large‐scale migrations of brown bears in eurasia...
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OR I G I N A L A R T I C L E
Large-scale migrations of brown bears in Eurasia and to NorthAmerica during the Late Pleistocene
Peeter Anijalg1 | Simon Y. W. Ho2 | John Davison1 | Marju Keis1 | Egle Tammeleht1 |
Katalina Bobowik2 | Igor L. Tumanov3 | Alexander P. Saveljev4 | Elena A. Lyapunova5 |
Alexandr A. Vorobiev6 | Nikolai I. Markov6 | Alexey P. Kryukov7 | Ilpo Kojola8 |
Jon E. Swenson9,10 | Snorre B. Hagen11 | Hans Geir Eiken11 | Ladislav Paule12 |
Urmas Saarma1
1Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
2School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia
3West Branch, Russian Research Institute of Game Management and Fur Farming, Saint Petersburg, Russia
4Russian Research Institute of Game Management and Fur Farming, Kirov, Russia
5N.K. Koltzov Institute of Developmental Biology, Russian Academy of Sciences, Moscow, Russia
6Institute of Plant and Animal Ecology, Ural Branch of Russian Academy of Sciences, Yekaterinburg, Russia
7Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia
8Natural Resources Institute, Rovaniemi, Finland
9Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, �As, Norway
10Norwegian Institute for Nature Research, Trondheim, Norway
11NIBIO, Norwegian Institute of Bioeconomy Research, Svanvik, Norway
12Faculty of Forestry, Technical University, Zvolen, Slovakia
Correspondence
Urmas Saarma, Department of Zoology,
Institute of Ecology and Earth Sciences,
University of Tartu, Tartu, Estonia.
Email: [email protected]
Funding information
Seventh Framework Programme, Grant/
Award Number: contracts 247652 and
2096/7. PR UE/2011/2; Estonian Ministry
of Education and Research, Grant/Award
Number: IUT20-32
Editor: Gerald Schneeweiss
Abstract
Aim: Climatic changes during the Late Pleistocene had major impacts on popula-
tions of plant and animal species. Brown bears and other large mammals are likely
to have experienced analogous ecological pressures and phylogeographical pro-
cesses. Here, we address several unresolved issues regarding the Late Pleistocene
demography of brown bears: (1) the putative locations of refugia; (2) the direction
of migrations across Eurasia and into North America; and (3) parallels with the
demographic histories of other wild mammals and modern humans.
Location: Eurasia and North America.
Methods: We sequenced 110 complete mitochondrial genomes from Eurasian
brown bears and combined these with published sequences from 138 brown bears
and 33 polar bears. We used a Bayesian approach to obtain a joint estimate of the
phylogeny and evolutionary divergence times. The inferred mutation rate was com-
pared with estimates obtained using two additional methods.
Results: Bayesian phylogenetic analysis identified seven clades of brown bears, with
most individuals belonging to a very large Holarctic clade. Bears from the wide-
spread clade 3a1, which has a distribution from Europe across Asia to Alaska, shared
a common ancestor about 45,000 years ago.
DOI: 10.1111/jbi.13126
394 | © 2017 John Wiley & Sons Ltd wileyonlinelibrary.com/journal/jbi Journal of Biogeography. 2018;45:394–405.
Main conclusions: We suggest that the Altai-Sayan region and Beringia were impor-
tant Late Pleistocene refuge areas for brown bears and propose large-scale migra-
tion scenarios for bears in Eurasia and to North America. We also argue that brown
bears and modern humans experienced a demographic standstill in Beringia before
colonizing North America.
K E YWORD S
Altai, Beringia, climate change, mitochondrial genome, molecular clock, phylogeography, Ursus
arctos
1 | INTRODUCTION
Climatic fluctuations during the Pleistocene have shaped the distri-
bution, genetic structure, and diversity of present-day species in Eur-
asia and North America. During the Last Glacial Maximum (LGM;
26.5–19 kya), many high-latitude areas were covered by continental
ice sheets and temperate species were largely restricted to warmer
and more hospitable areas known as glacial refugia (Hofreiter & Ste-
wart, 2009). Some southern parts of Europe, such as the Mediter-
ranean peninsulas, have long been recognized as LGM refugia for
temperate species. There is also growing recognition of more north-
erly refugia in Europe, including the Carpathian Mountains (Def-
fontaine et al., 2005; Kotl�ık et al., 2006; Saarma et al., 2007; Schmitt
& Varga, 2012).
