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Coppola Bove L, Kirkpatrick CL, Vigil-Escalera Guirado A, Botella López MC, Bos KI. A morphological and molecular approach to investigating infectious disease in early medieval Iberia: The necropolis of La Olmeda (Palencia, Spain). AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2024:e24994. [PMID: 38963678 DOI: 10.1002/ajpa.24994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 04/30/2024] [Accepted: 06/19/2024] [Indexed: 07/05/2024]
Abstract
OBJECTIVE Here we investigate infectious diseases that potentially contribute to osteological lesions in individuals from the early medieval necropolis of La Olmeda (6th-11th c. CE) in North Iberia. MATERIALS AND METHODS We studied a minimum number of 268 individuals (33 adult females; 38 adult males, 77 unknown/indeterminate sex; and 120 non-adults), including articulated and commingled remains. Individuals with differential diagnoses suggesting chronic systemic infectious diseases were sampled and bioinformatically screened for ancient pathogen DNA. RESULTS Five non-adults (and no adults) presented skeletal evidence of chronic systemic infectious disease (1.87% of the population; 4.67% of non-adults). The preferred diagnoses for these individuals included tuberculosis, brucellosis, and malaria. Ancient DNA fragments assigned to the malaria-causing pathogen, Plasmodium spp., were identified in three of the five individuals. Observed pathology includes lesions generally consistent with malaria; however, additional lesions in two of the individuals may represent hitherto unknown variation in the skeletal manifestation of this disease or co-infection with tuberculosis or brucellosis. Additionally, spondylolysis was observed in one individual with skeletal lesions suggestive of infectious disease. CONCLUSIONS This study sheds light on the pathological landscape in Iberia during a time of great social, demographic, and environmental change. Genetic evidence challenges the hypothesis that malaria was absent from early medieval Iberia and demonstrates the value of combining osteological and archaeogenetic methods. Additionally, all of the preferred infectious diagnoses for the individuals included in this study (malaria, tuberculosis, and brucellosis) could have contributed to the febrile cases described in historical sources from this time.
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Affiliation(s)
- L Coppola Bove
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Legal Medicine, Toxicology and Physical Anthropology, Faculty of Medicine, University of Granada, Granada, Spain
| | - C L Kirkpatrick
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Anthropology, University of Western Ontario, London, Canada
| | - A Vigil-Escalera Guirado
- Department of Humanities: History, Geography and Art, University Carlos III de Madrid, Madrid, Spain
| | - M C Botella López
- Department of Legal Medicine, Toxicology and Physical Anthropology, Faculty of Medicine, University of Granada, Granada, Spain
| | - K I Bos
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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Wang YZ, Zhao W, Moorjani P, Gross AL, Zhou X, Dey AB, Lee J, Smith JA, Kardia SLR. Effect of apolipoprotein E ε4 and its modification by sociodemographic characteristics on cognitive measures in South Asians from LASI-DAD. Alzheimers Dement 2024; 20:4854-4867. [PMID: 38889280 PMCID: PMC11247697 DOI: 10.1002/alz.14052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 05/13/2024] [Accepted: 05/15/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND We investigated the effects of apolipoprotein E (APOE) ε4 and its interactions with sociodemographic characteristics on cognitive measures in South Asians from the Diagnostic Assessment of Dementia for the Longitudinal Aging Study of India (LASI-DAD). METHODS Linear regression was used to assess the association between APOE ε4 and global- and domain-specific cognitive function in 2563 participants (mean age 69.6 ± 7.3 years; 53% female). Effect modification by age, sex, and education were explored using interaction terms and subgroup analyses. RESULTS APOE ε4 was inversely associated with most cognitive measures (p < 0.05). This association was stronger with advancing age for the Hindi Mental State Examination (HMSE) score (βε4×age = -0.44, p = 0.03), orientation (βε4×age = -0.07, p = 0.01), and language/fluency (βε4×age = -0.07, p = 0.01), as well as in females for memory (βε4×male = 0.17, p = 0.02) and language/fluency (βε4×male = 0.12, p = 0.03). DISCUSSION APOE ε4 is associated with lower cognitive function in South Asians from India, with a more pronounced impact observed in females and older individuals. HIGHLIGHTS APOE ε4 carriers had lower global and domain-specific cognitive performance. Females and older individuals may be more susceptible to ε4 effects. For most cognitive measures, there was no interaction between ε4 and education.
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Affiliation(s)
- Yi Zhe Wang
- Department of EpidemiologySchool of Public HealthUniversity of MichiganAnn ArborMichiganUSA
| | - Wei Zhao
- Department of EpidemiologySchool of Public HealthUniversity of MichiganAnn ArborMichiganUSA
- Survey Research CenterInstitute for Social ResearchUniversity of MichiganAnn ArborMichiganUSA
| | - Priya Moorjani
- Department of Molecular and Cell BiologyUniversity of CaliforniaBerkeleyCaliforniaUSA
- Center for Computational BiologyUniversity of CaliforniaBerkeleyCaliforniaUSA
| | - Alden L. Gross
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Xiang Zhou
- Department of BiostatisticsSchool of Public HealthUniversity of MichiganAnn ArborMichiganUSA
| | - Aparajit B. Dey
- Department of Geriatric MedicineAll India Institute of Medical Sciences, Ansari NagarNew DelhiIndia
| | - Jinkook Lee
- Department of Economics and Center for Social ResearchUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Jennifer A. Smith
- Department of EpidemiologySchool of Public HealthUniversity of MichiganAnn ArborMichiganUSA
- Survey Research CenterInstitute for Social ResearchUniversity of MichiganAnn ArborMichiganUSA
| | - Sharon L. R. Kardia
- Department of EpidemiologySchool of Public HealthUniversity of MichiganAnn ArborMichiganUSA
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3
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Michel M, Skourtanioti E, Pierini F, Guevara EK, Mötsch A, Kocher A, Barquera R, Bianco RA, Carlhoff S, Coppola Bove L, Freilich S, Giffin K, Hermes T, Hiß A, Knolle F, Nelson EA, Neumann GU, Papac L, Penske S, Rohrlach AB, Salem N, Semerau L, Villalba-Mouco V, Abadie I, Aldenderfer M, Beckett JF, Brown M, Campus FGR, Chenghwa T, Cruz Berrocal M, Damašek L, Duffett Carlson KS, Durand R, Ernée M, Fântăneanu C, Frenzel H, García Atiénzar G, Guillén S, Hsieh E, Karwowski M, Kelvin D, Kelvin N, Khokhlov A, Kinaston RL, Korolev A, Krettek KL, Küßner M, Lai L, Look C, Majander K, Mandl K, Mazzarello V, McCormick M, de Miguel Ibáñez P, Murphy R, Németh RE, Nordqvist K, Novotny F, Obenaus M, Olmo-Enciso L, Onkamo P, Orschiedt J, Patrushev V, Peltola S, Romero A, Rubino S, Sajantila A, Salazar-García DC, Serrano E, Shaydullaev S, Sias E, Šlaus M, Stančo L, Swanston T, Teschler-Nicola M, Valentin F, Van de Vijver K, Varney TL, Vigil-Escalera Guirado A, Waters CK, Weiss-Krejci E, Winter E, Lamnidis TC, Prüfer K, Nägele K, Spyrou M, Schiffels S, Stockhammer PW, Haak W, Posth C, Warinner C, Bos KI, Herbig A, Krause J. Ancient Plasmodium genomes shed light on the history of human malaria. Nature 2024; 631:125-133. [PMID: 38867050 PMCID: PMC11222158 DOI: 10.1038/s41586-024-07546-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 05/09/2024] [Indexed: 06/14/2024]
Abstract
Malaria-causing protozoa of the genus Plasmodium have exerted one of the strongest selective pressures on the human genome, and resistance alleles provide biomolecular footprints that outline the historical reach of these species1. Nevertheless, debate persists over when and how malaria parasites emerged as human pathogens and spread around the globe1,2. To address these questions, we generated high-coverage ancient mitochondrial and nuclear genome-wide data from P. falciparum, P. vivax and P. malariae from 16 countries spanning around 5,500 years of human history. We identified P. vivax and P. falciparum across geographically disparate regions of Eurasia from as early as the fourth and first millennia BCE, respectively; for P. vivax, this evidence pre-dates textual references by several millennia3. Genomic analysis supports distinct disease histories for P. falciparum and P. vivax in the Americas: similarities between now-eliminated European and peri-contact South American strains indicate that European colonizers were the source of American P. vivax, whereas the trans-Atlantic slave trade probably introduced P. falciparum into the Americas. Our data underscore the role of cross-cultural contacts in the dissemination of malaria, laying the biomolecular foundation for future palaeo-epidemiological research into the impact of Plasmodium parasites on human history. Finally, our unexpected discovery of P. falciparum in the high-altitude Himalayas provides a rare case study in which individual mobility can be inferred from infection status, adding to our knowledge of cross-cultural connectivity in the region nearly three millennia ago.
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MESH Headings
- Female
- Humans
- Male
- Altitude
- Americas/epidemiology
- Asia/epidemiology
- Biological Evolution
- Disease Resistance/genetics
- DNA, Ancient/analysis
- Europe/epidemiology
- Genome, Mitochondrial/genetics
- Genome, Protozoan/genetics
- History, Ancient
- Malaria/parasitology
- Malaria/history
- Malaria/transmission
- Malaria/epidemiology
- Malaria, Falciparum/epidemiology
- Malaria, Falciparum/history
- Malaria, Falciparum/parasitology
- Malaria, Falciparum/transmission
- Malaria, Vivax/epidemiology
- Malaria, Vivax/history
- Malaria, Vivax/parasitology
- Malaria, Vivax/transmission
- Plasmodium/genetics
- Plasmodium/classification
- Plasmodium falciparum/genetics
- Plasmodium falciparum/isolation & purification
- Plasmodium malariae/genetics
- Plasmodium malariae/isolation & purification
- Plasmodium vivax/genetics
- Plasmodium vivax/isolation & purification
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Affiliation(s)
- Megan Michel
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean, .
| | - Eirini Skourtanioti
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean
| | - Federica Pierini
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Evelyn K Guevara
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
| | - Angela Mötsch
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean
| | - Arthur Kocher
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Transmission, Infection, Diversification and Evolution Group, Max Planck Institute of Geoanthropology, Jena, Germany
| | - Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Raffaela A Bianco
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean
| | - Selina Carlhoff
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Lorenza Coppola Bove
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean
- Department of Legal Medicine, Toxicology and Physical Anthropology, University of Granada, Granada, Spain
| | - Suzanne Freilich
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Karen Giffin
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Environmental Sciences, University of Basel, Basel, Switzerland
| | - Taylor Hermes
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Anthropology, University of Arkansas, Fayetteville, AR, USA
| | - Alina Hiß
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Florian Knolle
- Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Jena, Germany
| | - Elizabeth A Nelson
- Microbial Palaeogenomics Unit, Department of Genomes and Genetics, Institut Pasteur, Paris, France
| | - Gunnar U Neumann
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean
| | - Luka Papac
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Sandra Penske
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Adam B Rohrlach
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, Australia
- Adelaide Data Science Centre, University of Adelaide, Adelaide, Australia
| | - Nada Salem
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean
| | - Lena Semerau
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Vanessa Villalba-Mouco
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean
- Instituto Universitario de Investigación en Ciencias Ambientales de Aragón, IUCA-Aragosaurus, Universitity of Zaragoza, Zaragoza, Spain
| | - Isabelle Abadie
- Inrap - Institut national de recherches archéologiques préventives, Paris, France
- Centre Michel de Boüard, Centre de recherches archéologiques et historiques anciennes et médiévales, Université de Caen Normandie, Caen, France
| | - Mark Aldenderfer
- Department of Anthropology and Heritage Studies, University of California, Merced, Merced, CA, USA
| | | | - Matthew Brown
- Sociology and Anthropology Department, Farmingdale State College, Farmingdale, NY, USA
| | - Franco G R Campus
- Department of History, Human Sciences, and Education, University of Sassari, Sassari, Italy
| | - Tsang Chenghwa
- Institute of Anthropology, National Tsing Hua University, Hsinchu, Taiwan
| | - María Cruz Berrocal
- Institute of Heritage Sciences (INCIPIT), Spanish National Research Council (CSIC), Santiago de Compostela, Spain
| | - Ladislav Damašek
- Institute of Classical Archaeology, Faculty of Arts, Charles University, Prague, Czech Republic
| | | | - Raphaël Durand
- Service d'archéologie préventive Bourges plus, Bourges, France
- UMR 5199 PACEA, Université de Bordeaux, Pessac Cedex, France
| | - Michal Ernée
- Department of Prehistoric Archaeology, Institute of Archaeology of the Czech Academy of Sciences, Prague, Czech Republic
| | | | - Hannah Frenzel
- Anatomy Institute, University of Leipzig, Leipzig, Germany
| | - Gabriel García Atiénzar
- Instituto Universitario de Investigación en Arqueología y Patrimonio Histórico, Universidad de Alicante, San Vicente del Raspeig (Alicante), Spain
| | | | - Ellen Hsieh
- Institute of Anthropology, National Tsing Hua University, Hsinchu, Taiwan
| | - Maciej Karwowski
- Institut für Urgeschichte und Historische Archäologie, University of Vienna, Vienna, Austria
| | - David Kelvin
- Department of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Nikki Kelvin
- Division of Ancient Pathogens, BioForge Canada Limited, Halifax, Nove Scotia, Canada
| | - Alexander Khokhlov
- Samara State University of Social Sciences and Education, Samara, Russia
| | - Rebecca L Kinaston
- BioArch South, Waitati, New Zealand
- Griffith Centre for Social and Cultural Studies, Griffith University, Nathan, Queensland, Australia
| | - Arkadii Korolev
- Samara State University of Social Sciences and Education, Samara, Russia
| | - Kim-Louise Krettek
- Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany
| | - Mario Küßner
- Thuringian State Office for Heritage Management and Archaeology, Weimar, Germany
| | - Luca Lai
- Department of Anthropology, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Cory Look
- Sociology and Anthropology Department, Farmingdale State College, Farmingdale, NY, USA
| | - Kerttu Majander
- Department of Environmental Science, Integrative Prehistory and Archaeological Science, University of Basel, Basel, Switzerland
| | - Kirsten Mandl
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | | | - Michael McCormick
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean
- Initiative for the Science of the Human Past at Harvard, Department of History, Harvard University, Cambridge, MA, USA
| | - Patxuka de Miguel Ibáñez
- Instituto Universitario de Investigación en Arqueología y Patrimonio Histórico, Universidad de Alicante, San Vicente del Raspeig (Alicante), Spain
- Servicio de Obstetricia, Hospital Virgen de los Lirios-Fisabio, Alcoi, Spain
- Sección de Antropología, Sociedad de Ciencias Aranzadi, Donostia - San Sebastián, Spain
| | - Reg Murphy
- University of Nebraska-Lincoln, Lincoln, NE, USA
| | | | - Kerkko Nordqvist
- Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Friederike Novotny
- Department of Anthropology, Natural History Museum Vienna, Vienna, Austria
| | - Martin Obenaus
- Silva Nortica Archäologische Dienstleistungen, Thunau am Kamp, Austria
| | - Lauro Olmo-Enciso
- Department of History, University of Alcalá, Alcalá de Henares, Spain
| | - Päivi Onkamo
- Department of Biology, University of Turku, Turku, Finland
| | - Jörg Orschiedt
- Landesamt für Denkmalpflege und Archäologie Sachsen-Anhalt, Halle, Germany
- Institut für Prähistorische Archäologie, Freie Universität Berlin, Berlin, Germany
| | - Valerii Patrushev
- Centre of Archaeological and Ethnographical Investigation, Mari State University, Yoshkar-Ola, Russia
| | - Sanni Peltola
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Alejandro Romero
- Instituto Universitario de Investigación en Arqueología y Patrimonio Histórico, Universidad de Alicante, San Vicente del Raspeig (Alicante), Spain
- Departamento de Biotecnología, Universidad de Alicante, San Vicente del Raspeig, Spain
| | - Salvatore Rubino
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Antti Sajantila
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
- Forensic Medicine Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Domingo C Salazar-García
- Departament de Prehistòria, Arqueologia i Història Antiga, Universitat de València, Valencia, Spain
- Department of Geological Sciences, University of Cape Town, Cape Town, South Africa
| | - Elena Serrano
- Instituto Internacional de Investigaciones Prehistóricas, Universidad de Cantabria, Santander, Spain
- TAR Arqueología, Madrid, Spain
| | | | - Emanuela Sias
- Centro Studi sulla Civiltà del Mare, Stintino, Italy
| | - Mario Šlaus
- Anthropological Center, Croatian Academy of Sciences and Arts, Zagreb, Croatia
| | - Ladislav Stančo
- Institute of Classical Archaeology, Faculty of Arts, Charles University, Prague, Czech Republic
| | - Treena Swanston
- Department of Anthropology, Economics and Political Science, MacEwan University, Edmonton, Alberta, Canada
| | - Maria Teschler-Nicola
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Department of Anthropology, Natural History Museum Vienna, Vienna, Austria
| | | | - Katrien Van de Vijver
- Royal Belgian Institute of Natural Sciences, Brussels, Belgium
- Center for Archaeological Sciences, University of Leuven, Leuven, Belgium
- Dienst Archeologie - Stad Mechelen, Mechelen, Belgium
| | - Tamara L Varney
- Department of Anthropology, Lakehead University, Thunder Bay, Ontario, Canada
| | | | - Christopher K Waters
- Heritage Department, National Parks of Antigua and Barbuda, St. Paul's Parish, Antigua and Barbuda
| | - Estella Weiss-Krejci
- Austrian Archaeological Institute, Austrian Academy of Sciences, Vienna, Austria
- Institut für Ur- und Frühgeschichte, Heidelberg University, Heidelberg, Germany
- Department of Social and Cultural Anthropology, University of Vienna, Vienna, Austria
| | - Eduard Winter
- Department of Anthropology, Natural History Museum Vienna, Vienna, Austria
| | - Thiseas C Lamnidis
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Kay Prüfer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Kathrin Nägele
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Maria Spyrou
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Archaeo- and Palaeogenetics, Institute for Archaeological Sciences, Department of Geosciences, University of Tübingen, Tübingen, Germany
| | - Stephan Schiffels
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Philipp W Stockhammer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean
- Institute for Pre- and Protohistoric Archaeology and Archaeology of the Roman Provinces, Ludwig Maximilian University, Munich, Germany
| | - Wolfgang Haak
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Cosimo Posth
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany
- Archaeo- and Palaeogenetics, Institute for Archaeological Sciences, Department of Geosciences, University of Tübingen, Tübingen, Germany
| | - Christina Warinner
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean
- Department of Anthropology, Harvard University, Cambridge, MA, USA
| | - Kirsten I Bos
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Alexander Herbig
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean, .
