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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...
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
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...
Evolution of New Traits in Microbes01:24

Evolution of New Traits in Microbes

Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
Genetic Drift03:33

Genetic Drift

Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.

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関連する実験動画

Updated: May 11, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

開発ベースのゲノタイプ・フェノタイプマップの下での適応力学.

Isaac Salazar-Ciudad1, Miquel Marín-Riera

  • 1Evolutionary phenomics group. Developmental Biology Program, Institute of Biotechnology, University of Helsinki, PO Box 56, FIN-00014 Helsinki, Finland. isaac.salazar@uab.cat

Nature
|May 3, 2013
PubMed
まとめ
この要約は機械生成です。

発達の複雑さは自然選択を制限する.

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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

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Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers (MADM)
09:25

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers (MADM)

Published on: May 8, 2020

関連する実験動画

Last Updated: May 11, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers (MADM)
09:25

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers (MADM)

Published on: May 8, 2020

科学分野:

  • 進化生物学の進化生物学について
  • 発達生物学 発達生物学とは
  • 遺伝学 遺伝学とは

背景:

  • 自然選択がフェノタイプを最適化できる程度は,未だに議論されている.
  • 発達過程は適応の限界に影響を与える可能性があります.
  • 遺伝子型適合マップの理解は,進化論の研究において極めて重要です.

研究 の 目的:

  • 発達過程が適応にどのように影響するか調査する.
  • ゲノタイプ-フィットネスマップをゲノタイプ-フェノタイプとフェノタイプ-フィットネスコンポーネントに分解する.
  • どのフェノタイプ適合マップの複雑性が持続的な適応を可能にするかを決定する.

主な方法:

  • 臓器発達の計算モデルを使用して,遺伝子型-フェノタイプマップを作成しました.
  • 3つの異なる現象型適合マップが使用されました:"多くの特徴"",いくつかの特徴"および"粗さ".
  • 進化は,変異,漂流,そして組み合わせた地図を使ってシミュレートされました.

主要な成果:

  • ゲノタイプ-フェノタイプマップの複雑さは,適応を著しく制限する.
  • 持続的な適応は,フェノタイプ・フィットネス・マップの"粗度"と"少数の特徴"でのみ観察された.
  • "多くの特徴"のマップは,発達的複雑さによる適応の可能性が限られていることを示した.

結論:

  • 開発プロセスは,適応的な景観を形作る上で重要な役割を果たします.
  • フェノタイプを最適化するための自然選択の能力は,フェノタイプフィットネスマップの構造に依存しています.
  • この研究は,進化的最適化の限界についての発達的な洞察を提供します.