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Related Concept Videos

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...
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...
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Conservation of Protein Domains02:26

Conservation of Protein Domains

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...

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Related Experiment Video

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Published on: July 14, 2015

The proteomic constraint and its role in molecular evolution.

Steven E Massey1

  • 1Molecular Biology Department, University of Wyoming, USA. stevenmassey@gmail.com

Molecular Biology and Evolution
|September 25, 2008
PubMed
Summary

The Proteomic Constraint, linked to proteome size, influences genetic information systems. Smaller constraints correlate with higher mutation rates and fewer error corrections, while larger constraints drive greater fidelity across diverse genomes.

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Area of Science:

  • Genetics
  • Molecular Biology
  • Evolutionary Biology

Background:

  • The Proteomic Constraint concept explains genetic code deviations in mitochondrial genomes, proposing a link between proteome size and error rates.
  • It suggests that smaller proteomes face fewer errors from genetic code deviations, reducing lethality risk.

Purpose of the Study:

  • To extend the Proteomic Constraint concept to other aspects of genetic information systems.
  • To investigate its influence on error correction mechanisms, replication, transcription, and translation fidelities.
  • To explore its role in determining mutation rates, recombination, and other genomic features.

Main Methods:

  • Analysis of negative power law relationships between proteome size and error rates.
  • Comparative genomics across diverse DNA genomes, RNA viruses, and intracellular pathogenic bacteria.
  • Examination of eukaryotic recombination rates and resident genome characteristics.

Main Results:

  • Negative power law relationships between proteome size and error rates are diagnostic of the Proteomic Constraint.
  • The Proteomic Constraint influences mutation rates, explaining high rates in RNA viruses and potential increases in intracellular bacteria.
  • Differences in Proteomic Constraint correlate with variations in replication, transcription, and translation fidelity, as well as recombination rates.

Conclusions:

  • The Proteomic Constraint is a universal factor impacting mutation rates across diverse DNA genomes, suggesting clock-like mutation rates.
  • It explains variations in genomic features such as error correction, fidelity, recombination, and resident genome characteristics.
  • The size of the Proteomic Constraint significantly shapes the evolution and maintenance of genetic information systems.