In phylogeographical studies of large mammals, the brown bear
(Ursus arctos L.) has been a model species. This is largely due to its
wide past and present distribution, as well as female philopatry (Davi-
son et al., 2011). In historical times, brown bears were common in
most parts of Eurasia and in the western part of North America down
to northern Mexico (Kurt�en, 1968). Present-day bear populations
occupy somewhat smaller areas, with many populations fragmented
mainly because of human persecution and loss of suitable habitat
(Davison et al., 2011; Swenson, Taberlet, & Bellemain, 2011). The lar-
gest brown bear population in northern Eurasia stretches from Scan-
dinavia to the Russian Far East and is associated predominantly with
the occurrence of boreal and temperate forests. The range is
restricted by tundra in the north and by dry steppe in the south
(Servheen, Herrero, & Peyton, 1999). However, the Gobi bear in
Mongolia is desert-dwelling (McCarthy, Waits, & Mijiddorj, 2009),
indicating that brown bears can survive in fairly hostile environments.
For many species, including the brown bear, long-term isolation
of populations in separated glacial refugia resulted in genetic diver-
gence among populations, loss of genetic variability and complex
patterns of migrations during the Late Pleistocene and Holocene
(Davison et al., 2011; Hewitt, 2000; Taberlet, Fumagalli, Wust-Saucy,
& Cosson, 1998). However, despite the wide Eurasian distributions
of many species, including several model species for biogeography,
we lack an equivalent understanding of the processes influencing
populations in Asia.
Analysis of genetic markers has provided a highly informative
means of reconstructing both ancient and contemporary patterns of
diversity and demography. Important insights into geographical varia-
tion among populations of animals, such as those of the brown bear,
have been gained through analyses of autosomal loci (Swenson
et al., 2011; Tammeleht et al., 2010), Y-chromosome markers (Bidon
et al., 2014; Schregel et al., 2015), and other sources of data, such
as diet (Vulla et al., 2009). Based on complete mitogenome
sequences of brown bears in north-western Eurasia, Keis et al.
(2013) identified population structuring, demographic history, and
spatial population processes that had not previously been detected
using shorter sequences.
We expect that a wider analysis of mitogenomes from Eurasia to
North America will help to expose new details of ancient population
processes and their time-frame. Mitochondrial DNA has been a pre-
ferred genetic marker for studying bears for several reasons. Perhaps
the most relevant to phylogeographical studies is that because
female brown bears are philopatric, the phylogeographical signal is
better preserved in mitochondrial DNA than in autosomal markers or
the Y-chromosome. However, the phylogeographic history of the
female lineage does not necessarily coincide with that of the whole
species (Davison et al., 2011). A notable example of this is the mito-
chondrial paraphyly of brown bears (Talbot & Shields, 1996), which
stands in contrast with the clear support for monophyly from male-
specific (Bidon et al., 2014) and biparental markers (Liu et al., 2014).
The present-day European population of brown bears consists of
two main mitochondrial lineages, the eastern (clade 3a) and western
(clade 1), of which the latter is divided into subclades 1a and 1b
(Taberlet & Bouvet, 1994). These clades and subclades exhibit con-
siderable geographical differentiation. Subclade 1a originated from
an Iberian refuge and is now found in southwestern Europe and
southern Scandinavia; however, the recolonization of southern Scan-
dinavia was most likely not limited to migrations from a single refu-
gium (Bray et al., 2013). In contrast, subclade 1b has virtually
remained in its refugial territory in the south and east of Europe
(Italy and Balkans). In North America, four mitochondrial clades have
been identified in contemporary brown bears: clade 2a on the Admi-
ralty, Baranof, and Chichagof (ABC) islands of Alaska, clade 3a1 in
western Alaska, clade 3b in eastern Alaska, and clade 4 in the south-
ern distribution of the species in continental North America (Davison
et al., 2011; Hirata et al., 2013).
The eastern clade present in Europe (3a) divides further into sub-
clades 3a1 and 3a2 (Hirata et al., 2013). Subclade 3a1 extends from
ANIJALG ET AL. | 395
Fennoscandia to East Asia, and into North America (Keis et al.,
2013; Korsten et al., 2009; Murtskhvaladze, Gavashelishvili, & Tarkh-
nishvili, 2010; Saarma & Kojola, 2007; Waits, Talbot, Ward, &
Shields, 1998). Other clades in Asia appear geographically rather
confined: clade 3a2 to central Hokkaido, 3b to eastern Hokkaido,
the Russian Far East and southern Siberia (Tomsk region), clade 4 to
southern Hokkaido, and clade 5 to Tibet (Guskov, Sheremeteva,
Seredkin, & Kryukov, 2013; Hirata et al., 2013; Salomashkina, Kholo-
dova, Tutenkov, Moskvitina, & Erokhin, 2014).
