Evidence map›Paper›PMID 29206201›Full record

ArticleInternational journal of molecular sciences2017

Selection on the Major Color Gene Melanocortin-1-Receptor Shaped the Evolution of the Melanocortin System Genes.

Linda Dib, Luis M San-Jose, Anne-Lyse Ducrest, Nicolas Salamin, Alexandre Roulin

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

22 citing papers in PubMed, 39 citations in OpenAlex.

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  20. Frontiers in endocrinology · 2020
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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

5 authors at 3 institutions in 1 country.

Linda DibDepartment of Ecology and Evolution, Biophore, University of Lausanne, 1015 Lausanne, Switzerland. linda.dib@unil.ch.
Luis M San-JoseDepartment of Ecology and Evolution, Biophore, University of Lausanne, 1015 Lausanne, Switzerland. luis.sanjosegarcia@unil.ch.
Anne-Lyse DucrestDepartment of Ecology and Evolution, Biophore, University of Lausanne, 1015 Lausanne, Switzerland. anne-lyse.ducrest@unil.ch.
Nicolas SalaminDepartment of Ecology and Evolution, Biophore, University of Lausanne, 1015 Lausanne, Switzerland. nicolas.salamin@unil.ch.ORCID 0000-0002-3963-4954
Alexandre RoulinDepartment of Ecology and Evolution, Biophore, University of Lausanne, 1015 Lausanne, Switzerland. alexandre.roulin@unil.ch.
University of Lausanne · CHSIB Swiss Institute of Bioinformatics · CHUniversity Hospital of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modular genetic systems and networks have complex evolutionary histories shaped by selection acting on single genes as well as on their integrated function within the network. However, uncovering molecular coevolution requires the detection of coevolving sites in sequences. Detailed knowledge of the functions of each gene in the system is also necessary to identify the selective agents driving coevolution. Using recently developed computational tools, we investigated the effect of positive selection on the coevolution of ten major genes in the melanocortin system, responsible for multiple physiological functions and human diseases. Substitutions driven by positive selection at the melanocortin-1-receptor (

Indexed as

AnimalsEvolution, MolecularGene Regulatory NetworksMelanocortinsPhylogenyReceptor, Melanocortin, Type 1Selection, GeneticMelanocortinsReceptor, Melanocortin, Type 1coevolutiongene evolutionary influencemelanocortin systempleiotropyselection

Identifiers

PMID29206201
PMCPMC5751221
OpenAlexW2775077986

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.