The impact of modern migrations on present-day multi-ethnic Argentina as recorded on the mitochondrial DNA genome
- María Laura Catelli†1,
- Vanesa Álvarez-Iglesias†2,
- Alberto Gómez-Carballa2,
- Ana Mosquera-Miguel2,
- Carola Romanini1,
- Alicia Borosky3,
- Jorge Amigo2,
- Ángel Carracedo2,
- Carlos Vullo1, 3 and
- Antonio Salas†2Email author
© Catelli et al; licensee BioMed Central Ltd. 2011
Received: 3 February 2011
Accepted: 30 August 2011
Published: 30 August 2011
The genetic background of Argentineans is a mosaic of different continental ancestries. From colonial to present times, the genetic contribution of Europeans and sub-Saharan Africans has superposed to or replaced the indigenous genetic 'stratum'. A sample of 384 individuals representing different Argentinean provinces was collected and genotyped for the first and the second mitochondrial DNA (mtDNA) hypervariable regions, and selectively genotyped for mtDNA SNPs. This data was analyzed together with additional 440 profiles from rural and urban populations plus 304 from Native American Argentineans, all available from the literature. A worldwide database was used for phylogeographic inferences, inter-population comparisons, and admixture analysis. Samples identified as belonging to hg (hg) H2a5 were sequenced for the entire mtDNA genome.
Phylogenetic and admixture analyses indicate that only half of the Native American component in urban Argentineans might be attributed to the legacy of extinct ancestral Argentineans and that the Spanish genetic contribution is slightly higher than the Italian one. Entire H2a5 genomes linked these Argentinean mtDNAs to the Basque Country and improved the phylogeny of this Basque autochthonous clade. The fingerprint of African slaves in urban Argentinean mtDNAs was low and it can be phylogeographically attributed predominantly to western African. The European component is significantly more prevalent in the Buenos Aires province, the main gate of entrance for Atlantic immigration to Argentina, while the Native American component is larger in North and South Argentina. AMOVA, Principal Component Analysis and hgs/haplotype patterns in Argentina revealed an important level of genetic sub-structure in the country.
Studies aimed to compare mtDNA frequency profiles from different Argentinean geographical regions (e.g., forensic and case-control studies) should take into account the important genetic heterogeneity of the country in order to prevent false positive claims of association in disease studies or inadequate evaluation of forensic evidence.
The inhabitation of the Americas took place with the passage of people from northeast Asia to North America, who then rapidly moved southwards along the continent [1–4]. The first human settlements in Argentina were found in the Patagonia and dated to ~13,000 years ago (y.a.) . The colonial period (roughly 1550-1810) began with the arrival of Spanish conquerors, and their domination lasted until the independence wars. During the colonial era, the Spaniards entered Argentina from Peru and Bolivia mainly through the northern 'Camino Real' and by the Río de la Plata, and they established a permanent colony on the site of what would later become Buenos Aires. Río de la Plata was also one of the main gates of entrance for other trans-Atlantic immigrants, such as African slaves. Indigenous people were under the domination of Spanish colonizers and many of these groups were exterminated or progressively admixed with the colonizers. Only natives inhabiting the mountainous north-western and southern Argentina survived the repression. At the end of the 19th century, the Native populations were exterminated in the central region and upper Patagonia. The Argentinean National Constitution of 1853 promoted immigration from Europe, and the country received large waves of European immigrants, predominantly Italians (e.g., from South Italy) and Spanish (e.g., Galicia in northwest Spain ). In about 100 years, the census of Argentina increased by one order of magnitude to about 20 million people in 1960. Internal demographic movements were also important in Argentina during the industrialization period (1930-1950). Thus, waves of Native Americans moved from northern Native Argentinean enclaves to the largest cities of the country. In the seventies, massive numbers of immigrants would also arrive to the main cities coming from bordering countries (Bolivia, Paraguay, Uruguay, Chile, and Peru) [7–9].
Argentina is a melting pot of people with different continental ancestries but a majority of the citizens are descendents of colonial-era settlers and of the late19th and early20th century European immigrants. The official census in Argentina, INDEC (Instituto Nacional de Estadística y Censos; http://www.indec.gov.ar/), indicates that the country is populated by more than 40 million people, of which only about 600,000 (~1.7%) considered themselves as belonging to or descending from indigenous groups. About 30 officially recognized indigenous populations survived the colonial and post-colonial period up to the present and nowadays there are more than 25 Native speaking live languages . The most important ones in terms of population size are the Mapuches in the South, and the Collas (also spelled Kollas), Tobas, Wichí and Guaraní in the North.
Distribution of immigrants to Argentina coming from Italy, Spain and neighboring countries (modified from )
The study of mtDNA data has been demonstrated to be very useful in unraveling the patterns of human worldwide migrations, in particular, those occurred in America [1–3, 11–15]. Several studies have been devoted to the analysis of mtDNA in Argentinean populations. Ginther et al.  analyzed the first hypervariable region (HVS-I) in a sample of indigenous Mapuches (South); the study revealed the predominant Native American nature of this population. Cabana et al.  analyzed the HVS-I of individuals belonging to different ethnic groups from Gran Chaco (North), and focused on the historical events occurring in this northern Argentinean region. Álvarez-Iglesias et al.  showed a SNP-based methodological approach to allocate Native American mtDNAs into hgs . A sample from Córdoba (Argentina) was also analyzed by Salas et al. ; a high proportion of the Native American component was observed in the mtDNA lineages (~41%) but not on the Y-chromosome (~2%). Martínez-Marignac et al.  analyzed a sample from the city of La Plata (Central Argentina); the results corroborated the hg distribution observed in previous studies. In a sample from Argentina, the results of Bobillo et al.  showed that Amerindian hgs were most frequent in North and South (60%) and decreased to less than 50% in Central. García and Demarchi  reported hg frequencies in nine villages from central Argentina, indicating that ~80% of the lineages belonged to native American hgs. In a congress report, Catelli et al.  presented broad hg frequencies of a subset of the sample used in the present study. Mitochondrial DNA sequences were also investigated in six Mbyá-Guaraní villages (northeastern) , being A2 and D1 the ones exhibiting the highest frequencies (~41% and ~36%, respectively). Most recently, Corach et al.  investigated the genetic admixture of unrelated male individuals from eight different provinces using different sets of markers; the results showed that different ancestry components were detectable in contemporary Argentineans, the amounts depending on the genetic system applied, exhibiting large inter-individual heterogeneity.
