ABB  Vol.4 No.6 A , June 2013
Mice selected for large and small brain weight: The preservation of trait differences after the selection was discontinued
ABSTRACT

The selection for large and small relative brain weight (RBW) in mice, started in 1999, resulted in stable significant differences in the trait (16%). The selection was discontinued at F22, and both lines (Large Brain, LB and Small brain, SB) were maintained by random mating. In F25-F28 the significant differences in RBW were still present in spite of the lack of selection. In F28 ethanol injections (2.4 mg/kg, 12% ethanol, i.p.) were performed to animals of both lines. The ethanol effects were more intense in SB, than in LB line. Mice were tested in elevated and closed plus-mazes and in slip-funnel tests. Control LB mice explored new environment more actively and were less affected by stressful environment than SBs. SB ethanol mice were less anxious in elevated plus maze, initiated closed maze exploration earlier, moved more vividly and demonstrated lower anxiety level in elevated plus maze than saline injected mice, while changes in these behaviors after ethanol were not so clear in LB mice, although their locomotion level increased.


Cite this paper
Perepelkina, O. , Golibrodo, V. , Lilp, I. and Poletaeva, I. (2013) Mice selected for large and small brain weight: The preservation of trait differences after the selection was discontinued. Advances in Bioscience and Biotechnology, 4, 1-8. doi: 10.4236/abb.2013.46A001.
References
[1]   Kruska, D.C. (1975) Comparative quantitative study on brains of wild and laboratory rats. I. Comparison of volume of total brain and classical brain parts. Journal für Hirnforschung, 16, 469-483.

[2]   Kruska, D.C. (2005) On the evolutionary significance of encephalization in some eutherian mammals: Effects of adaptive radiation, domestication, and feralization. Brain Behavior and Evolution, 65, 73-108. doi:10.1159/000082979

[3]   Rensch, B. (1956) Increase in learning capability with increase of brain size. The American Naturalist, 7, 81-96.

[4]   Henderson, N.D. (1973) Brain weight changes resulting from enriched rearing conditions. A diallel analysis. Develop. Psychobiology, 6, 367-376. doi:10.1002/dev.420060410

[5]   Markina, N.V., Salimov, R.M. and Poletaeva, I.I. (2001) Behavioral screening of two mouse lines selected for different brain weight. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 25, 1083-1110. doi:10.1016/S0278-5846(01)00169-5

[6]   Rosenzweig, M.R. and Bennet, E.L. (1996) Psychobiology of plasticity: Effects of training and experience on brain and behaviour. Behavioural Brain Research, 78, 57-65. doi:10.1016/0166-4328(95)00216-2

[7]   Wahlsten, D.. Bulman-Fleming, B., Wainwright, P.E., Levesque, S., Krem-Pulec, L., Bulman-Fleming, B. and McCutcheon, D. (1993) Effects of environmental enrichment on cortical depth and Morris-maze performance in B6D2F2 mice exposed to ethanol. Neurotoxicology and Teratology, 15, 11-20. doi:10.1016/0892-0362(93)90040-U

[8]   Popova, N.V., Kessarev, V.S., Poletaeva, I.I. and Romanova, L.G. (1983) Cortical cytoarchitectonics in mice. selected for large and small brain weight. Zhurnal Vyssheǐ Nervnoǐ Deyatelnosti, 33, 576-582.

[9]   Fuller, J.L. (1979) Fuller BWS lines: History and results. In: Hahn, M.E., Jensen, C. and Dudek, B.C., Eds., Development and Evolution of Brain Size, Academic Press, New York, 518-539. doi:10.1016/B978-0-12-314650-2.50016-1

[10]   Pereplkina, O.V., Markina, N.V. and Poletaeva, I.I. (2006) The ability to extrapolate the direction of movement in mice selected for large and small brain weight: The influence of environmental enrichment. Zhurnal Vyssheǐ Nervnoǐ Deyatelnosti, 56, 282-286.

