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Exome sequencing and arrayCGH detection of gene sequence and copy number variation between ILS and ISS mouse strains

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Abstract

It has been well documented that genetic factors can influence predisposition to develop alcoholism. While the underlying genomic changes may be of several types, two of the most common and disease associated are copy number variations (CNVs) and sequence alterations of protein coding regions. The goal of this study was to identify CNVs and single-nucleotide polymorphisms that occur in gene coding regions that may play a role in influencing the risk of an individual developing alcoholism. Toward this end, two mouse strains were used that have been selectively bred based on their differential sensitivity to alcohol: the Inbred long sleep (ILS) and Inbred short sleep (ISS) mouse strains. Differences in initial response to alcohol have been linked to risk for alcoholism, and the ILS/ISS strains are used to investigate the genetics of initial sensitivity to alcohol. Array comparative genomic hybridization (arrayCGH) and exome sequencing were conducted to identify CNVs and gene coding sequence differences, respectively, between ILS and ISS mice. Mouse arrayCGH was performed using catalog Agilent 1 × 244 k mouse arrays. Subsequently, exome sequencing was carried out using an Illumina HiSeq 2000 instrument. ArrayCGH detected 74 CNVs that were strain-specific (38 ILS/36 ISS), including several ISS-specific deletions that contained genes implicated in brain function and neurotransmitter release. Among several interesting coding variations detected by exome sequencing was the gain of a premature stop codon in the alpha-amylase 2B (AMY2B) gene specifically in the ILS strain. In total, exome sequencing detected 2,597 and 1,768 strain-specific exonic gene variants in the ILS and ISS mice, respectively. This study represents the most comprehensive and detailed genomic comparison of ILS and ISS mouse strains to date. The two complementary genome-wide approaches identified strain-specific CNVs and gene coding sequence variations that should provide strong candidates to contribute to the alcohol-related phenotypic differences associated with these strains.

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References

  • Axelsson E, Ratnakumar A, Arendt M-L, Maqbool K, Webster MT, Perloski M, Liberg O, Arnemo JM, Hedhammar A, Lindblad-Toh K (2013) The genomic signature of dog domestication reveals adaptation to a starch-rich diet. Nature 495:360–364

    Article  CAS  PubMed  Google Scholar 

  • Bennet B, Johnson TE (1998) Development of congenics for hypnotic sensitivity to ethanol by QTL-marker-assisted counter selection. Mamm Genome 9:969–974

    Article  Google Scholar 

  • Bennett B, Beeson M, Gordon L, Johnson TE (2000a) Reciprocal congenics defining individual quantitative trait loci for sedative/hypnotic sensitivity to ethanol. Alcohol Clin Exp Res 26:149–157

    Article  Google Scholar 

  • Bennett B, Beeson M, Gordon L, Carosone-Link P, Johnson TE (2000b) Genetic dissection of quantitative trait loci specifying sensitivity to ethanol: mapping with interval-specific congenic recombinant lines. Alcohol Clin Exp Res 26:1615–1624

    Article  Google Scholar 

  • Bouchery EE, Harwood HJ, Sacks JJ, Simon CJ, Brewer RD (2011) Economic costs of excessive alcohol consumption in the U.S., 2006. Am J Prev Med 41(5):516–524

    Article  PubMed  Google Scholar 

  • Brunetti-Pierri N, Berg JS, Scaglia F, Belmont J, Bacino CA, Sahoo T, Lalani SR, Graham B, Lee B, Shinawi M, Shen J, Kang SH, Pursley A, Lotze T, Kennedy G, Lansky-Shafer S, Weaver C, Roeder ER, Grebe TA, Arnold GL, Hutchison T, Reimschisel T, Amato S, Geragthy MT, Innis JW, Obersztyn E, Nowakowska B, Rosengren SS, Bader PI, Grange DK, Naqvi S, Garnica AD, Bernes SM, Fong CT, Summers A, Walters WD, Lupski JR, Stankiewicz P, Cheung SW, Patel A (2008) Recurrent reciprocal 1q21.1-1q21.2 deletions and duplications associated with microcephaly or macrocephaly and developmental and behavioral abnormalities. Nature Genet 40:1466–1471