The present study has been motivated by the following reasons: (i) although several Argentinean populations have been analyzed to date, Argentina has not been analyzed from a global perspective (with the exception of the  study which however focus on a different sampling strategy, different methodology and aims), and several regions still remain uncharacterized, (ii) there is a need to explore the levels of population stratification within the Argentinean country since this could have important consequences in different biomedical studies, (iii) a comprehensive and comparative analysis of the mtDNA patterns observed in Native communities versus rural and urban population is still lacking, and (iv) while Native American lineages in Argentina have been analyzed with certain resolution, the provenience of the trans-Atlantic immigration has been poorly inferred from control region sequences.
The geographic origin and sizes of the samples analyzed in the present study are summarized in Additional file 1: Table S1. Broad hg frequencies of a subset of these samples have been summarized in a previous congress report .
DNA was extracted using phenol-chloroform standard procedures. Written informed consent was obtained in Argentina from all the participants. In addition, an Institutional Ethical approval to carry out this study was obtained from the Equipo Argentino de Antropología Forense (EAAF) and the University of Santiago de Compostela.
PCR, sequencing and minisequencing analysis
Samples were PCR amplified and sequenced for HVS-I and HVS-II regions as described previously . In addition, all the profiles were contrasted with the phylogeny in order to detect potential artifacts e.g. . In order to increase the phylogenetic resolution, most of the samples were genotyped for sets of diagnostic SNPs mainly located in the coding region (mtSNPs). For the samples belonging to R0 (European ancestry), a set of 71 mtSNPs were genotyped as described previously  whereas samples belonging to Native American hgs were additionally genotyped for 31 mtSNPs as described in . The full set of results for the control region sequences and the mtSNPs are shown in Additional file 2: Table S2.
A database of mtDNA profiles of rural and urban populations (referred to in this article as the admixed group/population) and indigenous Argentineans has been compiled from the literature. Together with the samples analyzed here, the Argentinean database contains 824 mtDNAs representing 24 different populations. The Native American groups were collected from (a) North Argentina (n = 265), and includes Coyas (n = 61) from the provinces of Jujuy and Salta , Pilagá (n = 38) and Toba (n = 24) from Gran Chaco (Formosa), Toba (n = 43) from Chaco (Formosa), and Wichí or Mataco (n = 99) from Gran Chaco , and (b) South Argentina, represented by 39 Mapuches . The admixed populations were collected from: (a) North Argentina (n = 98), including Formosa (n = 19), Chaco (n = 5), Misiones (n = 48) and Corrientes (n = 26) ; (b) Central Argentina (n = 295) from Santa Fe (n = 6) and Buenos Aires (n = 187)  and Córdoba (n = 102) ; and (c) South Argentina (n = 47) from Río Negro (n = 46) and Chubut (n = 1) .
A database of European (Italian and Spanish) and other Argentinean neighboring populations (including Uruguay, Paraguay, Bolivia and Chile) were additionally used for the admixture analysis. Details on the samples used in this study are provided in Additional file 1: Table S1.
The first admixture model was undertaken as described by Salas et al. ; see also . Since this model is based on hg frequencies, it was only applied to infer the contribution of the European countries to the population of Argentina. This is because the Native American component was too homogeneous and the phylogenetic hg resolution was too low (at the control region level) to yield meaningful results.
The second admixed model was applied as described previously , but with an extension of the original model that is detailed below. The probability of origin of each of the sub-continental region can be computed as , where n is the number of Argentinean sequences with matches (≥ 1) in the whole database; k i , the number of times the sequence i is found in Argentina; p is , the frequency of the sequence i in each regional datasets (e.g., Spain and Italy); and p ic , the frequency of the sequence i in the whole database. The same analysis was carried out independently considering n to be the number of Argentinean sequences that have cero, one or two mutational differences from the sequences contained in the database. We will refer to P 0 , P1, and P 2 , for the admixture components of sequences that match perfectly, differ by one mutational step, or two, respectively. In order to account for different sample sizes in the source populations, admixed components (and their 95% C.I.) were built by way of bootstrapping, taken 1000 re-samples of the source populations of size 300 each (other sample sizes yielded consistent results; data not shown).
DnaSP v.5 software  was used for the computation of haplotype (H) and nucleotide (π) diversities, and mean number of pairwise differences (M). AMOVA (Analysis of Molecular Variance) and the significance of the covariance components associated with different levels of genetic structure were tested on haplotypes and haplogroup frequencies applying a non-parametric permutation procedure. The latter analyses and population pairwise FST values, between/within population average nucleotide pairwise differences, and Nei's inter-population distances, were computed using Arlequin 184.108.40.206 . Diversity indices, phylogeographic inferences and inter-population comparisons were carried out using the sequence range 16090 to 16365, since this is the common segment reported in the literature. Problematic variation located around 16189 usually associated to length heteroplasmy, e.g., 16182C or 16183C, was ignored. Principal Component Analysis (PCA) was carried out on population hg frequencies using R http://www.r-project.org/. AMOVA and PCA were performed on Argentinean samples of sample sizes ≥ 20 (see Additional file 1: Table S1).
Fisher's exact test and Pearson's chi-square test were undertaken using the R package http://www.r-project.org/, a significant value of α = 0.05 was considered.
Finally, estimation of the time to the most recent common ancestor (TMRCA) and SDs of hg H2a5 were carried out according to Saillard et al. and using an evolutionary rate estimate for the entire mtDNA molecule as reported by Soares et al. .
