Eight millennia of continuity of a previously unknown lineage in Argentina
Rothhammer, F. & Dillehay, T. D. The late Pleistocene colonization of South America: an interdisciplinary perspective. Ann. Hum. Genet. 73, 540–549 (2009).
Google Scholar
Reich, D. et al. Reconstructing native American population history. Nature 488, 370–374 (2012).
Google Scholar
Arango-Isaza, E. et al. The genetic history of the Southern Andes from present-day Mapuche ancestry. Curr. Biol. 33, 2602–2615 (2023).
Google Scholar
Luisi, P. et al. Fine-scale genomic analyses of admixed individuals reveal unrecognized genetic ancestry components in Argentina. PLoS ONE 15, e0233808 (2020).
Google Scholar
Lorandi, A. M. El desarrollo cultural prehispánico en Santiago del Estero, Argentina. J. Soc. Am. 65, 63–85 (1978).
Google Scholar
Rex González, A. Dinámica cultural del NO argentino. Evolución e historia en las culturas del NO Argentino. Antiquitas 28/29, 1–15 (1979).
Bonomo, M., Cabanillas, E. & Montero, R. Archaeometallurgy in the Paraná Delta (Argentina): composition, manufacture, and indigenous routes. J. Anthropol. Archaeol. 47, 1–11 (2017).
Google Scholar
Laguens, A. G. El poblamiento inicial del sector austral de las Sierras Pampeanas de Argentina desde la ecología del paisaje. Anal. Arqueol. Etnol. 61/62, 67–106 (2005).
Prates, L., Politis, G. G. & Perez, S. I. Rapid radiation of humans in South America after the last glacial maximum: a radiocarbon-based study. PLoS ONE 15, e0236023 (2020).
Google Scholar
Weitzel, C., Mazzia, N. & Flegenheimer, N. Assessing Fishtail points distribution in the southern Cone. Quat. Int. 473, 161–172 (2018).
Google Scholar
Posth, C. et al. Reconstructing the deep population history of Central and South America. Cell 175, 1185–1197 (2018).
Google Scholar
Iriondo, M., Brunetto, E. & Kröhling, D. Historical climatic extremes as indicators for typical scenarios of Holocene climatic periods in the Pampean plain. Palaeogeogr. Palaeoclimatol. Palaeoecol. 283, 107–119 (2009).
Google Scholar
Barrientos, G. & Perez, S. I. Was there a population replacement during the Late mid-Holocene in the southeastern Pampas of Argentina? Archaeological evidence and Paleoecological basis. Quat. Int. 132, 95–105 (2005).
Google Scholar
Araujo, A. G. D. M., Pilo, L. B., Neves, W. A. & Atui, J. P. V. Human occupation and paleoenvironments in South America: expanding the notions of an “Archaic gap”. Rev. Mus. Arqueol. Etnol. 15/16, 3–35 (2006).
Google Scholar
Hocsman, S. & Babot, M. P. La transición de cazadores-recolectores a sociedades agropastoriles en Antofagasta de la Sierra (Puna de Catamarca, Argentina): perspectivas desde la agencia y las prácticas. Chungara 50, 51–70 (2018).
Korstanje, M. A. et al. (eds) Crónicas Materiales Precolombinas: Arqueología de los Primeros poblados del Noroeste Argentino (Publicaciones de la Sociedad Argentina de Antropología, 2015).
Laguens, A. & Bonnin, M. Sociedades Indígenas de las Sierras Centrales: Arqueología de Córdoba y San Luis 2nd edn (Univ. Nacional de Córdoba, 2023).
Fabra, M. & Gonzalez, C. Oral health, diet and social change in populations of the region of central Argentina during Late Holocene: bioarchaeological and isotopic evidence. Latin Am. Antiq. 30, 818–835 (2019).
Google Scholar
Farberman, J. & Taboada, C. ¿“Lules nómades” y “lules sedentarios”?: Sociedades indígenas, Movilidad y Prácticas de Subsistencia en la Llanura Santiagueña Prehispánica y Colonial (Santiago del Estero, Argentina). Andes 29, 1–24 (2018).
Bonomo, M. et al. Las poblaciones indígenas prehispánicas del río Paraná Inferior y Medio. Rev. Mus. La Plata 4, 585–620 (2019).
Fabra, M. Vivir en los límites del Gran Chaco y la región pampeana: aportes al estudio de las poblaciones de la costa sur de Laguna Mar Chiquita (Córdoba) desde la Arqueología y la Bioantropología. Rev. Mus. La Plata 5, 657–684 (2020).
