Abstract
Retrotransposons are a principal component of most eukaryotic genomes, representing roughly 40% of the human genome and 50-80% of some grass genomes. They are usually transcriptionally silent but can be activated under certain stresses. Despite their considerable contribution to genome structure, their impact on the expression of adjacent genes is not well understood. The steady-state transcript levels originating from Wis 2-1A retrotransposons are much higher in newly synthesized wheat amphiploids (two or more diverged genomes in the same nucleus). On activation, both Wis 2-1A long terminal repeats drive the readout synthesis of new transcripts from adjacent sequences including the antisense or sense strands of known genes. Here we report that activation of these antisense or sense transcripts is associated with silencing or activation of the corresponding genes, respectively. These data, together with the abundance of retrotransposons in genomes and their ability to be activated by various signals, support the view of transposons as potential controlling elements.
Errata: In the version of this article initially published, Figure 2 was inappropriately enhanced. The original data have been restored to the figure. The authors state that all the display items in this publication are previously unpublished work and accurate representations of the experiments described. The error has been corrected in the HTML and PDF versions of the article.
Original language | English |
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Pages (from-to) | 102-106 |
Number of pages | 5 |
Journal | Nature Genetics |
Volume | 33 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2003 |
Funding
We thank H. Ozkan for providing the amphiploid material, C. Melamed-Bessudo for help and advice and V. Walbot and J. Beckmann for critically reading the manuscript. This work was supported by a grant from the US–Israel Binational Science Foundation. K.K. was supported by a doctoral fellowship from the Feinberg Graduate School.
All Science Journal Classification (ASJC) codes
- Genetics