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Temperature Response of Planktonic Microbiota in Remote Alpine Lakes

Alpine lakes are considered pristine freshwater ecosystems and sensitive to direct and indirect changes in water temperature as induced by climate change. The bacterial plankton constitutes a key component in the water column and bacterial metabolic activity has direct consequences for water quality...

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Autores principales: Jiang, Yiming, Huang, Haiying, Ma, Tianli, Ru, Jinlong, Blank, Stephan, Kurmayer, Rainer, Deng, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685043/
https://www.ncbi.nlm.nih.gov/pubmed/31417513
http://dx.doi.org/10.3389/fmicb.2019.01714
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author Jiang, Yiming
Huang, Haiying
Ma, Tianli
Ru, Jinlong
Blank, Stephan
Kurmayer, Rainer
Deng, Li
author_facet Jiang, Yiming
Huang, Haiying
Ma, Tianli
Ru, Jinlong
Blank, Stephan
Kurmayer, Rainer
Deng, Li
author_sort Jiang, Yiming
collection PubMed
description Alpine lakes are considered pristine freshwater ecosystems and sensitive to direct and indirect changes in water temperature as induced by climate change. The bacterial plankton constitutes a key component in the water column and bacterial metabolic activity has direct consequences for water quality. In order to understand bacterial response to global temperature rise in five alpine lakes located in the Austrian Alps (1700–2188 m a.S.L.) water temperature was compared within a decadal period. Depth-integrated samples were characterized in community composition by 16S rDNA deep-amplicon sequencing early [56 ± 16 (SD) days after ice break up] and later (88 ± 16 days) in the growing season. Within the 10 years period, temperature rise was observed through reduced ice cover duration and increased average water temperature. During the early growing season, the average water temperature recorded between circulation in spring until sampling date (WAS), and the day of autumn circulation, as well as chemical composition including dissolved organic carbon influenced bacterial community composition. In contrast, only nutrients (such as nitrate) were found influential later in the growing season. Metabolic theory of ecology (MTE) was applied to explain the dependence of taxonomic richness on WAS in mathematical terms. The calculated activation energy exceeded the frequently reported prediction emphasizing the role of WAS during early growing season. Accordingly, the relative abundance of predicted metabolism related genes increased with WAS. Thus, the dominant influence of temperature after ice break up could be explained by overall climate change effects, such as a more intense warming in spring and an overall higher amplitude of temperature variation.
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spelling pubmed-66850432019-08-15 Temperature Response of Planktonic Microbiota in Remote Alpine Lakes Jiang, Yiming Huang, Haiying Ma, Tianli Ru, Jinlong Blank, Stephan Kurmayer, Rainer Deng, Li Front Microbiol Microbiology Alpine lakes are considered pristine freshwater ecosystems and sensitive to direct and indirect changes in water temperature as induced by climate change. The bacterial plankton constitutes a key component in the water column and bacterial metabolic activity has direct consequences for water quality. In order to understand bacterial response to global temperature rise in five alpine lakes located in the Austrian Alps (1700–2188 m a.S.L.) water temperature was compared within a decadal period. Depth-integrated samples were characterized in community composition by 16S rDNA deep-amplicon sequencing early [56 ± 16 (SD) days after ice break up] and later (88 ± 16 days) in the growing season. Within the 10 years period, temperature rise was observed through reduced ice cover duration and increased average water temperature. During the early growing season, the average water temperature recorded between circulation in spring until sampling date (WAS), and the day of autumn circulation, as well as chemical composition including dissolved organic carbon influenced bacterial community composition. In contrast, only nutrients (such as nitrate) were found influential later in the growing season. Metabolic theory of ecology (MTE) was applied to explain the dependence of taxonomic richness on WAS in mathematical terms. The calculated activation energy exceeded the frequently reported prediction emphasizing the role of WAS during early growing season. Accordingly, the relative abundance of predicted metabolism related genes increased with WAS. Thus, the dominant influence of temperature after ice break up could be explained by overall climate change effects, such as a more intense warming in spring and an overall higher amplitude of temperature variation. Frontiers Media S.A. 2019-07-31 /pmc/articles/PMC6685043/ /pubmed/31417513 http://dx.doi.org/10.3389/fmicb.2019.01714 Text en Copyright © 2019 Jiang, Huang, Ma, Ru, Blank, Kurmayer and Deng. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Jiang, Yiming
Huang, Haiying
Ma, Tianli
Ru, Jinlong
Blank, Stephan
Kurmayer, Rainer
Deng, Li
Temperature Response of Planktonic Microbiota in Remote Alpine Lakes
title Temperature Response of Planktonic Microbiota in Remote Alpine Lakes
title_full Temperature Response of Planktonic Microbiota in Remote Alpine Lakes
title_fullStr Temperature Response of Planktonic Microbiota in Remote Alpine Lakes
title_full_unstemmed Temperature Response of Planktonic Microbiota in Remote Alpine Lakes
title_short Temperature Response of Planktonic Microbiota in Remote Alpine Lakes
title_sort temperature response of planktonic microbiota in remote alpine lakes
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685043/
https://www.ncbi.nlm.nih.gov/pubmed/31417513
http://dx.doi.org/10.3389/fmicb.2019.01714
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