Divergence population genetics of chimpanzees.
ABSTRACT The divergence of two subspecies of common chimpanzees (Pan troglodytes troglodytes and P. t. verus) and the bonobo (P. paniscus) was studied using a recently developed method for analyzing population divergence. Under the isolation with migration model, the posterior probability distributions of divergence time, migration rates, and effective population sizes were estimated for large multilocus DNA sequence data sets drawn from the literature. The bonobo and the common chimpanzee are estimated to have diverged approximately 0.86 to 0.89 MYA, and the divergence of the two common chimpanzee subspecies is estimated to have occurred 0.42 MYA. P. t. troglodytes appears to have had a larger effective population size (22,400 to 27,900) compared with P. paniscus, P. t. verus, and the ancestral populations of these species. No evidence of gene flow was found in the comparisons involving P. paniscus; however a clear signal of unidirectional gene flow was found from P. t. verus to P. t. troglodytes (2Nm = 0.51).
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ABSTRACT: Background The current taxonomy of the African giraffe (Giraffa camelopardalis) is primarily based on pelage pattern and geographic distribution, and nine subspecies are currently recognized. Although genetic studies have been conducted, their resolution is low, mainly due to limited sampling. Detailed knowledge about the genetic variation and phylogeography of the South African giraffe (G. c. giraffa) and the Angolan giraffe (G. c. angolensis) is lacking. We investigate genetic variation among giraffe matrilines by increased sampling, with a focus on giraffe key areas in southern Africa. Results The 1,562 nucleotides long mitochondrial DNA dataset (cytochrome b and partial control region) comprises 138 parsimony informative sites among 161 giraffe individuals from eight populations. We additionally included two okapis as an outgroup. The analyses of the maternally inherited sequences reveal a deep divergence between northern and southern giraffe populations in Africa, and a general pattern of distinct matrilineal clades corresponding to their geographic distribution. Divergence time estimates among giraffe populations place the deepest splits at several hundred thousand years ago. Conclusions Our increased sampling in southern Africa suggests that the distribution ranges of the Angolan and South African giraffe need to be redefined. Knowledge about the phylogeography and genetic variation of these two maternal lineages is crucial for the development of appropriate management strategies.BMC Evolutionary Biology 10/2014; 2014(14):219. · 3.41 Impact Factor
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ABSTRACT: Recent literature has revealed the importance of variation in neuropeptide receptor gene sequences in the regulation of behavioral phenotypic variation. Here we focus on polymorphisms in the oxytocin receptor gene (OXTR) and vasopressin receptor gene 1a (Avpr1a) in chimpanzees and bonobos. In humans, a single nucleotide polymorphism (SNP) in the third intron of OXTR (rs53576 SNP (A/G)) is linked with social behavior, with the risk allele (A) carriers showing reduced levels of empathy and prosociality. Bonobos and chimpanzees differ in these same traits, therefore we hypothesized that these differences might be reflected in variation at the rs53576 position. We sequenced a 320 bp region surrounding rs53576 but found no indications of this SNP in the genus Pan. However, we identified previously unreported SNP variation in the chimpanzee OXTR sequence that differs from both humans and bonobos. Humans and bonobos have previously been shown to have a more similar 59 promoter region of Avpr1a when compared to chimpanzees, who are polymorphic for the deletion of ,360 bp in this region (+/2 DupB) which includes a microsatellite (RS3). RS3 has been linked with variation in levels of social bonding, potentially explaining part of the interspecies behavioral differences found in bonobos, chimpanzees and humans. To date, results for bonobos have been based on small sample sizes. Our results confirmed that there is no DupB deletion in bonobos with a sample size comprising approximately 90% of the captive founder population, whereas in chimpanzees the deletion of DupB had the highest frequency. Because of the higher frequency of DupB alleles in our bonobo population, we suggest that the presence of this microsatellite may partly reflect documented differences in levels of sociability found in bonobos and chimpanzees. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Data Availability: The authors confirm that all data underlying the findings are fully available without restriction. All newly identified SNP sequences are available from the NCBI database (accession numbers ss1388116469, ss1388116470, ss1388116471, ss1388116472, ss1388116473). Funding: Funds for this study come from the Flemish government, who provides structural support of the CRC of the RSZA, FWO Flanders and the University of Antwerp. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist.PLoS ONE 11/2014; 9(11):e113364. · 3.53 Impact Factor
Divergence Population Genetics of Chimpanzees
Yong-Jin Won and Jody Hey
Department of Genetics, Rutgers the State University of New Jersey, Piscataway, New Jersey
The divergence of two subspecies of common chimpanzees (Pan troglodytes troglodytes and P. t. verus) and the bonobo
(P. paniscus) was studied using a recently developed method for analyzing population divergence. Under the isolation
with migration model, the posterior probability distributions of divergence time, migration rates, and effective population
sizes were estimated for large multilocus DNA sequence data sets drawn from the literature. The bonobo and the
common chimpanzee are estimated to have diverged approximately 0.86 to 0.89 MYA, and the divergence of the two
common chimpanzee subspecies is estimated to have occurred 0.42 MYA. P. t. troglodytes appears to have had a larger
effective population size (22,400 to 27,900) compared with P. paniscus, P. t. verus, and the ancestral populations of these
species. No evidence of gene flow was found in the comparisons involving P. paniscus; however a clear signal of
unidirectional gene flow was found from P. t. verus to P. t. troglodytes (2Nm ¼ 0.51).
