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Convergent evolution of tRNA gene targeting preferences in compact genomes

Overview of attention for article published in Mobile DNA, August 2016
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Title
Convergent evolution of tRNA gene targeting preferences in compact genomes
Published in
Mobile DNA, August 2016
DOI 10.1186/s13100-016-0073-9
Pubmed ID
Authors

Thomas Spaller, Eva Kling, Gernot Glöckner, Falk Hillmann, Thomas Winckler

Abstract

In gene-dense genomes, mobile elements are confronted with highly selective pressure to amplify without causing excessive damage to the host. The targeting of tRNA genes as potentially safe integration sites has been developed by retrotransposons in various organisms such as the social amoeba Dictyostelium discoideum and the yeast Saccharomyces cerevisiae. In D. discoideum, tRNA gene-targeting retrotransposons have expanded to approximately 3 % of the genome. Recently obtained genome sequences of species representing the evolutionary history of social amoebae enabled us to determine whether the targeting of tRNA genes is a generally successful strategy for mobile elements to colonize compact genomes. During the evolution of dictyostelids, different retrotransposon types independently developed the targeting of tRNA genes at least six times. DGLT-A elements are long terminal repeat (LTR) retrotransposons that display integration preferences ~15 bp upstream of tRNA gene-coding regions reminiscent of the yeast Ty3 element. Skipper elements are chromoviruses that have developed two subgroups: one has canonical chromo domains that may favor integration in centromeric regions, whereas the other has diverged chromo domains and is found ~100 bp downstream of tRNA genes. The integration of D. discoideum non-LTR retrotransposons ~50 bp upstream (TRE5 elements) and ~100 bp downstream (TRE3 elements) of tRNA genes, respectively, likely emerged at the root of dictyostelid evolution. We identified two novel non-LTR retrotransposons unrelated to TREs: one with a TRE5-like integration behavior and the other with preference ~4 bp upstream of tRNA genes. Dictyostelid retrotransposons demonstrate convergent evolution of tRNA gene targeting as a probable means to colonize the compact genomes of their hosts without being excessively mutagenic. However, high copy numbers of tRNA gene-associated retrotransposons, such as those observed in D. discoideum, are an exception, suggesting that the targeting of tRNA genes does not necessarily favor the amplification of position-specific integrating elements to high copy numbers under the repressive conditions that prevail in most host cells.

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Mendeley readers

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 %
Canada 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 29%
Researcher 6 16%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Student > Master 3 8%
Other 5 13%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 37%
Biochemistry, Genetics and Molecular Biology 12 32%
Unspecified 1 3%
Psychology 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 8 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2016.
All research outputs
#14,720,444
of 23,577,761 outputs
Outputs from Mobile DNA
#269
of 342 outputs
Outputs of similar age
#197,369
of 339,701 outputs
Outputs of similar age from Mobile DNA
#5
of 6 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 342 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 17th percentile – i.e., 17% 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 339,701 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.