Evidence map›Paper›PMID 19479175›Full record

ArticleJournal of molecular evolution2009

Evolution of transcription factor binding sites in mammalian gene regulatory regions: handling counterintuitive results.

James E Balmer, Rune Blomhoff

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In one paragraph

Article in Journal of molecular evolution, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Eric Davidson's Regulatory Genome for Computer Science: Causality, Logic, and Proof Principles of the GenomicJournal of computational biology : a journal of computational molecular cell biology · 2019
    Article
  4. 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

2 authors.

James E BalmerInstitute of Basic Medical Sciences, School of Medicine, University of Oslo, Box 1046 Blindern, Oslo, Norway.
Rune Blomhoff

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The remodeling of transcription factor binding sites is one of the major engines of evolutionary change, yet almost all available examples of this involve sites from regulatory modules brought online during development. Developmental modules are known to enjoy some type of canalization, which allows considerably more cryptic change than would be assumed for nondevelopmental modules. It remains an open question, then, how frequently binding site remodeling occurs in general. There are strong intuitive reasons to expect that regulatory constancy, and hence binding site conservation in general, is the rule, yet little systematic work has been done to verify this. In the present article, we show that the most obvious way of approaching this problem--which is simply to collect experimentally verified binding sites from the literature without further analysis, create multispecies alignments, and apply conservation algorithms--leads to counterintuitive and ultimately inaccurate results. This is because of the low complexity of typical binding sites and, consequently, because of the frequency with which strings resembling legitimate sites occur throughout the genome. In vitro results can easily be confounded by this. Applying one traditional conservation algorithm and two novel algorithms to a data set that ought to be representative of binding sites in general, but which is taken from the literature directly, we find that only 58% of sites appear to be conserved. However, after the data set is carefully vetted against binding site overloading, and after the likelihood of a specific type of compensatory evolution is evaluated, conservation rates as high as 94% appear reasonable.

Indexed as

Gene Regulatory NetworksModels, GeneticAlgorithmsAnimalsBase SequenceBinding SitesDatabases, GeneticDNA-Binding ProteinsEvolution, MolecularMammalsMolecular Sequence DataReceptors, Retinoic AcidSequence AlignmentSequence Analysis, DNATranscription FactorsTretinoinDNA-Binding ProteinsReceptors, Retinoic AcidTranscription FactorsTretinoin

Identifiers

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Registered trials

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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.