Although broad patterns of mitogenomic composition are known
for Asian brown bear populations, phylogeographical syntheses of
these patterns remain tentative. The widespread sublineage 3a1 is
believed to have emerged from multiple glacial refugia, but the loca-
tions of putative areas in Asia remain unknown. The Siberian plains
and mountains were largely unglaciated during the LGM, represent-
ing potential refugia (Davison et al., 2011). Indeed, several studies
have suggested that the Altai-Sayan region in south-central Siberia
was one of the most important Asian refugia during the Late Pleis-
tocene, due to its stable climatic conditions and species richness
throughout this period of time (Pavelkov�a �Ri�c�ankov�a, Robovsk�y, &
Riegert, 2014; Pavelkov�a �Ri�c�ankov�a, Robovsk�y, Riegert, & Zrzav�y,
2015). Moreover, modern humans are known to have inhabited the
Altai region for at least 45 kyr (Goebel, 1999) and the area played a
significant role in the peopling of Siberia and North America (Dulik
et al., 2012). Reconstructing the migrations of modern humans dur-
ing the Late Pleistocene and early Holocene (c. 50–10 kya) poses a
major challenge, because of the small population size and low den-
sity of archaeological sites during this period. However, other large
mammal species that shared similar ecological demands as modern
humans, such as the brown bear, wapiti (Cervus canadensis; Meiri
et al., 2014) and grey wolf (Canis lupus; Koblm€uller et al., 2016), rep-
resent a largely unexploited source of information that can also
improve our understanding of the drivers of ancient population pro-
cesses in modern humans.
Several other geographical regions are of potential relevance for
understanding genetic diversity in Asia and links with the adjacent
regions of Europe and North America. First, there is evidence to sug-
gest that the Ural Mountains acted as a glacial refugium for animals
and modern humans at the border of Europe and Asia (Svendsen
et al., 2010). Another refugium is believed to have been located in
Beringia, the area stretching from the Verkhoyansk Mountains and
Lena River Basin in eastern Eurasia to Alaska and the Northwest
Territories of Canada in North America. Compared with areas of sim-
ilar latitude, the climate in Beringia stayed relatively mild and ice-free
during the LGM due to the warm North Pacific circulation (Lambeck,
Yokoyama, & Purcell, 2002). The Bering Land Bridge, which emerged
during times of low sea level, allowed migrations of mammals
between Eurasia and North America several times during the Pleis-
tocene.
The aim of this study was to investigate the Late Pleistocene
phylogeographical history of brown bears in Eurasia and their colo-
nization of North America. We sequenced the complete mitochon-
drial genomes of 110 brown bears across Eurasia and included
publicly available data from Eurasia to North America in a dated phy-
logenetic analysis. We hypothesized that: (1) the widely distributed
clade 3a1 would display Eurasia-wide structure that has not been
apparent using lower-resolution genetic markers; and (2) populations
were restricted to refugia in the areas of Altai, Beringia and the
Urals, such that the ages of the clades containing individuals from
these areas are consistent with the timing of glacial restriction. We
also compared our data with existing information from modern
humans and other mammal species to assess the generality of Late
Pleistocene migration scenarios.
2 | MATERIALS AND METHODS
Tissue samples from 110 brown bears, legally harvested between
1999 and 2010 for purposes other than this study, were used for
full mitochondrial DNA sequencing. These included three from
Romania, five from Estonia, five from Sweden, 10 from Finland and
87 from the Russian Federation (Figure 1). For DNA extraction, we
used the High PCR Template Preparation Kit (Roche Diagnostics,
Mannheim, Germany) following the manufacturer’s instructions.
PCR and sequencing of the complete mitochondrial genomes
was done as described by Keis et al. (2013), with a modified set of
primers; we replaced six primers with newly designed ones to
improve mitogenome assembly (Table S1 in Appendix S1). All
sequences have been deposited in GenBank (accession numbers
KY419593–KY419702). For phylogenetic analysis, we added
sequences from 138 brown bears and 33 polar bears (U. maritimus)
from GenBank (Table S4 in Appendix S1). In total, our data set con-
tained 281 mitogenome sequences from brown bears and polar
bears.
