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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
Graded and Abrupt Responses
Some signaling systems generate...
Evolutionary Processes in Microbes01:26

Evolutionary Processes in Microbes

Microbial evolution occurs rapidly due to short generation times and a variety of genetic processes, including horizontal gene transfer, mutation, recombination, and genetic drift. These mechanisms collectively enable microbes to adapt swiftly to changing environments.Horizontal gene transfer (HGT) allows genes to move between different species and occurs through three main mechanisms: conjugation, transformation, and transduction. Conjugation involves direct cell-to-cell contact for DNA...

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Updated: Jul 5, 2026

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
11:36

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

Published on: July 3, 2016

タンパク質相互作用ネットワークにおける進化速度

Hunter B Fraser1, Aaron E Hirsh, Lars M Steinmetz

  • 1Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA. hunter@ocf.berkeley.edu

Science (New York, N.Y.)
|April 27, 2002
PubMed
まとめ
この要約は機械生成です。

イーストの相互作用パートナー数が多いタンパク質は,機能的な制約により,進化が遅くなる. この分子進化の研究は,相互作用するタンパク質は,共進化的な変化によって誘発され,しばしば同様の速度で進化することを明らかにしています.

さらに関連する動画

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

関連する実験動画

Last Updated: Jul 5, 2026

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
11:36

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

Published on: July 3, 2016

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

科学分野:

  • 分子進化は分子進化である.
  • システム生物学 システム生物学
  • イースト遺伝学 イースト遺伝学

背景:

  • 高通量スクリーンは,Saccharomyces cerevisiaeのタンパク質相互作用ネットワークを明らかにしています.
  • ネットワークの組織がタンパク質の進化にどのように影響するかを理解することは,分子進化において極めて重要です.

研究 の 目的:

  • 酵母相互作用体内のタンパク質の接続性と進化の速度の関係を調べる.
  • タンパク質の重要性や機能的関与が,結合性と進化の相関を説明するかどうかを判断する.

主な方法:

  • Saccharomyces cerevisiae.からのタンパク質-タンパク質相互作用データの分析.
  • タンパク質の接続性 (相互作用体の数) と進化の速度との相関分析.
  • 相互作用部位と相互作用するタンパク質ペアの間の進化速度の検討.

主要な成果:

  • 酵母におけるタンパク質の結合性と進化の速度の間には負の相関関係がある.
  • インタラクター数が多いタンパク質は,重要性からではなく,構造の機能的関与が大きいため,進化が遅くなる.
  • 相互作用するタンパク質は,類似の進化速度を示し,共進化の役割を支持する.

結論:

  • タンパク質のネットワークアーキテクチャは,分子進化に大きく影響する.
  • 相互作用界面における機能的制約は,高度に結合したタンパク質の進化を遅らせます.
  • 相互作用するタンパク質間の共進化的ダイナミクスは,相関する進化の速度につながります.