細菌の進化と酸素の適応のための地質学的時間スケール
Adrián A Davín1,2,3, Ben J Woodcroft4, Rochelle M Soo1
1The University of Queensland, School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, Brisbane, Queensland, Australia.
まとめ
機械学習と 系統遺伝的和解は 細菌の進化を明らかにします 大抵のバクテリアは,大酸化イベント後に有酸素になったが,サイアノバクテリアは,より早く有酸素代謝を進化させ,酸素光合成を可能にした.
科学分野:
- 微生物の進化
- 地化学
- 古生物学
背景:
- 微生物の化石の記録は稀で 進化の深淵の理解は限られている
- バクテリアの代謝は地化学的痕跡を残し,特に大酸化現象 (GOE) を示した.
研究 の 目的:
- 機械学習と系統的和解を用いて 祖先のバクテリアがエアロビックなライフスタイルに 移行することを推論する.
- バクテリアのタイムツリーを カリブレーションするための GOE にこれらの移行をリンクします
主な方法:
- 機械学習アルゴリズムが使われました
- 遺伝学的な和解技術が用いられた.
- 特にGEに関連する地化学データは統合された.
主要な成果:
- 細菌群の多様性は,アーカイアとプロテロゾイク時代まで遡る.
- ほとんどのバクテリア属は祖先から無酸素であり,GOE後の有酸素生活様式を採用した.
- シアノバクテリアの祖先はおそらくGOEより前に有酸素代謝をしていた.
結論:
- この研究は,細菌の代謝の進化史についての洞察を提供します.
- GOEは細菌のエアロビックライフスタイルを形作る上で重要な役割を果たしました.
- シアノバクテリアの初期の有酸素代謝は,酸素光合成の先駆者であったかもしれない.
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