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Schoenrock SA, Gagnon L, Olson A, Leonardo M, Philip VM, He H, Reinholdt LG, Sukoff Rizzo SJ, Jentsch JD, Chesler EJ, Tarantino LM. The collaborative cross strains and their founders vary widely in cocaine-induced behavioral sensitization. Front Behav Neurosci 2022; 16:886524. [PMID: 36275853 PMCID: PMC9580558 DOI: 10.3389/fnbeh.2022.886524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 08/01/2022] [Indexed: 07/25/2023] Open
Abstract
Cocaine use and overdose deaths attributed to cocaine have increased significantly in the United States in the last 10 years. Despite the prevalence of cocaine use disorder (CUD) and the personal and societal problems it presents, there are currently no approved pharmaceutical treatments. The absence of treatment options is due, in part, to our lack of knowledge about the etiology of CUDs. There is ample evidence that genetics plays a role in increasing CUD risk but thus far, very few risk genes have been identified in human studies. Genetic studies in mice have been extremely useful for identifying genetic loci and genes, but have been limited to very few genetic backgrounds, leaving substantial phenotypic, and genetic diversity unexplored. Herein we report the measurement of cocaine-induced behavioral sensitization using a 19-day protocol that captures baseline locomotor activity, initial locomotor response to an acute exposure to cocaine and locomotor sensitization across 5 exposures to the drug. These behaviors were measured in 51 genetically diverse Collaborative Cross (CC) strains along with their inbred founder strains. The CC was generated by crossing eight genetically diverse inbred strains such that each inbred CC strain has genetic contributions from each of the founder strains. Inbred CC mice are infinitely reproducible and provide a stable, yet diverse genetic platform on which to study the genetic architecture and genetic correlations among phenotypes. We have identified significant differences in cocaine locomotor sensitivity and behavioral sensitization across the panel of CC strains and their founders. We have established relationships among cocaine sensitization behaviors and identified extreme responding strains that can be used in future studies aimed at understanding the genetic, biological, and pharmacological mechanisms that drive addiction-related behaviors. Finally, we have determined that these behaviors exhibit relatively robust heritability making them amenable to future genetic mapping studies to identify addiction risk genes and genetic pathways that can be studied as potential targets for the development of novel therapeutics.
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Affiliation(s)
- Sarah A. Schoenrock
- Department of Genetics, School of Medicine, Chapel Hill, NC, United States
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
| | - Leona Gagnon
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Ashley Olson
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Michael Leonardo
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Vivek M. Philip
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Hao He
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Laura G. Reinholdt
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Stacey J. Sukoff Rizzo
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
- The Jackson Laboratory, Bar Harbor, ME, United States
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - James D. Jentsch
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
- Department of Psychology, Binghamton University, Binghamton, NY, United States
| | - Elissa J. Chesler
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Lisa M. Tarantino
- Department of Genetics, School of Medicine, Chapel Hill, NC, United States
- Center for Systems Neurogenetics of Addiction, Bar Harbor, ME, United States
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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2
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Gaines CH, Schoenrock SA, Farrington J, Lee DF, Aponte-Collazo LJ, Shaw GD, Miller DR, Ferris MT, Pardo-Manuel de Villena F, Tarantino LM. Cocaine-Induced Locomotor Activation Differs Across Inbred Mouse Substrains. Front Psychiatry 2022; 13:800245. [PMID: 35599758 PMCID: PMC9120424 DOI: 10.3389/fpsyt.2022.800245] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 03/22/2022] [Indexed: 11/13/2022] Open
Abstract
