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A family of interaction-adjusted indices of community similarity
Interactions between taxa are essential drivers of ecological community structure and dynamics, but they are not taken into account by traditional indices of β diversity. In this study, we propose a novel family of indices that quantify community similarity in the context of taxa interaction network...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322292/ https://www.ncbi.nlm.nih.gov/pubmed/27935587 http://dx.doi.org/10.1038/ismej.2016.139 |
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author | Schmidt, Thomas Sebastian Benedikt Matias Rodrigues, João Frederico von Mering, Christian |
author_facet | Schmidt, Thomas Sebastian Benedikt Matias Rodrigues, João Frederico von Mering, Christian |
author_sort | Schmidt, Thomas Sebastian Benedikt |
collection | PubMed |
description | Interactions between taxa are essential drivers of ecological community structure and dynamics, but they are not taken into account by traditional indices of β diversity. In this study, we propose a novel family of indices that quantify community similarity in the context of taxa interaction networks. Using publicly available datasets, we assessed the performance of two specific indices that are Taxa INteraction-Adjusted (TINA, based on taxa co-occurrence networks), and Phylogenetic INteraction-Adjusted (PINA, based on phylogenetic similarities). TINA and PINA outperformed traditional indices when partitioning human-associated microbial communities according to habitat, even for extremely downsampled datasets, and when organising ocean micro-eukaryotic plankton diversity according to geographical and physicochemical gradients. We argue that interaction-adjusted indices capture novel aspects of diversity outside the scope of traditional approaches, highlighting the biological significance of ecological association networks in the interpretation of community similarity. |
format | Online Article Text |
id | pubmed-5322292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53222922017-03-01 A family of interaction-adjusted indices of community similarity Schmidt, Thomas Sebastian Benedikt Matias Rodrigues, João Frederico von Mering, Christian ISME J Original Article Interactions between taxa are essential drivers of ecological community structure and dynamics, but they are not taken into account by traditional indices of β diversity. In this study, we propose a novel family of indices that quantify community similarity in the context of taxa interaction networks. Using publicly available datasets, we assessed the performance of two specific indices that are Taxa INteraction-Adjusted (TINA, based on taxa co-occurrence networks), and Phylogenetic INteraction-Adjusted (PINA, based on phylogenetic similarities). TINA and PINA outperformed traditional indices when partitioning human-associated microbial communities according to habitat, even for extremely downsampled datasets, and when organising ocean micro-eukaryotic plankton diversity according to geographical and physicochemical gradients. We argue that interaction-adjusted indices capture novel aspects of diversity outside the scope of traditional approaches, highlighting the biological significance of ecological association networks in the interpretation of community similarity. Nature Publishing Group 2017-03 2016-12-09 /pmc/articles/PMC5322292/ /pubmed/27935587 http://dx.doi.org/10.1038/ismej.2016.139 Text en Copyright © 2017 International Society for Microbial Ecology http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Schmidt, Thomas Sebastian Benedikt Matias Rodrigues, João Frederico von Mering, Christian A family of interaction-adjusted indices of community similarity |
title | A family of interaction-adjusted indices of community similarity |
title_full | A family of interaction-adjusted indices of community similarity |
title_fullStr | A family of interaction-adjusted indices of community similarity |
title_full_unstemmed | A family of interaction-adjusted indices of community similarity |
title_short | A family of interaction-adjusted indices of community similarity |
title_sort | family of interaction-adjusted indices of community similarity |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322292/ https://www.ncbi.nlm.nih.gov/pubmed/27935587 http://dx.doi.org/10.1038/ismej.2016.139 |
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