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Related Concept Videos

From DNA to Protein03:06

From DNA to Protein

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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The DNA replication, transcription, and translation processes are intricately coupled in bacteria, allowing efficient gene expression and rapid protein synthesis. While this physical and functional coordination is advantageous, it introduces challenges that bacteria overcome through specific regulatory mechanisms.Coupling of Replication, Transcription, and TranslationThe coupling of replication, transcription, and translation is a hallmark of bacterial gene expression. As the replisome unwinds...
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
10:41

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Published on: June 24, 2019

Stop codons in bacteria are not selectively equivalent.

Inna S Povolotskaya1, Fyodor A Kondrashov, Alice Ledda

  • 1Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG) and UPF, 88 Dr, Aiguader, Barcelona 08003, Spain.

Biology Direct
|September 15, 2012
PubMed
Summary
This summary is machine-generated.

Bacterial stop codons evolve slowly, with frequencies influenced by GC content. TAG codons are suboptimal, with TAA preferred for low GC content and TGA for high GC content.

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Area of Science:

  • Genomics
  • Molecular Evolution
  • Bioinformatics

Background:

  • Stop codon evolution and genomic frequencies are understudied, particularly outside non-canonical amino acid coding.
  • This study investigates the evolutionary rates and frequency distributions of stop codons within bacterial genomes.

Purpose of the Study:

  • To analyze the evolutionary dynamics of stop codons in bacteria.
  • To determine the relationship between stop codon frequencies and genomic nucleotide content.
  • To elucidate the selective pressures shaping stop codon usage in bacterial genomes.

Main Methods:

  • Comparative genomics analysis of bacterial genomes.
  • Statistical analysis of stop codon frequencies and GC content.
  • Development and application of a formal analytical model to assess selection pressures.

Main Results:

  • Bacterial stop codons exhibit slower evolution than synonymous sites, indicating weak negative selection.
  • Stop codon frequencies (TAA, TGA, TAG) show distinct relationships with genomic GC content.
  • A model incorporating weak GC-content-dependent selection on TAG codons best explains observed frequencies, suggesting TAG is universally suboptimal in bacteria.

Conclusions:

  • TAG is a universally suboptimal stop codon in bacteria.
  • TAA is the preferred stop codon for low GC content genomes (<16%), while TGA is preferred for high GC content genomes (>16%).
  • Optimizing stop codon usage holds potential for applications in genome engineering and gene expression.