Cocaine use disorders (CUD) are devastating for affected individuals and impose a significant societal burden, but there are currently no FDA-approved therapies. The development of novel and effective treatments has been hindered by substantial gaps in our knowledge about the etiology of these disorders. The risk for developing a CUD is influenced by genetics, the environment and complex interactions between the two. Identifying specific genes and environmental risk factors that increase CUD risk would provide an avenue for the development of novel treatments. Rodent models of addiction-relevant behaviors have been a valuable tool for studying the genetics of behavioral responses to drugs of abuse. Traditional genetic mapping using genetically and phenotypically divergent inbred mice has been successful in identifying numerous chromosomal regions that influence addiction-relevant behaviors, but these strategies rarely result in identification of the causal gene or genetic variant. To overcome this challenge, reduced complexity crosses (RCC) between closely related inbred mouse strains have been proposed as a method for rapidly identifying and validating functional variants. The RCC approach is dependent on identifying phenotypic differences between substrains. To date, however, the study of addiction-relevant behaviors has been limited to very few sets of substrains, mostly comprising the C57BL/6 lineage. The present study expands upon the current literature to assess cocaine-induced locomotor activation in 20 inbred mouse substrains representing six inbred strain lineages (A/J, BALB/c, FVB/N, C3H/He, DBA/2 and NOD) that were either bred in-house or supplied directly by a commercial vendor. To our knowledge, we are the first to identify significant differences in cocaine-induced locomotor response in several of these inbred substrains. The identification of substrain differences allows for the initiation of RCC populations to more rapidly identify specific genetic variants associated with acute cocaine response. The observation of behavioral profiles that differ between mice generated in-house and those that are vendor-supplied also presents an opportunity to investigate the influence of environmental factors on cocaine-induced locomotor activity.
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Affiliation(s)
- Christiann H. Gaines
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Neuroscience Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Sarah A. Schoenrock
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Joseph Farrington
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - David F. Lee
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Pharmacology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Lucas J. Aponte-Collazo
- Pharmacology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Pharmacology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Ginger D. Shaw
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Darla R. Miller
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Martin T. Ferris
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Fernando Pardo-Manuel de Villena
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Lisa M. Tarantino
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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3
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Sun KY, Oreper D, Schoenrock SA, McMullan R, Giusti-Rodríguez P, Zhabotynsky V, Miller DR, Tarantino LM, Pardo-Manuel de Villena F, Valdar W. Bayesian modeling of skewed X inactivation in genetically diverse mice identifies a novel Xce allele associated with copy number changes. Genetics 2021; 218:6162162. [PMID: 33693696 DOI: 10.1093/genetics/iyab034] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 02/15/2021] [Indexed: 11/13/2022] Open
Abstract
Female mammals are functional mosaics of their parental X-linked gene expression due to X chromosome inactivation (XCI). This process inactivates one copy of the X chromosome in each cell during embryogenesis and that state is maintained clonally through mitosis. In mice, the choice of which parental X chromosome remains active is determined by the X chromosome controlling element (Xce), which has been mapped to a 176-kb candidate interval. A series of functional Xce alleles has been characterized or inferred for classical inbred strains based on biased, or skewed, inactivation of the parental X chromosomes in crosses between strains. To further explore the function structure basis and location of the Xce, we measured allele-specific expression of X-linked genes in a large population of F1 females generated from Collaborative Cross (CC) strains. Using published sequence data and applying a Bayesian "Pólya urn" model of XCI skew, we report two major findings. First, inter-individual variability in XCI suggests mouse epiblasts contain on average 20-30 cells contributing to brain. Second, CC founder strain NOD/ShiLtJ has a novel and unique functional allele, Xceg, that is the weakest in the Xce allelic series. Despite phylogenetic analysis confirming that NOD/ShiLtJ carries a haplotype almost identical to the well-characterized C57BL/6J (Xceb), we observed unexpected patterns of XCI skewing in females carrying the NOD/ShiLtJ haplotype within the Xce. Copy number variation is common at the Xce locus and we conclude that the observed allelic series is a product of independent and recurring duplications shared between weak Xce alleles.
