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

A nonlinear method for estimating nucleotide polymorphism from restriction maps

K A Rice1

  • 1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA. rice@green.harvard.educ

Molecular Biology and Evolution
|March 1, 1996
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

Neurocognitive dysfunction and pharmacological intervention using guanfacine in a rhesus macaque model of self-injurious behavior.

Translational psychiatry·2015
Same author

Analyzing large data sets: rbcL 500 revisited.

Systematic biology·2002
Same author

Growth phase and metal-dependent regulation of the dpsA gene in Synechococcus sp. strain PCC 7942, USA.

Archives of microbiology·2000
Same author

Mutability and diversity in the biological sciences: a pagan perception of nature.

Perspectives in biology and medicine·1996
Same author

Trustee development comes of age.

Trustee : the journal for hospital governing boards·1979
Same author

Trustee development program: a progress report.

Trustee : the journal for hospital governing boards·1978
Same journal

Population Epigenetics: Deciphering DNA Methylation Diversity and its Implications for Health, Disease, and Evolution.

Molecular biology and evolution·2026
Same journal

Genomic signature of repeated transitions to diurnality in spiders.

Molecular biology and evolution·2026
Same journal

Phylogenomic blind spots: The limits of UCE and BUSCO loci in the presence of gene flow.

Molecular biology and evolution·2026
Same journal

seqLens: Optimizing Language Models for Genomic Predictions.

Molecular biology and evolution·2026
Same journal

The transcriptional and translational outcomes for pseudogenes in bacterial endosymbionts.

Molecular biology and evolution·2026
Same journal

800 million years of co-evolution in the green plant lineage - the case of LEUNIG and SEUSS transcriptional co-regulators.

Molecular biology and evolution·2026
See all related articles

This study introduces a new method to estimate nucleotide polymorphism using restriction mapping. It overcomes limitations of previous methods, allowing more accurate analysis of highly divergent DNA sequences.

Area of Science:

  • Population Genetics
  • Molecular Evolution
  • Bioinformatics

Background:

  • Restriction mapping estimates nucleotide sequence polymorphism for large or numerous DNA regions, offering a cost-effective alternative to sequencing.
  • Current methods rely on the low-polymorphism-frequency assumption, limiting their ability to resolve high levels of genetic variation.
  • Accurate estimation of nucleotide polymorphism is crucial for understanding evolutionary processes and genetic diversity.

Purpose of the Study:

  • To develop and present a novel estimator for underlying nucleotide polymorphism from restriction map data.
  • To overcome the limitations of previous estimators by relaxing the low-polymorphism-frequency assumption.
  • To improve the accuracy of polymorphism estimation for highly divergent DNA sequences.

Main Methods:

Related Experiment Videos

  • Developed a new statistical estimator for nucleotide polymorphism based on restriction mapping data.
  • Relaxed the assumption that each restriction enzyme binding site contains at most one polymorphic nucleotide.
  • Evaluated the estimator's performance on data sets with varying levels of sequence divergence.

Main Results:

  • The new estimator accurately estimates underlying nucleotide polymorphism, particularly when the low-polymorphism-frequency assumption is violated.
  • It provides improved resolution for highly divergent DNA sequence data compared to existing methods.
  • The method allows for more precise analysis of genetic variation at a reduced cost.

Conclusions:

  • The developed estimator offers a more robust and accurate approach to estimating nucleotide polymorphism using restriction mapping.
  • This advancement enables the study of genetic diversity in previously intractable, highly divergent DNA regions.
  • The findings contribute to more cost-effective and high-resolution analyses in population genetics and molecular evolution.