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A minimum data standard for vector competence experiments
The growing threat of vector-borne diseases, highlighted by recent epidemics, has prompted increased focus on the fundamental biology of vector-virus interactions. To this end, experiments are often the most reliable way to measure vector competence (the potential for arthropod vectors to transmit c...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582208/ https://www.ncbi.nlm.nih.gov/pubmed/36261651 http://dx.doi.org/10.1038/s41597-022-01741-4 |
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author | Wu, Velen Yifei Chen, Binqi Christofferson, Rebecca Ebel, Gregory Fagre, Anna C. Gallichotte, Emily N. Sweeny, Amy R. Carlson, Colin J. Ryan, Sadie J. |
author_facet | Wu, Velen Yifei Chen, Binqi Christofferson, Rebecca Ebel, Gregory Fagre, Anna C. Gallichotte, Emily N. Sweeny, Amy R. Carlson, Colin J. Ryan, Sadie J. |
author_sort | Wu, Velen Yifei |
collection | PubMed |
description | The growing threat of vector-borne diseases, highlighted by recent epidemics, has prompted increased focus on the fundamental biology of vector-virus interactions. To this end, experiments are often the most reliable way to measure vector competence (the potential for arthropod vectors to transmit certain pathogens). Data from these experiments are critical to understand outbreak risk, but – despite having been collected and reported for a large range of vector-pathogen combinations – terminology is inconsistent, records are scattered across studies, and the accompanying publications often share data with insufficient detail for reuse or synthesis. Here, we present a minimum data and metadata standard for reporting the results of vector competence experiments. Our reporting checklist strikes a balance between completeness and labor-intensiveness, with the goal of making these important experimental data easier to find and reuse in the future, without much added effort for the scientists generating the data. To illustrate the standard, we provide an example that reproduces results from a study of Aedes aegypti vector competence for Zika virus. |
format | Online Article Text |
id | pubmed-9582208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95822082022-10-21 A minimum data standard for vector competence experiments Wu, Velen Yifei Chen, Binqi Christofferson, Rebecca Ebel, Gregory Fagre, Anna C. Gallichotte, Emily N. Sweeny, Amy R. Carlson, Colin J. Ryan, Sadie J. Sci Data Article The growing threat of vector-borne diseases, highlighted by recent epidemics, has prompted increased focus on the fundamental biology of vector-virus interactions. To this end, experiments are often the most reliable way to measure vector competence (the potential for arthropod vectors to transmit certain pathogens). Data from these experiments are critical to understand outbreak risk, but – despite having been collected and reported for a large range of vector-pathogen combinations – terminology is inconsistent, records are scattered across studies, and the accompanying publications often share data with insufficient detail for reuse or synthesis. Here, we present a minimum data and metadata standard for reporting the results of vector competence experiments. Our reporting checklist strikes a balance between completeness and labor-intensiveness, with the goal of making these important experimental data easier to find and reuse in the future, without much added effort for the scientists generating the data. To illustrate the standard, we provide an example that reproduces results from a study of Aedes aegypti vector competence for Zika virus. Nature Publishing Group UK 2022-10-19 /pmc/articles/PMC9582208/ /pubmed/36261651 http://dx.doi.org/10.1038/s41597-022-01741-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wu, Velen Yifei Chen, Binqi Christofferson, Rebecca Ebel, Gregory Fagre, Anna C. Gallichotte, Emily N. Sweeny, Amy R. Carlson, Colin J. Ryan, Sadie J. A minimum data standard for vector competence experiments |
title | A minimum data standard for vector competence experiments |
title_full | A minimum data standard for vector competence experiments |
title_fullStr | A minimum data standard for vector competence experiments |
title_full_unstemmed | A minimum data standard for vector competence experiments |
title_short | A minimum data standard for vector competence experiments |
title_sort | minimum data standard for vector competence experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582208/ https://www.ncbi.nlm.nih.gov/pubmed/36261651 http://dx.doi.org/10.1038/s41597-022-01741-4 |
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