Evidence map›Paper›PMID 30544757›Full record

ArticleGenes2018

Rediscovery of Red Wolf Ghost Alleles in a Canid Population Along the American Gulf Coast.

Elizabeth Heppenheimer, Kristin E Brzeski, Ron Wooten, William Waddell, Linda Y Rutledge, Michael J Chamberlain, Daniel R Stahler, Joseph W Hinton, Bridgett M vonHoldt

Abstract read
In one paragraph

Article in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

9 authors.

Elizabeth HeppenheimerEcology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. eh7@princeton.edu.ORCID 0000-0002-9164-3436
Kristin E BrzeskiEcology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. kbrzeski@mtu.edu.
Ron WootenWildlife Biologist, Galveston, TX 77550, USA. Ronald.B.Wooten@usace.army.mil.
William WaddellZoological and Environmental Education Department, Point Defiance Zoo & Aquarium, Tacoma, WA 98407, USA. firthoclyde53@gmail.com.
Linda Y RutledgeEcology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. lrutledge@trentu.ca.ORCID 0000-0002-9164-3436
Michael J ChamberlainWarnell School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602, USA. mchamb@uga.edu.
Daniel R StahlerYellowstone Center for Resources, National Park Service, Yellowstone National Park, WY 82190, USA. dan_stahler@nps.gov.
Joseph W HintonWarnell School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602, USA. jhinton@uga.edu.ORCID 0000-0002-2602-0400
Bridgett M vonHoldtEcology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. vonholdt@princeton.edu.

Funding

National Science Foundation 1523859National Science Foundation DEB-1245373Point Defiance Zoo and Aquarium Dr. Holly Reed Conservation FundYellowstone Forever Yellowstone Forever
6 · The paper itself

Abstract

Rediscovering species once thought to be extinct or on the edge of extinction is rare. Red wolves have been extinct along the American Gulf Coast since 1980, with their last populations found in coastal Louisiana and Texas. We report the rediscovery of red wolf ghost alleles in a canid population on Galveston Island, Texas. We analyzed over 7000 single nucleotide polymorphisms (SNPs) in 60 canid representatives from all legally recognized North American

Indexed as

allele sharingcoyotesghost allelesRADseqred wolvesremnant genomes

Identifiers

PMID30544757
PMCPMC6315914

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.