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Mustafa H, Karasikov M, Mansouri Ghiasi N, Rätsch G, Kahles A. Label-guided seed-chain-extend alignment on annotated De Bruijn graphs. Bioinformatics 2024; 40:i337-i346. [PMID: 38940164 PMCID: PMC11211850 DOI: 10.1093/bioinformatics/btae226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2024] Open
Abstract
MOTIVATION Exponential growth in sequencing databases has motivated scalable De Bruijn graph-based (DBG) indexing for searching these data, using annotations to label nodes with sample IDs. Low-depth sequencing samples correspond to fragmented subgraphs, complicating finding the long contiguous walks required for alignment queries. Aligners that target single-labelled subgraphs reduce alignment lengths due to fragmentation, leading to low recall for long reads. While some (e.g. label-free) aligners partially overcome fragmentation by combining information from multiple samples, biologically irrelevant combinations in such approaches can inflate the search space or reduce accuracy. RESULTS We introduce a new scoring model, 'multi-label alignment' (MLA), for annotated DBGs. MLA leverages two new operations: To promote biologically relevant sample combinations, 'Label Change' incorporates more informative global sample similarity into local scores. To improve connectivity, 'Node Length Change' dynamically adjusts the DBG node length during traversal. Our fast, approximate, yet accurate MLA implementation has two key steps: a single-label seed-chain-extend aligner (SCA) and a multi-label chainer (MLC). SCA uses a traditional scoring model adapting recent chaining improvements to assembly graphs and provides a curated pool of alignments. MLC extracts seed anchors from SCAs alignments, produces multi-label chains using MLA scoring, then finally forms multi-label alignments. We show via substantial improvements in taxonomic classification accuracy that MLA produces biologically relevant alignments, decreasing average weighted UniFrac errors by 63.1%-66.8% and covering 45.5%-47.4% (median) more long-read query characters than state-of-the-art aligners. MLAs runtimes are competitive with label-combining alignment and substantially faster than single-label alignment. AVAILABILITY AND IMPLEMENTATION The data, scripts, and instructions for generating our results are available at https://github.com/ratschlab/mla.
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Affiliation(s)
- Harun Mustafa
- Department of Computer Science, ETH Zurich, Zurich, 8092, Switzerland
- Biomedical Informatics Group, University Hospital Zurich, Zurich, 8091, Switzerland
- Biomedical Informatics, Swiss Institute of Bioinformatics, Zurich, 8092, Switzerland
| | - Mikhail Karasikov
- Department of Computer Science, ETH Zurich, Zurich, 8092, Switzerland
- Biomedical Informatics Group, University Hospital Zurich, Zurich, 8091, Switzerland
- Biomedical Informatics, Swiss Institute of Bioinformatics, Zurich, 8092, Switzerland
| | - Nika Mansouri Ghiasi
- Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, 8092, Switzerland
| | - Gunnar Rätsch
- Department of Computer Science, ETH Zurich, Zurich, 8092, Switzerland
- Biomedical Informatics Group, University Hospital Zurich, Zurich, 8091, Switzerland
- Biomedical Informatics, Swiss Institute of Bioinformatics, Zurich, 8092, Switzerland
- ETH AI Center, Zurich, 8092, Switzerland
- Department of Biology, ETH Zurich, Zurich, 8093, Switzerland
- The LOOP Zurich—Medical Research Center, Zurich, 8044, Switzerland
| | - André Kahles
- Department of Computer Science, ETH Zurich, Zurich, 8092, Switzerland
- Biomedical Informatics Group, University Hospital Zurich, Zurich, 8091, Switzerland
- Biomedical Informatics, Swiss Institute of Bioinformatics, Zurich, 8092, Switzerland
- The LOOP Zurich—Medical Research Center, Zurich, 8044, Switzerland
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5
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Cornetti L, Fields PD, Du Pasquier L, Ebert D. Long-term balancing selection for pathogen resistance maintains trans-species polymorphisms in a planktonic crustacean. Nat Commun 2024; 15:5333. [PMID: 38909039 PMCID: PMC11193740 DOI: 10.1038/s41467-024-49726-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 06/18/2024] [Indexed: 06/24/2024] Open
Abstract
Balancing selection is an evolutionary process that maintains genetic polymorphisms at selected loci and strongly reduces the likelihood of allele fixation. When allelic polymorphisms that predate speciation events are maintained independently in the resulting lineages, a pattern of trans-species polymorphisms may occur. Trans-species polymorphisms have been identified for loci related to mating systems and the MHC, but they are generally rare. Trans-species polymorphisms in disease loci are believed to be a consequence of long-term host-parasite coevolution by balancing selection, the so-called Red Queen dynamics. Here we scan the genomes of three crustaceans with a divergence of over 15 million years and identify 11 genes containing identical-by-descent trans-species polymorphisms with the same polymorphisms in all three species. Four of these genes display molecular footprints of balancing selection and have a function related to immunity. Three of them are located in or close to loci involved in resistance to a virulent bacterial pathogen, Pasteuria, with which the Daphnia host is known to coevolve. This provides rare evidence of trans-species polymorphisms for loci known to be functionally relevant in interactions with a widespread and highly specific parasite. These findings support the theory that specific antagonistic coevolution is able to maintain genetic diversity over millions of years.
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Affiliation(s)
- Luca Cornetti
- Department of Environmental Sciences, Zoology, University of Basel, Basel, Switzerland
- Syngenta Crop Protection AG, Stein, Switzerland
| | - Peter D Fields
- Department of Environmental Sciences, Zoology, University of Basel, Basel, Switzerland
| | - Louis Du Pasquier
- Department of Environmental Sciences, Zoology, University of Basel, Basel, Switzerland
| | - Dieter Ebert
- Department of Environmental Sciences, Zoology, University of Basel, Basel, Switzerland.
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6
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Krishna Murthy SB, Yang S, Bheda S, Tomar N, Li H, Yaghoobi A, Khan A, Kiryluk K, Motelow JE, Ren N, Gharavi AG, Milo Rasouly H. Assisting the analysis of insertions and deletions using regional allele frequencies. Funct Integr Genomics 2024; 24:104. [PMID: 38764005 DOI: 10.1007/s10142-024-01358-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/02/2024] [Accepted: 04/12/2024] [Indexed: 05/21/2024]
Abstract
Accurate estimation of population allele frequency (AF) is crucial for gene discovery and genetic diagnostics. However, determining AF for frameshift-inducing small insertions and deletions (indels) faces challenges due to discrepancies in mapping and variant calling methods. Here, we propose an innovative approach to assess indel AF. We developed CRAFTS-indels (Calculating Regional Allele Frequency Targeting Small indels), an algorithm that combines AF of distinct indels within a given region and provides "regional AF" (rAF). We tested and validated CRAFTS-indels using three independent datasets: gnomAD v2 (n=125,748 samples), an internal dataset (IGM; n=39,367), and the UK BioBank (UKBB; n=469,835). By comparing rAF against standard AF, we identified rare indels with rAF exceeding standard AF (sAF≤10-4 and rAF>10-4) as "rAF-hi" indels. Notably, a high percentage of rare indels were "rAF-hi", with a higher proportion in gnomAD v2 (11-20%) and IGM (11-22%) compared to the UKBB (5-9% depending on the CRAFTS-indels' parameters). Analysis of the overlap of regions based on their rAF with low complexity regions and with ClinVar classification supported the pertinence of rAF. Using the internal dataset, we illustrated the utility of CRAFTS-indel in the analysis of de novo variants and the potential negative impact of rAF-hi indels in gene discovery. In summary, annotation of indels with cohort specific rAF can be used to handle some of the limitations of current annotation pipelines and facilitate detection of novel gene disease associations. CRAFTS-indels offers a user-friendly approach to providing rAF annotation. It can be integrated into public databases such as gnomAD, UKBB and used by ClinVar to revise indel classifications.
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Affiliation(s)
- Sarath Babu Krishna Murthy
- Center for Precision Genetics and Genomics, Department of Medicine, Columbia University, New York, NY, USA
| | - Sandy Yang
- Center for Precision Genetics and Genomics, Department of Medicine, Columbia University, New York, NY, USA
| | - Shiraz Bheda
- Center for Precision Genetics and Genomics, Department of Medicine, Columbia University, New York, NY, USA
| | - Nikita Tomar
- Center for Precision Genetics and Genomics, Department of Medicine, Columbia University, New York, NY, USA
| | - Haiyue Li
- Center for Precision Genetics and Genomics, Department of Medicine, Columbia University, New York, NY, USA
| | - Amir Yaghoobi
- Center for Precision Genetics and Genomics, Department of Medicine, Columbia University, New York, NY, USA
| | - Atlas Khan
- Division of Nephrology, Department of Medicine, Columbia University, New York, NY, USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Columbia University, New York, NY, USA
| | - Joshua E Motelow
- Division of Critical Care and Hospital Medicine, Department of Pediatrics, Columbia University Irving Medical Center, New York-Presbyterian Morgan Stanley Children's Hospital, New York, New York, USA
| | - Nick Ren
- Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - Ali G Gharavi
- Center for Precision Genetics and Genomics, Department of Medicine, Columbia University, New York, NY, USA
- Division of Nephrology, Department of Medicine, Columbia University, New York, NY, USA
| | - Hila Milo Rasouly
- Center for Precision Genetics and Genomics, Department of Medicine, Columbia University, New York, NY, USA.
- Division of Nephrology, Department of Medicine, Columbia University, New York, NY, USA.
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7
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Iasi LNM, Chintalapati M, Skov L, Mesa AB, Hajdinjak M, Peter BM, Moorjani P. Neandertal ancestry through time: Insights from genomes of ancient and present-day humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.13.593955. [PMID: 38798350 PMCID: PMC11118355 DOI: 10.1101/2024.05.13.593955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Gene flow from Neandertals has shaped the landscape of genetic and phenotypic variation in modern humans. We identify the location and size of introgressed Neandertal ancestry segments in more than 300 genomes spanning the last 50,000 years. We study how Neandertal ancestry is shared among individuals to infer the time and duration of the Neandertal gene flow. We find the correlation of Neandertal segment locations across individuals and their divergence to sequenced Neandertals, both support a model of single major Neandertal gene flow. Our catalog of introgressed segments through time confirms that most natural selection-positive and negative-on Neandertal ancestry variants occurred immediately after the gene flow, and provides new insights into how the contact with Neandertals shaped human origins and adaptation.
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Affiliation(s)
- Leonardo N. M. Iasi
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
| | - Manjusha Chintalapati
- Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA
| | - Laurits Skov
- Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA
| | - Alba Bossoms Mesa
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
| | - Mateja Hajdinjak
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
- The Francis Crick Institute; London, NW1 1AT, UK
| | - Benjamin M. Peter
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
- Department of Biology, University of Rochester; Rochester NY, 14620,USA
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA
- Center for Computational Biology, University of California Berkeley; Berkeley, CA 94720, USA
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8
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Song L, Langmead B. Centrifuger: lossless compression of microbial genomes for efficient and accurate metagenomic sequence classification. Genome Biol 2024; 25:106. [PMID: 38664753 PMCID: PMC11046777 DOI: 10.1186/s13059-024-03244-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Centrifuger is an efficient taxonomic classification method that compares sequencing reads against a microbial genome database. In Centrifuger, the Burrows-Wheeler transformed genome sequences are losslessly compressed using a novel scheme called run-block compression. Run-block compression achieves sublinear space complexity and is effective at compressing diverse microbial databases like RefSeq while supporting fast rank queries. Combining this compression method with other strategies for compacting the Ferragina-Manzini (FM) index, Centrifuger reduces the memory footprint by half compared to other FM-index-based approaches. Furthermore, the lossless compression and the unconstrained match length help Centrifuger achieve greater accuracy than competing methods at lower taxonomic levels.
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Affiliation(s)
- Li Song
- Department of Biomedical Data Science, Dartmouth College, Hanover, NH, USA.
- Department of Computer Science, Dartmouth College, Hanover, NH, USA.
- Department of Microbiology and Immunology, Dartmouth College, Hanover, NH, USA.
| | - Ben Langmead
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
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9
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Rudenko V, Korotkov E. Study of Dispersed Repeats in the Cyanidioschyzon merolae Genome. Int J Mol Sci 2024; 25:4441. [PMID: 38674025 PMCID: PMC11050394 DOI: 10.3390/ijms25084441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/08/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024] Open
Abstract
In this study, we applied the iterative procedure (IP) method to search for families of highly diverged dispersed repeats in the genome of Cyanidioschyzon merolae, which contains over 16 million bases. The algorithm included the construction of position weight matrices (PWMs) for repeat families and the identification of more dispersed repeats based on the PWMs using dynamic programming. The results showed that the C. merolae genome contained 20 repeat families comprising a total of 33,938 dispersed repeats, which is significantly more than has been previously found using other methods. The repeats varied in length from 108 to 600 bp (522.54 bp in average) and occupied more than 72% of the C. merolae genome, whereas previously identified repeats, including tandem repeats, have been shown to constitute only about 28%. The high genomic content of dispersed repeats and their location in the coding regions suggest a significant role in the regulation of the functional activity of the genome.
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Affiliation(s)
- Valentina Rudenko
- Institute of Bioengineering, Research Center of Biotechnology of the Russian Academy of Sciences, Moscow 119071, Russia;
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10
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Wang J, Suh JM, Woo BJ, Navickas A, Garcia K, Yin K, Fish L, Cavazos T, Hänisch B, Markett D, Yu S, Hirst G, Brown-Swigart L, Esserman LJ, van ‘t Veer LJ, Goodarzi H. Systematic annotation of orphan RNAs reveals blood-accessible molecular barcodes of cancer identity and cancer-emergent oncogenic drivers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.19.585748. [PMID: 38562907 PMCID: PMC10983903 DOI: 10.1101/2024.03.19.585748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
From extrachromosomal DNA to neo-peptides, the broad reprogramming of the cancer genome leads to the emergence of molecules that are specific to the cancer state. We recently described orphan non-coding RNAs (oncRNAs) as a class of cancer-specific small RNAs with the potential to play functional roles in breast cancer progression1. Here, we report a systematic and comprehensive search to identify, annotate, and characterize cancer-emergent oncRNAs across 32 tumor types. We also leverage large-scale in vivo genetic screens in xenografted mice to functionally identify driver oncRNAs in multiple tumor types. We have not only discovered a large repertoire of oncRNAs, but also found that their presence and absence represent a digital molecular barcode that faithfully captures the types and subtypes of cancer. Importantly, we discovered that this molecular barcode is partially accessible from the cell-free space as some oncRNAs are secreted by cancer cells. In a large retrospective study across 192 breast cancer patients, we showed that oncRNAs can be reliably detected in the blood and that changes in the cell-free oncRNA burden captures both short-term and long-term clinical outcomes upon completion of a neoadjuvant chemotherapy regimen. Together, our findings establish oncRNAs as an emergent class of cancer-specific non-coding RNAs with potential roles in tumor progression and clinical utility in liquid biopsies and disease monitoring.
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Affiliation(s)
- Jeffrey Wang
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
- Present address: School of Medicine, University of California, Davis, CA, US
| | - Jung Min Suh
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Brian J Woo
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Albertas Navickas
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
- Present address: Institut Curie, CNRS UMR3348, INSERM U1278, Orsay, France
| | - Kristle Garcia
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Keyi Yin
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Lisa Fish
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Taylor Cavazos
- Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Benjamin Hänisch
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Daniel Markett
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Shaorong Yu
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Gillian Hirst
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Lamorna Brown-Swigart
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Laura J. Esserman
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Laura J. van ‘t Veer
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Hani Goodarzi
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
- Arc Institute, Palo Alto, CA 94304, USA
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11
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Chorlton SD. Ten common issues with reference sequence databases and how to mitigate them. FRONTIERS IN BIOINFORMATICS 2024; 4:1278228. [PMID: 38560517 PMCID: PMC10978663 DOI: 10.3389/fbinf.2024.1278228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 03/05/2024] [Indexed: 04/04/2024] Open
Abstract
Metagenomic sequencing has revolutionized our understanding of microbiology. While metagenomic tools and approaches have been extensively evaluated and benchmarked, far less attention has been given to the reference sequence database used in metagenomic classification. Issues with reference sequence databases are pervasive. Database contamination is the most recognized issue in the literature; however, it remains relatively unmitigated in most analyses. Other common issues with reference sequence databases include taxonomic errors, inappropriate inclusion and exclusion criteria, and sequence content errors. This review covers ten common issues with reference sequence databases and the potential downstream consequences of these issues. Mitigation measures are discussed for each issue, including bioinformatic tools and database curation strategies. Together, these strategies present a path towards more accurate, reproducible and translatable metagenomic sequencing.
