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Population Demography and Genetic Diversity in the Pleistocene Cave Lion Cover

Population Demography and Genetic Diversity in the Pleistocene Cave Lion

Open Access
|Mar 2015

Figures & Tables

figures/Fig01_web.jpg
Figure 1

Geographic distribution of the Pleistocene cave lion. Origins of successfully amplified samples from this study (black circles), and from the study by Barnett et al. (2009) (white circles). The three geographic regions are highlighted; Europe (blue), Siberia (red) and Alaska plus Yukon (yellow).

Table 1

Population summary statistics. Nucleotide diversity, π; gene diversity, Hd; number of polymorphic sites, S; and Tajima’s D, Td. Standard deviations of nucleotide diversity and gene diversity estimates are provided between parentheses. CR: Control Region. Time Period is given in thousands (K) of calendar years before present. *: sample EE26 was excluded for estimating the different summary statistics as the sequence recovered was only partial. NA: Not determined as the number of sequences available was not sufficient.

Gene partitionPopulationTime PeriodNLength (bp)πHdTdS
CREurope52–16K82050.01167 (0.00218)0.929 (0.084)-0.54097
Siberia33–14K102060.00367 (0.00157)0.551 (0.164)-1.03453
Siberia62–48K*132060.00884 (0.00190)0.872 (0.067)-1.1388
Alaska22–14K92040.00191 (0.00081)0.389 (0.164)0.15651
P. atrox33–13K31950.01368 (0.00645)0.667 (0.314)NA4
P. leoModern162010.00829 (0.00160)0.833 (0.072)-0.73987
ATP8Europe52–16K31430.01399 (0.00491)1.000 (0.272)NA3
Siberia33–14K91430.01049 (0.00478)0.583 (0.183)-1.39846
Siberia62–41K141430.00200 (0.00166)0.143 (0.119)-1.48072
Alaska22–14K314300NA0
P. leoModern31430.01399 (0.00491)1.000 (0.272)NA3
CR + ATP8Europe52–16K33490.01146 (0.00403)1.000 (0.272)NA6
Siberia33–14K93490.00669 (0.00233)0.806 (0.120)-1.35949
Siberia62–41K113490.00636 (0.00173)0.873 (0.089)-1.491210
Alaska22–14K33480.00192 (0.00090)0.667 (0.314)NA1
P. leoModern33500.01143 (0.00381)1.000 (0.272)NA6
figures/Fig02_web.jpg
Figure 2

Population models tested using serial-coalescent simulations. Letters indicate the parameters sampled from priors distributions (other than mutation rates): T, M, I, and Ne, all sampled from uniform distributions. Dashed line indicates the timing (t) of important events: sudden change in population size (priors set to 11.2-25,000 cal a BP in the most recent event of model 3, and 25-60,000 cal a BP for the oldest event in model 3 and events in models 2, 7 and 8), stop in migration (coinciding with times of demographic change), and geographic split (60-75,000 cal a BP in models 5 to 8). Arrows indicate migration (M) set with priors ranging from 0 to 1% of migrants per generation while I is the intensity of the demographic change set with a prior between 1 to 10 times the size of the previous or posterior population change. Support values are listed below each model, for the two calibration rates used. Maximal marginal likelihood is reported with an asterisk.

figures/Fig03_web.jpg
Figure 3

Posterior distributions of the parameters in model 3. The posterior distributions were estimated using an approximate Bayesian computation procedure and a mutation rate resulting from a tip and split calibration with BEAST v1.6.1. Prior distributions are shown as bars and dotted lines indicate 95 % credibility intervals. a) Female effective size (Nfe) of the population following the demographic bottleneck (number of haploid gene copies). b) Magnitude of the demographic change of each event as a ratio of the larger population size to the smaller one; decline (right curve) and recovery (left curve). c) Timing of the demographic decline (right curve) and recovery (left curve).

figures/Fig04_web.jpg
Figure 4

Haplotypes in network and temporal graph. a) Median-joining network analysis based on the control region sequence, including samples from Barnett et al. (2009). Letters represent haplotypes given in table 1 and colors correspond to geographic region. Small crossing bars represent number of mutations between haplotypes. Since haplotype Y5 is based on an incomplete sequence it is connected with a dashed line. b) Temporal arrangement of samples (including those from the study of Barnett et al. (2009)) and their respective haplotypes. The estimated bottleneck in Beringia is shaded and delimited by the mode values. Dotted lines show 95% credibility intervals. Extended and faded timelines have been added for samples lacking a finite date.

Table 2

Support for different population demographic models using BEAST and tip calibration. The marginal log likelihood of each model, as well as Bayes Factors (logBF) between alternative models and best models are shown. Different sets of sequences originating from restricted or large geographic regions were considered in order to test for population structure as a possible confounding factor.

PopulationsModellog LikelihoodlogBF
SiberiaConstant-375.5 (0.144)-0.355
SiberiaSkyline-376.0 (0.142)-0.553
SiberiaSkyride-374.7 (0.121)*
Siberia + AlaskaConstant-385.3 (0.145)-0.258
Siberia + AlaskaSkyline-384.7 (0.133)*
Siberia + AlaskaSkyride-385.0 (0.135)-0.099
Siberia + Alaska + EuropeConstant-434.4 (0.183)-0.433
Siberia + Alaska + EuropeSkyline-433.4 (0.177)*
Siberia + Alaska + EuropeSkyride-433.7 (0.189)-0.128
Table 3

Parameter estimations of model 3 using ABC. Estimations of: effective population size after the bottleneck (Ne1), magnitude of expansion (Ne1/Ne2), magnitude of decline (Ne3/Ne2), time (cal a BP) to the end of the decline (T1), and time to the beginning of the decline (T2).

ModeMedian95% C.I.
Ne110001476129.648658.4
Ne1/Ne20.150.27960.04320.9933
Ne3/Ne20.050.06330.01470.4392
T118000174811225224507
T246500416032848254754
DOI: https://doi.org/10.5334/oq.aa | Journal eISSN: 2055-298X
Language: English
Published on: Mar 9, 2015
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2015 Erik Ersmark, Ludovic Orlando, Edson Sandoval-Castellanos, Ian Barnes, Ross Barnett, Anthony Stuart, Adrian Lister, Love Dalén, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.