Evidence map›Paper›PMID 33419455›Full record

ArticleGenome biology2021

Evolution of regulatory networks associated with traits under selection in cichlids.

Tarang K Mehta, Christopher Koch, Will Nash, Sara A Knaack, Padhmanand Sudhakar, Marton Olbei, Sarah Bastkowski, Luca Penso-Dolfin, Tamas Korcsmaros, Wilfried Haerty and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

12 authors at 3 institutions in 2 countries.

Tarang K MehtaEarlham Institute (EI), Norwich, UK.
Christopher KochDepartment of Biostatistics and Medical Informatics, UW Madison, Madison, USA.
Will NashEarlham Institute (EI), Norwich, UK.
Sara A KnaackWisconsin Institute for Discovery (WID), Madison, USA.
Padhmanand SudhakarEarlham Institute (EI), Norwich, UK.
Marton OlbeiEarlham Institute (EI), Norwich, UK.
Sarah BastkowskiEarlham Institute (EI), Norwich, UK.
Luca Penso-DolfinEarlham Institute (EI), Norwich, UK.
Tamas KorcsmarosEarlham Institute (EI), Norwich, UK.
Wilfried HaertyEarlham Institute (EI), Norwich, UK.
Sushmita RoyDepartment of Biostatistics and Medical Informatics, UW Madison, Madison, USA. sroy@biostat.wisc.edu.
Federica Di-PalmaEarlham Institute (EI), Norwich, UK. F.Di-Palma@uea.ac.uk.
Earlham Institute · GBUniversity of Wisconsin–Madison · USWisconsin Institutes for Discovery · US

Funding

Biotechnology and Biological Sciences Research Council BB/CSP17270/1Biotechnology and Biological Sciences Research Council BB/J004529/1Biotechnology and Biological Sciences Research Council BB/J004669/1Biotechnology and Biological Sciences Research Council BB/M011216/1Biotechnology and Biological Sciences Research Council BB/P016774/1Biotechnology and Biological Sciences Research Council BBS/E/T/000PR9817
6 · The paper itself

Abstract

backgroundSeminal studies of vertebrate protein evolution speculated that gene regulatory changes can drive anatomical innovations. However, very little is known about gene regulatory network (GRN) evolution associated with phenotypic effect across ecologically diverse species. Here we use a novel approach for comparative GRN analysis in vertebrate species to study GRN evolution in representative species of the most striking examples of adaptive radiations, the East African cichlids. We previously demonstrated how the explosive phenotypic diversification of East African cichlids can be attributed to diverse molecular mechanisms, including accelerated regulatory sequence evolution and gene expression divergence.

resultsTo investigate these mechanisms across species at a genome-wide scale, we develop a novel computational pipeline that predicts regulators for co-extant and ancestral co-expression modules along a phylogeny, and candidate regulatory regions associated with traits under selection in cichlids. As a case study, we apply our approach to a well-studied adaptive trait-the visual system-for which we report striking cases of network rewiring for visual opsin genes, identify discrete regulatory variants, and investigate their association with cichlid visual system evolution. In regulatory regions of visual opsin genes, in vitro assays confirm that transcription factor binding site mutations disrupt regulatory edges across species and segregate according to lake species phylogeny and ecology, suggesting GRN rewiring in radiating cichlids.

conclusionsOur approach reveals numerous novel potential candidate regulators and regulatory regions across cichlid genomes, including some novel and some previously reported associations to known adaptive evolutionary traits.

Indexed as

Evolution, MolecularGene Regulatory NetworksPhenotypeAnimalsCichlidsDNA-Binding ProteinsGenomeGenotypeLakesOpsinsPhylogenyTranscription FactorsDNA-Binding ProteinsOpsinsTranscription FactorsCichlidCo-expressionGene regulatory networkMolecular evolutionOpsin

Identifiers

PMID33419455
PMCPMC7791837
OpenAlexW3119056601

What Socratic 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 Socratic graph.