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Katrine Højholt Iversen

Bio: Katrine Højholt Iversen is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Population & Steppe. The author has an hindex of 4, co-authored 6 publications receiving 248 citations. Previous affiliations of Katrine Højholt Iversen include Region Zealand & Technical University of Denmark.

Papers
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Journal ArticleDOI
29 Jun 2018-Science
TL;DR: Analysis of ancient whole-genome sequences from across Inner Asia and Anatolia shows that the Botai people associated with the earliest horse husbandry derived from a hunter-gatherer population deeply diverged from the Yamnaya, and suggests distinct migrations bringing West Eurasian ancestry into South Asia before and after, but not at the time of, YamNaya culture.
Abstract: The Yamnaya expansions from the western steppe into Europe and Asia during the Early Bronze Age (~3000 BCE) are believed to have brought with them Indo-European languages and possibly horse husbandry. We analyze 74 ancient whole-genome sequences from across Inner Asia and Anatolia and show that the Botai people associated with the earliest horse husbandry derived from a hunter-gatherer population deeply diverged from the Yamnaya. Our results also suggest distinct migrations bringing West Eurasian ancestry into South Asia before and after but not at the time of Yamnaya culture. We find no evidence of steppe ancestry in Bronze Age Anatolia from when Indo-European languages are attested there. Thus, in contrast to Europe, Early Bronze Age Yamnaya-related migrations had limited direct genetic impact in Asia.

273 citations

Journal ArticleDOI
Ashot Margaryan1, Ashot Margaryan2, Daniel Lawson3, Martin Sikora2, Fernando Racimo2, Simon Rasmussen2, Ida Moltke2, Lara M. Cassidy4, Emil Jørsboe2, Andres Ingason5, Andres Ingason2, Mikkel Winther Pedersen2, Thorfinn Sand Korneliussen6, Thorfinn Sand Korneliussen2, Helene Wilhelmson7, Magdalena M. Buś8, Peter de Barros Damgaard2, Rui Martiniano9, Gabriel Renaud2, Gabriel Renaud10, Claude Bhérer11, J. Víctor Moreno-Mayar2, Anna K. Fotakis2, Marie Allen8, Raili Allmäe12, Martyna Molak13, Enrico Cappellini2, Gabriele Scorrano2, Hugh McColl2, Alexandra P. Buzhilova14, Allison M. Fox, Anders Albrechtsen2, Berit Schütz, Birgitte Skar15, Caroline Arcini, Ceri Falys, Charlotte Hedenstierna Jonson8, Dariusz Błaszczyk16, Denis Pezhemsky14, Gordon Turner-Walker17, Hildur Gestsdóttir, Inge Lundstrøm2, Ingrid Gustin7, Ingrid Mainland18, Inna Potekhina19, Italo M. Muntoni, Jade Cheng2, Jesper Stenderup2, Jilong Ma2, Julie Gibson18, Jüri Peets12, Jörgen Gustafsson, Katrine Højholt Iversen10, Katrine Højholt Iversen2, Linzi Simpson4, Lisa Strand15, Louise Loe20, Maeve Sikora21, Marek Florek22, Maria Vretemark, Mark Redknap23, Monika Bajka, Tamara Pushkina14, Morten Søvsø, Natalia Grigoreva24, Tom Christensen, Ole Kastholm, Otto Uldum, Pasquale Favia25, Per Holck26, Sabine Sten8, Símun V. Arge, Sturla Ellingvåg2, Vayacheslav Moiseyev24, Wiesław Bogdanowicz13, Yvonne Magnusson, Ludovic Orlando27, Peter Pentz, Mads Dengsø Jessen, Anne Pedersen, Mark Collard28, Daniel G. Bradley4, Marie Louise Jørkov2, Jette Arneborg29, Niels Lynnerup2, Neil Price8, M. Thomas P. Gilbert15, M. Thomas P. Gilbert2, Morten E. Allentoft30, Morten E. Allentoft2, Jan Bill26, Søren M. Sindbæk31, Lotte Hedeager, Kristian Kristiansen32, Rasmus Nielsen33, Rasmus Nielsen2, Thomas Werge, Eske Willerslev 
16 Sep 2020-Nature
TL;DR: It is concluded that the Viking diaspora was characterized by substantial transregional engagement: distinct populations influenced the genomic makeup of different regions of Europe, and Scandinavia experienced increased contact with the rest of the continent.
Abstract: The maritime expansion of Scandinavian populations during the Viking Age (about ad 750–1050) was a far-flung transformation in world history1,2. Here we sequenced the genomes of 442 humans from archaeological sites across Europe and Greenland (to a median depth of about 1×) to understand the global influence of this expansion. We find the Viking period involved gene flow into Scandinavia from the south and east. We observe genetic structure within Scandinavia, with diversity hotspots in the south and restricted gene flow within Scandinavia. We find evidence for a major influx of Danish ancestry into England; a Swedish influx into the Baltic; and Norwegian influx into Ireland, Iceland and Greenland. Additionally, we see substantial ancestry from elsewhere in Europe entering Scandinavia during the Viking Age. Our ancient DNA analysis also revealed that a Viking expedition included close family members. By comparing with modern populations, we find that pigmentation-associated loci have undergone strong population differentiation during the past millennium, and trace positively selected loci—including the lactase-persistence allele of LCT and alleles of ANKA that are associated with the immune response—in detail. We conclude that the Viking diaspora was characterized by substantial transregional engagement: distinct populations influenced the genomic makeup of different regions of Europe, and Scandinavia experienced increased contact with the rest of the continent. Ancient DNA analyses reveal that Viking Age migrations from Scandinavia resulted in differential influxes of ancestry to different parts of Europe, and the increased presence of non-local ancestry within Scandinavia.

