that the haplotypes representative of northern and
southern California fishers could have diverged -16.7
kya. This value, while based on a strict molecular clock,
is consistent with previous micro satellite data [29], as
well as paleontological evidence that places the earliest
record of fishers in the Pacific west at < 5000 years ago
[41]. If these calibrations are correct, recommendations
to restore connectivity between these populations would
be inconsistent with historical records [37], habitat mod­
els [40], and now contemporary molecular data.
An outstanding question in our analysis is whether
contemporary fisher distributions in populations of con­
cern primarily reflect isolation due to natural range con­
traction associated with the end of the Pleistocene
(-10,000 ya), or disturbance associated with western set­
tlement or 20th century hi.nd management practices.
Absolute divergence date estimation from molecular
data at these time scales is non-trivial, as it requires pre­
cise calibration at the root of the tree (and ideally at
nodes of interest) with DNA derived from sub-fossil tis­
sues, or mutation rates calibrated to specific lineages
with high quality fossils of known genealogical place­
ment [5,42]. There is also an element of time-depen­
dency in the use of these rates, as the average mutation
rate over long evolutionary time is often significantly
lower than the rate calculated from sub-fossils [5] and
pedigrees [43]. Under the best circumstances, absolute
divergence date estimates derived from mutation rate
assumptions contain substantial and undefined error, so
the dates they produce can be of unknown value when
evaluating very recent divergence estimates.
Irrespective of these issues, our results show that
divergence date estimates (absolute or relative) for sub­
genomic partitions on the order of 1110 the size of the
mitochondrial genome are highly inaccurate, and can
have 95% confidence intervals measured in hundreds of
thousands of years (Figure 5). The implication is that
date estimates derived from small portions of mitochon­
drial sequence (e.g., D-Ioop or portions of coding genes
like cytB) include substantial error. Improvements in the
precision of estimates of genetic and relative divergence
can clearly be made with whole genome sequencing,
and this improved precision will be most valuable in
populations showing low genetic variation and diver­
gence, such as western fishers. It should be noted that
while accurate absolute divergence dates in fishers are
unlikely to be derived from distant fossil calibrations
[41,44,45], late Pleistocene fisher fossils exist [41,44,45]
and could be used to provide a resolution of fisher
divergence dates. The growing field of paleogenomics
provides striking examples of how such materials can be
used to provide direct genomic information for internal
calibration estimates [5].
Finally, our analysis shows that conservation genetic
studies based on one or few mitochondrial gene frag­
ments (such as those from fishers) may have sufficient
power to identify ancient divergence events (e.g., Pleisto­
cene or older), but they are certain to lack the accuracy
and precision needed to confidently resolve population
divergence events in the Holocene. This point has been
made by others [2,5], but it is particularly relevant in
the analysis of threatened, endangered, or sensitive spe­
cies like fishers, where the motivating forces behind
contemporary population parameters (isolation; migra­
tion; population trends) are of keen interest to conserva­
tion managers.
Our findings reinforce the need for caution when con­
servation and management decisions are based on small
Knaus et
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samples of the mitochondrial genome. They also raise
the possibility that the incongruence between inferences
from mtDNA and nuclear data sets may be at least
partly attributable to the unique mutational properties
of the D-loop. The ability to generate genome-scale
datasets affordably meat,s that this solution to fine-scale
genealogical problems is available for conservation appli­
cations [8,23]. Wildlife managers will benefit from the
more complete genomic perspectives offered by
advances in genomics technologies, as population-level
genetic variation has the potential to be partitioned into
categories of neutral variation, putatively adaptive varia­
tion, and potentially misleading variation.
