Title: Diapositiva 1
1THE ANCIENT PEOPLING OF CENTRAL AFRICA A
GENETIC PERSPECTIVE
PhD candidate Chiara Batini
Scuola di dottorato in Biologia Animale, XX
ciclo Dipartimento di Biologia Animale e
dellUomo Sapienza Università di Roma
Supervisors Giovanni Destro-Bisol (Sapienza
Università di Roma), David Comas (UPF, Barcelona)
2Central Africa because
- paleoanthropological record is absent for the
first phases of modern Homo sapiens evolution
(the most ancient fossil being dated at 20 kya in
Democratic Republic of Congo) - archaeological record has been intensively
studied in recent years, but it is still
fragmentary post-depositional disturbance
processes make the general picture unstable but
there are indications of an early occupance of
the area - paleoclimatological record offers a still
unstable picture in which cycles of expansion and
fragmentation of tropical forests are documented
and dated, at least for the last 40 kya - linguistic record is well studied and the
expansion of Bantu-speaking populations seems to
have erased any trace of the languages spoken
before 5 kya - Pygmy populations still inhabit the area
although theories on their origin and evolution
are controversial, these are supposed to be in
genetic continuity with the first inhabitants of
the area - genetic knowledge on sub-Saharan Africa is
increasing considerably, because of the key role
of this part of the continent in the evolution of
our species
molecular anthropology could provide an
alternative approach to the study of the ancient
peopling of the area
3Aims
- describing variation in
- three Western Pygmy (Babinga, Baka and Bakola)
- one Eastern Pygmy (Mbuti)
- four Bantu-speaking populations (Bateke, divided
in North and South, Beti and Ngoumba) - searching for the presence of signatures of
demographic processes pre-dating the Bantu
expansion - testing different evolutionary scenarios for the
peopling of Central Africa and the relations
between Western and Eastern Pygmies, based on
archaeological, climatological and linguistic
record
4Populations analysed and the database
POPULATIONS DESCRIBED IN THE PRESENT
THESIS (Babinga, Baka, Bakola, Mbuti, BatekeN,
BatekeS, Beti, Ngoumba)
FOOD PRODUCERS (FPs)
30 populations Ntot more than 1000
individuals
HUNTER-GATHERERS (HGs), OR PREVIOUSLY HGs
5Methods and Approaches
detailed study on Pygmy pops
- mtDNA
- HVR-1
- HVR-1 HVR-2
- complete sequences
- Y-chr
- 6 STRs
- 10 STRs
- SNPs
qualitative test of hypotheses
6detailed study on Pygmy pops
- mtDNA
- HVR-1
- HVR-1 HVR-2
- complete sequences
- Y-chr
- 6 STRs
- 10 STRs
- SNPs
qualitative test of hypotheses
7Population approach genetic characterization of
uniparental markers in Central African
populations Intra-population variation
Description of new populations
HGs Babinga Baka Bakola Mbuti FPs Bateke
N Bateke S Beti Ngoumba
8Population approach genetic characterization of
uniparental markers in Central African
populations Intra-population variation
Description of new populations
HGs
FPs
9Population approach genetic characterization of
uniparental markers in Central African
populations Intra-population variation
Comparison with the database
- Mann-Whitney U test (HGs vs FPs)
- all four comparisons give p lt 0.001 for mtDNA
- only p shows a significant difference between
the two groups
in bold, populations studied in the present thesis
10Population approach genetic characterization of
uniparental markers in Central African
populations Inter-population variation Genetic
distances (MDS)
Y-chr (Fst distances) stress 0.063
mtDNA (pairwise distances) stress 0.034
11Population approach genetic characterization of
uniparental markers in Central African
populations Inter-population variation AMOVA
a.g variance among groups a.p.w.g. variance
among populations within groups w.p. variance
within populations
in bold not significant values
12Population approach genetic characterization of
uniparental markers in Central African
populations Inter-population variation
Discussion
- significant lower values for mtDNA
intra-population diversity in HGs than in FPs
(signals of population expansions) - Y-chr parameters overlap between the two groups,
with the only exception of p (opposite pattern
between mtDNA and Y-chr) - inter-population variation shows structuring for
mtDNA and homogeneity for Y-chr
13detailed study on Pygmy pops
- mtDNA
- HVR-1
- HVR-1 HVR-2
- complete sequences
two haplogroups selected L1c for mtDNA B for
Y-chr
- Y-chr
- 6 STRs
- 10 STRs
- SNPs
qualitative test of hypotheses
14Phylogeographic approach signatures of ancient
and recent demographic events in Central
Africa L1c - Background
geographic distribution
phylogenetic position
15Phylogeographic approach signatures of ancient
and recent demographic events in Central
Africa L1c Database and Frequencies
total sample 455 individuals (N 232), HVR1
and HVR2 sequences
16Phylogeographic approach signatures of ancient
and recent demographic events in Central
Africa L1c - Results
17Phylogeographic approach signatures of ancient
and recent demographic events in Central
Africa L1c - Results
L1c1a, L1c4 and L1c5 in agreement with
constant-size population histories L1c1b,
L1c1c and L1c2 in agreement with expanding
population histories
18Phylogeographic approach signatures of ancient
and recent demographic events in Central
