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相关概念视频

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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相关实验视频

Updated: Jun 26, 2026

In Vivo Forward Genetic Screen to Identify Novel Neuroprotective Genes in Drosophila melanogaster
10:00

In Vivo Forward Genetic Screen to Identify Novel Neuroprotective Genes in Drosophila melanogaster

Published on: July 11, 2019

反向工程基因型-表型地图与自然遗传变异.

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
概括

自然遗传变异有助于绘制基因型-表型关系的地图. 通过分析遗传变化如何影响特征,研究人员可以推断因果关系并建立因果关系网络.

科学领域:

  • 遗传学 是一个遗传学.
  • 系统生物学 系统生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 种群内的自然遗传变异是理解基因型-表型关系的关键资源.
  • 同位基因在生物系统中起到扰乱作用,通过遗传过程 (如重组和分离) 影响特征.

研究的目的:

  • 利用自然遗传变异推断基因型和表型之间的因果关系.
  • 开发概率学因果网络模型,绘制基因型-表型景观的地图.

主要方法:

  • 利用遗传交叉来随机化后代中的等位基因分布.
  • 分析特征对常见遗传干扰的反应,以推断因果关系.
  • 建立基于观察到的基因型-表型关联的概率因果网络.

主要成果:

  • 证明分析特征对遗传干扰的反应可以区分因果关系.
  • 建立了一个从遗传变异数据推断因果关系的框架.
  • 启动了代表基因型-表型图的模型的构建.

结论:

  • 自然遗传变异为剖析复杂的基因型-表型关系提供了强大的工具.

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

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Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR

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  • 可能性因果网络为建模基因型-表型图提供了一个有希望的方法.
  • 了解因果关系对于从遗传信息中预测表型结果至关重要.