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| Indexado |
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| DOI | 10.1002/ECE3.5232 | ||||
| Año | 2019 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
The greatest diversity of influenza A virus (IAV) is found in wild aquatic birds of the orders Anseriformes and Charadriiformes. In these birds, IAV replication occurs mostly in the intestinal tract. Fecal, cloacal, and/or tracheal swabs are typically collected and tested by real-time RT-PCR (rRT-PCR) and/or by virus isolation in embryonated chicken eggs in order to determine the presence of IAV. Virus isolation may impose bottlenecks that select variant populations that are different from those circulating in nature, and such bottlenecks may result in artifactual representation of subtype diversity and/or underrepresented mixed infections. The advent of next-generation sequencing (NGS) technologies provides an opportunity to explore to what extent IAV subtype diversity is affected by virus isolation in eggs. In the present work, we evaluated the advantage of sequencing by NGS directly from swab material of IAV rRT-PCR-positive swabs collected during the 2013-14 surveillance season in Guatemala and compared to results from NGS after virus isolation. The results highlight the benefit of sequencing IAV genomes directly from swabs to better understand subtype diversity and detection of alternative amino acid motifs that could otherwise escape detection using traditional methods of virus isolation. In addition, NGS sequencing data from swabs revealed reduced presence of defective interfering particles compared to virus isolates. We propose an alternative workflow in which original swab samples positive for IAV by rRT-PCR are first subjected to NGS before attempting viral isolation. This approach should speed the processing of samples and better capture natural IAV diversity. OPEN RESEARCH BADGES This article has earned an Open Data Badge for making publicly available the digitally-shareable data necessary to reproduce the reported results. The data is available at .
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Ferreri, Lucas M. | Hombre |
Univ Georgia - Estados Unidos
The University of Georgia - Estados Unidos University of Georgia - Estados Unidos |
| 2 | Ortiz, Lucia | Mujer |
Univ Georgia - Estados Unidos
Univ Valle Guatemala - Guatemala The University of Georgia - Estados Unidos UNIVERSIDAD DEL VALLE DE GUATEMALA - Guatemala University of Georgia - Estados Unidos |
| 3 | Geiger, Ginger | Mujer |
Univ Georgia - Estados Unidos
The University of Georgia - Estados Unidos University of Georgia - Estados Unidos |
| 4 | BARRIGA-PINTO, GONZALO ANDRES | Hombre |
Universidad de Chile - Chile
|
| 5 | Poulson, Rebecca | Mujer |
Univ Georgia - Estados Unidos
The University of Georgia - Estados Unidos University of Georgia - Estados Unidos |
| 6 | Gonzalez-Reiche, Ana Silvia | Mujer |
Icahn Sch Med Mt Sinai - Estados Unidos
Icahn School of Medicine at Mount Sinai - Estados Unidos |
| 7 | Crum, Jo Anne | - |
Univ Georgia - Estados Unidos
The University of Georgia - Estados Unidos University of Georgia - Estados Unidos |
| 8 | Stallknecht, David | Hombre |
Univ Georgia - Estados Unidos
The University of Georgia - Estados Unidos University of Georgia - Estados Unidos |
| 9 | Moran, David | Hombre |
Univ Valle Guatemala - Guatemala
UNIVERSIDAD DEL VALLE DE GUATEMALA - Guatemala |
| 10 | Cordon-Rosales, Celia | Mujer |
Univ Valle Guatemala - Guatemala
UNIVERSIDAD DEL VALLE DE GUATEMALA - Guatemala |
| 11 | Rajao, Daniela | Mujer |
Univ Georgia - Estados Unidos
The University of Georgia - Estados Unidos University of Georgia - Estados Unidos |
| 12 | Perez, Daniel R. | Hombre |
Univ Georgia - Estados Unidos
The University of Georgia - Estados Unidos University of Georgia - Estados Unidos |
| Fuente |
|---|
| National Institute of Allergy and Infectious Diseases |
| Georgia Advanced Computing Resource Center |
| Center for Research on Influenza Pathogenesis |
| University of Georgia's Office |
| Office of the Vice President for Information Technology |
| Office of the Executive Vice President for Research and Partnerships, Purdue University |
| Agradecimiento |
|---|
| National Institute of Allergy and Infectious Diseases, Grant/Award Number: HHSN272201400006C and HHSN272201400008C |
| This study was supported by a subcontract from the Center for Research on Influenza Pathogenesis (CRIP) to DRP under contract HHSN272201400008C from the National Institute of Allergy and Infectious Diseases (NIAID) Centers for Influenza Research and Surveillance (CEIRS). Additional support was provided by the St Jude‐CEIRS to DS under contract HHSN272201400006C. Special thanks to the Georgia Research Alliance and the Georgia Poultry Federation through the Caswell S. Eidson in Poultry Medicine en‐ dowment chair. This study was also supported in part by resources and technical expertise from the Georgia Advanced Computing Resource Center, a partnership between the University of Georgia's Office of the Vice President for Research and Office of the Vice President for Information Technology. |