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QTL Analysis of Multiple Behavioral Measures of Anxiety in Mice

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Abstract

In a test battery consisting of an open-field arena, a light-dark box, a mirror-chamber box, an elevated plus maze, and an elevated square maze, 1,671 mice were tested, generating over 100 putative measures of anxiety in rodents. Quantitative trait loci (QTL) analysis was carried out on all measures, plus composite measures and phenotypic factor scores. Significant LOD scores were found for QTL on 17 chromosomes, with large and consistent QTL behavioral effects on chromosomes 1, 4, 7, 8, 14, 15, l8, and X. QTL on chromosomes 4 and 8 largely influence locomotor activity in both home cages and novel environments, whereas QTL on chromosomes 1, 15, and 18 influence anxiety-related behaviors. Five genetically separable, cross-test dimensions of anxiety could be identified: (i) the suppression of locomotor activity in low to moderately anxiogenic regions of the tests; (ii) a shift toward proportionally less time and activity spent in high-anxiogenic test areas; (iii) the suppression of rearing behavior; (iv) increased latency to enter novel areas; (v) increased autonomic responses, as assessed by defecation and urination. Patterns of QTL influence on cross-test composite scores were distinctive. For example, the QTL on chromosome 1 strongly influenced safe-area locomotor activity (LOD = 35) and autonomic responses (LOD = 16), whereas the QTL on chromosome 15 influenced the proportion of activity in high-anxiogenic areas (LOD = 16), latency to enter novel areas (LOD = 36) and rearing behavior (LOD = 57). Phenotypic factor analysis identified factors heavily loaded on single tests, rather than cross-test factors. The use of factor analysis or within-test principal components for data reduction before genetic analysis was less satisfactory than using genetic dissection methods on the original measures and logically derived composites.

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References

  • Aguilar, R., Gil, L., Flint, J., Gray, J. A., Dawson, G. R., Driscoll, P., Gimenez-Llort, L., Escorihuela, R. M., Fernández-Teruel, A., and Tobeña, A. (2002). Learned fear, emotional reactivity and fear of heights: A factor analytic map from a large F(2) intercross of Roman rat strains. Brain Res. Bull. 57:17-26.

    Google Scholar 

  • Barlow, D. H. (2000). Unraveling the mysteries of anxiety and its disorders from the perspective of emotion theory. Am. Psychol. 55:1247-1263.

    Google Scholar 

  • Belzung, C. (2001). Rodent models of anxiety-like behaviors: Are they predictive for compounds acting via non-benzodiazepine mechanisms? Curr. Opin. Invest. Drugs 2:1108-1111.

    Google Scholar 

  • Belzung, C., and Le Pape, G. (1994). Comparison of different behavioral test situations used in psychopharmacology for measurement of anxiety. Physiol. Behav. 56:623-628.

    Google Scholar 

  • Cattell, R. B. (1966). The meaning and strategic use of factor analysis. In R. B. Cattell (ed.), Handbook of Multivariate Experimental Psychology. Chicago: Rand McNally.

    Google Scholar 

  • Collins, A. C., Miner, L. L., and Marks, M. J. (1988). Genetic influences on acute responses to nicotine and nicotine tolerance in the mouse. Pharmacol. Biochem. Behav. 30:269-278.

    Google Scholar 

  • Collins, R. L. (1964). Inheritance of avoidance conditioning in mice: A diallele study. Science 143:1188-1190.

    Google Scholar 

  • Costall, B., Jones, B. J., Kelly, M. E., Naylor, R. J., and Tomkins, D. M. (1989). Exploration of mice in a black and white test box: Validation as a model of anxiety. Pharmacol. Biochem. Behav. 32:777-785.

    Google Scholar 

  • Crawley, J. N. (1985). Exploratory behavior models of anxiety in mice. Neurosci. Biobehav. Rev. 9:37-44.

    Google Scholar 

  • Darvasi, A., and Soller, M. (1997). A simple method to calculate resolving power and confidence interval of QTL map location. Behav. Genet. 27:125-132.