Conclusions
o Californian fisher populations in distinct geo­
graphic areas are represented by haplotypes that are
genetically distinct from one another and from all
other fisher groups. This finding is not reflected in
previous research based on a small portion of the
mitochondrial D-Ioop.
o California populations of fisher contain at least
three genetically distinct maternal li.:1eages, and their
divergence likely predates modern land management
practices. One population contains a significant
amount of non-neutral variation; this could be indi­
cative of adaptive divergence or the accumulation of
deleterious mutations due to small population
processes.
o Fishers in Idaho and Montana possess diverse
mitogenomic lineages. One major lineage is similar
to haplotypes common in British Columbia, while
other lineages represented by ivfP14, lvfP41 represent
a highly divergent, geographically restricted
haplogroup.
o These findings are broadly relevant to wildlife
management, since our study shows that populations
of greatest conservation concern (those showing the
least genetic divergence) are at the greatest risk of
being misidentified by D-loop genotyping.
Methods
Genome isolation, sequencing and assembly
We analyzed mtDNA from 40 fisher tissue samples col­
lected from throughout their North American range.
Total DNA was extracted using the DNeasy Tissue Kit
(QIAGEN Incorporated, Hilder, Germany). Complete
mitochondrial genomes were amplified in three overlap­
ping segments using primers designed from the consen­
sus sequence of four mustelid mitochondrial genomes
(Japanese marten, Martes raalampus, NC009678; Japa­
nese badger, Metes meles anakuma, NC009677; red
panda, Ailurus fulgens, NC009691; sea otter, Enhydra
tutris, NC009692). Primers include: mtI-F 5'-
CAAGAGGAGAYAAGTCGTAACAAG-3'; mtI-R 5'­
TCTCACCTATAATTTGACTTTGACA-3'; mtII-F 5'­
AAGAAAGGAAGG.i\i\TCGAACC-3'; mtII-R 5'_
TTGGAGTTGCACCAATTTTTTG-3'; mtIII-F 5'­
5'­
mtIII-R
CATGGCTTTCTCAACTTTT-3';
CTTTGRTTTATCCA.A.GCACAC-3'. PCR reactions (20
Ill) used � 10 ng of total genomic DNA, and were ampli­
fied using Phusion Flash polymerase (New England Bio­
labs). Cycling conditions included a 30 s activation at
98'C, followed by 30 cycles of 8 s at 98'C, 30 5 at 59'C,
at-,d 2 min at n'e
Purified amplicons were pooled by individual in equi­
molar ratios and prepared for Illumina single-end
sequencing using barcoded adapters [25J. Mitogenome
pools (10 - 12 per pool) were sequenced on one lane
each on an Illumina Genome Analyzer II using 40 bp
microreads. Individual genomes were represented by an
average of 315,000 micro reads (minimum
43,090),
\Iihich is equivalent to an average of 11,340 kb of
sequence per mitochondrial genome, and an average
sequencing depth of 300 reads per nucleotide. The origi­
nal short read sequence data is available under study
number ERP000590 from the European Nucleotide
Archive of the European Bioinformatics Institute http:! /
www.ebLac.uk/ena!data/view/ERP000590.
Genomes were assembled using de novo and reference
guided methods. A custom Perl script was used to sort
and remove barcodes from Illumina 'qseq' files. Initial
genome scaffolds were built v.sing de novo assemblies
(Velvet 0.7.45, [46]). BLAT 32 x 1 [47J was used to
order de novo contigs onto the lV[artes melampus mito­
chondrial genome. Several rounds of reference guided
assembly (RGA_blaCSNP_Q_rc4, [48]) were performed
to determine whether the reference was divergent across
mapped microreads, at'1d the reference was updated after
every round of assembly. Reference-guided assembly was
performed until no polymorphism was detected between
the reference and the microreads. MAQ [49J and BioE­
dit [SOl were used to visualize assemblies and locate
indels.
=
Data analysis
Statistical analyses of DNA sequences primarily used
custom R scripts [51J. Sequences and trees were
manipulated using the R packages 'ape' [52], 'seqinr'
[53], 'pegas' [54J and custom scripts. Maximum likeli­
hood trees were generated using RAxML [55] at the
CIPRES portal [56] and rooted with one individual from
the Great Lakes that was identified as sister to our sam­
ple specimens based on phylogenies built using Gulo
gulo (NC_009685.1), Metes meles (NC_011125.1), Martes
flavigulata
(NC_012141),
Martes
melampus
(NC_009678) and Martes zibellina (NC_011579) as out­
groups (not shown). In order to facilitate comparison,
Knaus et
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the D-Ioop was defined by the aligned sequences of
Drew et al. [26] as downloaded from GenBank (299 bp).