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Carette JE, Guimaraes CP, Varadarajan M, Park AS, Wuethrich I, Godarova A, Kotecki M, Cochran BH, Spooner E, Ploegh HL, Brummelkamp TR (2009) Haploid genetic screens in human cells identify host factors used by pathogens. Science 326(5957):1231–1235

    Article  CAS  PubMed  Google Scholar 

  • Collins AC (1981) A review of research using short-sleep and long-sleep mice. In: McClearn GE, Deitrich RA, Erwin VG (eds) Development of animal models as pharmacogenetic tools. U.S. Government Printing Office, Washington, DC, pp 161–170

    Google Scholar 

  • Consortium International Schizophrenia (2008) Rare chromosomal deletions and duplications increase risk of schizophrenia. Nature 455:178–179

    Article  Google Scholar 

  • Cutler G, Kassner PD (2009) Copy number variation in the mouse genome: implications for the mouse as a model organism for human disease. Cytogenet Genome Res 123(1–4):297–306

    CAS  PubMed Central  Google Scholar 

  • Darlington TM, Ehringer MA, Larson C, Phang TL, Radcliffe RA (2013) Transcriptome analysis of Inbred Long Sleep and Inbred Short Sleep Mice. Genes Brain Behav 12:263–274

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • de Kovel CG, Trucks H, Helbig I, Mefford HC, Baker C, Leu C, Kluck C, Muhle H, von Spiczak S, Ostertag P, Obermeier T, Kleefuß-Lie AA, Hallmann K, Steffens M, Gaus V, Klein KM, Hamer HM, Rosenow F, Brilstra EH, K-N Trenité D, Marielle Swinkels MEM, Weber YG, Unterberger I, Zimprich F, Urak L, Feucht M, Fuchs K, Møller RS, Hjalgrim H, De Jonghe P, Suls A, Rückert I-M, Wichmann H-E, Franke A, Schreiber S, Nürnberg P, Elger CE, Lerche H, Stephani U, Koeleman BPC, Lindhout D, Eichler EE, Sander T (2010) Recurrent microdeletions at 15q11.2 and 16p13.11 predispose to idiopathic generalized epilepsies. Brain 133:23–32

    Article  PubMed Central  PubMed  Google Scholar 

  • Deitrich RA (1990) Selective breeding of mice and rats for initial sensitivity to ethanol: contributions to understanding ethanol’s actions. In: Deitrich RA, Pawlowski AA (eds) Initial Sensitivity to Alcohol. National Institute of Alcohol Abuse and Alcoholism, Rockville, pp 7–60

    Google Scholar 

  • Dick DM, Prescott C, McGue M (2009) The genetics of substance use and substance use disorders. In: Yong-Kyu K (ed) Handbook of behavior genetics. Springer, New York, pp 433–453

    Chapter  Google Scholar 

  • Dumas LD, O’Bleness MS, Davis JM, Dickens CM, Anderson N, Keeney JG, Jackson J, Sikela M, Raznahan A, Giedd J, Rapoport J, Nagamani SSC, Erez A, Brunetti-Pierri N, Sugalski R, Lupski JR, Fingerlin T, Cheung SW, Sikela JM (2012) DUF1220-Domain Copy Number Implicated in Human Brain-Size Pathology and Evolution. The American Journal of Human Genetics 91:444–454

    Article  CAS  Google Scholar 

  • Ehringer MA, Sikela JM (2002) Genomic approaches to the genetics of alcoholism. Alcohol Res. Health 26:181–192

    Google Scholar 

  • Ehringer MA, Thompson JT, Conroy O, Xu Y, Yang F, Canniff J, Beeson M, Gordon L, Bennett B, Johnson TE, Sikela JM (2001) High-throughput sequence identification of gene coding variants within alcohol-related QTLs. Mam. Genome 12:657–663

    CAS  Google Scholar 

  • Ehringer MA, Thompson J, Conroy O, Yang F, Hink R, Bennett B, Johnson TE, Sikela JM (2002) Fine mapping of polymorphic alcohol-related quantitative trait loci candidate genes using interval-specific congenic recombinant mice. Alcohol Clin Exp Res 26:160–1603