Lamenza, G. N., Calandra, H. A. & Salceda, S. A. Arqueología de los ríos Pilcomayo, Bermejo y Paraguay. Rev. Mus. La Plata 4, 481–510 (2019).
González, M. I. & Frère, M. M. Río Salado: espacio de interacción de cazadores-recolectores-pescadores (provincia de Buenos Aires, Argentina). Rev. Mus. La Plata 4, 621–642 (2019).
Politis, G. G. & Borrero, L. A. The Archaeology of the Pampas and Patagonia (Cambridge Univ. Press) (2024).
Censabella, M. Las Lenguas Indígenas de la Argentina: Una Mirada Actual (Eudeba, 1999).
Sarasola, C. Nuestros Paisanos Los Indios: Vida, Historia y Destino de las Comunidades Indígenas en la Argentina (Emecé, 1992).
Bonomo, M., Costa Angrizani, R., Apolinaire, E. & Noelli, F. S. A model for the Guaraní expansion in the La Plata Basin and littoral zone of southern Brazil. Quat. Int. 356, 54–73 (2015).
Casamiquela, R. Rectificaciones y Ratificaciones Hacia una Interpretación Definitiva del Panorama Etnológico de la Patagonia y Área Septentrional Adyacente (Instituto de Humanidades, Univ. Nacional del Sur, 1965).
Ferraz, T. et al. Genomic history of coastal societies from eastern South America. Nat. Ecol. Evol. 7, 1315–1330 (2023).
Google Scholar
Moreno-Mayar, J. V. et al. Early human dispersals within the Americas. Science 362, eaav262 (2018).
Google Scholar
Kennett, D. J. et al. South-to-north migration preceded the advent of intensive farming in the Maya region. Nat. Commun. 13, 1530 (2022).
Google Scholar
Nakatsuka, N. et al. Genetic continuity and change among the Indigenous peoples of California. Nature 624, 122–129 (2023).
Google Scholar
Nakatsuka, N. et al. A paleogenomic reconstruction of the deep population history of the Andes. Cell 181, 1131–1145 (2020).
Google Scholar
Nakatsuka, N. et al. Ancient genomes in South Patagonia reveal population movements associated with technological shifts and geography. Nat. Commun. 11, 3868 (2020).
Google Scholar
Lamenza, G. N. Utilización del análisis multivariante para la sistematización del componente alfarero del Chaco prehispánico. Arqueol. Iberoam. 28, 52–61 (2015).
García, A. et al. Ancient and modern mitogenomes from Central Argentina: new insights into population continuity, temporal depth and migration in South America. Hum. Mol. Genet. 30, 1200–1217 (2021).
Google Scholar
Nores, R., Tavella, P., Fabra, M. & Demarchi, D. Ancient DNA analysis reveals temporal and geographical patterns of mitochondrial diversity in pre-Hispanic populations from Central Argentina. Am. J. Hum. Biol. 34, e23733 (2022).
Google Scholar
Núñez, L. & Dillehay, T. D. Movilidad Giratoria, Armonía Social y Desarrollo en los Andes Meridionales: Patrones de Tráfico e Interacción Económica (Univ. Católica del Norte, 1995).
Salceda, S. A. & Raffino, R. A. in El Shincal de Quimivil (ed. Rafino, R.) 165–177 (Sarquis, 2004).
Crouzeilles, A. L. D. Correlaciones entre la alfarería indígena encontrada en la región de Santa Fe y la de la provincia de Santiago del Estero. An. Soc. Cient. Argent. CXXVIII, 196–211 (1939).
Cornero, S. & Green, A. Los indígenas Corondas del Litoral Bajo Paranaense y su Señor. Un caso de liderazgo en el siglo XVI. Rev. Soc. Paisajes Aridos Semiaridos 4, 10–55 (2022).
Politis, G. & Bonomo, M. La entidad arqueológica Goya-Malabrigo (Ríos Paraná y Uruguay) y su filiación Arawak. Rev. Arqueol. 25, 10–46 (2012).
Google Scholar
Hornborg, A. & Hill, J. D. in Ethnicity in Ancient Amazonia: Reconstructing Past Identities from Archaeology, Linguistics, and Ethnohistory (eds Hornborg, A. & Hill, J. D.) 1–27 (Univ. Press of Colorado, 2011).
Roca-Rada, X. et al. Ancient mitochondrial genomes from the Argentinian Pampas inform the early peopling of the Southern Cone of South America. iScience 24, 102553 (2021).
