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Paramutation-like features of multiple natural epialleles in tomato

Overview of attention for article published in BMC Genomics, March 2018
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Title
Paramutation-like features of multiple natural epialleles in tomato
Published in
BMC Genomics, March 2018
DOI 10.1186/s12864-018-4590-4
Pubmed ID
Authors

Quentin Gouil, David C. Baulcombe

Abstract

Freakish and rare or the tip of the iceberg? Both phrases have been used to refer to paramutation, an epigenetic drive that contravenes Mendel's first law of segregation. Although its underlying mechanisms are beginning to unravel, its understanding relies only on a few examples that may involve transgenes or artificially generated epialleles. By using DNA methylation of introgression lines as an indication of past paramutation, we reveal that the paramutation-like properties of the H06 locus in hybrids of Solanum lycopersicum and a range of tomato relatives and cultivars depend on the timing of sRNA production and conform to an RNA-directed mechanism. In addition, by scanning the methylomes of tomato introgression lines for shared regions of differential methylation that are absent in the S. lycopersicum parent, we identify thousands of candidate regions for paramutation-like behaviour. The methylation patterns for a subset of these regions segregate with non Mendelian ratios, consistent with secondary paramutation-like interactions to variable extents depending on the locus. Together these results demonstrate that paramutation-like epigenetic interactions are common for natural epialleles in tomato, but vary in timing and penetrance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 33%
Student > Ph. D. Student 7 14%
Student > Master 6 12%
Student > Bachelor 5 10%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 59%
Biochemistry, Genetics and Molecular Biology 10 20%
Computer Science 2 4%
Nursing and Health Professions 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 5 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 October 2018.
All research outputs
#13,798,575
of 24,093,053 outputs
Outputs from BMC Genomics
#4,776
of 10,906 outputs
Outputs of similar age
#165,166
of 335,959 outputs
Outputs of similar age from BMC Genomics
#83
of 196 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,906 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 54% 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 335,959 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.