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Related Concept Videos

Mutations01:39

Mutations

Overview
Mutations01:35

Mutations

Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
Mutations01:39

Mutations

Overview
Mutations in Microorganisms01:18

Mutations in Microorganisms

Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
Viral Mutations00:36

Viral Mutations

A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material for adaptive...

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Related Experiment Video

Updated: Jun 3, 2026

A Rapid and Facile Pipeline for Generating Genomic Point Mutants in C. elegans Using CRISPR/Cas9 Ribonucleoproteins
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A Rapid and Facile Pipeline for Generating Genomic Point Mutants in C. elegans Using CRISPR/Cas9 Ribonucleoproteins

Published on: April 30, 2018

Crowdsourcing human mutations

    Nature Genetics
    |March 30, 2011
    PubMed
    Summary
    This summary is machine-generated.

    Data citation and publication credit incentivize gene variant and phenotype data curation. Separating data structures from narrative improves meaning communication in scientific literature.

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    A Rapid and Facile Pipeline for Generating Genomic Point Mutants in C. elegans Using CRISPR/Cas9 Ribonucleoproteins
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    In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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    In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

    Published on: August 20, 2019

    Area of Science:

    • Genomics
    • Bioinformatics
    • Scientific Publishing

    Background:

    • Systematic curation of gene variant and phenotype data is crucial for understanding human genetics.
    • Current methods for data attribution and credit may not fully incentivize this curation.
    • The Human Variome project aims to aggregate and standardize human genetic variation data.

    Discussion:

    • This review analyzes formal assertions in databases and journal articles to assess attribution mechanisms.
    • It explores the relationship between data structures and narrative text in scientific communication.
    • The study investigates the effectiveness of microattribution as an incentive for data curation.

    Key Insights:

    • The first Human Variome microattribution review demonstrates that data citation and publication credit can effectively incentivize systematic data curation.
    • A clear separation between data structures and narrative content in scientific publications is advocated.
    • This separation enhances the ability of data and text to support each other in conveying meaning.

    Outlook:

    • Future research should focus on developing robust microattribution systems for biological data.
    • Implementing standardized data structures will improve data discoverability and reusability.
    • Enhanced data-text integration in scientific publishing will foster more accurate and efficient knowledge dissemination.