Summary statistics in Argentinean mtDNAs
Diversity indices in the Argentinean population groups
The diversity of European lineages in the admixed group is higher in the North (Table 2). As expected, the European component is more diverse than the Native American one (Table 2) for the haplotype diversity, corresponding with their demographic histories, which is about four times older for the Europeans than for the Native Americans with the latter suffering strong bottlenecks at the time of entrance through the Bering Strait [1–4]; nucleotide diversity shows the opposite pattern which in this case most likely mirrors the low resolution of the HVS-I in a high proportion of European lineages (e.g. macro-hgs R0). Finally, admixed groups are genetically more diverse than the Native American ones (Table 2).
Phylogeography of mtDNA lineages in Argentina
The Native American component observed in the urban populations was 66%, 41%, and 70% in South, Central, and North, respectively (Figure 1) and it was virtually 100% in most Native American groups. The distribution of Native American hgs was substantially different in the main Argentinean regions especially when looking at urban populations (Figure 1A); for instance, hg A2 constitutes 30% in North admixed populations but only 17% in South admixed populations (Figure 1A) (Pearson's χ2 test; un-adjusted P-value = 0.00561). Moreover, the percentages of the different Native American hgs significantly differ when comparing admixed with native populations (Figure 1A vs Figure 1B), even when comparing samples from the same geographical location; thus, for example, when considering only the Native American component of the urban populations, hg B2 is 19% in North admixed populations versus 38% in North Natives (Pearson's χ2 test; un-adjusted P-value = 0.01808), or hgs B2 and D1 have frequencies of 11% versus 46% (hg B2; Pearson's χ2 test; un-adjusted P-value < 0.0000) and 46% versus 23% (hg D1; Pearson's χ2 test; un-adjusted P-value = 0.00334) in South admixed populations versus South Natives.
The lower prevalence of Native American hgs observed in Central Argentina coincides with the high proportion of European lineages in this region, mirroring the fact that this was the main European settlement area in the country; e.g. the European component is significantly more predominant in Central (56%) than in North (29%; Pearson's χ2 test; un-adjusted P-value < 0.00901).
African slaves were brought to Argentina by Europeans during the period of the Atlantic slave trade [30, 35, 36] and they entered the country following the main entrance provided by the Río de la Plata, but the impact of this process in the mtDNA pool of Argentina was much lower than in other American regions [11, 14, 37, 38]. Sub-Saharan lineages represent only 1-3% of the total mtDNA component observed in Argentina.. The most prevalent sub-Saharan HVS-I mtDNAs in Argentina are: (i) the L2c2 profile C16223T C16264T C16278T T16311C, which also appears in Brazil [38, 39] and other American locations ; exact matches of this mtDNA profile were found in Gabon , Cabinda , Mozambique  and some other South African locations; and (ii) the L3f1a mtDNA G16129A T16209C C16223T C16292T C16295T T16311C that also appeared in Brazil [39, 44] and in US 'African Americans' [40, 45]; this hg has a likely origin in East Africa  but probably arrived in America via West-Central Africa  or Southwest Africa ; see also . Other typical North African profiles belonging to hg U6 reached Argentina via Portugal or Madeira (such as T16172C C16174T C16188T A16219G T16311C; hg U6b) [46, 47], Canary islands (G16129A C16169T T16172C T16189C ) or directly from Morocco (T16172C A16183C T16189C A16219G C16239T C16278T T16362C ). Only two Argentinean mtDNAs belong to hg M1, the hg that is prevalent in the Middle East and East Africa and with a wide distribution in several African regions. For instance, matches for G16129A T16189C C16223T T16249C T16311C T16359C were observed in the Chad Basin , Ethiopia  and Egypt  while profile G16129A T16189C T16249C T16311C is present only in the Arabs in Chad  and outside Africa in Spain [53, 54].
Finally, it is also interesting to note that haplotype frequencies vary substantially between populations (Additional file 4: Figure S2). For instance, Native American groups have several haplotypes at high frequencies (probably due to historical bottlenecks).
Admixture analysis and the mtDNA indigenous legacy in present-day Argentina
Admixture proportions, P0, P1, P2 (95% C.I. in brackets) of admixed Argentineans referring to their Native American (mainly hgs A2, B2, C1 and D1) and European components according to the main source populations
Urban Argentinean Populations (n= 800)
Argentinean Native Americans
(n= 303; h= 82)
Argentinean Native Americans
(n= 303; h= 82)
Argentinean Native Americans
(n= 303; h= 82)
Native American Component (n = 388)
HS 0 = 25 (0.30)
HS 1 = 96 (1.17)
HS 2 = 141 (1.72)
Native American Component (n = 388)
P0 = 0.50 (0.03)
P1 = 0.46 (0.03)
P2 = 0.42 (0.03)
( n = 488; h = 190)
( n = 488; h = 190)
( n = 488; h = 190)
Native American Component (n = 388)
HS 0 = 38 (0.20)
HS 1 = 108 (0.56)
HS 2 = 144 (0.76)
Native American Component (n = 388)
P0 = 0.50 (0.03)
P1 = 0.54 (0.03)
P2 = 0.58 (0.03)
( n = 1467; h = 497)
( n = 1467; h = 497)
( n = 1467; h = 497)
European component (n = 412)
HS 0 = 81 (0.16)
HS 1 = 159 (0.32)
HS 2 = 174 (0.35)
European component (n = 412)
P0 = 0.55 (0.5499-0.5564)
P1 = 0.49 (0.4896-0.4961)
P2 = 0.50 (0.5009-0.5074)
( n = 1667; h = 676)
( n = 1667; h = 676)
( n = 1667; h = 676)
European component (n = 412)
HS 0 = 76 (0.11)
HS 1 = 177 (0.26)
HS 2 = 185 (0.27)
European component (n = 412)
P0 = 0.45 (0.4436-0.4501)
P1 = 0.50 (0.5039-0.5104)
P2 = 0.49 (0.4926-0.4991)
Characterizing the most likely origin of the European component in present-day Argentina
The models employed here considers only the two main historical contributors to the European immigration in Argentina, namely Italy and Spain (representing > 80% of immigrants coming from Europe in the last 150 years; Table 1).
