Literature DB >> 9215908

Genotype selection to rapidly breed congenic strains.

M M Weil1, B W Brown, D M Serachitopol.   

Abstract

Congenic strains can now be constructed guided by the transmission of DNA markers. This allows not only selection for transmission of a desired, donor-derived differential region but also selection against the transmission of unwanted donor origin genomic material. The additional selection capacity should allow congenic strains to be produced in fewer generations than is possible with random backcrosses. Here, we consider modifications of a standard backcross breeding scheme to produce congenic mice by the inclusion of genotype-based selective breeding strategies. Simulation is used to evaluate the consequences of each strategy on the number of chromosomes that contain unwanted, donor-derived genetic material and the average length of this unwanted donor DNA for each backcross generation. Our prototypic strategy was to choose a single mouse to sire each generation using criteria designed to select against the transmission of chromosomes, other than the one containing the replacement genomic region, that contain any donor origin sequence at all. This chromosome elimination strategy resulted in an average of 16.4 chromosomes free of donor DNA in mice of the third backcross (N3) generation. A strategy based solely on positive selection for the replacement region required six backcross generations to achieve the same results.

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Year:  1997        PMID: 9215908      PMCID: PMC1208035     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  6 in total

1.  A genetic map of the mouse suitable for typing intraspecific crosses.

Authors:  W Dietrich; H Katz; S E Lincoln; H S Shin; J Friedman; N C Dracopoli; E S Lander
Journal:  Genetics       Date:  1992-06       Impact factor: 4.562

2.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

Review 3.  Genetic dissection of complex traits.

Authors:  E S Lander; N J Schork
Journal:  Science       Date:  1994-09-30       Impact factor: 47.728

4.  Congenic strains reveal effects of the epilepsy quantitative trait locus, El2, separate from other El loci.

Authors:  W N Frankel; E W Johnson; C M Lutz
Journal:  Mamm Genome       Date:  1995-12       Impact factor: 2.957

5.  Production of congenic mouse strains carrying NOD-derived diabetogenic genetic intervals: an approach for the genetic dissection of complex traits.

Authors:  M A Yui; K Muralidharan; B Moreno-Altamirano; G Perrin; K Chestnut; E K Wakeland
Journal:  Mamm Genome       Date:  1996-05       Impact factor: 2.957

6.  Production of congenic mouse strains carrying genomic intervals containing SLE-susceptibility genes derived from the SLE-prone NZM2410 strain.

Authors:  L Morel; Y Yu; K R Blenman; R A Caldwell; E K Wakeland
Journal:  Mamm Genome       Date:  1996-05       Impact factor: 2.957

  6 in total
  5 in total

Review 1.  The relevance of individual genetic background and its role in animal models of epilepsy.

Authors:  P Elyse Schauwecker
Journal:  Epilepsy Res       Date:  2011-10-15       Impact factor: 3.045

Review 2.  Selection in backcross programmes.

Authors:  Frédéric Hospital
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

3.  Murine Prkdc polymorphisms impact DNA-PKcs function.

Authors:  Kristin M Fabre; Lila Ramaiah; Ryan C Dregalla; Christian Desaintes; Michael M Weil; Susan M Bailey; Robert L Ullrich
Journal:  Radiat Res       Date:  2011-01-25       Impact factor: 2.841

Review 4.  Mind the gap: analysis of marker-assisted breeding strategies for inbred mouse strains.

Authors:  Nicola J Armstrong; Thomas C Brodnicki; Terence P Speed
Journal:  Mamm Genome       Date:  2006-04-04       Impact factor: 2.957

5.  Strain background determines lymphoma incidence in Atm knockout mice.

Authors:  Paula C Genik; Helle Bielefeldt-Ohmann; Xianan Liu; Michael D Story; Lianghao Ding; Jamie M Bush; Christina M Fallgren; Michael M Weil
Journal:  Neoplasia       Date:  2014-02       Impact factor: 5.715

  5 in total

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