Evidence map›Paper›PMID 24711408›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

DNA methylation and evolution of duplicate genes.

Thomas E Keller, Soojin V Yi

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  15. The impact of epigenetic information on genome evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
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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

2 authors.

Thomas E KellerSchool of Biology, Georgia Institute of Technology, Atlanta, GA 30332.
Soojin V Yi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolutionary mechanisms underlying duplicate gene maintenance and divergence remain highly debated. Epigenetic modifications, such as DNA methylation, may contribute to duplicate gene evolution by facilitating tissue-specific regulation. However, the role of epigenetic divergence on duplicate gene evolution remains little understood. Here we show, using comprehensive data across 10 diverse human tissues, that DNA methylation plays critical roles in several aspects of duplicate gene evolution. We first demonstrate that duplicate genes are initially heavily methylated, before gradually losing DNA methylation as they age. Within each pair, DNA methylation divergence between duplicate partners increases with evolutionary age. Importantly, tissue-specific DNA methylation of duplicates correlates with tissue-specific expression, implicating DNA methylation as a causative factor for functional divergence of duplicate genes. These patterns are apparent in promoters but not in gene bodies, in accord with the complex relationship between gene-body DNA methylation and transcription. Remarkably, many duplicate gene pairs exhibit consistent division of DNA methylation across multiple, divergent tissues: For the majority (73%) of duplicate gene pairs, one partner is always hypermethylated compared with the other. This is indicative of a common underlying determinant of DNA methylation. The division of DNA methylation is also consistent with their chromatin accessibility profiles. Moreover, at least two sequence motifs known to interact with the Sp1 transcription factor mark promoters of more hypomethylated duplicate partners. These results demonstrate critical roles of DNA methylation, as well as complex interaction between genome and epigenome, on duplicate gene evolution.

Indexed as

Evolution, MolecularChromatinDNA MethylationGene Expression RegulationGenes, DuplicateGenetic VariationHumansNucleotide MotifsPromoter Regions, GeneticTime FactorsChromatinepigenomicsgene duplicationgenomicstissue specificity

Identifiers

PMID24711408
PMCPMC4000835

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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.