Google Scholar
Motti, J. M. B. et al. Ancient mitogenomes from the Southern Pampas of Argentina reflect local differentiation and limited extra-regional linkages after rapid initial colonization. Am. J. Biol. Anthropol. 181, 216–230 (2023).
Google Scholar
Martínez, G. et al. Radiocarbon trends in the Pampean region (Argentina). Biases and demographic patterns during the final Late Pleistocene and Holocene. Quat. Int. 356, 89–110 (2015).
Google Scholar
Heider, G. La gestión de recursos líticos en el Norte de Pampa Seca. Rel. Soc. Argent. Antropol. XLI, 375–396 (2016).
Ringbauer, H., Steinrücken, M., Fehren-Schmitz, L. & Reich, D. Increased rate of close-kin unions in the central Andes in the half millennium before European contact. Curr. Biol. 30, R980–R981 (2020).
Google Scholar
Hornborg, A. Theorizing ethnolinguistic diversity under globalization: beyond biocultural analogies. Globalizations 21, 990–1008 (2024).
Google Scholar
Lamenza, G. N. El Hombre y el Ambiente en el Holoceno Tardío del Chaco Meridional 183 (Univ. Nacional de Catamarca, Facultad de Ciencias Exactas y Naturales, 2013).
Fu, Q. et al. An early modern human from Romania with a recent Neanderthal ancestor. Nature 524, 216–219 (2015).
Google Scholar
Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499–503 (2015).
Google Scholar
Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015).
Google Scholar
Rohland, N. et al. Three assays for in-solution enrichment of ancient human DNA at more than a million SNPs. Genome Res. 32, 2068–2078 (2022).
Google Scholar
Barquera, R. et al. Ancient genomes reveal insights into ritual life at Chichén Itzá. Nature 630, 912–919 (2024).
Google Scholar
Capodiferro, M. R. et al. Archaeogenomic distinctiveness of the Isthmo-Colombian area. Cell 184, 1706–1723 (2021).
Google Scholar
De la Fuente, C. et al. Genomic insights into the origin and diversification of late maritime hunter-gatherers from the Chilean Patagonia. Proc. Natl Acad. Sci. USA 115, E4006–E4012 (2018).
Google Scholar
Fernandes, D. M. et al. A genetic history of the pre-contact Caribbean. Nature 590, 103–110 (2021).
Google Scholar
Flegontov, P. et al. Palaeo-Eskimo genetic ancestry and the peopling of Chukotka and North America. Nature 570, 236–240 (2019).
Google Scholar
Kennett, D. J. et al. Archaeogenomic evidence reveals prehistoric matrilineal dynasty. Nat. Commun. 8, 14115 (2017).
Google Scholar
Lindo, J. et al. The genomic prehistory of the Indigenous peoples of Uruguay. PNAS Nexus 1, pgac047 (2022).
Google Scholar
Lindo, J. et al. The genetic prehistory of the Andean highlands 7000 years BP though European contact. Sci. Adv. 4, eaau4921 (2018).
Google Scholar
Moreno-Mayar, J. V. et al. Terminal Pleistocene Alaskan genome reveals first founding population of Native Americans. Nature 553, 203–207 (2018).
Google Scholar
Nägele, K. et al. Genomic insights into the early peopling of the Caribbean. Science 369, 456–460 (2020).
Google Scholar
Nieves-Colón, M. A. et al. Ancient DNA reconstructs the genetic legacies of precontact Puerto Rico communities. Mol. Biol. Evol. 37, 611–626 (2019).
Google Scholar
Popović, D. et al. Ancient genomes reveal long-range influence of the pre-Columbian culture and site of Tiwanaku. Sci. Adv. 7, eabg7261 (2021).
Google Scholar
Raghavan, M. et al. The genetic prehistory of the New World Arctic. Science 345, 1255832 (2014).
Google Scholar
Raghavan, M. et al. Genomic evidence for the Pleistocene and recent population history of Native Americans. Science 349, aab3884 (2015).
Google Scholar
Rasmussen, M. et al. The genome of a Late Pleistocene human from a Clovis burial site in western Montana. Nature 506, 225–229 (2014).
Google Scholar
Rasmussen, M. et al. The ancestry and affiliations of Kennewick Man. Nature 523, 455–458 (2015).
Google Scholar
Scheib, C. L. et al. Ancient human parallel lineages within North America contributed to a coastal expansion. Science 360, 1024–1027 (2018).
Google Scholar
Schroeder, H. et al. Origins and genetic legacies of the Caribbean Taino. Proc. Natl Acad. Sci. USA 115, 2341–2346 (2018).