    Google Scholar 

  • Grant BF, Dawson DA, Stinson FS, Chou SP, Dufour MC, Pickering RP (2004) The 12-month prevalence and trends in DSM-IV alcohol abuse and dependence: United States. Drug Alcohol Depend 74(3):223–234

    Article  PubMed  Google Scholar 

  • Hui X, Zhu W, Wang Y, Lam KS, Zhang J, Wu D, Kraegen EW, Li Y, Xu A (2009) Major urinary protein-1 increases energy expenditure and improves glucose intolerance through enhancing mitochondrial function in skeletal muscle of diabetic mice. J Biol Chem 284(21):14050–14057

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Jaillard S, Drunat S, Bendavid C, Aboura A, Etcheverry A, Journel H, Delahaye A, Pasquier L, Bonneau D, Toutain A, Burglen L, Guichet A, Pipiras E, Gilbert-Dussardier B, Benzacken B, Martin-Coignard D, Henry C, David A, Lucas J, Mosser J, David V, Odent S, Verloes A, Dubourg C (2010) Identification of gene copy number variations in patients with mental retardation using array-CGH: novel syndromes in a large French series. Eur J Med Genet 53:66–75

    Article  PubMed  Google Scholar 

  • Jin Z, Mu YW, Sun JY, Li XM, Gao XL, Lu J (2013) Proteome analysis of metabolic proteins (pI 4–7) in barley (Hordeum vulgare) malts and initial application in malt quality discrimination. J Agric Food Chem 61(2):402–409

    Article  CAS  PubMed  Google Scholar 

  • Koyama I, Komine S, Iino N, Hokari S, Igarashi S, Alpers DH, Komoda T (2001) α-amylase expressed in human liver is encoded by the AMY-2B gene identified in tumorous tissues. Clin Chim Acta 309:79–83

    Article  Google Scholar 

  • Li H, Durbin R (2009) Fast and accurate short read alignment with Burrows–Wheeler Transform. Bioinformatics 25:1754–1760

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • MacLaren EJ, Sikela JM (2005) Cerebellar gene expression profiling and eQTL analysis in inbred mouse strains selected for ethanol sensitivity. Alcohol Clin Exp Res 29:1568–1579

    Article  CAS  PubMed  Google Scholar 

  • MacLaren EJ, Bennett B, Johnson TE, Sikela JM (2006) Expression profiling identifies novel candidate genes for ethanol sensitivity QTLs. Mamm Genome 17:147–156

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Mandel AL, Peyrot des Gachons C, Plank KL, Alarcon S, Breslin PAS (2010) Individual differences in AMY1 gene copy number, salivary α-amylase levels, and the perception of oral starch. PLoS One 5(10):e13352

    Article  PubMed Central  PubMed  Google Scholar 

  • Markel PD, DeFries JC, Johnson TE (1995) Use of repeated measures in an analysis of ethanol-induced loss of righting reflex in inbred long-sleep and short-sleep mice. Alcohol Clin Exp Res 19:299–304

    Article  CAS  PubMed  Google Scholar 

  • Markel PD, Bennett B, Beeson M, Gordon L, Johnson TE (1997) Confirmation of quantitative trait loci for ethanol sensitivity in long-sleep and short-sleep mice. Genome Res 7:92–99

    Article  CAS  PubMed  Google Scholar 

  • McClearn GE, Kakihana R (1981) Selective breeding for ethanol sensitivity: short-sleep and long-sleep mice. In: McClearn GE, Deitrich RA, Erwin VG (eds) Development of animal models as pharmacogenetic tools. U.S. Government Printing Office, Washington, DC, pp 147–159 DHHS Publication No. (ADM) 81-113

    Google Scholar 

  • McGeachin RL, Potter BA (1960) Amylase in isolated liver cells. J Biol Chem 235:1354–1358

