Literature DB >> 1132681

Population size and selection intensity effects on long-term selection response in mice.

E J Eisen.   

Abstract

Long-term response to within full-sib family selection for increased postweaning gain was evaluated in lines having different effective population sized (Ne) and selection intensities (i). Line designations were I4(4), I8(2), I16(2), M4(4), M8(2) and M16(2), where I and M indicate selection of the top 50% and 25%, respectively; 4, 8 and 16 represent the number of parental pairs per replicate and number of replicates is given in parentheses. Realized within full-sib family heritabilities (hR-2) in the first phase of selection (0-14 generations) were larger in 16-pair lines than in 4- and 8-pair lines. In the second phase of selection (greater than 14 generations), hR-2 declined significantly (P smaller than .01) in all lines, and only the I16 and M16 lines had hR-2 values significantly (P smaller than .01) greater than zero. Realized genetic correlations involving number born, 12-day litter weight, weaning weight and six-week weight tended to decline in the second phase of selection. The I16, M16 and control (C16) replicates were crossed in all combinations at generation 14. Crosses were then selected within litters for high postweaning gain. The hR-2 values in the crossbred lines were all larger than those in the second selection phase for M16-1. M16-2 and I16-1, but not for I16-2. Within each Ne level, total response was significantly (P smaller than .01) less for I lines compared with M lines. Total response increased as Ne increased, within each level of i. Relatively small differences in realized i values among Ne lines could not account for this result. The difference in total response among the Ne lines at a given selection intensity may be due to inbreeding depression and a combination of interactions involving "drift" and selection. By crossing replicates of the M lines with the C16 control, the effects of inbreeding depression were removed. Inbreeding depression and genetic drift, as defined herein, were equally important in accounting for differences among Ne lines in total response.

Entities:  

Mesh:

Year:  1975        PMID: 1132681      PMCID: PMC1213274     

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


  8 in total

1.  Genetic drift and inbreeding depression measured from control populations of mice.

Authors:  E J Eisen; J P Hanrahan
Journal:  Can J Genet Cytol       Date:  1974-03

2.  Effects of population size and selection intensity on correlated responses to selection for postweaning gain in mice.

Authors:  E J Eisen; J P Hanrahan; J E Legates
Journal:  Genetics       Date:  1973-05       Impact factor: 4.562

3.  An experimental evaluation of genetic correlation.

Authors:  J J Rutledge; E J Eisen; J E Legates
Journal:  Genetics       Date:  1973-12       Impact factor: 4.562

4.  Estimation of realised heritabilities from selection experiments. II. Selection in one direction.

Authors:  W G Hill
Journal:  Biometrics       Date:  1972-09       Impact factor: 2.571

5.  Long-term selection response for 12-day litter weight in mice.

Authors:  E J Eisen
Journal:  Genetics       Date:  1972-09       Impact factor: 4.562

6.  Long term selection for body weight in mice.

Authors:  S P Wilson; H D Goodale; W H Kyle; E F Godfrey
Journal:  J Hered       Date:  1971 Jul-Aug       Impact factor: 2.645

7.  The effects of population size and selection intesnity in selection for a quantitative character in Drosophila. II. Long-term response to selection.

Authors:  L P Jones; R Frankham; J S Barker
Journal:  Genet Res       Date:  1968-12       Impact factor: 1.588

8.  The effect of linkage on limits to artificial selection.

Authors:  W G Hill; A Robertson
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

  8 in total
  14 in total

1.  Increased selection response in larger populations. I. Selection for wing-tip height in Drosophila melanogaster at three population sizes.

Authors:  K E Weber
Journal:  Genetics       Date:  1990-07       Impact factor: 4.562

2.  Genomic mapping of direct and correlated responses to long-term selection for rapid growth rate in mice.

Authors:  Mark F Allan; Eugene J Eisen; Daniel Pomp
Journal:  Genetics       Date:  2005-06-08       Impact factor: 4.562

3.  Bayesian analyses of multiple epistatic QTL models for body weight and body composition in mice.

Authors:  Nengjun Yi; Denise K Zinniel; Kyoungmi Kim; Eugene J Eisen; Alfred Bartolucci; David B Allison; Daniel Pomp
Journal:  Genet Res       Date:  2006-02       Impact factor: 1.588

4.  Direct and maternal genetic effects on body weight maturing patterns in mice.

Authors:  W R Williams; E J Eisen; J Nagai; H Bakker
Journal:  Theor Appl Genet       Date:  1978-09       Impact factor: 5.699

5.  Selection for components related to body composition in mice: direct responses.

Authors:  E J Eisen
Journal:  Theor Appl Genet       Date:  1987-10       Impact factor: 5.699

6.  Maturing patterns of organ weights in mice selected for rapid postweaning gain.

Authors:  E J Eisen
Journal:  Theor Appl Genet       Date:  1986-11       Impact factor: 5.699

7.  Body composition and energetic efficiency in two lines of mice selected for rapid growth rate and their F1 crosses.

Authors:  E J Eisen; H Bakker; J Nagai
Journal:  Theor Appl Genet       Date:  1977-01       Impact factor: 5.699

8.  Correlated responses in growth and body composition of replicated single-trait and index selected lines of mice.

Authors:  E J Eisen; T Bandy
Journal:  Theor Appl Genet       Date:  1977-05       Impact factor: 5.699

Review 9.  Relationships between quantitative and reproductive fitness traits in animals.

Authors:  Lutz Bünger; Ronald M Lewis; Max F Rothschild; Agustin Blasco; Ulla Renne; Geoff Simm
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

10.  Effect of genetic background on growth of mice hemizygous for wild-type or dwarf mutated bovine growth hormone transgenes.

Authors:  E J Eisen; M Fortman; W Y Chen; J J Kopchick
Journal:  Theor Appl Genet       Date:  1993-10       Impact factor: 5.699

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.