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相关概念视频

Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

6.4K
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...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Gene-Environment Interactions01:20

Gene-Environment Interactions

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Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
248
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
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Human Genetics01:28

Human Genetics

531
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
531
Epistasis Analysis01:09

Epistasis Analysis

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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...
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相关实验视频

Updated: Jun 3, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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metaGE:通过GWAS元分析研究基因型x环境相互作用.

Annaïg De Walsche1,2, Alexis Vergne3, Renaud Rincent1

  • 1Génétique Quantitative et Evolution - Le Moulon, INRAE, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France.

PLoS genetics
|January 10, 2025
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概括

这项研究引入了metaGE,一种用于分析多种条件下的植物基因型与环境相互作用的新方法. 它有助于识别影响不同环境压力下的特征的遗传因素,这对于作物改善至关重要.

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相关实验视频

Last Updated: Jun 3, 2025

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科学领域:

  • 植物遗传学 植物遗传学
  • 农业科学 农业科学
  • 生物信息学是一种生物信息学.

背景情况:

  • 由于气候变化和不断变化的农业需求,了解植物基因型与环境相互作用至关重要.
  • 多环境试验 (MET) 用于研究对环境压力的基因型反应,但通过全基因组关联研究 (GWAS) 分析这些数据是复杂的.
  • 现有的方法很难解释在各种环境条件下变化的定量特征位置 (QTL) 影响.

研究的目的:

  • 开发一种灵活高效的元分析方法,metaGE,从MET实验中共同分析单一环境GWAS.
  • 检测QTLs,其影响受到环境辅因子的影响,并解释跨环境的异质性.
  • 提供对复杂特征和环境依赖的QTL效应的遗传结构的见解.

主要方法:

  • 通过metaGE方法,对从MET数据中获得的单一环境GWAS结果进行元分析.
  • 它模拟了不同环境条件下的QTL效应的异质性.
  • 通过模拟验证了性能,并应用于Arabidopsis和玉米数据集.

主要成果:

  • 在不同的环境条件下,metaGE成功地确定了Arabidopsis (开花时间) 和玉米 (产量) 的已知和新型QTL.
  • 该方法有效地检测出QTL,其影响受到竞争和干旱压力等环境因素的调节.
  • 与现有程序相比,模拟证实了metaGE的稳定性和效率.

结论:

  • metaGE提供了一种强大且计算效率高的工具,用于剖析植物中基因型与环境相互作用.
  • 该方法增强了对环境变异影响的复杂特征遗传结构的理解.
  • 统计方法作为R包提供,用于更广泛的科学应用.