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REINKE ANNIKA, TIZABI MINUD, BAUMGARTNER MICHAEL, EISENMANN MATTHIAS, HECKMANN-NÖTZEL DOREEN, KAVUR AEMRE, RÄDSCH TIM, SUDRE CAROLEH, ACION LAURA, ANTONELLI MICHELA, ARBEL TAL, BAKAS SPYRIDON, BENIS ARRIEL, BLASCHKO MATTHEWB, BUETTNER FLORIAN, CARDOSO MJORGE, CHEPLYGINA VERONIKA, CHEN JIANXU, CHRISTODOULOU EVANGELIA, CIMINI BETHA, COLLINS GARYS, FARAHANI KEYVAN, FERRER LUCIANA, GALDRAN ADRIAN, VAN GINNEKEN BRAM, GLOCKER BEN, GODAU PATRICK, HAASE ROBERT, HASHIMOTO DANIELA, HOFFMAN MICHAELM, HUISMAN MEREL, ISENSEE FABIAN, JANNIN PIERRE, KAHN CHARLESE, KAINMUELLER DAGMAR, KAINZ BERNHARD, KARARGYRIS ALEXANDROS, KARTHIKESALINGAM ALAN, KENNGOTT HANNES, KLEESIEK JENS, KOFLER FLORIAN, KOOI THIJS, KOPP-SCHNEIDER ANNETTE, KOZUBEK MICHAL, KRESHUK ANNA, KURC TAHSIN, LANDMAN BENNETTA, LITJENS GEERT, MADANI AMIN, MAIER-HEIN KLAUS, MARTEL ANNEL, MATTSON PETER, MEIJERING ERIK, MENZE BJOERN, MOONS KARELG, MÜLLER HENNING, NICHYPORUK BRENNAN, NICKEL FELIX, PETERSEN JENS, RAFELSKI SUSANNEM, RAJPOOT NASIR, REYES MAURICIO, RIEGLER MICHAELA, RIEKE NICOLA, SAEZ-RODRIGUEZ JULIO, SÁNCHEZ CLARAI, SHETTY SHRAVYA, SUMMERS RONALDM, TAHA ABDELA, TIULPIN ALEKSEI, TSAFTARIS SOTIRIOSA, VAN CALSTER BEN, VAROQUAUX GAËL, YANIV ZIVR, JÄGER PAULF, MAIER-HEIN LENA. Understanding metric-related pitfalls in image analysis validation. ARXIV 2024:arXiv:2302.01790v4. [PMID: 36945687 PMCID: PMC10029046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation into practice. However, increasing evidence shows that particularly in image analysis, metrics are often chosen inadequately in relation to the underlying research problem. This could be attributed to a lack of accessibility of metric-related knowledge: While taking into account the individual strengths, weaknesses, and limitations of validation metrics is a critical prerequisite to making educated choices, the relevant knowledge is currently scattered and poorly accessible to individual researchers. Based on a multi-stage Delphi process conducted by a multidisciplinary expert consortium as well as extensive community feedback, the present work provides the first reliable and comprehensive common point of access to information on pitfalls related to validation metrics in image analysis. Focusing on biomedical image analysis but with the potential of transfer to other fields, the addressed pitfalls generalize across application domains and are categorized according to a newly created, domain-agnostic taxonomy. To facilitate comprehension, illustrations and specific examples accompany each pitfall. As a structured body of information accessible to researchers of all levels of expertise, this work enhances global comprehension of a key topic in image analysis validation.
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Affiliation(s)
- ANNIKA REINKE
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems and HI Helmholtz Imaging, Germany and Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
| | - MINU D. TIZABI
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Germany and National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Germany
| | - MICHAEL BAUMGARTNER
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany
| | - MATTHIAS EISENMANN
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Germany
| | - DOREEN HECKMANN-NÖTZEL
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Germany and National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Germany
| | - A. EMRE KAVUR
- HI Applied Computer Vision Lab, Division of Medical Image Computing; German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Germany
| | - TIM RÄDSCH
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems and HI Helmholtz Imaging, Germany
| | - CAROLE H. SUDRE
- MRC Unit for Lifelong Health and Ageing at UCL and Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK and School of Biomedical Engineering and Imaging Science, King’s College London, London, UK
| | - LAURA ACION
- Instituto de Cálculo, CONICET – Universidad de Buenos Aires, Buenos Aires, Argentina
| | - MICHELA ANTONELLI
- School of Biomedical Engineering and Imaging Science, King’s College London, London, UK and Centre for Medical Image Computing, University College London, London, UK
| | - TAL ARBEL
- Centre for Intelligent Machines and MILA (Quebec Artificial Intelligence Institute), McGill University, Montreal, Canada
| | - SPYRIDON BAKAS
- Division of Computational Pathology, Dept of Pathology & Laboratory Medicine, Indiana University School of Medicine, IU Health Information and Translational Sciences Building, Indianapolis, USA and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Richards Medical Research Laboratories FL7, Philadelphia, PA, USA
| | - ARRIEL BENIS
- Department of Digital Medical Technologies, Holon Institute of Technology, Holon, Israel and European Federation for Medical Informatics, Le Mont-sur-Lausanne, Switzerland
| | - MATTHEW B. BLASCHKO
- Center for Processing Speech and Images, Department of Electrical Engineering, KU Leuven, Leuven, Belgium
| | - FLORIAN BUETTNER
- German Cancer Consortium (DKTK), partner site Frankfurt/Mainz, a partnership between DKFZ and UCT Frankfurt-Marburg, Germany, German Cancer Research Center (DKFZ) Heidelberg, Germany, Goethe University Frankfurt, Department of Medicine, Germany, Goethe University Frankfurt, Department of Informatics, Germany, and Frankfurt Cancer Insititute, Germany
| | - M. JORGE CARDOSO
- School of Biomedical Engineering and Imaging Science, King’s College London, London, UK
| | - VERONIKA CHEPLYGINA
- Department of Computer Science, IT University of Copenhagen, Copenhagen, Denmark
| | - JIANXU CHEN
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany
| | - EVANGELIA CHRISTODOULOU
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Germany
| | - BETH A. CIMINI
- Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - GARY S. COLLINS
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - KEYVAN FARAHANI
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, MD, USA
| | - LUCIANA FERRER
- Instituto de Investigación en Ciencias de la Computación (ICC), CONICET-UBA, Ciudad Universitaria, Ciudad Autónoma de Buenos Aires, Argentina
| | - ADRIAN GALDRAN
- Universitat Pompeu Fabra, Barcelona, Spain and University of Adelaide, Adelaide, Australia
| | - BRAM VAN GINNEKEN
- Fraunhofer MEVIS, Bremen, Germany and Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - BEN GLOCKER
- Department of Computing, Imperial College London, London, UK
| | - PATRICK GODAU
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Germany, Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany, and National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Germany
| | - ROBERT HAASE
- Now with: Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig University, Leipzig, Germany, DFG Cluster of Excellence “Physics of Life”, Technische Universität (TU) Dresden, Dresden, Germany, and Center for Systems Biology , Dresden, Germany
| | - DANIEL A. HASHIMOTO
