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 Concept Videos

Position-effect Variegation02:32

Position-effect Variegation

5.6K
In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
5.6K
Gene Conversion02:08

Gene Conversion

9.2K
Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
9.2K
Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

30.2K
Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
30.2K
Genome Copying Errors02:46

Genome Copying Errors

4.3K
DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
4.3K
Meiosis vs. Mitosis02:57

Meiosis vs. Mitosis

39.5K
Cell division is necessary for growth and reproduction in organisms. Mitosis aids cell growth and development by dividing somatic cells. In contrast, meiosis causes the division of germ cells and plays an essential role in sexual reproduction. Due to their unique functional requirements, mitosis and meiosis differ from each other in multiple aspects.
Before the start of mitosis and meiosis I, the cell synthesizes DNA, resulting in two homologous copies of each chromosome. DNA synthesis is...
39.5K
Mutations in Microorganisms01:18

Mutations in Microorganisms

1.2K
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,...
1.2K

You might also read

Related Articles

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

Sort by
Same author

High-throughput screening reveals mechanisms of environmental control of germination in a fungal thermophile.

mBio·2026
Same author

Signatures of Innovation and Selection in the Extremotolerant Yeast Kluyveromyces marxianus.

Genome biology and evolution·2026
Same author

Elevated lysosomal mass and enzyme activity in fibroblasts of the Mediterranean mouse Mus spretus.

Biology letters·2026
Same author

High-throughput screening reveals mechanisms of environmental control of germination in a fungal thermophile.

bioRxiv : the preprint server for biology·2026
Same author

Identifying Causal Genotype-Phenotype Relationships for Population-Sampled Parent-Child Trios.

Genetic epidemiology·2026
Same author

Coancestry superposed on admixed populations yields measures of relatedness at individual-level resolution.

PLoS computational biology·2025
Same journal

Six ways to put the public at the heart of science and policy.

Nature·2026
Same journal

The complex truth about trust in science.

Nature·2026
Same journal

Have people stopped trusting science? The data tell a surprising story.

Nature·2026
Same journal

How FAIR data are helping to build trust in science.

Nature·2026
Same journal

Scientists should recognize their own political biases to build public trust.

Nature·2026
Same journal

Harmonizing standards and resources for the medical genome.

Nature·2026
See all related articles

Related Experiment Video

Updated: May 3, 2026

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
10:08

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

13.6K

Genetic interactions between polymorphisms that affect gene expression in yeast.

Rachel B Brem1, John D Storey, Jacqueline Whittle

  • 1Program in Computational Biology, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, M2-B876, Seattle, Washington 98109, USA. rbrem@fhcrc.org

Nature
|August 5, 2005
PubMed
Summary
This summary is machine-generated.

Genetic interactions significantly influence transcript levels in yeast, with many quantitative trait loci (QTLs) missed by single-locus tests but detectable through interaction analysis.

More Related Videos

Generating a Reproducible Model of Mid-Gestational Maternal Immune Activation using PolyI:C to Study Susceptibility and Resilience in Offspring
09:09

Generating a Reproducible Model of Mid-Gestational Maternal Immune Activation using PolyI:C to Study Susceptibility and Resilience in Offspring

Published on: August 17, 2022

2.1K
Stable Isotope In-Vivo Labeling for Mass-Spectrometry Identification of Paternal Metabolites Transferred from Sperm to Oocyte During Fertilization
05:55

Stable Isotope In-Vivo Labeling for Mass-Spectrometry Identification of Paternal Metabolites Transferred from Sperm to Oocyte During Fertilization

Published on: June 17, 2025

924

Related Experiment Videos

Last Updated: May 3, 2026

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
10:08

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

13.6K
Generating a Reproducible Model of Mid-Gestational Maternal Immune Activation using PolyI:C to Study Susceptibility and Resilience in Offspring
09:09

Generating a Reproducible Model of Mid-Gestational Maternal Immune Activation using PolyI:C to Study Susceptibility and Resilience in Offspring

Published on: August 17, 2022

2.1K
Stable Isotope In-Vivo Labeling for Mass-Spectrometry Identification of Paternal Metabolites Transferred from Sperm to Oocyte During Fertilization
05:55

Stable Isotope In-Vivo Labeling for Mass-Spectrometry Identification of Paternal Metabolites Transferred from Sperm to Oocyte During Fertilization

Published on: June 17, 2025

924

Area of Science:

  • Genetics
  • Systems Biology
  • Molecular Biology

Background:

  • Genetic interactions between quantitative trait loci (QTLs) are crucial for trait inheritance.
  • The prevalence and underlying mechanisms of these interactions remain largely uncharacterized.
  • Interactions can impact the statistical power of genetic studies.

Purpose of the Study:

  • To investigate the prevalence of naturally occurring genetic interactions in yeast transcript levels.
  • To identify specific loci involved in these interactions.
  • To assess the detectability of interacting QTLs using different analytical approaches.

Main Methods:

  • Analysis of transcript levels in a cross between two Saccharomyces cerevisiae strains.
  • Genome-wide search for secondary loci interacting with primary QTLs.
  • Confirmation of identified interactions using engineered polymorphisms in isogenic strains.

Main Results:

  • Genetic interactions are estimated to be involved in the inheritance of 57% of transcripts.
  • Statistically significant interaction pairs were identified for 225 transcripts.
  • 67% of secondary interacting loci had individual effects too small for genome-wide detection.
  • A specific interaction between the mating-type locus (MAT) and GPA1 was confirmed.

Conclusions:

  • Genetic interactions are widespread in the regulation of transcript levels.
  • Many QTLs involved in transcript level variation may be missed by single-locus analyses.
  • Two-stage testing strategies accounting for interactions are essential for comprehensive genetic studies.