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

Population genetics without intraspecific data.

Jeffrey L Thorne1, Sang Chul Choi, Jiaye Yu

  • 1Wissenschaftskolleg zu Berlin, Institute for Advanced Study, Berlin, Germany. thorne@statgen.ncsu.edu

Molecular Biology and Evolution
|May 2, 2007
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

Using drift coefficients as a basis for inferring times, effective population sizes, and genetic adaptations.

Molecular biology and evolution·2026
Same author

Sequence patterns in RNA replication via the virtual circular genome mechanism.

Nucleic acids research·2026
Same author

Photocatalytic generation of amidine carbon radicals for aminodihydroquinoline synthesis.

Nature communications·2025
Same author

A Tandem-Responsive Probe for Dual-Enzyme Photoacoustic Imaging of Atherosclerotic Plaque in Vivo.

Analytical chemistry·2025
Same author

Towards molecular evolutionary epigenomics with an expanded nucleotide code involving methylated bases.

DNA research : an international journal for rapid publication of reports on genes and genomes·2025
Same author

A Novel Open-Loop Current Sensor Based on Multiple Spin Valve Sensors and Magnetic Shunt Effect with Position Deviation Calibration.

Micromachines·2025
Same journal

Segmentally Duplicated Regulatory Elements Undergo Human-Specific Rewiring.

Molecular biology and evolution·2026
Same journal

The life history of recessive deleterious alleles as seen through the eyes of a honey bee (Apis mellifera).

Molecular biology and evolution·2026
Same journal

Severe bottleneck of ancient Homo populations: Insights from computational modeling and relevant fossil evidence.

Molecular biology and evolution·2026
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
See all related articles

Computational biology predicts phenotype from sequence data. This study links interspecific evolutionary models to population genetics, showing RNA and protein structures impact sequence evolution.

Area of Science:

  • Computational Biology
  • Evolutionary Biology
  • Population Genetics
  • Bioinformatics

Background:

  • Predicting phenotype from DNA and protein sequences is a key challenge in computational biology.
  • Current models often use in silico systems to link phenotype to evolutionary rates across species.
  • These interspecific models face challenges in interpretation due to the population-level nature of evolution.

Purpose of the Study:

  • To demonstrate how population genetic interpretations can be assigned to interspecific evolutionary models.
  • To bridge the gap between models of sequence change across species and the underlying population dynamics.
  • To argue for biologically plausible interpretations beyond statistical fit in evolutionary modeling.

Main Methods:

Related Experiment Videos

  • Development and application of evolutionary models incorporating phenotype.
  • Statistical techniques for parameter estimation with position-dependent sequence changes.
  • Case studies examining the influence of RNA secondary and protein tertiary structures on sequence evolution.

Main Results:

  • Population genetic interpretations were successfully assigned to evolutionary models.
  • The impact of RNA secondary structure on sequence change was analyzed.
  • The influence of protein tertiary structure on nonsynonymous substitution rates was investigated.

Conclusions:

  • Interspecific evolutionary models should possess clear, biologically plausible population genetic interpretations.
  • Statistical model fit alone is insufficient; biological interpretability is crucial for assessing evolutionary models.
  • Linking sequence evolution to population genetics enhances understanding of molecular evolution.