- Department of Surgery, Perelman School of Medicine, Philadelphia, PA, USA and General Robotics Automation Sensing and Perception Laboratory, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - MICHAEL M. HOFFMAN
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada, Department of Medical Biophysics, University of Toronto, Toronto, Canada, Department of Computer Science, University of Toronto, Toronto, Canada, and Vector Institute for Artificial Intelligence, Toronto, Canada
| | - MEREL HUISMAN
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - FABIAN ISENSEE
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing and HI Applied Computer Vision Lab, Germany
| | - PIERRE JANNIN
- Laboratoire Traitement du Signal et de l’Image – UMR_S 1099, Université de Rennes 1, Rennes, France and INSERM, Paris Cedex, France
| | - CHARLES E. KAHN
- Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - DAGMAR KAINMUELLER
- Max-Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Biomedical Image Analysis and HI Helmholtz Imaging, Berlin, Germany and University of Potsdam, Digital Engineering Faculty, Potsdam, Germany
| | - BERNHARD KAINZ
- Department of Computing, Faculty of Engineering, Imperial College London, London, UK and Department AIBE, Friedrich-Alexander-Universität (FAU), Erlangen-Nürnberg, Germany
| | | | | | - HANNES KENNGOTT
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - JENS KLEESIEK
- Translational Image-guided Oncology (TIO), Institute for AI in Medicine (IKIM), University Medicine Essen, Essen, Germany
| | | | | | | | - MICHAL KOZUBEK
- Centre for Biomedical Image Analysis and Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - ANNA KRESHUK
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - TAHSIN KURC
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | | | - GEERT LITJENS
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - AMIN MADANI
- Department of Surgery, University Health Network, Philadelphia, PA, Canada
| | - KLAUS MAIER-HEIN
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing and HI Helmholtz Imaging, Germany and Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - ANNE L. MARTEL
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada and Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | | | - ERIK MEIJERING
- School of Computer Science and Engineering, University of New South Wales, Sydney, Australia
| | - BJOERN MENZE
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - KAREL G.M. MOONS
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, The Netherlands
| | - HENNING MÜLLER
- Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland and Medical Faculty, University of Geneva, Geneva, Switzerland
| | | | - FELIX NICKEL
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - JENS PETERSEN
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany
| | | | - NASIR RAJPOOT
- Tissue Image Analytics Laboratory, Department of Computer Science, University of Warwick, Coventry, UK
| | - MAURICIO REYES
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland and Department of Radiation Oncology, University Hospital Bern, University of Bern, Bern, Switzerland
| | - MICHAEL A. RIEGLER
- Simula Metropolitan Center for Digital Engineering, Oslo, Norway and UiT The Arctic University of Norway, Tromsø, Norway
| | | | - JULIO SAEZ-RODRIGUEZ
- Institute for Computational Biomedicine, Heidelberg University, Heidelberg. Germany and Faculty of Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - CLARA I. SÁNCHEZ
- Informatics Institute, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands
| | | | | | - ABDEL A. TAHA
- Institute of Information Systems Engineering, TU Wien, Vienna, Austria
| | - ALEKSEI TIULPIN
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland and Neurocenter Oulu, Oulu University Hospital, Oulu, Finland
| | | | - BEN VAN CALSTER
- Department of Development and Regeneration and EPI-centre, KU Leuven, Leuven, Belgium and Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - GAËL VAROQUAUX
- Parietal project team, INRIA Saclay-Île de France, Palaiseau, France
| | - ZIV R. YANIV
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - PAUL F. JÄGER
- German Cancer Research Center (DKFZ) Heidelberg, Interactive Machine Learning Group and HI Helmholtz Imaging, Germany
| | - LENA MAIER-HEIN
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems and HI Helmholtz Imaging, Germany, Faculty of Mathematics and Computer Science and Medical Faculty, Heidelberg University, Heidelberg, Germany, and National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Germany
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Reinke A, Tizabi MD, Baumgartner M, Eisenmann M, Heckmann-Nötzel D, Kavur AE, Rädsch T, Sudre CH, Acion L, Antonelli M, Arbel T, Bakas S, Benis A, Buettner F, Cardoso MJ, Cheplygina V, Chen J, Christodoulou E, Cimini BA, Farahani K, Ferrer L, Galdran A, van Ginneken B, Glocker B, Godau P, Hashimoto DA, Hoffman MM, Huisman M, Isensee F, Jannin P, Kahn CE, Kainmueller D, Kainz B, Karargyris A, Kleesiek J, Kofler F, Kooi T, Kopp-Schneider A, Kozubek M, Kreshuk A, Kurc T, Landman BA, Litjens G, Madani A, Maier-Hein K, Martel AL, Meijering E, Menze B, Moons KGM, Müller H, Nichyporuk B, Nickel F, Petersen J, Rafelski SM, Rajpoot N, Reyes M, Riegler MA, Rieke N, Saez-Rodriguez J, Sánchez CI, Shetty S, Summers RM, Taha AA, Tiulpin A, Tsaftaris SA, Van Calster B, Varoquaux G, Yaniv ZR, Jäger PF, Maier-Hein L. Understanding metric-related pitfalls in image analysis validation. Nat Methods 2024; 21:182-194. [PMID: 38347140 PMCID: PMC11181963 DOI: 10.1038/s41592-023-02150-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 12/12/2023] [Indexed: 02/15/2024]
Abstract
Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image analysis, metrics are often chosen inadequately. Although taking into account the individual strengths, weaknesses and limitations of validation metrics is a critical prerequisite to making educated choices, the relevant knowledge is currently scattered and poorly accessible to individual researchers. Based on a multistage Delphi process conducted by a multidisciplinary expert consortium as well as extensive community feedback, the present work provides a reliable and comprehensive common point of access to information on pitfalls related to validation metrics in image analysis. Although focused on biomedical image analysis, the addressed pitfalls generalize across application domains and are categorized according to a newly created, domain-agnostic taxonomy. The work serves to enhance global comprehension of a key topic in image analysis validation.
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Affiliation(s)
- Annika Reinke
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany.
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany.
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
| | - Minu D Tizabi
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany.
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany.