To estimate the matrilineal phylogeny and evolutionary time-
scale of brown bears, we analysed complete mitogenomes using a
Bayesian approach in BEAST 1.8.4 (Drummond, Suchard, Xie, & Ram-
baut, 2012). The best-fitting partitioning scheme was chosen based
on the Bayesian information criterion using PartitionFinder (Lanfear,
Calcott, Ho, & Guindon, 2012), which partitioned the alignment
into six subsets: D-loop, rRNA genes, tRNA genes, and the three
codon positions of all 13 protein-coding genes. We compared con-
stant-size and skyride coalescent models for the tree prior using
Bayes factors in BEAST, calculated using the stepping-stone estimator
of the marginal likelihood (Xie, Lewis, Fan, Kuo, & Chen, 2011).
The constant-size model was decisively favoured (BF > 100) and
we used this to provide the prior for the tree topology and relative
node times.
We analysed the partitioned alignment using a strict molecular
clock, owing to the intraspecific nature of the data. Preliminary anal-
yses using a more parameter-rich uncorrelated lognormal relaxed
clock led to poor mixing and convergence in our analyses. A rate
multiplier was specified for each data subset. The molecular clock
was calibrated by the inclusion of a sequence from an ancient polar
bear (age 120,000 years; GU573488). Estimates of posterior distri-
butions were obtained via Markov chain Monte Carlo sampling, with
396 | ANIJALG ET AL.
samples drawn every 5,000 steps over a total of 50,000,000 steps.
Each analysis was run in duplicate and the samples were combined
after removing the first 10% as burn-in. We checked that the effec-
tive sample sizes of all parameters were >200.
We performed a date-randomization test to investigate the
performance of the sequence ages as calibrations for the molecu-
lar clock (Ramsden, Holmes, & Charleston, 2009) and generated
10 replicate data sets in which the sequence ages were randomly
reassigned. The mean rate estimate from the original data set was
not included in the 95% credibility intervals (CI) of the rate esti-
mates from any of the 10 date-randomized replicates. Further-
more, the rate estimates from the date-randomized replicates had
long lower tails that spanned multiple orders of magnitude. In
combination, these features suggest that the original data set has
sufficient temporal structure and spread for calibrating the esti-
mate of the rate (Duchene, Duchene, Holmes, & Ho, 2015; Ho
et al., 2011).
As an independent check on the reliability of the rate estimate,
we analysed the data using two other tip-dating methods: root-to-
tip regression and least-squares dating. For both of these methods,
we inferred a phylogenetic tree using maximum likelihood with 100
random starts in RAxML 8.2.4 (Stamatakis, 2014). The inferred phy-
logram was then used for regression of root-to-tip distances against
sampling time in TempEst (Rambaut, Lam, Carvalho, & Pybus, 2016)
and for least-squares dating in LSD (To, Jung, Lycett, & Gascuel,
2016).
3 | RESULTS
Our Bayesian phylogenetic analysis of 281 mitogenome sequences
from brown bears to polar bears distinguished eight clades (Fig-
ure 2). According to the prevailing terminology (Davison et al., 2011;
Hirata et al., 2013), these clades are: 1 and 2a (and 2b for polar
bears) representing the western lineage; and 3a1, 3a2, 3b, 4 and 5
representing the eastern lineage. All newly sequenced samples fell
into the widely distributed clade 3a1, except for one sample from
Sweden which belonged to western clade 1.
In our Bayesian phylogenetic analysis, the mitogenomic mutation
rate was estimated at 2.48 9 10�8 mutations per site per year, with a
95% CI of 1.93 9 10�8 to 3.04 9 10�8 mutations per site per year.
This estimate was slightly lower than the estimate based on regression
of root-to-tip distances against sample age (3.35 9 10�8 mutations
per site per year), but similar to the rate estimated using least-squares
dating (2.84 9 10�8 mutations per site per year).