Although biological diversity has many causes, the
single most important factor is the physical separation
of populations (Wagner 1889; Dobzhansky 1937; Mayr
1942). Organisms in one population compete and exchange
genes with one another, and they share in processes of
genetic drift and adaptation. When populations split, these
evolutionary forces cease to be shared between popula-
tions, and the populations can thereafter diverge. For many
closely related populations or for the many situations where
different, yet similar, populations have been assigned some
taxonomic status (i.e., subspecies of one common species
or species of a common genus), evolutionary biologists
would like to understand when and how the splitting events
The chimpanzees of Africa, including the sub-
species of the common chimpanzee (Pan troglodytes)
and their sister species, the bonobo or pigmy chimpanzee
(P. paniscus), are of great interest because they are the
closest living species to our own. In recent years, they
have been the subject of many studies on polymorphism
and divergence (Morin et al. 1994; Kaessmann, Wiebe,
and Paabo 1999; Deinard and Kidd 2000; Stone et al.
2002; Fischer et al. 2004). Morphological and genetic data
strongly support the distinct species status of the bonobo
(Shea and Coolidge 1988; Ruvolo et al. 1994; Kaessmann,
Wiebe, and Paabo 1999; Stone et al. 2002; Yu et al. 2003).
In the case of the common chimpanzee, three geo-
graphically defined subspecies have been recognized:
Pan troglodytes verus in western Africa, P. t. troglodytes
in central Africa, and P. t. schweinfurthii in eastern Africa
(Schwartz 1934; Hill 1969; Morin et al. 1994). Recently,
additional populations between the lower Niger River and
Cameroon were proposed as another separate subspecies,
P. t. vellerosus (Gonder et al. 1997; Gonder 2000). The
subspecies designations of Pan troglodytes also have some
support from molecular data, as nuclear and mitochondrial
loci reveal some divergence between the subspecies
(Gagneux et al. 1999; Kaessmann, Wiebe, and Paabo
1999; Deinard and Kidd 2000). However, only in the case
of the mtDNA of P. t. verus was a subspecies found to
have a monophyletic gene tree estimate (Morin et al. 1994;
Gagneux et al. 1999; Gonder 2000). A morphometric
study, using cranial measurements, also found some
divergence between the subspecies, but there was a large
amount of overlap between the subspecies (Shea and
Comparative DNA sequence data can be used to
study divergence, but the relationship between DNA
sequence differences and the timing of population splitting
and the processes associated with population splitting can
be complex. Even under the simplest models, in which an
ancestral population splits into two descendant populations
with no gene exchange thereafter, the amount of di-
vergence in DNA sequences between the two populations
is a complex function of the time since the split and the
relative sizes of the three populations (the two descendants
and the ancestral population) (Wakeley and Hey 1997;
Wang, Wakeley, and Hey 1997). For histories that include
gene flow between diverging populations, the situation is
even more complex because gene flow can create the
appearance of recent divergence even if the actual splitting
events occurred long ago. Whether or not gene flow has
been occurring among chimpanzee species and subspecies
is a question of considerable interest (Morin et al. 1994;
Gagneux et al. 1999; Gonder 2000).
Here, we adapt recently developed methods for fitting
the ‘‘isolation with migration’’ (or IM) model to the
question of how and when chimpanzee species and
subspecies diverged. This Markov chain Monte Carlo
method yields estimates of multiple demographic param-
eters (including divergence time, migration rate, effective
population sizes of two current populations and an
ancestral population) (Nielsen and Wakeley 2001). Hey
and Nielsen (2004) enhanced this method so that a large
number of unlinked loci can be studied jointly to yield
a posterior probability distribution for each of the
demographic parameters in the IM model. We have
applied the IM model to multilocus comparative DNA
sequence data from two of the subspecies of the common
chimpanzee (P. t. troglodytes and P. t. verus) and the
bonobo (P. paniscus). We used the large data set of Yu
et al. (2003) for 50 autosomal loci together with four
other independent DNA data sets from other regions of
Key words: Chimpanzee, Bonobo, Markov chain Monte Carlo,
speciation, gene flow.
Mol. Biol. Evol. 22(2):297–307. 2005
Advance Access publication October 13, 2004
Molecular Biology and Evolution vol. 22 no. 2 ? Society for Molecular Biology and Evolution 2005; all rights reserved.
by guest on June 7, 2013
Materials and Methods
Samples and Loci
The geographical distributions of chimpanzees and
bonobos are represented in figure 1. The loci included in
the study are listed in table 1. Yu et al.’s (2003) data
includes 50 autosomal loci (GenBank accession numbers
AY275957 to AY277244 and AY463943 to AY463951)
sequenced in each of nine bonobos and 17 common
chimpanzees (six P. troglodytes verus, five P. t. troglo-
dytes, two P. t. schweinfurthii, and four individuals of
unknown subspecies). We did not use the sequences of
unknown origin or those from P. t. schweinfurthii because
of the small sample size. We were left with three pairwise
comparisons among the two common chimpanzees sub-
species, P. t. verus and P. t. troglodytes, and the bonobos.
The lengths of the 50 DNA segments range from 371 to
584 bp (average approximately 480 bp). Data for four
other loci were also used: an intergenic region near the
HoxB6 gene (;1 kb [AF116779 to AF116804]) (Deinard
and Kidd 1999); a noncoding region of the X chromosome
in Xq13.3 (10,154 bp [AJ270061 to AJ270095]) (Kaess-
mann, Wiebe, and Paabo 1999); cytochrome b gene (cytb)
of the mtDNA (1,039 bp [AY585833 to AY585844]); and
a portion of the nonrecombining Y chromosome (NRY)
(2,784 bp [AF440112 to AF4401650]) (Stone et al. 2002).
