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      A genomic and historical synthesis of plague in 18th century Eurasia

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          Significance

          The spread and evolution of plague have been under debate in the past few years. However, very little is known of the dynamics of the plague pathogen, Yersinia pestis, during the last phase of the Second Plague Pandemic in Europe (18th and 19th century). We present nine ancient Y. pestis genomes from the Second Plague Pandemic. CHE1 is the first Second Plague Pandemic genome from the Caucasus region, an area that houses plague wildlife reservoirs to this day, making it a key strain to help elucidate the origin of Medieval and Early Modern plague. Our study documents the importance of a noneurocentric approach to historical plague dynamics and proposes an origin of plague introductions outside of Europe.

          Abstract

          Plague continued to afflict Europe for more than five centuries after the Black Death. Yet, by the 17th century, the dynamics of plague had changed, leading to its slow decline in Western Europe over the subsequent 200 y, a period for which only one genome was previously available. Using a multidisciplinary approach, combining genomic and historical data, we assembled Y. pestis genomes from nine individuals covering four Eurasian sites and placed them into an historical context within the established phylogeny. CHE1 (Chechnya, Russia, 18th century) is now the latest Second Plague Pandemic genome and the first non-European sample in the post-Black Death lineage. Its placement in the phylogeny and our synthesis point toward the existence of an extra-European reservoir feeding plague into Western Europe in multiple waves. By considering socioeconomic, ecological, and climatic factors we highlight the importance of a noneurocentric approach for the discussion on Second Plague Pandemic dynamics in Europe.

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

              Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                10 November 2020
                26 October 2020
                26 October 2020
                : 117
                : 45
                : 28328-28335
                Affiliations
                [1] aCentre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo , 0316 Oslo, Norway;
                [2] bInstitute of Genomics, University of Tartu , 51010 Tartu, Estonia;
                [3] cCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences , 1430 Ås, Norway;
                [4] dLaboratory of Molecular Archaeo-Anthropology/ancientDNA, School of Biosciences and Veterinary Medicine, University of Camerino , 62032 Camerino, Italy;
                [5] eArkeologerna, National Historical Museums , SE-226 60 Lund, Sweden;
                [6] fDepartment of Archaeology and Ancient History, Lund University , SE-221 00, Lund, Sweden;
                [7] gSchool of Dentistry, University of California Los Angeles , CA 90024;
                [8] hFaculty of Odontology, Malmö University , SE-205 06 Malmö, Sweden;
                [9] iNational Center for Disease Control and Public Health , 0198 Tbilisi, Georgia;
                [10] jAnthropological Studies of the Institute of History and Ethnology, Ivane Javakhishvili Tbilisi State University , 0177 Tbilisi, Georgia;
                [11] kAnthropological Service of Soprintendenza Archeologia Belle Arti e Paesaggio per le province di Frosinone, Latina e Rieti (Lazio), Ministry of Cultural Heritage and Activities , 00192 Rome, Italy;
                [12] lDepartment of Archaeology, University of Foggia , 71122 Foggia, Italy;
                [13] mDepartment of Biomedical and Specialty Surgical Sciences, Faculty of Medicine, Pharmacy and Prevention, University of Ferrara , 44121 Ferrara, Italy
                Author notes

                Contributed by N. C. Stenseth, September 2, 2020 (sent for review May 29, 2020; reviewed by Guido Alfani and Ludovic Orlando)

                Author contributions: M.G. and B.B. designed research; M.G., O.K., and A.N. analyzed the data; M.G., O.K., S.L., and I.M. performed laboratory work; A.N. designed and generated the phylogeny; M.G., O.K., A.N., N.C.S., and B.B. wrote the paper with contributions from S.L., I.M., C.A.A., E.I., R.A.L., G.W., L. Bakanidze, L. Bitadze, M.R., P.Z., M.Z., and D.N.; and S.L., I.M., C.A.A., E.I., R.A.L., G.W., L. Bakanidze, L. Bitadze., M.R., P.Z., M.Z., and D.N. provided archaeological/osteological data and samples.

                Reviewers: G.A., Bocconi University; and L.O., CNRS, Université Paul Sabatier.

                Author information
                http://orcid.org/0000-0002-7235-4604
                http://orcid.org/0000-0001-9304-2493
                http://orcid.org/0000-0002-6078-4041
                http://orcid.org/0000-0003-1920-9931
                http://orcid.org/0000-0002-0682-3871
                http://orcid.org/0000-0001-8601-0215
                http://orcid.org/0000-0001-5923-0431
                http://orcid.org/0000-0002-1591-5399
                http://orcid.org/0000-0002-5433-663X
                Article
                202009677
                10.1073/pnas.2009677117
                7668095
                33106412
                545c1ef4-e8ae-45cc-822b-0bfcbd75a64c
                Copyright © 2020 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 8
                Funding
                Funded by: EC | FP7 | FP7 Ideas: European Research Council (FP7 Ideas) 100011199
                Award ID: 324249
                Award Recipient : Meriam Guellil Award Recipient : Oliver Kersten Award Recipient : Lela Bakanidze Award Recipient : Nils Chr. Stenseth Award Recipient : Barbara Bramanti
                Categories
                Biological Sciences
                Microbiology
                Social Sciences
                Anthropology

                yersinia pestis,ancient dna,adna,pathogen,plague
                yersinia pestis, ancient dna, adna, pathogen, plague

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