最小代謝ネットワークの進化における偶然と必然性
Csaba Pál1, Balázs Papp, Martin J Lercher
1European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69012 Heidelberg, Germany.
Nature
|March 31, 2006
まとめ
ライフスタイルからバクテリアの遺伝子含有量を予測することは可能である. シミュレーションにより,生物の縮小されたゲノムと代謝は,その進化の歴史と現在の環境に基づいて正確にモデル化できることを示しています.
科学分野:
- 進化生物学の進化生物学について
- ゲノミクスゲノミクスとは
- システム生物学 システム生物学
背景:
- 生物のライフスタイルは,遺伝子の内容から推測できます.
- ライフスタイルの遺伝子含有量を予測する逆の方法も研究されています.
- エンドシンビオティック細菌は,縮小したゲノムを持ち,理想的なモデルになります.
研究 の 目的:
- 生物の遺伝子含有量が,そのライフスタイルから予測できるかどうかを調査する.
- エンドシンビオティックなバクテリアの減少したゲノムの進化をモデル化するために.
- 代謝経路の進化における偶然性の役割を評価する.
主な方法:
- Escherichia coliの代謝ネットワークを用いた遺伝子喪失のシリコンシミュレーション.
- 環境要因を制御しながら,遺伝子の損失を繰り返しシミュレートする.
- 特定のバクテリア系 (Buchnera aphidicola,Wigglesworthia glossinidia) の進化をモデリングする.
主要な成果:
- 発生した最小の代謝ネットワークは,遺伝子の含有量と数で変動し,これは偶然性によるものである.
- 細胞内細菌に共通するコア代謝が保存された.
- 特定のバクテリアの遺伝子内容の進化は,80%以上の精度で予測されました.
結論:
- 縮小したゲノムにおける遺伝子内容の進化は,選択力と偶然性の両方によって影響を受けます.
- ライフスタイルと環境条件は,細菌の遺伝子含有量の重要な予測要因です.
- 祖先の情報と現在のライフスタイルから遺伝子の内容を予測することは可能である.
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