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Videos de Conceptos Relacionados

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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Video Experimental Relacionado

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

La tasa evolutiva en la red de interacción de proteínas de la red de interacción de proteínas.

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
Resumen
Este resumen es generado por máquina.

Las proteínas con más socios de interacción en la levadura evolucionan más lentamente debido a restricciones funcionales. Este estudio de evolución molecular revela que las proteínas que interactúan a menudo evolucionan a tasas similares, impulsadas por cambios coevolucionarios.

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Área de la Ciencia:

  • Evolución molecular de la evolución molecular.
  • Biología de sistemas Biología de sistemas.
  • Genética de la levadura genética de la levadura.

Sus antecedentes:

  • Las pantallas de alto rendimiento están aclarando la red de interacción de proteínas en Saccharomyces cerevisiae.
  • Comprender cómo la organización de la red influye en la evolución de las proteínas es crucial en la evolución molecular.

Objetivo del estudio:

  • Investigar la relación entre la conectividad de proteínas dentro del interactoma de la levadura y las tasas evolutivas.
  • Para determinar si la importancia de la proteína o la participación funcional explica la correlación entre la conectividad y la evolución.

Principales métodos:

  • Análisis de los datos de interacción proteína-proteína obtenidos de Saccharomyces cerevisiae.
  • Análisis de correlación entre la conectividad proteica (número de interactores) y las tasas evolutivas.
  • Examen de las tasas evolutivas en los sitios de interacción y entre pares de proteínas que interactúan.

Principales resultados:

  • Existe una correlación negativa entre la conectividad de las proteínas y la tasa evolutiva en las levaduras.
  • Las proteínas con más interactores evolucionan más lentamente, no debido a su importancia, sino debido a una mayor participación funcional de su estructura.
  • Las proteínas que interactúan exhiben tasas evolutivas similares, apoyando el papel de la coevolución.

Conclusiones:

  • La arquitectura de la red de proteínas tiene un impacto significativo en la evolución molecular.
  • Las restricciones funcionales en las interfaces de interacción impulsan una evolución más lenta en proteínas altamente conectadas.
  • Las dinámicas coevolucionarias entre proteínas que interactúan conducen a tasas de evolución correlacionadas.