| | - Michael Baumgartner
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
| | - Matthias Eisenmann
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
| | - Doreen Heckmann-Nötzel
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany
| | - A Emre Kavur
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, HI Applied Computer Vision Lab, Heidelberg, Germany
| | - Tim Rädsch
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL and Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Laura Acion
- Instituto de Cálculo, CONICET - Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Michela Antonelli
- School of Biomedical Engineering and Imaging Science, King's College London, London, UK
- Centre for Medical Image Computing, University College London, London, UK
| | - Tal Arbel
- Centre for Intelligent Machines and MILA (Quebec Artificial Intelligence Institute), McGill University, Montréal, Quebec, Canada
| | - Spyridon Bakas
- Division of Computational Pathology, Dept of Pathology & Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
| | - Arriel Benis
- Department of Digital Medical Technologies, Holon Institute of Technology, Holon, Israel
- European Federation for Medical Informatics, Le Mont-sur-Lausanne, Switzerland
| | - Florian Buettner
- German Cancer Consortium (DKTK), partner site Frankfurt/Mainz, a partnership between DKFZ and UCT Frankfurt-Marburg, Frankfurt am Main, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany
- Goethe University Frankfurt, Department of Medicine, Frankfurt am Main, Germany
- Goethe University Frankfurt, Department of Informatics, Frankfurt am Main, Germany
- Frankfurt Cancer Insititute, Frankfurt am Main, Germany
| | - M Jorge Cardoso
- School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Veronika Cheplygina
- Department of Computer Science, IT University of Copenhagen, Copenhagen, Denmark
| | - Jianxu Chen
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany
| | - Evangelia Christodoulou
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
| | - Beth A Cimini
- Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Keyvan Farahani
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, MD, USA
| | - Luciana Ferrer
- Instituto de Investigación en Ciencias de la Computación (ICC), CONICET-UBA, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Adrian Galdran
- Universitat Pompeu Fabra, Barcelona, Spain
- University of Adelaide, Adelaide, South Australia, Australia
| | - Bram van Ginneken
- Fraunhofer MEVIS, Bremen, Germany
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ben Glocker
- Department of Computing, Imperial College London, South Kensington Campus, London, UK
| | - Patrick Godau
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany
| | - Daniel A Hashimoto
- Department of Surgery, Perelman School of Medicine, Philadelphia, PA, USA
- General Robotics Automation Sensing and Perception Laboratory, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael M Hoffman
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
- Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
| | - Merel Huisman
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Fabian Isensee
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, HI Applied Computer Vision Lab, Heidelberg, Germany
| | - Pierre Jannin
- Laboratoire Traitement du Signal et de l'Image - UMR_S 1099, Université de Rennes 1, Rennes, France
- INSERM, Paris, France
| | - Charles E Kahn
- Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Dagmar Kainmueller
- Max-Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Biomedical Image Analysis and HI Helmholtz Imaging, Berlin, Germany
- University of Potsdam, Digital Engineering Faculty, Potsdam, Germany
| | - Bernhard Kainz
- Department of Computing, Faculty of Engineering, Imperial College London, London, UK
- Department AIBE, Friedrich-Alexander-Universität (FAU), Erlangen-Nürnberg, Germany
| | | | - Jens Kleesiek
- Translational Image-guided Oncology (TIO), Institute for AI in Medicine (IKIM), University Medicine Essen, Essen, Germany
| | | | | | - Annette Kopp-Schneider
- German Cancer Research Center (DKFZ) Heidelberg, Division of Biostatistics, Heidelberg, Germany
| | - Michal Kozubek
- Centre for Biomedical Image Analysis and Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Anna Kreshuk
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Health Science Center, Stony Brook, NY, USA
| | | | - Geert Litjens
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Amin Madani
- Department of Surgery, University Health Network, Philadelphia, PA, USA
| | - Klaus Maier-Hein
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Anne L Martel
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Erik Meijering
- School of Computer Science and Engineering, University of New South Wales, UNSW Sydney, Kensington, New South Wales, Australia
| | - Bjoern Menze
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Karel G M Moons
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Henning Müller
- Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland
- Medical Faculty, University of Geneva, Geneva, Switzerland
| | - Brennan Nichyporuk
- MILA (Quebec Artificial Intelligence Institute), Montréal, Quebec, Canada
| | - Felix Nickel
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Petersen
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
| | | | - Nasir Rajpoot
- Tissue Image Analytics Laboratory, Department of Computer Science, University of Warwick, Coventry, UK
| | - Mauricio Reyes
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
- Department of Radiation Oncology, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Michael A Riegler
- Simula Metropolitan Center for Digital Engineering, Oslo, Norway
- UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Julio Saez-Rodriguez
- Institute for Computational Biomedicine, Heidelberg University, Heidelberg, Germany
- Faculty of Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Clara I Sánchez
- Informatics Institute, Faculty of Science, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Ronald M Summers
- National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Abdel A Taha
- Institute of Information Systems Engineering, TU Wien, Vienna, Austria
| | - Aleksei Tiulpin
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Neurocenter Oulu, Oulu University Hospital, Oulu, Finland
| | | | - Ben Van Calster
- Department of Development and Regeneration and EPI-centre, KU Leuven, Leuven, Belgium
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Gaël Varoquaux
- Parietal project team, INRIA Saclay-Île de France, Palaiseau, France
| | - Ziv R Yaniv
- National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA
| | - Paul F Jäger
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany.
- German Cancer Research Center (DKFZ) Heidelberg, Interactive Machine Learning Group, Heidelberg, Germany.
| | - Lena Maier-Hein
- German Cancer Research Center (DKFZ) Heidelberg, Division of Intelligent Medical Systems, Heidelberg, Germany.
- German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany.
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany.
- Faculty of Medicine, Heidelberg University Hospital, Heidelberg, Germany.
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In Memoriam of Ricardo Flores: The Career, Achievements, and Legacy of an inspirational plant virologist. Virus Res 2022. [DOI: 10.1016/j.virusres.2022.198718] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Flores R, Navarro B, Serra P, Di Serio F. A Scenario for the Emergence of Protoviroids in the RNA World and for Their Further Evolution into Viroids and Viroid-Like RNAs by Modular Recombinations and Mutations. Virus Evol 2022; 8:veab107. [PMID: 35223083 PMCID: PMC8865084 DOI: 10.1093/ve/veab107] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/10/2021] [Accepted: 01/14/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Viroids are tiny, circular and non-coding RNAs that are able to replicate and systemically infect plants. The smallest known pathogens, they have been proposed to represent survivors from the RNA world that likely preceded the cellular world currently dominating life on the earth. Although the small, circular and compact nature of viroid genomes, some of which are also endowed with catalytic activity mediated by hammerhead ribozymes, support this proposal, the lack of feasible evolutionary routes and the identification of hammerhead ribozymes in a large number of DNA genomes of organisms along the tree of life has led some to question such a proposal. Here, we reassess the origin and subsequent evolution of viroids by complementing phylogenetic reconstructions with molecular data, including the primary and higher-order structure of the genomic RNAs, their replication and recombination mechanisms and selected biological information. Features of some viroid-like RNAs found in plants, animal, and possibly fungi are also considered. The resulting evolutionary scenario supports the emergence of protoviroids in the RNA world, mainly as replicative modules, followed by further increase in genome complexity based on module/domain shuffling and combination, and mutation. Such a modular evolutionary scenario would have facilitated the inclusion in the protoviroid genomes of complex RNA structures (or coding sequences, as in the case of hepatitis ∂ virus and delta-like agents), likely needed for their adaptation from the RNA world to a life based on cells, thus generating the ancestors of current infectious viroids and viroid-like RNAs. Other non-infectious viroid-like RNAs, such as retroviroid-like RNA elements and retrozymes, could also be derived from protoviroids if their reverse transcription and integration into viral or eukaryotic DNA, respectively, are considered as a possible key step in their evolution. Comparison of evidence supporting a general and modular evolutionary model for viroids and viroid-like RNAs with that favoring alternative scenarios provides reasonable reasons to keep alive the hypothesis that these small RNA pathogens may be relics of a precellular world.
