Evidence map›Paper›PMID 36138067›Full record

ArticleScientific reports2022

Correlating gut microbial membership to brown bear health metrics.

Sarah M Trujillo, Erin A McKenney, Grant V Hilderbrand, Lindsey S Mangipane, Matthew C Rogers, Kyle Joly, David D Gustine, Joy A Erlenbach, Buck A Mangipane, Diana J R Lafferty

Abstract read
In one paragraph

Article in Scientific reports, 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
  2. Article
  3. Article
  4. 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

10 authors.

Sarah M TrujilloWildlife Ecology and Conservation Science Lab, Department of Biology, Northern Michigan University, Marquette, MI, 49855, USA. sarah.m.trujillo@gmail.com.
Erin A McKenneyDepartment of Applied Ecology, North Carolina State University, Raleigh, NC, 27607, USA.
Grant V HilderbrandNatural Resources Team, National Park Service, Anchorage, AK, 99501, USA.
Lindsey S MangipaneMarine Mammals Management, U.S. Fish and Wildlife Service, Anchorage, AK, 99503, USA.
Matthew C RogersNational Oceanic and Atmospheric Administration, National Marine Fisheries Service, Juneau, AK, 99801, USA.
Kyle JolyGates of the Arctic National Park and Preserve, National Park Service, Fairbanks, AK, 99709, USA.
David D GustineMarine Mammals Management, U.S. Fish and Wildlife Service, Anchorage, AK, 99503, USA.
Joy A ErlenbachKodiak National Wildlife Refuge, U.S. Fish and Wildlife Service, Kodiak, AK, 99615, USA.
Buck A MangipaneLake Clark National Park and Preserve, National Park Service, Anchorage, AK, 99501, USA.
Diana J R LaffertyWildlife Ecology and Conservation Science Lab, Department of Biology, Northern Michigan University, Marquette, MI, 49855, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The internal mechanisms responsible for modulating physiological condition, particularly those performed by the gut microbiome (GMB), remain under-explored in wildlife. However, as latitudinal and seasonal shifts in resource availability occur, the myriad micro-ecosystem services facilitated by the GMB may be especially important to wildlife health and resilience. Here, we use brown bears (Ursus arctos) as an ecological model to quantify the relationship between wildlife body condition metrics that are commonly used to assess individual and population-level health and GMB community composition and structure. To achieve these aims, we subsampled brown bear fecal samples collected during United States National Park Service research activities at three National Parks and Preserves (Katmai, Lake Clark, and Gates of the Arctic) and extracted microbial DNA for 16S rRNA amplicon sequencing and microbial taxonomic classification. We analyzed GMB communities using alpha diversity indices, subsequently using Spearman's correlation analysis to examine relationships between alpha diversity and brown bear health metrics. We found no differences in GMB composition among bears with differing body conditions, nor any correlations between alpha diversity and body condition. Our results indicate that GMB composition reflects diverse foraging strategies while allowing brown bears to achieve similar body condition outcomes.

Indexed as

Gastrointestinal MicrobiomeUrsidaeAnimalsEcosystemQuality Indicators, Health CareRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID36138067
PMCPMC9499961

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.