The mathematical admixed model based on hg frequencies indicates that Italy most likely contributed 33% (95% SD: 9.2) of the European mtDNA hgs to the Argentinean genome versus 67% (95% SD: 8.1) from Spain. The admixed model based on haplotype sharing yielded slightly different but quite consistent results, roughly indicating that Spain and Italy contributed almost similarly to the European component in Argentina (Table 3), although there are slight differences when considering perfect haplotype matches (P 0 ; indicating ~55% contribution from Spain) versus considering one or two mutational step differences between HVS-I profiles (P 1 and P 2 , indicating about equal contribution from Spain and Italy). The haplotype shared between Argentina and Europe seems to favor the hypothesis that the Spanish legacy in Argentina is slightly larger than the one from Italy (Table 3), either when looking at perfect haplotype matches (HS 0 ) or one (HS 1 ) or two (HS 2 ) mutational step differences.
AMOVA analysis of Argentinean populations
AMOVA of Argentinean populations
Pop. within groups
Additional file 5: Figure S3A displays population pairwise FST values, indicating that the highest figures occur in comparisons involving Native American populations. Nei's genetic distances are in good agreement with pairwise FST matrix values (Additional file 5: Figure S3B). Population structure is also reveled when observing that values of the average number of nucleotide differences between are higher than those for within population comparisons (Additional file 5: Figure S3B).
Principal component analysis of Argentinean populations
Complete H2a5 genomes
Finally, there is another entire genome sharing the same features as H2a5. It does not carry private mutations, lacks transition A1842G and was observed outside the Iberian Peninsula in the Czech Republic .
Admixed Argentineans have an important Native American background. Admixture models indicated that about half of this Native American component could be non-autochthonous. The exact figures are only tentative given a main limitation of the present study, namely, we did not collect bio-geographic information for most of the donors of our samples, and this is information was not available for most of the data collected from the literature; therefore, some donors could be in reality Native American immigrants (or descents form parents) from neighboring countries. Given the results of admixture analysis, one could tentatively hypothesize an important demographic influence coming from neighboring countries that have a predominantly Native American background and where massive immigrations to Argentina have come from in recent times (such as Paraguay, Peru and Bolivia). There are several other pieces of evidence that would further support this hypothesis. Firstly, the Native American component in the urban admixed populations differs very significantly from the Native American component of the indigenous populations from North and South Argentina (Figure 1). A simple process of (recent) admixture of Europeans with indigenous peoples would tend to keep the same hg frequencies in admixed and indigenous people, which is not the case here. Secondly, several diversity indices are significantly higher in the Native American component of admixed Argentineans than in the indigenous groups (see above and Table 2). This could be easily explained if one assumes that the Native American component in the admixed populations has being continuously enriched with the arrival of a different Native American component coming from recent neighboring immigrants together with migrants arriving from rural Argentinean regions with large Native American components (from northeast and northwest Argentina). On the contrary the indigenous groups would tend to reduce its genetic diversity with time due to drift (smaller effective population size) and isolation from Europeans and other immigrants. The data therefore indicates that the Native American component observed in the urban groups only partially mirrors the populations that inhabited the regions in colonial times. An important proportion of the autochthonous Argentinean Native American component could have arrived to rural and urban cities in modern times. For instance, after the economical crisis suffered in the country in the 1930's, waves of people from rural areas with high Native American component moved to industrialized cities [7–9].
From the different analyses carried out, the contribution of Spain in the present Argentineans seems to be slightly higher than that of Italy, although the estimates vary significantly depending on the admixture model. The results agree quite well with the historical records (Table 1). Thus, until 1850 almost all immigrants came from Spain. From 1850 onwards, thousand of Spaniards and Italians left their countries with final destiny in Argentina; but Spaniards were generally more prevalent than Italians [7–9]. Moreover, 'Spanish ancestry' could have enriched the Argentinean European component through immigrants coming from neighboring countries, where Spaniards contributed significantly more than Italians (Uruguay, Chile, etc).
Some caveats should be added concerning admixture analysis. Computations are based on a meta-analysis by way of collecting samples that did not necessarily follow the same sampling criteria. Thus, for instance, samples from Argentina were collected in different forensic, anthropological or clinical laboratories, using different sampling criteria; a meta-analysis could contribute in the direction of balancing different sampling strategies or the opposite in case e.g. of some sample being much larger than others. Moreover, it is well-known from the census that some regions in some (European/American) countries contributed more than others to Argentina; but it is not possible to determine how the different regions should be represented in the source meta-populations; a reasonable solution seems to merge all the available data from each country without any a priori regarding sampling origin or institution involved (as done in the present study).
Admixture analysis as carried out in the present study only provides a view of the female historical and contemporary demography (as inferred from the mtDNA); there are however indications showing that the ancestral proportions inferred from other markers are different [19, 25], indicating for instance a sex bias in the contribution coming from the different source populations (at least from Europe).
It is also interesting to note that the genetic diversity of European lineages in the admixed groups is higher in the North than in the other regions, independently to the fact that the proportion of European in higher in Central Argentina. This is consistent with the historical documentation indicating that the 'Camino Real' to Potosí (Bolivia) and Lima (Peru) was by far the most important trade route during colonial times. Thus, Río de la Plata was the main gate for European immigrants into Argentina in modern times, but contributing less mtDNA diversity than the northern 'Camino Real'.
The impact of the African slave trade on present day Argentineans seems minimal compared to other South American locations (e.g., Brazil and Colombia), and comes most likely from West-central Africa, but also from Angola and Mozambique (see ).
