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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...
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...
The Central Dogma01:25

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.
RNA is the Missing Link Between DNA and Proteins
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...
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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Related Experiment Video

Updated: May 24, 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

Codon usage bias as a function of generation time and life expectancy.

Rami N Mahdi, Eric C Rouchka

    Bioinformation
    |February 28, 2012
    PubMed
    Summary

    Organisms exhibit natural DNA that is more tolerant to mutations, a trait linked to longer lifespans. This mutation tolerance is observed across species, suggesting an evolutionary adaptation for longevity.

    Area of Science:

    • Genomics
    • Evolutionary Biology
    • Molecular Biology

    Background:

    • Human codon usage bias demonstrates higher buffering capacity to mutations than random sequences.
    • This suggests natural DNA sequences possess inherent mechanisms for mutation tolerance.

    Purpose of the Study:

    • To investigate the correlation between DNA mutation tolerance and organismal lifespan and age of sexual maturation.
    • To propose a novel method for quantifying DNA sequence buffering capacity against mutations.

    Main Methods:

    • Analysis of natural DNA sequences from four species: human, mouse, zebrafish, and fruit fly.
    • Development of a new metric for mutation buffering capacity, incorporating mutation rates and effects.
    • Comparative analysis of natural sequences, constrained random sequences, and unconstrained random sequences.
    Keywords:
    Buffering capacityCodon biasSequence evolution

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    Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
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    Last Updated: May 24, 2026

    Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
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    Published on: June 24, 2019

    The Replica Set Method: A High-throughput Approach to Quantitatively Measure Caenorhabditis elegans Lifespan
    11:58

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    Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
    08:46

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    Published on: September 29, 2011

    Main Results:

    • A positive correlation was found between mutation tolerance and organismal life expectancy across the studied species.
    • Constrained random sequences showed higher buffering than unconstrained random sequences, but less than natural sequences.
    • Codon usage bias and natural codon sequences contribute to mutation tolerance, correlating with lifespan and maturation age.

    Conclusions:

    • DNA sequences are optimized for mutation tolerance, a trait associated with longevity and reproductive strategies.
    • Evolutionary pressures favor mechanisms that buffer against deleterious mutations, influencing species' life history traits.
    • The findings highlight the interplay between genetic code, mutation buffering, and organismal evolution.