Africa L1c - Discussion
- identification of Western Pygmy mtDNA lineages
(L1c1a, L1c4 and L1c5) - common ancient origin of the ancestors of extant
Bantu-speaking and Western Pygmy populations (90
kya) - ancient separation between the ancestors of the
two groups (60-30 kya) - recent gene flow from Western Pygmy to
Bantu-speaking populations
19Phylogeographic approach signatures of ancient
and recent demographic events in Central Africa B
- Background
3 SNPs 16 STRs (only 10 STRs used in network
reconstructions for comparison with literature
data)
phylogenetic position geographic distribution
20Phylogeographic approach signatures of ancient
and recent demographic events in Central Africa B
Database and Frequencies
total sample 234 individuals (N 74), 10 STRs
21Phylogeographic approach signatures of ancient
and recent demographic events in Central Africa B
Results and Discussion
B2a
B2b
22Phylogeographic approach signatures of ancient
and recent demographic events in Central Africa B
Results and Discussion
B2a in agreement with expanding population
histories B2b in agreement with constant-size
population histories
23Phylogeographic approach signatures of ancient
and recent demographic events in Central Africa B
Results and Discussion
- recent origin of B2a in ancestral Bantu-speaking
populations - ancient origin of B2b, signals of a deep
structure among hunter-gahterer populations - further analyses in order to unravel the
structure of B2b and better define the relations
among HG haplotypes
24detailed study on Pygmy pops
- mtDNA
- HVR-1
- HVR-1 HVR-2
- complete sequences
- Y-chr
- 6 STRs
- 10 STRs
- SNPs
qualitative test of hypotheses
25Complete mitochondrial variation in Pygmy
populations Database and Results
Intra-population
10 populations 206 individuals
26Complete mitochondrial variation in Pygmy
populations Results Inter-population
populations
69.1 of inertia represented
haplogroups
27Complete mitochondrial variation in Pygmy
populations Results Phylogenetic reconstruction
L0a
L1c
L5
L2a
L3
28Complete mitochondrial variation in Pygmy
populations Discussion and future studies
- clear-cut separation between Western and Eastern
Pygmies - new L2a branch
- future studies reconstruction of a
maximum-parsimony tree calculation of the TMRCA
for Eastern Pygmy specific clades
29detailed study on Pygmy pops
- mtDNA
- HVR-1
- HVR-1 HVR-2
- complete sequences
- Y-chr
- 6 STRs
- 10 STRs
- SNPs
qualitative test of hypotheses
30A qualitative test of hypotheses presentation of
the three scenarios
HYPOTHESIS 1 (RECENT DIVERGENCE) Ancient unique
origin of Pygmies and recent contact with Bantu
(Cavalli-Sforza, 1986)
HYPOTHESIS 1 (RECENT DIVERGENCE) Ancient unique
origin of Pygmies and recent contact with Bantu
(Cavalli-Sforza, 1986)
HYPOTHESIS 2 (ANCIENT SEPARATION) Ancient
independent origin of Pygmies and recent contact
with Bantu (Cornelissen, 2002 Hiernaux, 1977)
HYPOTHESIS 2 (ANCIENT SEPARATION) Ancient
independent origin of Pygmies and recent contact
with Bantu (Cornelissen, 2002 Hiernaux, 1977)
HYPOTHESIS 3 (BLENCH) Recent origin of Pygmies as
a sub-group of Bantu (Blench, 1999)
HYPOTHESIS 3 (BLENCH) Recent origin of Pygmies as
a sub-group of Bantu (Blench, 1999)
P
P, Pygmies B, Bantu
31A qualitative test of hypotheses presentation of
the expected results
32A qualitative test of hypotheses presentation of
the observed results
33A qualitative test of hypotheses presentation of
the observed results
34A qualitative test of hypotheses Discussion
- the second scenario (ancient separation) is
favoured, although some parameters show
exceptions - these exceptions can be explained by the
influence of sociocultural factors and different
population histories - complete mitochondrial genome variation agrees
with the second hypothesis - the hypothesis proposed by Blench (Pygmies as a
sub-group of Bantu speakers) is not supported by
any of the parameters analysed
35Conclusions some general remarks and future
directions
- the population analyses confirmed the importance
of sociocultural factors in shaping genetic
diversity in sub-Saharan populations - the phylogeographic analysis (L1c and B)
highlighted signatures of ancient and recent
demographic processes, providing a time-scale
relative to the genetic systems considered - the study of complete mitochondrial genomes
confirmed the clear-cut difference between
Western and Eastern Pygmies future studies will
be necessary to better define specific Eastern
Pygmy clades in order to calculate their TMRCAs - the qualitative test of hypotheses allowed to
define a working scenario, in which Western and
Eastern Pygmy populations would have originated
in separate processes, and would have shared a
common history with FP populations of the same
area - a genomic approach would be necessary to gain a
complete genetic perspective on the ancient
peopling of Central Africa
36Acknowledgements
All blood donors that made this study possible.
UPF, Barcelona Jaume Bertranpetit Francesc
Calafell Monica Valles Stephanie Plaza Roger
Anglada
Sapienza Università di Roma Gabriella
Spedini Cinzia Battaggia Francesco Vecchi
RMCA, Tervuren Els Cornelissen Koen Bostoen
University of Utah, Salt Lake City Lynn Jorde
University of Oxford Cristian Capelli
Molecular Medicine Laboratory, Haifa Doron Behar