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Mitochondrial DNA history of Sri Lankan ethnic people: Their relations within the island and with the Indian subcontinental populations

Authors:
  • Faculty of Medicine, university of Kelaniya
  • Faculty of Graduate Studies, Mahidol University, Bangkok, Thailand

Abstract and Figures

Located only a short distance off the southernmost shore of the Greater Indian subcontinent, the island of Sri Lanka has long been inhabited by various ethnic populations. Mainly comprising the Vedda, Sinhalese (Up- and Low-country) and Tamil (Sri Lankan and Indian); their history of settlements on the island and the biological relationships among them have remained obscure. It has been hypothesized that the Vedda was probably the earliest inhabitants of the area, followed by Sinhalese and Tamil from the Indian mainland. This study, in which 271 individuals, representing the Sri Lankan ethnic populations mentioned, were typed for their mitochondrial DNA (mtDNA) hypervariable segment 1 (HVS-1) and part of hypervariable segment 2 (HVS-2), provides implications for their settlement history on the island. From the phylogenetic, principal coordinate and analysis of molecular variance results, the Vedda occupied a position separated from all other ethnic people of the island, who formed relatively close affiliations among themselves, suggesting a separate origin of the former. The haplotypes and analysis of molecular variance revealed that Vedda people's mitochondrial sequences are more related to the Sinhalese and Sri Lankan Tamils' than the Indian Tamils' sequences. MtDNA haplogroup analysis revealed that several West Eurasian haplogroups as well as Indian-specific mtDNA clades were found amongst the Sri Lankan populations. Through a comparison with the mtDNA HVS-1 and part of HVS-2 of Indian database, both Tamils and Sinhalese clusters were affiliated with Indian subcontinent populations than Vedda people who are believed to be the native population of the island of Sri Lanka.Journal of Human Genetics advance online publication, 7 November 2013; doi:10.1038/jhg.2013.112.
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ORIGINAL ARTICLE
Mitochondrial DNA history of Sri Lankan ethnic
people: their relations within the island and with
the Indian subcontinental populations
Lanka Ranaweera1,3, Supannee Kaewsutthi1,3, Aung Win Tun1, Hathaichanoke Boonyarit1,
Samerchai Poolsuwan2and Patcharee Lertrit1
Located only a short distance off the southernmost shore of the Greater Indian subcontinent, the island of Sri Lanka has long
been inhabited by various ethnic populations. Mainly comprising the Vedda, Sinhalese (Up- and Low-country) and Tamil
(Sri Lankan and Indian); their history of settlements on the island and the biological relationships among them have remained
obscure. It has been hypothesized that the Vedda was probably the earliest inhabitants of the area, followed by Sinhalese and
Tamil from the Indian mainland. This study, in which 271 individuals, representing the Sri Lankan ethnic populations
mentioned, were typed for their mitochondrial DNA (mtDNA) hypervariable segment 1 (HVS-1) and part of hypervariable
segment 2 (HVS-2), provides implications for their settlement history on the island. From the phylogenetic, principal coordinate
and analysis of molecular variance results, the Vedda occupied a position separated from all other ethnic people of the island,
who formed relatively close affiliations among themselves, suggesting a separate origin of the former. The haplotypes and
analysis of molecular variance revealed that Vedda people’s mitochondrial sequences are more related to the Sinhalese and Sri
Lankan Tamils’ than the Indian Tamils’ sequences. MtDNA haplogroup analysis revealed that several West Eurasian haplogroups
as well as Indian-specific mtDNA clades were found amongst the Sri Lankan populations. Through a comparison with the
mtDNA HVS-1 and part of HVS-2 of Indian database, both Tamils and Sinhalese clusters were affiliated with Indian
subcontinent populations than Vedda people who are believed to be the native population of the island of Sri Lanka.
Journal of Human Genetics advance online publication, 7 November 2013; doi:10.1038/jhg.2013.112
Keywords: ethnic groups; genetic relationship; mtDNA; Sri Lanka
INTRODUCTION
With its close proximity to the Greater Indian subcontinent, separated
from the southern tip of the mainland only by the Palk Strait and the
Gulf of Mannar (with the width varying between 24 and 140 km), the
island of Sri Lanka, made accessible by sea from all parts of coastal
India, has long been inhabited by various ethnic people. The
mainland origins for the majority of these people have been
hypothesized, but without their specific migration and settlement
history on the island, they are yet to be fully elucidated. Of
approximately the total size of 20 million, the population of Sri
Lanka is heterogeneous on the bases of ethnicity, languages and
religious faiths.1,2
The Buddhist Sinhalese who speak Sinhala, affiliated with the
North Indian Prakit,3a branch of the Indo-European language family,
contribute to the majority on the island, accounting for 73.8% of the
total population. Their division into Up- and Low-country ethnic
counterparts was a recent phenomenon after the European
colonization, with people in the coastal provinces, formerly the
subjects under Western domination, recognized as the Low-country
Sinhalese, and those living in the inland mountainous area, ruled by
the Sinhalese kings, later known as the Up-country Sinhalese. With
their history on the island stretching back into the remote past, the Sri
Lankan Tamils who speak Tamil, a language of the Dravidian family,
and profess Hinduism, comprise 13.9% of the total population. Their
ethnic counterpart of the same religious faith, the Indian Tamils, of
probably more recent origin from the mainland, contributes 4.6% of
the island population. Muslims who mainly speak Tamil account for
7.2% of the total population. Other minorities on the island, with
each contributing less than 0.5% of the total population, comprise the
Muslim Malays whose language belonging to the Austronesian
linguistic family, the Christian who speak English, and the Vedda,
believed to be the most indigenous people on the island,4,5 whose
present dialects identified as a hybrid between older Vedda language
and Sinhala.6
1Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand and 2Faculty of Sociology and Anthropology, Thammasat University,
PraChan, Bangkok, Thailand
Correspondence: Professor Dr P Lertrit, Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
E-mail: patcharee.ler@mahidol.ac.th or lertrito@yahoo.com or patlertrit@gmail.com
3These authors contributed equally to this work.
Received 7 February 2013; revised 4 October 2013; accepted 9 October 2013
Journal of Human Genetics (2013), 1–9
&
2013 The Japan Society of Human Genetics All rights reserved 1434-5161/13
www.nature.com/jhg
Paleoclimates of Sri Lanka were made relatively stable under the
influences of Southwestern monsoons that have strengthened
since the terminal Pleistocene and early Holocene, the tropical
cyclones and the two intermonsoons.7Its climatic stability would
have favored human migrations for settlements in the area since the
distant past. Archeological records of human settlements on the island
were conventionally attributed to four consecutive periods: the
Paleolithic (125000–37 000 YBP), the Mesolithic (37 000–2900
YBP), the protohistorical (2900–2500 YBP) and the historical
(after 2500 YBP).8,9 Interestingly, the oldest skeletal remains of
anatomically modern man (Homo sapiens) reported from the South
Asian region, and dated tentatively to 37 000 YBP, were discovered
from the cave site, Fahien-lena,8on the island, with their association
with the present-day Vedda people proposed on a comparative
anatomical ground.10 With the molecular analyses provided on
genetic structure of the island populations, achievement for more
insights into the history of human settlements in the area is truly
promising.
The molecular genetic studies on Sri Lankan ethnic people have
been relatively scant so far, with only a few autosomal and Y
chromosome results accumulated in the forensic databases.11–13
This present study provides the first opportunity under which the
higher resolution mitochondrial DNA (mtDNA) genetic structure is
elucidated, based on sequencing of the hypervariable segment 1
(HVS-1) and part of hypervariable segment 2 (HVS-2), of the
majority of the Sri Lankan ethnic populations, the Vedda, Sinhalese
(Up- and Low-country) and Tamil (Sri Lankan and Indian),
providing an insight into the understanding of the history of
human settlements on the island.
MATERIALS AND METHODS
Samples collection
A total of 271 unrelated individuals belonging to five ethnic groups—Vedda
people, Up-country Sinhalese and Low-country Sinhalese, Sri Lankan Tamils
and Indian Tamils, were recruited in the study (Supplementary Table S1). The
sample collection sites are shown in Figure 1. With informed consent, 3–5 hair
follicles from each individual were collected. The study was carried out with
the approval of the Ethics Committee of the Faculty of Medicine, University of
Kelaniya, Sri Lanka. DNA was extracted using standard protocol.14
MtDNA sequence data
MtDNA HVS-1 (nt16024–nt16383) and part of HVS-2 (nt57–nt309) were
amplified using primers L15904: 50-CTAATACACCAGTCTTGTAAACCG
GAG-30and H 16417: 50-TTTCACGGAGGATGGTGGTC-30,andL16453:
50-CCGGGCCCATAACACTTGGG-30and H 545: 50-CGGGGTATGGGG
TTAGCAGC-30, respectively. The PCR products were purified and sequenced
using DNA Analyzer (model 3730XL, Applied Biosystems, Foster, CA, USA) by
Macrogen (Seoul, Republic of Korea). The sequencing data have been checked
by a 4-eye principle and the low quality data were resequenced, otherwise
excluded from the analysis. The samples to which definite haplogroup status
could not be assigned were additionally checked for positions C5178A,
T14783C and 9bp deletion (8281–8289) for haplogroup D, M and B,
respectively using PCR–RFLP method. MtDNA was amplified at positions
4476–5482 (L4476: 50-CCC CTG GCC CAA CCC GTC ATC TAC-30and
H5482:50-GGT AGG AGT AGC GTG GTA AGG GCG-30) and positions
14444–15360 (L14444: 50-TCC TCA ATA GCC ATC GCT G-30and H15360: 50-
GAT CCC GTT TCG TGC AAG-30), the PCR product was digested by
restriction enzyme AluI for the presence of C5178A (haplogroup D), and by
AseI for the presence of T14783C (haplogroup M), respectively. For 9bp
deletion, mtDNA were amplified from position 8211–8311 (L8211: 50-TCG
TCC TAG AAT TAA TTC CCC-30and H8311: 50-AAG TTC GCT TTA CAG-
30), and the size of PCR product was electrophoresed and visualized under
ultraviolet light.
