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Statistical Parameters in Behavioral Tasks and Implications for Sample Size of C57BL/6J:129S6/SvEvTac Mixed Strain Mice

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Abstract

Most mixed strain progeny from gene-knockout experiments typically originate from C57BL/6J and one of the 129 substrains, frequently 129S6/SvEvTac. The results of this behavioral survey suggest that C57BL/6J:129S6/SvEvTac mixed strain mice are amenable to behavioral testing. The variability in behavioral tasks for subjects arising from this mixed strain genetic background does not preclude screening with a battery of behavioral tests. With clues provided by a screen of mixed strain subjects, follow-up analyses with isogenic, congenic, or F1 hybrid animals may be targeted to specific behavioral themes.

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References

  • Altman DG and Bland JM (1995) Statistics notes: the normal distribution. BMJ 310: 298.

    Google Scholar 

  • Altman DG and Bland JM (1996) Detecting skewness from summary information. BMJ 313: 1200.

    Google Scholar 

  • Anonymous (1997) Mutant mice and neuroscience: recommendations concerning genetic background. Banbury conference on genetic background in mice. Neuron 19: 755–759.

  • Bland JM and Altman DG (1996) Transforming data. BMJ 312: 770.

    Google Scholar 

  • Cohen J (1988) Statistical Power Analysis for the Behavioral Sciences, Academic Press, New York.

    Google Scholar 

  • Cohen J (1992) A power primer. Psychol Bull 112: 155–159.

    Google Scholar 

  • Crabbe JC, Wahlsten D and Dudek BC (1999) Genetics of mouse behavior: interactions with laboratory environment. Science 284: 1670–1672.

    Google Scholar 

  • Crawley JN (1996) Unusual behavioral phenotypes of inbred mouse strains. Trends Neurosci 19: 181–182.

    Google Scholar 

  • Crawley JN, Belknap JK, Collins A, Crabbe JC, Frankel W, Henderson N et al. (1997) Behavioral phenotypes of inbred mouse strains: implications and recommendations for molecular studies. Psychopharmacology 132: 107–124.

    Google Scholar 

  • Crawley JN and Paylor R (1997) A proposed test battery and constellations of specific behavioral paradigms to investigate the behavioral phenotypes of transgenic and knockout mice. Horm Behav 31: 197–211.

    Google Scholar 

  • Crusio WE (1996) Gene-targeting studies: new methods, old problems Trends Neurosci 19: 186–187.

    Google Scholar 

  • Denenberg VH (1984) Some statistical and experimental considerations in the use of the analysis-of-variance procedure. Am J Physiol 246: R403–408.

    Google Scholar 

  • Denenberg VH (1996) A primer for behavioral research. Ment Retard Dev Disab Res Rev 2: 209–215.

    Google Scholar 

  • Estill SJ and Garcia JA (2000) A marker assisted selection protocol (MASP) to generate C57BL/6J or 129S6/SvEvTac speed congenic or consomic strains. Genesis 28: 164–166.

    Google Scholar 

  • Florey CD (1993) Sample size for beginners. BMJ 306: 1181–1184.

    Google Scholar 

  • Fordyce DE and Wehner JM (1993) Effects of aging on spatial learning and hippocampal protein kinase C in mice. Neurobiol Aging 14: 309–317.

    Google Scholar 

  • Garcia JA, Zhang D, Estill SJ, Michnoff C, Rutter J, Reick M et al. (2000) Impaired cued and contextual memory in NPAS2-deficient mice. Science 288: 2226–2230.

    Google Scholar 

  • Gerlai R (1996) Gene-targeting studies of mammalian behavior: is it the mutation or the background genotype? Trends Neurosci 19: 177–181.

    Google Scholar 

  • Hyde JS (1973) Genetic homeostasis and behavior: analysis, data, and theory. Behav Genet 3: 233–245.

    Google Scholar 

  • Lathe R (1996) Mice, gene targeting and behaviour: more than just genetic background. Trends Neurosci 19: 183–186.