The cytb gene sequences are previously unpublished
data that were provided by Phillip Morin. These sequences
from 12 chimpanzees were obtained using DNA from
blood samples and by the PCR-sequencing method using
flanking tRNA primers L14724 and H15915 (Irwin,
Kocher, and Wilson 1991). Individuals were identified to
subspecies on the basis of collection records. A check of
mtDNA control region sequences in these samples
revealed the same diagnostic subspecies differences pre-
viously found in larger samples (Morin, Moore, and
Woodruff 1992; Morin et al. 1994).
The DNA sequences from the NRY, cytb, HoxB6,
and Xq13.3 regions were collected in separate studies
using mostly different individuals, spanning a range
of sample sizes from five to 77 individuals per subspecies.
Yu et al.’s (2003) DNA sequences for 50 loci were
consistently obtained from the same set of individuals. The
method of analysis assumes that populations are effec-
tively panmictic. If this is approximately true, then the
different sample sizes and the use of two sequences per
individual in the study of Yu et al. (2003) should not
introduce any biases.
The IM analysis requires sequence data from in-
dividual loci that show polymorphic variation within or
between two populations and that do not show evidence of
recombination (Nielsen and Wakeley 2001). Thus, we
excluded those loci that showed no variation within or
between the two taxa being compared in each pairwise
analysis. Yu et al.’s (2003) 50 DNA segments reside in
GenBank as diploid sequence (using IUPAC nucleotide
ambiguity codes) without phase separation among hetero-
zygous nucleotide sites. Because each region is short, it is
unlikely that a given segment would show evidence of
recombination had the data originally been obtained in
haplotype form. Haplotypes were reconstructed using
Clark’s (1990) method, and then examined for evidence
of recombination by the four-gamete test (Hudson and
Kaplan 1985). Under Clark’s method, haplotypes are first
identified in homozygous individuals, after which those
haplotypes already identified are subtracted from relevant
heterozygous individuals to reveal remaining haplotypes.
Approximately half of the loci in each of the analyses had
no individuals who were heterozygous for more than one
base position, in which case haplotype inference is
straightforward. For a small number of loci (either two
or three, depending on the species pair being considered),
the reconstructed haplotypes showed evidence of re-
combination. These loci were excluded from the analysis.
Among the remaining loci, there were two cases in which
Clark’s method leads to two configurations, one of which
was consistent with recombination. In these cases, we used
the haplotype configuration that did not show evidence of
The haplotype reconstruction protocol assumes that
recombination over such short regions has been rare, and it
of history, relative to what would be found if true haplotype
data had been available. For loci with several polymorphic
sites, there can be multiple configurations of reconstructed
haplotypes (Clark 1990). To check the effect of using alter-
native configuration, we also constructed data sets using
alternative configurations for those loci that showed multi-
ple possible haplotype configurations by Clark’s method.
Analyses with these alternative configurations were nearly
identical to those for the primary data set and are available
upon request. The similar results found for alternative
haplotype configurations suggests that with these short loci,
which have few polymorphic sites and little opportunity for
recombination, the analyses are not highly sensitive to the
method of haplotype inference. However, the larger ques-
tion of how IM model analyses are affected by assumptions
of low recombination, or of accurate haplotype inference,
is an important one that has not been directly addressed by
FIG. 1.—Distribution of common chimpanzee subspecies with some
of their geographic boundaries (Schwartz 1934; Hill 1969; Gonder 2000;
Gagneux et al. 2001; Bradley and Vigilant 2002). The subspecies status
of chimpanzees from the west side of the Niger River is phylogenetically
unclear at present (K. Gonder, personal communication).
298Won and Hey
by guest on June 7, 2013
The NRY data, consisting of 10 concatenated loci
(2,784 bp in total consisting of sequence tagged site
[STSs], in order, sY15, sY19, sY65, sY67, sY74, sY84,
sY85, sY123, sY126, and sMCY) (Stone et al. 2002)
showed no evidence of recombination by the four-gamete
criterion. For the mtDNA data used in the analysis of P. t.
verus and P. t. troglodytes, one polymorphic site at the 39
end of the sequence was not congruent with the remainder
DNA Segments Compared in Chimpanzees and Bonobos
Locus DNA (bp)a
P. paniscus and
P. paniscus and
P.t. troglodytes and
NOTE.—Loci that could be included in each species contrast, because of available sequence and an absence of evidence
for recombination, are indicated with a check mark. For the loci of Yu et al. (2003), the number of sequences are 18, 12, and 10
for P. paniscus, P. t. verus, and P. t. troglodytes, respectively. In that same order, the sample sizes for the following loci are 0, 5,
and 7 (CytB); 38, 58, and 18 (HOXB6); 5, 16, and 12 (XQ13); and 7, 77, and 16 (NRY).
aThe size of DNA fragments represents a maximum length chosen among the three comparisons.
bReferences: 1, Yu et al. (2003); 2, Morin et al. (1994); 3, Deinard and Kidd (1999); 4, Kaessmann, Wiebe, and Paabo
(1999); 5, Stone et al. (2002).
Chimpanzee Speciation 299
by guest on June 7, 2013
of the sequence, by the four-gamete criterion. This site was
simply dropped from the analysis. For the HoxB6 and
Xq13.3 data, applications of the four-gamete criterion
revealed evidence of some recombination events. In each
case, we selected the largest fragment of the data that
showed no evidence of recombination. This action
represents a tradeoff between the need to have a large
number of loci, from different portions of the genome, and
the concern that selecting large nonrecombinant blocks
may bias the results. The reason for potential bias is that
the analytical methods assume that loci have been sampled
randomly with respect to their genealogical histories and
that loci not having had recombination are expected to
have shorter gene trees, on average, than other loci (i.e.,
those loci with shorter genealogical histories have had less
time for recombination). This effect is probably quite
subtle, particularly in these cases where the selected
fragments of HoxB6 and Xq13.3 were not less poly-
morphic than those regions that were excluded. The data
sets are summarized in table 1.