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12
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Astashyn A, Tvedte ES, Sweeney D, Sapojnikov V, Bouk N, Joukov V, Mozes E, Strope PK, Sylla PM, Wagner L, Bidwell SL, Brown LC, Clark K, Davis EW, Smith-White B, Hlavina W, Pruitt KD, Schneider VA, Murphy TD. Rapid and sensitive detection of genome contamination at scale with FCS-GX. Genome Biol 2024; 25:60. [PMID: 38409096 PMCID: PMC10898089 DOI: 10.1186/s13059-024-03198-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 02/15/2024] [Indexed: 02/28/2024] Open
Abstract
Assembled genome sequences are being generated at an exponential rate. Here we present FCS-GX, part of NCBI's Foreign Contamination Screen (FCS) tool suite, optimized to identify and remove contaminant sequences in new genomes. FCS-GX screens most genomes in 0.1-10 min. Testing FCS-GX on artificially fragmented genomes demonstrates high sensitivity and specificity for diverse contaminant species. We used FCS-GX to screen 1.6 million GenBank assemblies and identified 36.8 Gbp of contamination, comprising 0.16% of total bases, with half from 161 assemblies. We updated assemblies in NCBI RefSeq to reduce detected contamination to 0.01% of bases. FCS-GX is available at https://github.com/ncbi/fcs/ or https://doi.org/10.5281/zenodo.10651084 .
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Affiliation(s)
- Alexander Astashyn
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Eric S Tvedte
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Deacon Sweeney
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Victor Sapojnikov
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Nathan Bouk
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Victor Joukov
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Eyal Mozes
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pooja K Strope
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pape M Sylla
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Lukas Wagner
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Shelby L Bidwell
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Larissa C Brown
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Karen Clark
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Emily W Davis
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Brian Smith-White
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Wratko Hlavina
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Kim D Pruitt
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Valerie A Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
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13
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Vancaester E, Blaxter ML. MarkerScan: Separation and assembly of cobionts sequenced alongside target species in biodiversity genomics projects. Wellcome Open Res 2024; 9:33. [PMID: 38617467 PMCID: PMC11016177 DOI: 10.12688/wellcomeopenres.20730.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2023] [Indexed: 04/16/2024] Open
Abstract
Contamination of public databases by mislabelled sequences has been highlighted for many years and the avalanche of novel sequencing data now being deposited has the potential to make databases difficult to use effectively. It is therefore crucial that sequencing projects and database curators perform pre-submission checks to remove obvious contamination and avoid propagating erroneous taxonomic relationships. However, it is important also to recognise that biological contamination of a target sample with unexpected species' DNA can also lead to the discovery of fascinating biological phenomena through the identification of environmental organisms or endosymbionts. Here, we present a novel, integrated method for detection and generation of high-quality genomes of all non-target genomes co-sequenced in eukaryotic genome sequencing projects. After performing taxonomic profiling of an assembly from the raw data, and leveraging the identity of small rRNA sequences discovered therein as markers, a targeted classification approach retrieves and assembles high-quality genomes. The genomes of these cobionts are then not only removed from the target species' genome but also available for further interrogation. Source code is available from https://github.com/CobiontID/MarkerScan. MarkerScan is written in Python and is deployed as a Docker container.
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Affiliation(s)
| | - Mark L. Blaxter
- Tree of Life, Wellcome Sanger Institute, Hinxton, England, UK
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14
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Wilken PM, Lane FA, Steenkamp ET, Wingfield MJ, Wingfield BD. Unidirectional mating-type switching is underpinned by a conserved MAT1 locus architecture. Fungal Genet Biol 2024; 170:103859. [PMID: 38114017 DOI: 10.1016/j.fgb.2023.103859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/11/2023] [Accepted: 12/14/2023] [Indexed: 12/21/2023]
Abstract
Unidirectional mating-type switching is a form of homothallic reproduction known only in a small number of filamentous ascomycetes. Their ascospores can give rise to either self-sterile isolates that require compatible partners for subsequent sexual reproduction, or self-fertile individuals capable of completing this process in isolation. The limited studies previously conducted in these fungi suggest that the differences in mating specificity are determined by the architecture of the MAT1 locus. In self-fertile isolates that have not undergone unidirectional mating-type switching, the locus contains both MAT1-1 and MAT1-2 mating-type genes, typical of primary homothallism. In the self-sterile isolates produced after a switching event, the MAT1-2 genes are lacking from the locus, likely due to a recombination-mediated deletion of the MAT1-2 gene information. To determine whether these arrangements of the MAT1 locus support unidirectional mating-type switching in the Ceratocystidaceae, the largest known fungal assemblage capable of this reproduction strategy, a combination of genetic and genomic approaches were used. The MAT1 locus was annotated in representative species of Ceratocystis, Endoconidiophora, and Davidsoniella. In all cases, MAT1-2 genes interrupted the MAT1-1-1 gene in self-fertile isolates. The MAT1-2 genes were flanked by two copies of a direct repeat that accurately predicted the boundaries of the deletion event that would yield the MAT1 locus of self-sterile isolates. Although the relative position of the MAT1-2 gene region differed among species, it always disrupted the MAT1-1-1 gene and/or its expression in the self-fertile MAT1 locus. Following switching, this gene and/or its expression was restored in the self-sterile arrangement of the locus. This mirrors what has been reported in other species capable of unidirectional mating-type switching, providing the strongest support for a conserved MAT1 locus structure that is associated with this process. This study contributes to our understanding of the evolution of unidirectional mating-type switching.
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Affiliation(s)
- P Markus Wilken
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X20, Pretoria 0028, South Africa.
| | - Frances A Lane
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X20, Pretoria 0028, South Africa
| | - Emma T Steenkamp
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X20, Pretoria 0028, South Africa
| | - Michael J Wingfield
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X20, Pretoria 0028, South Africa
| | - Brenda D Wingfield
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X20, Pretoria 0028, South Africa
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15
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Ryazansky SS, Chen C, Potters M, Naumenko AN, Lukyanchikova V, Masri RA, Brusentsov II, Karagodin DA, Yurchenko AA, Dos Anjos VL, Haba Y, Rose NH, Hoffman J, Guo R, Menna T, Kelley M, Ferrill E, Schultz KE, Qi Y, Sharma A, Deschamps S, Llaca V, Mao C, Murphy TD, Baricheva EM, Emrich S, Fritz ML, Benoit JB, Sharakhov IV, McBride CS, Tu Z, Sharakhova MV. The chromosome-scale genome assembly for the West Nile vector Culex quinquefasciatus uncovers patterns of genome evolution in mosquitoes. BMC Biol 2024; 22:16. [PMID: 38273363 PMCID: PMC10809549 DOI: 10.1186/s12915-024-01825-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 01/11/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Understanding genome organization and evolution is important for species involved in transmission of human diseases, such as mosquitoes. Anophelinae and Culicinae subfamilies of mosquitoes show striking differences in genome sizes, sex chromosome arrangements, behavior, and ability to transmit pathogens. However, the genomic basis of these differences is not fully understood. METHODS In this study, we used a combination of advanced genome technologies such as Oxford Nanopore Technology sequencing, Hi-C scaffolding, Bionano, and cytogenetic mapping to develop an improved chromosome-scale genome assembly for the West Nile vector Culex quinquefasciatus. RESULTS We then used this assembly to annotate odorant receptors, odorant binding proteins, and transposable elements. A genomic region containing male-specific sequences on chromosome 1 and a polymorphic inversion on chromosome 3 were identified in the Cx. quinquefasciatus genome. In addition, the genome of Cx. quinquefasciatus was compared with the genomes of other mosquitoes such as malaria vectors An. coluzzi and An. albimanus, and the vector of arboviruses Ae. aegypti. Our work confirms significant expansion of the two chemosensory gene families in Cx. quinquefasciatus, as well as a significant increase and relocation of the transposable elements in both Cx. quinquefasciatus and Ae. aegypti relative to the Anophelines. Phylogenetic analysis clarifies the divergence time between the mosquito species. Our study provides new insights into chromosomal evolution in mosquitoes and finds that the X chromosome of Anophelinae and the sex-determining chromosome 1 of Culicinae have a significantly higher rate of evolution than autosomes. CONCLUSION The improved Cx. quinquefasciatus genome assembly uncovered new details of mosquito genome evolution and has the potential to speed up the development of novel vector control strategies.
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Affiliation(s)
- Sergei S Ryazansky
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Molecular Genetics of Cell, NRC "Kurchatov Institute", Moscow, Russia
| | - Chujia Chen
- Genetics, Bioinformatics, Computational Biology Program, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Mark Potters
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
| | - Anastasia N Naumenko
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Varvara Lukyanchikova
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Group of Genomic Mechanisms of Development, Institute of Cytology and Genetics, Novosibirsk, Russia
- Laboratory of Structural and Functional Genomics, Novosibirsk State University, Novosibirsk, Russia
| | - Reem A Masri
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Ilya I Brusentsov
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Dmitriy A Karagodin
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Andrey A Yurchenko
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Vitor L Dos Anjos
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Yuki Haba
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Noah H Rose
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Jinna Hoffman
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Rong Guo
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Theresa Menna
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Melissa Kelley
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Emily Ferrill
- County of San Diego Vector Control Program, San Diego, CA, USA
| | - Karen E Schultz
- Mosquito and Vector Management District of Santa Barbara County, Santa Barbara, CA, USA
| | - Yumin Qi
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
| | - Atashi Sharma
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
| | | | | | - Chunhong Mao
- Biocomplexity Institute & Initiative University of Virginia, Charlottesville, VA, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Elina M Baricheva
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Scott Emrich
- Department of Electrical Engineering & Computer Science, the University of Tennessee, Knoxville, TN, USA
| | - Megan L Fritz
- Department of Entomology, University of Maryland, College Park, MD, USA
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Fralin Life Sciences Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Genetics and Cell Biology, Tomsk State University, Tomsk, Russia
| | - Carolyn S McBride
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Zhijian Tu
- Genetics, Bioinformatics, Computational Biology Program, Virginia Polytechnic and State University, Blacksburg, VA, USA
- Department of Biochemistry, Virginia Polytechnic and State University, Blacksburg, USA
- Fralin Life Sciences Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - Maria V Sharakhova
- Department of Entomology, Virginia Polytechnic and State University, Blacksburg, VA, USA.
- Laboratory of Cell Differentiation Mechanisms, Institute of Cytology and Genetics, Novosibirsk, Russia.
- Fralin Life Sciences Institute, Virginia Polytechnic and State University, Blacksburg, VA, USA.
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Kırdök E, Kashuba N, Damlien H, Manninen MA, Nordqvist B, Kjellström A, Jakobsson M, Lindberg AM, Storå J, Persson P, Andersson B, Aravena A, Götherström A. Metagenomic analysis of Mesolithic chewed pitch reveals poor oral health among stone age individuals. Sci Rep 2024; 13:22125. [PMID: 38238372 PMCID: PMC10796427 DOI: 10.1038/s41598-023-48762-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 11/30/2023] [Indexed: 01/22/2024] Open
Abstract
Prehistoric chewed pitch has proven to be a useful source of ancient DNA, both from humans and their microbiomes. Here we present the metagenomic analysis of three pieces of chewed pitch from Huseby Klev, Sweden, that were dated to 9,890-9,540 before present. The metagenomic profile exposes a Mesolithic oral microbiome that includes opportunistic oral pathogens. We compared the data with healthy and dysbiotic microbiome datasets and we identified increased abundance of periodontitis-associated microbes. In addition, trained machine learning models predicted dysbiosis with 70-80% probability. Moreover, we identified DNA sequences from eukaryotic species such as red fox, hazelnut, red deer and apple. Our results indicate a case of poor oral health during the Scandinavian Mesolithic, and show that pitch pieces have the potential to provide information on material use, diet and oral health.
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Affiliation(s)
- Emrah Kırdök
- Department of Biotechnology, Faculty of Science, Mersin University, 33100 Yenişehir, Mersin, Turkey.
| | - Natalija Kashuba
- Department of Archaeology and Ancient History, Uppsala University, Engelska Parken, Thunbergsvägen 3H Box 626, 751 26, Uppsala, Sweden
| | - Hege Damlien
- Museum of Cultural History, University of Oslo, St. Olavs Plass, P.O. Box 6762, NO-0130, Oslo, Norway
| | - Mikael A Manninen
- PAES, Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences and Helsinki Institute of Sustainability Science, University of Helsinki, Viikinkaari 1, P.O. Box 65, Helsinki, Finland
| | - Bengt Nordqvist
- Foundation War-Booty Site Finnestorp, Klarinettvägen 75, 434 75, Kungsbacka, Sweden
| | - Anna Kjellström
- Department of Archaeology and Classical Studies, Osteoarchaeological Research Laboratory, Stockholm University, Stockholm, Sweden
| | - Mattias Jakobsson
- Department of Organismal Biology, Human Evolution, Uppsala University, Evolutionsbiologiskt Centrum EBC Norbyvägen 18 A, Uppsala, Sweden
| | - A Michael Lindberg
- Department of Chemistry and Biomedical Sciences, Faculty of Health and Life Sciences, Linnaeus University, Hus Vita, 44018, Kalmar, Sweden
| | - Jan Storå
- Department of Archaeology and Classical Studies, Osteoarchaeological Research Laboratory, Stockholm University, Stockholm, Sweden
| | - Per Persson
- Museum of Cultural History, University of Oslo, St. Olavs Plass, P.O. Box 6762, NO-0130, Oslo, Norway
| | - Björn Andersson
- Department of Cell and Molecular Biology (CMB), Karolinska Insitutet, P.O. Box 285, 171 77, Stockholm, Sweden
| | - Andrés Aravena
- Department of Molecular Biology and Genetics, Faculty of Science, Istanbul University, Vezneciler, 34134, Istanbul, Turkey
| | - Anders Götherström
- Centre for Palaeogenetics, Svante Arrhenius Väg 20C, 106 91, Stockholm, Sweden
- Department of Archaeology and Classical Studies, Archaeological Research Laboratory, Stockholm University, Stockholm, Sweden
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17
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Abu-Amara H, Zhao W, Li Z, Leung YY, Schellenberg GD, Wang LS, Moorjani P, Dey A, Dey S, Zhou X, Gross AL, Lee J, Kardia SL, Smith JA. Region-based analysis with functional annotation identifies genes associated with cognitive function in South Asians from India. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.18.24301482. [PMID: 38293024 PMCID: PMC10827235 DOI: 10.1101/2024.01.18.24301482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
The prevalence of dementia among South Asians across India is approximately 7.4% in those 60 years and older, yet little is known about genetic risk factors for dementia in this population. Most known risk loci for Alzheimer's disease (AD) have been identified from studies conducted in European Ancestry (EA) but are unknown in South Asians. Using whole-genome sequence data from 2680 participants from the Diagnostic Assessment of Dementia for the Longitudinal Aging Study of India (LASI-DAD), we performed a gene-based analysis of 84 genes previously associated with AD in EA. We investigated associations with the Hindi Mental State Examination (HMSE) score and factor scores for general cognitive function and five cognitive domains. For each gene, we examined missense/loss-of-function (LoF) variants and brain-specific promoter/enhancer variants, separately, both with and without incorporating additional annotation weights (e.g., deleteriousness, conservation scores) using the variant-Set Test for Association using Annotation infoRmation (STAAR). In the missense/LoF analysis without annotation weights and controlling for age, sex, state/territory, and genetic ancestry, three genes had an association with at least one measure of cognitive function (FDR q<0.1). APOE was associated with four measures of cognitive function, PICALM was associated with HMSE score, and TSPOAP1 was associated with executive function. The most strongly associated variants in each gene were rs429358 (APOE ε4), rs779406084 (PICALM), and rs9913145 (TSPOAP1). rs779406084 is a rare missense mutation that is more prevalent in LASI-DAD than in EA (minor allele frequency=0.075% vs. 0.0015%); the other two are common variants. No genes in the brain-specific promoter/enhancer analysis met criteria for significance. Results with and without annotation weights were similar. Missense/LoF variants in some genes previously associated with AD in EA are associated with measures of cognitive function in South Asians from India. Analyzing genome sequence data allows identification of potential novel causal variants enriched in South Asians.
