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Genomic variants in an inbred mouse model predict mania-like behaviors

Contemporary rodent models for bipolar disorders split the bipolar spectrum into complimentary behavioral endophenotypes representing mania and depression. Widely accepted mania models typically utilize single gene transgenics or pharmacological manipulations, but inbred rodent strains show great po...

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Autores principales: Saul, Michael C., Stevenson, Sharon A., Zhao, Changjiu, Driessen, Terri M., Eisinger, Brian E., Gammie, Stephen C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955540/
https://www.ncbi.nlm.nih.gov/pubmed/29768498
http://dx.doi.org/10.1371/journal.pone.0197624
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author Saul, Michael C.
Stevenson, Sharon A.
Zhao, Changjiu
Driessen, Terri M.
Eisinger, Brian E.
Gammie, Stephen C.
author_facet Saul, Michael C.
Stevenson, Sharon A.
Zhao, Changjiu
Driessen, Terri M.
Eisinger, Brian E.
Gammie, Stephen C.
author_sort Saul, Michael C.
collection PubMed
description Contemporary rodent models for bipolar disorders split the bipolar spectrum into complimentary behavioral endophenotypes representing mania and depression. Widely accepted mania models typically utilize single gene transgenics or pharmacological manipulations, but inbred rodent strains show great potential as mania models. Their acceptance is often limited by the lack of genotypic data needed to establish construct validity. In this study, we used a unique strategy to inexpensively explore and confirm population allele differences in naturally occurring candidate variants in a manic rodent strain, the Madison (MSN) mouse strain. Variants were identified using whole exome resequencing on a small population of animals. Interesting candidate variants were confirmed in a larger population with genotyping. We enriched these results with observations of locomotor behavior from a previous study. Resequencing identified 447 structural variants that are mostly fixed in the MSN strain relative to control strains. After filtering and annotation, we found 11 non-synonymous MSN variants that we believe alter protein function. The allele frequencies for 6 of these variants were consistent with explanatory variants for the Madison strain’s phenotype. The variants are in the Npas2, Cp, Polr3c, Smarca4, Trpv1, and Slc5a7 genes, and many of these genes’ products are in pathways implicated in human bipolar disorders. Variants in Smarca4 and Polr3c together explained over 40% of the variance in locomotor behavior in the Hsd:ICR founder strain. These results enhance the MSN strain’s construct validity and implicate altered nucleosome structure and transcriptional regulation as a chief molecular system underpinning behavior.
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spelling pubmed-59555402018-05-25 Genomic variants in an inbred mouse model predict mania-like behaviors Saul, Michael C. Stevenson, Sharon A. Zhao, Changjiu Driessen, Terri M. Eisinger, Brian E. Gammie, Stephen C. PLoS One Research Article Contemporary rodent models for bipolar disorders split the bipolar spectrum into complimentary behavioral endophenotypes representing mania and depression. Widely accepted mania models typically utilize single gene transgenics or pharmacological manipulations, but inbred rodent strains show great potential as mania models. Their acceptance is often limited by the lack of genotypic data needed to establish construct validity. In this study, we used a unique strategy to inexpensively explore and confirm population allele differences in naturally occurring candidate variants in a manic rodent strain, the Madison (MSN) mouse strain. Variants were identified using whole exome resequencing on a small population of animals. Interesting candidate variants were confirmed in a larger population with genotyping. We enriched these results with observations of locomotor behavior from a previous study. Resequencing identified 447 structural variants that are mostly fixed in the MSN strain relative to control strains. After filtering and annotation, we found 11 non-synonymous MSN variants that we believe alter protein function. The allele frequencies for 6 of these variants were consistent with explanatory variants for the Madison strain’s phenotype. The variants are in the Npas2, Cp, Polr3c, Smarca4, Trpv1, and Slc5a7 genes, and many of these genes’ products are in pathways implicated in human bipolar disorders. Variants in Smarca4 and Polr3c together explained over 40% of the variance in locomotor behavior in the Hsd:ICR founder strain. These results enhance the MSN strain’s construct validity and implicate altered nucleosome structure and transcriptional regulation as a chief molecular system underpinning behavior. Public Library of Science 2018-05-16 /pmc/articles/PMC5955540/ /pubmed/29768498 http://dx.doi.org/10.1371/journal.pone.0197624 Text en © 2018 Saul et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Saul, Michael C.
Stevenson, Sharon A.
Zhao, Changjiu
Driessen, Terri M.
Eisinger, Brian E.
Gammie, Stephen C.
Genomic variants in an inbred mouse model predict mania-like behaviors
title Genomic variants in an inbred mouse model predict mania-like behaviors
title_full Genomic variants in an inbred mouse model predict mania-like behaviors
title_fullStr Genomic variants in an inbred mouse model predict mania-like behaviors
title_full_unstemmed Genomic variants in an inbred mouse model predict mania-like behaviors
title_short Genomic variants in an inbred mouse model predict mania-like behaviors
title_sort genomic variants in an inbred mouse model predict mania-like behaviors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955540/
https://www.ncbi.nlm.nih.gov/pubmed/29768498
http://dx.doi.org/10.1371/journal.pone.0197624
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