IM Model Computations
The posterior probability densities of the parameters
of the IM model are generated by simulating a Markov
chain having a stationary distribution that is proportional
to that density. The basic procedure is to begin a simulation
with a burn-in period (100,000 steps in our analyses), so
that the state of the chain becomes independent of the
starting point, and then to continue the simulation for
a long time while measuring the parameter values
repeatedly over the course of the run. Convergence by
the Markov chain simulations, upon the true stationary
distribution, is assessed by monitoring multiple indepen-
dent chains started at different starting points and by
assessing the autocorrelation of parameter values over the
course of the run. We also used a procedure for swapping
among multiple heated chains (Metropolis coupling) to
further ensure that the distributions we obtained actually
reflected the stationary distributions (Geyer 1992). Each
locus was assigned an inheritance scalar, to adjust for its
relative expected effective population size: 1.0 for
autosomes, 0.25 for mtDNA and NRY, and 0.75 for X-
linked loci. Individual simulations were run for 60 million
updates or more. Metropolis-coupling runs used 10
coupled chains that varied over a range of heating values.
The settings for the prior distributions were empirically
obtained after preliminary running with larger parameter
intervals. This approach violates the spirit of a Bayesian
analysis (in which available prior information is included).
However, we wished to exclude other information from
these analyses and so selected uninformative prior distribu-
When this is done, the posterior probability distributions
are proportional to likelihood distributions, and the param-
eter values associated with the highest likelihoods are
maximum-likelihood estimates (Nielsen and Wakeley
The IM model has six demographic parameters, each
scaled by the overall neutral mutation rate (fig. 2). With
multiple loci, each locus has a mutation rate scalar
parameter such that the product of all mutation rate scalars
is equal to 1. Thus, with multiple loci, the overall neutral
mutation rate represented in the demographic parameters is
the geometric mean of all of the individual locus mutation
rates (Hey and Nielsen 2004). For each of the six
demographic parameters in each analysis, we recorded
the marginal density (as a histogram with 1,000 equally
sized bins) over the course of multiple long simulations.
The peaks of the resulting distributions were taken as
estimates of the parameters (Nielsen and Wakeley 2001).
For credibility intervals, we assessed for each parameter
the 90% highest posterior density (HPD) interval, which
are the boundaries of the shortest span that includes 90%
of the probability density of a parameter.
To convert parameter estimates to more easily
interpreted units, we used the divergence that has occurred
over the approximately 6 Myr since the splitting between
human and chimpanzee lineages (Chen and Li 2001;
Brunet et al. 2002; Vignaud et al. 2002; Glazko and Nei
2003; Wildman et al. 2003). The geometric mean of the
human-chimpanzee DNA sequence divergence of all loci
was calculated and then used to convert the estimate of the
time parameter, t, to divergence in years. We estimated the
geometric mean divergence, between chimpanzees and
humans, separately for each of the three chimpanzee
comparisons because each analysis is based on a slightly
different data set (table 1). The average divergence
between humans and the two taxa examined with the IM
model was estimated as 5.8801 for the P. paniscus–P. t.
verus pair, 5.9945 for the P. paniscus–P. t. troglodytes
pair, and 6.2463 for P. t. troglodytes–P. t. verus pair.
Using the total human/chimpanzee divergence time of 12
Myr, these values correspond to 4.9000831027, 4.99541
3 1027, and 5.205234 3 1027mutation events per locus
per year, for the three different analyses, respectively. The
differences between these values are primarily caused by
some loci being used in only one or two of the three
species comparisons. Using these values estimates of t (the
FIG. 2.—The isolation with migration (IM) model is depicted with
two sets of parameters. The basic demographic parameters are constant
effective population sizes (N1, N2, and NA), gene-flow rates per gene
copy per generation (m1and m2), and the time of population splitting at t
generations in the past. The parameters in the second set (in italics) are all
scaled by the neutral mutation rate u, and it is these parameters that are
actually used in the model fitting.
300Won and Hey
by guest on June 7, 2013
number of mutations since population splitting [see fig 2])
can be directly converted to estimates of the number of
years since population splitting.
To convert the estimates of the population mutation
rate parameters (h1, h2, and hA) to estimates of effective
population size (N1, N2, and NA,respectively), we need
a measure of mutation rate on a scale of generations. We
assumed 15 years per generation for the chimpanzees then
multiplied the estimated mutation rate per year (based on
human/chimpanzee divergence) by 15 years per genera-
tion. These calculations yielded values for the geometric
mean number of mutations per generation per locus of
7.35031026for the P. paniscus–P. t. verus pair, 7.4933
1026for the P. paniscus–P. t. troglodytes pair, and 7.808
3 1026for the P. t. troglodytes–P. t. verus pair. These
mutation rate values were then used to convert individual
h estimates to effective population size estimates (i.e.,
h ¼ 4Nu and N ¼ h/(4u)).
Migration parameters in the model can be used to
obtain population migration rate estimates (i.e., M¼2Nm,
the product of the effective number of gene copies and the
per gene copy migration rate) using an estimate of the
population mutation rate (h¼4Nu). Thus, M¼h3m/2¼
(4Nu 3 m/u)/2 ¼ 2Nm (Hey and Nielsen 2004).
