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Strength in numbers: Collaborative science for new experimental model systems
Our current understanding of biology is heavily based on a small number of genetically tractable model organisms. Most eukaryotic phyla lack such experimental models, and this limits our ability to explore the molecular mechanisms that ultimately define their biology, ecology, and diversity. In part...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044537/ https://www.ncbi.nlm.nih.gov/pubmed/29965960 http://dx.doi.org/10.1371/journal.pbio.2006333 |
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author | Waller, Ross F. Cleves, Phillip A. Rubio-Brotons, Maria Woods, April Bender, Sara J. Edgcomb, Virginia Gann, Eric R. Jones, Adam C. Teytelman, Leonid von Dassow, Peter Wilhelm, Steven W. Collier, Jackie L. |
author_facet | Waller, Ross F. Cleves, Phillip A. Rubio-Brotons, Maria Woods, April Bender, Sara J. Edgcomb, Virginia Gann, Eric R. Jones, Adam C. Teytelman, Leonid von Dassow, Peter Wilhelm, Steven W. Collier, Jackie L. |
author_sort | Waller, Ross F. |
collection | PubMed |
description | Our current understanding of biology is heavily based on a small number of genetically tractable model organisms. Most eukaryotic phyla lack such experimental models, and this limits our ability to explore the molecular mechanisms that ultimately define their biology, ecology, and diversity. In particular, marine protists suffer from a paucity of model organisms despite playing critical roles in global nutrient cycles, food webs, and climate. To address this deficit, an initiative was launched in 2015 to foster the development of ecologically and taxonomically diverse marine protist genetic models. The development of new models faces many barriers, some technical and others institutional, and this often discourages the risky, long-term effort that may be required. To lower these barriers and tackle the complexity of this effort, a highly collaborative community-based approach was taken. Herein, we describe this approach, the advances achieved, and the lessons learned by participants in this novel community-based model for research. |
format | Online Article Text |
id | pubmed-6044537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60445372018-07-26 Strength in numbers: Collaborative science for new experimental model systems Waller, Ross F. Cleves, Phillip A. Rubio-Brotons, Maria Woods, April Bender, Sara J. Edgcomb, Virginia Gann, Eric R. Jones, Adam C. Teytelman, Leonid von Dassow, Peter Wilhelm, Steven W. Collier, Jackie L. PLoS Biol Community Page Our current understanding of biology is heavily based on a small number of genetically tractable model organisms. Most eukaryotic phyla lack such experimental models, and this limits our ability to explore the molecular mechanisms that ultimately define their biology, ecology, and diversity. In particular, marine protists suffer from a paucity of model organisms despite playing critical roles in global nutrient cycles, food webs, and climate. To address this deficit, an initiative was launched in 2015 to foster the development of ecologically and taxonomically diverse marine protist genetic models. The development of new models faces many barriers, some technical and others institutional, and this often discourages the risky, long-term effort that may be required. To lower these barriers and tackle the complexity of this effort, a highly collaborative community-based approach was taken. Herein, we describe this approach, the advances achieved, and the lessons learned by participants in this novel community-based model for research. Public Library of Science 2018-07-02 /pmc/articles/PMC6044537/ /pubmed/29965960 http://dx.doi.org/10.1371/journal.pbio.2006333 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Community Page Waller, Ross F. Cleves, Phillip A. Rubio-Brotons, Maria Woods, April Bender, Sara J. Edgcomb, Virginia Gann, Eric R. Jones, Adam C. Teytelman, Leonid von Dassow, Peter Wilhelm, Steven W. Collier, Jackie L. Strength in numbers: Collaborative science for new experimental model systems |
title | Strength in numbers: Collaborative science for new experimental model systems |
title_full | Strength in numbers: Collaborative science for new experimental model systems |
title_fullStr | Strength in numbers: Collaborative science for new experimental model systems |
title_full_unstemmed | Strength in numbers: Collaborative science for new experimental model systems |
title_short | Strength in numbers: Collaborative science for new experimental model systems |
title_sort | strength in numbers: collaborative science for new experimental model systems |
topic | Community Page |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044537/ https://www.ncbi.nlm.nih.gov/pubmed/29965960 http://dx.doi.org/10.1371/journal.pbio.2006333 |
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