    CAS  Google Scholar 

  • Mefford HC, Sharp AJ, Baker C, Itsara A, Jiang Z, Buysse K, Huang S, Maloney VK, Crolla JA, Baralle D, Collins A, Mercer C, Norga K, de Ravel T, Devriendt K, Bongers EMHF, de Leeuw N, Reardon W, Gimelli S, Bena F, Hennekam RC, Male A, Gaunt L, Clayton-Smith J, Simonic I, Park SM, Mehta SG, Nik-Zainal S, Woods CG, Firth HV, Parkin G, Fichera M, Reitano S, Lo Giudice M, Li KE, Casuga I, Broomer A, Conrad B, Schwerzmann M, Raber L, Gallati S, Striano P, Coppola A, Tolmie JL, Tobias ES, Lilley C, Armengol L, Spysschaert Y, Verloo P, De Coene A, Goossens L, Mortier G, Speleman F, van Binsbergen E, Nelen MR, Hochstenbach R, Poot M, Gallagher L, Gill M, McClellan J, King MC, Regan R, Skinner C, Stevenson RE, Antonarakis SE, Chen CF, Estivill X, Menten B, Gimelli G, Gribble S, Schwartz S, Sutcliffe JS, Walsh T, Knight SJL, Sebat J, Romano C, Schwartz CE, Veltman JA, de Vries BBA, Vermeesch JR, Barber JCK, Willatt L, Tassabehji M, Eichler EE (2008) Recurrent rearrangements of chromosome 1q21.1–1q21.2 and variable pediatric phenotypes. N Engl J Med 359:1685–1699

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Perry GH, Dominy NJ, Claw KG, Lee AS, Fiegler H, Redon R, Werner J, Villanea FA, Mountain JL, Misra R, Carter NP, Lee Ch, Stone AC (2007) Diet and the evolution of human amylase gene copy number variation. Nat Genet 39:1256–1260

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Pinto D, Pagnamenta AT, Klei L, Anney R, Merico D, Regan R, Conroy J, Magalhaes TR, Correia C, Abrahams BS, Almeida J, Bacchelli E, Bader GD, Bailey AJ, Baird G, Battaglia A, Berney T, Bolshakova N, Bölte S, Bolton PF, Bourgeron T, Brennan S, Brian J, Bryson SE, Carson AR, Casallo G, Casey J, Chung BH, Cochrane L, Corsello C, Crawford EL, Crossett A, Cytrynbaum C, Dawson G, de Jonge M, Delorme R, Drmic I, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, Fombonne E, Freitag CM, Gilbert J, Gillberg C, Glessner JT, Goldberg J, Green A, Green J, Guter SJ, Hakonarson H, Heron EA, Hill M, Holt R, Howe JL, Hughes G, Hus V, Igliozzi R, Kim C, Klauck SM, Kolevzon A, Korvatska O, Kustanovich V, Lajonchere CM, Lamb JA, Laskawiec M, Leboyer M, Le Couteur A, Leventhal BL, Lionel AC, Liu XQ, Lord C, Lotspeich L, Lund SC, Maestrini E, Mahoney W, Mantoulan C, Marshall CR, McConachie H, McDougle CJ, McGrath J, McMahon WM, Merikangas A, Migita O, Minshew NJ, Mirza GK, Munson J, Nelson SF, Noakes C, Noor A, Nygren G, Oliveira G, Papanikolaou K, Parr JR, Parrini B, Paton T, Pickles A, Pilorge M, Piven J, Ponting CP, Posey DJ, Poustka A, Poustka F, Prasad A, Ragoussis J, Renshaw K, Rickaby J, Roberts W, Roeder K, Roge B, Rutter ML, Bierut LJ, Rice JP, Salt J, Sansom K, Sato D, Segurado R, Sequeira AF, Senman L, Shah N, Sheffield VC, Soorya L, Sousa I, Stein O, Sykes N, Stoppioni V, Strawbridge C, Tancredi R, Tansey K, Thiruvahindrapduram B, Thompson AP, Thomson S, Tryfon A, Tsiantis J, Van Engeland H, Vincent JB, Volkmar F, Wallace S, Wang K, Wang Z, Wassink TH, Webber C, Weksberg R, Wing K, Wittemeyer K, Wood S, Wu J, Yaspan BL, Zurawiecki D, Zwaigenbaum L, Buxbaum JD, Cantor RM, Cook EH, Coon H, Cuccaro ML, Devlin B, Ennis S, Gallagher L, Geschwind DH, Gill M, Haines JL, Hallmayer J, Miller J, Monaco AP, Nurnberger JI Jr, Paterson AD, Pericak-Vance MA, Schellenberg GD, Szatmari P, Vicente AM, Vieland VJ, Wijsman EM, Scherer SW, Sutcliffe JS, Betancur C (2010) Functional impact of global rare copy number variation in autism spectrum disorders. Nature 466:368–372

