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Related Concept Videos

Genetic Lingo01:11

Genetic Lingo

Overview
Trihybrid Crosses02:27

Trihybrid Crosses

Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal chance to...
Incomplete Dominance01:43

Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles, which...

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In Vivo Forward Genetic Screen to Identify Novel Neuroprotective Genes in Drosophila melanogaster
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Published on: July 11, 2019

Reverse engineering the genotype-phenotype map with natural genetic variation.

Matthew V Rockman1

  • 1Center for Genomics and Systems Biology, Department of Biology, New York University, 100 Washington Square East, New York, New York 10003, USA. mrockman@nyu.edu

Nature
|December 17, 2008
PubMed
Summary
This summary is machine-generated.

Natural genetic variation helps map genotype-phenotype relationships. By analyzing how genetic changes affect traits, researchers can infer cause-and-effect and build causal networks.

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Area of Science:

  • Genetics
  • Systems Biology
  • Bioinformatics

Background:

  • Natural genetic variation within populations is a key resource for understanding genotype-phenotype relationships.
  • Alleles act as perturbations within biological systems, influencing traits through genetic processes like recombination and segregation.

Purpose of the Study:

  • To leverage natural genetic variation to infer causal relationships between genotype and phenotype.
  • To develop models of probabilistic causal networks that map the genotype-phenotype landscape.

Main Methods:

  • Utilizing genetic crosses to randomize allele distribution in progeny.
  • Analyzing trait responses to common genetic perturbations to infer causality.
  • Building probabilistic causal networks based on observed genotype-phenotype associations.

Main Results:

  • Demonstrated that analyzing trait responses to genetic perturbations can distinguish between cause and effect.
  • Established a framework for inferring causal relationships from genetic variation data.
  • Initiated the construction of models representing the genotype-phenotype map.

Conclusions:

  • Natural genetic variation provides a powerful tool for dissecting complex genotype-phenotype relationships.
  • Probabilistic causal networks offer a promising approach to modeling the genotype-phenotype map.
  • Understanding causal links is crucial for predicting phenotypic outcomes from genetic information.