The issue of population stratification in Argentina has stimulated an intense debate concerning the use of autosomal markers in forensic casework and paternity tests. While some hold a position that stratification is an issue of little interest in forensic databases , others claim a more important role in both forensic and clinical genetics [19, 58–61, 19, 21]. The present study certainly indicates the existence of a clear-cut sub-structure in the country; this is shown by the differences observed in hg distributions, AMOVA analysis, population differentiation tests, statistical hypothesis testing on hg frequencies, and PCA. Population stratification could have obvious implications in different biomedical applications in Argentina. This would not only be in forensic genetics (where inter-population haplotype differences can have important consequences for the weight of the evidence) but also in other population-based studies (e.g., case-control studies) dealing with the analysis of the potential role of mtDNA variants in common diseases, where false positives are unfortunately higher than desirable [62–64]. By extrapolation, and given the important ancestral components and regional differences observed in the mtDNA variation, stratification should also be a matter of interest when using autosomal SNPs. The forensic field should not ignore forensic stratification in their routine casework [60, 65], especially if one takes into account that local databases do not exist in Argentina and that most of the forensic casework is carried out in the largest cities under the risk of using a single database for cases arriving from any province in the country.
We would like to thank the donors for their participation in the present project. This project was supported by grants from "Fundación de Investigación Médica Mutua Madrileña" (2008/CL444) and "Ministerio de Ciencia e Innovación" (SAF2008-02971) given to AS. The project was also partially supported by "Argentinean Government, Agencia de Cooperación Española para el desarrollo and European Union". There are no conflicts of interest in this study. The complete genomes analyzed in the present study have been submitted to GenBank under accession numbers JF284816-JF284818.
- Tamm E, Kivisild T, Reidla M, Metspalu M, Smith DG, Mulligan CJ, Bravi CM, Rickards O, Martinez-Labarga C, Khusnutdinova EK, Fedorova SA, Golubenko MV, Stepanov VA, Gubina MA, Zhadanov SI, Ossipova LP, Damba L, Voevoda MI, Dipierri JE, Villems R, Malhi RS: Beringian standstill and spread of Native American founders. PLoS ONE. 2007, 2 (9): e829-10.1371/journal.pone.0000829.PubMed CentralView ArticlePubMedGoogle Scholar
- Perego UA, Achilli A, Angerhofer N, Accetturo M, Pala M, Olivieri A, Kashani BH, Ritchie KH, Scozzari R, Kong Q-P, Myres NM, Salas A, Semino O, Bandelt H-J, Woodward SR, Torroni A: Distinctive Paleo-Indian migration routes from Beringia marked by two rare mtDNA haplogroups. Curr Biol. 2009, 19 (1): 1-8. 10.1016/j.cub.2008.11.058.View ArticlePubMedGoogle Scholar
- Achilli A, Perego UA, Bravi CM, Coble MD, Kong Q-P, Woodward SR, Salas A, Torroni A, Bandelt H-J: The phylogeny of the four pan-American MtDNA haplogroups: implications for evolutionary and disease studies. PLoS ONE. 2008, 3 (3): e1764-10.1371/journal.pone.0001764.PubMed CentralView ArticlePubMedGoogle Scholar
- Perego UA, Angerhofer N, Pala M, Olivieri A, Lancioni H, Kashani BH, Carossa V, Ekins JE, Gomez-Carballa A, Huber G, Zimmermann B, Corach D, Babudri N, Panara F, Myres NM, Parson W, Semino O, Salas A, Woodward SR, Achilli A, Torroni A: The initial peopling of the Americas: a growing number of founding mitochondrial genomes from Beringia. Genome Res. 2010, 20 (9): 1174-1179. 10.1101/gr.109231.110.PubMed CentralView ArticlePubMedGoogle Scholar
- Mandrini RJ: La Argentina aborigen. De los primeros pobladores a 1910. 2008, Buenos Aires: Siglo XXI Editores Argentina S.AGoogle Scholar
- Salas A, Comas D, Lareu MV, Bertranpetit J, Carracedo Á: mtDNA analysis of the Galician population: a genetic edge of European variation. Eur J Hum Genet. 1998, 6 (4): 365-375. 10.1038/sj.ejhg.5200202.View ArticlePubMedGoogle Scholar
- Lattes ZR, Lattes AE: Migración internacional y dinámica demográfica en la Argentina durante la segunda mitad del siglo XX. 2003, Buenos Aires: CEMLA; Estudios migratorios latinoamericanos, 50:Google Scholar
- Lattes AE, Sautu R: Immigration, Demographic Change and Industrial Development in Argentina. 1974, Buenos Aires, Argentina: TAPINOS, GEORGESGoogle Scholar
- Lattes ZR, Lattes AE: La población de Argentina. 1975, Buenos Aires: Instituto Nacional de Estadistica y CensosGoogle Scholar
- Lewis MP: Ethnologue. Languages of the world. 2009, Dallas, Texas: SIR International, 16Google Scholar
- Salas A, Richards M, Lareu MV, Sobrino B, Silva S, Matamoros M, Macaulay V, Carracedo Á: Shipwrecks and founder effects: Divergent demographic histories reflected in Caribbean mtDNA. Am J Phys Anthropol. 2005, 128: 855-860. 10.1002/ajpa.20117.View ArticlePubMedGoogle Scholar
