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Related Concept Videos

Translation in Prokaryotes01:29

Translation in Prokaryotes

Prokaryote translation is a complex, highly coordinated process that converts genetic information from mRNA into functional proteins. It involves three stages: initiation, elongation, and termination, each facilitated by specific molecular components.Initiation of TranslationThe process begins with the assembly of the ribosomal subunits and initiation factors on the mRNA. In bacteria, the 30S ribosomal subunit recognizes the Shine-Dalgarno sequence in the mRNA, a conserved region upstream of...
Translational Regulation01:29

Translational Regulation

Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...
Initiation of Translation02:33

Initiation of Translation

Initiating translation is complex because it involves multiple molecules. Initiator tRNA, ribosomal subunits, and eukaryotic initiation factors (eIFs) are all required to assemble on the initiation codon of mRNA. This process consists of several steps that are mediated by different eIFs.
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...
Coordination of Gene Expression Processes in Bacteria01:29

Coordination of Gene Expression Processes in Bacteria

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...
Improving Translational Accuracy02:07

Improving Translational Accuracy

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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Bacterial Translocation and Protein Secretion

Bacterial protein secretion involves translocation systems to ensure proteins reach their designated locations, including the plasma membrane, periplasm, outer membrane, or the external environment. These translocation systems are vital for bacterial physiology, supporting processes like membrane assembly, enzymatic activity in the periplasm, and interactions with the external environment. The division of labor between Sec and Tat pathways ensures efficiency in handling proteins with diverse...

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Rapid In Vivo Fixation and Isolation of Translational Complexes from Eukaryotic Cells
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Translational selection is ubiquitous in prokaryotes.

Fran Supek1, Nives Skunca, Jelena Repar

  • 1Division of Electronics, Rudjer Boskovic Institute, Zagreb, Croatia.

Plos Genetics
|June 30, 2010
PubMed
Summary

Translational selection, driven by codon usage bias, is nearly universal in prokaryotes. A new machine learning method identifies highly expressed genes, revealing conserved optimization trends across microbial genomes.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Codon usage bias in prokaryotes is influenced by DNA substitution patterns.
  • Highly expressed genes may favor codons for efficient and accurate translation.

Purpose of the Study:

  • To develop a novel supervised machine learning approach to detect translational selection effects on genes.
  • To control for local nucleotide substitution patterns using intergenic DNA sequence composition.

Main Methods:

  • Utilized a Random Forest classifier to identify codon usage patterns.
  • Compared the Random Forest approach to distance measure-based methods like the codon adaptation index.
  • Analyzed 460 microbial genomes to assess the universality of translational selection.

Main Results:

  • The Random Forest classifier outperformed previous methods in distinguishing highly expressed ribosomal protein genes.
  • Translational selection was found to be nearly universal, present in 460 of 461 genomes examined.
  • Optimized genes, constituting 5-33% of genomes, showed higher mRNA abundance and favored codons with canonical base pairing.

Conclusions:

  • Translational selection is a widespread phenomenon in prokaryotic genomes.
  • Gene functional categories exhibit conserved enrichment or depletion of codon optimization.
  • The study provides insights into gene expression, physiological roles, and potential misannotations.