Copyright © 2001 The American Society of Human Genetics. All rights reserved.
The American Journal of Human Genetics, Volume 69, Issue 3, 615-628, 1 September 2001
doi:10.1086/323299
Tatiana Karafet1, 3, Liping Xu4, Ruofu Du4, William Wang5, Shi Feng5, R.S. Wells6, Alan J. Redd1, Stephen L. Zegura2 and Michael F. Hammer1, 2,
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1 Laboratory of Molecular Systematics and Evolution, University of Arizona, Tucson
2 Department of Anthropology, University of Arizona, Tucson
3 Laboratory of Human Molecular and Evolutionary Genetics, Institute of Cytology and Genetics, Novosibirsk, Russia
4 Institute of Genetics, Chinese Academy of Sciences, Beijing
5 Department of Electronic Engineering, City University of Hong Kong, Kowloon
6 Wellcome Trust Centre for Human Genetics, University of Oxford, Headington, United Kingdom
Address for correspondence and reprints: Dr. Michael Hammer, Department EEB, Biosciences West, University of Arizona, Tucson, AZ 85721Abstract
Asia has served as a focal point for human migration during much of the Late Pleistocene and Holocene. Clarification of East Asia’s role as a source and/or transit point for human dispersals requires that this region’s own settlement history be understood. To this end, we examined variation at 52 polymorphic sites on the nonrecombining portion of the Y chromosome (NRY) in 1,383 unrelated males, representing 25 populations from southern East Asia (SEAS), northern East Asia (NEAS), and central Asia (CAS). The polymorphisms defined 45 global haplogroups, 28 of which were present in these three regions. Although heterozygosity levels were similar in all three regions, the average pairwise difference among haplogroups was noticeably smaller in SEAS. Multidimensional scaling analysis indicated a general separation of SEAS versus NEAS and CAS populations, and analysis of molecular variance produced very different values of ΦST in NEAS and SEAS populations. In spatial autocorrelation analyses, the overall correlogram exhibited a clinal pattern; however, the NEAS populations showed evidence of both isolation by distance and ancient clines, whereas there was no evidence of structure in SEAS populations. Nested cladistic analysis demonstrated that population history events and ongoing demographic processes both contributed to the contrasting patterns of NRY variation in NEAS and SEAS. We conclude that the peopling of East Asia was more complex than earlier models had proposed—that is, a multilayered, multidirectional, and multidisciplinary framework is necessary. For instance, in addition to the previously recognized genetic and dental dispersal signals from SEAS to NEAS populations, CAS has made a significant contribution to the contemporary gene pool of NEAS, and the Sino-Tibetan expansion has left traces of a genetic trail from northern to southern China.
| Y-Chromosomal Diversity in Europe Is Clinal and Influenced Primarily by Geography, Rather than by Language The American Journal of Human Genetics, Volume 67, Issue 6, 1 December 2000, Pages 1526-1543 Zoë H. Rosser, Tatiana Zerjal, Matthew E. Hurles, Maarja Adojaan, Dragan Alavantic, António Amorim, William Amos, Manuel Armenteros, Eduardo Arroyo, Guido Barbujani, Gunhild Beckman, Lars Beckman, Jaume Bertranpetit, Elena Bosch, Daniel G. Bradley, Gaute Brede, Gillian Cooper, Helena B.S.M. Côrte-Real, Peter de Knijff, Ronny Decorte, Yuri E. Dubrova, Oleg Evgrafov, Anja Gilissen, Sanja Glisic, Mukaddes Gölge, Emmeline W. Hill, Anna Jeziorowska, Luba Kalaydjieva, Manfred Kayser, Toomas Kivisild, Sergey A. Kravchenko, Astrida Krumina, Vaidutis Kučinskas, João Lavinha, Ludmila A. Livshits, Patrizia Malaspina, Syrrou Maria, Ken McElreavey, Thomas A. Meitinger, Aavo-Valdur Mikelsaar, R. John Mitchell, Khedoudja Nafa, Jayne Nicholson, Søren Nørby, Arpita Pandya, Jüri Parik, Philippos C. Patsalis, Luísa Pereira, Borut Peterlin, Gerli Pielberg, Maria João Prata, Carlo Previderé, Lutz Roewer, Siiri Rootsi, D.C. Rubinsztein, Juliette Saillard, Fabrício R. Santos, Gheorghe Stefanescu, Bryan C. Sykes, Aslihan Tolun, Richard Villems, Chris Tyler-Smith and Mark A. Jobling Abstract Clinal patterns of autosomal genetic diversity within Europe have been interpreted in previous studies in terms of a Neolithic demic diffusion model for the spread of agriculture; in contrast, studies using mtDNA have traced many founding lineages to the Paleolithic and have not shown strongly clinal variation. We have used 11 human Y-chromosomal biallelic polymorphisms, defining 10 haplogroups, to analyze a sample of 3,616 Y chromosomes belonging to 47 European and circum-European populations. Patterns of geographic differentiation are highly nonrandom, and, when they are assessed using spatial autocorrelation analysis, they show significant clines for five of six haplogroups analyzed. Clines for two haplogroups, representing 45% of the chromosomes, are continentwide and consistent with the demic diffusion hypothesis. Clines for three other haplogroups each have different foci and are more regionally restricted and are likely to reflect distinct population movements, including one from north of the Black Sea. Principal-components analysis suggests that populations are related primarily on the basis of geography, rather than on the basis of linguistic affinity. This is confirmed in Mantel tests, which show a strong and highly significant partial correlation between genetics and geography but a low, nonsignificant partial correlation between genetics and language. Genetic-barrier analysis also indicates the primacy of geography in the shaping of patterns of variation. These patterns retain a strong signal of expansion from the Near East but also suggest that the demographic history of Europe has been complex and influenced by other major population movements, as well as by linguistic and geographic heterogeneities and the effects of drift. Abstract | | |
