Evidence map›Paper›PMID 24486528›Full record

ArticleComparative biochemistry and physiology. Toxicology & pharmacology : CBP2014

Connectivity of vertebrate genomes: Paired-related homeobox (Prrx) genes in spotted gar, basal teleosts, and tetrapods.

Ingo Braasch, Yann Guiguen, Ryan Loker, John H Letaw, Allyse Ferrara, Julien Bobe, John H Postlethwait

Open access · greenAbstract read
In one paragraph

Article in Comparative biochemistry and physiology. Toxicology & pharmacology : CBP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  3. NaPhysiological genomics · 2023
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  15. A new model army: Emerging fish models to study the genomics of vertebrate Evo-Devo.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2015
    Review
  16. Article
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 3 institutions in 2 countries.

Ingo BraaschInstitute of Neuroscience, University of Oregon, Eugene, 97403-1254 OR, USA. Electronic address: ibraasch@uoneuro.uoregon.edu.
Yann GuiguenINRA, UR1037 LPGP, Campus de Beaulieu, F-35000 Rennes, France. Electronic address: yann.guiguen@rennes.inra.fr.
Ryan LokerInstitute of Neuroscience, University of Oregon, Eugene, 97403-1254 OR, USA. Electronic address: loker@uoregon.edu.
John H LetawInstitute of Neuroscience, University of Oregon, Eugene, 97403-1254 OR, USA. Electronic address: letaw@ohsu.edu.
Allyse FerraraDepartment of Biological Sciences, Nicholls State University, Thibodaux, LA 70310, USA. Electronic address: allyse.ferrara@nicholls.edu.
Julien BobeINRA, UR1037 LPGP, Campus de Beaulieu, F-35000 Rennes, France. Electronic address: Julien.Bobe@rennes.inra.fr.
John H PostlethwaitInstitute of Neuroscience, University of Oregon, Eugene, 97403-1254 OR, USA. Electronic address: jpostle@uoneuro.uoregon.edu.
University of Oregon · USFish Physiology and Genomics Institute · FRNicholls State University · US

Funding

Resources for Teleost Gene Duplicates and Human DiseaseR01OD011116 · OD · UNIVERSITY OF OREGON · PI POSTLETHWAIT, JOHN H. · 2012 to 2020
$5.4M
RESOURCES FOR TELEOST GENE DUPLICATES AND HUMAN DISEASER01RR020833 · NCRR · UNIVERSITY OF OREGON · PI POSTLETHWAIT, JOHN H. · 2005 to 2011
$3.6M
Advancing the Scientific Potential of Transcriptomics in Aquatic ModelsR24OD011199 · OD · UNIVERSITY OF OREGON · PI CRESKO, WILLIAM A, POSTLETHWAIT, JOHN H. · 2012 to 2014
$1.8M
NCRR NIH HHS R01 RR020833NIH HHS R01 OD011116NIH HHS R24 OD011199
6 · The paper itself

Abstract

Teleost fish are important models for human biology, health, and disease. Because genome duplication in a teleost ancestor (TGD) impacts the evolution of teleost genome structure and gene repertoires, we must discriminate gene functions that are shared and ancestral from those that are lineage-specific in teleosts or tetrapods to accurately apply inferences from teleost disease models to human health. Generalizations must account both for the TGD and for divergent evolution between teleosts and tetrapods after the likely two rounds of genome duplication shared by all vertebrates. Progress in sequencing techniques provides new opportunities to generate genomic and transcriptomic information from a broad range of phylogenetically informative taxa that facilitate detailed understanding of gene family and gene function evolution. We illustrate here the use of new sequence resources from spotted gar (Lepisosteus oculatus), a rayfin fish that diverged from teleosts before the TGD, as well as RNA-Seq data from gar and multiple teleost lineages to reconstruct the evolution of the Paired-related homeobox (Prrx) transcription factor gene family, which is involved in the development of mesoderm and neural crest-derived mesenchyme. We show that for Prrx genes, the spotted gar genome and gene expression patterns mimic mammals better than teleosts do. Analyses force the seemingly paradoxical conclusion that regulatory mechanisms for the limb expression domains of Prrx genes existed before the evolution of paired appendages. Detailed evolutionary analyses like those reported here are required to identify fish species most similar to the human genome to optimally connect fish models to human gene functions in health and disease.

Indexed as

Genes, HomeoboxGenomeAnimalsEvolution, MolecularFishesHomeodomain ProteinsHumansHomeodomain ProteinsPRRX1 protein, humanPRRX2 protein, humanCraniofacialFin/limb budGenome duplicationOhnologPaired appendagesPrrx1Prrx2RNA-Seq

Identifiers

PMID24486528
PMCPMC4032612
OpenAlexW2082205112

What OpenQuestion holds

Textmetadata
LicenceTDM
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.