- Gilbert MT, Kivisild T, Gronnow B, Andersen PK, Metspalu E, Reidla M, Tamm E, Axelsson E, Gotherstrom A, Campos PF, Rasmussen M, Metspalu M, Higham TF, Schwenninger JL, Nathan R, De Hoog CJ, Koch A, Moller LN, Andreasen C, Meldgaard M, Villems R, Bendixen C, Willerslev E: Paleo-Eskimo mtDNA genome reveals matrilineal discontinuity in Greenland. Science. 2008, 320 (5884): 1787-1789. 10.1126/science.1159750.View ArticlePubMedGoogle Scholar
- Fagundes NJ, Kanitz R, Eckert R, Valls AC, Bogo MR, Salzano FM, Smith DG, Silva WA, Zago MA, Ribeiro-dos-Santos AK, Santos SE, Petzl-Erler ML, Bonatto SL: Mitochondrial population genomics supports a single pre-Clovis origin with a coastal route for the peopling of the Americas. Am J Hum Genet. 2008, 82 (3): 583-592. 10.1016/j.ajhg.2007.11.013.PubMed CentralView ArticlePubMedGoogle Scholar
- Mendizabal I, Sandoval K, Berniell-Lee G, Calafell F, Salas A, Martínez-Fuentes A, Comas D: Genetic origin, admixture, and asymmetry in maternal and paternal human lineages in Cuba. BMC Evol Biol. 2008, 8: 213-10.1186/1471-2148-8-213.PubMed CentralView ArticlePubMedGoogle Scholar
- Sandoval K, Buentello-Malo L, Peñaloza-Espinosa R, Avelino H, Salas A, Calafell F, Comas D: Linguistic and maternal genetic diversity are not correlated in Native Mexicans. Hum Genet. 2009, 126 (4): 521-531. 10.1007/s00439-009-0693-y.PubMed CentralView ArticlePubMedGoogle Scholar
- Ginther C, Corach D, Penacino GA, Rey JA, Carnese FR, Hutz MH, Anderson A, Just J, Salzano FM, King MC: Genetic variation among the Mapuche Indians from the Patagonian region of Argentina: mitochondrial DNA sequence variation and allele frequencies of several nuclear genes. Exs. 1993, 67: 211-219.PubMedGoogle Scholar
- Cabana GS, Merriwether DA, Hunley K, Demarchi DA: Is the genetic structure of Gran Chaco populations unique? Interregional perspectives on native South American mitochondrial DNA variation. Am J Phys Anthropol. 2006, 131 (1): 108-119. 10.1002/ajpa.20410.View ArticlePubMedGoogle Scholar
- Álvarez-Iglesias V, Jaime JC, Carracedo Á, Salas A: Coding region mitochondrial DNA SNPs: targeting East Asian and Native American haplogroups. Forensic Sci Int Genet. 2007, 1: 44-55. 10.1016/j.fsigen.2006.09.001.View ArticlePubMedGoogle Scholar
- Salas A, Jaime JC, Álvarez-Iglesias V, Carracedo Á: Gender bias in the multi-ethnic genetic composition of Central Argentina. J Hum Genet. 2008, 53: 662-674. 10.1007/s10038-008-0297-8.View ArticlePubMedGoogle Scholar
- Martínez-Marignac VL, Bravi CM, Lahitte HB, Bianchi NO: Estudio del ADN mitocondrial de una muestra de la ciudad de la Plata. Revista Argentina de Antropología Biológica. 1999, 2 (1): 281-300.Google Scholar
- Bobillo MC, Zimmermann B, Sala A, Huber G, Rock A, Bandelt H-J, Corach D, Parson W: Amerindian mitochondrial DNA haplogroups predominate in the population of Argentina: towards a first nationwide forensic mitochondrial DNA sequence database. Int J Legal Med. 2009, 74 (1): 65-76.Google Scholar
- Garcia A, Demarchi DA: Incidence and distribution of Native American mtDNA haplogroups in central Argentina. Hum Biol. 2009, 81 (1): 59-69. 10.3378/027.081.0105.View ArticlePubMedGoogle Scholar
- Catelli L, Romanini C, Borosky A, Salado-Puerto M, Prieto L, Vullo C: Common mitochondrial DNA haplogroups observed in an Argentine population database sample. Forensic Sci Int Genet Supplement Series. 2010,Google Scholar
- Sala A, Arguelles CF, Marino ME, Bobillo C, Fenocchio A, Corach D: Genetic analysis of six communities of Mbya-Guarani inhabiting northeastern Argentina by means of nuclear and mitochondrial polymorphic markers. Hum Biol. 2010, 82 (4): 433-456. 10.3378/027.082.0406.View ArticlePubMedGoogle Scholar
- Corach D, Lao O, Bobillo C, van Der Gaag K, Zuniga S, Vermeulen M, van Duijn K, Goedbloed M, Vallone PM, Parson W, de Knijff P, Kayser M: Inferring continental ancestry of argentineans from Autosomal, Y-chromosomal and mitochondrial DNA. Ann Hum Genet. 2010, 74 (1): 65-76. 10.1111/j.1469-1809.2009.00556.x.View ArticlePubMedGoogle Scholar
- Salas A, Carracedo Á, Macaulay V, Richards M, Bandelt H-J: A practical guide to mitochondrial DNA error prevention in clinical, forensic, and population genetics. Biochem Biophys Res Commun. 2005, 335 (3): 891-899. 10.1016/j.bbrc.2005.07.161.View ArticlePubMedGoogle Scholar
- Álvarez-Iglesias V, Mosquera-Miguel A, Cerezo M, Quintáns B, Zarrabeitia MT, Cuscó I, Lareu MV, García O, Pérez-Jurado L, Carracedo Á, Salas A: New population and phylogenetic features of the internal variation within mitochondrial DNA macro-haplogroup R0. PLoS One. 2009, 4 (4): e5112-10.1371/journal.pone.0005112.PubMed CentralView ArticlePubMedGoogle Scholar
- García-Bour J, Pérez-Pérez A, Álvarez S, Fernández E, López-Parra AM, Arroyo-Pardo E, Turbón D: Early population differentiation in extinct aborigines from Tierra del Fuego-Patagonia: ancient mtDNA sequences and Y-chromosome STR characterization. Am J Phys Anthropol. 2004, 123 (4): 361-370. 10.1002/ajpa.10337.View ArticlePubMedGoogle Scholar