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Affiliation(s)
| | - Beatriz Navarro
- Istituto per la Protezione Sostenibile delle Piante, Consiglio Nazionale delle Ricerche, Via Amendola 122/D, Bari 70126, Italy
| | - Pedro Serra
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas–Universidad Politécnica de Valencia, Ingeniero Fausto Elio s/n, Valencia 46022, Spain
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5
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Abstract
Viroids are small, single-stranded, circular RNAs infecting plants. Composed of only a few hundred nucleotides and being unable to code for proteins, viroids represent the lowest level of complexity for an infectious agent, even below that of the smallest known viruses. Despite the relatively small size, viroids contain RNA structural elements embracing all the information needed to interact with host factors involved in their infectious cycle, thus providing models for studying structure-function relationships of RNA. Viroids are specifically targeted to nuclei (family Pospiviroidae) or chloroplasts (family Avsunviroidae), where replication based on rolling-circle mechanisms takes place. They move locally and systemically through plasmodesmata and phloem, respectively, and may elicit symptoms in the infected host, with pathogenic pathways linked to RNA silencing and other plant defense responses. In this review, recent advances in the dissection of the complex interplay between viroids and plants are presented, highlighting knowledge gaps and perspectives for future research. Expected final online publication date for the Annual Review of Virology, Volume 8 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Beatriz Navarro
- Institute for Sustainable Plant Protection, National Research Council of Italy; I-70126 Bari, Italy;
| | - Ricardo Flores
- Institute of Molecular and Cellular Biology of Plants (UPV-CSIC), Polytechnic University of Valencia, 46022 Valencia, Spain
| | - Francesco Di Serio
- Institute for Sustainable Plant Protection, National Research Council of Italy; I-70126 Bari, Italy;
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6
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Flores R, Navarro B, Delgado S, Serra P, Di Serio F. Viroid pathogenesis: a critical appraisal of the role of RNA silencing in triggering the initial molecular lesion. FEMS Microbiol Rev 2021; 44:386-398. [PMID: 32379313 DOI: 10.1093/femsre/fuaa011] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 05/06/2020] [Indexed: 12/15/2022] Open
Abstract
The initial molecular lesions through which viroids, satellite RNAs and viruses trigger signal cascades resulting in plant diseases are hotly debated. Since viroids are circular non-protein-coding RNAs of ∼250-430 nucleotides, they appear very convenient to address this issue. Viroids are targeted by their host RNA silencing defense, generating viroid-derived small RNAs (vd-sRNAs) that are presumed to direct Argonaute (AGO) proteins to inactivate messenger RNAs, thus initiating disease. Here, we review the existing evidence. Viroid-induced symptoms reveal a distinction. Those attributed to vd-sRNAs from potato spindle tuber viroid and members of the family Pospiviroidae (replicating in the nucleus) are late, non-specific and systemic. In contrast, those attributed to vd-sRNAs from peach latent mosaic viroid (PLMVd) and other members of the family Avsunviroidae (replicating in plastids) are early, specific and local. Remarkably, leaf sectors expressing different PLMVd-induced chloroses accumulate viroid variants with specific pathogenic determinants. Some vd-sRNAs containing such determinant guide AGO1-mediated cleavage of mRNAs that code for proteins regulating chloroplast biogenesis/development. Therefore, the initial lesions and the expected phenotypes are connected by short signal cascades, hence supporting a cause-effect relationship. Intriguingly, one virus satellite RNA initiates disease through a similar mechanism, whereas in the Pospiviroidae and in plant viruses the situation remains uncertain.
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Affiliation(s)
- Ricardo Flores
- Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV), Avenida de los Naranjos s/n 46010, Valencia, Spain
| | - Beatriz Navarro
- Istituto per la Protezione Sostenibile delle Piante, Via Amendola 122/D, 70126 Bari, Italy
| | - Sonia Delgado
- Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV), Avenida de los Naranjos s/n 46010, Valencia, Spain
| | - Pedro Serra
- Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV), Avenida de los Naranjos s/n 46010, Valencia, Spain
| | - Francesco Di Serio
- Istituto per la Protezione Sostenibile delle Piante, Via Amendola 122/D, 70126 Bari, Italy
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7
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Delgado S, Navarro B, Serra P, Gentit P, Cambra MÁ, Chiumenti M, De Stradis A, Di Serio F, Flores R. How sequence variants of a plastid-replicating viroid with one single nucleotide change initiate disease in its natural host. RNA Biol 2019; 16:906-917. [PMID: 30990352 DOI: 10.1080/15476286.2019.1600396] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Understanding how viruses and subviral agents initiate disease is central to plant pathology. Whether RNA silencing mediates the primary lesion triggered by viroids (small non-protein-coding RNAs), or just intermediate-late steps of a signaling cascade, remains unsolved. While most variants of the plastid-replicating peach latent mosaic viroid (PLMVd) are asymptomatic, some incite peach mosaics or albinism (peach calico, PC). We have previously shown that two 21-nt small RNAs (PLMVd-sRNAs) containing a 12-13-nt PC-associated insertion guide cleavage, via RNA silencing, of the mRNA encoding a heat-shock protein involved in chloroplast biogenesis. To gain evidence supporting that such event is the initial lesion, and more specifically, that different chloroses have different primary causes, here we focused on a PLMVd-induced peach yellow mosaic (PYM) expressed in leaf sectors interspersed with others green. First, sequencing PLMVd-cDNAs from both sectors and bioassays mapped the PYM determinant at one nucleotide, a notion further sustained by the phenotype incited by other natural and artificial PLMVd variants. And second, sRNA deep-sequencing and RNA ligase-mediated RACE identified one PLMVd-sRNA with the PYM-associated change that guides cleavage, as predicted by RNA silencing, of the mRNA encoding a thylakoid translocase subunit required for chloroplast development. RT-qPCR showed lower accumulation of this mRNA in PYM-expressing tissues. Remarkably, PLMVd-sRNAs triggering PYM and PC have 5'-terminal Us, involving Argonaute 1 in what likely are the initial alterations eliciting distinct chloroses.
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Affiliation(s)
- Sonia Delgado
- a Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV) , Valencia , Spain
| | - Beatriz Navarro
- b Istituto per la Protezione Sostenibile delle Piante (CNR) , Bari , Italy
| | - Pedro Serra
- a Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV) , Valencia , Spain
| | - Pascal Gentit
- c Plant Health Laboratory (ANSES-PHL) , Angers , France
| | | | - Michela Chiumenti
- b Istituto per la Protezione Sostenibile delle Piante (CNR) , Bari , Italy
| | - Angelo De Stradis
- b Istituto per la Protezione Sostenibile delle Piante (CNR) , Bari , Italy
| | - Francesco Di Serio
- b Istituto per la Protezione Sostenibile delle Piante (CNR) , Bari , Italy
| | - Ricardo Flores
- a Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV) , Valencia , Spain
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8
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Cordero T, Ortolá B, Daròs JA. Mutational Analysis of Eggplant Latent Viroid RNA Circularization by the Eggplant tRNA Ligase in Escherichia coli. Front Microbiol 2018; 9:635. [PMID: 29675002 PMCID: PMC5895719 DOI: 10.3389/fmicb.2018.00635] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 03/19/2018] [Indexed: 11/13/2022] Open
Abstract
Eggplant latent viroid (ELVd) is a relatively small non-coding circular RNA that induces asymptomatic infections in eggplants (Solanum melongena L.). Like other viroid species that belong to the family Avsunviroidae, ELVd contains hammerhead ribozymes in the strands of both polarities that self-cleave RNAs producing terminal 5'-hydroxyl and 2',3'-cyclic phosphodiester groups. Available experimental data indicate that ELVd replicates in the chloroplasts of infected cells through a symmetric rolling-circle mechanism, in which RNA circularization is catalyzed by the chloroplastic isoform of the tRNA ligase. In this work, a mutational analysis was performed to gain insight into the sequence and structural requirements of the tRNA ligase-mediated circularization of ELVd RNAs. In the predicted minimum free energy conformation of the monomeric linear ELVd RNA intermediate of plus (+) polarity, the ligation site is located in the lower part of an opened internal loop, which is present in a quasi-rod-like structure that occupies the center of the molecule. The mutations analyzed herein consisted of punctual nucleotide substitutions and deletions surrounding the ligation site on the upper and lower strands of the ELVd quasi-double-stranded structure. Computational predictions of the mutated ELVd conformations indicated different degrees of distortions compared to the minimum free energy conformation of the wild-type ELVd linear monomer of + polarity. When these mutant RNAs were expressed in Escherichia coli, they were all circularized by the eggplant tRNA ligase with approximately the same efficiency as the wild-type ELVd, except for those that directly affected the ribozyme domain. These results suggest that the viroid ribozyme domains, in addition to self-cleavage, are also involved in the tRNA ligase-mediated circularization of the monomeric linear replication intermediates.