95 citations

Journal ArticleDOI
TL;DR: It is proposed that the Maglemose culture in Southern Scandinavia is fundamentally divided into an Early Complex and a Late Complex, and the marked change in bone points coincides with a change in lithic technology.
Abstract: The extensive peat bogs of Southern Scandinavia have yielded rich Mesolithic archaeological assemblages, with one of the most iconic artefacts being the bone point. Although great in number they remain understudied. Here we present a combined investigation of the typology, protein-based species composition, and absolute chronology of Maglemosian bone points. The majority of the bone points are made from cervids and bovines. However, changes both in species composition and barb morphology can be directly linked to a paucity of finds lasting nearly 600 years in Southern Scandinavia around 10,300 cal BP. We hypothesize that this hiatus was climate-driven and forced hunter-gatherers to abandon the lakes. Furthermore, the marked change in bone points coincides with a change in lithic technology. We, therefore, propose that the Maglemose culture in Southern Scandinavia is fundamentally divided into an Early Complex and a Late Complex.

18 citations

Journal ArticleDOI
TL;DR: This study recovered twelve partial ancient T. forsythia genomes and observed a distinct phylogenetic placement of samples, suggesting that the strains present in Pre-Hispanic individuals likely arrived with the first human migrations to the Americas and that new strains were introduced with the arrival of European and African populations in the sixteenth century.
Abstract: The ‘red complex’ is an aggregate of three oral bacteria (Tannerella forsythia, Porphyromonas gingivalis and Treponema denticola) responsible for severe clinical manifestation of periodontal diseas...