One of the benefits of a method that explicitly
incorporates a changing genealogy for each locus over the
course of the analysis is that the posterior densities of other
quantities that are associated with the genealogy can also
be recorded. We took this approach for migration events
for those cases where the method reveals nonzero migra-
tion rate estimates. For each locus, we measured over the
course of the simulation the distribution of the number of
migration events and the distribution of the average time of
A total of 48 loci were used for the comparison
between the central (P. t. troglodytes) and the western (P. t.
verus) chimpanzees, and 46 loci were used for the two
comparisons involving P. paniscus (table 1). Total lengths
of the multiple aligned DNA sequences amounted to
29,626 bp, 27,169 bp, and 31,188 bp for the three
comparisons in order as listed in table 1. The average
sequence divergence per site between pairs of taxa,
excluding indels, was 0.377% (P. paniscus versus P. t.
troglodytes), 0.362% (P. paniscus versus P. t. verus), and
0.211% (P. t. troglodytes versus P. t. verus).
Repeated runs of the IM program revealed un-
ambiguous marginal posterior probability distributions of
the parameters for all three species comparisons. The
peaks of the primary six parameter values were confined to
fairly narrow ranges with corresponding credibility
intervals illustrated in figure 3.
Pan paniscus and P. troglodytes verus
The maximum-likelihood effective population size
estimates for P. paniscus, P. t. verus, and their ancestral
population were 9,700 (90% HPD interval: 7,300 to
1,2500), 8,500 (6,300 to 11200), and 16,300 (30 to
29,600), respectively (table 2). The distribution of the
ancestral population size parameter is broader and flatter
verus (fig. 3a), as expected if the ancestral population
existed long ago. The marginal posterior probability
distribution of the divergence time parameter, t, revealed
a sharp peak at 0.42, with a narrow distribution (fig. 3c).
When converted to a scale of years, the divergence time
between the two taxa was estimated to be 0.859 MYA with
90% HPD interval of 0.589 to 1.31 MYA (table 2). The
migration parameters revealed a peak at the lower limit of
resolution in both directions (from P. paniscus to P. t. verus
and from P. t. verus to P. paniscus) (fig. 3b). Although it is
could reveal a nonzero peak that is further to the left of the
smallest interval that was measured, we hereafter interpret
the locations of these peaks as being at zero.
Pan paniscus and P. troglodytes troglodytes
In this comparison, the maximum-likelihood effective
population size estimate of P. paniscus was 9,200 (90%
HPD interval: 7,000 to 12,000). This estimate is similar
to that obtained in the analyses between P. paniscus and
P. t. verus comparison. The effective size of the P. t.
troglodytes population was estimated to be 22,400 (90%
HPD interval: 17,000 to 29,300), and the ancestral
effective population size estimate of the two species was
15,300 (90% HPD interval: 1,900 to 26,200) (fig. 3d and
table 2), which is similar to that found in the comparison
between P. paniscus and P. t. verus. P. t. troglodytes
appears to have had the largest effective population size
among the three taxa examined. Unlike P. paniscus and
P. t. verus, which were found to have similar or slightly
smaller population sizes than their ancestral populations,
the estimate for P. t. troglodytes is nearly twice that of the
ancestral population size. Divergence time was estimated
to be 0.89 MYA between P. paniscus and P. t. troglodytes
(90% HPD interval: 0.638 to 1.33 MYA) (fig. 3f and table
2). This estimate is very close to that of the divergence
time between P. paniscuss and P. t. verus, which suggests
that P. t. verus and P. t. troglodytes descended from the
very same ancestral population, diverging from the
ancestor of P. paniscus. This finding is expected, given
phylogenetic studies (Morin et al. 1994; Ruvolo et al.
1994; Gagneux et al. 1999; Stone et al. 2002). Both
migration rate parameters revealed little evidence for gene
flow (fig. 3e and table 2). Although the location of the
highest probability for migration rate from P. t. troglodytes
to P. paniscus (m1[table 2]) was not at the very lowest
value, it is very close in position and height to the lowest
migration value in the histogram (fig. 3e).
Pan troglodytes troglodytes and P. t. verus
The effective population sizes of P. t. troglodytes, P.
t. verus, and their ancestral population were estimated to
be 27,900 (90% HPD interval: 19,600 to 40,700), 7,600
(5,300 to 10,700), and 5,300 (200 to 11,300), respectively
(table 2). These sizes are similar to the estimates from the
comparisons with P. paniscus, with P. t. troglodytes
having the largest effective population size (fig. 3g). The
by guest on June 7, 2013
divergence time was estimated to be 0.422 MYA (90%
HPD interval: 0.255 to 0.629 MYA), with a sharply
peaked marginal posterior distribution (fig. 3i). A
comparisons of divergence times among the three taxa
clearly suggests that the common chimpanzee populations
(P. t. troglodytes and P. t. verus) were descended from
an ancestor that had earlier separated from the lineage
leading to P. paniscus, consistent with other phylogenetic
studies (Morin et al. 1994; Ruvolo et al. 1994; Gagneux et
al. 1999; Stone et al. 2002). Migration rate distributions
suggest a moderate level of gene flow from P. t. verus to
P. t. troglodytes (2Nm¼0.514 [table 2]). Also, because the
estimate of the probability that the migration rate is zero is
itself zero (fig. 3h), we can reject a gene-flow rate of zero
FIG. 3.—The marginal posterior probability distributions for model parameters (scaled by the neutral mutation rate). Curves are shown for the
analysis with P. paniscus and P. t. verus (a), (b), and (c); for P. paniscus and P.t. troglodytes (d), (e), and ( f); and for P. t. troglodytes and P. t. verus
(g), (h), and (i).
