Integrating omics to characterize eco‐physiological adaptations: How moose diet and metabolism differ across biogeographic zones
Abstract With accelerated land conversion and global heating at northern latitudes, it becomes crucial to understand, how life histories of animals in extreme environments adapt to these changes. Animals may either adapt by adjusting foraging behavior or through physiological responses, including ad...
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ftdoajarticles:oai:doaj.org/article:4afa598bb07d417e827357994d8aff2b 2023-05-15T13:13:41+02:00 Integrating omics to characterize eco‐physiological adaptations: How moose diet and metabolism differ across biogeographic zones Christian Fohringer Ilona Dudka Robert Spitzer Fredrik Stenbacka Olena Rzhepishevska Joris P. G. M. Cromsigt Gerhard Gröbner Göran Ericsson Navinder J. Singh 2021-04-01T00:00:00Z https://doi.org/10.1002/ece3.7265 https://doaj.org/article/4afa598bb07d417e827357994d8aff2b EN eng Wiley https://doi.org/10.1002/ece3.7265 https://doaj.org/toc/2045-7758 2045-7758 doi:10.1002/ece3.7265 https://doaj.org/article/4afa598bb07d417e827357994d8aff2b Ecology and Evolution, Vol 11, Iss 7, Pp 3159-3183 (2021) biomarker DNA‐metabarcoding energy metabolism metabolomics nutritional ecology starvation Ecology QH540-549.5 article 2021 ftdoajarticles https://doi.org/10.1002/ece3.7265 2022-12-31T10:44:02Z Abstract With accelerated land conversion and global heating at northern latitudes, it becomes crucial to understand, how life histories of animals in extreme environments adapt to these changes. Animals may either adapt by adjusting foraging behavior or through physiological responses, including adjusting their energy metabolism or both. Until now, it has been difficult to study such adaptations in free‐ranging animals due to methodological constraints that prevent extensive spatiotemporal coverage of ecological and physiological data. Through a novel approach of combining DNA‐metabarcoding and nuclear magnetic resonance (NMR)‐based metabolomics, we aim to elucidate the links between diets and metabolism in Scandinavian moose Alces alces over three biogeographic zones using a unique dataset of 265 marked individuals. Based on 17 diet items, we identified four different classes of diet types that match browse species availability in respective ecoregions in northern Sweden. Individuals in the boreal zone consumed predominantly pine and had the least diverse diets, while individuals with highest diet diversity occurred in the coastal areas. Males exhibited lower average diet diversity than females. We identified several molecular markers indicating metabolic constraints linked to diet constraints in terms of food availability during winter. While animals consuming pine had higher lipid, phospocholine, and glycerophosphocholine concentrations in their serum than other diet types, birch‐ and willow/aspen‐rich diets exhibit elevated concentrations of several amino acids. The individuals with highest diet diversity had increased levels of ketone bodies, indicating extensive periods of starvation for these individuals. Our results show how the adaptive capacity of moose at the eco‐physiological level varies over a large eco‐geographic scale and how it responds to land use pressures. In light of extensive ongoing climate and land use changes, these findings pave the way for future scenario building for animal adaptive ... Article in Journal/Newspaper Alces alces Northern Sweden Directory of Open Access Journals: DOAJ Articles Ecology and Evolution 11 7 3159 3183 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
biomarker DNA‐metabarcoding energy metabolism metabolomics nutritional ecology starvation Ecology QH540-549.5 |
spellingShingle |
biomarker DNA‐metabarcoding energy metabolism metabolomics nutritional ecology starvation Ecology QH540-549.5 Christian Fohringer Ilona Dudka Robert Spitzer Fredrik Stenbacka Olena Rzhepishevska Joris P. G. M. Cromsigt Gerhard Gröbner Göran Ericsson Navinder J. Singh Integrating omics to characterize eco‐physiological adaptations: How moose diet and metabolism differ across biogeographic zones |
topic_facet |
