Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Evolution of New Traits in Microbes01:24

Evolution of New Traits in Microbes

Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
Microbial Nutrition01:28

Microbial Nutrition

Organisms exhibit remarkable metabolic diversity, categorized based on how they acquire energy and carbon. These strategies enable survival in various ecological niches and are essential for maintaining energy flow and nutrient cycling within ecosystems.Energy and Carbon SourcesOrganisms are classified as phototrophs or chemotrophs based on energy acquisition. Phototrophs use light as their energy source, while chemotrophs rely on oxidizing chemical compounds. Further differentiation arises...
Metabolism of Chemolithotrophs01:15

Metabolism of Chemolithotrophs

Chemolithotrophs are microorganisms that obtain energy by oxidizing inorganic molecules such as hydrogen gas (H₂), ammonia (NH₃), reduced sulfur compounds (H₂S, S²⁻), and ferrous iron (Fe²⁺). Unlike heterotrophic organisms that rely on organic carbon, chemolithotrophs transfer electrons from these inorganic donors to the electron transport chain (ETC), generating a proton motive force (PMF) that drives ATP synthesis through oxidative phosphorylation. However, because inorganic electron donors...
Marine Microbial Ecology01:30

Marine Microbial Ecology

Marine microbial ecosystems are shaped by distinct physicochemical limits, including high salinity, low nutrient availability, and fluctuating oxygen levels. These conditions favor smaller microbial cell sizes, which maximize their surface-to-volume ratio for efficient nutrient uptake.Microbial activity and community composition are closely linked to biogeochemical cycles, particularly in dynamic environments like estuaries, where halotolerant microbes thrive in response to variable salinity...
Operon Model01:23

Operon Model

The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Thermo-flux: generation and analysis of thermodynamic-stoichiometric metabolic network models.

Molecular systems biology·2026
Same author

Towards the construction of a virtual yeast.

Nature·2026
Same author

Multiomics analysis dissects the molecular foundation of perianal fistulas associated with Crohn's disease and of cryptoglandular origin.

Journal of Crohn's & colitis·2026
Same author

Genome-wide association study of untargeted plasma metabolomic profiles identifies host genetic regulation in people with HIV.

HGG advances·2026
Same author

Model-based inference of enzyme inhibitions from perturbation-induced metabolic dynamics.

bioRxiv : the preprint server for biology·2026
Same author

MultiMS2: A curated multi-modal, multi-energy spectral library for metabolomics.

GigaScience·2026

関連する実験動画

Updated: May 22, 2026

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
12:47

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

微生物の代謝の多次元的最適性について

Robert Schuetz1, Nicola Zamboni, Mattia Zampieri

  • 1Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule Zurich, Zurich, Switzerland.

Science (New York, N.Y.)
|May 5, 2012
PubMed
まとめ

メタボリックネットワークはパレト最適性に近い状態で動作し,環境間の最小限の変化と条件特有の効率のバランスをとります. 進化は,微生物の性能と適応性を最適化することによって,これらの流動状態を駆動します.

科学分野:

  • 微生物の代謝とは
  • システム生物学 システム生物学
  • 進化生物学の進化生物学について

背景:

  • メタボリックネットワークのトポロジーは理解されていますが,フルス分布の原理は不明です.
  • 代謝の流れを理解することは,進化の観点から極めて重要です.
  • 炭素13流量分析は,重要な実験技術である.

研究 の 目的:

  • 代謝流の分布を制御する進化の原理を調査する.
  • メタボリックフローが最適化原理で動作するかどうかを判断する.
  • 微生物が変化する環境に代謝を適応させる方法を説明する.

主な方法:

  • 9つの細菌種から得られた炭素13流量分析データを利用した.
  • 適用された多目的最適化理論.
  • 進化したEscherichia coli.のフルスデータを分析した.

主要な成果:

  • 代謝は,3Dの客観的な空間におけるパレート最適の表面の近くで動作する.
  • メタボリックフクロス状態は,条件間の最適性と最小限の調整をバランスさせ,進化します.
  • 発見は,進化したE. coliからのフルスデータと一致しています.

さらに関連する動画

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

Creating Rapid Oxygen Oscillations in Microbial Single-cell Growth Analysis using a Microfluidic Double-layer Device
08:28

Creating Rapid Oxygen Oscillations in Microbial Single-cell Growth Analysis using a Microfluidic Double-layer Device

Published on: July 18, 2025

関連する実験動画

Last Updated: May 22, 2026

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
12:47

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

Creating Rapid Oxygen Oscillations in Microbial Single-cell Growth Analysis using a Microfluidic Double-layer Device
08:28

Creating Rapid Oxygen Oscillations in Microbial Single-cell Growth Analysis using a Microfluidic Double-layer Device

Published on: July 18, 2025

結論:

  • 進化は,最適性と適応性の間のトレードオフを通じて,微生物の代謝の流れを形作ります.
  • これらの進化的圧力は,微生物が環境の文脈にどのように反応するかを決定する.
  • 代謝流の最適化は,微生物の進化の重要な原動力である.