The most recent common ancestor (MRCA) of clade 3a1 lived
c. 45 kya (95% CI: 31–58 kya) (Figure 2; see also Table S2 and
Table S3 for 95% CIs, in Appendix S1). This split separated brown
bears currently inhabiting Romania and Bulgaria from the rest of the
3a1 clade. The latter diverged 37 kya (95% CI: 27–48 kya) into two
large subclades: (1) a Kamchatkan–Alaskan subclade comprising bears
from Alaska and Kamchatka (34 kya, 95% CI: 24–44 kya); and (2) a
Eurasian subclade that includes bears inhabiting the vast area from
eastern Europe to the Russian Far East (32 kya, 95% CI 23–42 kya).
F IGURE 1 Map showing locations ofEurasian and North American brown bearsanalysed in this study: 110 newlysequenced mitogenomes (circles) and 138from databases (triangles). Colourscorrespond to clades in Figure 2[Colour figure can be viewed atwileyonlinelibrary.com]
ANIJALG ET AL. | 397
Following the formation of the Kamchatkan-Alaskan subclade,
the Alaskan bears separated from the Kamchatkan bears (27 kya,
95% CI 19–36 kya). The latter formed two clusters: “to E-Kam-
chatka” (14 kya, 95% CI 7–21 kya), consisting mostly of bears
inhabiting the north-eastern part of the peninsula; and “to W-Kam-
chatka” (25 kya, 95% CI 17–33 kya), largely represented by bears
from the south-western part of the peninsula. The Eurasian subclade
divided into lineages that reached Primorye, Sakhalin, and Kam-
chatka (27 kya, 95% CI 18–37 kya) and one that spread widely in
Eurasia (29 kya, 95% CI 21–38 kya). The latter divided further into
two: bears that eventually reached Europe and bears that migrated
to the Urals and to Magadan region, with only minimal overlap in
the Perm and Sverdlovsk regions.
4 | DISCUSSION
Although the phylogeography of European mammals has been stud-
ied fairly extensively, we have only a fragmentary understanding of
the phylogeographical processes affecting mammals in the vast terri-
tory of northern Eurasia. An important step towards improving this
knowledge is to gain a reliable estimate of the evolutionary rate and
time-scale of each species (Ho, Saarma, Barnett, Haile, & Shapiro,
2008). Our analyses confirm previous suggestions that a single
ancient DNA sequence can be sufficient for calibrating the molecular
clock, provided that it is sufficiently old in comparison with the evo-
lutionary time-scale of the samples in the data set (Molak, Lorenzen,
Shapiro, & Ho, 2013). This is further supported by the consistency in
our estimates of the mutation rate using three different methods.
To date, only shallow regional genetic structure has been
detected among several mammal species occurring across northern
Eurasia (e.g. Hindrikson et al., 2017; Korsten et al., 2009). However,
that emerging picture is by no means definitive, as these compar-
isons were made using relatively short mitochondrial sequences
(Davison et al., 2011). Based on our analyses of complete mitogen-
ome data, we propose several scenarios of brown bear migration
across Eurasia and to North America during the last 50 kyr
(Figure 3).
F IGURE 2 Bayesian phylogenetic tree of brown bears inferred from mitochondrial genomes. The numbers on nodes and after cladesrepresent posterior mean estimates of the ages of different bear lineages, with numbers in parentheses representing the 95% credibilityintervals. Red circles at nodes represent posterior probabilities >0.95. The blue vertical columns represent long cold periods according to Ahnand Brook (2014). The tree is drawn to a time-scale, with node ages given in thousands of years before present. Colours indicate differentmitochondrial clades. Colours of clades correspond to those in Figure 1 [Colour figure can be viewed at wileyonlinelibrary.com]
398 | ANIJALG ET AL.
4.1 | Spatial distribution of bear clade 3a in theLate Pleistocene
The full distribution of clade 3a bears around 50 kya remains
unknown, but existing data indicate that the distribution could have
been wide. Two radiocarbon-dated 3a bear samples are known from
this period, both c. 47 ky old: one from Ramesch Cave, Austria
(Hofreiter et al., 2004) and the other from Tain Cave in the Urals,
Russia (Bray, 2010). The distribution of clade 3a probably reached
even farther east. One of the arguments to support this is the
F IGURE 3 Possible distribution and migration scenarios of brown bears from clade 3a1 in the Late Pleistocene. Colours correspond tothose in Figures 1 and 2. Excerpts of the corresponding parts of the phylogenetic tree (according to Figure 2) are shown on the right of eachpanel. Subfossils are marked by large brown circles [Colour figure can be viewed at wileyonlinelibrary.com]
ANIJALG ET AL. | 399
divergence of 3a1 and 3a2 that started c. 53 kya (95% CI: 38–
71 kya). As 3a2 bears are found only in Hokkaido (Hirata et al.,
2013), the likely distribution of 3a bears before the split extended to
eastern Asia. The vast distribution is also supported by the biotope
map in Hoogakker et al. (2016) which shows that around 54 kya
boreal and temperate forests covered a continuous area from west-
ern Europe to the Russian Far East (Figure 4c). The wide distribution
of the 3a lineage might have been ruptured by significant global cli-
mate cooling about 48–54 kya (Kindler et al., 2014), with these
bears potentially restricted to different refugia (Figure 3a).