[11]   Poletaeva, I.I., Popova, N.V. and Romanova, L.G. (1993) Genetic aspects of animal reasoning. Behavior Genetics, 23, 467-475. doi:10.1007/BF01067982

[12]   Hewitt, J.K., Hahn, M.E., Karkowski, L.M. (1987) Genetic selection disrupts stability of mouse brain weight development. Brain Research, 417, 225-231. doi:10.1016/0006-8993(87)90446-X

[13]   Matsumoto, M., Straub, R.E., Marenco, S., Nicodemus, K.K. and Matsumoto, S., et al. (2008) The evolutionarily conserved G protein-coupled receptor SREB2/GPR85 influences brain size, behavior, and vulnerability to schizophrenia. PNAS, 105, 6133-6138. doi:10.1073/pnas.0710717105

[14]   Roderick, T.H., Wimer, R.E., Wimer, C.C. and Schwartzkroin, B. (1973) Genetic and phenotypic variation in weight of brain and spinal cord between inbred strains of mice. Brain Research, 64, 345-353. doi:10.1016/0006-8993(73)90188-1

[15]   Wahlsten, D., Bachmanov, A., Finn, D.A. and Crabbe, J.C. (2006) Stability of inbred mouse strain differences in behavior and brain size between laboratories and across decades. PNAS, 103, 16364-16369. doi:10.1073/pnas.0605342103

[16]   Anderson, B. (1993) Evidence from the rat for a general factor that underlies cognitive performance and that relates to brain size and intelligence? Neuroscience Letters, 153, 98-102. doi:10.1016/0304-3940(93)90086-Z

[17]   Markina, N.V., Popova, N.V., Salimov, R.M., Salimova, N.B., Savchuk, O.V. and Poletaeva, I.I. (1999) The comparison of levels of anxiety and stress response in mice selected for low and high brain weight. Zhurnal Vyssheǐ Nervnoǐ Deyatelnosti, 49, 789-798.

[18]   Popova, N.V., Poletaeva, I.I. and Romanova, L.G. (1981) Ability for learning and extrapolation in mice selected for different brain weight. Zhurnal Vyssheǐ Nervnoǐ Deyatelnosti, 31, 550-555.

[19]   Popova, N.V., Poletaeva, I.I. and Astaurova, N.B. (1997) Selection of mice on weight of a brain. Russian Journal of Genetics, 33, 413-416.

[20]   Markina, N.V., Popova, N.V. and Poletaeva, I.I. (1999) Interstrain differences in the behavior of mice selected for greater and lesser brain mass. Zhurnal Vyssheǐ Nervnoǐ Deyatelnosti, 49, 59-67.

[21]   Popova, N.V., Kessarev, V.S., Poletaeva. I.I. and Romanova, L.G. (1983) Cortical cytoarchitectonics in mice. selected for large and small brain weight. Zhurnal Vyssheǐ Nervnoǐ Deyatelnosti, 33, 576-582.

[22]   Elias, M.F. (1969) Differences in spatial discrimination reversal learning for mice genetically selected for high brain weight and unselected control. Perceptual and Motor Skills, 28, 707-712. doi:10.2466/pms.1969.28.3.707

[23]   Gonsiorek, J.C., Donovick, P.J., Burright, R.G. and Fuller, J.L. (1974) Aggression in low and high brain weight mice following septal lesions. Physiology & Behavior, 12, 813818. doi:10.1016/0031-9384(74)90018-3

[24]   Popova, N.V. and Poletaeva, I.I. (1983) Ability to solve extrapolation problems in mice selected for different brain weights. Zhurnal Vyssheǐ Nervnoǐ Deyatelnosti, 33, 370-372.

[25]   Popova, N.V. and Poletaeva, I.I. (1985) Avoidance conditioning in mice with different brain weight. Zhurnal Vyssheǐ Nervnoǐ Deyatelnosti, 35, 170-172.

