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相关概念视频

Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

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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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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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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.
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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...
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Hardy-Weinberg Principle01:49

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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
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概括

这项研究引入了一种新的统计方法,用于在多个环境中的多父母种群中分析定量性质位点 (QTL). 该方法有效地检测出一致和环境特定的QTL,改进了遗传和育种研究.

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科学领域:

  • 定量遗传学 是一种定量遗传学.
  • 植物和动物育种.
  • 统计基因组学 统计基因组学

背景情况:

  • 多父母种群 (MPPs) 为遗传研究提供了遗传多样性和受控结构.
  • 现有的定量特征位置 (QTL) 映射方法主要集中在单个环境上,忽视了QTL-by-environment交互 (QEIs).
  • 需要强大的方法来分析多环境试验 (MET) 和模型 QEI 中的 QTL.

研究的目的:

  • 在MPP中开发和介绍混合模型方法,以检测和建模一致的与环境依赖的QTL (QEIs).
  • 提供适用于各种MPP设计和MET数据的灵活框架.
  • 在复杂的育种计划中提高QTL映射的准确性和范围.

主要方法:

  • 使用具有正常分布的QTL效应的混合模型,包括一致性和环境/家庭依赖性的差异.
  • 在设计矩阵中,从父母的起源得出的雇员身份-按-后裔 (IBD) 概率.
  • 综合多基因效应以考虑背景遗传变异.

主要成果:

  • 成功地检测和建模了来自METs的多种MPP数据集 (diallel,NAM,MAGIC) 的一致和环境依赖的QTL.
  • 证明了该方法能够处理复杂的遗传结构和环境影响的能力.
  • 与现有的,专门的QTL映射方法取得了有利的比较.

结论:

  • 拟议的混合模型方法为在MET条件下的MPP中进行QTL和QEI分析提供了一个强大而通用的工具.
  • 这种方法增强了对基因型与环境相互作用的理解,这对于开发强壮的作物品种和牲畜至关重要.
  • 该方法具有广泛的适用性,并且比单个环境的QTL映射提供了显著的进步.