Cargando…

Ecosystem size predicts eco‐morphological variability in a postglacial diversification

Identifying the processes by which new phenotypes and species emerge has been a long‐standing effort in evolutionary biology. Young adaptive radiations provide a model to study patterns of morphological and ecological diversification in environmental context. Here, we use the recent radiation (ca. 1...

Descripción completa

Detalles Bibliográficos
Autores principales: Recknagel, Hans, Hooker, Oliver E., Adams, Colin E., Elmer, Kathryn R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552947/
https://www.ncbi.nlm.nih.gov/pubmed/28811875
http://dx.doi.org/10.1002/ece3.3013
_version_ 1783256553349971968
author Recknagel, Hans
Hooker, Oliver E.
Adams, Colin E.
Elmer, Kathryn R.
author_facet Recknagel, Hans
Hooker, Oliver E.
Adams, Colin E.
Elmer, Kathryn R.
author_sort Recknagel, Hans
collection PubMed
description Identifying the processes by which new phenotypes and species emerge has been a long‐standing effort in evolutionary biology. Young adaptive radiations provide a model to study patterns of morphological and ecological diversification in environmental context. Here, we use the recent radiation (ca. 12k years old) of the freshwater fish Arctic charr (Salvelinus alpinus) to identify abiotic and biotic environmental factors associated with adaptive morphological variation. Arctic charr are exceptionally diverse, and in postglacial lakes there is strong evidence of repeated parallel evolution of similar morphologies associated with foraging. We measured head depth (a trait reflecting general eco‐morphology and foraging ecology) of 1,091 individuals across 30 lake populations to test whether fish morphological variation was associated with lake bathymetry and/or ecological parameters. Across populations, we found a significant relationship between the variation in head depth of the charr and abiotic environmental characteristics: positively with ecosystem size (i.e., lake volume, surface area, depth) and negatively with the amount of littoral zone. In addition, extremely robust‐headed phenotypes tended to be associated with larger and deeper lakes. We identified no influence of co‐existing biotic community on Arctic charr trophic morphology. This study evidences the role of the extrinsic environment as a facilitator of rapid eco‐morphological diversification.
format Online
Article
Text
id pubmed-5552947
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-55529472017-08-15 Ecosystem size predicts eco‐morphological variability in a postglacial diversification Recknagel, Hans Hooker, Oliver E. Adams, Colin E. Elmer, Kathryn R. Ecol Evol Original Research Identifying the processes by which new phenotypes and species emerge has been a long‐standing effort in evolutionary biology. Young adaptive radiations provide a model to study patterns of morphological and ecological diversification in environmental context. Here, we use the recent radiation (ca. 12k years old) of the freshwater fish Arctic charr (Salvelinus alpinus) to identify abiotic and biotic environmental factors associated with adaptive morphological variation. Arctic charr are exceptionally diverse, and in postglacial lakes there is strong evidence of repeated parallel evolution of similar morphologies associated with foraging. We measured head depth (a trait reflecting general eco‐morphology and foraging ecology) of 1,091 individuals across 30 lake populations to test whether fish morphological variation was associated with lake bathymetry and/or ecological parameters. Across populations, we found a significant relationship between the variation in head depth of the charr and abiotic environmental characteristics: positively with ecosystem size (i.e., lake volume, surface area, depth) and negatively with the amount of littoral zone. In addition, extremely robust‐headed phenotypes tended to be associated with larger and deeper lakes. We identified no influence of co‐existing biotic community on Arctic charr trophic morphology. This study evidences the role of the extrinsic environment as a facilitator of rapid eco‐morphological diversification. John Wiley and Sons Inc. 2017-06-15 /pmc/articles/PMC5552947/ /pubmed/28811875 http://dx.doi.org/10.1002/ece3.3013 Text en © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Recknagel, Hans
Hooker, Oliver E.
Adams, Colin E.
Elmer, Kathryn R.
Ecosystem size predicts eco‐morphological variability in a postglacial diversification
title Ecosystem size predicts eco‐morphological variability in a postglacial diversification
title_full Ecosystem size predicts eco‐morphological variability in a postglacial diversification
title_fullStr Ecosystem size predicts eco‐morphological variability in a postglacial diversification
title_full_unstemmed Ecosystem size predicts eco‐morphological variability in a postglacial diversification
title_short Ecosystem size predicts eco‐morphological variability in a postglacial diversification
title_sort ecosystem size predicts eco‐morphological variability in a postglacial diversification
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552947/
https://www.ncbi.nlm.nih.gov/pubmed/28811875
http://dx.doi.org/10.1002/ece3.3013
work_keys_str_mv AT recknagelhans ecosystemsizepredictsecomorphologicalvariabilityinapostglacialdiversification
AT hookerolivere ecosystemsizepredictsecomorphologicalvariabilityinapostglacialdiversification
AT adamscoline ecosystemsizepredictsecomorphologicalvariabilityinapostglacialdiversification
AT elmerkathrynr ecosystemsizepredictsecomorphologicalvariabilityinapostglacialdiversification