Data analysis
The sequences of HVS-1 and part of HVS-2 were aligned and compared with
rCRS using ClustalW software in the BioEdit version 7.0.9 and ChromasLite
program, respectively. The haplogroup assignment was done using Haplogrep
(http://www.haplogrep.uibk.ac.at/)15 based on HVS-1 and part of HVS-2
sequences and manually checked according to the criteria of Phylotree
Build 15.16 To further justify the haplogroup classification, the mitochondrial
haplogroup was also assigned using MitoTool (http://www.mitotool.org).17 The
software package DnaSP version 5 (Universitat de Barcelona, Barcelona, Spain)
was used to calculate the number of polymorphic sites, haplotype diversity,
nucleotide diversity and average number of nucleotide differences.18 The
number of unique haplotypes for each population was evaluated based on
the calculation of the total number of haplotypes and the number of shared
haplotypes by ARLEQUIN version 3.5.1.219 (Swiss Institute of Bioinformatics,
Bern, Switzerland) using the same strategy as presented in Yao et al.20
The software program MEGA 4.0.221 was used to draw the unrooted
neighbor-joining trees of the Sri Lankan populations using net genetic
distances (dA), which are defined as dA ¼dXY (dX þdY)/2, where dXY is
the mean pairwise difference between individuals from population X and Y,
and dX (dY) is the mean pairwise difference between individuals within
population X (or Y).22 As a tree presentation of the distance matrix might be
misread as a succession of population splits, principal component analysis
(PCA) was employed on the distance matrix. Two principal component
analyses were performed on 21 Sri Lankan groups using their respective net
genetic distances from HVS-1 and part of HVS-2 sequences and from
haplogroup distribution frequencies by means of GenAlEx6.23 In order to
compare with the Indian mainland, PCA was also performed on the Sri Lankan
groups and 34 groups (both tribes and castes) from India (Supplementary
Table S2) using their respective net genetic distances from HVS-1 sequences.
Genetic structure was investigated using analyses of molecular variance by
ARLEQUIN version 3.5.1.2 with a significance of variance components tested
with 1000 permutations.19 The Mantel test was performed to assess the
significance of the correlation between genetic and geographic distances of the
Sri Lankan populations with 1000 random permutations using GenAlEx6.23
Two Phylogenetic networks of Haplogroups R and U from five Sri Lanka
ethnic populations, and from Sri Lankan and Indian populations24,25 were
constructed using Network 4.6.1.1 (Fluxus Technology, Suffolk, UK).26
14
17
11
19 6
7
21
20
9
818
310 5
1
4
2
16
15
13
12
Vedda people
5. Pollebadda (6)
4. Henanigala (13)
3. Dambana (19)
2. Dalukana (19)
1. Rathugala (18)
Up-country sinhalese
6. Meemoure (18)
9. Thuppitiya (10)
10. Kukulapola (12)
8. Mulgama (6)
7. Bambarabadda (14)
Low-country sinhalese
13. Bandaraduwa (9)
Sri Lankan Tamils
12. Lankagama (13)
11. Thulawelliya (18)
17. Vauniya (3)
16. Trincomalee (5)
15. Batticaloa (11)
14. Jaffna (20)
Indian Tamils
21. Nanuoya (11)
20. Bandarawela (10)
19. Matale (18)
18. Balangoda (18)
Figure 1 The sample collection sites in Sri Lanka (within bracket indicates
the sample size from each location). A full color version of this figure is
available at the Journal of Human Genetics journal online.
mtDNA variation in Sri Lanka
L Ranaweera et al
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Journal of Human Genetics
RESULTS
MtDNA polymorphisms and shared haplotypes of Sri Lanka
The mtDNA HVS-1 (np. 16 024 to np. 16 383 of the rCRS) and part
of HVS-2 (np. 57 to np. 309 of the rCRS) sequences were obtained
from 271 individuals belonging to five Sri Lankan ethnic populations:
75 Vedda people, 60 Up-country Sinhalese and 40 Low-country
Sinhalese, 39 Sri Lankan Tamils and 57 Indian Tamils. The poly-
morphisms observed in the study are provided in Supplementary
Table S3. Deletions were observed at nucleotide positions 16166,
16 258, and 249 whereas insertions were encountered at 16188, 16 380
and 284.
There were a total of 147 haplotypes observed in the five Sri
Lankan populations of this study. Thirty of them were shared between
at least two populations. The Vedda population has the lowest
proportion of shared haplotypes among their subgroups (63%)
indicating their greater genetic diversity among subgroups. Sri Lankan
Tamils and Indian Tamils possessed similar shared proportion (85%)
whereas Up-country Sinhalese has a little higher number of popu-
lation specific haplotypes (73%) than Low-country Sinhalese (70%)
(Table 1). Interestingly, highest number of haplotype sharing was
found between Vedda with Up-country Sinhalese and with Low-
country Sinhalese. On the other hand, there was no haplotype sharing
between the Vedda people with any of the Tamils (Table 1).
Diversity indices
Genetic diversity within the subgroups of Sri Lankan ethnic popu-
lations was assessed by haplotype diversity (H) and nucleotide
diversity (p). The results are summarized in Supplementary Table
S4. Hranged from 0.503–1.000 and pfrom 0.006–0.019. In general,
Sinhalese (Up-country and Low-country) and Tamil (Sri Lankan and
Indian) subgroups exhibited relatively higher haplotype diversity
(0.861–1.000) than did those of the Vedda (0.503–0.965). The trend
of nucleotide diversity follows the haplotype diversity. Higher
nucleotide diversities (0.009–0.019) were observed among Sinhalese
and Tamils. Notably, lower nucleotide diversity (0.006–0.009) was
observed in two Vedda subgroups (VA-Rat and VA-Dal) than in the
rest of the Vedda subgroups (0.012–0.014).
Pattern of genetic variation as revealed by genetic distance and
phylogenetic analyses
Genetic distances among 21 subgroups of five ethnic populations of
Sri Lanka were calculated from HVS-1 and part of HVS-2 sequences
employing the Tajima-Nei method.27 The result is shown in
Supplementary Table S5. The Mantel test for correspondence between
genetic and geographic minimal distances was also performed, from
which the significant correlation between the two distance matrices
(r¼0.15; P¼0.02) was obtained; the result suggested the pattern of
genetic differentiation observed among studied populations to be at
least partly explicable in the light of the isolation-by-distance model.
An unrooted neighbor-joining tree was constructed for phylo-
genetic relationships among 21 subgroups of five ethnic populations
of Sri Lanka as illustrated in Figure 2. Another phylogenetic
construction was also performed for the five ethnic populations when
all subgroups within a population were collapsed; the result is shown
in Supplementary Figure S1.
It is quite clear from Supplementary Figure S1 that the Vedda
population was genetically separated from other Sri Lankan ethnic
populations, with genetic distance being less between them. Indian
Tamils established the closest genetic relationship with their Sri
Lankan ethnic counterparts. Up-country Sinhalese formed close
genetic affiliations with Sri Lankan Tamils and Low-country
Sinhalese.
Figure 2 illustrates more insights into the genetic relationships
among the studied populations, with the description of genetic
variation among subgroups within each ethnic population. From this
unrooted neighbor-joining tree, it was confirmed that there was a
greater genetic distance between the Vedda people and the rest of the
populations. Two Vedda subgroups (VA-Dam and VA-Hen) were
intermingled with the Sinhalese, both Up-country and Low-country,
but not with any of Tamils. The Tamils, both Sri Lankan and Indian,
clustered together. The genetic matrix in which the Tamil and
Sinhalese subgroups, that cannot be clearly separated from each
other, were observed towards one major branch of the tree, with the
majority of the Vedda people towards the other. Interestingly, some
Sinhalese groups (SU-Mul, SU-Mee and SL-Lan) were relatively closer
to Tamils than to the rest of Sinhalese subgroups.
Principal component analysis
The net genetic distances from HVS-1 and part of HVS-2 sequences
(Supplementary Table S5), and from haplogroup distribution fre-
quencies (Supplementary Table S6), among 21 subgroups of five
ethnic populations of Sri Lanka were treated as input vectors for PCA.
Figure 3 displays the PCA map constructed from haplogroup
distribution frequencies, for the first two principal components,
which together account for 82.44% of the total variance. The majority
of Vedda subgroups (except VA-Dam) were well separated from other
ethnic populations of Sri Lanka on the first PC axis. Their separation
from other ethnic populations is further extended on the second PC
axis. The majority of Sinhalese and Tamil subgroups form close
genetic proximities among themselves on both PC axes. Major
exception to this clustering is found in SU-Thu. It was evident that
Up-country Sinhalese are genetically closer to Sri Lankan Tamils. On
the other hand, Sri Lankan Tamil subgroups were closer to each other
when compared with Indian Tamils. Generally speaking, Vedda
Table 1 Haplotype sharing and matching probabilities between Sri Lankan populations
Number of shared haplotype Haplotype matching probabilitiesa
Population Sample size
Number of
haplotype
Unique
haplotype 1 (VA) 2 (SU) 3 (SL) 4 (TS) 1 (VA) 2 (SU) 3 (SL) 4 (TS)
1 Vedda (VA) 75 24 15 (63%)
2 Up-country Sinhalese (SU) 60 41 30 (73%) 6 0.890078
3 Low-country Sinhalese (SL) 40 23 16 (70%) 5 3 0.433 0.4165
4 Sri Lankan Tamils (TS) 39 33 28 (85%) 0 1 1 0 0.042752 0.064
5 Indian Tamils (TI) 57 47 40 (85%) 0 3 1 4 0 0.204225 0.08775 0.269312
aValues multiplied by 100.
mtDNA variation in Sri Lanka
L Ranaweera et al
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Journal of Human Genetics
subgroups were more dispersed on the PCA map than within any
other ethnic population, reflecting greater diversity among them. PCA
map constructed from the net genetic distances from HVS-1 and part
of HVS-2 sequences, which is in agreement with the PCA map
constructed from haplogroup distribution frequencies, is also shown
in Supplementary Figure S2.
The PCA is extended further to include various other ethnic
populations from the Indian subcontinent (Supplementary Table S2)
Figure 4. The result shown in Figure 5 accounted for 52.59% of the
total variation. All the Sinhalese and Tamil subgroups intermingle well
with the majority of the Indian subcontinental populations, forming a
large genetic matrix. However, Indian Tamils were separated from the
rest of the Sri Lankan subgroups, except SU-Bam and SL-Ban, on the
first PC axis. This is further strengthening of the hypothesis that
Indian Tamils are genetically distinct from the rest of the Sri Lankan
ethnic groups. Some Vedda groups (VA-Dal, VA-Hen and VA-Dam)
are located at the periphery of this genetic matrix, whereas others
(VA-Pol and VA-Rat) established only a remote relationship with the
matrix.
MtDNA haplogroup in Sri Lanka
Although the mitochondrial coding region contains several
phylogenetically relevant sites that are useful in assigning
haplotypes to a haplogroup, the control region is also promising
in putative haplogroup affiliation.28,29 According to the haplogroup
assignment based on HVS-1 and part of HVS-2 sequences of Sri
Lankan population using Mitotool (http://www.mitotool.org)17
and Haplogrep 1515 and then manually rechecked it
again with phylotree build 15 (http://www.phylotree.org)16
(Supplementary Table S3), the overall haplogroup analysis
indicated that almost 50% of the individuals from all the studied
populations belonged to haplogroup M lineages (including
haplogroup M, D and G) followed by about 25% of R lineages
(including haplogroup R, P and T) and 20% of U lineages.
Figure 2 Unrooted neighbor-joining (NJ) tree of the 21 Sri Lankan populations based on the net genetic distances. (Abbreviations are given in
Supplementary Table S1).
mtDNA variation in Sri Lanka
L Ranaweera et al
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Journal of Human Genetics
Other less frequent lineages were almost 4% of R0 (including
haplogroup HV and H) and almost 2% of N lineages (including N,
and W) (Table 2).
Haplogroup M was the most common haplogroup in Indian
Tamils (70.18%), which was contributed mainly by sub-haplogroups
M5a (14.03%) and M2a (12.28%). These sub-haplogroups were rarely
found in other populations. Up-country Sinhalese, Low-country
Sinhalese and Sri Lankan Tamils exhibited similar frequencies of
haplogroup M (41.67–43.59%), though they possessed different sub-
haplogroups frequencies. This might indicate that the later men-
tioned, especially Up-country Sinhalese and Low-country Sinhalese
are more closely related to each other than to Indian Tamils who have
a known migration history from India. Meanwhile, Vedda people had
the lowest frequency of haplogroup M (17.33%). It is quite asto-
nishing to see such a lower frequency of M haplogroup in the Vedda
population when compared with southern Indian tribal groups
(70–80%) as well as southern Indian caste populations (65%).30
This is probably due to the effect of genetic drift in the smaller
population of Vedda. This is supported by other observation of
reduced intrapopulation diversity among the subgroups of Vedda
people.
On the other hand, Vedda people and Low-country Sinhalese
showed relatively high frequencies of haplogroup R (45.33 and 25%,
respectively) which was contributed mainly by sub-haplogroup R30b
(38.67 and 20%). The haplogroup was less frequent in Up-country
Sinhalese, Sri Lankan Tamils and Indian Tamils. Haplogroup U was
mostly found in Vedda (29.33%) and Up-country Sinhalese (23.33%),
with highest contribution from sub-haplogroups U1a’c (12 and 5%,
respectively) and U7a (13.33 and 11.67%, respectively).
The haplogroup frequency of Vedda people from each site is shown
in Supplementary Table S7. Low frequency of M haplogroup and high
frequencies of R and U haplogroups were found to be the unique
characteristics of Vedda. However, the frequencies of these haplo-
groups varied among Vedda from different sites. Two Vedda groups
(VA-Dam and VA-Hen) posses the frequency of M haplogroup close
to that of Up-country Sinhalese, Low-country Sinhalese and Sri
Lankan Tamils, indicating the genetic admixture between these two
Vedda groups and the other three populations. The Vedda subgroups
Principal coordinates
Coord.2 (21.22%)
Coord.1 (61.22%)
VA-Dal
VA-Rat
TS-Vau
SU-Thu
VA- Pol
SL-Lan
VA- Hen
VA- Dam
SL-Thu
SU-Kuk
TS-Tri SL-Ban
TI-Nan
TI-Mat
TI-Ban
TI-Bal
SU-Mul
SU-Bam
SU-Mee
TS-Jaf
TS-Bat
Figure 3 Principal component analysis (PCA) map of the 21 Sri Lankan
subpopulations based on net genetic distances derived from haplogroup
distribution frequencies. (Abbreviations are given in Supplementary Table S1). A
full color version of this figure is available at the Journal of Human Genetics
journal online.
Figure 4 Populations of India that were used in this study. (Abbreviations are given in Supplementary Table S1 and Supplementary Table S2). A full color
version of this figure is available at the Journal of Human Genetics journal online.
mtDNA variation in Sri Lanka
L Ranaweera et al
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Journal of Human Genetics
shared haplogroup R30b/R8a1a3 at relatively high frequencies, the
characteristic not found among subgroups of other ethnic popu-
lations on the island, suggested a common shared origin of the Vedda
population. Median Joining network of HVS-1 and part of HVS-2
sequence of haplogroups R (62 individuals, 21 haplotypes) and U (52
individuals, 25 haplotypes) from five Sri Lankan populations were
constructed (Supplementary Figure S3). In general, the network was
in agreement with the mtDNA haplogroup analysis. Although posses
less frequency of both haplogroups, the haplotypes, belonging to these
haplogroups, of the other four Sri Lankan populations were more
diverse than Vedda haplotypes, which were also highly derived within
the tree. The Median Joining network incorporating data of HVS-1
and part of HVS-2 sequences of haplogroups R and U24,25 from
Indian populations was also performed (Supplementary Figure S4).
The Median Joining network map does not reveal a basal status of the
Vedda’s sequences for the genetic differentiation of haplogroups R
and U. It is more likely that these two haplogroups, found to be
particularly prevalent in the Vedda, were derived from ancestors on
the Indian subcontinent.
Three haplogroups, M2, U2i (U2a, U2b and U2c) and R5,
recognized as a package of Indian-specific mtDNA clades harboring
an equally deep coalescent age of about 50 000–70 000 years,30 were
present in the ethnic populations of Sri Lanka. All the ethnic
populations studied possess R5 with its highest frequency (10%)
observed in Up-country Sinhalese. Haplogroup U2 was found in all
the studied populations with its marked high frequency (10.25%)
observed in Sri Lankan Tamils. Interestingly, all the types of
haplogroups in Vedda people, except sub-haplogroups M36d and
M73’79, are presented in other ethnic groups as well.