16 citations

Journal ArticleDOI
TL;DR: Based on the functional profiles and virulence gene content of the genomes, it is believed that all analysed strains had the ability to become pathogenic.
Abstract: Streptococcus gordonii and Streptococcus sanguinis belong to the Mitis group streptococci, which mostly are commensals in the human oral cavity. Though they are oral commensals, they can escape their niche and cause infective endocarditis, a severe infection with high mortality. Several virulence factors important for the development of infective endocarditis have been described in these two species. However, the background for how the commensal bacteria, in some cases, become pathogenic is still not known. To gain a greater understanding of the mechanisms of the pathogenic potential, we performed a comparative analysis of 38 blood culture strains, S. sanguinis (n = 20) and S. gordonii (n = 18) from patients with verified infective endocarditis, along with 21 publicly available oral isolates from healthy individuals, S. sanguinis (n = 12) and S. gordonii (n = 9). Using whole genome sequencing data of the 59 streptococci genomes, functional profiles were constructed, using protein domain predictions based on the translated genes. These functional profiles were used for clustering, phylogenetics and machine learning. A clear separation could be made between the two species. No clear differences between oral isolates and clinical infective endocarditis isolates were found in any of the 675 translated core-genes. Additionally, random forest-based machine learning and clustering of the pan-genome data as well as amino acid variations in the core-genome could not separate the clinical and oral isolates. A total of 151 different virulence genes was identified in the 59 genomes. Among these homologs of genes important for adhesion and evasion of the immune system were found in all of the strains. Based on the functional profiles and virulence gene content of the genomes, we believe that all analysed strains had the ability to become pathogenic.

7 citations


Cited by
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01 Jun 2012
TL;DR: SPAdes as mentioned in this paper is a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler and on popular assemblers Velvet and SoapDeNovo (for multicell data).
Abstract: The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.

