Evidence map›Paper›PMID 35314789›Full record

ArticleHeredity2022

Contrasting genetic trajectories of endangered and expanding red fox populations in the western U.S.

Cate B Quinn, Sophie Preckler-Quisquater, Jocelyn R Akins, Patrick R Cross, Preston B Alden, Stevi L Vanderzwan, John A Stephenson, Pete J Figura, Gregory A Green, Tim L Hiller and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Heredity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

11 authors at 6 institutions in 1 country.

Cate B QuinnMammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, University of California, Davis, 1 Shields Avenue, Davis, CA, 95616, USA. cbquinn@ucdavis.edu.ORCID http://orcid.org/0000-0002-7685-362X
Sophie Preckler-QuisquaterMammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, University of California, Davis, 1 Shields Avenue, Davis, CA, 95616, USA.ORCID http://orcid.org/0000-0001-8885-5297
Jocelyn R AkinsCascades Carnivore Project, 309 Oak Street, Suite 201, Hood River, OR, 97301, USA.
Patrick R CrossYellowstone Ecological Research Center, 4135 Valley Commons Drive Suite D, Bozeman, MT, 59718, USA.
Preston B AldenMammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, University of California, Davis, 1 Shields Avenue, Davis, CA, 95616, USA.
Stevi L VanderzwanMammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, University of California, Davis, 1 Shields Avenue, Davis, CA, 95616, USA.
John A StephensonGrand Teton National Park, PO Drawer 170, Moose, WY, 83012, USA.
Pete J FiguraCalifornia Department of Fish and Wildlife, 601 Locust Street, Redding, CA, 96001, USA.
Gregory A GreenHuxley College of the Environment, Western Washington University, Bellingham, WA, 98225, USA.
Tim L HillerWildlife Ecology Institute, P.O. Box 4725, Helena, MT, 59604, USA.
Benjamin N SacksMammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, University of California, Davis, 1 Shields Avenue, Davis, CA, 95616, USA.
University of California, Davis · USCalifornia Department of Fish and Wildlife · USCascade (United States) · USGrand Teton National ParkWestern Washington University · USYellowstone Ecological Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As anthropogenic disturbances continue to drive habitat loss and range contractions, the maintenance of evolutionary processes will increasingly require targeting measures to the population level, even for common and widespread species. Doing so requires detailed knowledge of population genetic structure, both to identify populations of conservation need and value, as well as to evaluate suitability of potential donor populations. We conducted a range-wide analysis of the genetic structure of red foxes in the contiguous western U.S., including a federally endangered distinct population segment of the Sierra Nevada subspecies, with the objectives of contextualizing field observations of relative scarcity in the Pacific mountains and increasing abundance in the cold desert basins of the Intermountain West. Using 31 autosomal microsatellites, along with mitochondrial and Y-chromosome markers, we found that populations of the Pacific mountains were isolated from one another and genetically depauperate (e.g., estimated Ne range = 3-9). In contrast, red foxes in the Intermountain regions showed relatively high connectivity and genetic diversity. Although most Intermountain red foxes carried indigenous western matrilines (78%) and patrilines (85%), the presence of nonindigenous haplotypes at lower elevations indicated admixture with fur-farm foxes and possibly expanding midcontinent populations as well. Our findings suggest that some Pacific mountain populations could likely benefit from increased connectivity (i.e., genetic rescue) but that nonnative admixture makes expanding populations in the Intermountain basins a non-ideal source. However, our results also suggest contact between Pacific mountain and Intermountain basin populations is likely to increase regardless, warranting consideration of risks and benefits of proactive measures to mitigate against unwanted effects of Intermountain gene flow.

Indexed as

FoxesMicrosatellite RepeatsAnimalsGene FlowGenetic MarkersGenetic VariationHaplotypesUnited StatesGenetic Markers

Identifiers

PMID35314789
PMCPMC9338314
OpenAlexW4220655527

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.