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Affiliation(s)
- Teresa Cordero
- Instituto de Biología Molecular y Celular de Plantas (Consejo Superior de Investigaciones Científicas - Universitat Politècnica de València), Valencia, Spain
| | - Beltrán Ortolá
- Instituto de Biología Molecular y Celular de Plantas (Consejo Superior de Investigaciones Científicas - Universitat Politècnica de València), Valencia, Spain
| | - José-Antonio Daròs
- Instituto de Biología Molecular y Celular de Plantas (Consejo Superior de Investigaciones Científicas - Universitat Politècnica de València), Valencia, Spain
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9
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Serra P, Messmer A, Sanderson D, James D, Flores R. Apple hammerhead viroid-like RNA is a bona fide viroid: Autonomous replication and structural features support its inclusion as a new member in the genus Pelamoviroid. Virus Res 2018; 249:8-15. [PMID: 29510173 DOI: 10.1016/j.virusres.2018.03.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 03/02/2018] [Accepted: 03/02/2018] [Indexed: 01/11/2023]
Abstract
Apple hammerhead viroid-like RNA (AHVd RNA) has been reported in different apple cultivars and geographic regions and, considering the presence of hammerhead ribozymes in both polarity strands, suspected to be either a viroid of the family Avsunviroidae or a viroid-like satellite RNA. Here we report that dimeric head-to-tail in vitro transcripts of a 433-nt reference variant of AHVd RNA from cultivar "Pacific Gala" are infectious when mechanically inoculated to apple, thus showing that this RNA is a bona fide viroid for which we have kept the name apple hammerhead viroid (AHVd) until its pathogenicity, if any, is better assessed. By combining thermodynamics-based predictions with co-variation analyses of the natural genetic diversity found in AHVd we have inferred the most likely conformations for both AHVd polarity strands in vivo, with that of the (+) polarity strand being stabilized by a kissing loop-interaction similar to those reported in peach latent mosaic viroid and chrysathemum chlorotic mottle viroid, the two known members of the genus Pelamoviroid (family Avsunviroidae). Therefore, AHVd RNA fulfills the biological and molecular criteria to be allocated to this genus, the members of which, intriguingly, display low global sequence identity but high structural conservation.
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Affiliation(s)
- Pedro Serra
- Instituto de Biologia Molecular y Celular de Plantas (UPV-CSIC), Universidad Politécnica de Valencia, Avenida de los Naranjos, 46022 Valencia, Spain
| | - Amber Messmer
- Centre for Plant Health-Sidney Laboratory, Canadian Food Inspection Agency, 8801 East Saanich Road, North Saanich, British Columbia, V8L 1H3, Canada
| | - Daniel Sanderson
- Centre for Plant Health-Sidney Laboratory, Canadian Food Inspection Agency, 8801 East Saanich Road, North Saanich, British Columbia, V8L 1H3, Canada
| | - Delano James
- Centre for Plant Health-Sidney Laboratory, Canadian Food Inspection Agency, 8801 East Saanich Road, North Saanich, British Columbia, V8L 1H3, Canada
| | - Ricardo Flores
- Instituto de Biologia Molecular y Celular de Plantas (UPV-CSIC), Universidad Politécnica de Valencia, Avenida de los Naranjos, 46022 Valencia, Spain.
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López-Carrasco A, Ballesteros C, Sentandreu V, Delgado S, Gago-Zachert S, Flores R, Sanjuán R. Different rates of spontaneous mutation of chloroplastic and nuclear viroids as determined by high-fidelity ultra-deep sequencing. PLoS Pathog 2017; 13:e1006547. [PMID: 28910391 PMCID: PMC5614642 DOI: 10.1371/journal.ppat.1006547] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Revised: 09/26/2017] [Accepted: 07/22/2017] [Indexed: 01/19/2023] Open
Abstract
Mutation rates vary by orders of magnitude across biological systems, being higher for simpler genomes. The simplest known genomes correspond to viroids, subviral plant replicons constituted by circular non-coding RNAs of few hundred bases. Previous work has revealed an extremely high mutation rate for chrysanthemum chlorotic mottle viroid, a chloroplast-replicating viroid. However, whether this is a general feature of viroids remains unclear. Here, we have used high-fidelity ultra-deep sequencing to determine the mutation rate in a common host (eggplant) of two viroids, each representative of one family: the chloroplastic eggplant latent viroid (ELVd, Avsunviroidae) and the nuclear potato spindle tuber viroid (PSTVd, Pospiviroidae). This revealed higher mutation frequencies in ELVd than in PSTVd, as well as marked differences in the types of mutations produced. Rates of spontaneous mutation, quantified in vivo using the lethal mutation method, ranged from 1/1000 to 1/800 for ELVd and from 1/7000 to 1/3800 for PSTVd depending on sequencing run. These results suggest that extremely high mutability is a common feature of chloroplastic viroids, whereas the mutation rates of PSTVd and potentially other nuclear viroids appear significantly lower and closer to those of some RNA viruses. Spontaneous mutations are the ultimate source of genetic variation and their characterization provides fundamental information about evolutionary processes. The highest mutation rate so far described corresponds to a hammerhead viroid infecting plant chloroplasts. Viroids are plant-exclusive parasites constituted by 250–400 nt-long, non-protein-coding RNAs, and are divided into two families with distinct mechanisms of replication and localization: chloroplastic (Avsunviroidae), and nuclear (Pospiviroidae). Here, we have used high-fidelity ultra-deep sequencing to compare side by side the mutation rates of one representative member of each viroid family in the same host. We found that the mutation rate of the nuclear viroid was several fold lower than that of the chloroplastic viroid.
