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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...
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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.
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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R stands for...
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The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
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The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...

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An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

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Published on: July 12, 2022

Investigating protein-coding sequence evolution with probabilistic codon substitution models.

Maria Anisimova1, Carolin Kosiol

  • 1Institute of Computational Science, Swiss Federal Institute of Technology, Zurich, Switzerland. maria.anisimova@inf.ethz.ch

Molecular Biology and Evolution
|October 17, 2008
PubMed
Summary
This summary is machine-generated.

Recent advancements in probabilistic codon evolution models offer sophisticated analyses of selective pressures. Understanding these models is crucial for accurate biological data interpretation and evolutionary insights.

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Area of Science:

  • Evolutionary Biology
  • Computational Biology
  • Genetics

Background:

  • Traditional codon models used parametric approaches to estimate selective pressure.
  • Maximum likelihood frameworks and likelihood ratio tests enabled detection of positive selection.
  • Recent studies show an explosion in developing and refining probabilistic codon evolution models.

Purpose of the Study:

  • To review recent advances in probabilistic models of codon evolution.
  • To discuss the applications of these models in analyzing real biological data.
  • To highlight challenges and considerations for accurate interpretation and model selection.

Main Methods:

  • Overview of traditional and modern probabilistic codon models.
  • Discussion of models incorporating physicochemical amino acid properties and genetic code machinery.
  • Analysis of how large public domain datasets are utilized.

Main Results:

  • Newer models offer more sophisticated approaches to codon evolution, relaxing previous assumptions.
  • These advanced models leverage diverse biological data for improved accuracy.
  • Applications demonstrate the power of these models in uncovering evolutionary patterns.

Conclusions:

  • A wide array of codon models are available, necessitating careful selection and interpretation.
  • Understanding model assumptions is critical for robust statistical analysis in evolutionary studies.
  • Continued development in codon modeling promises deeper insights into molecular evolution.