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5. Filovirus RefSeq Entries: Evaluation and Selection of Filovirus Type Variants, Type Sequences, and Names

Author

Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Kuhn, Jens H., Andersen, Kristian G., Bào, Yīmíng, Bavari, Sina, Becker, Stephan, Bennett, Richard S., Bergman, Nicholas H., Blinkova, Olga, Bradfute, Steven, Brister, J. Rodney, Bukreyev, Alexander, Chandran, Kartik, Chepurnov, Alexander A., Davey, Robert A., Dietzgen, Ralf G., Doggett, Norman A., Dolnik, Olga, Dye, John M., Enterlein, Sven, Fenimore, Paul W., Formenty, Pierre, Freiberg, Alexander N., Garry, Robert F., Garza, Nicole L., Gire, Stephen K., Gonzalez, Jean-Paul, Griffiths, Anthony, Happi, Christian T., Hensley, Lisa E., Herbert, Andrew S., Hevey, Michael C., Hoenen, Thomas, Honko, Anna N., Ignatyev, Georgy M., Jahrling, Peter B., Johnson, Joshua C., Johnson, Karl M., Kindrachuk, Jason, Klenk, Hans-Dieter, Kobinger, Gary, Kochel, Tadeusz J., Lackemeyer, Matthew G., Lackner, Daniel F., Leroy, Eric M., Lever, Mark S., Mühlberger, Elke, Netesov, Sergey V., Olinger, Gene G., Omilabu, Sunday A., Palacios, Gustavo, Panchal, Rekha G., Park, Daniel J., Patterson, Jean L., Paweska, Janusz T., Peters, Clarence J., Pettitt, James, Pitt, Louise, Radoshitzky, Sheli R., Ryabchikova, Elena I., Saphire, Erica Ollmann, Sabeti, Pardis C., Sealfon, Rachel Sima, Shestopalov, Aleksandr M., Smither, Sophie J., Sullivan, Nancy J., Swanepoel, Robert, Takada, Ayato, Towner, Jonathan S., Van der Groen, Guido, Volchkov, Viktor E., Volchkova, Valentina A., Wahl-Jensen, Victoria, Warren, Travis K., Warfield, Kelly L., Weidmann, Manfred, Nichol, Stuart T., Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, Kuhn, Jens H., Andersen, Kristian G., Bào, Yīmíng, Bavari, Sina, Becker, Stephan, Bennett, Richard S., Bergman, Nicholas H., Blinkova, Olga, Bradfute, Steven, Brister, J. Rodney, Bukreyev, Alexander, Chandran, Kartik, Chepurnov, Alexander A., Davey, Robert A., Dietzgen, Ralf G., Doggett, Norman A., Dolnik, Olga, Dye, John M., Enterlein, Sven, Fenimore, Paul W., Formenty, Pierre, Freiberg, Alexander N., Garry, Robert F., Garza, Nicole L., Gire, Stephen K., Gonzalez, Jean-Paul, Griffiths, Anthony, Happi, Christian T., Hensley, Lisa E., Herbert, Andrew S., Hevey, Michael C., Hoenen, Thomas, Honko, Anna N., Ignatyev, Georgy M., Jahrling, Peter B., Johnson, Joshua C., Johnson, Karl M., Kindrachuk, Jason, Klenk, Hans-Dieter, Kobinger, Gary, Kochel, Tadeusz J., Lackemeyer, Matthew G., Lackner, Daniel F., Leroy, Eric M., Lever, Mark S., Mühlberger, Elke, Netesov, Sergey V., Olinger, Gene G., Omilabu, Sunday A., Palacios, Gustavo, Panchal, Rekha G., Park, Daniel J., Patterson, Jean L., Paweska, Janusz T., Peters, Clarence J., Pettitt, James, Pitt, Louise, Radoshitzky, Sheli R., Ryabchikova, Elena I., Saphire, Erica Ollmann, Sabeti, Pardis C., Sealfon, Rachel Sima, Shestopalov, Aleksandr M., Smither, Sophie J., Sullivan, Nancy J., Swanepoel, Robert, Takada, Ayato, Towner, Jonathan S., Van der Groen, Guido, Volchkov, Viktor E., Volchkova, Valentina A., Wahl-Jensen, Victoria, Warren, Travis K., Warfield, Kelly L., Weidmann, Manfred, and Nichol, Stuart T.

Abstract

Sequence determination of complete or coding-complete genomes of viruses is becoming common practice for supporting the work of epidemiologists, ecologists, virologists, and taxonomists. Sequencing duration and costs are rapidly decreasing, sequencing hardware is under modification for use by non-experts, and software is constantly being improved to simplify sequence data management and analysis. Thus, analysis of virus disease outbreaks on the molecular level is now feasible, including characterization of the evolution of individual virus populations in single patients over time. The increasing accumulation of sequencing data creates a management problem for the curators of commonly used sequence databases and an entry retrieval problem for end users. Therefore, utilizing the data to their fullest potential will require setting nomenclature and annotation standards for virus isolates and associated genomic sequences. The National Center for Biotechnology Information’s (NCBI’s) RefSeq is a non-redundant, curated database for reference (or type) nucleotide sequence records that supplies source data to numerous other databases. Building on recently proposed templates for filovirus variant naming [ ()/<;isolation host-suffix>///-], we report consensus decisions from a majority of past and currently active filovirus experts on the eight filovirus type variants and isolates to be represented in RefSeq, their final designations, and their associated sequences. Keywords: Bundibugyo virus; cDNA clone; cuevavirus; Ebola; Ebola virus; ebolavirus; filovirid; Filoviridae; filovirus; genome annotation; ICTV; International Committee on Taxonomy of Viruses; Lloviu virus; Marburg virus; marburgvirus; mononegavirad; Mononegavirales; mononegavirus; Ravn virus; RefSeq; Reston virus; reverse genetics; Sudan virus; Taï Forest virus; virus classification; virus isolate; virus nome

Published
2019

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