The most recent common ancestor of clade 3a1 lived 45 kya
(95% CI: 31–58 kya). This clade split into two mitochondrial lineages,
the first of which is represented by bears from Romania to Bulgaria.
These might be descendants of ancient bears that lived in central
Europe c. 50 kya (e.g. the individual from Ramesch Cave) that found
refuge south of the Carpathian Mountains. The Carpathian region
probably acted as a glacial refugium for brown bears, as previously
suggested by Sommer and Benecke (2005) and Saarma et al. (2007),
and also for other species, such as the common vole (Microtus arva-
lis) (Stojak, McDevitt, Herman, Searle, & W�ojcik, 2015) and weasel
(Mustela nivalis) (McDevitt et al., 2012). Two other Romanian sam-
ples belonged to the much larger second lineage of 3a1 (Figure 2),
which moved across Eurasia and to North America. This suggests
that bears made their way to the Carpathians (Romania) not only
from the north (central Europe), but also from the east (from the
Altai-Sayan region, discussed below).
The clade that spread throughout Eurasia and part of North
America shared a most recent common ancestor about 37 kya (95%
CI: 27–48 kya; Figure 3b). Several lines of evidence suggest that this
ancestral population was restricted to a refuge area in the mountain-
ous Altai-Sayan region of Central Asia. This region is known as a bio-
diversity hotspot for temperate flora and fauna, having maintained
high ecological stability since the Late Pleistocene (Allen et al., 2010;
Huntley et al., 2013). Detailed analysis of the Late Pleistocene mam-
mal assemblages in the Altai region has shown that no significant
changes in composition or ecological structure occurred between the
F IGURE 4 Maps showing the extent ofdifferent biotopes (a) 6 kya, (b) 21 kya and(c) 54 kya (modified from Hoogakker et al.,2016). Note that the precise distribution ofbiotypes – for example the extent of forestin central Eurasia in periods (b) and (c) –comes with a degree of uncertainty (seeHoogakker et al., 2016 for discussion)Potential refuge areas are shown withdashed lines [Colour figure can be viewedat wileyonlinelibrary.com]
400 | ANIJALG ET AL.
Late Pleistocene and the Holocene, providing a modern analogue for
the Pleistocene communities (Agadjanian & Serdyuk, 2005;
Pavelkov�a �Ri�c�ankov�a et al., 2014, 2015).
The Altai-Sayan region is at the geographical centre of the brown
bear 3a1 distribution, making it the most parsimonious location for
the ancestral refuge area. Furthermore, historical bear samples exhi-
bit higher genetic diversity in this region than elsewhere in northern
Eurasia (Hirata, Abramov, Baryshnikov, & Masuda, 2014). The Altai-
Sayan region is likely to have served as an important glacial refugium
for modern humans and as an important route for the peopling of
northern Asia (Derenko et al., 2014).
4.2 | Colonizing North America
One of the major subclades of 3a1 bears headed towards Beringia,
eventually colonizing Kamchatka and Alaska. Bears from the other
major subclade of 3a1 dispersed widely throughout Eurasia. Interest-
ingly, bears in the Magadan area, a region close to Kamchatka, were
neither part of the migration wave that colonized the Kamchatka
Peninsula, nor part of the wave that entered North America. Rather,
these bears apparently did not move farther north-east. However,
we found a bear from the east Asian migration in Kamchatka (Fig-
ure 3c), suggesting that some bears from this population eventually
reached Kamchatka, perhaps somewhat later than bears that were
part of the earlier migration that colonized North America.