302 Won and Hey
by guest on June 7, 2013
in the direction of P. t. verus to P. t. troglodytes. The
estimate of migration in the opposite direction was
estimated to be very near zero (fig. 3h and table 2), with
a peak height that is very near to that at zero.
The finding of gene flow could be caused if one of the
individuals identified as P. t. troglodytes in the study of Yu
et al. (2003) was actually a hybrid or backcross hybrid
between this subspecies and P. t. verus. To check this
possibility, we examined the pairwise sequence divergence
across all 50 loci within and between the subspecies of P. t.
verus and P. t. troglodytes. None of the P. t. troglodytes
individuals were appreciably closer than others to the P. t.
verus individuals (results not shown), arguing against
recent hybridization as the cause of the apparent gene flow.
To take a closer look at gene flow from P. t. verus to
P. t. troglodytes, the distribution of the number and mean
time of migration events were recorded over the course of
the simulations, for each of the loci (table 3). The modal
number of migration events per locus was one, and the
mean time of migration rates was 0.098, which corre-
sponds to 0.186 Myr, roughly half of the divergence time
between P. t. verus and P. t. troglodytes. As shown in table
3, most loci (37 out of 48) had a modal number of
migration events of one, with a few loci having a mode of
zero (loci T2012, T2266, T2988, T812, T946, cytb, and
NRY), two (loci T2019 and T2984), and three migrations
(locus XQ13) during the simulations. It is interesting that
both of the sex-limited loci (cytb of the mtDNA, and NRY)
showed less evidence of gene flow than most other loci,
although an absence of gene flow was expected for the
mtDNA, given previous findings (Morin et al. 1994).
In recent years, the timing and mode of divergence of
the bonobo and the subspecies of common chimpanzees
has received considerable attention, particularly with
regard to whether or not different species and subspecies
have been exchanging genes (Morin et al. 1994; Deinard
and Kidd 1999; Kaessmann, Wiebe, and Paabo 1999;
Gonder 2000; Gagneux and Varki 2001; Kaessmann et al.
2001; Stone et al. 2002; Fischer et al. 2004). We have
conducted a detailed analysis of chimpanzee divergence
using a new protocol that explicitly incorporates di-
rectional gene-flow parameters in a model of population
splitting (Nielsen and Wakeley 2001; Hey and Nielsen
2004). In addition to estimates of population size and
population splitting times, we find clear evidence of gene
flow from P. t. verus to P. t. troglodytes.
Effective Population Size Estimates
Using data from 50 loci, Yu et al. (2003) estimated
the effective population size of P. paniscus, P. t.
troglodytes, and P. t. verus to be 12,400, 20,100, and
13,000, respectively. Our analyses, based primarily on
these same data, also found a larger size for P. t.
troglodytes and smaller sizes for P. paniscus and P. t.
verus (table 2). However, our values for the latter two
species are lower than estimated by Yu et al. (2003), who
based their estimate on the average pairwise divergence
between sequences. This estimator is known to have
a large variance (Tajima 1983) and to be sensitive to the
site frequency distribution of polymorphic sites (Tajima
1989). Our effective population size estimate of 27,900 for
P. t. troglodytes, obtained in the analysis with P. t. verus,
is larger than the values estimated by Yu et al. (2003),
possibly because the IM method explicitly estimates the
effective size since speciation. Given that the estimated
size for P. t. troglodytes is considerably larger than the
estimated size of the ancestral population for this and P. t.
verus (5,300 [table 2]), it appears that the population size
of P. t. troglodytes has grown since this divergence began.
Interestingly, using nine unlinked loci representing 19,000
bp from 14 unrelated individuals, Fischer et al. (2004)
reported that chimpanzees in central Africa have a larger
effective population size (25,000 or 35,000 according to
two different methods) than chimpanzees in western
Maximum-Likelihood Estimatesa(MLE) and the 90% Highest Posterior Density (HPD) Intervalsbof Demographic
P. paniscus 3 P. t. verus
Lower 90% HPD
Upper 90% HPD
P. paniscus 3 P. t. troglodytes
Lower 90% HPD
Upper 90% HPD
P. t. troglodytes 3 P. t. verus
Lower 90% HPD
Upper 90% HPD
aMLE estimates are the locations of the peaks in the curves shown in figures 3, 4, and 5.
bThe 90% HPD intervals are the shortest spans, along the x axes of figures 3, 4, and 5, that contain 90% of the area of those histograms. For basic parameters not
scaled by the mutation rate including N1, N2, NA, 2N1m1, 2N2m2, and t (see Materials and Methods and figure 2), these HPD intervals are not directly available. How-
ever in the case of time (t) and effective population sizes (N1, N2, and NA), estimates of the 90% HPD intervals were made as the products of those for the correspond-
ing scaled parameters and the conversion factors based on the human/chimpanzee divergence (which were taken to be correct without error, see Materials and
by guest on June 7, 2013
Africa. Also, a demographic change (population growth or
fine-scale population structure) was inferred from the allele
frequency spectrum (Fischer et al. 2004).
In our study, the estimates of divergence time
between P. paniscus and the two subspecies of common
chimpanzees (P. t. troglodytes and P. t. verus) tend to
be smaller than those of previous studies, which used
different methods. The method applied here explicitly
accounts for ancestral population size by assessing the
divergence time parameter jointly with other demographic
parameters. Like other studies, we used a calibration point
based on estimates of Homo-Pan splitting time of 6 MYA
(Chen and Li 2001; Brunet et al. 2002; Vignaud et al.
2002; Glazko and Nei 2003; Wildman et al. 2003).
