Reduction of genetic drift for preservation of genetic variability is one of the primary concerns for maintenance of endangered species in captivity. For this purpose, a number of selection schemes to equalize parental contributions to the next generation have been widely accepted as a simple guideline, but genetic drift due to random segregation of heterozygote parents, so-called Mendelian sampling, has remained unavoidable. In the past, the use of cell manipulation techniques developed in a field of mammal reproductive technology has been suggested to restrict this genetic drift. However, its potential benefit has been examined only for a randomly mating population of equal sex ratio. In this study, we assumed the situation where the cell manipulation technique is applied to the population under the mating system of maximum avoidance of inbreeding (MAI), and examined its effect on the progress of inbreeding by developing a recurrence equation of panmictic indices of the population. Inbreeding coefficient was substantially suppressed at the locus site where the mean number of crossovers between the site and centromere (m) was small. Although inbreeding coefficient inflated as m increased, its effect diminished as m increased. These tendencies were observed irrespective of the size of the population.
Published in | Animal and Veterinary Sciences (Volume 7, Issue 4) |
DOI | 10.11648/j.avs.20190704.14 |
Page(s) | 99-103 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Maximum Avoidance of Inbreeding, Mendelian Sampling, Recurrence Equation, Cell Manipulation Technique, Gametogenesis
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APA Style
Takeshi Honda, Kenji Oyama. (2019). Improvement of the Maximum Avoidance of Inbreeding by the Use of Cell Manipulation Technique in Gametogenesis. Animal and Veterinary Sciences, 7(4), 99-103. https://doi.org/10.11648/j.avs.20190704.14
ACS Style
Takeshi Honda; Kenji Oyama. Improvement of the Maximum Avoidance of Inbreeding by the Use of Cell Manipulation Technique in Gametogenesis. Anim. Vet. Sci. 2019, 7(4), 99-103. doi: 10.11648/j.avs.20190704.14
AMA Style
Takeshi Honda, Kenji Oyama. Improvement of the Maximum Avoidance of Inbreeding by the Use of Cell Manipulation Technique in Gametogenesis. Anim Vet Sci. 2019;7(4):99-103. doi: 10.11648/j.avs.20190704.14
@article{10.11648/j.avs.20190704.14, author = {Takeshi Honda and Kenji Oyama}, title = {Improvement of the Maximum Avoidance of Inbreeding by the Use of Cell Manipulation Technique in Gametogenesis}, journal = {Animal and Veterinary Sciences}, volume = {7}, number = {4}, pages = {99-103}, doi = {10.11648/j.avs.20190704.14}, url = {https://doi.org/10.11648/j.avs.20190704.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.avs.20190704.14}, abstract = {Reduction of genetic drift for preservation of genetic variability is one of the primary concerns for maintenance of endangered species in captivity. For this purpose, a number of selection schemes to equalize parental contributions to the next generation have been widely accepted as a simple guideline, but genetic drift due to random segregation of heterozygote parents, so-called Mendelian sampling, has remained unavoidable. In the past, the use of cell manipulation techniques developed in a field of mammal reproductive technology has been suggested to restrict this genetic drift. However, its potential benefit has been examined only for a randomly mating population of equal sex ratio. In this study, we assumed the situation where the cell manipulation technique is applied to the population under the mating system of maximum avoidance of inbreeding (MAI), and examined its effect on the progress of inbreeding by developing a recurrence equation of panmictic indices of the population. Inbreeding coefficient was substantially suppressed at the locus site where the mean number of crossovers between the site and centromere (m) was small. Although inbreeding coefficient inflated as m increased, its effect diminished as m increased. These tendencies were observed irrespective of the size of the population.}, year = {2019} }
TY - JOUR T1 - Improvement of the Maximum Avoidance of Inbreeding by the Use of Cell Manipulation Technique in Gametogenesis AU - Takeshi Honda AU - Kenji Oyama Y1 - 2019/08/26 PY - 2019 N1 - https://doi.org/10.11648/j.avs.20190704.14 DO - 10.11648/j.avs.20190704.14 T2 - Animal and Veterinary Sciences JF - Animal and Veterinary Sciences JO - Animal and Veterinary Sciences SP - 99 EP - 103 PB - Science Publishing Group SN - 2328-5850 UR - https://doi.org/10.11648/j.avs.20190704.14 AB - Reduction of genetic drift for preservation of genetic variability is one of the primary concerns for maintenance of endangered species in captivity. For this purpose, a number of selection schemes to equalize parental contributions to the next generation have been widely accepted as a simple guideline, but genetic drift due to random segregation of heterozygote parents, so-called Mendelian sampling, has remained unavoidable. In the past, the use of cell manipulation techniques developed in a field of mammal reproductive technology has been suggested to restrict this genetic drift. However, its potential benefit has been examined only for a randomly mating population of equal sex ratio. In this study, we assumed the situation where the cell manipulation technique is applied to the population under the mating system of maximum avoidance of inbreeding (MAI), and examined its effect on the progress of inbreeding by developing a recurrence equation of panmictic indices of the population. Inbreeding coefficient was substantially suppressed at the locus site where the mean number of crossovers between the site and centromere (m) was small. Although inbreeding coefficient inflated as m increased, its effect diminished as m increased. These tendencies were observed irrespective of the size of the population. VL - 7 IS - 4 ER -