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Affiliation(s)
- Kathie Y Sun
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Bioinformatics and Computational Biology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Daniel Oreper
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Bioinformatics and Computational Biology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sarah A Schoenrock
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Neuroscience Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rachel McMullan
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Genetics and Molecular Biology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paola Giusti-Rodríguez
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Vasyl Zhabotynsky
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Darla R Miller
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lisa M Tarantino
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Fernando Pardo-Manuel de Villena
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - William Valdar
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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4
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Gaines CH, Snyder AE, Ervin RB, Farrington J, Walsh K, Schoenrock SA, Tarantino LM. Behavioral characterization of a novel Cisd2 mutant mouse. Behav Brain Res 2021; 405:113187. [PMID: 33610659 DOI: 10.1016/j.bbr.2021.113187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 02/11/2021] [Accepted: 02/12/2021] [Indexed: 12/11/2022]
Abstract
Wolfram syndrome (WFS) is a rare autosomal recessive disorder characterized by diabetes mellitus and insipidus, progressive optic atrophy and sensorineural deafness. An increased incidence of psychiatric disorders has also been reported in WFS patients. There are two subtypes of WFS. Type 1 (WFS1) is caused by mutations in the WFS1 gene and type 2 (WFS2) results from mutations in the CISD2 gene. Existing Wfs1 knockout mice exhibit many WFS1 cardinal symptoms including diabetic nephropathy, metabolic disruptions and optic atrophy. Far fewer studies have examined loss of Cisd2 function in mice. We identified B6.DDY-Cisd2m1Lmt, a mouse model with a spontaneous mutation in the Cisd2 gene. B6.DDY-Cisd2m1Lmt mice were initially identified based on the presence of audible sonic vocalizations as well as decreased body size and weight compared to unaffected wildtype littermates. Although Wfs1 knockout mice have been characterized for numerous behavioral phenotypes, similar studies have been lacking for Cisd2 mutant mice. We tested B6.DDY-Cisd2m1Lmt mice in a battery of behavioral assays that model phenotypes related to neurological and psychiatric disorders including anxiety, sensorimotor gating, stress response, social interaction and learning and memory. B6.DDY-Cisd2m1Lmt mice displayed hypoactivity across several behavioral tests, exhibited increased stress response and had deficits in spatial learning and memory and sensorimotor gating compared to wildtype littermates. Our data indicate that the B6.DDY-Cisd2m1Lmt mouse strain is a useful model to investigate potential mechanisms underlying the neurological and psychiatric symptoms observed in WFS.
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Affiliation(s)
- Christiann H Gaines
- Department of Genetics, University of North Carolina at Chapel Hill, NC, United States; Neuroscience Curriculum, University of North Carolina at Chapel Hill, NC, United States
| | - Angela E Snyder
- Department of Genetics, University of North Carolina at Chapel Hill, NC, United States
| | - Robin B Ervin
- Psychiatry Department, School of Medicine, University of North Carolina at Chapel Hill, NC, United States
| | - Joseph Farrington
- Department of Genetics, University of North Carolina at Chapel Hill, NC, United States
| | - Kenneth Walsh
- Department of Genetics, University of North Carolina at Chapel Hill, NC, United States
| | - Sarah A Schoenrock
- Department of Genetics, University of North Carolina at Chapel Hill, NC, United States; Neuroscience Curriculum, University of North Carolina at Chapel Hill, NC, United States
| | - Lisa M Tarantino
- Department of Genetics, University of North Carolina at Chapel Hill, NC, United States; Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, NC, United States.