There are several West Eurasian haplogroups, belonging to the
HV,W,T,U1,U5andU7lineages,foundinSriLankanethnic
populations (Table 2). The western Eurasian contribution to the Sri
Lankan maternal gene pool was about 19.94%, which is consistent
with the previous report.30 Interestingly, West Eurasian
contributions of 28.19, 25.33, 25 and 20% were detected in the
Sri Lankan Tamils, Vedda people, Up-country Sinhalese and Low-
country Sinhalese respectively, whereas only a 1.75% contribution
was evident in the Indian Tamils. This again reflected the close
genetic relationship among the two Sinhalese groups and Sri
Lankan Tamils when compared with Indian Tamils. Haplogroup
U1a and U7a were the only West Eurasian lineage observed in the
Vedda people. Haplogroup T was present in two populations; Low-
country Sinhalese (5%) and Sri Lankan Tamils (2.56%), whereas
Haplogroup W was present only in Up-country Sinhalese (3.33%).
Lower frequencies than the West Eurasean haplogroups were
observed for the East Asian haplogroups (M12 and G), which
accounted for 5.91% of the total variation.
The genetic structure of the Sri Lankan populations
Grouping of the Sri Lankan populations according to different
criterion was performed and statistically tested, using an analysis of
molecular variance, to reveal the best model representing natural
population differentiation. Beside the ethnic criteria adopted all
through this study, populations were classified into groups according
to linguistic, geographic and putative racial criterion. Results are
shown in Table 3. When populations were classified into two groups,
Vedda people probably representing earliest inhabitants of the island
and others for newcomers, this grouping gave the minimum variance
among subgroups within a population (87.85, Po0.001) and maxi-
mum variance among populations (8.15, Po0.001), representing the
best model for population differentiation. This model of population
differentiation is compatible with a deeper root of genetic divergence
between the Vedda and non-Vedda populations than between
subgroups within each population.
DISCUSSION
This study demonstrates the mtDNA genetic relationships among five
main recognized ethnic groups on the island of Sri Lanka, as well as
Principal coordinates
Coord. 2 (18.95%)
Coord. 1 (33.64%)
Figure 5 Principal component analysis (PCA) map of the 21 Sri Lankan subpopulations with Indian populations based on net genetic distances.
(Abbreviations are given in Supplementary Table S1 and Supplementary Table S2). A full color version of this figure is available at the Journal of Human
Genetics journal online.
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Table 2 Haplogroup frequency in Sri Lankan population
No. of samples (%)
Haplogroup Vedda Sinhalese Up-country Sinhalese Low-country Sri Lankan Tamils Indian Tamils Total
Haplogroup M 13 (17.33) 25 (41.67) 17 (42.5) 17 (43.59) 40 (70.18) 112 (41.33)
Ma2 (2.67) 3 (5) 2 (5) 1 (2.56) 0 (0) 8 (2.95)
M/N 0 (0) 1 (1.67) 1 (2.5) 1 (2.56) 2 (3.51) 5 (1.85)
M2 0(0) 0(0) 0(0) 0(0) 2(3.51) 2(0.74)
M2a1 0 (0) 2 (3.33) 0 (0) 1 (2.56) 6 (10.53) 9 (3.32)
M2a3a 0 (0) 0 (0) 0 (0) 0 (0) 1 (1.75) 1 (0.37)
M3 0(0) 0(0) 2(5) 1(2.56) 0(0) 3(1.11)
M3c1 2 (2.67) 0 (0) 0 (0) 0 (0) 1 (1.75) 3 (1.11)
M5a1 0(0) 0(0) 0(0) 1(2.56) 3(5.26) 4(1.48)
M5a2a2 0(0) 0(0) 0(0) 0(0) 4(7.02) 4(1.48)
M5a4 0(0) 0(0) 0(0) 0(0) 1(1.75) 1(0.37)
M6a 3 (4) 0 (0) 2 (5) 2 (5.13) 3 (5.26) 10 (3.69)
M6b 0 (0) 0 (0) 0 (0) 2 (5.13) 0 (0) 2 (0.74)
M12a1b 0 (0) 2 (3.33) 0 (0) 0 (0) 0 (0) 2 (0.74)
M18038 0(0) 0(0) 0(0) 1(2.56) 1(1.75) 2(0.74)
M18 0 (0) 0 (0) 0 (0) 0 (0) 1 (1.75) 1 (0.37)
M18a 0 (0) 0 (0) 1 (2.5) 1 (2.56) 2 (3.51) 4 (1.48)
M30 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
M30c1 0 (0) 0 (0) 0 (0) 0 (0) 4 (7.02) 4 (1.48)
M30f 0(0) 0(0) 3(7.5) 0(0) 0(0) 3(1.11)
M33a1b/M35þ199 2 (2.67) 6 (10) 3 (7.5) 0 (0) 1 (1.75) 12 (4.43)
M33a2 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
M34a 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
M35a 0 (0) 3 (5) 0 (0) 1 (2.56) 0 (0) 4 (1.48)
M35b þ16304 0 (0) 0 (0) 0 (0) 0 (0) 2 (3.51) 2 (0.74)
M36a 1 (1.33) 1 (1.67) 0 (0) 0 (0) 0 (0) 2 (0.74)
M36d 2 (2.67) 0 (0) 0 (0) 0 (0) 0 (0) 2 (0.74)
M38a 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
M41 0 (0) 0 (0) 3 (7.5) 0 (0) 0 (0) 3 (1.11)
M45 0 (0) 2 (3.33) 0 (0) 0 (0) 0 (0) 2 (0.7 4)
M52 0 (0) 1 (1.67) 0 (0) 0 (0) 0 (0) 1 (0.3 7)
M53 0 (0) 0 (0) 0 (0) 0 (0) 2 (3.51) 2 (0.74)
M65a 0(0) 3(5) 0(0) 0(0) 0(0) 3(1.11)
M65b 0(0) 0(0) 0(0) 0(0) 1(1.75) 1(0.37)
M66 0 (0) 1 (1.67) 0 (0) 1 (2.56) 3 (5.26) 5 (1.85)
M73079 1 (1.33) 0 (0) 0 (0) 0 (0) 0 (0) 1 (0.37)
Haplogroup D 2 (2.67) 1 (1.67) 0 (0) 2 (5.13) 0 (0) 5 (1.85)
D4a 2 (2.67) 1 (1.67) 0 (0) 0 (0) 0 (0) 3 (1.11)
D4j3 0 (0) 0 (0) 0 (0) 2 (5.13) 0 (0) 2 (0.74)
Haplogroup G 4 (5.33) 2 (3.33) 4 (10) 1 (2.56) 3 (5.26) 14 (5.17)
G3a102 0 (0) 2 (3.33) 3 (7.5) 1 (2.56) 3 (5.26) 9 (3.32)
G3b1 4 (5.33) 0 (0) 1 (2.5) 0 (0) 0 (0) 5 (1.85)
Haplogroup HV 0 (0) 1 (1.67) 1 (2.5) 7 (17.95) 0 (0) 9 (3.32)
H 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
H1ag1a 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
H2a2a1c 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
H5 0 (0) 1 (1.67) 0 (0) 3 (7.69) 0 (0) 4 (1.48)
HV2 0 (0) 0 (0) 1 (2.5) 0 (0) 0 (0) 1 (0.37)
HV4b 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
Haplogroup N 0 (0) 2 (3.33) 0 (0) 0 (0) 1 (1.75) 3 (1.11)
Nb0 (0) 1 (1.67) 0 (0) 0 (0) 0 (0) 1 (0.37)
N1a102 0 (0) 1 (1.67) 0 (0) 0 (0) 0 (0) 1 (0.37)
N5 0(0) 0(0) 0(0) 0(0) 1(1.75) 1(0.37)
Haplogroup R/U 0 (0) 1 (1.67) 0 (0) 0 (0) 3 (5.26) 4 (1.48)
R/U 0 (0) 0 (0) 0 (0) 0 (0) 3 (5.26) 3 (1.11)
R8/U409 0 (0) 1 (1.67) 0 (0) 0 (0) 0 (0) 1 (0.37)
Haplogroup R 34 (45.33) 10 (16.67) 10 (25) 3 (7.69) 5 (8.77) 62 (22.88)
R5a2a 0 (0) 3 (5) 0 (0) 0 (0) 1 (1.75) 4 (1.48)
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their affiliations with several ethnic people of the Greater Indian
subcontinent. All the island populations, except some subgroups of
the Vedda, form close genetic affiliations among themselves and with
majority of the groups from the mainland suggesting the origin of the
majority of the island population on the Indian mainland. No definite
association of the Sinhalese with any specific ethnic or linguistic
groups of India was, however, detected in this study; thus, their exact
immediate origin on the mainland remains yet to be confirmed.