    Google Scholar 

  • DeFries, J. C. (1969). Pleiotropic effects of albinism on open field behaviour in mice. Nature 221:65-66.

    Google Scholar 

  • DeFries, J. C., Gervais, M. C., and Thomas, E. A. (1978). Response to 30 generations of selection for open field activity in laboratory mice. Behav. Genet. 8:3-13.

    Google Scholar 

  • DeFries, J. C., and Hegman, J. P. (1970). Genetic analysis of openfield behavior. In G. Lindzey and D. D. Thiessen (eds.), Contributions to Behavior Genetic Analysis:The Mouse as a Prototype. New York: Appleton-Century-Crofts.

    Google Scholar 

  • DeFries, J. C., Hegmann, J. P., and Weir, M. W. (1966). Open-field behavior in mice: Evidence for a major gene effect mediated by the visual system. Science 154:1577-1579.

    Google Scholar 

  • Fernandes, C., González, M. I., Wilson, C. A., and File, S. E. (1999). Factor analysis shows that female rat behavior is characterised primarily by activity, male rats are driven by sex and anxiety. Pharmacol. Biochem. Behav. 64:731-738.

    Google Scholar 

  • Flaherty, C. F., Greenwood, A., Martin, J., and Leszczuk, M. (1998). Relationship of negative contrast to animal models of fear and anxiety. Anim. Learn. Behav. 26:397-407.

    Google Scholar 

  • Flint, J. (2003). The analysis of quantitative trait loci that influence animal behaviour. J. Neurobiol. 54:46-77.

    Google Scholar 

  • Flint, J., Corley, R., DeFries, J. C., Fulker, D. W., Gray, J. A., Miller, S., and Collins, A. C. (1995). A simple genetic basis for a complex psychological trait in laboratory mice. Science 269:1432-1435.

    Google Scholar 

  • Gershenfeld, H. K., Neumann, P. E., Mathis, C., Crawley, J. N., Li, X., and Paul, S. M. (1997). Mapping quantitative trait loci for open-field behavior in mice. Behav. Genet. 27:201-210.

    Google Scholar 

  • Gershenfeld, H. K., and Paul, S. M. (1997). Mapping quantitative trait loci for fear-like behaviors in mice. Genomics 46:1-8.

    Google Scholar 

  • Gray, J. A. (1987). The Psychology of Fear and Stress. Cambridge: Cambridge University Press.

    Google Scholar 

  • Gray, J. A., and McNaughton, N. (2000). The Neuropsychology of Anxiety. Oxford: OUP.

    Google Scholar 

  • Hegmann, J. P., and DeFries, J. C. (1968). Open-field behavior in mice: Genetic analysis of repeated measures. Psychon. Sci. 13:27-28.

    Google Scholar 

  • Henderson, N. (1979). Genetic correlations between brain size and some behaviors of housemice. In M. Hahn, C. Jensen, and B. Dudek (eds.), Development and Evolution of Brain Size. New York: Academic Press.

    Google Scholar 

  • Henderson, N. D. (1989). Interpreting studies that compare high-and low-selected lines on new characters. Behav. Genet. 19:473-502.

    Google Scholar 

  • Hogg, S. (1996). A review of the validity and variability of the elevated plus maze as an animal model of anxiety. Pharmacol. Biochem. Behav. 54:21-30.

    Google Scholar 

  • Knott, S. A., and Haley, C. S. (2000). Multitrait least squares for quantitative trait loci detection. Genet. 156:899-911.

    Google Scholar 

  • Lander, E., and Kruglyak, L. (1995). Genetic dissection of complex traits: Guidelines for interpreting and reporting linkage results. Nat. Genet. 11:241-247.

    Google Scholar 

  • Landgraf, R., and Wigger, A. (2002). High vs. low anxiety-related behavior rats: An animal model of extremes in trait anxiety. Behav. Genet. 32:301-314.