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5
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Sigmon JS, Blanchard MW, Baric RS, Bell TA, Brennan J, Brockmann GA, Burks AW, Calabrese JM, Caron KM, Cheney RE, Ciavatta D, Conlon F, Darr DB, Faber J, Franklin C, Gershon TR, Gralinski L, Gu B, Gaines CH, Hagan RS, Heimsath EG, Heise MT, Hock P, Ideraabdullah F, Jennette JC, Kafri T, Kashfeen A, Kulis M, Kumar V, Linnertz C, Livraghi-Butrico A, Lloyd KCK, Lutz C, Lynch RM, Magnuson T, Matsushima GK, McMullan R, Miller DR, Mohlke KL, Moy SS, Murphy CEY, Najarian M, O'Brien L, Palmer AA, Philpot BD, Randell SH, Reinholdt L, Ren Y, Rockwood S, Rogala AR, Saraswatula A, Sassetti CM, Schisler JC, Schoenrock SA, Shaw GD, Shorter JR, Smith CM, St Pierre CL, Tarantino LM, Threadgill DW, Valdar W, Vilen BJ, Wardwell K, Whitmire JK, Williams L, Zylka MJ, Ferris MT, McMillan L, Manuel de Villena FP. Content and Performance of the MiniMUGA Genotyping Array: A New Tool To Improve Rigor and Reproducibility in Mouse Research. Genetics 2020; 216:905-930. [PMID: 33067325 PMCID: PMC7768238 DOI: 10.1534/genetics.120.303596] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 10/06/2020] [Indexed: 12/14/2022] Open
Abstract
The laboratory mouse is the most widely used animal model for biomedical research, due in part to its well-annotated genome, wealth of genetic resources, and the ability to precisely manipulate its genome. Despite the importance of genetics for mouse research, genetic quality control (QC) is not standardized, in part due to the lack of cost-effective, informative, and robust platforms. Genotyping arrays are standard tools for mouse research and remain an attractive alternative even in the era of high-throughput whole-genome sequencing. Here, we describe the content and performance of a new iteration of the Mouse Universal Genotyping Array (MUGA), MiniMUGA, an array-based genetic QC platform with over 11,000 probes. In addition to robust discrimination between most classical and wild-derived laboratory strains, MiniMUGA was designed to contain features not available in other platforms: (1) chromosomal sex determination, (2) discrimination between substrains from multiple commercial vendors, (3) diagnostic SNPs for popular laboratory strains, (4) detection of constructs used in genetically engineered mice, and (5) an easy-to-interpret report summarizing these results. In-depth annotation of all probes should facilitate custom analyses by individual researchers. To determine the performance of MiniMUGA, we genotyped 6899 samples from a wide variety of genetic backgrounds. The performance of MiniMUGA compares favorably with three previous iterations of the MUGA family of arrays, both in discrimination capabilities and robustness. We have generated publicly available consensus genotypes for 241 inbred strains including classical, wild-derived, and recombinant inbred lines. Here, we also report the detection of a substantial number of XO and XXY individuals across a variety of sample types, new markers that expand the utility of reduced complexity crosses to genetic backgrounds other than C57BL/6, and the robust detection of 17 genetic constructs. We provide preliminary evidence that the array can be used to identify both partial sex chromosome duplication and mosaicism, and that diagnostic SNPs can be used to determine how long inbred mice have been bred independently from the relevant main stock. We conclude that MiniMUGA is a valuable platform for genetic QC, and an important new tool to increase the rigor and reproducibility of mouse research.