Google Scholar
Sedig, J. et al. High levels of consanguinity in a child from Paquimé, Chihuahua, Mexico. Antiquity 98, 1023–1039 (2024).
Google Scholar
Villa-Islas, V. et al. Demographic history and genetic structure in pre-Hispanic Central Mexico. Science 380, eadd6142 (2023).
Google Scholar
Mallick, S. et al. The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes. Sci. Data 11, 182 (2024).
Google Scholar
Bronk Ramsey, C. Bayesian analysis of radiocarbon dates. Radiocarbon 51, 337–360 (2009).
Google Scholar
Hogg, A. G. et al. SHCal20 Southern Hemisphere calibration, 0-55,000 years cal BP. Radiocarbon 62, 759–778 (2020).
Google Scholar
Dabney, J. et al. Complete mitochondrial genome sequence of a Middle Pleistocene cave bear reconstructed from ultrashort DNA fragments. Proc. Natl Acad. Sci. USA 110, 15758–15763 (2013).
Google Scholar
Korlevic, P. et al. Reducing Microbial and human contamination in dna extractions from ancient bones and teeth. Biotechniques 59, 87–93 (2015).
Google Scholar
Rohland, N., Glocke, I., Aximu-Petri, A. & Meyer, M. Extraction of highly degraded DNA from ancient bones, teeth and sediments for high-throughput sequencing. Nat. Protoc. 13, 2447–2461 (2018).
Google Scholar
Rohland, N., Harney, E., Mallick, S., Nordenfelt, S. & Reich, D. Partial uracil-DNA-glycosylase treatment for screening of ancient DNA. Philos. Trans. R. Soc. B 370, 20130624 (2015).
Google Scholar
Gansauge, M.-T., Aximu-Petri, A., Nagel, S. & Meyer, M. Manual and automated preparation of single-stranded DNA libraries for the sequencing of DNA from ancient biological remains and other sources of highly degraded DNA. Nat. Protoc. 15, 2279–2300 (2020).
Google Scholar
Meyer, M. & Kircher, M. Illumina sequencing library preparation for highly multiplexed target capture and sequencing. Cold Spring Harb. Protoc. 2010, db.prot5448 (2010).
DeAngelis, M. M., Wang, D. G. & Hawkins, T. L. Solid-phase reversible immobilization for the isolation of PCR products. Nucleic Acids Res. 23, 4742–4743 (1995).
Google Scholar
Rohland, N. & Reich, D. Cost-effective, high-throughput DNA sequencing libraries for multiplexed target capture. Genome Res. 22, 939–946 (2012).
Google Scholar
Maricic, T., Whitten, M. & Pääbo, S. Multiplexed DNA sequence capture of mitochondrial genomes using PCR products. PLoS ONE 5, e14004 (2010).
Google Scholar
Davidson, R. et al. Optimised in-solution enrichment of over a million ancient human SNPs. Genome Biol. 26, 190 (2025).
Google Scholar
Auton, A. et al. A global reference for human genetic variation. Nature 526, 68–74 (2015).
Google Scholar
Li, H. & Durbin, R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics 26, 589–595 (2010).
Google Scholar
Fu, Q. et al. A revised timescale for human evolution based on ancient mitochondrial genomes. Curr. Biol. 23, 553–559 (2013).
Google Scholar
Huang, Y. & Ringbauer, H. hapCon: estimating contamination of ancient genomes by copying from reference haplotypes. Bioinformatics 38, 3768–3777 (2022).
Google Scholar
Korneliussen, T. S., Albrechtsen, A. & Nielsen, R. ANGSD: analysis of next generation sequencing data. BMC Bioinform. 15, 356 (2014).
Google Scholar
Patterson, N. et al. Ancient admixture in human history. Genetics 192, 1065–1093 (2012).
Google Scholar
Benjamini, Y. & Yekutieli, D. The control of the false discovery rate in multiple testing under dependency. Ann. Stat. 29, 1165–1188 (2001).
Google Scholar
Skoglund, P. et al. Genetic evidence for two founding populations of the Americas. Nature 525, 104–108 (2015).
Google Scholar
Paradis, E., Claude, J. & Strimmer, K. APE: analyses of phylogenetics and evolution in R language. Bioinformatics 20, 289–290 (2004).
Google Scholar
Shepard, R. N. The analysis of proximities: multidimensional scaling with an unknown distance function. I. Psychometrika 27, 125–140 (1962).
Google Scholar
Kruskal, J. B. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika 29, 1–27 (1964).