There is no clear genetic separation based on the PCA map between
Sinhalese and Tamils, and between Up- and Low-country Sinhalese of
Sri Lanka. The latter phenomenon suggests a recent division of
the Sinhalese into Up- and Low-country, the fact confirmed on a
historical ground.31 For the groups represented in this study, majority
of the Up-country Sinhalese formed closer association among
themselves than did their Low-country ethnic counterparts. This is
to a certain degree explicable in a light of the isolation-by-distance;
the Up-country Sinhalese groups are more geographically proximal
with each other than do their Low-country counterparts. However,
the closer association of the Up-country Sinhalese with the Sri Lankan
Tamils than with the Indian Tamils is not in agreement with the
geographic distances among them. Despite recent habitation of the
Indian Tamils in proximity of the Up-country Sinhalese, the Indian
Tamils might have admixed, during the long distant past, more with
Sri Lankan Tamils, who have lived on the island longer than their
Indian ethnic counterparts.32,33
The genetic distinctiveness of the Vedda people on the island of Sri
Lanka, as reported in this study, confirm previous results based on the
analyses of nuclear markers.11–13 The markedly higher frequencies of
Table 2 (Continued )
No. of samples (%)
Haplogroup Vedda Sinhalese Up-country Sinhalese Low-country Sri Lankan Tamils Indian Tamils Total
R5a2b 5 (6.67) 3 (5) 1 (2.5) 1 (2.56) 1 (1.75) 11 (4.06)
R6a 0 (0) 3 (5) 0 (0) 0 (0) 0 (0) 3 (1.11)
R7 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
R7a’b 0 (0) 0 (0) 1 (2.5) 1 (2.56) 1 (1.75) 3 (1.11)
R8a1a3 0 (0) 0 (0) 0 (0) 0 (0) 1 (1.75) 1 (0.37)
R30b/R8a1a3 29 (38.67) 1 (1.67) 2 (5) 0 (0) 1 (1.75) 33 (12.18)
R30b 0 (0) 0 (0) 6 (15) 0 (0) 0 (0) 6 (2.21)
Haplogroup U 22 (29.33) 14 (23.33) 6 (15) 6 (15.38) 4 (7.02) 52 (19.19)
U1a’c 9 (12) 3 (5) 0 (0) 1 (2.56) 1 (1.75) 14 (5.17)
U2 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
U2a 3 (4) 0 (0) 0 (0) 2 (5.13) 3 (5.26) 8 (2.95)
U2b 0 (0) 1 (1.67) 0 (0) 0 (0) 0 (0) 1 (0.37)
U5a 0 (0) 0 (0) 2 (5) 1 (2.56) 0 (0) 3 (1.11)
U6 0 (0) 1 (1.67) 1 (2.5) 0 (0) 0 (0) 2 (0.74)
U7 0 (0) 2 (3.33) 0 (0) 0 (0) 0 (0) 2 (0.74)
U7a 10 (13.33) 7 (11.67) 3 (7.5) 1 (2.56) 0 (0) 21 (7.75)
Haplogroup T 0 (0) 0 (0) 2 (5) 1 (2.56) 0 (0) 3 (1.11)
T 0 (0) 0 (0) 0 (0) 1 (2.56) 0 (0) 1 (0.37)
T1a103 0 (0) 0 (0) 2 (5) 0 (0) 0 (0) 2 (0.74)
Haplogroup P 0 (0) 2 (3.33) 0 (0) 2 (5.13) 1 (1.75) 5 (1.85)
P4a 0 (0) 2 (3.33) 0 (0) 0 (0) 0 (0) 2 (0.74)
P5 0 (0) 0 (0) 0 (0) 2 (5.13) 1 (1.75) 3 (1.11)
Haplogroup W 0 (0) 2 (3.33) 0 (0) 0 (0) 0 (0) 2 (0.74)
W 0(0) 2(3.33) 0(0) 0(0) 0(0) 2(0.74)
aunidentified haplogroup M.
bunidentified haplogroup N.
Table 3 Analysis of molecular variance (AMOVA) of Sri Lankan populations
Among groups Among populations within groups Within populations
Model VaraP-value VaraP-value VaraP-value
Ethnic criteriab1.72 0.039 8.61 o0. 001 89.66 o0.001
Linguistic criteriac2.57 0.002 8. 20 o0.001 89.23 o0.001
Geographic criteriad0.55 0.677 10.56 o0.001 89.99 o0.001
Vedda vs others 4.00 0.002 8.15 o0.001 87.8 5 o0.001
Up-country Sinhalese vs Low-country Sinhalese 1.19 0.814 9.82 o0.001 91. 37 o0.001
Sri Lankan Tamils vs Indian Tamils 0.73 0.027 2.19 0.028 97.08 0.003
aVariance (%).
bFive groups (Vedda people, Up-country Sinhalese, Low-country Sinhalese, Sri Lankan Tamils and Indian Tamils).
cThree groups (Vedda dialect, Indo-European language and Dravidian language).
dSeven provinces (North, North-Central, Central, Eastern, Uva, Sabaragamuwa and South).
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the haplogroup R30b/R8a1a3 in all Vedda subgroups than in other Sri
Lankan populations is compatible with a hypothesis that all the Vedda
subgroups would have shared a common origin. The greatest inter-
population genetic diversity observed among the Vedda subgroups
coupled with their relatively low haplotype and nucleotide diversity
would reflect greater effect of the genetic drift in the Vedda than in
other ethnic groups of Sri Lanka. The pattern of genetic
differentiation observed in the Vedda is a characteristic also
observed in various other aboriginal populations of the world with
their relatively small subgroups experiencing a long history of
separation.34–39 Such population history was also proposed for the
Vedda based on the anatomical analysis.10 Much greater genetic
similarities with Sinhalese, and to a lesser degree with Sri Lankan
Tamils, observed in some Vedda subgroups (VA-Dam, VA-Hen and
VA-Pol) in comparison with other subgroups of the same ethnic
category (VA-Rat and VA-Dal) suggests that the pattern of genetic
admixture between older inhabitants (Vedda) and more recent
newcomers (Sinhalese and Tamils) on the island was truly
heterogeneous. Advance admixture of VA-Dam, VA-Hen and VA-
Pol with other ethnic populations on the island is confirmed by the
presence of several shared sub-haplogroups (M33a1, D, R5a and U7a)
among them that are not found in VA-Rat and Va-Dal. The reduced
intrapopulation genetic diversity observed among subgroups of the
Vedda is most likely a result of severe genetic drift associated with the
practice of endogamy among small-sized villages during the long
distant past, a phenomenon with firm historical evidence.4,5
ACKNOWLEDGEMENTS
We are grateful to all the people who have donated their hair samples
for making this study possible. We would like to thank Dr Upeksha
Samaraweerachchi, Deepal Edirisinghe, Nirmala Ranaweera, Dayarathna
Ranaweera, Sanjeewa Jayakody, G.G. Sirisena, U.S. Yapa, K. Sanath,
Achala Chandradasa, T. Kumarasiri, M. Pushpawathi, Nimesha Palliyaguruge
and H. Ranaweera for their excellent help in the field trips. Our special thanks
extended to Professor Dr Senake Bandaranayake, Associate Professor Dr
Suraphan Na Bangchang and Dr Bhoom Suktitipat and the three anonymous
reviewers for their critical comments of the manuscript and their constructive
discussions, to Dr Russell Thomson for the proof-reading of this manuscript
and to Professor Drs Hans Jurgen Bandelt and Walther Parson for their valuable
comments on the dataset validation. We also thank scholars who kindly
provided their published mtDNA HVS-1 sequences. This work was partly
supported by Siriraj Graduate Thesis Scholarship, Faculty of Medicine
Siriraj Hospital Mahidol University, Thailand to LR. PL is supported by
‘Chalermphrakiat’ Grant, Faculty of Medicine Siriraj Hospital, Mahidol
University, Thailand.
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Supplementary Information accompanies the paper on Journal of Human Genetics website (http://www.nature.com/jhg)
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... The few mitochondrial DNA studies from Sri Lanka show that the Vedda do not cluster closely with either European or North Asian groups (Harihara et al., 1988). The first high resolution noncoding region mitochondrial DNA study of the Sri Lanka population revealed the reduced intrapopulation genetic diversity among subgroups of the Vedda people (Ranaweera et al., 2014a). Another such study reveals that the Vedda population clustered separately from other groups and that Sri Lankan Tamils showed a closer genetic affiliation to Sinhalese than to Indian Tamils (Ranasinghe et al., 2021). ...
... Moreover, the last two studies showed that most Vedda exhibit West Eurasian lineages alongside Indian ancestries. Another study suggests that the Vedda population is a genetically drifted group with limited gene flow from neighboring Sinhalese and Sri Lankan Tamil populations (Ranaweera et al., 2014a;Ranasinghe et al., 2021). ...
... The importance of Sri Lanka's geographic location is further emphasized by several anthropological studies, including De Silva's suggestion that Vedda groups represent a mixture of Australoid, African, and Mediterranean affinities (De Silva, 1981). Interestingly, previous genetic research revealed that the Village Vedda possess West Eurasian genetic ancestry (Ranaweera et al., 2014a) and provided genetic evidence of early modern human dispersal (Ranaweera et al., 2014b). Therefore, the presence of broader noses in the Coastal Indigenous people, comparable to that of African populations, and presence of very long face/long face which is similar to Malaysian population might indicate presence of ancient genetic footprints. ...