- Salas A, Lovo-Gomez J, Alvarez-Iglesias V, Cerezo M, Lareu MV, Macaulay V, Richards MB, Carracedo A: Mitochondrial echoes of first settlement and genetic continuity in El Salvador. PLoS One. 2009, 4 (9): e6882-10.1371/journal.pone.0006882.PubMed CentralView ArticlePubMedGoogle Scholar
- Salas A, Richards M, Lareu MV, Scozzari R, Coppa A, Torroni A, Macaulay V, Carracedo Á: The African diaspora: mitochondrial DNA and the Atlantic slave trade. Am J Hum Genet. 2004, 74 (3): 454-465. 10.1086/382194.PubMed CentralView ArticlePubMedGoogle Scholar
- Librado P, Rozas J: DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009, 25 (11): 1451-1452. 10.1093/bioinformatics/btp187.View ArticlePubMedGoogle Scholar
- Excoffier L, Smouse PE, Quattro JM: Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics. 1992, 131 (2): 479-491.PubMed CentralPubMedGoogle Scholar
- Saillard J, Forster P, Lynnerup N, Bandelt H-J, Norby S: mtDNA variation among Greenland Eskimos: the edge of the Beringian expansion. Am J Hum Genet. 2000, 67 (3): 718-726. 10.1086/303038.PubMed CentralView ArticlePubMedGoogle Scholar
- Soares P, Ermini L, Thomson N, Mormina M, Rito T, Röhl A, Salas A, Oppenheimer S, Macaulay V, Richards MB: Correcting for purifying selection: an improved human mitochondrial molecular clock. Am J Hum Genet. 2009, 84 (6): 740-759. 10.1016/j.ajhg.2009.05.001.PubMed CentralView ArticlePubMedGoogle Scholar
- Salas A, Carracedo Á, Richards M, Macaulay V: Charting the Ancestry of African Americans. Am J Hum Genet. 2005, 77 (4): 676-680. 10.1086/491675.PubMed CentralView ArticlePubMedGoogle Scholar
- Salas A, Torroni A, Richards M, Quintana-Murci L, Hill C, Macaulay V, Carracedo Á: The phylogeography of mitochondrial DNA haplogroup L3g in Africa and the Atlantic slave trade. Am J Hum Genet. 2004, 75: 524-526. 10.1086/423824.PubMed CentralView ArticleGoogle Scholar
- Salas A, Acosta A, Álvarez-Iglesias V, Cerezo M, Phillips C, Lareu MV, Carracedo Á: The mtDNA ancestry of admixed Colombian populations. Am J Hum Biol. 2008, 20: 584-591. 10.1002/ajhb.20783.View ArticlePubMedGoogle Scholar
- Alves-Silva J, da Silva Santos M, Guimaraes PE, Ferreira AC, Bandelt H-J, Pena SD, Prado VF: The ancestry of Brazilian mtDNA lineages. Am J Hum Genet. 2000, 67 (2): 444-461. 10.1086/303004.PubMed CentralView ArticlePubMedGoogle Scholar
- Carvalho BM, Bortolini MC, BdS SE, Ribeiro-dos-Santos ÂKC: Mitochondrial DNA mapping of social-biological interactions in Brazilian Amazonian African-descendant populations. Genet Mol Biol. 2008, 31 (1): 12-22. 10.1590/S1415-47572008000100002.View ArticleGoogle Scholar
- Monson KL, Miller KWP, Wilson MR, DiZinno JA, Budowle B: The mtDNA Population Database: an integrated software and database resource for forensic comparison. Forensic Sci Commun. 2002, 4: no 2-Google Scholar
- Quintana-Murci L, Quach H, Harmant C, Luca F, Massonnet B, Patin E, Sica L, Mouguiama-Daouda P, Comas D, Tzur S, Balanovsky O, Kidd KK, Kidd JR, van der Veen L, Hombert JM, Gessain A, Verdu P, Froment A, Bahuchet S, Heyer E, Dausset J, Salas A, Behar DM: Maternal traces of deep common ancestry and asymmetric gene flow between Pygmy hunter-gatherers and Bantu-speaking farmers. Proc Natl Acad Sci USA. 2008, 105 (5): 1596-1601. 10.1073/pnas.0711467105.PubMed CentralView ArticlePubMedGoogle Scholar
- Beleza S, Gusmão L, Amorim A, Carracedo Á, Salas A: The genetic legacy of western Bantu migrations. Hum Genet. 2005, 117 (4): 366-375. 10.1007/s00439-005-1290-3.View ArticlePubMedGoogle Scholar
- Salas A, Richards M, De la Fé T, Lareu MV, Sobrino B, Sánchez-Diz P, Macaulay V, Carracedo Á: The making of the African mtDNA landscape. Am J Hum Genet. 2002, 71 (5): 1082-1111. 10.1086/344348.PubMed CentralView ArticlePubMedGoogle Scholar
- Barbosa AB, da Silva LA, Azevedo DA, Balbino VQ, Mauricio-da-Silva L: Mitochondrial DNA control region polymorphism in the population of Alagoas state, north-eastern Brazil. J Forensic Sci. 2008, 53 (1): 142-146. 10.1111/j.1556-4029.2007.00619.x.View ArticlePubMedGoogle Scholar
- Diegoli TM, Irwin JA, Just RS, Saunier JL, O'Callaghan JE, Parsons TJ: Mitochondrial control region sequences from an African American population sample. Forensic Sci Int Genet. 2009, 4 (1): e45-52. 10.1016/j.fsigen.2009.04.010.View ArticlePubMedGoogle Scholar
- Brehm A, Pereira L, Kivisild T, Amorim A: Mitochondrial portraits of the Madeira and Acores archipelagos witness different genetic pools of its settlers. Hum Genet. 2003, 114 (1): 77-86. 10.1007/s00439-003-1024-3.View ArticlePubMedGoogle Scholar
- Pereira L, Prata MJ, Amorim A: Diversity of mtDNA lineages in Portugal: not a genetic edge of European variation. Ann Hum Genet. 2000, 64: 491-506. 10.1046/j.1469-1809.2000.6460491.x.View ArticlePubMedGoogle Scholar
- Rando JC, Cabrera VM, Larruga JM, Hernández M, González AM, Pinto F, Bandelt H-J: Phylogeographic patterns of mtDNA reflecting the colonization of the Canary Islands. Ann Hum Genet. 1999, 63: 413-428. 10.1046/j.1469-1809.1999.6350413.x.View ArticlePubMedGoogle Scholar