According to the IM analysis, the most probable
divergence time between P. paniscus and chimpanzees
(P. t. troglodytes and P. t. verus) was estimated to be 0.862
to 0.896 MYA (table 2). In contrast, Yu et al. (2003)
estimated the divergence time between chimpanzees and
bonobos to be 1.8 MYA. These authors used the Homo-
Pan split at 6 MYA as a calibration point, together with
an average sequence divergence (1.22%) of the 50 loci
between human and chimpanzee. However, their date is
simply the estimated average time of the ancestral
sequence for pairs of sampled sequences and takes no
account of the variation between species that is caused by
variation in the ancestral population. Similar analyses in
studies of individual loci also lead to high values for
divergence between bonobos and common chimpanzees.
The study on the nonrecombining portion of the Y
chromosome (NRY) had an estimated divergence time of
1.8 MYA (Stone et al. 2002). In the case of the mtDNA,
the divergence time was estimated to be 2.5 MYA
(Gagneux et al. 1999). For the X chromosome locus,
Xq13.3, Kaessmann, Wiebe, and Paabo (1999) estimated
the ancestor to be 0.9 MYA, which is similar to our
In the case of P. t. troglodytes and P. t. verus, the
method of Yu et al. (2003) converts the observed average
sequence divergence between P. t. troglodytes and P. t.
verus (0.125%) to a divergence time estimate of 0.62
MYA. In other single-locus studies, the divergence time
for these chimpanzee subspecies was estimated to be 0.61
MYA for the NRY (excluding the uncertain haplotypes
that we also excluded in our analysis) (Stone et al. 2002);
0.6 MYA for the hypervariable mtDNA region (Gonder
2000), and 2.1 MYA for Xq13.3 (Kaessmann et al. 2001).
In this last case, the divergence time between subspecies of
chimpanzees was estimated to be older than that of the
divergence time between bonobo and chimpanzees be-
cause of a large distance between some chimpanzee sub-
species and the bonobo (Kaessmann, Wiebe, and Paabo
1999). In our analysis, the divergence time of the chimpan-
zees in western and central Africa (P. t. verus and P. t.
troglodytes) was estimated to be 0.422 MYA (90% HPD
interval: 0.255 to 0.629). Fischer et al. (2004) estimated
divergence times using multilocus DNA sequences (in-
cluding the data of Yu et al. ) and the moment
estimator method of Wakeley and Hey (1997). This ap-
proach assumes a four-parameter isolation model (the
same model as in figure 1 but without migration) and, thus,
explicitly accounts for that component of variation caused
by common ancestry. When the authors calculated diver-
gence times using only the Yu et al.’s (2003) data, their
divergence time estimates were very similar to those
reported here: 0.8 MYA for bonobos and chimpanzees and
0.43 MYA for chimpanzees in western and central Africa.
In summary, we estimate that the separation of
common chimpanzees and bonobos began about 900,000
years ago and was followed later by a separation at
about 400,000 years between the chimpanzees in western
and central Africa. These events occurred during the
Pleistocene (1.8 to 0.01 MYA) epoch, which has been
The Number of Migration Events and Mean Time of Migration Events from P. t. verus to P. t. troglodytes
aModal number of migration events observed over the course of the Markov chain simulations.
bThe mean value of the time at which mutation events occurred (scaled by the neutral mutation, as with t) for those genealogies that had at least one migration.
cModal value across all loci.
dThe mean of the times for all loci.
304 Won and Hey
by guest on June 7, 2013
characterized by repeated glaciations accompanying cli-
matic change and shift in geography of tropical forests in
Africa (Hamilton 1988). Particularly, since the beginning
of major glaciations around 2.4 MYA, climatic changes in
Africa both before and after 1 MYA were considered to be
more severe than before (Stein and Sarnthein 1984).
Isolation Since Population Splitting
A major benefit of being able to consider a full
isolation with migration model is access to two-directional
gene-flow rates (fig. 2). From our analyses, bonobos
and common chimpanzees appear to have been isolated
without gene flow since they began to diverge. Put another
way, the divergence of these species appears consistent
with a speciation model in which geographic isolation
prevented gene flow during the separation of these species.
In contrast to the analyses involving P. paniscus, we
found a clear signal of unidirectional gene flow from P. t.
verus to P. t. troglodytes (fig. 3h). This finding is perhaps
our most surprising, in part because of the current disjunct
distributions of P. t. verus and P. t. troglodytes (fig. 1) (see
figure 1 in Kortlandt ). According to Kortlandt, an
area (.1,000 km) from west of Ghana to the eastern side
of the lower Niger River, except for one islandlike habitat
region on the western side of the lower Niger River,
appears to be nearly devoid of chimpanzees (the Dohomey
Gap in figure 1), although some places were marked as
exterminated habitats during recent years or since around
1940. Thus, evidence of gene flow suggests that the geo-
graphic distributions of these populations have changed
A related puzzle is why migration between these
populations might have occurred in only one direction.
Although there may be many possible explanations, given
the several hundred thousand years since these populations
began to diverge, we consider the possibility that another
findings. Recently, Gonder et al. (1997) studied a chimpan-
zee population that inhabits a region of Nigeria and
Cameroon that lies between the lower Niger River and the
Sanaga River. Mitochondrial DNA sequences from this
region revealed a monophyletic lineage, having sister rela-
tionship to sequences from P. t. verus (Gonder et al. 1997;
Bradley and Vigilant 2002). On this phylogeographic basis,
these chimpanzees were recognized as a separate sub-
species, P. t. vellerosus (Gray 1862; Gonder 2000). How-
ever, whereas this group is genetically close to P. t. verus
(based on mtDNA), it is geographically close to P. t.
troglodytes of central Africa, from which it is separated by
the Sanaga River in Cameroon (Gagneux et al. 2001).