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The existence of an indigenous community within a country is a source of pride and warrants significant attention. Sri Lanka is no exception, and, as a country with the fossil remains of anatomically modern Homo sapiens, it is hypothesized that Sri Lankan Indigenous people might harbor ancient genetic signatures. This study aims to establish baseline data of certain craniofacial anthropometric measurements in the Coastal Indigenous people and classify their head, face, and nose types. This study involved 126 (70 Male and 56 Female) unrelated individuals from six villages, representing the Coastal Indigenous population. Sixteen craniofacial measurements were obtained, providing calculations of three craniofacial indices: the Cephalic index, Facial index, and Nasal index. It was apparent that all craniofacial measurements, except nose protrusion of males, had significantly higher dimensions than those of the female participants. In addition to baseline quantitative raw data, the calculated indices are as follows: The mean cephalic, facial, and nasal indices of females were 78.50± 4.84, 88.37±13.06, and 93.93±12.23, respectively, whereas those of males were 78.85±5.76, 91.74±13.70, and 94.58±14.06, respectively. This is the first craniofacial study on Coastal Indigenous people in Sri Lanka. The most common head shape observed among both genders was mesocephalic. Males predominantly exhibited a hyperleptoprosopic facial type, while females mostly showed a leptoprosopic facial type. The most dominant nasal type recorded for both genders was the platyrrhine nasal phenotype. Interestingly, such platyrrhine nose is rarely present in other world populations, except in African populations.
... Owing to the increasing significance of Sri Lanka in the discourse on human evolution, there has been a continued proliferation of publications focusing on genetic diversity (Ellepola and Wikramanayake, 1986;Ellepola, 1990;Fernando et al., 2023;Ranasinghe et al., 2015;Ranaweera et al., 2014;Welikala et al., 2024) and Stable Isotope Analysis (Roberts et al., 2018) of Vadda populations in various parts of the island. ...
... Kennedy (1965:202) suggests that both the island's Mesolithic population and the Vaddas appear to share a common gene pool, pointing to a strong genetic affinity between them based on the high frequency of shared morphological traits. Genetic analyses conducted by Ellepola (1990) and Ranaweera et al. (2014) have revealed significant genetic similarities between the Vaddas and Sinhalese populations (also pointed out by Deraniyagala 1963e), while also indicating distinct genetic origins for the Vaddas, potentially linked to populations of the Indian subcontinent. According to Ranasinghe et al. (2015), the Vaddas also have more genetic similarity to Sinhala people than Tamil people. ...
... The fact that the Vadda population is genetically distinct from mainly Sinhalese and Tamils (Ranaweera et al., 2014), followed by the lowest genetic diversity among the six other ethnic groups of the island (Ranasinghe et al., 2015), may indicate a genetic drift with longer periods of isolation in this group. The Vadda population's gathering independently from other contemporary ethnic groups of the island (Ranasinghe et al., 2015;Ranaweera et al., 2014) may be a gauge of aiding the historical belief that they are descendants of early inhabitants who once occupied the island. ...
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This paper aims to re-examine key scholarly works pertaining to the Sri Lankan Vadda, an indigenous community of the island, in order to explore extant research of the said community. Despite considerable progress, lingering misunderstandings and uncertainties persist regarding their origins, connections to prehistoric populations, affiliations with contemporary ethnic groups, and the interrelationships among different Vadda communities across the island. Furthermore, uncertainties persist regarding the authenticity of Vadda skeletal remains and the adequacy of archaeological samples, which often suffer from fragmentation and incompleteness. It is this archaeological sample that has been used to draw conclusions about the cultural and biological continuity of the Mesolithic population or the Balangoda man (Homo sapiens balangodensis) with the Vaddas and the modern populations of the island, thus perhaps distorting interpretations. Similarly, this study underscores concerns regarding the representation of modern samples collected from diverse Vadda clans inhabiting various ecological zones and engaging in different subsistence practices, potentially skewing the conclusions of preceding research. In this study, fresh ethnoarchaeological data are used to examine some misconceptions prevailing about the Warugas (clans) as well as the use of the term Wanniyalaetto as a synonym for Vaddas. Given the rapid acculturation of Vaddas, there is a pressing need for continued interdisciplinary investigations into the Vadda communities, encompassing different Warugas and geographic regions, to ensure a better understanding of their socio-cultural dynamics with the aim of enhanced insight into their evolutionary pathways.
... Only a few genetic studies, including the mtDNA, Y and X chromosomes have been performed, and these confirmed the Sinhalese connection with mainland India. [22][23][24][25][26][27][28][29][30][31][32][33][34][35] Some studies have shown that the Sinhalese have a distinct origin, while a few of them suggested a connection with South Indian populations. 26,36 Analysis based on classical markers advocated a closer affinity of the Sinhalese population with South and West Indian populations than with the Bengalis. ...
... Genetic studies on the Sr ı Laṅk an population are mainly limited to haploid DNA markers. 22,39 The majority of Sr ı Laṅk an individuals studied so far showed an overwhelming presence of South-Asian-specific haplogroups. However, a significant presence of West-Eurasian-specific haplogroups has also been detected. ...
... The most common West-Eurasian mtDNA haplogroups are U7 and U1. 22,40 Thus, the West Eurasian connection of Sr ı Laṅk a appears likely. The lack of autosomal studies needs to be filled in order to understand the precise nature of peopling of Sr ı Laṅk a. ...
Article
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The Sinhalese are the major ethnic group in Śrī Laṅkā, inhabiting nearly the whole length and breadth of the island. They speak an Indo-European language of the Indo-Iranian branch, which is held to originate in northwestern India, going back to at least the fifth century BC. Previous genetic studies on low-resolution markers failed to infer the genomic history of the Sinhalese population. Therefore, we have performed a high-resolution fine-grained genetic study of the Sinhalese population and, in the broader context, we attempted to reconstruct the genetic history of Śrī Laṅkā. Our allele-frequency-based analysis showed a tight cluster of Sinhalese and Tamil populations, suggesting strong gene flow beyond the boundary of ethnicity and language. Interestingly, the haplotype-based analysis preserved a trace of the North Indian affiliation to the Sinhalese population. Overall, in the South Asian context, Śrī Laṅkān ethnic groups are genetically more homogeneous than others.
... Numerous studies have delved into the socio-anthropological features of the Vedda population (de Silva, 2011;Parker, 1909). Research has been undertaken to gain insight into their molecular level components (Perera et al., 2021;Ranasinghe et al., 2015;Roychoudhury, 2008;Ranaweera et al. 2014). These studies have unveiled that the Vedda share genetic components with Sinhalese and Sri Lankan Tamils, whilst they also exhibit geographical affinities to tribal populations such as the Irula, Kota and Mulla Kuruma in southern India, the Semai and Senoi of the Malay peninsula and tribes of Upper Burma. ...
... These studies have unveiled that the Vedda share genetic components with Sinhalese and Sri Lankan Tamils, whilst they also exhibit geographical affinities to tribal populations such as the Irula, Kota and Mulla Kuruma in southern India, the Semai and Senoi of the Malay peninsula and tribes of Upper Burma. Two prior studies on mitochondrial Hypervariable Segment (HVS-I and HVS-II) data show that most Vedda exhibits West Eurasian lineages alongside Indian ancestries (Ranasinghe et al., 2015;Ranaweera et al. 2014). ...
Article
Abstract Linguistic data from South Asia identified several language isolates in the subcontinent. The Vedda, an indigenous population of Sri Lanka, are the least studied amongst them. Therefore, to understand the initial peopling of Sri Lanka and the genetic affinity of the Vedda with other populations in Eurasia, we extensively studied the high-resolution autosomal and mitogenomes from the Vedda population of Sri Lanka. Our autosomal analyses suggest a close genetic link of Vedda with the tribal populations of India despite no evidence of close linguistic affinity, thus suggesting a deep genetic link of the Vedda with these populations. The mitogenomic analysis supports this association by pointing to an ancient link with Indian populations. We suggest that the Vedda population is a genetically drifted group with limited gene flow from neighbouring Sinhalese and Sri Lankan Tamil populations. Interestingly, the genetic ancestry sharing of Vedda neglects the isolation-by-distance model. Collectively, the demography of Sri Lanka is unique, where Sinhalese and Sri Lankan Tamil populations excessively admixed, whilst Vedda largely preserved their isolation and deep genetic association with India.
... Genetic evidence of South Asians shows sustained isolation leading to genetic drift among small populations, differentiating groups such as the "Vedda" people from later agriculturalist settlers (i.e., Sinhala and Tamil) (Peiris et al., 2011;Ranaweera et al., 2014). However, while being characterised as a culturally distinct ethnic group, the "Vedda" or "Wannila Atto" (people of the forest) do not subsist primarily on hunting and gathering and speak an Indo-European language akin to Sinhala (Wijesekera, 1964;Dharmadasa, 1974). ...
... The possibility that Lanka was occupied by the earliest AASI groups migrating out of Africa but have not left genetic descendants is a possibility. The Eurasian (or ANI) links of the "Vedda" have been identified by many researchers (Howells, 1995;Peiris et al, 2011;Kulatilake, 2000;Ranaweera et al, 2014, Ranasinghe et al., 2015Kulatilake, 2020). In terms of cranial shape, the "Vedda" most closely resemble Dynastic Egyptians in (Howells 1995) and to North Indians and people from the Middle East such as Saudi Arabians (Kulatilake, 2000). ...