Brown bears belonging to the Kamchatkan-Alaskan mitochondrial
subclade apparently entered western Beringia before the beginning
of the LGM, because north-eastern territories outside Beringia were
mainly polar desert during the LGM and unsuitable for brown bears
(Ray & Adams, 2001). Indeed, Pitulko et al. (2004) described c. 34-
kyr-old brown bear remains at the Yana site (Yana RHS), whereas
Bray (2010) was able to sequence a 135-bp mitochondrial fragment
of a c. 30-kyr-old brown bear sample from Indigirka area that
belonged to clade 3a. Both sites are in western Beringia, providing
evidence that brown bears were present there before the LGM.
Moreover, our data suggest that the Kamchatkan-Alaskan subclade
also reached western Beringia around that time (see discussion
about Kamchatka below). There is no biotope map relating to this
time period, but the 54 kya map shows an almost continuous distri-
bution of boreal forest from Eurasia to central Beringia (Figure 4c).
Around 37 kya this distribution was probably interrupted by abrupt
climate change, thus separating the Kamchatkan-Alaskan subclade.
The MRCA of the Alaskan brown bears lived 22 kya (95% CI:
13–32 kya; Figure 2). The most likely location of these bears was
west of the current Bering Strait, where they remained for about 6–
7 thousand years (Beringian Standstill), before crossing the Bering
Land Bridge and reaching Alaska c. 15 kya. The Beringian Standstill
hypothesis was originally proposed for migrations of modern
humans, whereby the ancestors of Native Americans remained in
western Beringia for thousands of years before migrating to North
America (Tamm et al., 2007). During this time the climatic conditions
were unsuitable for modern humans at higher latitudes outside the
land bridge (Hoffecker, Elias, & O’Rourke, 2014). The biotope map
describing the LGM (Figure 4b) shows that central Beringia was cov-
ered by boreal forest, providing suitable habitat for brown bears.
There has been growing genetic support for the standstill hypothesis
(Watson, 2017), including evidence from ancient mitochondrial gen-
omes from modern humans (Llamas et al., 2016). A study of wapiti
also found that this species was present in western Beringia
c. 50 kya, but did not advance to North America until 15 kya (Meiri
et al., 2014).
The favourable conditions for many plant and animal species in
western and central Beringia during the LGM are believed to have
been caused by the North Pacific circulation, which brought warm
and moist air to the area (Brubaker, Anderson, Edwards, & Lozhkin,
2005; Hoffecker et al., 2014; Willerslev et al., 2014). However, such
good conditions were not available in eastern Beringia before
15 kya. Here the environment was apparently a cold, semi-arid, and
treeless steppe-tundra, suitable only for species adapted to extreme
cold, such as woolly mammoths (Mammuthus primigenius) (Guthrie,
2001).
Synchrony in the timing of colonization and expansion implies
that the ecology of large mammals, such as the wapiti and brown
bear, includes key limiting factors that can enhance our understand-
ing of the ancient movements of modern humans (Meiri et al.,
2014). However, despite similarities between the migrations of
brown bears and modern humans towards North America c. 15 kya,
there are also some important differences. Brown bears are known
to have colonized North America earlier; clades 2c, 3c, and 4 were
already in North America before the last glaciation (Barnes, Matheus,
Shapiro, Jensen, & Cooper, 2002; Davison et al., 2011). The genetic
diversity of Beringian brown bears in the pre-glacial period
(c. 40 kya) was higher than that of modern North American popula-
tions, but by 15 kya the genetic diversity was similar to that of con-
temporary bears in the New World (Leonard, Wayne, & Cooper,
2000).
4.3 | Colonizing the Kamchatka Peninsula
The extent and timing of the last glaciation in Kamchatka were lar-
gely influenced by the Laurentide Ice Sheet (Barr & Solomina, 2014).
The ice is believed to have advanced in two major stages in Late
Pleistocene Kamchatka: the first advance was extensive and
occurred between 60 and 31 kya; the more recent advance was less
extensive, characterized primarily by mountain glaciation, and coin-
cided with the LGM. The MRCA of brown bears that colonized
North America and Kamchatka was dated to 34 kya (95% CI: 24–
44 kya), coinciding with the end of the major glaciation on Kam-
chatka. At this point, bears would have been able to occupy the ter-
ritory in the vicinity of the peninsula, or even enter the peninsula to
some extent. The biotope map (Figure 4b) shows that boreal forests
were present to a limited extent in northern Kamchatka during the
LGM, making it a suitable habitat for brown bears that later colo-
nized the peninsula.