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Affiliation(s)
- Hasan Abu-Amara
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Zheng Li
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Yuk Yee Leung
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, United States of America
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, United States of America
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, United States of America
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California, Berkeley, United States of America
- Center for Computational Biology, University of California, Berkeley, United States of America
| | - A.B. Dey
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sharmitha Dey
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Xiang Zhou
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Jinkook Lee
- Department of Economics, University of Southern California, Los Angeles, California, United States of America
| | - Sharon L.R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, United States of America
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18
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Al-Jawabreh R, Lastik D, McKenzie D, Reynolds K, Suleiman M, Mousley A, Atkinson L, Hunt V. Advancing Strongyloides omics data: bridging the gap with Caenorhabditis elegans. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220437. [PMID: 38008117 PMCID: PMC10676819 DOI: 10.1098/rstb.2022.0437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/31/2023] [Indexed: 11/28/2023] Open
Abstract
Among nematodes, the free-living model organism Caenorhabditis elegans boasts the most advanced portfolio of high-quality omics data. The resources available for parasitic nematodes, including Strongyloides spp., however, are lagging behind. While C. elegans remains the most tractable nematode and has significantly advanced our understanding of many facets of nematode biology, C. elegans is not suitable as a surrogate system for the study of parasitism and it is important that we improve the omics resources available for parasitic nematode species. Here, we review the omics data available for Strongyloides spp. and compare the available resources to those for C. elegans and other parasitic nematodes. The advancements in C. elegans omics offer a blueprint for improving omics-led research in Strongyloides. We suggest areas of priority for future research that will pave the way for expansions in omics resources and technologies. This article is part of the Theo Murphy meeting issue 'Strongyloides: omics to worm-free populations'.
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Affiliation(s)
- Reem Al-Jawabreh
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | - Dominika Lastik
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | | | - Kieran Reynolds
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | - Mona Suleiman
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | | | | | - Vicky Hunt
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
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19
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Hijikata A, Suyama M, Kikugawa S, Matoba R, Naruto T, Enomoto Y, Kurosawa K, Harada N, Yanagi K, Kaname T, Miyako K, Takazawa M, Sasai H, Hosokawa J, Itoga S, Yamaguchi T, Kosho T, Matsubara K, Kuroki Y, Fukami M, Adachi K, Nanba E, Tsuchida N, Uchiyama Y, Matsumoto N, Nishimura K, Ohara O. Exome-wide benchmark of difficult-to-sequence regions using short-read next-generation DNA sequencing. Nucleic Acids Res 2024; 52:114-124. [PMID: 38015437 PMCID: PMC10783491 DOI: 10.1093/nar/gkad1140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 11/03/2023] [Accepted: 11/13/2023] [Indexed: 11/29/2023] Open
Abstract
Next-generation DNA sequencing (NGS) in short-read mode has recently been used for genetic testing in various clinical settings. NGS data accuracy is crucial in clinical settings, and several reports regarding quality control of NGS data, primarily focusing on establishing NGS sequence read accuracy, have been published thus far. Variant calling is another critical source of NGS errors that remains unexplored at the single-nucleotide level despite its established significance. In this study, we used a machine-learning-based method to establish an exome-wide benchmark of difficult-to-sequence regions at the nucleotide-residue resolution using 10 genome sequence features based on real-world NGS data accumulated in The Genome Aggregation Database (gnomAD) of the human reference genome sequence (GRCh38/hg38). The newly acquired metric, designated the 'UNMET score,' along with additional lines of structural information from the human genome, allowed us to assess the sequencing challenges within the exonic region of interest using conventional short-read NGS. Thus, the UNMET score could provide a basis for addressing potential sequential errors in protein-coding exons of the human reference genome sequence GRCh38/hg38 in clinical sequencing.
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Affiliation(s)
- Atsushi Hijikata
- Laboratory of Computational Genomics, School of Life Sciences, Tokyo University of Pharmacy and Life Sciences, Hachioji, Tokyo 192-0392, Japan
| | - Mikita Suyama
- Division of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Higashi-ku, Fukuoka 812-8582, Japan
| | | | - Ryo Matoba
- DNA Chip Research Inc., Minato-ku, Tokyo 105-0022, Japan
| | - Takuya Naruto
- Clinical Research Institute, Kanagawa Children's Medical Center, Minami-ku, Yokohama, Kanagawa 232-0066, Japan
| | - Yumi Enomoto
- Clinical Research Institute, Kanagawa Children's Medical Center, Minami-ku, Yokohama, Kanagawa 232-0066, Japan
| | - Kenji Kurosawa
- Clinical Research Institute, Kanagawa Children's Medical Center, Minami-ku, Yokohama, Kanagawa 232-0066, Japan
- Division of Medical Genetics, Kanagawa Children's Medical Center, Minami-ku, Yokohama, Kanagawa 232-0066, Japan
| | - Naoki Harada
- Department of Fundamental Cell Technology, Center for iPS Cell Research and Application (CiRA), Kyoto University, Sakyo-ku, Kyoto 606-8507, Japan
| | - Kumiko Yanagi
- Department of Genome Medicine, National Center for Child Health and Development, Setagaya-ku, Tokyo 157-8535, Japan
| | - Tadashi Kaname
- Department of Genome Medicine, National Center for Child Health and Development, Setagaya-ku, Tokyo 157-8535, Japan
| | - Keisuke Miyako
- Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan
| | - Masaki Takazawa
- Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan
| | - Hideo Sasai
- Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan
- Department of Pediatrics, Graduate School of Medicine, Gifu University, Gifu, Gifu 501-1194, Japan
| | - Junichi Hosokawa
- Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan
| | - Sakae Itoga
- Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan
| | - Tomomi Yamaguchi
- Department of Medical Genetics, Shinshu University School of Medicine, Matsumoto, Nagano 390-8621, Japan
- Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Nagano 390-8621, Japan
- Division of Clinical Sequencing, Shinshu University School of Medicine, Matsumoto, Nagano 390-8621, Japan
| | - Tomoki Kosho
- Department of Medical Genetics, Shinshu University School of Medicine, Matsumoto, Nagano 390-8621, Japan
- Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Nagano 390-8621, Japan
- Division of Clinical Sequencing, Shinshu University School of Medicine, Matsumoto, Nagano 390-8621, Japan
| | - Keiko Matsubara
- Division of Collaborative Research, National Research Institute for Child Health and Development, Setagaya-ku, Tokyo 157-8535, Japan
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Setagaya-ku, Tokyo 157-8535, Japan
| | - Yoko Kuroki
- Department of Genome Medicine, National Center for Child Health and Development, Setagaya-ku, Tokyo 157-8535, Japan
- Division of Collaborative Research, National Research Institute for Child Health and Development, Setagaya-ku, Tokyo 157-8535, Japan
| | - Maki Fukami
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Setagaya-ku, Tokyo 157-8535, Japan
| | - Kaori Adachi
- Organization for Research Initiative and Promotion, Tottori University, Yonago, Tottori 680-8550, Japan
| | - Eiji Nanba
- Organization for Research Initiative and Promotion, Tottori University, Yonago, Tottori 680-8550, Japan
| | - Naomi Tsuchida
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Kanazawa-ku, Yokohama, Kanagawa 236-0027, Japan
- Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama, Kanagawa 236-0027, Japan
| | - Yuri Uchiyama
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Kanazawa-ku, Yokohama, Kanagawa 236-0027, Japan
- Department of Rare Disease Genomics, Yokohama City University Hospital, Yokohama, Kanagawa 236-0027, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Kanazawa-ku, Yokohama, Kanagawa 236-0027, Japan
| | | | - Osamu Ohara
- Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan
- Division of Clinical Sequencing, Shinshu University School of Medicine, Matsumoto, Nagano 390-8621, Japan
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Rodriguez Ruiz A, Van Dam AR. Metagenomic binning of PacBio HiFi data prior to assembly reveals a complete genome of Cosmopolites sordidus (Germar) (Coleopterea: Curculionidae, Dryophthorinae) the most damaging arthropod pest of bananas and plantains. PeerJ 2023; 11:e16276. [PMID: 38025758 PMCID: PMC10676084 DOI: 10.7717/peerj.16276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 09/20/2023] [Indexed: 12/01/2023] Open
Abstract
PacBio HiFi sequencing was employed in combination with metagenomic binning to produce a high-quality reference genome of Cosmopolites sordidus. We compared k-mer and alignment reference based pre-binning and post-binning approaches to remove contamination. We were also interested to know if the post-binning approach had interspersed bacterial contamination within intragenic regions of Arthropoda binned contigs. Our analyses identified 3,433 genes that were composed with reads identified as of putative bacterial origins. The pre-binning approach yielded a C. sordidus genome of 1.07 Gb genome composed of 3,089 contigs with 98.6% and 97.1% complete and single copy genome and protein BUSCO scores respectively. In this article we demonstrate that in this case the pre-binning approach does not sacrifice assembly quality for more stringent metagenomic filtering. We also determine post-binning allows for increased intragenic contamination increased with increasing coverage, but the frequency of gene contamination increased with lower coverage. Future work should focus on developing reference free pre-binning approaches for HiFi reads produced from eukaryotic based metagenomic samples.
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Affiliation(s)
- Alfredo Rodriguez Ruiz
- Departamento de Biología, Universidad de Puerto Rico Recinto Universitario de Mayagüez, Mayagüez, Puerto Rico, United States of America
| | - Alex R. Van Dam
- Departamento de Biología, Universidad de Puerto Rico Recinto Universitario de Mayagüez, Mayagüez, Puerto Rico, United States of America
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Song L, Langmead B. Centrifuger: lossless compression of microbial genomes for efficient and accurate metagenomic sequence classification. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.15.567129. [PMID: 38014029 PMCID: PMC10680779 DOI: 10.1101/2023.11.15.567129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Centrifuger is an efficient taxonomic classification method that compares sequencing reads against a microbial genome database. In Centrifuger, the Burrows-Wheeler transformed genome sequences are losslessly compressed using a novel scheme called run-block compression. Run-block compression achieves sublinear space complexity and is effective at compressing diverse microbial databases like RefSeq while supporting fast rank queries. Combining this compression method with other strategies for compacting the Ferragina-Manzini (FM) index, Centrifuger reduces the memory footprint by half compared to other FM-index-based approaches. Furthermore, the lossless compression and the unconstrained match length help Centrifuger achieve greater accuracy than competing methods at lower taxonomic levels.
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Affiliation(s)
- Li Song
- Department of Biomedical Data Science, Dartmouth College, Hanover, NH
| | - Ben Langmead
- Department of Computer Science, Johns Hopkins University, Baltimore, MD
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22
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Pascar J, Middleton H, Dorus S. Aedes aegypti microbiome composition covaries with the density of Wolbachia infection. MICROBIOME 2023; 11:255. [PMID: 37978413 PMCID: PMC10655336 DOI: 10.1186/s40168-023-01678-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 09/27/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Wolbachia is a widespread bacterial endosymbiont that can inhibit vector competency when stably transinfected into the mosquito, Aedes aegypti, a primary vector of the dengue virus (DENV) and other arboviruses. Although a complete mechanistic understanding of pathogen blocking is lacking, it is likely to involve host immunity induction and resource competition between Wolbachia and DENV, both of which may be impacted by microbiome composition. The potential impact of Wolbachia transinfection on host fitness is also of importance given the widespread release of mosquitos infected with the Drosophila melanogaster strain of Wolbachia (wMel) in wild populations. Here, population-level genomic data from Ae. aegypti was surveyed to establish the relationship between the density of wMel infection and the composition of the host microbiome. RESULTS Analysis of genomic data from 172 Ae. aegypti females across six populations resulted in an expanded and quantitatively refined, species-level characterization of the bacterial, archaeal, and fungal microbiome. This included 844 species of bacteria across 23 phyla, of which 54 species were found to be ubiquitous microbiome members across these populations. The density of wMel infection was highly variable between individuals and negatively correlated with microbiome diversity. Network analyses revealed wMel as a hub comprised solely of negative interactions with other bacterial species. This contrasted with the large and highly interconnected network of other microbiome species that may represent members of the midgut microbiome community in this population. CONCLUSION Our bioinformatic survey provided a species-level characterization of Ae. aegypti microbiome composition and variation. wMel load varied substantially across populations and individuals and, importantly, wMel was a major hub of a negative interactions across the microbiome. These interactions may be an inherent consequence of heightened pathogen blocking in densely infected individuals or, alternatively, may result from antagonistic Wolbachia-incompatible bacteria that could impede the efficacy of wMel as a biological control agent in future applications. The relationship between wMel infection variation and the microbiome warrants further investigation in the context of developing wMel as a multivalent control agent against other arboviruses. Video Abstract.
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Affiliation(s)
- Jane Pascar
- Center for Reproductive Evolution, Department of Biology, Syracuse University, Syracuse, NY, USA
| | - Henry Middleton
- Center for Reproductive Evolution, Department of Biology, Syracuse University, Syracuse, NY, USA
| | - Steve Dorus
- Center for Reproductive Evolution, Department of Biology, Syracuse University, Syracuse, NY, USA.
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23
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Muschick M, Jemmi E, Lengacher N, Hänsch S, Wales N, Kishe MA, Mwaiko S, Dieleman J, Lever MA, Salzburger W, Verschuren D, Seehausen O. Ancient DNA is preserved in fish fossils from tropical lake sediments. Mol Ecol 2023; 32:5913-5931. [PMID: 37830773 DOI: 10.1111/mec.17159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 08/30/2023] [Accepted: 09/25/2023] [Indexed: 10/14/2023]
Abstract
Tropical freshwater lakes are well known for their high biodiversity, and particularly the East African Great Lakes are renowned for their adaptive radiation of cichlid fishes. While comparative phylogenetic analyses of extant species flocks have revealed patterns and processes of their diversification, little is known about evolutionary trajectories within lineages, the impacts of environmental drivers, or the scope and nature of now-extinct diversity. Time-structured palaeodata from geologically young fossil records, such as fossil counts and particularly ancient DNA (aDNA) data, would help fill this large knowledge gap. High ambient temperatures can be detrimental to the preservation of DNA, but refined methodology now allows data generation even from very poorly preserved samples. Here, we show for the first time that fish fossils from tropical lake sediments yield endogenous aDNA. Despite generally low endogenous content and high sample dropout, the application of high-throughput sequencing and, in some cases, sequence capture allowed taxonomic assignment and phylogenetic placement of 17% of analysed fish fossils to family or tribe level, including remains which are up to 2700 years old or weigh less than 1 mg. The relationship between aDNA degradation and the thermal age of samples is similar to that described for terrestrial samples from cold environments when adjusted for elevated temperature. Success rates and aDNA preservation differed between the investigated lakes Chala, Kivu and Victoria, possibly caused by differences in bottom water oxygenation. Our study demonstrates that the sediment records of tropical lakes can preserve genetic information on rapidly diversifying fish taxa over time scales of millennia.
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Affiliation(s)
- Moritz Muschick
- Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
- Department of Fish Ecology and Evolution, EAWAG, Swiss Federal Institute for Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Eliane Jemmi
- Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
- Department of Fish Ecology and Evolution, EAWAG, Swiss Federal Institute for Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Nicholas Lengacher
- Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
- Department of Fish Ecology and Evolution, EAWAG, Swiss Federal Institute for Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Stephanie Hänsch
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
| | - Nathan Wales
- Department of Archaeology, University of York, York, UK
| | - Mary A Kishe
- Tanzania Fisheries Research Institute, Dar es Salaam, Tanzania
| | - Salome Mwaiko
- Department of Fish Ecology and Evolution, EAWAG, Swiss Federal Institute for Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Jorunn Dieleman
- Limnology Unit, Department of Biology, Ghent University, Ghent, Belgium
| | - Mark Alexander Lever
- Institute of Biogeochemistry and Pollutant Dynamics, Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland
- Marine Science Institute, University of Texas at Austin, Port Aransas, Texas, USA
| | | | - Dirk Verschuren
- Limnology Unit, Department of Biology, Ghent University, Ghent, Belgium
| | - Ole Seehausen
- Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
- Department of Fish Ecology and Evolution, EAWAG, Swiss Federal Institute for Aquatic Science and Technology, Kastanienbaum, Switzerland
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24
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Gillis N, Padron E, Wang T, Chen K, DeVos JD, Spellman SR, Lee SJ, Kitko CL, MacMillan ML, West J, Tang YH, Teng M, McNulty S, Druley TE, Pidala JA, Lazaryan A. Pilot Study of Donor-Engrafted Clonal Hematopoiesis Evolution and Clinical Outcomes in Allogeneic Hematopoietic Cell Transplantation Recipients Using a National Registry. Transplant Cell Ther 2023; 29:640.e1-640.e8. [PMID: 37517612 PMCID: PMC10592088 DOI: 10.1016/j.jtct.2023.07.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 07/24/2023] [Accepted: 07/25/2023] [Indexed: 08/01/2023]
Abstract
Improved treatment options, such as reduced-intensity conditioning (RIC), enable older patients to receive potentially curative allogeneic hematopoietic cell transplantation (HCT). This progress has led to increased use of older HLA-matched sibling donors. An unintended potential risk associated with older donors is transplantation of donor cells with clonal hematopoiesis (CH) into patients. We aimed to determine the prevalence of CH in older HLA-matched sibling donors pretransplantation and to assess the clinical impact of donor-engrafted CH on HCT outcomes. This was an observational study using donor peripheral blood samples from the Center for International Blood and Marrow Transplant Research repository, linked with corresponding recipient outcomes. To explore engraftment efficiency and evolution of CH mutations following HCT, recipient follow-up samples available through the Bone Marrow Transplant Clinical Trials Network (Protocol 1202) were included. Older donors and patients (both ≥55 years) receiving first RIC HCT for myeloid malignancies were eligible. DNA from archived donor blood samples was used for targeted deep sequencing to identify CH. The associations between donor CH status and recipient outcomes, including acute graft-versus-host disease (aGVHD), chronic GVHD (cGVHD), overall survival, relapse, nonrelapse mortality, disease-free survival, composite GVHD-free and relapse-free survival, and cGVHD-free and relapse-free survival, were analyzed. A total of 299 donors were successfully sequenced to detect CH. At a variant allele frequency (VAF) ≥2%, there were 44 CH mutations in 13.7% (41 of 299) of HLA-matched sibling donors. CH mostly involved DNMT3A (n = 27; 61.4%) and TET2 (n= 9; 20.5%). Post-HCT samples from 13 recipients were also sequenced, of whom 7 had CH+ donors. All of the donor CH mutations (n = 7/7; 100%) were detected in recipients at day 56 or day 90 post-HCT. Overall, mutation VAFs remained relatively constant up to day 90 post-HCT (median change, .005; range, -.008 to .024). Doubling time analysis of recipient day 56 and day 90 data showed that donor-engrafted CH mutations initially expand then decrease to a stable VAF; germline mutations had longer doubling times than CH mutations. The cumulative incidence of grade II-IV aGVHD at day 100 was higher in HCT recipients with CH+ donors (37.5% versus 25.1%); however, the risk for aGVHD by donor CH status did not reach statistical significance (hazard ratio, 1.35; 95% confidence interval, .61 to 3.01; P = .47). There were no statistically significant differences in the cumulative incidence of cGVHD or any secondary outcomes by donor CH status. In subset analysis, the incidence of cGVHD was lower in recipients of grafts from DNMT3A CH+ donors versus donors without DNMT3A CH (34.4% versus 57%; P = .035). Donor cell leukemia was not reported in any donor-recipient pairs. CH in older HLA-matched sibling donors is relatively common and successfully engrafts and persists in recipients. In a homogenous population (myeloid malignancies, older donors and recipients, RICr, non-cyclophosphamide-containing GVHD prophylaxis), we did not detect a difference in cGVHD risk or other secondary outcomes by donor CH status. Subgroup analyses suggest potential differential effects by clinical characteristics and CH mutations. Larger prospective studies are needed to robustly determine which subsets of patients and CH mutations elicit meaningful impacts on clinical outcomes.