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Sri Lanka’s rich palaeoanthropological and archaeological record as well as the present demographic aspects have much to offer in aiding our understanding of the island’s ancient past and recent population structure. Sri Lanka has yielded skeletal evidence for the earliest anatomically modern humans from South Asia indicating very early settlement of the region. Following early hunter-gatherer dispersals over 50,000 years ago, agricultural populations expanded to the region with historic settlements and urbanisation creating complex societies in the last three millennia. Through circum-Indian Ocean trade networks in historic times and colonial expansion in the last 500 years, population diversification has continued with groups of multiple genetic and ethno-linguistic backgrounds arriving and settling in the island. These early and later migrants share a gene pool that connects them to descendants of today, who form Sri Lanka’s multi-ethnic, multicultural, and multi-religious society. Using an anthropological perspective, this article investigates how complex societal and biological diversity would have developed over time in island Lanka. An appreciation of deep time, beyond historic records, helps us recognize that human evolution and diversification has been shaped over thousands of years, while an evidence-based, scientific approach is proposed to eliminate flawed ethnocentric interpretations.
... Intriguingly, it has been documented that approximately 85,000 years ago, the first wave of human migration out of Africa followed the coast through the Middle East into Southern Asia via Sri Lanka (Kundu and Ghosh, 2015). Most importantly, the only precursor of modern human fossils in South Asia, dating back 37,000 years, was found in Sri Lanka (Ranaweera et al., 2014). ...
Thesis
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This thesis represents a pioneering endeavor that integrates clinical characteristics of Duchenne Muscular Dystrophy with molecular, proteomic and metabolomic analysis performed in a geographically defined South Asian population; Sri Lanka, providing insights into the pathophysiology of DMD, from muscle to brain.
... Based on our Bayesian analysis, we establish a time to the most recent common ancestor of 17,616 (95% HPD: 6661-32,561) for R30b2 (ESM_1, Fig. 6). Discrepancies were observed in earlier studies (Chaubey 2013;Ranaweera et al. 2014) regarding the distribution of R30 in the Vedda tribe on Sri Lanka. The observed R30 haplogroup distribution is mainly due to the exclusion of the diagnostic mutation at 373, which is one of the diagnostic mutations for R30 (van Oven and Kayser 2009). ...
Article
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The prehistoric human settlement of the Lakshadweep islands remains a mystery for various reasons. Uncertainty about the existence of indigenous tribes in these islands and the lack of folklore records present major obstacles to the reconstruction of Lakshadweep ancestry. However, with extant population data, we seek to understand the maternal ancestry of the Kavaratti islanders. Mitochondrial control region variation analysis of 80 individuals from this island shows maternal links with the populations in the northwestern region of the South Asian mainland. The founder clade R30b2, observed in the Kavaratti islanders, is so far present only in the Scheduled Castes from the Punjab region, Jat Sikhs and Nairs. All other mainland populations carry basal R30 or R30a subclades. The presence of a specific Uralic U4 lineage in our samples, in addition to the Indo-European affinity observed in the phylogeny tree, substantiates a northwestern maternal ancestry of the Kavaratti islanders and implies an ancestral admixture with early humans in the Near East at the time of the last glacial maximum (LGM). Based on our Bayesian analysis, we furthermore propose that a group bearing mostly R30b2 during the LGM recovery, moved eastward and southward, where they received Indian-specific M haplogroups. Hence, the maternal ancestry of the Kavaratti islanders is evidently a consequence of the demographic changes in the northwestern region of the Indian subcontinent caused by the Last Glacial Maximum. The haplogroup distribution pattern and nucleotide sequence data produced in this study will enrich the forensic database of the Lakshadweep islands.
... Mitochondrial markers were utilized to identify leopard coalescence and lineage sorting processes [1,30,49,51]. The mtDNA was used to address questions of genetic diversity, phylogeography, and population evolution within Asian leopards, especially the Sri Lankan leopard [52][53][54][55]. ...
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The Sri Lankan leopard (Panthera pardus kotiya) is an endangered subspecies restricted to isolated and fragmented populations in Sri Lanka. Among them, melanistic leopards have been recorded on a few occasions. Literature suggests the evolution of melanism several times in the Felidae family, with three species having distinct mutations. Nevertheless, the mutations or other variations in the remaining species, including Sri Lankan melanistic leopard, are unknown. We used reference-based assembled nuclear genomes of Sri Lankan wild type and melanistic leopards and de novo assembled mitogenomes of the same to investigate the genetic basis, adaptive significance, and evolutionary history of the Sri Lankan melanistic leopard. Interestingly, we identified a single nucleotide polymorphism in exon-4 Sri Lankan melanistic leopard, which may completely ablate Agouti Signalling Protein (ASIP) function. The wild type leopards in Sri Lanka did not carry this mutation, suggesting the cause for the occurrence of melanistic leopords in the population. Comparative analysis of existing genomic data in the literature suggests it as a P. p. kotiya specific mutation and a novel mutation in the ASIP-gene of the Felidae family, contributing to naturally occurring colour polymorphism. Our data suggested the coalescence time of Sri Lankan leopards at ~0.5 million years, sisters to the Panthera pardus lineage. The genetic diversity was low in Sri Lankan leopards. Further, the P. p. kotiya melanistic leopard is a different morphotype of the P. p. kotiya wildtype leopard resulting from the mutation in the ASIP-gene. The ability of black leopards to camouflage, along with the likelihood of recurrence and transfer to future generations, suggests that this rare mutation could be environment-adaptable.
... Intriguingly, it has been documented that approximately 85,000 years ago, the first wave of human migration out of Africa followed the coast through the Middle East into Southern Asia via Sri Lanka (Kundu and Ghosh, 2015). Most importantly, the only precursor of modern human fossils in South Asia, dating back 37,000 years, was found in Sri Lanka (Ranaweera et al., 2014). ...
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Background: In this article, the authors discuss how they utilized the genetic mutation data in Sri Lankan Duchenne muscular dystrophy (DMD), Spinal muscular atrophy (SMA), Spinocerebellar ataxia (SCA) and Huntington's disease (HD) patients and compare the available literature from South Asian countries to identifying potential candidates for available gene therapy for DMD, SMA, SCA and HD patients. Methods: Rare disease patients (n = 623) with the characteristic clinical findings suspected of HD, SCA, SMA and Muscular Dystrophy were genetically confirmed using Multiplex Ligation Dependent Probe Amplification (MLPA), and single plex PCR. A survey was conducted in the "Wiley database on Gene Therapy Trials Worldwide" to identify DMD, SMA, SCA, and HD gene therapy clinical trials performed worldwide up to April 2021. In order to identify candidates for gene therapy in other neighboring countries we compared our findings with available literature from India and Pakistan which has utilized the same molecular diagnostic protocol to our study. Results: From the overall cohort of 623 rare disease patients with the characteristic clinical findings suspected of HD, SCA, SMA and Muscular Dystrophy, n = 343 (55%) [Muscular Dystrophy- 65%; (DMD-139, Becker Muscular Dystrophy -BMD-11), SCA type 1-3-53% (SCA1-61,SCA2- 23, SCA3- 39), HD- 52% (45) and SMA- 34% (22)] patients were positive for molecular diagnostics by MLPA and single plex PCR. A total of 147 patients in Sri Lanka amenable to available gene therapy; [DMD-83, SMA-15 and HD-49] were identified. A comparison of Sri Lankan finding with available literature from India and Pakistan identified a total of 1257 patients [DMD-1076, SMA- 57, and HD-124] from these three South Asian Countries as amenable for existing gene therapy trials. DMD, SMA, and HD gene therapy clinical trials (113 studies) performed worldwide up to April 2021 were concentrated mostly (99%) in High Income Countries (HIC) and Upper Middle-Income Countries (UMIC). However, studies on the potential use of anti-sense oligonucleotides (ASO) for treatment of SCAs have yet to reach clinical trials. Conclusion: Most genetic therapies for neurodegenerative and neuromuscular disorders have been evaluated for efficacy primarily in Western populations. No multicenter gene therapy clinical trial sites for DMD, SMA and HD in the South Asian region, leading to lack of knowledge on the safety and efficacy of such personalized therapies in other populations, including South Asians. By fostering collaboration between researchers, clinicians, patient advocacy groups, government and industry in gene therapy initiatives for the inherited-diseases community in the developing world would link the Global North and Global South and breathe life into the motto "Together we can make a difference".
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Koṅkaṇ region on the west coast of India is a hotspot of culture, folklore and ethnolinguistic diversity. The genetic landscape of this region remains understudied. The present study features Koṅkaṇī population residing along the Koṅkaṇ Malabar coast. We have sequenced complete mitogenomes of 85 and the hypervariable region of 210 Koṅkaṇī individuals to understand the maternal gene pool of this region. Comparative analysis of the over 5000 mitogenomes revealed that the Koṅkaṇī population clustered at a convergence point on the PCA plot, presumably due to a diverse maternal gene pool with both autochthonous and West Eurasian components. A distinct clustering pattern was observed within the subgroups of Sārasvata and non-Sārasvata Koṅkaṇī groups, indicating unique ancestral maternal lineages in them. This distinction is majorly due to the N macrohaplogroup lineages found in this population. We observe low haplotype and nucleotide diversity in Citrapur Sārasvata Brahmins (CSB), Rājāpur Sārasvata Brahmins (RSB), Khārvi and Kuḍubi compared to Gauḍa Sārasvata Brahmins (GSB) and Roman Catholics. The assimilation of both pre and post Last Glacial Maximum (LGM) haplogroups like M57, M36, M37, M3, M30, R8 and U2 in the Koṅkaṇī population suggests active movement and settlement along the Koṅkaṇ region on the west coast of India since the Late Pleistocene through the Holocene.