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Sampietro M, Iolascon A (1999) Molecular pathology of Crigler–Najjar type I and II and Gilbert’s Syndrome. Haematologica 84(2):150–157

    CAS  PubMed  Google Scholar 

  • Samuelson LC, Keller PR, Darlington GJ, Meisler MH (1988a) Glucocorticoid and developmental regulation of amylase mRNAs in mouse liver cells. Mol Cell Biol 8:3857–3863

    CAS  PubMed Central  PubMed  Google Scholar 

  • Samuelson LC, Wiebauer K, Gumuci DL, Meisler MH (1988b) Expression of the human amylase genes: recent origin of a salivary amylase promoter from an actin pseudogene. Nucleic Acids Res 16:8261–8275

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Samuelson LC, Biebauer K, Snow CM, Meisler MH (1990) Retroviral and pseudogene insertion sites reveal the lineage of human salivary and pancreatic amylase genes from a single gene during primate evolution. Mol Cell Biol 10:2513–2520

    CAS  PubMed Central  PubMed  Google Scholar 

  • Wang K, Li M, Hakonarson H (2010) ANNOVAR: functional annotation of genetic variants from next-generation sequencing data. Nucleic Acids Res 38:e164

    Article  PubMed Central  PubMed  Google Scholar 

  • Watkins-chow DE, Pavan WJ (2008) Genomic copy number and expression variation within the C57BL/6J inbred mouse strain. Genome Res 18(1):60–66

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Weischenfeldt J, Symmons O, Spitz F, Korbel JO (2013) Phenotypic impact of genomic structural variation: insights from and for human disease. Nat Rev Genet 14:125–138

    Article  CAS  PubMed  Google Scholar 

  • Wollscheid B, Bausch-Fluck D, Henderson C, O’Brien R, Bibel M, Schiess R, Aebersold R, Watts JD (2009) Mass-spectrometric identification and relative quantification of N-linked cell surface glycoproteins. Nat Biotechnol 27(4):378–386

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Xu Y, Ehringer M, Yang F, Sikela JM (2001) Comparison of global brain gene expression profiles between inbred long-sleep and inbred short-sleep mice by high-density gene array hybridization. Alcohol Clin Exp Res 25:810–818

    Article  CAS  PubMed  Google Scholar 

  • Yokouchi H, Horii A, Emi M, Tomita N, Doi S, Ogawa M, Mori T, Matsubara K (1990) Cloning and characterization of a third type of human α-amylase gene, AMY2B. Gene 90:281–286

    Article  CAS  PubMed  Google Scholar 

  • Zhou Y, Jiang L, Rui L (2009) Identification of MUP1 as a regulator for glucose and lipid metabolism in mice. J Biol Chem 284(17):11152–11159

    Article  CAS  PubMed Central  PubMed  Google Scholar 

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Acknowledgments

NIAAA [2R01 AA011853 Genome variation underlying alcohol action (JMS), 3R01 AA011853-12S1 Genome variation underlying alcohol action (JMS), R01 AA016957 Genetic studies of alcohol tolerance (RAR)].

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Dumas, L., Dickens, C.M., Anderson, N. et al. Exome sequencing and arrayCGH detection of gene sequence and copy number variation between ILS and ISS mouse strains. Mamm Genome 25, 235–243 (2014). https://doi.org/10.1007/s00335-014-9502-6

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  • DOI: https://doi.org/10.1007/s00335-014-9502-6

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