10,124 citations

Iosif Lazaridis1, Iosif Lazaridis2, Nick Patterson2, Alissa Mittnik3, Gabriel Renaud4, Swapan Mallick2, Swapan Mallick1, Karola Kirsanow5, Peter H. Sudmant6, Joshua G. Schraiber7, Joshua G. Schraiber6, Sergi Castellano4, Mark Lipson8, Bonnie Berger2, Bonnie Berger8, Christos Economou9, Ruth Bollongino5, Qiaomei Fu4, Kirsten I. Bos3, Susanne Nordenfelt1, Susanne Nordenfelt2, Heng Li2, Heng Li1, Cesare de Filippo4, Kay Prüfer4, Susanna Sawyer4, Cosimo Posth3, Wolfgang Haak10, Fredrik Hallgren11, Elin Fornander11, Nadin Rohland2, Nadin Rohland1, Dominique Delsate12, Michael Francken3, Jean-Michel Guinet12, Joachim Wahl, George Ayodo, Hamza A. Babiker13, Hamza A. Babiker14, Graciela Bailliet, Elena Balanovska, Oleg Balanovsky, Ramiro Barrantes15, Gabriel Bedoya16, Haim Ben-Ami17, Judit Bene18, Fouad Berrada19, Claudio M. Bravi, Francesca Brisighelli20, George B.J. Busby21, Francesco Calì, Mikhail Churnosov22, David E. C. Cole23, Daniel Corach24, Larissa Damba, George van Driem25, Stanislav Dryomov26, Jean-Michel Dugoujon27, Sardana A. Fedorova28, Irene Gallego Romero29, Marina Gubina, Michael F. Hammer30, Brenna M. Henn31, Tor Hervig32, Ugur Hodoglugil33, Aashish R. Jha29, Sena Karachanak-Yankova34, Rita Khusainova35, Elza Khusnutdinova35, Rick A. Kittles30, Toomas Kivisild36, William Klitz7, Vaidutis Kučinskas37, Alena Kushniarevich38, Leila Laredj39, Sergey Litvinov38, Theologos Loukidis40, Theologos Loukidis41, Robert W. Mahley42, Béla Melegh18, Ene Metspalu43, Julio Molina, Joanna L. Mountain, Klemetti Näkkäläjärvi44, Desislava Nesheva34, Thomas B. Nyambo45, Ludmila P. Osipova, Jüri Parik43, Fedor Platonov28, Olga L. Posukh, Valentino Romano46, Francisco Rothhammer47, Francisco Rothhammer48, Igor Rudan14, Ruslan Ruizbakiev49, Hovhannes Sahakyan38, Hovhannes Sahakyan50, Antti Sajantila51, Antonio Salas52, Elena B. Starikovskaya26, Ayele Tarekegn, Draga Toncheva34, Shahlo Turdikulova49, Ingrida Uktveryte37, Olga Utevska53, René Vasquez54, Mercedes Villena54, Mikhail Voevoda55, Cheryl A. Winkler56, Levon Yepiskoposyan50, Pierre Zalloua1, Pierre Zalloua57, Tatijana Zemunik58, Alan Cooper10, Cristian Capelli21, Mark G. Thomas40, Andres Ruiz-Linares40, Sarah A. Tishkoff59, Lalji Singh60, Kumarasamy Thangaraj61, Richard Villems43, Richard Villems62, Richard Villems38, David Comas63, Rem I. Sukernik26, Mait Metspalu38, Matthias Meyer4, Evan E. Eichler6, Joachim Burger5, Montgomery Slatkin7, Svante Pääbo4, Janet Kelso4, David Reich1, David Reich2, David Reich64, Johannes Krause3, Johannes Krause4 
Harvard University1, Broad Institute2, University of Tübingen3, Max Planck Society4, University of Mainz5, University of Washington6, University of California, Berkeley7, Massachusetts Institute of Technology8, Stockholm University9, University of Adelaide10, The Heritage Foundation11, National Museum of Natural History12, Sultan Qaboos University13, University of Edinburgh14, University of Costa Rica15, University of Antioquia16, Rambam Health Care Campus17, University of Pécs18, Al Akhawayn University19, Catholic University of the Sacred Heart20, University of Oxford21, Belgorod State University22, University of Toronto23, University of Buenos Aires24, University of Bern25, Russian Academy of Sciences26, Paul Sabatier University27, North-Eastern Federal University28, University of Chicago29, University of Arizona30, Stony Brook University31, University of Bergen32, Illumina33, Sofia Medical University34, Bashkir State University35, University of Cambridge36, Vilnius University37, Estonian Biocentre38, University of Strasbourg39, University College London40, Amgen41, Gladstone Institutes42, University of Tartu43, University of Oulu44, Muhimbili University of Health and Allied Sciences45, University of Palermo46, University of Chile47, University of Tarapacá48, Academy of Sciences of Uzbekistan49, Armenian National Academy of Sciences50, University of North Texas51, University of Santiago de Compostela52, University of Kharkiv53, Higher University of San Andrés54, Novosibirsk State University55, Leidos56, Lebanese American University57, University of Split58, University of Pennsylvania59, Banaras Hindu University60, Centre for Cellular and Molecular Biology61, Estonian Academy of Sciences62, Pompeu Fabra University63, Howard Hughes Medical Institute64
01 Sep 2014
TL;DR: The authors showed that most present-day Europeans derive from at least three highly differentiated populations: west European hunter-gatherers, ancient north Eurasians related to Upper Palaeolithic Siberians, who contributed to both Europeans and Near Easterners; and early European farmers, who were mainly of Near Eastern origin but also harboured west European hunters-gatherer related ancestry.
Abstract: We sequenced the genomes of a ∼7,000-year-old farmer from Germany and eight ∼8,000-year-old hunter-gatherers from Luxembourg and Sweden. We analysed these and other ancient genomes with 2,345 contemporary humans to show that most present-day Europeans derive from at least three highly differentiated populations: west European hunter-gatherers, who contributed ancestry to all Europeans but not to Near Easterners; ancient north Eurasians related to Upper Palaeolithic Siberians, who contributed to both Europeans and Near Easterners; and early European farmers, who were mainly of Near Eastern origin but also harboured west European hunter-gatherer related ancestry. We model these populations' deep relationships and show that early European farmers had ∼44% ancestry from a 'basal Eurasian' population that split before the diversification of other non-African lineages.