biomarker DNA‐metabarcoding energy metabolism metabolomics nutritional ecology starvation Ecology QH540-549.5 |
description |
Abstract With accelerated land conversion and global heating at northern latitudes, it becomes crucial to understand, how life histories of animals in extreme environments adapt to these changes. Animals may either adapt by adjusting foraging behavior or through physiological responses, including adjusting their energy metabolism or both. Until now, it has been difficult to study such adaptations in free‐ranging animals due to methodological constraints that prevent extensive spatiotemporal coverage of ecological and physiological data. Through a novel approach of combining DNA‐metabarcoding and nuclear magnetic resonance (NMR)‐based metabolomics, we aim to elucidate the links between diets and metabolism in Scandinavian moose Alces alces over three biogeographic zones using a unique dataset of 265 marked individuals. Based on 17 diet items, we identified four different classes of diet types that match browse species availability in respective ecoregions in northern Sweden. Individuals in the boreal zone consumed predominantly pine and had the least diverse diets, while individuals with highest diet diversity occurred in the coastal areas. Males exhibited lower average diet diversity than females. We identified several molecular markers indicating metabolic constraints linked to diet constraints in terms of food availability during winter. While animals consuming pine had higher lipid, phospocholine, and glycerophosphocholine concentrations in their serum than other diet types, birch‐ and willow/aspen‐rich diets exhibit elevated concentrations of several amino acids. The individuals with highest diet diversity had increased levels of ketone bodies, indicating extensive periods of starvation for these individuals. Our results show how the adaptive capacity of moose at the eco‐physiological level varies over a large eco‐geographic scale and how it responds to land use pressures. In light of extensive ongoing climate and land use changes, these findings pave the way for future scenario building for animal adaptive ... |
format |
Article in Journal/Newspaper |
author |
Christian Fohringer Ilona Dudka Robert Spitzer Fredrik Stenbacka Olena Rzhepishevska Joris P. G. M. Cromsigt Gerhard Gröbner Göran Ericsson Navinder J. Singh |
author_facet |
Christian Fohringer Ilona Dudka Robert Spitzer Fredrik Stenbacka Olena Rzhepishevska Joris P. G. M. Cromsigt Gerhard Gröbner Göran Ericsson Navinder J. Singh |
author_sort |
Christian Fohringer |
title |
Integrating omics to characterize eco‐physiological adaptations: How moose diet and metabolism differ across biogeographic zones |
title_short |
Integrating omics to characterize eco‐physiological adaptations: How moose diet and metabolism differ across biogeographic zones |
title_full |
Integrating omics to characterize eco‐physiological adaptations: How moose diet and metabolism differ across biogeographic zones |
title_fullStr |
Integrating omics to characterize eco‐physiological adaptations: How moose diet and metabolism differ across biogeographic zones |
title_full_unstemmed |
Integrating omics to characterize eco‐physiological adaptations: How moose diet and metabolism differ across biogeographic zones |
title_sort |
integrating omics to characterize eco‐physiological adaptations: how moose diet and metabolism differ across biogeographic zones |
publisher |
Wiley |
publishDate |
2021 |
url |
https://doi.org/10.1002/ece3.7265 https://doaj.org/article/4afa598bb07d417e827357994d8aff2b |
genre |
Alces alces Northern Sweden |
genre_facet |
Alces alces Northern Sweden |
op_source |
Ecology and Evolution, Vol 11, Iss 7, Pp 3159-3183 (2021) |
op_relation |
https://doi.org/10.1002/ece3.7265 https://doaj.org/toc/2045-7758 2045-7758 doi:10.1002/ece3.7265 https://doaj.org/article/4afa598bb07d417e827357994d8aff2b |
op_doi |
https://doi.org/10.1002/ece3.7265 |
container_title |
Ecology and Evolution |
container_volume |
11 |
container_issue |
7 |
container_start_page |
3159 |
op_container_end_page |
3183 |
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1766259885436043264 |