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Related Concept Videos

Epistasis Analysis01:09

Epistasis Analysis

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Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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Epistasis01:39

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In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
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Mutations01:35

Mutations

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Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
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Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
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Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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How mutational epistasis impairs predictability in protein evolution and design.

Charlotte M Miton1, Nobuhiko Tokuriki1

  • 1Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.

Protein Science : a Publication of the Protein Society
|January 13, 2016
PubMed
Summary

Mutational epistasis, where mutation effects depend on genetic background, often makes enzyme evolution unpredictable. This study reveals positive epistasis is common, with mutations becoming more beneficial later in adaptive evolution.

Keywords:
adaptive mutationsdirected evolutionenzyme evolutionepistasisevolutionary constraintsprotein engineeringrational design

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Area of Science:

  • Evolutionary biology
  • Biochemistry
  • Protein engineering

Background:

  • Mutational epistasis, the dependence of mutation effects on genetic background, complicates evolutionary trajectory prediction.
  • This unpredictability hinders protein design and engineering strategies.
  • A consensus on the extent of epistasis in enzyme evolution remains elusive.

Purpose of the Study:

  • To comprehensively analyze the prevalence and nature of epistasis in enzyme adaptive evolution.
  • To quantify epistasis by comparing mutation effects across different genetic backgrounds.
  • To assess the predictability of functional mutations in evolutionary trajectories.

Main Methods:

  • Analysis of mutational effects across nine adaptive evolutionary trajectories toward new enzymatic functions.
  • Quantification of epistasis by comparing mutation effects on ancestral versus intermediate enzyme variants.
  • Identification of residue interactions (direct and indirect) associated with epistasis.

Main Results:

  • Most evolutionary trajectories exhibited positive epistasis, where mutations become more beneficial over time.
  • Nearly half (49%) of beneficial mutations were neutral or deleterious on the ancestral background, highlighting unpredictability.
  • Both direct and long-range indirect interactions between residues contributed to observed epistasis.

Conclusions:

  • Epistasis, particularly positive epistasis, is prevalent in enzyme adaptive evolution.
  • A significant portion of functional mutations are not predictable from the initial genetic background.
  • Incorporating epistasis into protein engineering and design is crucial for developing efficient enzyme catalysts.