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An ongoing source of controversy in mitochondrial DNA (mtDNA) research is based on the detection of numerous errors in mtDNA profiles that led to erroneous conclusions and false disease associations. Most of these controversies could be avoided if the samples' haplogroup status would be taken into consideration. Knowing the mtDNA haplogroup affiliation is a critical prerequisite for studying mechanisms of human evolution and discovering genes involved in complex diseases, and validating phylogenetic consistency using haplogroup classification is an important step in quality control. However, despite the availability of Phylotree, a regularly updated classification tree of global mtDNA variation, the process of haplogroup classification is still time-consuming and error-prone, as researchers have to manually compare the polymorphisms found in a population sample to those summarized in Phylotree, polymorphism by polymorphism, sample by sample. We present HaploGrep, a fast, reliable and straight-forward algorithm implemented in a Web application to determine the haplogroup affiliation of thousands of mtDNA profiles genotyped for the entire mtDNA or any part of it. HaploGrep uses the latest version of Phylotree and offers an all-in-one solution for quality assessment of mtDNA profiles in clinical genetics, population genetics and forensics. HaploGrep can be accessed freely at http://haplogrep.uibk.ac.at. Hum Mutat 31:–8, 2010. © 2010 Wiley-Liss, Inc.
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BACKGROUND: Recent advances in the understanding of the maternal and paternal heritage of south and southwest Asian populations have highlighted their role in the colonization of Eurasia by anatomically modern humans. Further understanding requires a deeper insight into the topology of the branches of the Indian mtDNA phylogenetic tree, which should be contextualized within the phylogeography of the neighboring regional mtDNA variation. Accordingly, we have analyzed mtDNA control and coding region variation in 796 Indian (including both tribal and caste populations from different parts of India) and 436 Iranian mtDNAs. The results were integrated and analyzed together with published data from South, Southeast Asia and West Eurasia. RESULTS: Four new Indian-specific haplogroup M sub-clades were defined. These, in combination with two previously described haplogroups, encompass approximately one third of the haplogroup M mtDNAs in India. Their phylogeography and spread among different linguistic phyla and social strata was investigated in detail. Furthermore, the analysis of the Iranian mtDNA pool revealed patterns of limited reciprocal gene flow between Iran and the Indian sub-continent and allowed the identification of different assemblies of shared mtDNA sub-clades. CONCLUSIONS: Since the initial peopling of South and West Asia by anatomically modern humans, when this region may well have provided the initial settlers who colonized much of the rest of Eurasia, the gene flow in and out of India of the maternally transmitted mtDNA has been surprisingly limited. Specifically, our analysis of the mtDNA haplogroups, which are shared between Indian and Iranian populations and exhibit coalescence ages corresponding to around the early Upper Paleolithic, indicates that they are present in India largely as Indian-specific sub-lineages. In contrast, other ancient Indian-specific variants of M and R are very rare outside the sub-continent.
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The central Indian state Madhya Pradesh is often called as 'heart of India' and has always been an important region functioning as a trinexus belt for three major language families (Indo-European, Dravidian and Austroasiatic). There are less detailed genetic studies on the populations inhabited in this region. Therefore, this study is an attempt for extensive characterization of genetic ancestries of three tribal populations, namely; Bharia, Bhil and Sahariya, inhabiting this region using haploid and diploid DNA markers. Mitochondrial DNA analysis showed high diversity, including some of the older sublineages of M haplogroup and prominent R lineages in all the three tribes. Y-chromosomal biallelic markers revealed high frequency of Austroasiatic-specific M95-O2a haplogroup in Bharia and Sahariya, M82-H1a in Bhil and M17-R1a in Bhil and Sahariya. The results obtained by haploid as well as diploid genetic markers revealed strong genetic affinity of Bharia (a Dravidian speaking tribe) with the Austroasiatic (Munda) group. The gene flow from Austroasiatic group is further confirmed by their Y-STRs haplotype sharing analysis, where we determined their founder haplotype from the North Munda speaking tribe, while, autosomal analysis was largely in concordant with the haploid DNA results. Bhil exhibited largely Indo-European specific ancestry, while Sahariya and Bharia showed admixed genetic package of Indo-European and Austroasiatic populations. Hence, in a landscape like India, linguistic label doesn't unequivocally follow the genetic footprints.
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The paper raises, at random, a few issues of history and ethnicity which have some bearing on the national question, and on the contradictions, conflicts and debates that have arisen. -from Author
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The environment of the late Quaternary 24,000 yrs BP (Before Present) (i.e. late Pleistocene and Holocene) in Sri Lanka as experienced by the Mesolithic, Neolithic and Early Iron Age communities were different from today. Man's effect upon his environment was considerable during the late Pleistocene. However, more technologically advanced groups of people were stimulated to exploit new opportunities as they moved into new ecozones during the late Holocene. An attempt was made to reconstruct t h e palaeoclimatic sequence with radiocarbon dated multi-proxy data at a mire in the Horton Plains, central Sri Lanka. Since the end of the Last Glacial Maximum (LGM),approximately 18,000 years ago, the Indian ocean Southwest monsoon strengthen in stages during the late Pleistocene and early Holocene. Late Pleistocene hunting, gathering and farming activities (24,000-10,000 yrs BP) Between 24,000 and 18,000 years BP, the landscape of the Horton Plains was probably open with a prevailing semi-arid climate as indicated by pollen, stable carbon isotopes (613C) and Total Organic Carbon (TOC) records. The vegetation composition deduced from the pollen data and soil forming processes detected from mineral magnetic properties suggest that the population of the area consisted of nomadic groups of hunter-foragers. It is possible that this life style could have dominated due to the low carrying capacity (i.e. lack of rain forest) in the Horton Plains as well as in most parts of the island during the LGM. It is thought that they settled in small camps i n different environments ranging from the damp and cold high plains (e.g. Horton Plains) to the lowlands (e.g. Mannar). Multi-proxy records (e.g. pollen, phytolith and TOC) from Horton Plains indicate that herding (Bos indicus?) and the incipient management of cereals (i.e. oat and barley) occured to some extent from 17,500 yrs BP onwards. Frequent burning and forest clearances (i.e. slash-and-burn) by prehistoric people may have contributed to the expansion of patanas in the Horton Plains. This also coincides with a semi-humid event (17.6 -16 ka BP) suggesting favourable climatic conditions (i.e. warmerhumid) influencing the plant management system. Multi-proxy records also indicate that the incipient management of oat and barley continued for a period of 4.5 ka BP (17.5-13 ka BP). During this period, prehistoric humans developed advanced techniques and practices for plant domestication. In the Horton Plains, environmental factors such as climate and soil forming processes coincided with incipient and succeeding land use. It is also suggested that the time lag (i.e. 4.5 ka BP) is reasonably long to consider that the origins of agriculture indicated a macro-evolutionary experiment.
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The determination of human mitochondrial DNA (mtDNA) haplogroups is not only crucial in anthropological and forensic studies, but is also helpful in the medical field to prevent the making of wrong disease associations. In recent years, high-throughput technologies and the huge amounts of data they create, as well as the regular updates to the mtDNA phylogenetic tree, mean there is a need for an automated approach which can make a speedier determination of haplogroups than can be made by using the traditional manual method. Here, we update the MitoTool (www.mitotool.org) by incorporating a novel scoring system for the determination of mtDNA into haplogroups, which has advantages on speed, accuracy and ease of implementation. In order to make the access to MitoTool easier, we also provide a stand-alone version of the program that will run on a local computer and this version is freely available at the MitoTool website.
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GENALEX is a user-friendly cross-platform package that runs within Microsoft Excel, enabling population genetic analyses of codominant, haploid and binary data. Allele frequency-based analyses include heterozygosity, F statistics, Nei's genetic distance, population assignment, probabilities of identity and pairwise relatedness. Distance-based calculations include AMOVA, principal coordinates analysis (PCA), Mantel tests, multivariate and 2D spatial autocorrelation and TWOGENER. More than 20 different graphs summarize data and aid exploration. Sequence and genotype data can be imported from automated sequencers, and exported to other software. Initially designed as tool for teaching, GENALEX 6 now offers features for researchers as well. Documentation and the program are available at http://www.anu.edu.au/BoZo/GenAlEx/
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Spectacular progress has been made recently in the study of evolution at the molecular level, primarily due to new biochemical techniques such as gene cloning and DNA sequencing. In this book, the author summarizes new developments and seeks to unify studies of evolutionary histories of organisms and the mechanisms of evolution into a single science - molecular evolutionary genetics.