| Geographic Patterns of mtDNA Diversity in Europe The American Journal of Human Genetics, Volume 66, Issue 1, 1 January 2000, Pages 262-278 Lucia Simoni, Francesc Calafell, Davide Pettener, Jaume Bertranpetit and Guido Barbujani Abstract Summary:
Genetic diversity in Europe has been interpreted as a reflection of phenomena occurring during the Paleolithic (∼45,000 years before the present [BP]), Mesolithic (∼18,000 years BP), and Neolithic (∼10,000 years BP) periods. A crucial role of the Neolithic demographic transition is supported by the analysis of most nuclear loci, but the interpretation of mtDNA evidence is controversial. More than 2,600 sequences of the first hypervariable mitochondrial control region were analyzed for geographic patterns in samples from Europe, the Near East, and the Caucasus. Two autocorrelation statistics were used, one based on allele-frequency differences between samples and the other based on both sequence and frequency differences between alleles. In the global analysis, limited geographic patterning was observed, which could largely be attributed to a marked difference between the Saami and all other populations. The distribution of the zones of highest mitochondrial variation (genetic boundaries) confirmed that the Saami are sharply differentiated from an otherwise rather homogeneous set of European samples. However, an area of significant clinal variation was identified around the Mediterranean Sea (and not in the north), even though the differences between northern and southern populations were insignificant. Both a Paleolithic expansion and the Neolithic demic diffusion of farmers could have determined a longitudinal cline of mtDNA diversity. However, additional phenomena must be considered in both models, to account both for the north-south differences and for the greater geographic scope of clinal patterns at nuclear loci. Conversely, two predicted consequences of models of Mesolithic reexpansion from glacial refugia were not observed in the present study. Abstract | | |
| Tracing European Founder Lineages in the Near Eastern mtDNA Pool The American Journal of Human Genetics, Volume 67, Issue 5, 1 November 2000, Pages 1251-1276 Martin Richards, Vincent Macaulay, Eileen Hickey, Emilce Vega, Bryan Sykes, Valentina Guida, Chiara Rengo, Daniele Sellitto, Fulvio Cruciani, Toomas Kivisild, Richard Villems, Mark Thomas, Serge Rychkov, Oksana Rychkov, Yuri Rychkov, Mukaddes Gölge, Dimitar Dimitrov, Emmeline Hill, Dan Bradley, Valentino Romano, Francesco Calì, Giuseppe Vona, Andrew Demaine, Surinder Papiha, Costas Triantaphyllidis, Gheorghe Stefanescu, Jiři Hatina, Michele Belledi, Anna Di Rienzo, Andrea Novelletto, Ariella Oppenheim, Søren Nørby, Nadia Al-Zaheri, Silvana Santachiara-Benerecetti, Rosaria Scozzari, Antonio Torroni and Hans-Jürgen Bandelt Abstract Founder analysis is a method for analysis of nonrecombining DNA sequence data, with the aim of identification and dating of migrations into new territory. The method picks out founder sequence types in potential source populations and dates lineage clusters deriving from them in the settlement zone of interest. Here, using mtDNA, we apply the approach to the colonization of Europe, to estimate the proportion of modern lineages whose ancestors arrived during each major phase of settlement. To estimate the Palaeolithic and Neolithic contributions to European mtDNA diversity more accurately than was previously achievable, we have now extended the Near Eastern, European, and northern-Caucasus databases to 1,234, 2,804, and 208 samples, respectively. Both back-migration into the source population and recurrent mutation in the source and derived populations represent major obstacles to this approach. We have developed phylogenetic criteria to take account of both these factors, and we suggest a way to account for multiple dispersals of common sequence types. We conclude that (i) there has been substantial back-migration into the Near East, (ii) the majority of extant mtDNA lineages entered Europe in several waves during the Upper Palaeolithic, (iii) there was a founder effect or bottleneck associated with the Last Glacial Maximum, 20,000 years ago, from which derives the largest fraction of surviving lineages, and (iv) the immigrant Neolithic component is likely to comprise less than one-quarter of the mtDNA pool of modern Europeans. Abstract | | |