- Rhouda T, Martinez-Redondo D, Gomez-Duran A, Elmtili N, Idaomar M, Diez-Sanchez C, Montoya J, Lopez-Perez MJ, Ruiz-Pesini E: Moroccan mitochondrial genetic background suggests prehistoric human migrations across the Gibraltar Strait. Mitochondrion. 2009, 9 (6): 402-407. 10.1016/j.mito.2009.07.003.View ArticlePubMedGoogle Scholar
- Černý V, Salas A, Hájek M, Žaloudková M, Brdička R: A bidirectional corridor in the Sahel-Sudan belt and the distinctive features of the Chad Basin populations: a history revealed by the mitochondrial DNA genome. Ann Hum Genet. 2007, 71 (Pt 4): 433-452.PubMedGoogle Scholar
- Kivisild T, Reidla M, Metspalu E, Rosa A, Brehm A, Pennarun E, Parik J, Geberhiwot T, Usanga E, Villems R: Ethiopian mitochondrial DNA heritage: tracking gene flow across and around the gate of tears. Am J Hum Genet. 2004, 75 (5): 752-770. 10.1086/425161.PubMed CentralView ArticlePubMedGoogle Scholar
- Saunier JL, Irwin JA, Strouss KM, Ragab H, Sturk KA, Parsons TJ: Mitochondrial control region sequences from an Egyptian population sample. Forensic Sci Int Genet. 2009, 3 (3): e97-103. 10.1016/j.fsigen.2008.09.004.View ArticlePubMedGoogle Scholar
- Maca-Meyer N, Sánchez-Velasco P, Flores C, Larruga JM, González AM, Oterino A, Leyva-Cobian F: Y chromosome and mitochondrial DNA characterization of Pasiegos, a human isolate from Cantabria (Spain). Ann Hum Genet. 2003, 67 (Pt 4): 329-339.View ArticlePubMedGoogle Scholar
- Crespillo M, Luque JA, Paredes M, Fernández R, Ramirez E, Valverde JL: Mitochondrial DNA sequences for 118 individuals from northeastern Spain. Int J Legal Med. 2000, 114 (1-2): 130-132. 10.1007/s004140000158.View ArticlePubMedGoogle Scholar
- Achilli A, Rengo C, Magri C, Battaglia V, Olivieri A, Scozzari R, Cruciani F, Zeviani M, Briem E, Carelli V, Moral P, Dugoujon JM, Roostalu U, Loogvali EL, Kivisild T, Bandelt H-J, Richards M, Villems R, Santachiara-Benerecetti AS, Semino O, Torroni A: The molecular dissection of mtDNA haplogroup H confirms that the Franco-Cantabrian glacial refuge was a major source for the European gene pool. Am J Hum Genet. 2004, 75 (5): 910-918. 10.1086/425590.PubMed CentralView ArticlePubMedGoogle Scholar
- Kivisild T, Shen P, Wall DP, Do B, Sung R, Davis K, Passarino G, Underhill PA, Scharfe C, Torroni A, Scozzari R, Modiano D, Coppa A, de Knijff P, Feldman M, Cavalli-Sforza LL, Oefner PJ: The role of selection in the evolution of human mitochondrial genomes. Genetics. 2006, 172 (1): 373-387.PubMed CentralView ArticlePubMedGoogle Scholar
- Marino M, Sala A, Bobillo C, Corach D: Inferring genetic sub-structure in the population of Argentina using fifteen microsatellite loci. Forensic Sci Int Genet. 2008, 1: 350-352. 10.1016/j.fsigss.2007.10.135.View ArticleGoogle Scholar
- Toscanini U, Berardi G, Amorim A, Carracedo Á, Salas A, Gusmão L, Raimondi E: Forensic considerations on STR databases in Argentina. Int Congress Series. 2006, 1288: 337-339.View ArticleGoogle Scholar
- Toscanini U, Gusmao L, Berardi G, Amorim A, Carracedo A, Salas A, Raimondi E: Testing for genetic structure in different urban Argentinian populations. Forensic Sci Int. 2007, 165 (1): 35-40. 10.1016/j.forsciint.2006.02.042.View ArticlePubMedGoogle Scholar
- Toscanini U, Gusmao L, Berardi G, Amorim A, Carracedo A, Salas A, Raimondi E: Y chromosome microsatellite genetic variation in two Native American populations from Argentina: population stratification and mutation data. Forensic Sci Int Genet. 2008, 2 (4): 274-280. 10.1016/j.fsigen.2008.03.001.View ArticlePubMedGoogle Scholar
- Toscanini U, Salas A, Carracedo Á, Berardi G, Amorim A, Gusmão L, Raimondi E: A simulation-based approach to evaluate population stratification in Argentina. Forensic Sci Int Genet SS. 2008, 1: 662-663. 10.1016/j.fsigss.2007.10.070.View ArticleGoogle Scholar
- Mosquera-Miguel A, Álvarez-Iglesias V, Vega A, Milne R, Cabrera de León A, Benitez J, Carracedo Á, Salas A: Is mitochondrial DNA variation associated with sporadic breast cancer risk?. Cancer Res. 2008, 68 (2): 623-625. 10.1158/0008-5472.CAN-07-2385.View ArticlePubMedGoogle Scholar
- Salas A, Carracedo Á: Studies of association in complex diseases: statistical problems related to the analysis of genetic polymorphisms. Rev Clin Esp. 2007, 207: 563-565. 10.1157/13111575.View ArticlePubMedGoogle Scholar
- Salas A, Fachal L, Marcos-Alonso S, Vega A, Martinón-Torres F, ESIGEM G: Investigating the role of mitochondrial haplogroups in genetic predisposition to meningococcal disease. PLoS One. 2009, 4 (12): e8347-10.1371/journal.pone.0008347.PubMed CentralView ArticlePubMedGoogle Scholar
- Toscanini U, Salas A, Garcia-Magarinos M, Gusmao L, Raimondi E: Population stratification in Argentina strongly influences likelihood ratio estimates in paternity testing as revealed by a simulation-based approach. Int J Legal Med. 2010, 124 (1): 63-69. 10.1007/s00414-009-0359-2.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.