Evidence map›Paper›PMID 31417513›Full record

ArticleFrontiers in microbiology2019

Temperature Response of Planktonic Microbiota in Remote Alpine Lakes.

Yiming Jiang, Haiying Huang, Tianli Ma, Jinlong Ru, Stephan Blank, Rainer Kurmayer, Li Deng

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yiming JiangInstitute of Virology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Haiying HuangInstitute of Virology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Tianli MaInstitute of Virology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Jinlong RuInstitute of Virology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Stephan BlankResearch Department for Limnology, Mondsee, University of Innsbruck, Innsbruck, Austria.
Rainer KurmayerResearch Department for Limnology, Mondsee, University of Innsbruck, Innsbruck, Austria.
Li DengInstitute of Virology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

activation energyclimate changegrowing seasonshigh mountain lakesmetabarcodingnutrient levelrichness

Identifiers

PMID31417513
PMCPMC6685043

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.