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Simulation-based likelihood approach for evolutionary models of phenotypic traits on phylogeny
https://ir.soken.ac.jp/records/3847
https://ir.soken.ac.jp/records/3847c5a7666d-fe11-4ee9-be68-5a75875f6f11
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2013-08-07 | |||||
| タイトル | ||||||
| タイトル | Simulation-based likelihood approach for evolutionary models of phenotypic traits on phylogeny | |||||
| タイトル | ||||||
| タイトル | Simulation-based likelihood approach for evolutionary models of phenotypic traits on phylogeny | |||||
| 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 |
KUTSUKAKE, Nobuyuki
× KUTSUKAKE, Nobuyuki× INNAN, Hideki |
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| 著者別名 |
沓掛, 展之
× 沓掛, 展之 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Phylogenetic comparative methods (PCMs) have been used to test evolutionary hypotheses at phenotypic levels. The evolutionary modes commonly included in PCMs are Brownian motion (genetic drift) and the Ornstein-Uhlenbeck process (stabilizing selection), whose likelihood functions are mathematically tractable. More complicated models of evolutionary modes, such as branch-specific directional selection, have not been used because calculations of likelihood and parameter estimates in the maximum-likelihood framework are not straightforward. To solve this problem, we introduced a population genetics framework into a PCM, and here, we present a flexible and comprehensive framework for estimating evolutionary parameters through simulation-based likelihood computations. The method does not require analytic likelihood computations, and evolutionary models can be used as long as simulation is possible. Our approach has many advantages: it incorporates different evolutionary modes for phenotypes into phylogeny, it takes intraspecific variation into account, it evaluates full likelihood instead of using summary statistics, and it can be used to estimate ancestral traits. We present a successful application of the method to the evolution of brain size in primates. Our method can be easily implemented in more computationally effective frameworks such as approximate Bayesian computation (ABC), which will enhance the use of computationally intensive methods in the study of phenotypic evolution. | |||||
| 書誌情報 |
Evolution en : Evolution 巻 67, 号 2, p. 355-367, 発行日 2013-02 |
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| 出版者 | ||||||
| 出版者 | Wiley-Blackwell | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 00143820 | |||||
| PubMed番号 | ||||||
| 識別子タイプ | PMID | |||||
| 関連識別子 | 23356609 | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1111/j.1558-5646.2012.01775.x | |||||
| 関連名称 | 10.1111/j.1558-5646.2012.01775.x | |||||
| 権利 | ||||||
| 権利情報 | © 2012 The Author(s). Evolution© 2012 The Society for the Study of Evolution | |||||