[26]   Salimov, R.M., Markina, N.V., Perepelkina, O.V., Maǐskiǐ, A.I. and Poletaeva, I.I. (2003) Rapid tolerance to ethanol and high voluntary alcohol consumption in mice selected for brain weight. Zhurnal Vyssheǐ Nervnoǐ Deyatelnosti, 53, 100-106.

[27]   Salimov, R.M. (1999) Different behavioral patterns related to alcohol use in rodents: A factor analysis. Alcohol, 17, 157-162. doi:10.1016/S0741-8329(98)00049-4

[28]   Salimov, R.M., McBride, W.J., McKenzie D.L., Lumeng, L. and Li, T.-K. (1996) Effects of ethanol consumption by adolescent alcohol-preferring P rats on subsequent behavioral performance in the cross-maze and slip funnel tests. Alcohol, 13, 297-300. doi:10.1016/0741-8329(95)02060-8

[29]   Williams, R.W. Measuring brain weight (Program). http://www.nervenet.org/iscope/mbl_10.html

[30]   Williams, R.W., Strom, R.C. and Goldowitz, D. (1998) Natural variation in neuron number in mice is linked to a major quantitative trait locus on Chr 11. The Journal of Neuroscience, 18, 138-146.

[31]   Hager, R., Lu. L., Rosen, G.D. and Williams, R.W. (2012) Genetic architecture supports mosaic brain evolution and independent brain-body size regulation. Nature Communications, 3, 1079. doi:10.1038/ncomms2086

[32]   Kruska, D.C. (1987) How fast can total brain size change in mammals? Journal für Hirnforschung, 28, 59-70.

[33]   Rehkämper, G., Frahm, H.D. and Cnotka, J. (2008) Mosaic evolution and adaptive brain component alteration under domestication seen on the background of evolutionary theory. Brain, Behavior and Evolution, 71, 115126. doi:10.1159/000111458

[34]   Rährs, M. and Ebinger, P. (1999) Wild is not really wild: brain weight of wild domestic mammals. Berliner und Münchener Tierärztliche Wochenschrift, 112, 234-238.

[35]   Augustsson, H., Dahlborn, K. and Meyerson, B.J. (2005) Exploration and risk assessment in female wild house mice (Mus musculus musculus) and two laboratory strains. Physiology & Behavior, 84, 265-277. doi:10.1016/j.physbeh.2004.12.002

[36]   Driscoll, C.A., Macdonald, D.W. and O’Brien, S.J. (2009) From wild animals to domestic pets. An evolutionary view of domestication. PNAS, 106, 9971-9978. doi:10.1073/pnas.0901586106

[37]   Fonio, E., Benjamini, Y., Sakov, I. and Golani, A. (2006) Wild mouse open field behavior is embedded within the multidimensional data space spanned by laboratory inbred strains. Genes, Brain and Behavior, 5, 380-388. doi:10.1111/j.1601-183X.2005.00170.x

[38]   Lewejohann, L., Pickel, T., Sachser, N. and Kaiser, S. (2010) Wild genius—Domestic fool? Spatial learning abilities of wild and domestic guinea pigs. Frontiers in Zoology, 7, 9. doi:10.1186/1742-9994-7-9

[39]   Stuermer, I.W. and Wetzel, W. (2006) Early experience and domestication affect auditory discrimination learning, open field behaviour and brain size in wild Mongolian gerbils and domesticated laboratory gerbils (Meriones unguiculatus, forma domestica). Behavioural Brain Research, 173, 11-21. doi:10.1016/j.bbr.2006.05.025

[40]   Peirce, J.L., Chesler. E.J., Williams, R.W. and Lu, L. (2003) Genetic architecture of the mouse hippocampus: Identification of gene loci with selective regional effects. Genes. Genes, Brain and Behavior, 2, 238-252. doi:10.1034/j.1601-183X.2003.00030.x

[41]   Ziebarth, J.D., Cook, M.N., Wang, X., Williams, R.W., Lu, L, and Cui, Y. (2012) Treatment-and population-dependent activity patterns of behavioral and expression QTLs. PLoS One, 7, e31805. doi:10.1371/journal.pone.0031805

 
 
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