Evidence map›Paper›PMID 33841775›Full record

ArticleEcology and evolution2021

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

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Christian FohringerDepartment of Wildlife, Fish, and Environmental Studies Swedish University of Agricultural Sciences Umeå Sweden.ORCID https://orcid.org/0000-0003-0257-6743
Ilona DudkaDepartment of Chemistry Umeå University Umeå Sweden.
Robert SpitzerDepartment of Wildlife, Fish, and Environmental Studies Swedish University of Agricultural Sciences Umeå Sweden.
Fredrik StenbackaDepartment of Wildlife, Fish, and Environmental Studies Swedish University of Agricultural Sciences Umeå Sweden.
Olena RzhepishevskaDepartment of Chemistry Umeå University Umeå Sweden.
Joris P G M CromsigtDepartment of Wildlife, Fish, and Environmental Studies Swedish University of Agricultural Sciences Umeå Sweden.
Gerhard GröbnerDepartment of Chemistry Umeå University Umeå Sweden.
Göran EricssonDepartment of Wildlife, Fish, and Environmental Studies Swedish University of Agricultural Sciences Umeå Sweden.
Navinder J SinghDepartment of Wildlife, Fish, and Environmental Studies Swedish University of Agricultural Sciences Umeå Sweden.
Swedish University of Agricultural Sciences · SEUmeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

biomarkerDNA‐metabarcodingenergy metabolismmetabolomicsnutritional ecologystarvationungulate

Identifiers

PMID33841775
PMCPMC8019042
OpenAlexW3133894728

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.