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A Drosophila model for mito-nuclear diseases generated by an incompatible interaction between tRNA and tRNA synthetase

Overview of attention for article published in Disease Models and Mechanisms, May 2015
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Article details
Title
A Drosophila model for mito-nuclear diseases generated by an incompatible interaction between tRNA and tRNA synthetase
Published in
Disease Models and Mechanisms, May 2015
DOI 10.1242/dmm.019323
Pubmed ID
Authors
Abstract

Communication between the mitochondrial and nuclear genomes is vital for cellular function. The assembly of mitochondrial enzyme complexes that produce the majority of cellular energy requires the coordinated expression and translation of both mitochondrial and nuclear encoded proteins. The joint genetic architecture of this system complicates the basis of mitochondrial diseases, and mutations in both mtDNA- and nuclear-encoded genes have been implicated in mitochondrial dysfunction. Previously, in a set of mitochondrial-nuclear introgression strains we characterized a dual genome epistasis in which a naturally occurring mutation in the D. simulans simw(501) mtDNA-encoded tRNA for tyrosine interacts with a mutation in the nuclear encoded mitochondrial localized tyrosyl-tRNA synthetase from D. melanogaster. Here we show that the incompatible mitochondrial-nuclear combination results in locomotor defects, reduced mitochondrial respiratory capacity, decreased OXPHOS enzyme activity, and severe alterations in mitochondrial morphology. Transgenic rescue strains containing nuclear variants of the tyrosyl-tRNA synthetase are sufficient to rescue many of the deleterious phenotypes identified when paired with the simw(501) mtDNA. However, the severity of this defective mito-nuclear interaction varies across traits and genetic backgrounds, suggesting that the impact of mitochondrial dysfunction may be tissue specific. Because mutations in mitochondrial tRNA(Tyr) are associated with exercise intolerance in humans, this mitochondrial-nuclear introgression model in Drosophila provides a means to dissect the molecular basis of these, and other mitochondrial diseases that are a consequence of the joint genetic architecture of mitochondrial function.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Researcher 8 13%
Student > Bachelor 7 11%
Lecturer > Senior Lecturer 4 6%
Other 3 5%
Other 9 15%
Unknown 18 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 35%
Agricultural and Biological Sciences 19 31%
Sports and Recreations 1 2%
Medicine and Dentistry 1 2%
Unknown 19 31%
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 11 December 2021.
All research outputs
#22,949,607
of 34,361,833 outputs
Outputs from Disease Models and Mechanisms
#1,622
of 2,399 outputs
Outputs of similar age
#186,544
of 306,962 outputs
Outputs of similar age from Disease Models and Mechanisms
#31
of 46 outputs
Altmetric has tracked 34,361,833 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,399 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 29th percentile – i.e., 29% 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 306,962 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.