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Affiliation(s)
- Amparo López-Carrasco
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, València, Spain
| | - Cristina Ballesteros
- Institute for Integrative Systems Biology (I2SysBio), Consejo Superior de Investigaciones Científicas-Universitat de València, València, Spain
| | | | - Sonia Delgado
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, València, Spain
| | - Selma Gago-Zachert
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, València, Spain
- Department of Molecular Signal Processing, Leibniz Institute for Plant Biochemistry, Halle (Saale), Germany
| | - Ricardo Flores
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, València, Spain
| | - Rafael Sanjuán
- Institute for Integrative Systems Biology (I2SysBio), Consejo Superior de Investigaciones Científicas-Universitat de València, València, Spain
- Departamento de Genética, Universitat de València, València, Spain
- * E-mail:
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López-Carrasco A, Flores R. The predominant circular form of avocado sunblotch viroid accumulates in planta as a free RNA adopting a rod-shaped secondary structure unprotected by tightly bound host proteins. J Gen Virol 2017; 98:1913-1922. [PMID: 28699864 DOI: 10.1099/jgv.0.000846] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Avocado sunblotch viroid (ASBVd), the type member of the family Avsunviroidae, replicates and accumulates in chloroplasts. Whether this minimal non-protein-coding circular RNA of 246-250 nt exists in vivo as a free nucleic acid or closely associated with host proteins remains unknown. To tackle this issue, the secondary structures of the monomeric circular (mc) (+) and (-) strands of ASBVd have been examined in silico by searching those of minimal free energy, and in vitro at single-nucleotide resolution by selective 2'-hydroxyl acylation analysed by primer extension (SHAPE). Both approaches resulted in predominant rod-like secondary structures without tertiary interactions, with the mc (+) RNA being more compact than its (-) counterpart as revealed by non-denaturing polyacryamide gel electrophoresis. Moreover, in vivo SHAPE showed that the mc ASBVd (+) form accumulates in avocado leaves as a free RNA adopting a similar rod-shaped conformation unprotected by tightly bound host proteins. Hence, the mc ASBVd (+) RNA behaves in planta like the previously studied mc (+) RNA of potato spindle tuber viroid, the type member of nuclear viroids (family Pospiviroidae), indicating that two different viroids replicating and accumulating in distinct subcellular compartments, have converged into a common structural solution. Circularity and compact secondary structures confer to these RNAs, and probably to all viroids, the intrinsic stability needed to survive in their natural habitats. However, in vivo SHAPE has not revealed the (possibly transient or loose) interactions of the mc ASBVd (+) RNA with two host proteins observed previously by UV irradiation of infected avocado leaves.
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Affiliation(s)
- Amparo López-Carrasco
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universidad Politécnica de Valencia-Consejo Superior de Investigaciones Científicas, Valencia, Spain
| | - Ricardo Flores
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universidad Politécnica de Valencia-Consejo Superior de Investigaciones Científicas, Valencia, Spain
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de la Peña M, García-Robles I, Cervera A. The Hammerhead Ribozyme: A Long History for a Short RNA. Molecules 2017; 22:molecules22010078. [PMID: 28054987 PMCID: PMC6155905 DOI: 10.3390/molecules22010078] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 12/28/2016] [Accepted: 12/29/2016] [Indexed: 01/22/2023] Open
Abstract
Small nucleolytic ribozymes are a family of naturally occurring RNA motifs that catalyse a self-transesterification reaction in a highly sequence-specific manner. The hammerhead ribozyme was the first reported and the most extensively studied member of this family. However, and despite intense biochemical and structural research for three decades since its discovery, the history of this model ribozyme seems to be far from finished. The hammerhead ribozyme has been regarded as a biological oddity typical of small circular RNA pathogens of plants. More recently, numerous and new variations of this ribozyme have been found to inhabit the genomes of organisms from all life kingdoms, although their precise biological functions are not yet well understood.
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Affiliation(s)
- Marcos de la Peña
- Instituto de Biología Molecular y Celular de Plantas (IBMCP) (CSIC-UPV), C/Ingeniero Fausto Elio s/n, 46022 Valencia, Spain.
| | - Inmaculada García-Robles
- Department of Genetics, University of Valencia, C/Dr. Moliner 50, Burjassot, 46100 Valencia, Spain.
| | - Amelia Cervera
- Instituto de Biología Molecular y Celular de Plantas (IBMCP) (CSIC-UPV), C/Ingeniero Fausto Elio s/n, 46022 Valencia, Spain.
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López-Carrasco A, Gago-Zachert S, Mileti G, Minoia S, Flores R, Delgado S. The transcription initiation sites of eggplant latent viroid strands map within distinct motifs in their in vivo RNA conformations. RNA Biol 2016; 13:83-97. [PMID: 26618399 DOI: 10.1080/15476286.2015.1119365] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Eggplant latent viroid (ELVd), like other members of family Avsunviroidae, replicates in plastids through a symmetric rolling-circle mechanism in which elongation of RNA strands is most likely catalyzed by a nuclear-encoded polymerase (NEP) translocated to plastids. Here we have addressed where NEP initiates transcription of viroid strands. Because this step is presumably directed by sequence/structural motifs, we have previously determined the conformation of the monomeric linear (+) and (-) RNAs of ELVd resulting from hammerhead-mediated self-cleavage. In silico predictions with 3 softwares led to similar bifurcated conformations for both ELVd strands. In vitro examination by non-denaturing PAGE showed that they migrate as prominent single bands, with the ELVd (+) RNA displaying a more compact conformation as revealed by its faster electrophoretic mobility. In vitro SHAPE analysis corroborated the ELVd conformations derived from thermodynamics-based predictions in silico. Moreover, sequence analysis of 94 full-length natural ELVd variants disclosed co-variations, and mutations converting canonical into wobble pairs or vice versa, which confirmed in vivo most of the stems predicted in silico and in vitro, and additionally helped to introduce minor structural refinements. Therefore, results from the 3 experimental approaches were essentially consistent among themselves. Application to RNA preparations from ELVd-infected tissue of RNA ligase-mediated rapid amplification of cDNA ends, combined with pretreatments to modify the 5' ends of viroid strands, mapped the transcription initiation sites of ELVd (+) and (-) strands in vivo at different sequence/structural motifs, in contrast with the situation previously observed in 2 other members of the family Avsunviroidae.
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Affiliation(s)
- Amparo López-Carrasco
- a Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universidad Politécnica de Valencia-Consejo Superior de Investigaciones Científicas , Valencia , Spain
| | - Selma Gago-Zachert
- b Department of Molecular Signal Processing , Leibniz Institute of Plant Biochemistry , Halle ( Saale ), Germany
| | - Giuseppe Mileti
- a Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universidad Politécnica de Valencia-Consejo Superior de Investigaciones Científicas , Valencia , Spain
| | - Sofia Minoia
- a Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universidad Politécnica de Valencia-Consejo Superior de Investigaciones Científicas , Valencia , Spain
| | - Ricardo Flores
- a Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universidad Politécnica de Valencia-Consejo Superior de Investigaciones Científicas , Valencia , Spain
| | - Sonia Delgado
- a Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universidad Politécnica de Valencia-Consejo Superior de Investigaciones Científicas , Valencia , Spain
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Daròs JA. Eggplant latent viroid: a friendly experimental system in the family Avsunviroidae. MOLECULAR PLANT PATHOLOGY 2016; 17:1170-7. [PMID: 26696449 PMCID: PMC6638527 DOI: 10.1111/mpp.12358] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Revised: 11/24/2015] [Accepted: 12/10/2015] [Indexed: 05/22/2023]
Abstract
TAXONOMY Eggplant latent viroid (ELVd) is the only species of the genus Elaviroid (family Avsunviroidae). All the viroids in the family Avsunviroidae contain hammerhead ribozymes in the strands of both polarities, and are considered to replicate in the chloroplasts of infected cells. This family includes two other genera: Avsunviroid and Pelamoviroid. PHYSICAL PROPERTIES ELVd consists of a single-stranded, circular, non-coding RNA of 332-335 nucleotides that folds in a branched quasi-rod-like minimum free-energy conformation. RNAs of complementary polarity exist in infected cells and are considered to be replication intermediates. Plus (+) polarity is assigned arbitrarily to the strand that accumulates at a higher concentration in infected tissues. HOST: To date, ELVd has only been shown to infect eggplant (Solanum melongena L.), the species in which it was discovered. A very narrow host range seems to be a common property in members of the family Avsunviroidae. SYMPTOMS ELVd infections of eggplants are apparently symptomless. TRANSMISSION ELVd is transmitted mechanically and by seed. USEFUL WEBSITE http://subviral.med.uottawa.ca.
