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Variations of Histone Modification Patterns: Contributions of Inter-plant Variability and Technical Factors

Overview of attention for article published in Frontiers in Plant Science, December 2017
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Title
Variations of Histone Modification Patterns: Contributions of Inter-plant Variability and Technical Factors
Published in
Frontiers in Plant Science, December 2017
DOI 10.3389/fpls.2017.02084
Pubmed ID
Authors

Sylva Brabencová, Ivana Ihnatová, David Potěšil, Miloslava Fojtová, Jiří Fajkus, Zbyněk Zdráhal, Gabriela Lochmanová

Abstract

Inter-individual variability of conspecific plants is governed by differences in their genetically determined growth and development traits, environmental conditions, and adaptive responses under epigenetic control involving histone post-translational modifications. The apparent variability in histone modifications among plants might be increased by technical variation introduced in sample processing during epigenetic analyses. Thus, to detect true variations in epigenetic histone patterns associated with given factors, the basal variability among samples that is not associated with them must be estimated. To improve knowledge of relative contribution of biological and technical variation, mass spectrometry was used to examine histone modification patterns (acetylation and methylation) among Arabidopsis thaliana plants of ecotypes Columbia 0 (Col-0) and Wassilewskija (Ws) homogenized by two techniques (grinding in a cryomill or with a mortar and pestle). We found little difference in histone modification profiles between the ecotypes. However, in comparison of the biological and technical components of variability, we found consistently higher inter-individual variability in histone mark levels among Ws plants than among Col-0 plants (grown from seeds collected either from single plants or sets of plants). Thus, more replicates of Ws would be needed for rigorous analysis of epigenetic marks. Regarding technical variability, the cryomill introduced detectably more heterogeneity in the data than the mortar and pestle treatment, but mass spectrometric analyses had minor apparent effects. Our study shows that it is essential to consider inter-sample variance and estimate suitable numbers of biological replicates for statistical analysis for each studied organism when investigating changes in epigenetic histone profiles.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 38%
Researcher 5 21%
Student > Master 2 8%
Student > Bachelor 1 4%
Other 1 4%
Other 1 4%
Unknown 5 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 29%
Biochemistry, Genetics and Molecular Biology 6 25%
Chemistry 3 13%
Computer Science 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 0 0%
Unknown 6 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 January 2018.
All research outputs
#15,488,947
of 23,016,919 outputs
Outputs from Frontiers in Plant Science
#11,015
of 20,529 outputs
Outputs of similar age
#266,890
of 440,047 outputs
Outputs of similar age from Frontiers in Plant Science
#250
of 427 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,529 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 440,047 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 427 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.