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Affiliation(s)
- Nancy Gillis
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida; Department of Malignant Hematology, Moffitt Cancer Center and Research Institute, Tampa, Florida.
| | - Eric Padron
- Department of Malignant Hematology, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Tao Wang
- Division of Biostatistics, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, Wisconsin; Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Karen Chen
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Jakob D DeVos
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Stephanie J Lee
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin; Fred Hutchinson Cancer Center, Seattle, Washington
| | - Carrie L Kitko
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Margaret L MacMillan
- Blood and Marrow Transplant Program, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota
| | - Jeffrey West
- Department of Integrated Mathematical Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Yi-Han Tang
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Mingxiang Teng
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | | | | | - Joseph A Pidala
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Aleksandr Lazaryan
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, Moffitt Cancer Center and Research Institute, Tampa, Florida
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25
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Suárez-Menéndez M, Bérubé M, Furni F, Rivera-León VE, Heide-Jørgensen MP, Larsen F, Sears R, Ramp C, Eriksson BK, Etienne RS, Robbins J, Palsbøll PJ. Wild pedigrees inform mutation rates and historic abundance in baleen whales. Science 2023; 381:990-995. [PMID: 37651509 DOI: 10.1126/science.adf2160] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 07/25/2023] [Indexed: 09/02/2023]
Abstract
Phylogeny-based estimates suggesting a low germline mutation rate (μ) in baleen whales have influenced research ranging from assessments of whaling impacts to evolutionary cancer biology. We estimated μ directly from pedigrees in four baleen whale species for both the mitochondrial control region and nuclear genome. The results suggest values higher than those obtained through phylogeny-based estimates and similar to pedigree-based values for primates and toothed whales. Applying our estimate of μ reduces previous genetic-based estimates of preexploitation whale abundance by 86% and suggests that μ cannot explain low cancer rates in gigantic mammals. Our study shows that it is feasible to estimate μ directly from pedigrees in natural populations, with wide-ranging implications for ecological and evolutionary research.
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Affiliation(s)
- Marcos Suárez-Menéndez
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
| | - Martine Bérubé
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
- Center for Coastal Studies, Provincetown, MA, USA
| | - Fabrício Furni
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
| | - Vania E Rivera-León
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
| | | | - Finn Larsen
- National Institute of Aquatic Resources, Kongens Lyngby, Denmark
| | - Richard Sears
- Mingan Island Cetacean Study Inc., St. Lambert, Quebec, Canada
| | - Christian Ramp
- Mingan Island Cetacean Study Inc., St. Lambert, Quebec, Canada
- Scottish Oceans Institute, University of St. Andrews, St. Andrews, UK
| | - Britas Klemens Eriksson
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
| | - Rampal S Etienne
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
| | | | - Per J Palsbøll
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
- Center for Coastal Studies, Provincetown, MA, USA
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26
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Fu Y, Zhuang Y, Luo SJ, Xu X. An Enhanced Method for the Use of Reptile Skin Sheds as a High-Quality DNA Source for Genome Sequencing. Genes (Basel) 2023; 14:1678. [PMID: 37761818 PMCID: PMC10531129 DOI: 10.3390/genes14091678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/23/2023] [Accepted: 08/23/2023] [Indexed: 09/29/2023] Open
Abstract
With the emergence of high-throughput sequencing technology, a number of non-avian reptile species have been sequenced at the genome scale, shedding light on various scientific inquiries related to reptile ecology and evolution. However, the routine requirement of tissue or blood samples for genome sequencing often poses challenges in many elusive reptiles, hence limiting the application of high-throughput sequencing technologies to reptile studies. An alternative reptilian DNA resource suitable for genome sequencing is in urgent need. Here, we used the corn snake (Pantherophis guttatus) as a reptile model species to demonstrate that the shed skin is a high-quality DNA source for genome sequencing. Skin sheds provide a noninvasive type of sample that can be easily collected without restraining or harming the animal. Our findings suggest that shed skin from corn snakes yields DNA of sufficient quantity and quality that are comparable to tissue DNA extracts. Genome sequencing data analysis revealed that shed skin DNA is subject to bacteria contamination at variable levels, which is a major issue related to shed skin DNA and may be addressed by a modified DNA extraction method through introduction of a 30 min pre-digestion step. This study provides an enhanced method for the use of reptile shed skins as a high-quality DNA source for whole genome sequencing. Utilizing shed skin DNA enables researchers to overcome the limitations generally associated with obtaining traditional tissue or blood samples and promises to facilitate the application of genome sequencing in reptilian research.
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Affiliation(s)
- Yeyizhou Fu
- The State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (Y.F.); (Y.Z.)
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Peking-Tsinghua-NIBS (PTN) Program, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Yan Zhuang
- The State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (Y.F.); (Y.Z.)
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shu-Jin Luo
- The State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (Y.F.); (Y.Z.)
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Peking-Tsinghua-NIBS (PTN) Program, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Xiao Xu
- The State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; (Y.F.); (Y.Z.)
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
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27
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Rumore J, Walker M, Pagotto F, Forbes JD, Peterson CL, Tyler AD, Graham M, Van Domselaar G, Nadon C, Reimer A, Knox N. Use of a taxon-specific reference database for accurate metagenomics-based pathogen detection of Listeria monocytogenes in turkey deli meat and spinach. BMC Genomics 2023; 24:361. [PMID: 37370007 DOI: 10.1186/s12864-023-09338-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 04/26/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND The reliability of culture-independent pathogen detection in foods using metagenomics is contingent on the quality and composition of the reference database. The inclusion of microbial sequences from a diverse representation of taxonomies in universal reference databases is recommended to maximize classification precision for pathogen detection. However, these sizable databases have high memory requirements that may be out of reach for some users. In this study, we aimed to assess the performance of a foodborne pathogen (FBP)-specific reference database (taxon-specific) relative to a universal reference database (taxon-agnostic). We tested our FBP-specific reference database's performance for detecting Listeria monocytogenes in two complex food matrices-ready-to-eat (RTE) turkey deli meat and prepackaged spinach-using three popular read-based DNA-to-DNA metagenomic classifiers: Centrifuge, Kraken 2 and KrakenUniq. RESULTS In silico host sequence removal led to substantially fewer false positive (FP) classifications and higher classification precision in RTE turkey deli meat datasets using the FBP-specific reference database. No considerable improvement in classification precision was observed following host filtering for prepackaged spinach datasets and was likely a consequence of a higher microbe-to-host sequence ratio. All datasets classified with Centrifuge using the FBP-specific reference database had the lowest classification precision compared to Kraken 2 or KrakenUniq. When a confidence-scoring threshold was applied, a nearly equivalent precision to the universal reference database was achieved for Kraken 2 and KrakenUniq. Recall was high for both reference databases across all datasets and classifiers. Substantially fewer computational resources were required for metagenomics-based detection of L. monocytogenes using the FBP-specific reference database, especially when combined with Kraken 2. CONCLUSIONS A universal (taxon-agnostic) reference database is not essential for accurate and reliable metagenomics-based pathogen detection of L. monocytogenes in complex food matrices. Equivalent classification performance can be achieved using a taxon-specific reference database when the appropriate quality control measures, classification software, and analysis parameters are applied. This approach is less computationally demanding and more attainable for the broader scientific and food safety communities.
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Affiliation(s)
- Jillian Rumore
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada.
- Public Health Agency of Canada, National Microbiology Laboratory, MB, Winnipeg, Canada.
| | - Matthew Walker
- Public Health Agency of Canada, National Microbiology Laboratory, MB, Winnipeg, Canada
| | - Franco Pagotto
- Food Directorate, Health Canada, Bureau of Microbial Hazards, Ottawa, ON, Canada
| | - Jessica D Forbes
- Eastern Ontario Regional Laboratory Association, Ottawa, ON, Canada
| | - Christy-Lynn Peterson
- Public Health Agency of Canada, National Microbiology Laboratory, MB, Winnipeg, Canada
| | - Andrea D Tyler
- Public Health Agency of Canada, National Microbiology Laboratory, MB, Winnipeg, Canada
| | - Morag Graham
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- Public Health Agency of Canada, National Microbiology Laboratory, MB, Winnipeg, Canada
| | - Gary Van Domselaar
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- Public Health Agency of Canada, National Microbiology Laboratory, MB, Winnipeg, Canada
| | - Celine Nadon
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- Public Health Agency of Canada, National Microbiology Laboratory, MB, Winnipeg, Canada
| | - Aleisha Reimer
- Public Health Agency of Canada, National Microbiology Laboratory, MB, Winnipeg, Canada
| | - Natalie Knox
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- Public Health Agency of Canada, National Microbiology Laboratory, MB, Winnipeg, Canada
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28
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Astashyn A, Tvedte ES, Sweeney D, Sapojnikov V, Bouk N, Joukov V, Mozes E, Strope PK, Sylla PM, Wagner L, Bidwell SL, Clark K, Davis EW, Smith-White B, Hlavina W, Pruitt KD, Schneider VA, Murphy TD. Rapid and sensitive detection of genome contamination at scale with FCS-GX. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.02.543519. [PMID: 37292984 PMCID: PMC10246020 DOI: 10.1101/2023.06.02.543519] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Assembled genome sequences are being generated at an exponential rate. Here we present FCS-GX, part of NCBI's Foreign Contamination Screen (FCS) tool suite, optimized to identify and remove contaminant sequences in new genomes. FCS-GX screens most genomes in 0.1-10 minutes. Testing FCS-GX on artificially fragmented genomes demonstrates sensitivity >95% for diverse contaminant species and specificity >99.93%. We used FCS-GX to screen 1.6 million GenBank assemblies and identified 36.8 Gbp of contamination (0.16% of total bases), with half from 161 assemblies. We updated assemblies in NCBI RefSeq to reduce detected contamination to 0.01% of bases. FCS-GX is available at https://github.com/ncbi/fcs/.
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Affiliation(s)
- Alexander Astashyn
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Eric S Tvedte
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Deacon Sweeney
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Victor Sapojnikov
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Nathan Bouk
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Victor Joukov
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Eyal Mozes
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pooja K Strope
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pape M Sylla
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Lukas Wagner
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Shelby L Bidwell
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Karen Clark
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Emily W Davis
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Brian Smith-White
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Wratko Hlavina
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Kim D Pruitt
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Valerie A Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
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29
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Whitmore L, McCauley M, Farrell JA, Stammnitz MR, Koda SA, Mashkour N, Summers V, Osborne T, Whilde J, Duffy DJ. Inadvertent human genomic bycatch and intentional capture raise beneficial applications and ethical concerns with environmental DNA. Nat Ecol Evol 2023; 7:873-888. [PMID: 37188965 PMCID: PMC10250199 DOI: 10.1038/s41559-023-02056-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 03/29/2023] [Indexed: 05/17/2023]
Abstract
The field of environmental DNA (eDNA) is advancing rapidly, yet human eDNA applications remain underutilized and underconsidered. Broader adoption of eDNA analysis will produce many well-recognized benefits for pathogen surveillance, biodiversity monitoring, endangered and invasive species detection, and population genetics. Here we show that deep-sequencing-based eDNA approaches capture genomic information from humans (Homo sapiens) just as readily as that from the intended target species. We term this phenomenon human genetic bycatch (HGB). Additionally, high-quality human eDNA could be intentionally recovered from environmental substrates (water, sand and air), holding promise for beneficial medical, forensic and environmental applications. However, this also raises ethical dilemmas, from consent, privacy and surveillance to data ownership, requiring further consideration and potentially novel regulation. We present evidence that human eDNA is readily detectable from 'wildlife' environmental samples as human genetic bycatch, demonstrate that identifiable human DNA can be intentionally recovered from human-focused environmental sampling and discuss the translational and ethical implications of such findings.
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Affiliation(s)
- Liam Whitmore
- Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, FL, USA
- Department of Biological Sciences, School of Natural Sciences, Faculty of Science and Engineering, University of Limerick, Limerick, Ireland
| | - Mark McCauley
- Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, FL, USA
- Department of Chemistry, University of Florida, Gainesville, FL, USA
| | - Jessica A Farrell
- Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, FL, USA
- Department of Biology, College of Liberal Arts and Sciences, University of Florida, Gainesville, FL, USA
| | - Maximilian R Stammnitz
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Samantha A Koda
- Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, FL, USA
| | - Narges Mashkour
- Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, FL, USA
| | - Victoria Summers
- Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, FL, USA
| | - Todd Osborne
- Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, FL, USA
| | - Jenny Whilde
- Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, FL, USA
| | - David J Duffy
- Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, FL, USA.
- Department of Biology, College of Liberal Arts and Sciences, University of Florida, Gainesville, FL, USA.
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Coutinho FH, Silveira CB, Sebastián M, Sánchez P, Duarte CM, Vaqué D, Gasol JM, Acinas SG. Water mass age structures the auxiliary metabolic gene content of free-living and particle-attached deep ocean viral communities. MICROBIOME 2023; 11:118. [PMID: 37237317 PMCID: PMC10224230 DOI: 10.1186/s40168-023-01547-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/10/2023] [Indexed: 05/28/2023]
Abstract
BACKGROUND Viruses play important roles in the ocean's biogeochemical cycles. Yet, deep ocean viruses are one of the most under-explored fractions of the global biosphere. Little is known about the environmental factors that control the composition and functioning of their communities or how they interact with their free-living or particle-attached microbial hosts. RESULTS We analysed 58 viral communities associated with size-fractionated free-living (0.2-0.8 μm) and particle-attached (0.8-20 μm) cellular metagenomes from bathypelagic (2150-4018 m deep) microbiomes obtained during the Malaspina expedition. These metagenomes yielded 6631 viral sequences, 91% of which were novel, and 67 represented high-quality genomes. Taxonomic classification assigned 53% of the viral sequences to families of tailed viruses from the order Caudovirales. Computational host prediction associated 886 viral sequences to dominant members of the deep ocean microbiome, such as Alphaproteobacteria (284), Gammaproteobacteria (241), SAR324 (23), Marinisomatota (39), and Chloroflexota (61). Free-living and particle-attached viral communities had markedly distinct taxonomic composition, host prevalence, and auxiliary metabolic gene content, which led to the discovery of novel viral-encoded metabolic genes involved in the folate and nucleotide metabolisms. Water mass age emerged as an important factor driving viral community composition. We postulated this was due to changes in quality and concentration of dissolved organic matter acting on the host communities, leading to an increase of viral auxiliary metabolic genes associated with energy metabolism among older water masses. CONCLUSIONS These results shed light on the mechanisms by which environmental gradients of deep ocean ecosystems structure the composition and functioning of free-living and particle-attached viral communities. Video Abstract.
