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Genome characterization of the selected long- and short-sleep mouse lines

Overview of attention for article published in Mammalian Genome, September 2016
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Title
Genome characterization of the selected long- and short-sleep mouse lines
Published in
Mammalian Genome, September 2016
DOI 10.1007/s00335-016-9663-6
Pubmed ID
Authors

Robin Dowell, Aaron Odell, Phillip Richmond, Daniel Malmer, Eitan Halper-Stromberg, Beth Bennett, Colin Larson, Sonia Leach, Richard A. Radcliffe

Abstract

The Inbred Long- and Short-Sleep (ILS, ISS) mouse lines were selected for differences in acute ethanol sensitivity using the loss of righting response (LORR) as the selection trait. The lines show an over tenfold difference in LORR and, along with a recombinant inbred panel derived from them (the LXS), have been widely used to dissect the genetic underpinnings of acute ethanol sensitivity. Here we have sequenced the genomes of the ILS and ISS to investigate the DNA variants that contribute to their sensitivity difference. We identified ~2.7 million high-confidence SNPs and small indels and ~7000 structural variants between the lines; variants were found to occur in 6382 annotated genes. Using a hidden Markov model, we were able to reconstruct the genome-wide ancestry patterns of the eight inbred progenitor strains from which the ILS and ISS were derived, and found that quantitative trait loci that have been mapped for LORR were slightly enriched for DNA variants. Finally, by mapping and quantifying RNA-seq reads from the ILS and ISS to their strain-specific genomes rather than to the reference genome, we found a substantial improvement in a differential expression analysis between the lines. This work will help in identifying and characterizing the DNA sequence variants that contribute to the difference in ethanol sensitivity between the ILS and ISS and will also aid in accurate quantification of RNA-seq data generated from the LXS RIs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 25%
Student > Ph. D. Student 3 25%
Researcher 3 25%
Student > Master 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 33%
Medicine and Dentistry 2 17%
Engineering 2 17%
Computer Science 1 8%
Neuroscience 1 8%
Other 1 8%
Unknown 1 8%
Attention Score in Context

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 22 September 2016.
All research outputs
#18,472,072
of 22,889,074 outputs
Outputs from Mammalian Genome
#1,004
of 1,126 outputs
Outputs of similar age
#243,108
of 320,232 outputs
Outputs of similar age from Mammalian Genome
#4
of 6 outputs
Altmetric has tracked 22,889,074 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 1,126 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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