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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 Central Dogma

Overview
The Central Dogma01:20

The Central Dogma

The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
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In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...
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Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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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.
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Gene Evolution - Fast or Slow?02:05

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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.
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Related Experiment Video

Updated: Jun 17, 2026

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

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

Published on: June 24, 2019

Modal codon usage: assessing the typical codon usage of a genome.

James J Davis1, Gary J Olsen

  • 1Department of Microbiology, University of Illinois at Urbana-Champaign, IL, USA.

Molecular Biology and Evolution
|December 19, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces the "mode" as a better measure of typical genome codon usage than the average. Using this method reveals distinct codon usage patterns in bacterial and archaeal genomes, offering insights into genome evolution.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Evolution

Background:

  • Genomes exhibit heterogeneous codon usage, necessitating a representative measure for analysis.
  • The genomewide average is conventionally used to define typical codon usage, but may not accurately reflect the majority of genes.

Purpose of the Study:

  • To propose and validate the "mode" as a more accurate measure of typical codon usage within a genome.
  • To develop a method for estimating modal codon usage.
  • To investigate genome evolution using modal codon usage in specific bacterial species.

Main Methods:

  • Developed a method for estimating modal codon usage using continuous approximation and simplex optimization.
  • Surveyed bacterial and archaeal genomes to compare modal and average codon usage.
  • Analyzed multireplicon genomes of Agrobacterium tumefaciens and Borrelia burgdorferi.

Main Results:

  • The modal codon usage better represents typical codon usage, matching up to 20% more genes than the average.
  • Identified distinct "chromosome-like" and "plasmid-like" codon usage patterns in Agrobacterium tumefaciens.
  • Detected novel codon usage similarities between specific plasmids and chromosomal DNA strands in Borrelia burgdorferi.

Conclusions:

  • The mode provides a more robust measure of typical codon usage for genomic studies.
  • Modal codon usage analysis reveals distinct evolutionary patterns in bacterial genomes, particularly in multireplicon systems.
  • This approach enhances our understanding of genome organization and evolution.