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Affiliation(s)
- John Sebastian Sigmon
- Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Matthew W Blanchard
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
- Mutant Mouse Resource and Research Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Ralph S Baric
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Timothy A Bell
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Jennifer Brennan
- Mutant Mouse Resource and Research Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | | | - A Wesley Burks
- Department of Pediatrics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - J Mauro Calabrese
- Department of Pharmacology, University of North Carolina, Chapel Hill, North Carolina 27599
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Kathleen M Caron
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Richard E Cheney
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Dominic Ciavatta
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Frank Conlon
- Department of Biology, University of North Carolina, Chapel Hill, North Carolina 27599
| | - David B Darr
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | - James Faber
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Craig Franklin
- Department of Veterinary Pathobiology, University of Missouri, Columbia, Missouri 65211
| | - Timothy R Gershon
- Department of Neurology, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Lisa Gralinski
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Bin Gu
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Christiann H Gaines
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Robert S Hagan
- Division of Pulmonary Diseases and Critical Care Medicine, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Ernest G Heimsath
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Mark T Heise
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Pablo Hock
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Folami Ideraabdullah
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599
- Department of Nutrition, Gillings School of Public Health, University of North Carolina, Chapel Hill, North Carolina 27599
| | - J Charles Jennette
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Tal Kafri
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, North Carolina 27599
- Gene Therapy Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Anwica Kashfeen
- Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Mike Kulis
- Department of Pediatrics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Vivek Kumar
- The Jackson Laboratory, Bar Harbor, Maine 04609
| | - Colton Linnertz
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Alessandra Livraghi-Butrico
- Marsico Lung Institute/UNC Cystic Fibrosis Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | - K C Kent Lloyd
- Department of Surgery, University of California Davis, Davis, California 95616
- School of Medicine, University of California Davis, California 95616
- Mouse Biology Program, University of California Davis, California 95616
| | | | - Rachel M Lynch
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Terry Magnuson
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
- Mutant Mouse Resource and Research Center, University of North Carolina, Chapel Hill, North Carolina 27599
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Glenn K Matsushima
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, North Carolina 27599
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Rachel McMullan
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Darla R Miller
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Sheryl S Moy
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina 27599
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Caroline E Y Murphy
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Maya Najarian
- Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Lori O'Brien
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, North Carolina 27599
| | | | - Benjamin D Philpot
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, North Carolina 27599
- Marsico Lung Institute/UNC Cystic Fibrosis Center, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Scott H Randell
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, North Carolina 27599
| | | | - Yuyu Ren
- University of California San Diego, La Jolla, California 92093
| | | | - Allison R Rogala
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, North Carolina 27599
- Division of Comparative Medicine, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Avani Saraswatula
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Christopher M Sassetti
- Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts 01655
| | - Jonathan C Schisler
- Department of Pharmacology, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Sarah A Schoenrock
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Ginger D Shaw
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - John R Shorter
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Clare M Smith
- Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts 01655
| | | | - Lisa M Tarantino
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina 27599
| | - David W Threadgill
- University of California San Diego, La Jolla, California 92093
- Department of Biochemistry and Biophysics, Texas A&M University, Texas 77843
| | - William Valdar
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Barbara J Vilen
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, North Carolina 27599
| | | | - Jason K Whitmire
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Lucy Williams
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Mark J Zylka
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Martin T Ferris
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Leonard McMillan
- Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina 27599
| | - Fernando Pardo Manuel de Villena
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599
- Mutant Mouse Resource and Research Center, University of North Carolina, Chapel Hill, North Carolina 27599
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599
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6
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Cates HM, Benca-Bachman CE, de Guglielmo G, Schoenrock SA, Shu C, Kallupi M. National Institute on Drug Abuse genomics consortium white paper: Coordinating efforts between human and animal addiction studies. Genes Brain Behav 2019; 18:e12577. [PMID: 31012252 DOI: 10.1111/gbb.12577] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 04/15/2019] [Accepted: 04/15/2019] [Indexed: 12/14/2022]
Abstract
The National Institute on Drug Abuse Genetics and Epigenetics Cross-Cutting Research Team convened a diverse group of researchers, clinicians, and healthcare providers on the campus of the University of California, San Diego, in June 2018. The goal was to develop strategies to integrate genetics and phenotypes across species to achieve a better understanding of substance use disorders through associations between genotypes and addictive behaviors. This conference (a) discussed progress in harmonizing large opioid genetics cohorts, (b) discussed phenotypes that are used for genetics studies in humans, (c) examined phenotypes that are used for genetics studies in animal models, (d) identified synergies and gaps in phenotypic analyses of human and animal models and (e) identified strategies to integrate genetics and genomics data with phenotypes across species. The meeting consisted of panels that focused on phenotype harmonization (Dr. Laura Bierut, Dr. Olivier George, Dr. Dan Larach and Dr. Sesh Mudumbai), translating genetic findings between species (Dr. Elissa Chesler, Dr. Gary Peltz and Dr. Abraham Palmer), interpreting and understanding allelic variations (Dr. Vanessa Troiani and Dr. Tamara Richards) and pathway conservation in animal models and human studies (Dr. Robert Hitzemann, Dr. Huda Akil and Dr. Laura Saba). There were also updates that were provided by large consortia (Dr. Susan Tapert, Dr. Danielle Dick, Dr. Howard Edenberg and Dr. Eric Johnson). Collectively, the conference was convened to discuss progress and changes in genome-wide association studies.
