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Use of molecular data in zoo and aquarium collection management: Benefits, challenges, and best practices
Author(s) -
Norman Anita J.,
Putnam Andrea S.,
Ivy Jamie A.
Publication year - 2018
Publication title -
zoo biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.5
H-Index - 54
eISSN - 1098-2361
pISSN - 0733-3188
DOI - 10.1002/zoo.21451
Subject(s) - biology , identification (biology) , resource (disambiguation) , data management , sustainability , data science , environmental resource management , data collection , environmental planning , ecology , computer science , computer network , statistics , environmental science , mathematics , data mining
The global zoo and aquarium community widely recognizes that its animal collections and cooperative breeding programs are facing a sustainability crisis. It has become commonly accepted that numerous priority species cannot be maintained unless new management strategies are adopted. While molecular data have the potential to greatly improve management across a range of scenarios, they have been generally underutilized by the zoo and aquarium community. This failure to effectively apply molecular data to collection management has been due, in part, to a paucity of resources within the community on which to base informed decisions about when the use of such data is appropriate and what steps are necessary to successfully integrate data into management. Here, we identify three broad areas of inquiry where molecular data can inform management: 1) taxonomic identification; 2) incomplete or unknown pedigrees; and 3) hereditary disease. Across these topics, we offer a discussion of the advantages, limitations, and considerations for applying molecular data to ex situ animal populations in a style accessible to zoo and aquarium professionals. Ultimately, we intend for this compiled information to serve as a resource for the community to help ensure that molecular projects directly and effectively benefit the long‐term persistence of ex situ populations.

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