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Affiliation(s)
- Felipe H Coutinho
- Department of Marine Biology and Oceanography, Institut de Ciències del Mar (ICM), CSIC, 08003, Barcelona, Spain.
| | - Cynthia B Silveira
- Department of Biology, University of Miami, Coral Gables, FL, USA
- Department of Marine Biology and Ecology, Rosenstiel School of Marine, Atmospheric, and Earth Sciences, University of Miami, Miami, FL, USA
| | - Marta Sebastián
- Department of Marine Biology and Oceanography, Institut de Ciències del Mar (ICM), CSIC, 08003, Barcelona, Spain
| | - Pablo Sánchez
- Department of Marine Biology and Oceanography, Institut de Ciències del Mar (ICM), CSIC, 08003, Barcelona, Spain
| | - Carlos M Duarte
- Red Sea Research Centre (RSRC) and Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia
| | - Dolors Vaqué
- Department of Marine Biology and Oceanography, Institut de Ciències del Mar (ICM), CSIC, 08003, Barcelona, Spain
| | - Josep M Gasol
- Department of Marine Biology and Oceanography, Institut de Ciències del Mar (ICM), CSIC, 08003, Barcelona, Spain
| | - Silvia G Acinas
- Department of Marine Biology and Oceanography, Institut de Ciències del Mar (ICM), CSIC, 08003, Barcelona, Spain.
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Dunlap DG, Yang L, Qin S, Li K, Fitch A, Huang L, McVerry BJ, Hand TW, Methé BA, Morris A. Magnetic-activated cell sorting identifies a unique lung microbiome community. MICROBIOME 2023; 11:117. [PMID: 37226179 PMCID: PMC10210470 DOI: 10.1186/s40168-022-01434-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 11/23/2022] [Indexed: 05/26/2023]
Abstract
BACKGROUND The advent of culture-independent, next-generation DNA sequencing has led to the discovery of distinct lung bacterial communities. Studies of lung microbiome taxonomy often reveal only subtle differences between health and disease, but host recognition and response may distinguish the members of similar bacterial communities in different populations. Magnetic-activated cell sorting has been applied to the gut microbiome to identify the numbers and types of bacteria eliciting a humoral response. We adapted this technique to examine the populations of immunoglobulin-bound bacteria in the lung. METHODS Sixty-four individuals underwent bronchoalveolar lavage (BAL). We separated immunoglobulin G-bound bacteria using magnetic-activated cell sorting and sequenced the 16S rRNA gene on the Illumina MiSeq platform. We compared microbial sequencing data in IgG-bound bacterial communities compared to raw BAL then examined the differences in individuals with and without HIV as a representative disease state. RESULTS Immunoglobulin G-bound bacteria were identified in all individuals. The community structure differed when compared to raw BAL, and there was a greater abundance of Pseudomonas and fewer oral bacteria in IgG-bound BAL. Examination of IgG-bound communities in individuals with HIV demonstrated the differences in Ig-bound bacteria by HIV status that were not seen in a comparison of raw BAL, and greater numbers of immunoglobulin-bound bacteria were associated with higher pulmonary cytokine levels. CONCLUSIONS We report a novel application of magnetic-activated cell sorting to identify immunoglobulin G-bound bacteria in the lung. This technique identified distinct bacterial communities which differed in composition from raw bronchoalveolar lavage, revealing the differences not detected by traditional analyses. Cytokine response was also associated with differential immunoglobulin binding of lung bacteria, suggesting the functional importance of these communities. Video Abstract.
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Affiliation(s)
- Daniel G. Dunlap
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, NW628, 3459 Fifth Avenue, Pittsburgh, PA 15213 USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, USA
| | - Libing Yang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, NW628, 3459 Fifth Avenue, Pittsburgh, PA 15213 USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, USA
| | - Shulin Qin
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, NW628, 3459 Fifth Avenue, Pittsburgh, PA 15213 USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, USA
| | - Kelvin Li
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, USA
| | - Adam Fitch
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, USA
| | - Laurence Huang
- Department of Medicine, University of California, San Francisco, CA USA
| | - Bryan J. McVerry
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, NW628, 3459 Fifth Avenue, Pittsburgh, PA 15213 USA
| | | | - Barbara A. Methé
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, USA
| | - Alison Morris
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, NW628, 3459 Fifth Avenue, Pittsburgh, PA 15213 USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, USA
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA USA
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32
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Forgia M, Navarro B, Daghino S, Cervera A, Gisel A, Perotto S, Aghayeva DN, Akinyuwa MF, Gobbi E, Zheludev IN, Edgar RC, Chikhi R, Turina M, Babaian A, Di Serio F, de la Peña M. Hybrids of RNA viruses and viroid-like elements replicate in fungi. Nat Commun 2023; 14:2591. [PMID: 37147358 PMCID: PMC10162972 DOI: 10.1038/s41467-023-38301-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 04/25/2023] [Indexed: 05/07/2023] Open
Abstract
Earth's life may have originated as self-replicating RNA, and it has been argued that RNA viruses and viroid-like elements are remnants of such pre-cellular RNA world. RNA viruses are defined by linear RNA genomes encoding an RNA-dependent RNA polymerase (RdRp), whereas viroid-like elements consist of small, single-stranded, circular RNA genomes that, in some cases, encode paired self-cleaving ribozymes. Here we show that the number of candidate viroid-like elements occurring in geographically and ecologically diverse niches is much higher than previously thought. We report that, amongst these circular genomes, fungal ambiviruses are viroid-like elements that undergo rolling circle replication and encode their own viral RdRp. Thus, ambiviruses are distinct infectious RNAs showing hybrid features of viroid-like RNAs and viruses. We also detected similar circular RNAs, containing active ribozymes and encoding RdRps, related to mitochondrial-like fungal viruses, highlighting fungi as an evolutionary hub for RNA viruses and viroid-like elements. Our findings point to a deep co-evolutionary history between RNA viruses and subviral elements and offer new perspectives in the origin and evolution of primordial infectious agents, and RNA life.
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Affiliation(s)
- Marco Forgia
- Institute for Sustainable Plant Protection, National Research Council of Italy, Torino, Italy
| | - Beatriz Navarro
- Institute for Sustainable Plant Protection, National Research Council of Italy, Bari, Italy
| | - Stefania Daghino
- Institute for Sustainable Plant Protection, National Research Council of Italy, Torino, Italy
| | - Amelia Cervera
- Instituto de Biología Molecular y Celular de Plantas, Universidad Politécnica de Valencia-CSIC, Valencia, Spain
| | - Andreas Gisel
- Institute of Biomedical Technologies, National Research Council of Italy, Bari, Italy
- International Institute of Tropical Agriculture, Ibadan, Nigeria
| | - Silvia Perotto
- Department of Life Science and Systems Biology, University of Torino, Torino, Italy
| | - Dilzara N Aghayeva
- Institute of Botany, Ministry of Science and Education of the Republic of Azerbaijan, Baku, Azerbaijan
| | - Mary F Akinyuwa
- Department of Agroforestry Ecosystems, Universidad Politécnica de Valencia, Valencia, Spain
- Department of Land, Environment Agriculture and Forestry, Università Degli Studi di Padova, Padova, Italy
- Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA
| | - Emanuela Gobbi
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Ivan N Zheludev
- Department of Biochemistry, Stanford University, Stanford, CA, USA
| | | | - Rayan Chikhi
- G5 Sequence Bioinformatics, Department of Computational Biology, Institut Pasteur, Paris, France
| | - Massimo Turina
- Institute for Sustainable Plant Protection, National Research Council of Italy, Brescia, Italy.
| | - Artem Babaian
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
- Terrence Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto, ON, Canada.
| | - Francesco Di Serio
- Institute for Sustainable Plant Protection, National Research Council of Italy, Bari, Italy.
| | - Marcos de la Peña
- Instituto de Biología Molecular y Celular de Plantas, Universidad Politécnica de Valencia-CSIC, Valencia, Spain.
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Stammnitz MR, Gori K, Kwon YM, Harry E, Martin FJ, Billis K, Cheng Y, Baez-Ortega A, Chow W, Comte S, Eggertsson H, Fox S, Hamede R, Jones M, Lazenby B, Peck S, Pye R, Quail MA, Swift K, Wang J, Wood J, Howe K, Stratton MR, Ning Z, Murchison EP. The evolution of two transmissible cancers in Tasmanian devils. Science 2023; 380:283-293. [PMID: 37079675 DOI: 10.1126/science.abq6453] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
Tasmanian devils have spawned two transmissible cancer lineages, named devil facial tumor 1 (DFT1) and devil facial tumor 2 (DFT2). We investigated the genetic diversity and evolution of these clones by analyzing 78 DFT1 and 41 DFT2 genomes relative to a newly assembled, chromosome-level reference. Time-resolved phylogenetic trees reveal that DFT1 first emerged in 1986 (1982 to 1989) and DFT2 in 2011 (2009 to 2012). Subclone analysis documents transmission of heterogeneous cell populations. DFT2 has faster mutation rates than DFT1 across all variant classes, including substitutions, indels, rearrangements, transposable element insertions, and copy number alterations, and we identify a hypermutated DFT1 lineage with defective DNA mismatch repair. Several loci show plausible evidence of positive selection in DFT1 or DFT2, including loss of chromosome Y and inactivation of MGA, but none are common to both cancers. This study reveals the parallel long-term evolution of two transmissible cancers inhabiting a common niche in Tasmanian devils.
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Affiliation(s)
- Maximilian R Stammnitz
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Kevin Gori
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Young Mi Kwon
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Edward Harry
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Konstantinos Billis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Yuanyuan Cheng
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia
| | - Adrian Baez-Ortega
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - William Chow
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Sebastien Comte
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- Vertebrate Pest Research Unit, NSW Department of Primary Industries, Orange, NSW, Australia
| | | | - Samantha Fox
- Save the Tasmanian Devil Program, Tasmanian Department of Natural Resources and Environment, Hobart, TAS, Australia
- Toledo Zoo, Toledo, OH, USA
| | - Rodrigo Hamede
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- CANCEV, Centre de Recherches Ecologiques et Evolutives sur le Cancer, Montpellier, France
| | - Menna Jones
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
| | - Billie Lazenby
- Save the Tasmanian Devil Program, Tasmanian Department of Natural Resources and Environment, Hobart, TAS, Australia
| | - Sarah Peck
- Save the Tasmanian Devil Program, Tasmanian Department of Natural Resources and Environment, Hobart, TAS, Australia
| | - Ruth Pye
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Michael A Quail
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kate Swift
- Mount Pleasant Laboratories, Tasmanian Department of Natural Resources and Environment, Prospect, TAS, Australia
| | - Jinhong Wang
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Jonathan Wood
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kerstin Howe
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Michael R Stratton
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Zemin Ning
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Elizabeth P Murchison
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
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From Gut to Blood: Spatial and Temporal Pathobiome Dynamics during Acute Abdominal Murine Sepsis. Microorganisms 2023; 11:microorganisms11030627. [PMID: 36985201 PMCID: PMC10054525 DOI: 10.3390/microorganisms11030627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/15/2023] [Accepted: 02/24/2023] [Indexed: 03/05/2023] Open
Abstract
Abdominal sepsis triggers the transition of microorganisms from the gut to the peritoneum and bloodstream. Unfortunately, there is a limitation of methods and biomarkers to reliably study the emergence of pathobiomes and to monitor their respective dynamics. Three-month-old CD-1 female mice underwent cecal ligation and puncture (CLP) to induce abdominal sepsis. Serial and terminal endpoint specimens were collected for fecal, peritoneal lavage, and blood samples within 72 h. Microbial species compositions were determined by NGS of (cell-free) DNA and confirmed by microbiological cultivation. As a result, CLP induced rapid and early changes of gut microbial communities, with a transition of pathogenic species into the peritoneum and blood detected at 24 h post-CLP. NGS was able to identify pathogenic species in a time course-dependent manner in individual mice using cfDNA from as few as 30 microliters of blood. Absolute levels of cfDNA from pathogens changed rapidly during acute sepsis, demonstrating its short half-life. Pathogenic species and genera in CLP mice significantly overlapped with pathobiomes from septic patients. The study demonstrated that pathobiomes serve as reservoirs following CLP for the transition of pathogens into the bloodstream. Due to its short half-life, cfDNA can serve as a precise biomarker for pathogen identification in blood.
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Deep reinforcement learning-based pairwise DNA sequence alignment method compatible with embedded edge devices. Sci Rep 2023; 13:2773. [PMID: 36797269 PMCID: PMC9935504 DOI: 10.1038/s41598-023-29277-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 02/01/2023] [Indexed: 02/18/2023] Open
Abstract
Sequence alignment is an essential component of bioinformatics, for identifying regions of similarity that may indicate functional, structural, or evolutionary relationships between the sequences. Genome-based diagnostics relying on DNA sequencing have benefited hugely from the boom in computing power in recent decades, particularly due to cloud-computing and the rise of graphics processing units (GPUs) and other advanced computing platforms for running advanced algorithms. Translating the success of such breakthroughs in diagnostics to affordable solutions for low-cost healthcare requires development of algorithms that can operate on the edge instead of in the cloud, using low-cost and low-power electronic systems such as microcontrollers and field programmable gate arrays (FPGAs). In this work, we present EdgeAlign, a deep reinforcement learning based method for performing pairwise DNA sequence alignment on stand-alone edge devices. EdgeAlign uses deep reinforcement learning to train a deep Q-network (DQN) agent for performing sequence alignment on fixed length sub-sequences, using a sliding window that is scanned over the length of the entire sequence. The hardware resource-consumption for implementing this scheme is thus independent of the lengths of the sequences to be aligned, and is further optimized using a novel AutoML based method for neural network model size reduction. Unlike other algorithms for sequence alignment reported in literature, the model demonstrated in this work is highly compact and deployed on two edge devices (NVIDIA Jetson Nano Developer Kit and Digilent Arty A7-100T, containing Xilinx XC7A35T Artix-7 FPGA) for demonstration of alignment for sequences from the publicly available Influenza sequences at the National Center for Biotechnology Information (NCBI) Virus Data Hub.
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36
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Lee BD, Neri U, Roux S, Wolf YI, Camargo AP, Krupovic M, Simmonds P, Kyrpides N, Gophna U, Dolja VV, Koonin EV. Mining metatranscriptomes reveals a vast world of viroid-like circular RNAs. Cell 2023; 186:646-661.e4. [PMID: 36696902 PMCID: PMC9911046 DOI: 10.1016/j.cell.2022.12.039] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 11/11/2022] [Accepted: 12/20/2022] [Indexed: 01/26/2023]
Abstract
Viroids and viroid-like covalently closed circular (ccc) RNAs are minimal replicators that typically encode no proteins and hijack cellular enzymes for replication. The extent and diversity of viroid-like agents are poorly understood. We developed a computational pipeline to identify viroid-like cccRNAs and applied it to 5,131 metatranscriptomes and 1,344 plant transcriptomes. The search yielded 11,378 viroid-like cccRNAs spanning 4,409 species-level clusters, a 5-fold increase compared to the previously identified viroid-like elements. Within this diverse collection, we discovered numerous putative viroids, satellite RNAs, retrozymes, and ribozy-like viruses. Diverse ribozyme combinations and unusual ribozymes within the cccRNAs were identified. Self-cleaving ribozymes were identified in ambiviruses, some mito-like viruses and capsid-encoding satellite virus-like cccRNAs. The broad presence of viroid-like cccRNAs in diverse transcriptomes and ecosystems implies that their host range is far broader than currently known, and matches to CRISPR spacers suggest that some cccRNAs replicate in prokaryotes.
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Affiliation(s)
- Benjamin D Lee
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - Uri Neri
- The Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Simon Roux
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Yuri I Wolf
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Antonio Pedro Camargo
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Mart Krupovic
- Institut Pasteur, Université Paris Cité, CNRS UMR6047, Archaeal Virology Unit, 75015 Paris, France
| | - Peter Simmonds
- Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - Nikos Kyrpides
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Uri Gophna
- The Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Valerian V Dolja
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Eugene V Koonin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
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37
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Phylogenomic analysis of Wolbachia genomes from the Darwin Tree of Life biodiversity genomics project. PLoS Biol 2023; 21:e3001972. [PMID: 36689552 PMCID: PMC9894559 DOI: 10.1371/journal.pbio.3001972] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 02/02/2023] [Accepted: 12/19/2022] [Indexed: 01/24/2023] Open
Abstract
The Darwin Tree of Life (DToL) project aims to sequence all described terrestrial and aquatic eukaryotic species found in Britain and Ireland. Reference genome sequences are generated from single individuals for each target species. In addition to the target genome, sequenced samples often contain genetic material from microbiomes, endosymbionts, parasites, and other cobionts. Wolbachia endosymbiotic bacteria are found in a diversity of terrestrial arthropods and nematodes, with supergroups A and B the most common in insects. We identified and assembled 110 complete Wolbachia genomes from 93 host species spanning 92 families by filtering data from 368 insect species generated by the DToL project. From 15 infected species, we assembled more than one Wolbachia genome, including cases where individuals carried simultaneous supergroup A and B infections. Different insect orders had distinct patterns of infection, with Lepidopteran hosts mostly infected with supergroup B, while infections in Diptera and Hymenoptera were dominated by A-type Wolbachia. Other than these large-scale order-level associations, host and Wolbachia phylogenies revealed no (or very limited) cophylogeny. This points to the occurrence of frequent host switching events, including between insect orders, in the evolutionary history of the Wolbachia pandemic. While supergroup A and B genomes had distinct GC% and GC skew, and B genomes had a larger core gene set and tended to be longer, it was the abundance of copies of bacteriophage WO who was a strong determinant of Wolbachia genome size. Mining raw genome data generated for reference genome assemblies is a robust way of identifying and analysing cobiont genomes and giving greater ecological context for their hosts.