Google Scholar
Maier, R. & Patterson, N. admixtools: inferring demographic history from genetic data. R package version 2.0.0. GitHub https://github.com/uqrmaie1/admixtools (2023).
Maier, R. et al. On the limits of fitting complex models of population history to f-statistics. eLife 12, e85492 (2023).
Google Scholar
Patterson, N., Price, A. L. & Reich, D. Population structure and eigenanalysis. PLoS Genet. 2, e190 (2006).
Google Scholar
Virtanen, P. et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat. Methods 17, 261–272 (2020).
Google Scholar
Harris, C. R. et al. Array programming with NumPy. Nature 585, 357–362 (2020).
Google Scholar
Narasimhan, V. M. et al. The formation of human populations in South and Central Asia. Science 365, eaat7487 (2019).
Google Scholar
Pritchard, J. K., Stephens, M. & Donnelly, P. Inference of population structure using multilocus genotype data. Genetics 155, 945–959 (2000).
Google Scholar
Alexander, D. H., Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19, 1655–1664 (2009).
Google Scholar
Lawson, D. J., van Dorp, L. & Falush, D. A tutorial on how not to over-interpret STRUCTURE and ADMIXTURE bar plots. Nat. Commun. 9, 3258 (2018).
Google Scholar
Chang, C. C. et al. Second-generation PLINK: rising to the challenge of larger and richer datasets. GigaScience 4, s13742-015-0047-8 (2015).
Ringbauer, H., Novembre, J. & Steinrücken, M. Parental relatedness through time revealed by runs of homozygosity in ancient DNA. Nat. Commun. 12, 5425 (2021).
Google Scholar
Terpilowski, M. A. scikit-posthocs: pairwise multiple comparison tests in Python. J. Open Source Softw. 4, 1169 (2019).
Google Scholar
R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing https://www.R-project.org/ (2013).
Wickham, H., François, R., Henry, L., Müller, K. & Vaughan, D. dplyr: a grammar of data manipulation. R package version 1.1.4. GitHub https://github.com/tidyverse/dplyr (2023).
Pedersen, T. L. ggforce: accelerating ‘ggplot2’. R package version 0.5.0. GitHub https://github.com/thomasp85/ggforce (2024).
Campitelli, E. ggnewscale: multiple fill and colour scales in ‘ggplot2’. R package version 0.5.0. GitHub https://eliocamp.github.io/ggnewscale/ (2025).
Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2016); https://ggplot2.tidyverse.org.
Dunnington, D. ggspatial: spatial data framework for ggplot2. GitHub https://github.com/paleolimbot/ggspatial (2023).
Xu, S. ggstar: Multiple geometric shape point layer for ‘ggplot2’. R package version 1.0.4.002. GitHub https://github.com/xiangpin/ggstar (2025).
Slowikowski, K. ggrepel: automatically position non-overlapping text labels with ‘ggplot2’. GitHub https://github.com/slowkow/ggrepel (2024).
Hvitfeldt, E. paletteer: comprehensive collection of color palettes. R package version 1.3.0. GitHub https://github.com/EmilHvitfeldt/paletteer (2021).
Hijmans, R. J. raster: geographic data analysis and modeling. R package version 3.6-31. Spatial Data Science https://rspatial.org/raster (2025).
Massicotte, P. & South, A. rnaturalearth: world map data from Natural Earth. R package version 1.0.1.9000. GitHub https://github.com/ropensci/rnaturalearth (2025).
Pebesma, E. Simple features for R: standardized support for spatial vector data. R J. 10, 439–446 (2018).
Google Scholar
Pebesma, E. & Bivand, R. Spatial Data Science: With Applications in R (Chapman and Hall/CRC, 2023); https://r-spatial.org/book/.
Hernangómez, D. Using the tidyverse with terra objects: the tidyterra package. J. Open Source Softw. 8, 5751 (2023).
Google Scholar
Hijmans, R. J. terra: spatial data analysis. R package version 1.8-23. GitHub https://github.com/rspatial/terra (2025).
Alpaslan-Roodenberg, S. et al. Ethics of DNA research on human remains: five globally applicable guidelines. Nature 599, 41–46 (2021).
Google Scholar
Aranda, C., Barrientos, G. & Del Papa, M. C. Código deontológico para el estudio, conservación y gestión de restos humanos de poblaciones del y pasado. Rev. Argent. Antropol. Biol. 16, 111–113 (2014).
Salceda, S. A., Desántolo, B. & Plischuk, M. Espacio de reflexión: el por qué y para quién de la investigación bioantropológica. Rev. Argent. Antropol. Biol. 17, 1–6 (2015).
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