Strength in numbers : collaborative science for new experimental model systems

dc.contributor.author Waller, Ross F.
dc.contributor.author Cleves, Phillip A.
dc.contributor.author Rubio-Brotons, Maria
dc.contributor.author Woods, April
dc.contributor.author Bender, Sara J.
dc.contributor.author Edgcomb, Virginia P.
dc.contributor.author Gann, Eric R.
dc.contributor.author Jones, Adam C.
dc.contributor.author Teytelman, Leonid
dc.contributor.author von Dassow, Peter
dc.contributor.author Wilhelm, Steven W.
dc.contributor.author Collier, Jackie L.
dc.date.accessioned 2018-08-16T15:42:35Z
dc.date.available 2018-08-16T15:42:35Z
dc.date.issued 2018-07-02
dc.description The work is made available under the Creative Commons CCO public domain dedication.. The definitive version was published in PLoS Biology 16 (2018): e2006333, doi:10.1371/journal.pbio.2006333. en_US
dc.description.abstract 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. en_US
dc.description.sponsorship The research efforts, connections, and collaborations described in this paper and protocols.io (https://www.protocols.io/) were supported by the Gordon and Betty Moore Foundation’s Marine Microbiology Initiative. en_US
dc.identifier.citation PLoS Biology 16 (2018): e2006333 en_US
dc.identifier.doi 10.1371/journal.pbio.2006333
dc.identifier.uri https://hdl.handle.net/1912/10522
dc.language.iso en_US en_US
dc.publisher Public Library of Science en_US
dc.relation.uri https://doi.org/10.1371/journal.pbio.2006333
dc.rights CC0 1.0 Universal *
dc.rights.uri http://creativecommons.org/publicdomain/zero/1.0/ *
dc.title Strength in numbers : collaborative science for new experimental model systems en_US
dc.type Article en_US
dspace.entity.type Publication
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