A family of interaction-adjusted indices of community similarity
| Autor: | Schmidt, Thomas Sebastian Benedikt, Matias Rodrigues, Joao Frederico, von Mering, Christian |
|---|---|
| Přispěvatelé: | University of Zurich, Schmidt, Thomas Sebastian Benedikt |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Oceans and Seas Ecology (disciplines) media_common.quotation_subject Context (language use) Biology Models Biological Microbiology UFSP13-7 Evolution in Action: From Genomes to Ecosystems 03 medical and health sciences Similarity (network science) Humans Ecosystem Phylogeny Soil Microbiology Ecology Evolution Behavior and Systematics 030304 developmental biology media_common 0303 health sciences Bacteria Phylogenetic tree Community 030306 microbiology Ecology 2404 Microbiology Computational Biology Biota 10124 Institute of Molecular Life Sciences 1105 Ecology Evolution Behavior and Systematics 030104 developmental biology Taxon Habitat Evolutionary biology 570 Life sciences biology Original Article Water Microbiology Diversity (politics) |
| Zdroj: | The ISME Journal ISME Journal |
| ISSN: | 1751-7370 1751-7362 |
| Popis: | Interactions between taxa are essential drivers of ecological community structure and dynamics, but they are not taken into account by traditional indices of 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 assess the performance of two specific indices which 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink