Evidence map›Paper›PMID 36038827›Full record

ArticleBMC ecology and evolution2022

Large mammal telomere length variation across ecoregions.

Christian Fohringer, Franz Hoelzl, Andrew M Allen, Claire Cayol, Göran Ericsson, Göran Spong, Steven Smith, Navinder J Singh

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Christian FohringerDepartment of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, 90183, Umeå, Sweden. fohringer.c@gmail.com.ORCID http://orcid.org/0000-0003-0257-6743
Franz HoelzlKonrad Lorenz Institute of Ethology, University of Veterinary Medicine, Savoyenstraße 1, 1160, Vienna, Austria.
Andrew M AllenDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, 6708PB, Wageningen, The Netherlands.
Claire CayolDepartment of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, 90183, Umeå, Sweden.
Göran EricssonDepartment of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, 90183, Umeå, Sweden.
Göran SpongDepartment of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, 90183, Umeå, Sweden.
Steven SmithKonrad Lorenz Institute of Ethology, University of Veterinary Medicine, Savoyenstraße 1, 1160, Vienna, Austria.
Navinder J SinghDepartment of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, 90183, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelomere length provides a physiological proxy for accumulated stress in animals. While there is a growing consensus over how telomere dynamics and their patterns are linked to life history variation and individual experience, knowledge on the impact of exposure to different stressors at a large spatial scale on telomere length is still lacking. How exposure to different stressors at a regional scale interacts with individual differences in life history is also poorly understood. To better understand large-scale regional influences, we investigated telomere length variation in moose (Alces alces) distributed across three ecoregions. We analyzed 153 samples of 106 moose representing moose of both sexes and range of ages to measure relative telomere lengths (RTL) in white blood cells.

resultsWe found that average RTL was significantly shorter in a northern (montane) and southern (sarmatic) ecoregion where moose experience chronic stress related to severe summer and winter temperatures as well as high anthropogenic land-use compared to the boreal region. Our study suggests that animals in the northern boreal forests, with relatively homogenous land use, are less disturbed by environmental and anthropogenic stressors. In contrast, animals in areas experiencing a higher rate of anthropogenic and environmental change experience increased stress.

conclusionAlthough animals can often adapt to predictable stressors, our data suggest that some environmental conditions, even though predictable and ubiquitous, can generate population level differences of long-term stress. By measuring RTL in moose for the first time, we provide valuable insights towards our current understanding of telomere biology in free-ranging wildlife in human-modified ecosystems.

Indexed as

DeerEcosystemAnimalsAnimals, WildFemaleHumansMaleSeasonsTelomereAlces alcesBiomarkerChronic stressHuman modificationLife historyTelomere associations

Identifiers

PMID36038827
PMCPMC9426267

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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.