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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-6156416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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