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Affiliation(s)
- Hannah M Cates
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | - Sarah A Schoenrock
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Chang Shu
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Marsida Kallupi
- Department of Neuroscience, The Scripps Research Institute, La Jolla, California
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Schoenrock SA, Oreper D, Farrington J, McMullan RC, Ervin R, Miller DR, Pardo-Manuel de Villena F, Valdar W, Tarantino LM. Perinatal nutrition interacts with genetic background to alter behavior in a parent-of-origin-dependent manner in adult Collaborative Cross mice. Genes Brain Behav 2017; 17:e12438. [PMID: 29125223 DOI: 10.1111/gbb.12438] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 10/27/2017] [Accepted: 11/04/2017] [Indexed: 12/11/2022]
Abstract
Previous studies in animal models and humans have shown that exposure to nutritional deficiencies in the perinatal period increases the risk of psychiatric disease. Less well understood is how such effects are modulated by the combination of genetic background and parent-of-origin (PO). To explore this, we exposed female mice from 20 Collaborative Cross (CC) strains to protein deficient, vitamin D deficient, methyl donor enriched or standard diet during the perinatal period. These CC females were then crossed to a male from a different CC strain to produce reciprocal F1 hybrid females comprising 10 distinct genetic backgrounds. The adult F1 females were then tested in the open field, light/dark, stress-induced hyperthermia, forced swim and restraint stress assays. Our experimental design allowed us to estimate effects of genetic background, perinatal diet, PO and their interactions on behavior. Genetic background significantly affected all assessed phenotypes. Perinatal diet exposure interacted with genetic background to affect body weight, basal body temperature, anxiety-like behavior and stress response. In 8 of 9 genetic backgrounds, PO effects were observed on multiple phenotypes. Additionally, we identified a small number of diet-by-PO effects on body weight, stress response, anxiety- and depressive-like behavior. Our data show that rodent behaviors that model psychiatric disorders are affected by genetic background, PO and perinatal diet, as well as interactions among these factors.
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Affiliation(s)
- S A Schoenrock
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina.,Neuroscience Curriculum, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - D Oreper
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina.,Bioinformatics and Computational Biology Curriculum, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - J Farrington
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - R C McMullan
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina.,Curriculum in Genetics and Molecular Biology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - R Ervin
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - D R Miller
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina.,Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - F Pardo-Manuel de Villena
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina.,Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - W Valdar
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina.,Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - L M Tarantino
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina.,Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina
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Schoenrock SA, Tarantino LM. Developmental vitamin D deficiency and schizophrenia: the role of animal models. Genes Brain Behav 2016; 15:45-61. [PMID: 26560996 DOI: 10.1111/gbb.12271] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Revised: 10/22/2015] [Accepted: 11/04/2015] [Indexed: 01/10/2023]
Abstract
Schizophrenia is a debilitating neuropsychiatric disorder that affects 1% of the US population. Based on twin and genome-wide association studies, it is clear that both genetics and environmental factors increase the risk for developing schizophrenia. Moreover, there is evidence that conditions in utero, either alone or in concert with genetic factors, may alter neurodevelopment and lead to an increased risk for schizophrenia. There has been progress in identifying genetic loci and environmental exposures that increase risk, but there are still considerable gaps in our knowledge. Furthermore, very little is known about the specific neurodevelopmental mechanisms upon which genetics and the environment act to increase disposition to developing schizophrenia in adulthood. Vitamin D deficiency during the perinatal period has been hypothesized to increase risk for schizophrenia in humans. The developmental vitamin D (DVD) deficiency hypothesis of schizophrenia arises from the observation that disease risk is increased in individuals who are born in winter or spring, live further from the equator or live in urban vs. rural settings. These environments result in less exposure to sunlight, thereby reducing the initial steps in the production of vitamin D. Rodent models have been developed to characterize the behavioral and developmental effects of DVD deficiency. This review focuses on these animal models and discusses the current knowledge of the role of DVD deficiency in altering behavior and neurobiology relevant to schizophrenia.
