Predicting nutrient content of ray-finned fishes using phylogenetic information

Bapu Vaitla; David Collar; Matthew R. Smith; Samuel S. Myers; Benjamin L. Rice; Christopher D. Golden

doi:10.1038/s41467-018-06199-w

Nature Communications (Sep 2018)

Predicting nutrient content of ray-finned fishes using phylogenetic information

Bapu Vaitla,
David Collar,
Matthew R. Smith,
Samuel S. Myers,
Benjamin L. Rice,
Christopher D. Golden

Affiliations

Bapu Vaitla: Department of Nutrition, Harvard TH Chan School of Public Health, Harvard University
David Collar: Department of Organismal & Environmental Biology, Christopher Newport University, One Avenue of the Arts
Matthew R. Smith: Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University
Samuel S. Myers: Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University
Benjamin L. Rice: Department of Organismic and Evolutionary Biology, Harvard University
Christopher D. Golden: Department of Nutrition, Harvard TH Chan School of Public Health, Harvard University

DOI: https://doi.org/10.1038/s41467-018-06199-w
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 10

Abstract

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Humans increasingly depend on seafood for nutrition, but nutrient content is unknown for the vast majority of fish species. Here, the authors use phylogenetic analyses and data imputation to predict the nutrient content of fish that are under-studied but that could be of future dietary importance.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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