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Genome-wide epigenetic variation among ash trees differing in susceptibility to a fungal disease

Overview of attention for article published in BMC Genomics, June 2018
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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Title
Genome-wide epigenetic variation among ash trees differing in susceptibility to a fungal disease
Published in
BMC Genomics, June 2018
DOI 10.1186/s12864-018-4874-8
Pubmed ID
Authors

Elizabeth S. A. Sollars, Richard J. A. Buggs

Abstract

European ash trees (Fraxinus excelsior) are currently threatened by ash dieback (ADB) caused by the fungus Hymenoscyphus fraxineus but a small percentage of the population possesses natural low susceptibility. The genome of a European ash tree has recently been sequenced. Here, we present whole genome DNA methylation data for two F. excelsior genotypes with high susceptibility to ADB, and two genotypes with low susceptibility, each clonally replicated. We also include two genotypes of Manchurian ash (F. mandshurica), an ash species which has co-evolved with H. fraxineus and also has low susceptibility to ADB. In F. excelsior, we find an average methylation level of 76.2% in the CG context, 52.0% in the CHG context, and 13.9% in the CHH context; similar levels to those of tomato. We find higher methylation in transposable elements as opposed to non-mobile elements, and high densities of Non-Differentially Methylation Positions (N-DMPs) in genes with housekeeping functions. Of genes putatively duplicated in whole genome duplication (WGD) events, an average of 25.9% are differentially methylated in at least one cytosine context, potentially indicative of unequal silencing. Variability in methylation patterns exists among clonal replicates, and this is only slightly less than the variability found between different genotypes. Of twenty genes previously found to have expression levels associated with ADB susceptibility, we find only two of these have differential methylation between high and low susceptibility F. excelsior trees. In addition, we identify 1683 significant Differentially Methylated Regions (DMRs) (q-value< 0.001) between the high and low susceptibility genotypes of F. excelsior trees, of which 665 remain significant when F. mandshurica samples are added to the low susceptibility group. We find a higher frequency of differentially methylated WGD-derived gene duplicates in ash than other plant species previously studied. We also identify a set of genes with differential methylation between genotypes and species with high versus low susceptibility to ADB. This provides valuable foundational data for future work on the role that epigenetics may play in gene dosage compensation and susceptibility to ADB in ash.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 16%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 5 6%
Student > Bachelor 4 4%
Student > Master 4 4%
Other 4 4%
Unknown 49 55%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 27%
Biochemistry, Genetics and Molecular Biology 5 6%
Environmental Science 4 4%
Computer Science 2 2%
Nursing and Health Professions 1 1%
Other 2 2%
Unknown 51 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 05 September 2019.
All research outputs
#1,552,033
of 24,981,585 outputs
Outputs from BMC Genomics
#294
of 11,129 outputs
Outputs of similar age
#32,557
of 335,575 outputs
Outputs of similar age from BMC Genomics
#6
of 202 outputs
Altmetric has tracked 24,981,585 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,129 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 335,575 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 90% of its contemporaries.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.