Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Strand asymmetries in DNA evolution

M P Francino1, H Ochman

  • 1Department of Biology, University of Rochester, NY 14627, USA. pilar@ho-lab.biology.rochester.edu

Trends in Genetics : TIG
|June 1, 1997
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effect of a multiphase dietary intervention on metabolic profile and gut microbiota composition in metabolically healthy and unhealthy obese subjects.

Clinical nutrition (Edinburgh, Scotland)·2025
Same author

Unravelling the Gut Microbiota of Cow's Milk-Allergic Infants, Their Mothers, and Their Grandmothers.

Journal of investigational allergology & clinical immunology·2022
Same author

Antibiotics and the Human Gut Microbiome: Dysbioses and Accumulation of Resistances.

Frontiers in microbiology·2016
Same author

High frequencies of antibiotic resistance genes in infants' meconium and early fecal samples.

Journal of developmental origins of health and disease·2015
Same author

Meconium microbiota types dominated by lactic acid or enteric bacteria are differentially associated with maternal eczema and respiratory problems in infants.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology·2013
Same author

Metagenomics and development of the gut microbiota in infants.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2012
Same journal

Genetic suppressors as new therapeutic targets for Mendelian diseases.

Trends in genetics : TIG·2026
Same journal

Beyond housekeeping: snRNA diversity, regulation, and human disease.

Trends in genetics : TIG·2026
Same journal

Rethinking mitochondrial metabolism: Intraindividual variability meets population constraints.

Trends in genetics : TIG·2026
Same journal

A role for epigenetics in rapid adaptation.

Trends in genetics : TIG·2026
Same journal

The myth of asexual fungi.

Trends in genetics : TIG·2026
Same journal

Rethinking molecular evolution through protein language model embeddings.

Trends in genetics : TIG·2026
See all related articles

DNA replication and transcription create distinct mutation biases between DNA strands. Transcription-associated mutation biases significantly impact bacterial gene evolution and genome-wide base composition, unlike replication biases.

Area of Science:

  • Molecular Biology
  • Genetics
  • Evolutionary Biology

Background:

  • DNA replication and transcription are fundamental biological processes.
  • These processes exhibit strand asymmetry, potentially leading to differential mutation rates.
  • Previous research has noted mutation biases but their evolutionary impact is debated.

Purpose of the Study:

  • To investigate the differential impact of DNA replication and transcription on mutation biases.
  • To determine the evolutionary consequences of strand-specific mutation biases in bacterial genomes.

Main Methods:

  • Comparative analysis of mutation rates between DNA strands during replication and transcription.
  • Examination of substitution patterns in bacterial genes to identify biases.

Related Experiment Videos

  • Assessment of genome-wide base composition in relation to transcription.

    • Main Results:

    • Replication-associated mutation biases, particularly on the lagging strand, show limited evolutionary impact.
    • Transcription-associated mutation biases significantly influence substitution patterns in bacterial genes.
    • Evidence suggests transcription-driven mutation biases may affect overall genome-wide base composition.

    Conclusions:

    • Transcription-induced mutation biases are a significant driver of sequence evolution in bacteria.
    • The impact of transcription on DNA mutation patterns is more profound than that of replication.
    • Understanding these biases is crucial for comprehending genome evolution and base composition patterns.