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Proximal methylation features associated with nonrandom changes in gene body methylation

Overview of attention for article published in Genome Biology, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Proximal methylation features associated with nonrandom changes in gene body methylation
Published in
Genome Biology, April 2017
DOI 10.1186/s13059-017-1206-2
Pubmed ID
Authors

Colette L. Picard, Mary Gehring

Abstract

Gene body methylation at CG dinucleotides is a widely conserved feature of methylated genomes but remains poorly understood. The Arabidopsis thaliana strain Cvi has depleted gene body methylation relative to the reference strain Col. Here, we leverage this natural epigenetic difference to investigate gene body methylation stability. Recombinant inbred lines derived from Col and Cvi were used to examine the transmission of distinct gene body methylation states. The vast majority of genic CG methylation patterns are faithfully transmitted over nine generations according to parental genotype, with only 1-4% of CGs either losing or gaining methylation relative to the parent. Genic CGs that fail to maintain the parental methylation state are shared among independent lines, suggesting that these are not random occurrences. We use a logistic regression framework to identify features that best predict sites that fail to maintain parental methylation state. Intermediate levels of CG methylation around a dynamic CG site and high methylation variability across many A. thaliana strains at that site are the strongest predictors. These data suggest that the dynamic CGs we identify are not specific to the Col-Cvi recombinant inbred lines but have an epigenetic state that is inherently less stable within the A. thaliana species. Extending this, variably methylated genic CGs in maize and Brachypodium distachyon are also associated with intermediate local CG methylation. These results provide new insights into the features determining the inheritance of gene body methylation and demonstrate that two different methylation equilibria can be maintained within single individuals.

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X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 28%
Student > Ph. D. Student 12 22%
Student > Bachelor 8 15%
Student > Master 6 11%
Student > Doctoral Student 2 4%
Other 5 9%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 54%
Biochemistry, Genetics and Molecular Biology 15 28%
Nursing and Health Professions 1 2%
Immunology and Microbiology 1 2%
Social Sciences 1 2%
Other 0 0%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 May 2017.
All research outputs
#2,242,050
of 25,382,440 outputs
Outputs from Genome Biology
#1,852
of 4,468 outputs
Outputs of similar age
#41,010
of 323,575 outputs
Outputs of similar age from Genome Biology
#35
of 54 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,575 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.