This includes a portion of tRNA-proline but was
included as a representative of a D-loop amplicon as uti­
lized in the literature. To explore how the amount of
data affects statistical power of inference of divergence
dates, we used estimates of species neutral evolution
rate based on third codon substitutions of cytochrome b
for 131 carnivore species [35]. Data were rescaled to
reflect years until a mutation could be expected. Log­
normal curves were fit to the data in R and summary
statistics were derived from fitted distributions. A point
estimate was made from the mode, and a 95% confi­
dence interval was constructed from the 0.025 and 0.975
quantiles.
Analysis of molecular variance (AMOVA; [57]) was
performed on DNA sequences from the three subspecies
and 6 geographic populations to explore the distribution
of genetic variability. For this analysis, a pairwise
nucleotide distance matrix for all haplotypes was com­
puted with MEGA4 [58], using the Kimura 2-parameter
correction for multiple substitutions. This distance
matrix was used as the input for AMOVA using GenA­
lEx ver. 6.41 [59]. In this analysis, a significant effect of
subspecies (t1>R T) , or populations within subspecies
(t1>PR) ' would indicate that significant genetic structure
existed at that level. t1>P T (an Fst analogue for mitochon­
drial DNA; [57]) was used to analyze the degree of struc­
turing among populations globally and in pairwise
comparisons. Significance of the variance components
was evaluated using non-parametric permutation tests
with 10,000 iterations.
To test whether amino acid replacement rates were
identical across genomes and lineages, we used the
codon-based genetic algorithm [33] to test whether the
ratio of non-synonymous (dN) to synonymous (dS) sub­
stitutions were greater than 1. This method partitions
branches of a specified tree into groups according to
dN/dS. This analysis identified that a three rate class
model (c-AIC 30476.6; dN/dS classes 0.000, 0.195,
10,000) had a significantly better fit than single-rate (c­
AlC
30457.9; dN/dS
0. 177), two-rate (c-AIC
30433.1; dN/dS classes 0.059, 10000), or four-rate (c­
AlC
30428.1; dN/dS classes
0.000, 0.163, 0. 488,
10000) class models.
=
H i g l ey, Eric Lofroth, Kath ry n P u rc e l l , C ra i g Tho m p s o n , Jody Tucker, a n d Ray
Vi n key. We a l so w i s h to t h a n k Keith A u b ry, Scott B a ker, Dee Denver, J essica
Wrig ht, and two a n o ny m o u s reviewers for their a dvice o n earlier d rafts of
t h i s m a n u scri pt. Th i s work was fu n d ed by the P a cific N o rthwest, Rocky
M o u nta i n , a n d Pacific S o u t h west Research Stati o n s of t h e U S D A Fo rest
Service.
Author details
1 U S D A F orest S e rvice, P acific N o rthwest Research Station, Co rva l l is, O R
97331, U S A.
=
Acknowledgements
RC, AL and M KS conceived of and de si g ned t h e study. KP and RC i s o lated
d ev e l o ped t h e p i p e l i n e fo r processi n g I l i u m i n a d ata. B J K constructed
g e n o m e a s se m b l ies, g e n o m e a l i g n m e nts, and p e rfo r m ed a l l seq u e n c e
a n a lyses. BJ K a nd RC perfo rm ed statistica l a n a lysis. B J K. R C KP, A L a n d M KS
wrote t h e m a n u scri pt. A l l a ut h o rs read a n d a p p roved the fi n a l m a n u s c ri pt.
Received: 8 J u l y 2 0 1 0 Accepted: 2 0 A p r i l 2 0 1 1
Published: 20 April 2 0 1 1
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Cite this article as:
Kn a J s e t 01.: M itoc h o n d r i a l g e n o m e s e q u e n c e s
i l l u m i nate maternal i i n ea g e s of conservation concern i n a r a r e
, carn ivore. BMC Ecology 2 0 1 1 1 1 : - O.