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Predicting nutrient content of ray-finned fishes using phylogenetic information

Human food and nutrition security is dependent on marine ecosystems threatened by overfishing, climate change, and other processes. The consequences on human nutritional status are uncertain, in part because current methods of analyzing fish nutrient content are expensive. Here, we evaluate the poss...

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Autores principales: Vaitla, Bapu, Collar, David, Smith, Matthew R., Myers, Samuel S., Rice, Benjamin L., Golden, Christopher D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156416/
https://www.ncbi.nlm.nih.gov/pubmed/30254265
http://dx.doi.org/10.1038/s41467-018-06199-w
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author Vaitla, Bapu
Collar, David
Smith, Matthew R.
Myers, Samuel S.
Rice, Benjamin L.
Golden, Christopher D.
author_facet Vaitla, Bapu
Collar, David
Smith, Matthew R.
Myers, Samuel S.
Rice, Benjamin L.
Golden, Christopher D.
author_sort Vaitla, Bapu
collection PubMed
description Human food and nutrition security is dependent on marine ecosystems threatened by overfishing, climate change, and other processes. The consequences on human nutritional status are uncertain, in part because current methods of analyzing fish nutrient content are expensive. Here, we evaluate the possibility of predicting nutrient content of ray-finned fishes using existing phylogenetic and life history information. We focus on nutrients for which fish are important sources: protein, total fat, omega-3 and omega-6 fatty acids, iron, zinc, vitamin A, vitamin B12, and vitamin D. Our results show that life history traits are weak predictors of species nutrient content, but phylogenetic relatedness is associated with similar nutrient profiles. Further, we develop a method for predicting the nutrient content of 7500+ species based on phylogenetic relationships to species with known nutrient content. Our approach is a cost-effective means for estimating potential changes in human nutrient intake associated with altered access to ray-finned fishes.
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spelling pubmed-61564162018-09-27 Predicting nutrient content of ray-finned fishes using phylogenetic information Vaitla, Bapu Collar, David Smith, Matthew R. Myers, Samuel S. Rice, Benjamin L. Golden, Christopher D. Nat Commun Article Human food and nutrition security is dependent on marine ecosystems threatened by overfishing, climate change, and other processes. The consequences on human nutritional status are uncertain, in part because current methods of analyzing fish nutrient content are expensive. Here, we evaluate the possibility of predicting nutrient content of ray-finned fishes using existing phylogenetic and life history information. We focus on nutrients for which fish are important sources: protein, total fat, omega-3 and omega-6 fatty acids, iron, zinc, vitamin A, vitamin B12, and vitamin D. Our results show that life history traits are weak predictors of species nutrient content, but phylogenetic relatedness is associated with similar nutrient profiles. Further, we develop a method for predicting the nutrient content of 7500+ species based on phylogenetic relationships to species with known nutrient content. Our approach is a cost-effective means for estimating potential changes in human nutrient intake associated with altered access to ray-finned fishes. Nature Publishing Group UK 2018-09-25 /pmc/articles/PMC6156416/ /pubmed/30254265 http://dx.doi.org/10.1038/s41467-018-06199-w Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Vaitla, Bapu
Collar, David
Smith, Matthew R.
Myers, Samuel S.
Rice, Benjamin L.
Golden, Christopher D.
Predicting nutrient content of ray-finned fishes using phylogenetic information
title 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_short Predicting nutrient content of ray-finned fishes using phylogenetic information
title_sort predicting nutrient content of ray-finned fishes using phylogenetic information
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156416/
https://www.ncbi.nlm.nih.gov/pubmed/30254265
http://dx.doi.org/10.1038/s41467-018-06199-w
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