Literature DB >> 22440695

Inbred mouse strains and genetic stability: a review.

J Casellas1.   

Abstract

Inbred mice were essential animal models for scientific research during the 20th century and will contribute decisive results in the current and next centuries. Far from becoming an obsolete research tool, the generation of new inbred strains is continuing and such strains are being used in many research fields. However, their genetic properties have been overlooked for decades, although recent research has revealed new insights into their genetic fragility and relative instability. Contrary to what we usually assume, inbred mice are far from being completely isogenic and both single-gene major mutations and polygenic mutational variability are continuously uploading into inbred populations as new sources of genetic polymorphisms. Note that several inbred strains from new major mutations are released every year, whereas small mutations can accumulate up to accounting for a significant percentage of the phenotypic variance (e.g. 4.5% in a recent study on C57BL/6J mice). Moreover, this genetic heterogeneity can be maintained for several generations by heterozygote selection and, if fixed instead of dropping off, genetic drift must be anticipated. The contribution of accidental genetic contamination in inbred strains must also be considered, although its incidence in current breeding stocks should be minimal, or even negligible. This review revisits several relevant topics for current inbred strains, discussing the latest cutting-edge results within the context of the genetic homogeneity and stability of laboratory mice. Inbred mice can no longer be considered as completely isogenic, but provide a remarkably homogeneous animal model with an inevitable moderate-to-low degree of genetic variability. Despite a certain degree of genetic heterogeneity becoming inescapable, inbred mice still provide very useful animal models with evident advantages when compared with outbred, that is, highly variable, populations.

Entities:  

Year:  2011        PMID: 22440695     DOI: 10.1017/S1751731110001667

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  31 in total

1.  Strained in Planning Your Mouse Background? Using the HPA Stress Axis as a Biological Readout for Backcrossing Strategies.

Authors:  Jennifer C Chan; Amanda B Houghton; Tracy L Bale
Journal:  Neuropsychopharmacology       Date:  2017-03-31       Impact factor: 7.853

2.  Early and repeated IgG1Fc-pCons chimera vaccinations (GX101) improve the outcome in SLE-prone mice.

Authors:  Francesca Ferrera; Daniela Fenoglio; Maurizio Cutolo; Giuseppe Balbi; Alessia Parodi; Florinda Battaglia; Francesca Kalli; Domenico Barone; Francesco Indiveri; Domenico Criscuolo; Gilberto Filaci
Journal:  Clin Exp Med       Date:  2014-07-25       Impact factor: 3.984

3.  Estimation of genetic variability level in inbred CF1 mouse lines selected for body weight.

Authors:  Mauricio Renny; Norma B Julio; Sandra F Bernardi; Cristina N Gardenal; María Inés Oyarzabal
Journal:  J Genet       Date:  2014-08       Impact factor: 1.166

4.  Replication Study: Biomechanical remodeling of the microenvironment by stromal caveolin-1 favors tumor invasion and metastasis.

Authors:  Mee Rie Sheen; Jennifer L Fields; Brian Northan; Judith Lacoste; Lay-Hong Ang; Steven Fiering
Journal:  Elife       Date:  2019-12-17       Impact factor: 8.140

5.  Dietary macronutrient content, age-specific mortality and lifespan.

Authors:  Alistair M Senior; Samantha M Solon-Biet; Victoria C Cogger; David G Le Couteur; Shinichi Nakagawa; David Raubenheimer; Stephen J Simpson
Journal:  Proc Biol Sci       Date:  2019-05-15       Impact factor: 5.349

6.  A mathematical model of intrahost pneumococcal pneumonia infection dynamics in murine strains.

Authors:  Ericka Mochan; David Swigon; G Bard Ermentrout; Sarah Lukens; Gilles Clermont
Journal:  J Theor Biol       Date:  2014-03-02       Impact factor: 2.691

7.  Replication Study: Intestinal inflammation targets cancer-inducing activity of the microbiota.

Authors:  Kathryn Eaton; Ali Pirani; Evan S Snitkin
Journal:  Elife       Date:  2018-10-08       Impact factor: 8.140

8.  Lifespan analysis of brain development, gene expression and behavioral phenotypes in the Ts1Cje, Ts65Dn and Dp(16)1/Yey mouse models of Down syndrome.

Authors:  Nadine M Aziz; Faycal Guedj; Jeroen L A Pennings; Jose Luis Olmos-Serrano; Ashley Siegel; Tarik F Haydar; Diana W Bianchi
Journal:  Dis Model Mech       Date:  2018-06-12       Impact factor: 5.758

9.  Ageing impacts phenotypic flexibility in an air-acclimated amphibious fish.

Authors:  Giulia S Rossi; Paige V Cochrane; Louise Tunnah; Patricia A Wright
Journal:  J Comp Physiol B       Date:  2019-09-13       Impact factor: 2.200

10.  Not all mice are equal: welfare implications of behavioural habituation profiles in four 129 mouse substrains.

Authors:  Hetty Boleij; Amber R Salomons; Mariska van Sprundel; Saskia S Arndt; Frauke Ohl
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

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