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A Practical Guide to Phylogenetics for Nonexperts
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大量のデータの時代におけるフェルセンスタインの系統的ブートストラップの更新
F Lemoine1,2, J-B Domelevo Entfellner3,4, E Wilkinson5
1Unité Bioinformatique Evolutive, C3BI USR 3756, Institut Pasteur & CNRS, Paris, France.
Nature
|April 20, 2018
まとめ
進化の樹木の精度を向上させる 新しい系統遺伝学ブートストラップ法です このアプローチでは,
科学分野:
- * 進化生物学
- バイオインフォマティクス
- * コンピューター系遺伝学
背景:
- * フェルセンスタインのブートストラップ法は,系統遺伝的推論の強さを評価するための基石である.
- * 系統遺伝学における配列データと個体数の増加は,従来のブートストラップ方法に課題をもたらす.
- * フェルセンシュタインのブートストラップは,大きなデータセットで,特に深層進化の枝では,低いサポート値を出すことが多い.
研究 の 目的:
- * 大規模なデータセットの限界に対処する 系統遺伝的推論のための改良されたブートストラップ方法を開発する.
- * 系統樹の支柱値の信頼性を高めるため,特に深い枝のために.
- * 広範囲な配列データにおける遺伝信号のより敏感で正確な評価を提供するため.
主な方法:
- "移転"距離メトリクスを利用した新種の遺伝的ブートストラップアプローチを提案しました.
- * Felsensteinの元のブートストラップのバイナリ存在/欠席指数を漸進的な距離測定で置き換えました.
- * 新しい方法を大型哺乳類,HIV,シミュレートされた遺伝学データセットに適用した.
主要な成果:
- * 新しいブートストラップ方法は,フェルセンスタインの元の方法と比較して,より高いサポート値を生成します.
- * 提案された方法は,フェルセンスタインのブートストラップが失敗した大規模なデータセットにおける遺伝信号を効果的に明らかにします.
- * 新しい方法によって生成されたサポートは,偽りのサポートされたブランチにつながらない.
結論:
- * 強化された系統生殖ブートストラップ法により,大規模な系統生殖の進化的関係をより堅牢かつ正確に評価できます.
- * この進歩は,急速に増加するゲノムデータによる複雑な進化史の解釈に不可欠です.
- * 移動距離ベースのブートストラップは,現代的な遺伝学研究にとって貴重なツールです.
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