Kurt�en (1968) mentioned that the American broad-skulled bears
morphologically resemble the Kamchatkan bears, whereas the
ANIJALG ET AL. | 401
American narrow-skulled bears are more similar to the bears from
north-eastern Siberia. The morphological resemblance might be the
result of diet, because the largest bears occur in regions where they
have access to large amounts of meat, especially salmon (Hilderbrand
et al., 1999). Another mammal species, the northern red-backed vole
(Myodes rutilus), exhibits a similar Kamchatkan-Alaskan clade (Kohli,
Fedorov, Waltari, & Cook, 2015). The close phylogenetic association
between Alaskan and Kamchatkan populations in these two species
points to a migration pattern that might also be shared by other
mammals.
4.4 | Large-scale migrations across Siberia andexpansion to Europe
The MRCA of the Eurasian subclades was dated to 32 kya (95% CI:
23–42 kya). At this point, most of the Eurasian bears split from the
branch that today can be found in the Primorye region, Sakhalin
Island and Kamchatka, suggesting that at least some bears managed
to reach Kamchatka after the initial colonization of the peninsula
(Figure 3c). Bears from this subclade were probably restricted to a
refuge area in the Far East during the LGM, a plausible region being
the Manchurian Plain. According to the climate model by Hoogakker
et al. (2016), around 21 kya the Manchurian Plain was suitable for
boreal and temperate forests, making it potentially habitable for
brown bears (Figure 4b).
The other Eurasian branch split into two around 29 kya (95% CI:
21–38 kya; Figure 3d). One of the lineages moved west towards the
Ural Mountains and the other eastward. The Ural Mountains have
been suggested as a LGM refugium for several animal species, such
as the field vole (Microtus agrestis) (Jaarola & Searle, 2002). The
MRCA of European bears lived around 25 kya (95% CI: 17–32 kya)
and, as conditions improved, this lineage colonized eastern and
northern Europe, reaching Romania (Figure 3d). The clade that
remained east of the Ural Mountains started to diverge about
25 kya (95% CI: 17–34 kya; Figure 3d). One lineage migrated
towards the Ural Mountains and the other towards Magadan region.
Although the western migration reached the Ural Mountains, this lin-
eage has not been found farther west than the Perm region on the
western slopes of the Urals. As with the 3a1 clade in brown bears,
the common juniper (Juniperus communis) also has a dominant and
widespread clade in Eurasia (Hantemirova et al., 2017), although it
does not reach as far east.
In conclusion, our mitogenome analysis of brown bears in Eurasia
and North America demonstrates that this species shared several
population processes in common with wapiti and modern humans
during the last 50 thousand years, including the Beringian Standstill.
This suggests that wild mammal species and modern humans
responded to the same key limiting factors in the Late Pleistocene.
ACKNOWLEDGEMENTS
The authors thank three anonymous reviewers for their insightful
comments and suggestions, and Dr. Frank Zachos for his generous
help. We also thank Eline Lorenzen for providing sequence data. This
work was supported by the institutional research funding (grant
IUT20-32) from the Estonian Ministry of Education and Research;
BIOGEAST – Biodiversity of East-European and Siberian large mam-
mals on the level of genetic variation in populations, 7th Framework
Programme (contracts 247652 and 2096/7. PR UE/2011/2); Aus-
tralian Research Council; Swedish Environmental Protection Agency;
Norwegian Environment Agency; Research Council of Norway; and
the Finnish Ministry of Agriculture and Forestry.
ORCID
Urmas Saarma http://orcid.org/0000-0002-3222-571X
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BIOSKETCH
Peeter Anijalg is interested in brown bear phylogeography and
population genetics, and the impact of climate change on ancient
and contemporary animal population processes. The remaining
authors have broad interests in molecular ecology, phylogeogra-
phy and biogeography, particularly relating to animals of the Late
Pleistocene and Holocene.
Author contributions: U.S. and P.A conceived the original idea;
all authors collected the data; P.A., S.Y.W.H., K.B., J.D. and U.S.
analysed the data; P.A., S.Y.W.H., J.D. and U.S. wrote the first
draft of the manuscript and all authors contributed to writing
the final version.
SUPPORTING INFORMATION
Additional Supporting Information may be found online in the sup-
porting information tab for this article.
How to cite this article: Anijalg P, Ho SYW, Davison J, et al.
Large-scale migrations of brown bears in Eurasia and to
North America during the Late Pleistocene. J Biogeogr.
2018;45:394–405. https://doi.org/10.1111/jbi.13126
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