| Title |
Paramutagenicity of a p1 epiallele in maize
|
|---|---|
| Published in |
Theoretical and Applied Genetics, September 2012
|
| DOI | 10.1007/s00122-012-1970-z |
| Pubmed ID | |
| Authors |
Wolfgang Goettel, Joachim Messing |
| Abstract |
Complex silencing mechanisms in plants and other kingdoms target transposons, repeat sequences, invasive viral nucleic acids and transgenes, but also endogenous genes and genes involved in paramutation. Paramutation occurs in a heterozygote when a transcriptionally active allele heritably adopts the epigenetic state of a transcriptionally and/or post-transcriptionally repressed allele. P1-rr and its silenced epiallele P1-pr, which encode a Myb-like transcription factor mediating pigmentation in floral organs of Zea mays, differ in their cytosine methylation pattern and chromatin structure at a complex enhancer site. Here, we tested whether P1-pr is able to heritably silence its transcriptionally active P1-rr allele in a heterozygote and whether DNA methylation is associated with the establishment and maintenance of P1-rr silencing. We found that P1-pr participates in paramutation as the repressing allele and P1-rr as the sensitive allele. Silencing of P1-rr is highly variable compared to the inducing P1-pr resulting in a wide range of gene expression. Whereas cytosine methylation at P1-rr is negatively correlated with transcription and pigment levels after segregation of P1-pr, methylation lags behind the establishment of the repressed p1 gene expression. We propose a model in which P1-pr paramutation is triggered by changing epigenetic states of transposons immediately adjacent to a P1-rr enhancer sequence. Considering the vast amount of transposable elements in the maize genome close to regulatory elements of genes, numerous loci could undergo paramutation-induced allele silencing, which could also have a significant impact on breeding agronomically important traits. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Netherlands | 1 | 3% |
| Unknown | 36 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 34% |
| Researcher | 8 | 21% |
| Student > Master | 4 | 11% |
| Professor | 3 | 8% |
| Lecturer | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 61% |
| Biochemistry, Genetics and Molecular Biology | 6 | 16% |
| Computer Science | 1 | 3% |
| Chemistry | 1 | 3% |
| Unknown | 7 | 18% |
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 19 September 2012.
All research outputs
#19,201,293
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#3,124
of 3,565 outputs
Outputs of similar age
#131,538
of 172,064 outputs
Outputs of similar age from Theoretical and Applied Genetics
#13
of 14 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 6th percentile – i.e., 6% 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 172,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.