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Affiliation(s)
- José-Antonio Daròs
- Instituto de Biología Molecular y Celular de Plantas (Consejo Superior de Investigaciones Científicas - Universidad Politécnica de Valencia), Avenida de los Naranjos s/n, 46022, Valencia, Spain.
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15
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Gago-Zachert S. Viroids, infectious long non-coding RNAs with autonomous replication. Virus Res 2015; 212:12-24. [PMID: 26319312 DOI: 10.1016/j.virusres.2015.08.018] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Revised: 08/20/2015] [Accepted: 08/22/2015] [Indexed: 10/23/2022]
Abstract
Transcriptome deep-sequencing studies performed during the last years confirmed that the vast majority of the RNAs transcribed in higher organisms correspond to several types of non-coding RNAs including long non-coding RNAs (lncRNAs). The study of lncRNAs and the identification of their functions, is still an emerging field in plants but the characterization of some of them indicate that they play an important role in crucial regulatory processes like flowering regulation, and responses to abiotic stress and plant hormones. A second group of lncRNAs present in plants is formed by viroids, exogenous infectious subviral plant pathogens well known since many years. Viroids are composed of circular RNA genomes without protein-coding capacity and subvert enzymatic activities of their hosts to complete its own biological cycle. Different aspects of viroid biology and viroid-host interactions have been elucidated in the last years and some of them are the main topic of this review together with the analysis of the state-of-the-art about the growing field of endogenous lncRNAs in plants.
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Affiliation(s)
- Selma Gago-Zachert
- Department of Molecular Signal Processing, Leibniz Institute of Plant Biochemistry, 06120 Halle (Saale), Germany.
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16
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Dotu I, Garcia-Martin JA, Slinger BL, Mechery V, Meyer MM, Clote P. Complete RNA inverse folding: computational design of functional hammerhead ribozymes. Nucleic Acids Res 2014; 42:11752-62. [PMID: 25209235 PMCID: PMC4191386 DOI: 10.1093/nar/gku740] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Nanotechnology and synthetic biology currently constitute one of the most innovative, interdisciplinary fields of research, poised to radically transform society in the 21st century. This paper concerns the synthetic design of ribonucleic acid molecules, using our recent algorithm, RNAiFold, which can determine all RNA sequences whose minimum free energy secondary structure is a user-specified target structure. Using RNAiFold, we design ten cis-cleaving hammerhead ribozymes, all of which are shown to be functional by a cleavage assay. We additionally use RNAiFold to design a functional cis-cleaving hammerhead as a modular unit of a synthetic larger RNA. Analysis of kinetics on this small set of hammerheads suggests that cleavage rate of computationally designed ribozymes may be correlated with positional entropy, ensemble defect, structural flexibility/rigidity and related measures. Artificial ribozymes have been designed in the past either manually or by SELEX (Systematic Evolution of Ligands by Exponential Enrichment); however, this appears to be the first purely computational design and experimental validation of novel functional ribozymes. RNAiFold is available at http://bioinformatics.bc.edu/clotelab/RNAiFold/.
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Affiliation(s)
- Ivan Dotu
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
| | | | - Betty L Slinger
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
| | - Vinodh Mechery
- Hofstra North Shore-LIJ School of Medicine, Hempstead, NY 11549, USA
| | - Michelle M Meyer
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
| | - Peter Clote
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
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17
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Flores R, Serra P, Minoia S, Di Serio F, Navarro B. Viroids: from genotype to phenotype just relying on RNA sequence and structural motifs. Front Microbiol 2012; 3:217. [PMID: 22719735 PMCID: PMC3376415 DOI: 10.3389/fmicb.2012.00217] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2012] [Accepted: 05/28/2012] [Indexed: 11/13/2022] Open
Abstract
As a consequence of two unique physical properties, small size and circularity, viroid RNAs do not code for proteins and thus depend on RNA sequence/structural motifs for interacting with host proteins that mediate their invasion, replication, spread, and circumvention of defensive barriers. Viroid genomes fold up on themselves adopting collapsed secondary structures wherein stretches of nucleotides stabilized by Watson–Crick pairs are flanked by apparently unstructured loops. However, compelling data show that they are instead stabilized by alternative non-canonical pairs and that specific loops in the rod-like secondary structure, characteristic of Potato spindle tuber viroid and most other members of the family Pospiviroidae, are critical for replication and systemic trafficking. In contrast, rather than folding into a rod-like secondary structure, most members of the family Avsunviroidae adopt multibranched conformations occasionally stabilized by kissing-loop interactions critical for viroid viability in vivo. Besides these most stable secondary structures, viroid RNAs alternatively adopt during replication transient metastable conformations containing elements of local higher-order structure, prominent among which are the hammerhead ribozymes catalyzing a key replicative step in the family Avsunviroidae, and certain conserved hairpins that also mediate replication steps in the family Pospiviroidae. Therefore, different RNA structures – either global or local – determine different functions, thus highlighting the need for in-depth structural studies on viroid RNAs.
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Affiliation(s)
- Ricardo Flores
- Instituto de Biología Molecular y Celular de Plantas (UPV-CSIC) Valencia, Spain
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18
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Buskiewicz IA, Burke JM. Folding of the hammerhead ribozyme: pyrrolo-cytosine fluorescence separates core folding from global folding and reveals a pH-dependent conformational change. RNA (NEW YORK, N.Y.) 2012; 18:434-448. [PMID: 22274955 PMCID: PMC3285932 DOI: 10.1261/rna.030999.111] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2011] [Accepted: 11/09/2011] [Indexed: 05/30/2023]
Abstract
The catalytic activity of the hammerhead ribozyme is limited by its ability to fold into the native tertiary structure. Analysis of folding has been hampered by a lack of assays that can independently monitor the environment of nucleobases throughout the ribozyme-substrate complex in real time. Here, we report the development and application of a new folding assay in which we use pyrrolo-cytosine (pyC) fluorescence to (1) probe active-site formation, (2) examine the ability of peripheral ribozyme domains to support native folding, (3) identify a pH-dependent conformational change within the ribozyme, and (4) explore its influence on the equilibrium between the folded and unfolded core of the hammerhead ribozyme. We conclude that the natural ribozyme folds in two distinct noncooperative steps and the pH-dependent correlation between core folding and activity is linked to formation of the G8-C3 base pair.
