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      Tracing the Origin and Spread of Agriculture in Europe

      research-article
      1 , , 2 , 3
      PLoS Biology
      Public Library of Science

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          Abstract

          The origins of early farming and its spread to Europe have been the subject of major interest for some time. The main controversy today is over the nature of the Neolithic transition in Europe: the extent to which the spread was, for the most part, indigenous and animated by imitation (cultural diffusion) or else was driven by an influx of dispersing populations (demic diffusion). We analyze the spatiotemporal dynamics of the transition using radiocarbon dates from 735 early Neolithic sites in Europe, the Near East, and Anatolia. We compute great-circle and shortest-path distances from each site to 35 possible agricultural centers of origin—ten are based on early sites in the Middle East and 25 are hypothetical locations set at 5° latitude/longitude intervals. We perform a linear fit of distance versus age (and vice versa) for each center. For certain centers, high correlation coefficients ( R > 0.8) are obtained. This implies that a steady rate or speed is a good overall approximation for this historical development. The average rate of the Neolithic spread over Europe is 0.6–1.3 km/y (95% confidence interval). This is consistent with the prediction of demic diffusion (0.6–1.1 km/y). An interpolative map of correlation coefficients, obtained by using shortest-path distances, shows that the origins of agriculture were most likely to have occurred in the northern Levantine/Mesopotamian area.

          Abstract

          An analysis of radiocarbon dates from early Neolithic sites reveals that agriculture in Europe most likely originated in the northern Levant and Mesopotamia and spread by population growth and migration, rather than by cultural diffusion.

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          Most cited references56

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          The genetic legacy of Paleolithic Homo sapiens sapiens in extant Europeans: a Y chromosome perspective.

          A genetic perspective of human history in Europe was derived from 22 binary markers of the nonrecombining Y chromosome (NRY). Ten lineages account for >95% of the 1007 European Y chromosomes studied. Geographic distribution and age estimates of alleles are compatible with two Paleolithic and one Neolithic migratory episode that have contributed to the modern European gene pool. A significant correlation between the NRY haplotype data and principal components based on 95 protein markers was observed, indicating the effectiveness of NRY binary polymorphisms in the characterization of human population composition and history.
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            Synthetic maps of human gene frequencies in Europeans.

            Multivarate techniques can be used to condense the information for a large number of loci and alleles into one or a few synthetic variables. The geographic distribution of synthetic variables can be plotted by the same technique used in mapping the gene frequency of a single allele. Synthetic maps were constructed for Europe and the Near East, with the use of principal components to condense the information of 38 independent alleles from ten loci. The first principal component summarizes close to 30% of the total information and shows gradients. Maps thus constructed show clines in remarkable agreement with those expected on the basis of the spread of early farming in Europe, thus supporting the hypothesis that this spread was a demic spread rather than a cultural diffusion of farming technology.
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              Demic expansions and human evolution.

              Geographic expansions are caused by successful innovations, biological or cultural, that favor local growth and movement. They have had a powerful effect in determining the present patterns of human genetic geography. Modern human populations expanded rapidly across the Earth in the last 100,000 years. At the end of the Paleolithic (10,000 years ago) only a few islands and other areas were unoccupied. The number of inhabitants was then about one thousand times smaller than it is now. Population densities were low throughout the Paleolithic, and random genetic drift was therefore especially effective. Major genetic differences between living human groups must have evolved at that time. Population growths that began afterward, especially with the spread of agriculture, progressively reduced the drift in population and the resulting genetic differentiation. Genetic traces of the expansions that these growths determined are still recognizable.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Biol
                pbio
                PLoS Biology
                Public Library of Science (San Francisco, USA )
                1544-9173
                1545-7885
                December 2005
                29 November 2005
                : 3
                : 12
                : e410
                Affiliations
                [1] 1School of Human and Life Sciences, Whitelands College, Roehampton University, London, United Kingdom,
                [2] 2Departament de Fisica, E.P.S. P-II, Universitat de Girona, Campus de Montilivi, Catalonia, Spain,
                [3] 3Department of Classics, Colgate University, Hamilton, New York, United States of America
                The Wellcome Trust Sanger Institute United Kingdom
                Article
                10.1371/journal.pbio.0030410
                1287502
                16292981
                0e2bd2a6-77a3-4406-b5fe-19df80baae93
                Copyright: © 2005 Pinhasi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 5 April 2005
                : 29 September 2005
                Categories
                Research Article
                Genetics/Genomics/Gene Therapy
                Other
                Statistics
                Homo (Human)

                Life sciences
                Life sciences

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