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38
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Baltoumas FA, Karatzas E, Paez-Espino D, Venetsianou NK, Aplakidou E, Oulas A, Finn RD, Ovchinnikov S, Pafilis E, Kyrpides NC, Pavlopoulos GA. Exploring microbial functional biodiversity at the protein family level-From metagenomic sequence reads to annotated protein clusters. FRONTIERS IN BIOINFORMATICS 2023; 3:1157956. [PMID: 36959975 PMCID: PMC10029925 DOI: 10.3389/fbinf.2023.1157956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 02/21/2023] [Indexed: 03/06/2023] Open
Abstract
Metagenomics has enabled accessing the genetic repertoire of natural microbial communities. Metagenome shotgun sequencing has become the method of choice for studying and classifying microorganisms from various environments. To this end, several methods have been developed to process and analyze the sequence data from raw reads to end-products such as predicted protein sequences or families. In this article, we provide a thorough review to simplify such processes and discuss the alternative methodologies that can be followed in order to explore biodiversity at the protein family level. We provide details for analysis tools and we comment on their scalability as well as their advantages and disadvantages. Finally, we report the available data repositories and recommend various approaches for protein family annotation related to phylogenetic distribution, structure prediction and metadata enrichment.
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Affiliation(s)
- Fotis A. Baltoumas
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
- *Correspondence: Fotis A. Baltoumas, ; Nikos C. Kyrpides, ; Georgios A. Pavlopoulos,
| | - Evangelos Karatzas
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
| | - David Paez-Espino
- Lawrence Berkeley National Laboratory, DOE Joint Genome Institute, Berkeley, CA, United States
| | - Nefeli K. Venetsianou
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
| | - Eleni Aplakidou
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
| | - Anastasis Oulas
- The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Robert D. Finn
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, United Kingdom
| | - Sergey Ovchinnikov
- John Harvard Distinguished Science Fellowship Program, Harvard University, Cambridge, MA, United States
| | - Evangelos Pafilis
- Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Centre for Marine Research (HCMR), Heraklion, Greece
| | - Nikos C. Kyrpides
- Lawrence Berkeley National Laboratory, DOE Joint Genome Institute, Berkeley, CA, United States
- *Correspondence: Fotis A. Baltoumas, ; Nikos C. Kyrpides, ; Georgios A. Pavlopoulos,
| | - Georgios A. Pavlopoulos
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
- Center of New Biotechnologies and Precision Medicine, Department of Medicine, School of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece
- Hellenic Army Academy, Vari, Greece
- *Correspondence: Fotis A. Baltoumas, ; Nikos C. Kyrpides, ; Georgios A. Pavlopoulos,
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Shanmugasundram A, Starns D, Böhme U, Amos B, Wilkinson PA, Harb OS, Warrenfeltz S, Kissinger JC, McDowell MA, Roos DS, Crouch K, Jones AR. TriTrypDB: An integrated functional genomics resource for kinetoplastida. PLoS Negl Trop Dis 2023; 17:e0011058. [PMID: 36656904 PMCID: PMC9888696 DOI: 10.1371/journal.pntd.0011058] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 01/31/2023] [Accepted: 12/23/2022] [Indexed: 01/20/2023] Open
Abstract
Parasitic diseases caused by kinetoplastid parasites are a burden to public health throughout tropical and subtropical regions of the world. TriTrypDB (https://tritrypdb.org) is a free online resource for data mining of genomic and functional data from these kinetoplastid parasites and is part of the VEuPathDB Bioinformatics Resource Center (https://veupathdb.org). As of release 59, TriTrypDB hosts 83 kinetoplastid genomes, nine of which, including Trypanosoma brucei brucei TREU927, Trypanosoma cruzi CL Brener and Leishmania major Friedlin, undergo manual curation by integrating information from scientific publications, high-throughput assays and user submitted comments. TriTrypDB also integrates transcriptomic, proteomic, epigenomic, population-level and isolate data, functional information from genome-wide RNAi knock-down and fluorescent tagging, and results from automated bioinformatics analysis pipelines. TriTrypDB offers a user-friendly web interface embedded with a genome browser, search strategy system and bioinformatics tools to support custom in silico experiments that leverage integrated data. A Galaxy workspace enables users to analyze their private data (e.g., RNA-sequencing, variant calling, etc.) and explore their results privately in the context of publicly available information in the database. The recent addition of an annotation platform based on Apollo enables users to provide both functional and structural changes that will appear as 'community annotations' immediately and, pending curatorial review, will be integrated into the official genome annotation.
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Affiliation(s)
- Achchuthan Shanmugasundram
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
| | - David Starns
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
| | - Ulrike Böhme
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
| | - Beatrice Amos
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
| | - Paul A. Wilkinson
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
| | - Omar S. Harb
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Susanne Warrenfeltz
- Center for Tropical & Emerging Global Diseases, Department of Genetics, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America
| | - Jessica C. Kissinger
- Center for Tropical & Emerging Global Diseases, Department of Genetics, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America
| | - Mary Ann McDowell
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America
| | - David S. Roos
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Kathryn Crouch
- School of Infection and Immunity, University of Glasgow, Glasgow, United Kingdom
| | - Andrew R. Jones
- Department of Biochemistry and Systems Biology, Institute of Integrative, Systems and Molecular Biology, University of Liverpool, Liverpool, United Kingdom
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Silva JM, Qi W, Pinho AJ, Pratas D. AlcoR: alignment-free simulation, mapping, and visualization of low-complexity regions in biological data. Gigascience 2022; 12:giad101. [PMID: 38091509 PMCID: PMC10716826 DOI: 10.1093/gigascience/giad101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/29/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Low-complexity data analysis is the area that addresses the search and quantification of regions in sequences of elements that contain low-complexity or repetitive elements. For example, these can be tandem repeats, inverted repeats, homopolymer tails, GC-biased regions, similar genes, and hairpins, among many others. Identifying these regions is crucial because of their association with regulatory and structural characteristics. Moreover, their identification provides positional and quantity information where standard assembly methodologies face significant difficulties because of substantial higher depth coverage (mountains), ambiguous read mapping, or where sequencing or reconstruction defects may occur. However, the capability to distinguish low-complexity regions (LCRs) in genomic and proteomic sequences is a challenge that depends on the model's ability to find them automatically. Low-complexity patterns can be implicit through specific or combined sources, such as algorithmic or probabilistic, and recurring to different spatial distances-namely, local, medium, or distant associations. FINDINGS This article addresses the challenge of automatically modeling and distinguishing LCRs, providing a new method and tool (AlcoR) for efficient and accurate segmentation and visualization of these regions in genomic and proteomic sequences. The method enables the use of models with different memories, providing the ability to distinguish local from distant low-complexity patterns. The method is reference and alignment free, providing additional methodologies for testing, including a highly flexible simulation method for generating biological sequences (DNA or protein) with different complexity levels, sequence masking, and a visualization tool for automatic computation of the LCR maps into an ideogram style. We provide illustrative demonstrations using synthetic, nearly synthetic, and natural sequences showing the high efficiency and accuracy of AlcoR. As large-scale results, we use AlcoR to unprecedentedly provide a whole-chromosome low-complexity map of a recent complete human genome and the haplotype-resolved chromosome pairs of a heterozygous diploid African cassava cultivar. CONCLUSIONS The AlcoR method provides the ability of fast sequence characterization through data complexity analysis, ideally for scenarios entangling the presence of new or unknown sequences. AlcoR is implemented in C language using multithreading to increase the computational speed, is flexible for multiple applications, and does not contain external dependencies. The tool accepts any sequence in FASTA format. The source code is freely provided at https://github.com/cobilab/alcor.
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Affiliation(s)
- Jorge M Silva
- IEETA, Institute of Electronics and Informatics Engineering of Aveiro, and LASI, Intelligent Systems Associate Laboratory, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
- Department of Electronics Telecommunications and Informatics, University of Aveiro, Campus Universitario de Santiago, 3810-193, Aveiro, Portugal
| | - Weihong Qi
- Functional Genomics Center Zurich, ETH Zurich and University of Zurich, Winterthurerstrasse, 190, 8057, Zurich, Switzerland
- SIB, Swiss Institute of Bioinformatics, 1202, Geneva, Switzerland
| | - Armando J Pinho
- IEETA, Institute of Electronics and Informatics Engineering of Aveiro, and LASI, Intelligent Systems Associate Laboratory, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
- Department of Electronics Telecommunications and Informatics, University of Aveiro, Campus Universitario de Santiago, 3810-193, Aveiro, Portugal
| | - Diogo Pratas
- IEETA, Institute of Electronics and Informatics Engineering of Aveiro, and LASI, Intelligent Systems Associate Laboratory, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
- Department of Electronics Telecommunications and Informatics, University of Aveiro, Campus Universitario de Santiago, 3810-193, Aveiro, Portugal
- Department of Virology, University of Helsinki, Haartmaninkatu, 3, 00014 Helsinki, Finland
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Abstract
Mutations in genes that confer a selective advantage to hematopoietic stem cells (HSCs) drive clonal hematopoiesis (CH). While some CH drivers have been identified, the compendium of all genes able to drive CH upon mutations in HSCs remains incomplete. Exploiting signals of positive selection in blood somatic mutations may be an effective way to identify CH driver genes, analogously to cancer. Using the tumor sample in blood/tumor pairs as reference, we identify blood somatic mutations across more than 12,000 donors from two large cancer genomics cohorts. The application of IntOGen, a driver discovery pipeline, to both cohorts, and more than 24,000 targeted sequenced samples yields a list of close to 70 genes with signals of positive selection in CH, available at http://www.intogen.org/ch. This approach recovers known CH genes, and discovers other candidates. Identifying the genetic drivers of clonal haematopoiesis (CH) has been challenging due to their low frequencies and a lack of adequate tools. Here, the authors use a reverse calling to detect blood somatic mutations and the IntOGen pipeline to identify CH drivers in large cancer genomics data sets based on signals of positive selection.
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42
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Bolton KL, Chen D, Corona de la Fuente R, Fu Z, Murali R, Köbel M, Tazi Y, Cunningham JM, Chan IC, Wiley BJ, Moukarzel LA, Winham SJ, Armasu SM, Lester J, Elishaev E, Laslavic A, Kennedy CJ, Piskorz A, Sekowska M, Brand AH, Chiew YE, Pharoah P, Elias KM, Drapkin R, Churchman M, Gourley C, DeFazio A, Karlan B, Brenton JD, Weigelt B, Anglesio MS, Huntsman D, Gayther S, Konner J, Modugno F, Lawrenson K, Goode EL, Papaemmanuil E. Molecular Subclasses of Clear Cell Ovarian Carcinoma and Their Impact on Disease Behavior and Outcomes. Clin Cancer Res 2022; 28:4947-4956. [PMID: 35816189 PMCID: PMC9777703 DOI: 10.1158/1078-0432.ccr-21-3817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 02/24/2022] [Accepted: 07/07/2022] [Indexed: 01/07/2023]
Abstract
PURPOSE To identify molecular subclasses of clear cell ovarian carcinoma (CCOC) and assess their impact on clinical presentation and outcomes. EXPERIMENTAL DESIGN We profiled 421 primary CCOCs that passed quality control using a targeted deep sequencing panel of 163 putative CCOC driver genes and whole transcriptome sequencing of 211 of these tumors. Molecularly defined subgroups were identified and tested for association with clinical characteristics and overall survival. RESULTS We detected a putative somatic driver mutation in at least one candidate gene in 95% (401/421) of CCOC tumors including ARID1A (in 49% of tumors), PIK3CA (49%), TERT (20%), and TP53 (16%). Clustering of cancer driver mutations and RNA expression converged upon two distinct subclasses of CCOC. The first was dominated by ARID1A-mutated tumors with enriched expression of canonical CCOC genes and markers of platinum resistance; the second was largely comprised of tumors with TP53 mutations and enriched for the expression of genes involved in extracellular matrix organization and mesenchymal differentiation. Compared with the ARID1A-mutated group, women with TP53-mutated tumors were more likely to have advanced-stage disease, no antecedent history of endometriosis, and poorer survival, driven by their advanced stage at presentation. In women with ARID1A-mutated tumors, there was a trend toward a lower rate of response to first-line platinum-based therapy. CONCLUSIONS Our study suggests that CCOC consists of two distinct molecular subclasses with distinct clinical presentation and outcomes, with potential relevance to both traditional and experimental therapy responsiveness. See related commentary by Lheureux, p. 4838.
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Affiliation(s)
- Kelly L. Bolton
- Washington University School of Medicine, St. Louis, Missouri
| | - Denise Chen
- Philadelphia College of Osteopathic Medicine, Philadelphia, Pennsylvania
| | | | - Zhuxuan Fu
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania
| | | | - Martin Köbel
- The University of Calgary, Calgary, Alberta, Canada
| | - Yanis Tazi
- Memorial Sloan-Kettering Cancer Center, New York, New York
| | | | | | - Brian J. Wiley
- Washington University School of Medicine, St. Louis, Missouri
| | | | | | | | - Jenny Lester
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, California
| | - Esther Elishaev
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania
| | - Angela Laslavic
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania
| | - Catherine J. Kennedy
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, New South Wales, Australia
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, New South Wales, Australia
| | - Anna Piskorz
- University of Cambridge, Cambridge, United Kingdom
| | | | - Alison H. Brand
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Yoke-Eng Chiew
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, New South Wales, Australia
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, New South Wales, Australia
| | - Paul Pharoah
- University of Cambridge, Cambridge, United Kingdom
| | | | - Ronny Drapkin
- University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | - Anna DeFazio
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, New South Wales, Australia
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, New South Wales, Australia
| | - Beth Karlan
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, California
| | | | - Britta Weigelt
- Memorial Sloan-Kettering Cancer Center, New York, New York
| | | | - David Huntsman
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Simon Gayther
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Jason Konner
- Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Francesmary Modugno
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania
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Neri U, Wolf YI, Roux S, Camargo AP, Lee B, Kazlauskas D, Chen IM, Ivanova N, Zeigler Allen L, Paez-Espino D, Bryant DA, Bhaya D, Krupovic M, Dolja VV, Kyrpides NC, Koonin EV, Gophna U. Expansion of the global RNA virome reveals diverse clades of bacteriophages. Cell 2022; 185:4023-4037.e18. [PMID: 36174579 DOI: 10.1016/j.cell.2022.08.023] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/16/2022] [Accepted: 08/24/2022] [Indexed: 01/26/2023]
Abstract
High-throughput RNA sequencing offers broad opportunities to explore the Earth RNA virome. Mining 5,150 diverse metatranscriptomes uncovered >2.5 million RNA virus contigs. Analysis of >330,000 RNA-dependent RNA polymerases (RdRPs) shows that this expansion corresponds to a 5-fold increase of the known RNA virus diversity. Gene content analysis revealed multiple protein domains previously not found in RNA viruses and implicated in virus-host interactions. Extended RdRP phylogeny supports the monophyly of the five established phyla and reveals two putative additional bacteriophage phyla and numerous putative additional classes and orders. The dramatically expanded phylum Lenarviricota, consisting of bacterial and related eukaryotic viruses, now accounts for a third of the RNA virome. Identification of CRISPR spacer matches and bacteriolytic proteins suggests that subsets of picobirnaviruses and partitiviruses, previously associated with eukaryotes, infect prokaryotic hosts.
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Affiliation(s)
- Uri Neri
- The Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv 6997801, Israel.
| | - Yuri I Wolf
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Simon Roux
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Antonio Pedro Camargo
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Benjamin Lee
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - Darius Kazlauskas
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekio av. 7, Vilnius 10257, Lithuania
| | - I Min Chen
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Natalia Ivanova
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Lisa Zeigler Allen
- Microbial and Environmental Genomics, J. Craig Venter Institute, La Jolla, CA, USA; Marine Biology Research Division, Scripps Institution of Oceanography, La Jolla, CA, USA
| | - David Paez-Espino
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Donald A Bryant
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Devaki Bhaya
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94305, USA
| | - Mart Krupovic
- Institut Pasteur, Université Paris Cité, CNRS UMR 6047, Archaeal Virology Unit, 75015 Paris, France
| | - Valerian V Dolja
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA.
| | - Nikos C Kyrpides
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
| | - Eugene V Koonin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
| | - Uri Gophna
- The Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv 6997801, Israel.
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Genomic adaptation of the picoeukaryote Pelagomonas calceolata to iron-poor oceans revealed by a chromosome-scale genome sequence. Commun Biol 2022; 5:983. [PMID: 36114260 PMCID: PMC9481584 DOI: 10.1038/s42003-022-03939-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 09/02/2022] [Indexed: 11/13/2022] Open
Abstract
The smallest phytoplankton species are key actors in oceans biogeochemical cycling and their abundance and distribution are affected with global environmental changes. Among them, algae of the Pelagophyceae class encompass coastal species causative of harmful algal blooms while others are cosmopolitan and abundant. The lack of genomic reference in this lineage is a main limitation to study its ecological importance. Here, we analysed Pelagomonas calceolata relative abundance, ecological niche and potential for the adaptation in all oceans using a complete chromosome-scale assembled genome sequence. Our results show that P. calceolata is one of the most abundant eukaryotic species in the oceans with a relative abundance favoured by high temperature, low-light and iron-poor conditions. Climate change projections based on its relative abundance suggest an extension of the P. calceolata habitat toward the poles at the end of this century. Finally, we observed a specific gene repertoire and expression level variations potentially explaining its ecological success in low-iron and low-nitrate environments. Collectively, these findings reveal the ecological importance of P. calceolata and lay the foundation for a global scale analysis of the adaptation and acclimation strategies of this small phytoplankton in a changing environment. Genomic inference reveals potential climate change-driven range expansion of the phytoplankton species Pelagomonas calceolata.