442 citations

Journal ArticleDOI
Vagheesh M. Narasimhan1, Nick Patterson2, Nick Patterson3, Priya Moorjani4, Nadin Rohland1, Nadin Rohland2, Rebecca Bernardos1, Swapan Mallick1, Swapan Mallick5, Swapan Mallick2, Iosif Lazaridis1, Nathan Nakatsuka6, Nathan Nakatsuka1, Iñigo Olalde1, Mark Lipson1, Alexander M. Kim1, Luca M. Olivieri, Alfredo Coppa7, Massimo Vidale8, James Mallory9, Vyacheslav Moiseyev10, Egor Kitov11, Egor Kitov10, Janet Monge12, Nicole Adamski1, Nicole Adamski5, Neel Alex4, Nasreen Broomandkhoshbacht1, Nasreen Broomandkhoshbacht5, Francesca Candilio13, Kimberly Callan1, Kimberly Callan5, Olivia Cheronet13, Olivia Cheronet14, Brendan J. Culleton15, Matthew Ferry1, Matthew Ferry5, Daniel Fernandes, Suzanne Freilich14, Beatriz Gamarra13, Daniel Gaudio13, Mateja Hajdinjak16, Eadaoin Harney5, Eadaoin Harney1, Thomas K. Harper15, Denise Keating13, Ann Marie Lawson1, Ann Marie Lawson5, Matthew Mah1, Matthew Mah2, Matthew Mah5, Kirsten Mandl14, Megan Michel5, Megan Michel1, Mario Novak13, Jonas Oppenheimer1, Jonas Oppenheimer5, Niraj Rai17, Niraj Rai18, Kendra Sirak1, Kendra Sirak13, Kendra Sirak19, Viviane Slon16, Kristin Stewardson5, Kristin Stewardson1, Fatma Zalzala5, Fatma Zalzala1, Zhao Zhang1, Gaziz Akhatov, Anatoly N. Bagashev, Alessandra Bagnera, Bauryzhan Baitanayev, Julio Bendezu-Sarmiento20, Arman A. Bissembaev, Gian Luca Bonora, T Chargynov21, T. A. Chikisheva10, Petr K. Dashkovskiy22, Anatoly P. Derevianko10, Miroslav Dobeš23, Katerina Douka24, Katerina Douka16, Nadezhda Dubova10, Meiram N. Duisengali, Dmitry Enshin, Andrey Epimakhov25, Alexey Fribus26, Dorian Q. Fuller27, Dorian Q. Fuller28, Alexander Goryachev, Andrey Gromov10, S. P. Grushin22, Bryan Hanks29, Margaret A. Judd29, Erlan Kazizov, Aleksander Khokhlov30, Aleksander P. Krygin, Elena Kupriyanova31, Pavel Kuznetsov30, Donata Luiselli32, Farhod Maksudov33, Aslan M. Mamedov, Talgat B. Mamirov, Christopher Meiklejohn34, Deborah C. Merrett35, Roberto Micheli, Oleg Mochalov30, Samariddin Mustafokulov33, Ayushi Nayak16, Davide Pettener32, Richard Potts36, Dmitry Razhev, Marina Petrovna Rykun37, Stefania Sarno32, Tatyana M. Savenkova, Kulyan Sikhymbaeva, Sergey Mikhailovich Slepchenko, Oroz A. Soltobaev21, Nadezhda Stepanova10, Svetlana V. Svyatko9, Svetlana V. Svyatko10, Kubatbek Tabaldiev, Maria Teschler-Nicola14, Maria Teschler-Nicola38, Alexey A. Tishkin22, Vitaly V. Tkachev, Sergey Vasilyev10, Petr Velemínský39, Dmitriy Voyakin, Antonina Yermolayeva, Muhammad Zahir40, Muhammad Zahir16, Valery S. Zubkov, A. V. Zubova10, Vasant Shinde41, Carles Lalueza-Fox42, Matthias Meyer16, David W. Anthony43, Nicole Boivin16, Kumarasamy Thangaraj18, Douglas J. Kennett44, Douglas J. Kennett15, Michael D. Frachetti45, Ron Pinhasi13, Ron Pinhasi14, David Reich 
06 Sep 2019-Science
TL;DR: It is shown that Steppe ancestry then integrated further south in the first half of the second millennium BCE, contributing up to 30% of the ancestry of modern groups in South Asia, supporting the idea that the archaeologically documented dispersal of domesticates was accompanied by the spread of people from multiple centers of domestication.
Abstract: By sequencing 523 ancient humans, we show that the primary source of ancestry in modern South Asians is a prehistoric genetic gradient between people related to early hunter-gatherers of Iran and Southeast Asia. After the Indus Valley Civilization's decline, its people mixed with individuals in the southeast to form one of the two main ancestral populations of South Asia, whose direct descendants live in southern India. Simultaneously, they mixed with descendants of Steppe pastoralists who, starting around 4000 years ago, spread via Central Asia to form the other main ancestral population. The Steppe ancestry in South Asia has the same profile as that in Bronze Age Eastern Europe, tracking a movement of people that affected both regions and that likely spread the distinctive features shared between Indo-Iranian and Balto-Slavic languages.

