Evidence map›Paper›PMID 25667604›Full record

ArticleEvolutionary applications2015

Disease and freeways drive genetic change in urban bobcat populations.

Laurel E K Serieys, Amanda Lea, John P Pollinger, Seth P D Riley, Robert K Wayne

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 78 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

5 authors at 3 institutions in 1 country.

Laurel E K SerieysDepartment of Ecology and Evolutionary Biology, University of California Los Angeles, CA, USA.
Amanda LeaDepartment of Biology, Duke University Durham, NC, USA.
John P PollingerDepartment of Ecology and Evolutionary Biology, University of California Los Angeles, CA, USA.
Seth P D RileySanta Monica Mountains National Recreation Area, National Park Service Thousand Oaks, CA, USA.
Robert K WayneDepartment of Ecology and Evolutionary Biology, University of California Los Angeles, CA, USA.
University of California, Los Angeles · USDuke University · USNational Park Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urbanization profoundly impacts animal populations by causing isolation, increased susceptibility to disease, and exposure to toxicants. Genetic effects include reduced effective population size, increased population substructure, and decreased adaptive potential. We investigated the influence that urbanization and a disease epizootic had on the population genetics of bobcats (Lynx rufus) distributed across a highly fragmented urban landscape. We genotyped more than 300 bobcats, sampled from 1996 to 2012, for variation at nine neutral and seven immune gene-linked microsatellite loci. We found that two freeways are significant barriers to gene flow. Further, a 3-year disease epizootic, associated with secondary anticoagulant rodenticide exposure, caused a population bottleneck that led to significant genetic differentiation between pre- and post-disease populations that was greater than that between populations separated by major freeways for >60 years. However, balancing selection acted on immune-linked loci during the epizootic, maintaining variation at functional regions. Conservation assessments need to assay loci that are potentially under selection to better preserve the adaptive potential of populations at the urban-wildland interface. Further, interconnected regions that contain appropriate habitat for wildlife will be critical to the long-term viability of animal populations in urban landscapes.

Indexed as

balancing selectiondiseasefreewaysimmune-linked locimajor histocompatibility complexpopulation structureToll-like receptorsurbanization

Identifiers

PMID25667604
PMCPMC4310583
OpenAlexW2145357187

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.