WEKO3
アイテム
Gene genealogy and variance of interpopulational nucleotide differences
https://ir.soken.ac.jp/records/3711
https://ir.soken.ac.jp/records/3711a4346150-e439-473c-96bc-4a7d0a44e54d
| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2013-07-03 | |||||||||
| タイトル | ||||||||||
| タイトル | Gene genealogy and variance of interpopulational nucleotide differences | |||||||||
| タイトル | ||||||||||
| タイトル | Gene genealogy and variance of interpopulational nucleotide differences | |||||||||
| 言語 | en | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| アクセス権 | ||||||||||
| アクセス権 | metadata only access | |||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||||||
| 著者 |
TAKAHATA, Naoyuki
× TAKAHATA, Naoyuki
× NEI, Masatoshi
|
|||||||||
| 著者別名 |
尚之, 高畑
× 尚之, 高畑
|
|||||||||
| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | A mathematical theory is developed for computing the probability that m genes sampled from one population (species) and n genes sampled from another are derived from l genes that existed at the time of population splitting. The expected time of divergence between the two most closely related genes sampled from two different populations and the time of divergence (coalescence) of all genes sampled are studied by using this theory. It is shown that the time of divergence between the two most closely related genes can be used as an approximate estimate of the time of population splitting (T) only when T ≡ t/(2 N) is small, where t and N are the number of generations and the effective population size, respectively. The variance of Nei and Li's estimate (d) of the number of net nucleotide differences between two populations is also studied. It is shown that the standard error (sd) of d is larger than the mean when T is small (T << 1). In this case, sd is reduced considerably by increasing sample size. When T is large (T > 1), however, a large proportion of the variance of d is caused by stochastic factors, and increase in the sample size does not help to reduce sd. To reduce the stochastic variance of d, one must use data from many independent unlinked gene loci. | |||||||||
| 書誌情報 |
Genetics en : Genetics 巻 110, 号 2, p. 325-344, 発行日 1985 |
|||||||||
| 出版者 | ||||||||||
| 出版者 | The Genetics Society of America | |||||||||
| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 00166731 | |||||||||
| PubMed番号 | ||||||||||
| 識別子タイプ | PMID | |||||||||
| 関連識別子 | 4007484 | |||||||||
| 権利 | ||||||||||
| 権利情報 | © 1985 by The Genetics Society of America | |||||||||
| 関連サイト | ||||||||||
| 識別子タイプ | URI | |||||||||
| 関連識別子 | http://www.genetics.org/content/110/2/325.short | |||||||||
| 関連名称 | The Genetics Society of America | |||||||||