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Affiliation(s)
- Iwona A Buskiewicz
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, Vermont 05405, USA.
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19
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Carbonell A, Flores R, Gago S. Trans-cleaving hammerhead ribozymes with tertiary stabilizing motifs: in vitro and in vivo activity against a structured viroid RNA. Nucleic Acids Res 2010; 39:2432-44. [PMID: 21097888 PMCID: PMC3064770 DOI: 10.1093/nar/gkq1051] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Trans-cleaving hammerheads with discontinuous or extended stem I and with tertiary stabilizing motifs (TSMs) have been tested previously against short RNA substrates in vitro at low Mg(2+) concentration. However, the potential of these ribozymes for targeting longer and structured RNAs in vitro and in vivo has not been examined. Here, we report the in vitro cleavage of short RNAs and of a 464-nt highly structured RNA from potato spindle tuber viroid (PSTVd) by hammerheads with discontinuous and extended formats at submillimolar Mg(2+). Under these conditions, hammerheads derived from eggplant latent viroid and peach latent mosaic viroid (PLMVd) with discontinuous and extended formats, respectively, where the most active. Furthermore, a PLMVd-derived hammerhead with natural TSMs showed activity in vivo against the same long substrate and interfered with systemic PSTVd infection, thus reinforcing the idea that this class of ribozymes has potential to control pathogenic RNA replicons.
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Affiliation(s)
- Alberto Carbonell
- Instituto de Biología Molecular y Celular de Plantas, UPV-CSIC, Campus Universidad Politécnica de Valencia, Avenida de los Naranjos, 46022 Valencia, Spain
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20
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Viroid replication: rolling-circles, enzymes and ribozymes. Viruses 2009; 1:317-34. [PMID: 21994552 PMCID: PMC3185496 DOI: 10.3390/v1020317] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2009] [Revised: 09/09/2009] [Accepted: 09/09/2009] [Indexed: 12/05/2022] Open
Abstract
Viroids, due to their small size and lack of protein-coding capacity, must rely essentially on their hosts for replication. Intriguingly, viroids have evolved the ability to replicate in two cellular organella, the nucleus (family Pospiviroidae) and the chloroplast (family Avsunviroidae). Viroid replication proceeds through an RNA-based rolling-circle mechanism with three steps that, with some variations, operate in both polarity strands: i) synthesis of longer-than-unit strands catalyzed by either the nuclear RNA polymerase II or a nuclear-encoded chloroplastic RNA polymerase, in both instances redirected to transcribe RNA templates, ii) cleavage to unit-length, which in the family Avsunviroidae is mediated by hammerhead ribozymes embedded in both polarity strands, while in the family Pospiviroidae the oligomeric RNAs provide the proper conformation but not the catalytic activity, and iii) circularization. The host RNA polymerases, most likely assisted by additional host proteins, start transcription from specific sites, thus implying the existence of viroid promoters. Cleavage and ligation in the family Pospiviroidae is probably catalyzed by an RNase III-like enzyme and an RNA ligase able to circularize the resulting 5′ and 3′ termini. Whether a chloroplastic RNA ligase mediates circularization in the family Avsunviroidae, or this reaction is autocatalytic, remains an open issue.
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21
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Shepotinovskaya IV, Uhlenbeck OC. Catalytic diversity of extended hammerhead ribozymes. Biochemistry 2008; 47:7034-42. [PMID: 18543946 DOI: 10.1021/bi7025358] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Chimeras of the well-characterized minimal hammerhead 16 and nine extended hammerheads derived from natural viroids and satellite RNAs were constructed with the goal of assessing whether their very different peripheral tertiary interactions modulate their catalytic properties. For each chimera, three different assays were used to determine the rate of cleavage and the fraction of full-length hammerhead at equilibrium and thereby deduce the elemental cleavage ( k 2) and ligation ( k -2) rate constants. The nine chimeras were all more active than minimal hammerheads and exhibited a very broad range of catalytic properties, with values of k 2 varying by 750-fold and k -2 by 100-fold. At least two of the hammerheads exhibited an altered dependence of k obs on magnesium concentration. Since much less catalytic diversity is observed among minimal hammerheads that lack the tertiary interactions, a possible role for the different tertiary interaction is to modulate the hammerhead cleavage properties in viroids. For example, differing hammerhead cleavage and ligation rates could affect the steady state concentrations of linear, circular, and polymeric genomes in infected cells.
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Affiliation(s)
- Irina V Shepotinovskaya
- Department of Biochemistry, Molecular Biology, and Cellular Biology, Northwestern University, 2205 Tech Drive, Hogan 2-100, Evanston, Illinois 60208, USA
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22
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Nelson JA, Uhlenbeck OC. Hammerhead redux: does the new structure fit the old biochemical data? RNA (NEW YORK, N.Y.) 2008; 14:605-615. [PMID: 18287565 PMCID: PMC2271363 DOI: 10.1261/rna.912608] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
The cleavage rates of 78 hammerhead ribozymes containing structurally conservative chemical modifications were collected from the literature and compared to the recently determined crystal structure of the Schistosoma mansoni hammerhead. With only a few exceptions, the biochemical data were consistent with the structure, indicating that the new structure closely resembles the transition state of the reaction. Since all the biochemical data were collected on minimal hammerheads that have a very different structure, the minimal hammerhead must be dynamic and occasionally adopt the quite different extended structure in order to cleave.
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Affiliation(s)
- Jennifer A Nelson
- Department of Biochemistry, Molecular Biology and Cell Biology, Northwestern University, Evanston, Illinois 60208, USA
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23
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Nelson JA, Uhlenbeck OC. Minimal and extended hammerheads utilize a similar dynamic reaction mechanism for catalysis. RNA (NEW YORK, N.Y.) 2008; 14:43-54. [PMID: 17998291 PMCID: PMC2151028 DOI: 10.1261/rna.717908] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2007] [Accepted: 09/21/2007] [Indexed: 05/25/2023]
Abstract
Analysis of the catalytic activity of identical mutations in the catalytic cores of nHH8, a very active "extended" hammerhead, and HH16, a less active "minimal" hammerhead, reveal that the tertiary Watson-Crick base pair between C3 and G8 seen in the recent structure of the Schistosoma mansoni extended hammerhead can be replaced by other base pairs in both backgrounds. This supports the model that both hammerheads utilize a similar catalytic mechanism but HH16 is slower because it infrequently samples the active conformation. The relative effect of different mutations at positions 3 and 8 also depends on the identity of residue 17 in both nHH8 and HH16. This synergistic effect can best be explained by transient pairing between residues 3 and 17 and 8 and 13, which stabilize an inactive conformation. Thus, mutants of nHH8 and possibly nHH8 itself are also in dynamic equilibrium with an inactive conformation that may resemble the X-ray structure of a minimal hammerhead. Therefore, both minimal and extended hammerhead structures must be considered to fully understand hammerhead catalysis.
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Affiliation(s)
- Jennifer A Nelson
- Department of Biochemistry, Molecular Biology and Cell Biology, Northwestern University, Evanston, Illinois 60208, USA
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