354 citations

Journal ArticleDOI
07 Dec 2018-Science
TL;DR: Analysis of the oldest genomes suggests that there was an early split within Beringian populations, giving rise to the Northern and Southern lineages, and that the early population spread widely and rapidly suggests that their access to large portions of the hemisphere was essentially unrestricted, yet there are genomic and archaeological hints of an earlier human presence.
Abstract: Studies of the peopling of the Americas have focused on the timing and number of initial migrations. Less attention has been paid to the subsequent spread of people within the Americas. We sequenced 15 ancient human genomes spanning from Alaska to Patagonia; six are ≥10,000 years old (up to ~18× coverage). All are most closely related to Native Americans, including those from an Ancient Beringian individual and two morphologically distinct "Paleoamericans." We found evidence of rapid dispersal and early diversification that included previously unknown groups as people moved south. This resulted in multiple independent, geographically uneven migrations, including one that provides clues of a Late Pleistocene Australasian genetic signal, as well as a later Mesoamerican-related expansion. These led to complex and dynamic population histories from North to South America.

211 citations

Journal ArticleDOI
13 Jun 2019-Nature
TL;DR: Analysis of 34 newly recovered ancient genomes from northeastern Siberia reveal at least three major migration events in the late Pleistocene population history of the region, including an initial peopling by a previously unknown Palaeolithic population of ‘Ancient North Siberians’ and a Holocene migration of other East Asian-related peoples, which generated the mosaic genetic make-up of contemporary peoples.
Abstract: Northeastern Siberia has been inhabited by humans for more than 40,000 years but its deep population history remains poorly understood. Here we investigate the late Pleistocene population history of northeastern Siberia through analyses of 34 newly recovered ancient genomes that date to between 31,000 and 600 years ago. We document complex population dynamics during this period, including at least three major migration events: an initial peopling by a previously unknown Palaeolithic population of ‘Ancient North Siberians’ who are distantly related to early West Eurasian hunter-gatherers; the arrival of East Asian-related peoples, which gave rise to ‘Ancient Palaeo-Siberians’ who are closely related to contemporary communities from far-northeastern Siberia (such as the Koryaks), as well as Native Americans; and a Holocene migration of other East Asian-related peoples, who we name ‘Neo-Siberians’, and from whom many contemporary Siberians are descended. Each of these population expansions largely replaced the earlier inhabitants, and ultimately generated the mosaic genetic make-up of contemporary peoples who inhabit a vast area across northern Eurasia and the Americas. Analyses of 34 ancient genomes from northeastern Siberia, dating to between 31,000 and 600 years ago, reveal at least three major migration events in the late Pleistocene population history of the region.

211 citations