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Spontaneous and Induced Mutations

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).

Mutations

Mutations

Mutations

Mutations

Mutations

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...

Point and Frameshift Mutations

Point and Frameshift Mutations

Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...

Mutations in Microorganisms

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,...

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Related Experiment Video

Updated: Apr 21, 2026

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

UV signature mutations.

Douglas E Brash¹

¹Departments of Therapeutic Radiology and Dermatology, Yale School of Medicine, New Haven, CT.

Photochemistry and Photobiology

|October 30, 2014

Summary

This study identifies reliable UV mutation signatures for pinpointing carcinogens in tumor genomes. It confirms specific C→T mutations as key indicators, aiding cancer research and mutagen identification.

Area of Science:

Genomics
Cancer Research
Molecular Biology

Background:

Tumor genome sequencing reveals mutation signatures, prompting interest in identifying carcinogens.
Distinguishing canonical mutations from signature mutations is crucial for inferring mutagens.

Purpose of the Study:

To review and meta-analyze mutation signatures, focusing on their proper use in cancer research.
To verify ultraviolet (UV) signature mutations by analyzing literature datasets and testing canonical UV mutation features.

Main Methods:

Assembled literature datasets on cells exposed to various UV light sources (UVC, UVB, UVA, SSL).
Tested canonical UV mutation features for clustering datasets and identifying a confirmed UV signature.
Evaluated the application of other canonical features and developed a robust classifier combining multiple criteria.

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Last Updated: Apr 21, 2026

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

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Published on: September 20, 2016

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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Published on: February 3, 2023

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

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Main Results:

A confirmed UV signature requires ≥60% C→T mutations at dipyrimidine sites, with ≥5% CC→TT mutations.
Other canonical features like strand bias had limited application.
A robust classifier combined UV signature features with criteria for the rarity of non-UV canonical mutations.

Conclusions:

Established specific criteria for a confirmed UV mutation signature, aiding in carcinogen identification.
Highlighted limitations of previously proposed UV signatures and noted potential complexities in real-world scenarios.
Suggested that UV's nonsignature mutations may contribute to melanoma BRAF mutations and that sunlight mutagens can vary geographically.