Evidence map›Paper›PMID 31614864›Full record

ArticleGenes2019

Transcriptomics of Tasmanian Devil (

Alexandra K Fraik, Corey Quackenbush, Mark J Margres, Sebastien Comte, David G Hamilton, Christopher P Kozakiewicz, Menna Jones, Rodrigo Hamede, Paul A Hohenlohe, Andrew Storfer and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Intergenomic signatures of coevolution between Tasmanian devils and an infectious cancer.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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 3 institutions in 2 countries.

Alexandra K FraikSchool of Biological Sciences, Washington State University, Pullman, WA 99164, USA. alexandra.fraik@wsu.edu.ORCID 0000-0002-9285-1173
Corey QuackenbushSchool of Biological Sciences, Washington State University, Pullman, WA 99164, USA. corey.quackenbush@wsu.edu.
Mark J MargresSchool of Biological Sciences, Washington State University, Pullman, WA 99164, USA. mark.margres@wsu.edu.ORCID 0000-0002-6153-6701
Sebastien ComteSchool of Natural Sciences, Hobart, TAS 7001, Australia. sebastien.comte@utas.edu.au.ORCID 0000-0001-7984-8159
David G HamiltonSchool of Natural Sciences, Hobart, TAS 7001, Australia. d.g.hamilton@utas.edu.au.ORCID 0000-0001-5883-0136
Christopher P KozakiewiczSchool of Biological Sciences, Washington State University, Pullman, WA 99164, USA. chris.kozakiewicz@wsu.edu.ORCID 0000-0002-4868-9252
Menna JonesSchool of Natural Sciences, Hobart, TAS 7001, Australia. menna.jones@utas.edu.au.
Rodrigo HamedeSchool of Natural Sciences, Hobart, TAS 7001, Australia. rodrigo.hamedeross@utas.edu.au.
Paul A HohenloheDepartment of Biological Sciences, University of Idaho, Institute for Bioinformatics and Evolutionary Studies, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA. hohenlohe@uidaho.edu.
Andrew StorferDepartment of Biological Sciences, University of Idaho, Institute for Bioinformatics and Evolutionary Studies, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA. astorfer@wsu.edu.
Joanna L KelleyDepartment of Biological Sciences, University of Idaho, Institute for Bioinformatics and Evolutionary Studies, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA. joanna.l.kelley@wsu.edu.ORCID 0000-0002-7731-605X
Washington State University · USUniversity of Tasmania · AUUniversity of Idaho · US

Funding

Evolution of cancer transmissionR01GM126563 · NIGMS · WASHINGTON STATE UNIVERSITY · PI STORFER, ANDREW T · 2017 to 2020
$2.3M
NIGMS NIH HHS R01 GM126563NIH HHS R01-GM12563
6 · The paper itself

Abstract

In an era of unprecedented global change, exploring patterns of gene expression among wild populations across their geographic range is crucial for characterizing adaptive potential. RNA-sequencing studies have successfully characterized gene expression differences among populations experiencing divergent environmental conditions in a wide variety of taxa. However, few of these studies have identified transcriptomic signatures to multivariate, environmental stimuli among populations in their natural environments. Herein, we aim to identify environmental and sex-driven patterns of gene expression in the Tasmanian devil (

Indexed as

Genetic VariationAdaptation, BiologicalAnimalsCluster AnalysisComputational BiologyEarEndangered SpeciesFemaleGene Expression RegulationGene OntologyMaleMarsupialiaPopulationRNA-SeqTranscriptomeconservation genomicsgeographic variationpopulation levelRNA-sequencingsex-specific expressionTasmanian devil

Identifiers

PMID31614864
PMCPMC6826840
OpenAlexW2979940574

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.