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Affiliation(s)
- S A Schoenrock
- Department of Psychiatry, School of Medicine, Chapel Hill, NC, USA.,Neurobiology Curriculum, Chapel Hill, NC, USA
| | - L M Tarantino
- Department of Psychiatry, School of Medicine, Chapel Hill, NC, USA.,Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
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Xue J, Schoenrock SA, Valdar W, Tarantino LM, Ideraabdullah FY. Maternal vitamin D depletion alters DNA methylation at imprinted loci in multiple generations. Clin Epigenetics 2016; 8:107. [PMID: 27777636 PMCID: PMC5062906 DOI: 10.1186/s13148-016-0276-4] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Accepted: 10/07/2016] [Indexed: 01/07/2023] Open
Abstract
Background Environmental perturbation of epigenetic mechanisms is linked to a growing number of diseases. Characterizing the role environmental factors play in modifying the epigenome is important for disease etiology. Vitamin D is an essential nutrient affecting brain, bone, heart, immune and reproductive health. Vitamin D insufficiency is a global issue, and the role in maternal and child health remains under investigation. Methods We used Collaborative Cross (CC) inbred mice to characterize the effect of maternal vitamin D depletion on offspring phenotypic and epigenetic outcomes at imprinted domains (H19/Igf2, Snrpn, Dlk1/Gtl2, and Grb10) in the soma (liver) and germline (sperm). We assessed outcomes in two generations of offspring to determine heritability. We used reciprocal crosses between lines CC001/Unc and CC011/Unc to investigate parent of origin effects. Results Maternal vitamin D deficiency led to altered body weight and DNA methylation in two generations of offspring. Loci assayed in adult liver and sperm were mostly hypomethylated, but changes were few and small in effect size (<7 % difference on average). There was no change in total expression of genes adjacent to methylation changes in neonatal liver. Methylation changes were cell type specific such that changes at IG-DMR were present in sperm but not in liver. Some methylation changes were distinct between generations such that methylation changes at the H19ICR in second-generation liver were not present in first-generation sperm or liver. Interestingly, some diet-dependent changes in body weight and methylation were seemingly influenced by parent of origin such that reciprocal crosses exhibited inverse effects. Conclusions These findings demonstrate that maternal vitamin D status plays a role in determining DNA methylation state in the germline and soma. Detection of methylation changes in the unexposed second-generation demonstrates that maternal vitamin D depletion can have long-term effects on the epigenome of subsequent generations. Differences in vitamin D-dependent epigenetic state between cell types and generations indicate perturbation of the epigenetic landscape rather than a targeted, locus-specific effect. While the biological importance of these subtle changes remains unclear, they warrant an investigation of epigenome-wide effects of maternal vitamin D depletion. Electronic supplementary material The online version of this article (doi:10.1186/s13148-016-0276-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jing Xue
- Nutrition Research Institute, University of North Carolina, Kannapolis, NC 28081 USA
| | - Sarah A Schoenrock
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, NC 27599 USA ; Neurobiology Curriculum, University of North Carolina, Chapel Hill, NC 27599 USA
| | - William Valdar
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, NC 27599 USA ; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Lisa M Tarantino
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, NC 27599 USA ; Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Folami Y Ideraabdullah
- Nutrition Research Institute, University of North Carolina, Kannapolis, NC 28081 USA ; Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, NC 27599 USA ; Department of Nutrition, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC 27599 USA
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