Evidence map›Paper›PMID 25289178›Full record

ArticlePeerJ2014

A candidate multimodal functional genetic network for thermal adaptation.

Katharina C Wollenberg Valero, Rachana Pathak, Indira Prajapati, Shannon Bankston, Aprylle Thompson, Jaytriece Usher, Raphael D Isokpehi

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

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  8. Frontiers in veterinary science · 2022
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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

7 authors at 1 institution in 1 country.

Katharina C Wollenberg ValeroCollege of Science, Engineering and Mathematics, Bethune-Cookman University , Daytona Beach, FL , USA.
Rachana PathakCollege of Science, Engineering and Mathematics, Bethune-Cookman University , Daytona Beach, FL , USA.
Indira PrajapatiCollege of Science, Engineering and Mathematics, Bethune-Cookman University , Daytona Beach, FL , USA.
Shannon BankstonCollege of Science, Engineering and Mathematics, Bethune-Cookman University , Daytona Beach, FL , USA.
Aprylle ThompsonCollege of Science, Engineering and Mathematics, Bethune-Cookman University , Daytona Beach, FL , USA.
Jaytriece UsherCollege of Science, Engineering and Mathematics, Bethune-Cookman University , Daytona Beach, FL , USA.
Raphael D IsokpehiCollege of Science, Engineering and Mathematics, Bethune-Cookman University , Daytona Beach, FL , USA.
Bethune-Cookman University · US

Funding

Understanding Obesity In Relation to the Built EnvironmentP20MD006899 · NIMHD · JACKSON STATE UNIVERSITY · PI ANTOINE-LAVIGNE, DONNA A · 2012 to 2016
$5.3M
Bioinformatics Programs at Minority InstitutionsT36GM095335 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI ROPELEWSKI, ALEXANDER J · 2011 to 2015
$3.2M
NIGMS NIH HHS T36 GM095335NIMHD NIH HHS P20 MD006899
6 · The paper itself

Abstract

Vertebrate ectotherms such as reptiles provide ideal organisms for the study of adaptation to environmental thermal change. Comparative genomic and exomic studies can recover markers that diverge between warm and cold adapted lineages, but the genes that are functionally related to thermal adaptation may be difficult to identify. We here used a bioinformatics genome-mining approach to predict and identify functions for suitable candidate markers for thermal adaptation in the chicken. We first established a framework of candidate functions for such markers, and then compiled the literature on genes known to adapt to the thermal environment in different lineages of vertebrates. We then identified them in the genomes of human, chicken, and the lizard Anolis carolinensis, and established a functional genetic interaction network in the chicken. Surprisingly, markers initially identified from diverse lineages of vertebrates such as human and fish were all in close functional relationship with each other and more associated than expected by chance. This indicates that the general genetic functional network for thermoregulation and/or thermal adaptation to the environment might be regulated via similar evolutionarily conserved pathways in different vertebrate lineages. We were able to identify seven functions that were statistically overrepresented in this network, corresponding to four of our originally predicted functions plus three unpredicted functions. We describe this network as multimodal: central regulator genes with the function of relaying thermal signal (1), affect genes with different cellular functions, namely (2) lipoprotein metabolism, (3) membrane channels, (4) stress response, (5) response to oxidative stress, (6) muscle contraction and relaxation, and (7) vasodilation, vasoconstriction and regulation of blood pressure. This network constitutes a novel resource for the study of thermal adaptation in the closely related nonavian reptiles and other vertebrate ectotherms.

Indexed as

AdaptationAnolisEctothermsFunctional networkGenome miningReptilesThermal adaptationThermoregulation

Identifiers

PMID25289178
PMCPMC4183952
OpenAlexW2127408155

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.