    Google Scholar 

  • Lincoln, S., Daly, M., and Lander, E. (1992). Mapping Genes Controlling Quantitative Traits with MAPMAKER/QTL 1.1. Cambridge, MA: Whitehead Institute Technical Report.

  • Lord, F. (1980). Applications of Item Response Theory to Practical Testing Problems. Hillsdale, N.J.: Erlbaum.

    Google Scholar 

  • Nadeau, J. H., and Frankel, W. N. (2000). The roads from phenotypic variation to gene discovery: Mutagenesis versus QTLs. Nat. Genet. 25:381-384.

    Google Scholar 

  • Pellow, S., Chopin, P., File, S., and Briley, M. (1985). Validation of open: Closed arms entries in an elevated plus maze as a measure of anxiety in the rat. J. Neurosci. Methods 14:149-167.

    Google Scholar 

  • Preacher, K., and MacCallum, R. (2002). Exploratory factor analysis in behavior genetics research: Factor recovery with small sample sizes. Behav. Genet. 32:153-161.

    Google Scholar 

  • Ramos, A., and Mormede, P. (1998). Stress and emotionality: A multidimensional and genetic approach. Neurosci. Biobehav. Rev. 22:33-57.

    Google Scholar 

  • Rodgers, R. J. (1997). Animal models of 'anxiety': Where next? Behav. Pharmacol. 8:477-496.

    Google Scholar 

  • Rodgers, R. J., and Cole, J. C. (1994). The elevated plus maze: Pharmacology, methodology and ethology. In S. J. Cooper (ed.), Ethology and Psychopharmacology. Chichester: Wiley.

    Google Scholar 

  • Royce, J. R., Poley, W., and Yeudall, L. T. (1973). Behavior-genetic analysis of mouse emotionality. I. Factor analysis. J. Comp. Physiol. Psychol. 83:36-47.

    Google Scholar 

  • Shepherd, J. K., Grewal, S. S., Fletcher, A., Bill, D. J., and Dourish, C. T. (1994). Behavioural and pharmacological characterisation of the elevated “zero-maze” as an animal model of anxiety. Psychopharmacology (Berl) 116:56-64.

    Google Scholar 

  • Stoll, M., Cowley, A. W., Jr., Tonellato, P. J., Greene, A. S., Kaldunski, M. L., Roman, R. J., Dumas, P., Schork, N. J., Wang, Z., and Jacob, H. J. (2001). A genomic-systems biology map for cardiovascular function. Science 294: 1723-1726.

    Google Scholar 

  • Toubas, P. L., Abla, K. A., Cao, W., Logan, L. G., and Seale, T. W. (1990). Latency to enter a mirrored chamber: A novel behavioral assay for anxiolytic agents. Pharmacol. Biochem. Behav. 35:121-126.

    Google Scholar 

  • Trullas, R., and Skolnick, P. (1993). Differences in fear motivated behaviors among inbred mouse strains. Psychopharmacology 111:323-331.

    Google Scholar 

  • Turri, M. G., Datta, S. R., DeFries, J., Henderson, N. D., and Flint, J. (2001a). QTL analysis identifies multiple behavioral dimensions in ethological tests of anxiety in laboratory mice. Curr. Biol. 11:725-734.

    Google Scholar 

  • Turri, M. G., Henderson, N. D., DeFries, J. C., and Flint, J. (2001b). Quantitative trait locus mapping in laboratory mice derived from a replicated selection experiment for open-field activity. Genetics 158:1217-1226.

    Google Scholar 

  • Van Abeelen, J. H., van der Kroon, P. H., and Bekkers, M. F. (1973). Mice selected for rearing behavior: Some physiological variables. Behav. Genet. 3:85-90.

    Google Scholar 

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Henderson, N.D., Turri, M.G., DeFries, J.C. et al. QTL Analysis of Multiple Behavioral Measures of Anxiety in Mice. Behav Genet 34, 267–293 (2004). https://doi.org/10.1023/B:BEGE.0000017872.25069.44

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  • DOI: https://doi.org/10.1023/B:BEGE.0000017872.25069.44

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