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Widespread natural variation of DNA methylation within angiosperms

Overview of attention for article published in Genome Biology (Online Edition), September 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)

Citations

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281 Dimensions

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Title
Widespread natural variation of DNA methylation within angiosperms
Published in
Genome Biology (Online Edition), September 2016
DOI 10.1186/s13059-016-1059-0
Pubmed ID
Authors

Chad E. Niederhuth, Adam J. Bewick, Lexiang Ji, Magdy S. Alabady, Kyung Do Kim, Qing Li, Nicholas A. Rohr, Aditi Rambani, John M. Burke, Joshua A. Udall, Chiedozie Egesi, Jeremy Schmutz, Jane Grimwood, Scott A. Jackson, Nathan M. Springer, Robert J. Schmitz

Abstract

DNA methylation is an important feature of plant epigenomes, involved in the formation of heterochromatin and affecting gene expression. Extensive variation of DNA methylation patterns within a species has been uncovered from studies of natural variation. However, the extent to which DNA methylation varies between flowering plant species is still unclear. To understand the variation in genomic patterning of DNA methylation across flowering plant species, we compared single base resolution DNA methylomes of 34 diverse angiosperm species. By analyzing whole-genome bisulfite sequencing data in a phylogenetic context, it becomes clear that there is extensive variation throughout angiosperms in gene body DNA methylation, euchromatic silencing of transposons and repeats, as well as silencing of heterochromatic transposons. The Brassicaceae have reduced CHG methylation levels and also reduced or loss of CG gene body methylation. The Poaceae are characterized by a lack or reduction of heterochromatic CHH methylation and enrichment of CHH methylation in genic regions. Furthermore, low levels of CHH methylation are observed in a number of species, especially in clonally propagated species. These results reveal the extent of variation in DNA methylation in angiosperms and show that DNA methylation patterns are broadly a reflection of the evolutionary and life histories of plant species.

Twitter Demographics

The data shown below were collected from the profiles of 89 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 323 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Australia 1 <1%
New Zealand 1 <1%
Mexico 1 <1%
Norway 1 <1%
Unknown 316 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 23%
Researcher 66 20%
Student > Bachelor 34 11%
Student > Master 28 9%
Student > Postgraduate 26 8%
Other 43 13%
Unknown 53 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 158 49%
Biochemistry, Genetics and Molecular Biology 89 28%
Nursing and Health Professions 3 <1%
Medicine and Dentistry 3 <1%
Computer Science 3 <1%
Other 4 1%
Unknown 63 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 68. 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 15 November 2017.
All research outputs
#385,805
of 17,826,855 outputs
Outputs from Genome Biology (Online Edition)
#304
of 3,671 outputs
Outputs of similar age
#10,336
of 277,002 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 17,826,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,671 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done particularly well, scoring higher than 91% 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 277,002 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them