Gonder investigated this border region with fine-scale
sampling from both sides of the Sanaga River and found
a few mtDNA haplotypes that clustered with samples from
the southern side of the Sanaga River, suggesting that the
microsatellite data revealed a high effective number of
migrants per generation (Nm¼11) across the Sanaga River
(Gonder 2000). Notwithstanding the possible inflation of
this Nm estimate because of homoplasy in microsatellite
tween these populations. Inaddition, cranial featuresof P.t.
vellerosus more closely resemble those of P. t. troglodytes
than P. t. verus (Groves 2001).
This information on the P. t. vellerosus population
suggests an explanation for the observation of unidirec-
tional gene flow from P. t. verus to P. t. troglodytes. The
scenario begins with a separation of populations that today
we recognize as P. t. verus and P. t. troglodytes. If, as
suggested by mtDNA data, the population identified as P.
t. vellerosus is indeed most closely related to P. t. verus,
then it seems likely that this population formed sometime
after the original split that gave rise to the central Africa
and western Africa subspecies. However, today P. t.
vellerosus occurs geographically near populations of P. t.
troglodytes and appears to be exchanging genes with the
central Africa subspecies. Thus, P. t. vellerosus may be
a channel for genes into P. t. troglodytes that otherwise are
closely related to genes of P. t. verus. It is possible that this
is the mechanism whereby nonzero levels of gene flow
appear to have occurred between P. t. troglodytes and P. t.
verus, which today have quite geographically disjunct
distributions. Clearly, testing this hypothesis would require
inclusion of the P. t. vellerosus population in a multilocus
study of the IM model. This scenario also reveals
a limitation of the IM model as currently implemented.
At present, we can only study populations in pairs, but in
reality, many closely related populations occur in more
complex geographic and demographic contexts.
The Population Status of Chimpanzee subspecies
Subspecies of the common chimpanzee have been
designated on the basis of geographic ranges, with pop-
ulations that are separated by large regions or by large
rivers sometimes being assigned a subspecies designation
(Groves 2001). These designations have found some
support in phylogeographic studies of individual loci, at
least in so far as some degree of genetic differentiation is
repeatedly observed (see review Bradley and Vigilant
). Their support on morphological grounds is less
clear (Groves 2001). Certainly the current study, which
includes just two subspecies, finds strong evidence of
considerable (although not complete) isolation over
several hundred thousands of years.
It might be argued that the designation of chimpanzee
subspecies, which are based largely on current geographic
distributions together with limited genetic data, are not
well justified. In this study, we have taken the approach of
treating previously identified taxa as hypotheses of the
presence of distinct and isolated populations (Baum 1998;
Hey et al. 2003). Notwithstanding the evidence of gene
flow from P. t. verus to P. t. troglodytes, our analyses
strongly affirm the use of these taxonomic designations, as
the populations that include representatives of these taxa
appear to have long been largely evolutionarily separated
from one another.
It is also important to note that studies of gene flow
within subspecies of common chimpanzees suggest that
these taxa occur as intermingled populations. Goldberg
and Ruvolo (1997) examined mtDNA migration rates for
the eastern Africa chimpanzee P. t. schweinfurthii, with
by guest on June 7, 2013
extensive sampling at 19 locations encompassing most of
the known range of the subspecies. They estimated that the
population migration rate was 3.38 among the locations
and that the maximal distance of any haplotype sharing
was 583 km. Despite the high gene-flow rate, a pattern of
long-distance differentiation was observed in that study.
Similarly for the eastern Africa chimpanzee, Gagneux et
al. (1999) reported a long distance (maximum 1,000 km)
haplotype sharing within the western Africa chimpanzee.
Our findings of gene flow spanning subspecies ranges
may be attributable to mating strategies that overcome local
inbreeding effects. Chimpanzees are known to exchange
genes among groups by female transfer and mating with
noncommunity members (Goodall 1986; Boesch and
Boesch-Achermann 2000). For example, genetic estimates
of extragroup paternity (EGP) levels found a level of 1% in
Taı ¨ in West Africa (Boesch and Boesch-Achermann 2000)
and 7% in three contiguous communities in the same Taı ¨
National Park in West Africa (Vigilant et al. 2001).
However, no evidence of EGP was detected in an eastern
Africa community (Constable et al. 2001).
In contrast to the pattern of gene flow within and
among common chimpanzee subspecies, the divergence of
the bonobo and the common chimpanzee is consistent with
a long history (approximately 900,000 years) without gene
flow. One probable factor in this divergence is geographic
separation caused by climatic changes that resulted in
deforestation and the expansion of arid savanna. Historical
fluctuation of forest and savanna ranges caused by climate
changes during the Pleistocene could have split ancestral
populations and confined them in multiple geographical
groups (Grubb 1982). Also, rivers that are wide and that
separate geographic regions have probably been major
barriers to gene flow. The Congo River, which currently
separates bonobos from common chimpanzees probably
had a continuous existence since well before the Pleisto-
cene (Beadle 1981), although it can not be ruled out that
there were historical time periods in some locations along
the river that would have been permissive of a dispersal
corridor for chimpanzees.
We thank Phillip Morin for generously providing his
unpublished cytb DNA sequences and for helpful com-
ments on the manuscript. We thank Brenda Bradley for
generously providing an electronic version of a map of
the distributions of common chimpanzees and bonobos.
We also thank Katy Gonder for a helpful comments on the
phylogenetic status of the chimpanzees in Nigeria and
Cameroon, as well as Makoto Shimada, Arjun Sivasundar,
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Accepted October 4, 2004
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