    Google Scholar 

  • Logue SF, Owen EH, Rasmussen DL and Wehner JM (1997) Assessment of locomotor activity, acoustic and tactile startle, and prepulse inhibition of startle in inbred mouse strains and F1 hybrids: implications of genetic background for single gene and quantitative trait loci analyses. Neuroscience 80: 1075–1086.

    Google Scholar 

  • Markel P, Shu P, Ebeling C, Carlson GA, Nagle DL, Smutko JS et al. (1997) Theoretical and empirical issues for marker-assisted breeding of congenic mouse strains. Nature Genet 17: 280–284.

    Google Scholar 

  • Nelson RJ and Young KA (1998) Behavior in mice with targeted disruption of single genes. Neurosci Biobehav Rev 22: 453–462.

    Google Scholar 

  • Owen EH, Logue SF, Rasmussen DL and Wehner JM (1997) Assessment of learning by the Morris water task and fear conditioning in inbred mouse strains and F1 hybrids: implications of genetic background for single gene mutations and quantitative trait loci analyses. Neuroscience 80: 1087–1099.

    Google Scholar 

  • Palmer AR and Strobeck C (1986) Fluctuating asymmetry: measurement, analysis, patterns. Annu Rev Ecol Syst 17: 391–421.

    Google Scholar 

  • Paylor R and Crawley JN (1997) Inbred strain differences in prepulse inhibition of the mouse startle response. Psychopharmacology 132: 169–180.

    Google Scholar 

  • Roubertoux PL, Nosten-Bertrand M and Carlier M (1990) Additive and interactive effects between genotype and maternal environments, concept and facts. Adv Stud Behav 19: 205–247.

    Google Scholar 

  • Roubertoux PL, Nosten-Betrand M, Cohen-Salmon C and l'Hotellier L (1992) Behavioral Development: A Tool for Genetic Analysis in Mice. Elsevier Science Publishers.

  • Upchurch M, Pounder JI and Wehner JM (1988) Heterosis and resistance to DFP effects on spatial learning in C57BL X DBA hybrids. Brain Res Bull 21: 499–503.

    Google Scholar 

  • Upchurch M and Wehner JM (1989) Inheritance of spatial learning ability in inbred mice: a classical genetic analysis. Behav Neurosci 103: 1251–1258.

    Google Scholar 

  • Wahlsten D (1991) Sample size to detect a planned contrast and a one degree-of-freedom interaction effect. Psychol Bull 39: 47.

    Google Scholar 

  • Wahlsten D (1999) Planning genetic experiments: power and sample size. In: Jones BC and Mormede P (eds) Neurobehavioral Genetics: Methods and Applications. CRC Press, Boca Raton, pp. 31–42.

    Google Scholar 

  • Wakeland E, Morel L, Achey K, Yui M and Longmate J (1997) Speed congenics: a classic technique in the fast lane (relatively speaking). Immunol Today 18: 472–477.

    Google Scholar 

  • Wehner JM, Bowers BJ and Paylor R (1996) The use of null mutant mice to study complex learning and memory processes. Behav Genet 26: 301–312.

    Google Scholar 

  • Wehner JM and Silva AS (1996) Importance of strain differences in evaluations of learning and memory processes mutants, Ment Retar Dev Disab Res Rev 2: 243–248.

    Google Scholar 

  • Wolfer DP, Muller U, Stagliar M and Lipp HP (1997) Assessing the effects of the 129/Sv genetic background on swimming navigation learning in transgenic mutants: a study using mice with a modified beta-amyloid precursor protein gene. Brain Res 771: 1–13.

    Google Scholar 

  • Zhou YD, Barnard M, Tian H, Li X, Ring HZ, Francke U et al. (1997) Molecular characterization of two mammalian bHLHPAS domain proteins selectively expressed in the central nervous system. Proc Natl Acad Sci USA 94: 713–718.

    Google Scholar 

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Estill, S.J., Fay, K. & Garcia, J.A. Statistical Parameters in Behavioral Tasks and Implications for Sample Size of C57BL/6J:129S6/SvEvTac Mixed Strain Mice. Transgenic Res 10, 157–175 (2001). https://doi.org/10.1023/A:1008955016170

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