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      Stable isotope evidence for dietary diversification in the pre-Columbian Amazon

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          Abstract

          Archaeological research is radically transforming the view that the Amazon basin and surrounding areas witnessed limited societal development before European contact. Nevertheless, uncertainty remains on the nature of the subsistence systems and the role that aquatic resources, terrestrial mammalian game, and plants had in supporting population growth, geographic dispersal, cultural adaptations and political complexity during the later stages of the pre-Columbian era. This is exacerbated by the general paucity of archaeological human remains enabling individual dietary reconstructions. Here we use stable carbon and nitrogen isotope analysis of bone collagen to reconstruct the diets of human individuals from São Luís Island (Brazilian Amazon coast) dated between ca. 1800 and 1000 cal BP and associated with distinct ceramic traditions. We expanded our analysis to include previously published data from Maracá and Marajó Island, in the eastern Amazon. Quantitative estimates of the caloric contributions from food groups and their relative nutrients using a Bayesian Mixing Model revealed distinct subsistence strategies, consisting predominantly of plants and terrestrial mammals and variably complemented with aquatic resources. This study offers novel quantitative information on the extent distinct food categories of polyculture agroforestry systems fulfilled the caloric and protein requirements of Late Holocene pre-Columbian populations in the Amazon basin.

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          Preparation and characterization of bone and tooth collagen for isotopic analysis

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            Improved Collagen Extraction by Modified Longin Method

            A re-evaluation of the Longin collagen-extraction method shows that a lower reflux temperature reduces degradation of protein (“collagen”) remnants. This allows additional purification through ultrafiltration to isolate the >30kDalton fraction of the reflux product.
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              Best practices for use of stable isotope mixing models in food-web studies

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                Author and article information

                Contributors
                andrecarlo.colonese@uab.cat
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                6 October 2020
                6 October 2020
                2020
                : 10
                : 16560
                Affiliations
                [1 ]GRID grid.5685.e, ISNI 0000 0004 1936 9668, BioArCh, Department of Archaeology, , University of York, ; York, YO10 5DD UK
                [2 ]GRID grid.7080.f, Department of Prehistory, Institute of Environmental Science and Technology (ICTA), , Universitat Autònoma de Barcelona, ; 08193 Bellaterra, Spain
                [3 ]GRID grid.4830.f, ISNI 0000 0004 0407 1981, Groningen Institute of Archaeology, , University of Groningen, ; Poststraat 6, 9712 ER Groningen, The Netherlands
                [4 ]Instituto Ambiente Humano (IAH), Av. Germano Moreira, 457, Castelo, Batatais, CP 520, São Paulo, CEP 14300-218 Brazil
                [5 ]GRID grid.469873.7, ISNI 0000 0004 4914 1197, Department of Archaeology, , Max Planck Institute for the Science of Human History, ; 07745 Jena, Germany
                [6 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, School of Archaeology, , University of Oxford, ; 1 South Parks Road, Oxford, OX1 3TG UK
                [7 ]GRID grid.10267.32, ISNI 0000 0001 2194 0956, Faculty of Arts, , Masaryk University, ; Arne Nováka 1, 60200 Brno-střed, Czech Republic
                [8 ]GRID grid.411204.2, ISNI 0000 0001 2165 7632, Programa de Pós-graduação Em Cultura E Sociedade, Programa de Pós-graduação Em Desenvolvimento E Meio Ambiente de Ecossistemas Costeiros e, Departamento de Oceanografia E Limnologia, , Universidade Federal Do Maranhão, ; Av. dos Portugueses, 1966 Bacanga, São Luís, CEP 65080-805 Brazil
                Article
                73540
                10.1038/s41598-020-73540-z
                7539003
                31913322
                05caa11d-db24-482b-a5f0-d20e713c2272
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 24 March 2020
                : 15 September 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: 817911
                Award ID: 817911
                Award ID: 817911
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100011264, FP7 People: Marie-Curie Actions;
                Award ID: 273734
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                neuroscience,biomarkers,medical research,neurology,nanoscience and technology
                Uncategorized
                neuroscience, biomarkers, medical research, neurology, nanoscience and technology

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