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

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 LX...

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Autores principales: Dowell, Robin, Odell, Aaron, Richmond, Phillip, Malmer, Daniel, Halper-Stromberg, Eitan, Bennett, Beth, Larson, Colin, Leach, Sonia, Radcliffe, Richard A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110614/
https://www.ncbi.nlm.nih.gov/pubmed/27651241
http://dx.doi.org/10.1007/s00335-016-9663-6
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author Dowell, Robin
Odell, Aaron
Richmond, Phillip
Malmer, Daniel
Halper-Stromberg, Eitan
Bennett, Beth
Larson, Colin
Leach, Sonia
Radcliffe, Richard A.
author_facet Dowell, Robin
Odell, Aaron
Richmond, Phillip
Malmer, Daniel
Halper-Stromberg, Eitan
Bennett, Beth
Larson, Colin
Leach, Sonia
Radcliffe, Richard A.
author_sort Dowell, Robin
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00335-016-9663-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-51106142016-11-29 Genome characterization of the selected long- and short-sleep mouse lines Dowell, Robin Odell, Aaron Richmond, Phillip Malmer, Daniel Halper-Stromberg, Eitan Bennett, Beth Larson, Colin Leach, Sonia Radcliffe, Richard A. Mamm Genome Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00335-016-9663-6) contains supplementary material, which is available to authorized users. Springer US 2016-09-20 2016 /pmc/articles/PMC5110614/ /pubmed/27651241 http://dx.doi.org/10.1007/s00335-016-9663-6 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Dowell, Robin
Odell, Aaron
Richmond, Phillip
Malmer, Daniel
Halper-Stromberg, Eitan
Bennett, Beth
Larson, Colin
Leach, Sonia
Radcliffe, Richard A.
Genome characterization of the selected long- and short-sleep mouse lines
title Genome characterization of the selected long- and short-sleep mouse lines
title_full Genome characterization of the selected long- and short-sleep mouse lines
title_fullStr Genome characterization of the selected long- and short-sleep mouse lines
title_full_unstemmed Genome characterization of the selected long- and short-sleep mouse lines
title_short Genome characterization of the selected long- and short-sleep mouse lines
title_sort genome characterization of the selected long- and short-sleep mouse lines
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110614/
https://www.ncbi.nlm.nih.gov/pubmed/27651241
http://dx.doi.org/10.1007/s00335-016-9663-6
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