Evidence map›Paper›PMID 25374784›Full record

ArticlePeerJ2014

Characterization of the transcriptome, nucleotide sequence polymorphism, and natural selection in the desert adapted mouse Peromyscus eremicus.

Matthew D MacManes, Michael B Eisen

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.3field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 51 citations in OpenAlex.

  1. bioRxiv : the preprint server for biology · 2026
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  8. Lyme Disease Agent ReservoirsPathogens (Basel, Switzerland) · 2023
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  12. Review
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  15. Apolipoprotein C1: Its Pleiotropic Effects in Lipid Metabolism and Beyond.International journal of molecular sciences · 2019
    Review
  16. Article
  17. 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

2 authors at 2 institutions in 1 country.

Matthew D MacManesDepartment of Molecular, Cellular and Biomedical Sciences, University of New Hampshire , Durham, NH , USA.
Michael B EisenHoward Hughes Medical Institute, University of California , Berkeley, CA , USA.
Howard Hughes Medical Institute · USUniversity of New Hampshire · US

Funding

Using genomics to understand physiologic water conservation in desert rodentsF32DK093227 · NIDDK · UNIVERSITY OF CALIFORNIA BERKELEY · PI MACMANES, MATTHEW DAVID · 2011 to 2013
$107k
NIDDK NIH HHS F32 DK093227
6 · The paper itself

Abstract

As a direct result of intense heat and aridity, deserts are thought to be among the most harsh of environments, particularly for their mammalian inhabitants. Given that osmoregulation can be challenging for these animals, with failure resulting in death, strong selection should be observed on genes related to the maintenance of water and solute balance. One such animal, Peromyscus eremicus, is native to the desert regions of the southwest United States and may live its entire life without oral fluid intake. As a first step toward understanding the genetics that underlie this phenotype, we present a characterization of the P. eremicus transcriptome. We assay four tissues (kidney, liver, brain, testes) from a single individual and supplement this with population level renal transcriptome sequencing from 15 additional animals. We identified a set of transcripts undergoing both purifying and balancing selection based on estimates of Tajima's D. In addition, we used the branch-site test to identify a transcript-Slc2a9, likely related to desert osmoregulation-undergoing enhanced selection in P. eremicus relative to a set of related non-desert rodents.

Indexed as

DesertKidneyPeromyscusSolute carrier proteinTranscriptome

Identifiers

PMID25374784
PMCPMC4217191
OpenAlexW2144376678

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.