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Saini NY, Swoboda DM, Greenbaum U, Ma J, Patel RD, Devashish K, Das K, Tanner MR, Strati P, Nair R, Fayad L, Ahmed S, Lee HJ, Iyer SP, Steiner R, Jain N, Nastoupil L, Loghavi S, Tang G, Bassett RL, Jain P, Wang M, Westin JR, Green MR, Sallman DA, Padron E, Davila ML, Locke FL, Champlin RE, Garcia-Manero G, Shpall EJ, Kebriaei P, Flowers CR, Jain MD, Wang F, Futreal AP, Gillis N, Neelapu SS, Takahashi K. Clonal Hematopoiesis Is Associated with Increased Risk of Severe Neurotoxicity in Axicabtagene Ciloleucel Therapy of Large B-Cell Lymphoma. Blood Cancer Discov 2022; 3:385-393. [PMID: 35533245 PMCID: PMC9445749 DOI: 10.1158/2643-3230.bcd-21-0177] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 02/10/2022] [Accepted: 05/05/2022] [Indexed: 11/16/2022] Open
Abstract
To explore the role of clonal hematopoiesis (CH) in chimeric antigen receptor (CAR) T-cell therapy outcomes, we performed targeted deep sequencing on buffy coats collected during the 21 days before lymphodepleting chemotherapy from 114 large B-cell lymphoma patients treated with anti-CD19 CAR T cells. We detected CH in 42 (36.8%) pretreatment samples, most frequently in PPM1D (19/114) and TP53 (13/114) genes. Grade ≥3 immune effector cell-associated neurotoxicity syndrome (ICANS) incidence was higher in CH-positive patients than CH-negative patients (45.2% vs. 25.0%, P = 0.038). Higher toxicities with CH were primarily associated with DNMT3A, TET2, and ASXL1 genes (DTA mutations). Grade ≥3 ICANS (58.9% vs. 25%, P = 0.02) and ≥3 cytokine release syndrome (17.7% vs. 4.2%, P = 0.08) incidences were higher in DTA-positive than in CH-negative patients. The estimated 24-month cumulative incidence of therapy-related myeloid neoplasms after CAR T-cell therapy was higher in CH-positive than CH-negative patients [19% (95% CI, 5.5-38.7) vs. 4.2% (95% CI, 0.3-18.4), P = 0.028]. SIGNIFICANCE Our study reveals that CH mutations, especially those associated with inflammation (DNMT3A, TET2, and ASXL1), are associated with severe-grade neurotoxicities in lymphoma patients receiving anti-CD19 CAR T-cell therapy. Further studies to investigate the mechanisms and interventions to improve toxicities in the context of CH are warranted. See related content by Uslu and June, p. 382. This article is highlighted in the In This Issue feature, p. 369.
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Affiliation(s)
- Neeraj Y. Saini
- Department of Stem Cell Transplantation and Cellular Therapy, The University
of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - David M. Swoboda
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa,
Florida
| | - Uri Greenbaum
- Department of Stem Cell Transplantation and Cellular Therapy, The University
of Texas MD Anderson Cancer Center, Houston, Texas
| | - Junsheng Ma
- Department of Biostatistics, The University of Texas MD Anderson Cancer
Center, Houston, Texas
| | - Romil D. Patel
- Department of Stem Cell Transplantation and Cellular Therapy, The University
of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kartik Devashish
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Kaberi Das
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Mark R. Tanner
- Department of Stem Cell Transplantation and Cellular Therapy, The University
of Texas MD Anderson Cancer Center, Houston, Texas
| | - Paolo Strati
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Ranjit Nair
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Luis Fayad
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Sairah Ahmed
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Hun Ju Lee
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Swaminathan P. Iyer
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Raphael Steiner
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Nitin Jain
- Department of Leukemia, The University of Texas MD Anderson Cancer Center,
Houston, Texas
| | - Loretta Nastoupil
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Sanam Loghavi
- Department of Hematopathology, The University of Texas MD Anderson Cancer
Center, Houston, Texas
| | - Guilin Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer
Center, Houston, Texas
| | - Roland L. Bassett
- Department of Biostatistics, The University of Texas MD Anderson Cancer
Center, Houston, Texas
| | - Preetesh Jain
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Michael Wang
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Jason R. Westin
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Michael R. Green
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - David A. Sallman
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa,
Florida
| | - Eric Padron
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa,
Florida
| | - Marco L. Davila
- Department of Blood and Marrow Transplant and Cellular Immunotherapy,
Moffitt Cancer Center, Tampa, Florida
| | - Frederick L. Locke
- Department of Blood and Marrow Transplant and Cellular Immunotherapy,
Moffitt Cancer Center, Tampa, Florida
| | - Richard E. Champlin
- Department of Stem Cell Transplantation and Cellular Therapy, The University
of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Elizabeth J. Shpall
- Department of Stem Cell Transplantation and Cellular Therapy, The University
of Texas MD Anderson Cancer Center, Houston, Texas
| | - Partow Kebriaei
- Department of Stem Cell Transplantation and Cellular Therapy, The University
of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christopher R. Flowers
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Michael D. Jain
- Department of Blood and Marrow Transplant and Cellular Immunotherapy,
Moffitt Cancer Center, Tampa, Florida
| | - Feng Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer
Center, Houston, Texas
| | - Andrew P. Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer
Center, Houston, Texas
| | - Nancy Gillis
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa,
Florida
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa,
Florida
| | - Sattva S. Neelapu
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson
Cancer Center, Houston, Texas
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center,
Houston, Texas
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer
Center, Houston, Texas
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Eleftheriou E, Aury JM, Vacherie B, Istace B, Belser C, Noel B, Moret Y, Rigaud T, Berro F, Gasparian S, Labadie-Bretheau K, Lefebvre T, Madoui MA. Chromosome-scale assembly of the yellow mealworm genome. OPEN RESEARCH EUROPE 2022; 1:94. [PMID: 37645128 PMCID: PMC10445852 DOI: 10.12688/openreseurope.13987.2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/30/2022] [Indexed: 03/12/2024]
Abstract
Background: The yellow mealworm beetle, Tenebrio molitor, is a promising alternative protein source for animal and human nutrition and its farming involves relatively low environmental costs. For these reasons, its industrial scale production started this century. However, to optimize and breed sustainable new T. molitor lines, the access to its genome remains essential. Methods: By combining Oxford Nanopore and Illumina Hi-C data, we constructed a high-quality chromosome-scale assembly of T. molitor. Then, we combined RNA-seq data and available coleoptera proteomes for gene prediction with GMOVE. Results: We produced a high-quality genome with a N50 = 21.9Mb with a completeness of 99.5% and predicted 21,435 genes with a median size of 1,780 bp. Gene orthology between T. molitor and Tribolium castaneum showed a highly conserved synteny between the two coleoptera and paralogs search revealed an expansion of histones in the T. molitor genome. Conclusions: The present genome will greatly help fundamental and applied research such as genetic breeding and will contribute to the sustainable production of the yellow mealworm.
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Affiliation(s)
- Evangelia Eleftheriou
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
| | - Jean-Marc Aury
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
| | - Benoît Vacherie
- Genoscope, Institut de biologie François Jacob, CEA, Université Paris‐Saclay, Evry, 91057, France
| | - Benjamin Istace
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
| | - Caroline Belser
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
| | - Benjamin Noel
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
| | - Yannick Moret
- Équipe Écologie Évolutive, UMR CNRS 6282 BioGéoSciences, Université de Bourgogne Franche-Comté, Dijon, 21000, France
| | - Thierry Rigaud
- Équipe Écologie Évolutive, UMR CNRS 6282 BioGéoSciences, Université de Bourgogne Franche-Comté, Dijon, 21000, France
| | | | | | - Karine Labadie-Bretheau
- Genoscope, Institut de biologie François Jacob, CEA, Université Paris‐Saclay, Evry, 91057, France
| | | | - Mohammed-Amin Madoui
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
- Équipe Écologie Évolutive, UMR CNRS 6282 BioGéoSciences, Université de Bourgogne Franche-Comté, Dijon, 21000, France
- Service d’Etude des Prions et des Infections Atypiques (SEPIA), Institut François Jacob, Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), Université Paris Saclay, Fontenay-aux-Roses, France
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Eleftheriou E, Aury JM, Vacherie B, Istace B, Belser C, Noel B, Moret Y, Rigaud T, Berro F, Gasparian S, Labadie-Bretheau K, Lefebvre T, Madoui MA. Chromosome-scale assembly of the yellow mealworm genome. OPEN RESEARCH EUROPE 2022; 1:94. [PMID: 37645128 PMCID: PMC10445852 DOI: 10.12688/openreseurope.13987.3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/30/2022] [Indexed: 08/31/2023]
Abstract
Background: The yellow mealworm beetle, Tenebrio molitor, is a promising alternative protein source for animal and human nutrition and its farming involves relatively low environmental costs. For these reasons, its industrial scale production started this century. However, to optimize and breed sustainable new T. molitor lines, the access to its genome remains essential. Methods: By combining Oxford Nanopore and Illumina Hi-C data, we constructed a high-quality chromosome-scale assembly of T. molitor. Then, we combined RNA-seq data and available coleoptera proteomes for gene prediction with GMOVE. Results: We produced a high-quality genome with a N50 = 21.9Mb with a completeness of 99.5% and predicted 21,435 genes with a median size of 1,780 bp. Gene orthology between T. molitor and Tribolium castaneum showed a highly conserved synteny between the two coleoptera and paralogs search revealed an expansion of histones in the T. molitor genome. Conclusions: The present genome will greatly help fundamental and applied research such as genetic breeding and will contribute to the sustainable production of the yellow mealworm.
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Affiliation(s)
- Evangelia Eleftheriou
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
| | - Jean-Marc Aury
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
| | - Benoît Vacherie
- Genoscope, Institut de biologie François Jacob, CEA, Université Paris‐Saclay, Evry, 91057, France
| | - Benjamin Istace
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
| | - Caroline Belser
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
| | - Benjamin Noel
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
| | - Yannick Moret
- Équipe Écologie Évolutive, UMR CNRS 6282 BioGéoSciences, Université de Bourgogne Franche-Comté, Dijon, 21000, France
| | - Thierry Rigaud
- Équipe Écologie Évolutive, UMR CNRS 6282 BioGéoSciences, Université de Bourgogne Franche-Comté, Dijon, 21000, France
| | | | | | - Karine Labadie-Bretheau
- Genoscope, Institut de biologie François Jacob, CEA, Université Paris‐Saclay, Evry, 91057, France
| | | | - Mohammed-Amin Madoui
- Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), CNRS, Univ Evry, Université Paris-Saclay, Université Paris-Saclay, Evry, 91057, France
- Équipe Écologie Évolutive, UMR CNRS 6282 BioGéoSciences, Université de Bourgogne Franche-Comté, Dijon, 21000, France
- Service d’Etude des Prions et des Infections Atypiques (SEPIA), Institut François Jacob, Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), Université Paris Saclay, Fontenay-aux-Roses, France
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Ferchiou S, Caza F, de Boissel PGJ, Villemur R, St-Pierre Y. Applying the concept of liquid biopsy to monitor the microbial biodiversity of marine coastal ecosystems. ISME COMMUNICATIONS 2022; 2:61. [PMID: 37938655 PMCID: PMC9723566 DOI: 10.1038/s43705-022-00145-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 06/28/2022] [Accepted: 07/08/2022] [Indexed: 10/04/2023]
Abstract
Liquid biopsy (LB) is a concept that is rapidly gaining ground in the biomedical field. Its concept is largely based on the detection of circulating cell-free DNA (ccfDNA) fragments that are mostly released as small fragments following cell death in various tissues. A small percentage of these fragments are from foreign (nonself) tissues or organisms. In the present work, we applied this concept to mussels, a sentinel species known for its high filtration capacity of seawater. We exploited the capacity of mussels to be used as natural filters to capture environmental DNA fragments of different origins to provide information on the biodiversity of marine coastal ecosystems. Our results showed that hemolymph of mussels contains DNA fragments that varied considerably in size, ranging from 1 to 5 kb. Shotgun sequencing revealed that a significant amount of DNA fragments had a nonself microbial origin. Among these, we found DNA fragments derived from bacteria, archaea, and viruses, including viruses known to infect a variety of hosts that commonly populate coastal marine ecosystems. Taken together, our study shows that the concept of LB applied to mussels provides a rich and yet unexplored source of knowledge regarding the microbial biodiversity of a marine coastal ecosystem.
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Affiliation(s)
- Sophia Ferchiou
- INRS-Centre Armand-Frappier Santé Biotechnologie, Laval, Québec, H7V 1B7, Canada
| | - France Caza
- INRS-Centre Armand-Frappier Santé Biotechnologie, Laval, Québec, H7V 1B7, Canada
| | | | - Richard Villemur
- INRS-Centre Armand-Frappier Santé Biotechnologie, Laval, Québec, H7V 1B7, Canada
| | - Yves St-Pierre
- INRS-Centre Armand-Frappier Santé Biotechnologie, Laval, Québec, H7V 1B7, Canada.
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Athanasouli M, Rödelsperger C. Analysis of repeat elements in the Pristionchus pacificus genome reveals an ancient invasion by horizontally transferred transposons. BMC Genomics 2022; 23:523. [PMID: 35854227 PMCID: PMC9297572 DOI: 10.1186/s12864-022-08731-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/01/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Repetitive sequences and mobile elements make up considerable fractions of individual genomes. While transposition events can be detrimental for organismal fitness, repetitive sequences form an enormous reservoir for molecular innovation. In this study, we aim to add repetitive elements to the annotation of the Pristionchus pacificus genome and assess their impact on novel gene formation. RESULTS Different computational approaches define up to 24% of the P. pacificus genome as repetitive sequences. While retroelements are more frequently found at the chromosome arms, DNA transposons are distributed more evenly. We found multiple DNA transposons, as well as LTR and LINE elements with abundant evidence of expression as single-exon transcripts. When testing whether transposons disproportionately contribute towards new gene formation, we found that roughly 10-20% of genes across all age classes overlap transposable elements with the strongest trend being an enrichment of low complexity regions among the oldest genes. Finally, we characterized a horizontal gene transfer of Zisupton elements into diplogastrid nematodes. These DNA transposons invaded nematodes from eukaryotic donor species and experienced a recent burst of activity in the P. pacificus lineage. CONCLUSIONS The comprehensive annotation of repetitive elements in the P. pacificus genome builds a resource for future functional genomic analyses as well as for more detailed investigations of molecular innovations.
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Affiliation(s)
- Marina Athanasouli
- Max Planck Institute for Biology, Department for Integrative Evolutionary Biology, Max-Planck-Ring 9, 72076, Tübingen, Germany
| | - Christian Rödelsperger
- Max Planck Institute for Biology, Department for Integrative Evolutionary Biology, Max-Planck-Ring 9, 72076, Tübingen, Germany.
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Privitera GF, Alaimo S, Ferro A, Pulvirenti A. Virus finding tools: current solutions and limitations. Brief Bioinform 2022; 23:6618234. [PMID: 35753694 DOI: 10.1093/bib/bbac235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 05/02/2022] [Accepted: 05/20/2022] [Indexed: 11/13/2022] Open
Abstract
MOTIVATION The study of the Human Virome remains challenging nowadays. Viral metagenomics, through high-throughput sequencing data, is the best choice for virus discovery. The metagenomics approach is culture-independent and sequence-independent, helping search for either known or novel viruses. Though it is estimated that more than 40% of the viruses found in metagenomics analysis are not recognizable, we decided to analyze several tools to identify and discover viruses in RNA-seq samples. RESULTS We have analyzed eight Virus Tools for the identification of viruses in RNA-seq data. These tools were compared using a synthetic dataset of 30 viruses and a real one. Our analysis shows that no tool succeeds in recognizing all the viruses in the datasets. So we can conclude that each of these tools has pros and cons, and their choice depends on the application domain. AVAILABILITY Synthetic data used through the review and raw results of their analysis can be found at https://zenodo.org/record/6426147. FASTQ files of real data can be found in GEO (https://www.ncbi.nlm.nih.gov/gds) or ENA (https://www.ebi.ac.uk/ena/browser/home). Raw results of their analysis can be downloaded from https://zenodo.org/record/6425917.
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Affiliation(s)
- Grete Francesca Privitera
- Department of Physics and Astronomy, University of Catania, Viale A. Doria, 6, 95125, Catania, Italy
| | - Salvatore Alaimo
- Department of Clinical and Experimental Medicine, University of Catania, c/o Dept. of Math. and Comp. Science Viale A. Doria, 6, 95125, Catania, Italy
| | - Alfredo Ferro
- Department of Clinical and Experimental Medicine, University of Catania, c/o Dept. of Math. and Comp. Science Viale A. Doria, 6, 95125, Catania, Italy
| | - Alfredo Pulvirenti
- Department of Clinical and Experimental Medicine, University of Catania, c/o Dept. of Math. and Comp. Science Viale A. Doria, 6, 95125, Catania, Italy
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