Evidence map›Paper›PMID 25980317›Full record

ArticleBiochimie2015

Function-selective domain architecture plasticity potentials in eukaryotic genome evolution.

Viktorija Linkeviciute, Owen J L Rackham, Julian Gough, Matt E Oates, Hai Fang

Abstract read
In one paragraph

Article in Biochimie, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. The Intergenic Interplay betweenFrontiers in plant science · 2017
    Article
  2. The language of the protein universe.Current opinion in genetics & development · 2015
    Review
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.

Viktorija LinkeviciuteComputational Genomics Group, Department of Computer Science, University of Bristol, The Merchant Venturers Building, Bristol BS8 1UB, UK; School of Biological Sciences, University of Edinburgh, Darwin Building, The King's Buildings, Edinburgh EH9 3BF, UK.
Owen J L RackhamComputational Genomics Group, Department of Computer Science, University of Bristol, The Merchant Venturers Building, Bristol BS8 1UB, UK; Centre for Computational Biology, Duke-NUS Graduate Medical School, Singapore 169857, Singapore.
Julian GoughComputational Genomics Group, Department of Computer Science, University of Bristol, The Merchant Venturers Building, Bristol BS8 1UB, UK.
Matt E OatesComputational Genomics Group, Department of Computer Science, University of Bristol, The Merchant Venturers Building, Bristol BS8 1UB, UK.
Hai FangComputational Genomics Group, Department of Computer Science, University of Bristol, The Merchant Venturers Building, Bristol BS8 1UB, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK. Electronic address: hfang@cs.bris.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/G022771/1Biotechnology and Biological Sciences Research Council BB/L018543/1
6 · The paper itself

Abstract

To help evaluate how protein function impacts on genome evolution, we introduce a new concept of 'architecture plasticity potential' - the capacity to form distinct domain architectures - both for an individual domain, or more generally for a set of domains grouped by shared function. We devise a scoring metric to measure the plasticity potential for these domain sets, and evaluate how function has changed over time for different species. Applying this metric to a phylogenetic tree of eukaryotic genomes, we find that the involvement of each function is not random but highly selective. For certain lineages there is strong bias for evolution to involve domains related to certain functions. In general eukaryotic genomes, particularly animals, expand complex functional activities such as signalling and regulation, but at the cost of reducing metabolic processes. We also observe differential evolution of transcriptional regulation and a unique evolutionary role of channel regulators; crucially this is only observable in terms of the architecture plasticity potential. Our findings provide a new layer of information to understand the significance of function in eukaryotic genome evolution. A web search tool, available at http://supfam.org/Pevo, offers a wide spectrum of options for exploring functional importance in eukaryotic genome evolution.

Indexed as

Evolution, MolecularGenomeModels, GeneticAnimalsCell LineageCell PlasticityDatabases, GeneticDatabases, ProteinEukaryotaGenomicsHumansInternetPhylogenyProtein Structure, TertiaryProteomeSearch EngineProteomeDomain architecturesEukaryotic genomesEvolutionFunction

Identifiers

PMID25980317
PMCPMC4679076

What OpenQuestion holds

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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.