Predicting nutrient content of ray-finned fishes using phylogenetic information

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.

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Autores principales:	Bapu Vaitla, David Collar, Matthew R. Smith, Samuel S. Myers, Benjamin L. Rice, Christopher D. Golden
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d7a135a5bba84d3a807d37efd595768e
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spelling	oai:doaj.org-article:d7a135a5bba84d3a807d37efd595768e2021-12-02T14:40:32ZPredicting nutrient content of ray-finned fishes using phylogenetic information10.1038/s41467-018-06199-w2041-1723https://doaj.org/article/d7a135a5bba84d3a807d37efd595768e2018-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06199-whttps://doaj.org/toc/2041-1723Humans 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.Bapu VaitlaDavid CollarMatthew R. SmithSamuel S. MyersBenjamin L. RiceChristopher D. GoldenNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Bapu Vaitla David Collar Matthew R. Smith Samuel S. Myers Benjamin L. Rice Christopher D. Golden Predicting nutrient content of ray-finned fishes using phylogenetic information
description	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.
format	article
author	Bapu Vaitla David Collar Matthew R. Smith Samuel S. Myers Benjamin L. Rice Christopher D. Golden
author_facet	Bapu Vaitla David Collar Matthew R. Smith Samuel S. Myers Benjamin L. Rice Christopher D. Golden
author_sort	Bapu Vaitla
title	Predicting nutrient content of ray-finned fishes using phylogenetic information
title_short	Predicting nutrient content of ray-finned fishes using phylogenetic information
title_full	Predicting nutrient content of ray-finned fishes using phylogenetic information
title_fullStr	Predicting nutrient content of ray-finned fishes using phylogenetic information
title_full_unstemmed	Predicting nutrient content of ray-finned fishes using phylogenetic information
title_sort	predicting nutrient content of ray-finned fishes using phylogenetic information
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/d7a135a5bba84d3a807d37efd595768e
work_keys_str_mv	AT bapuvaitla predictingnutrientcontentofrayfinnedfishesusingphylogeneticinformation AT davidcollar predictingnutrientcontentofrayfinnedfishesusingphylogeneticinformation AT matthewrsmith predictingnutrientcontentofrayfinnedfishesusingphylogeneticinformation AT samuelsmyers predictingnutrientcontentofrayfinnedfishesusingphylogeneticinformation AT benjaminlrice predictingnutrientcontentofrayfinnedfishesusingphylogeneticinformation AT christopherdgolden predictingnutrientcontentofrayfinnedfishesusingphylogeneticinformation
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Predicting nutrient content of ray-finned fishes using phylogenetic information

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