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Genetic and Environmental Constraints on Developmental Systems: Towards Predicting Genetic Responses to Climate Change in Sea Urchins.

机译:发育系统的遗传和环境约束:预测海胆对气候变化的遗传响应。

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摘要

Many factors, including gene networks, developmental processes, and the environment mediate the link between the activity of genes and complex phenotypes in higher organisms. While genetic variants are the raw material for evolution, these other factors are critical for determining which variants are actually exposed to natural selection. In this dissertation, I describe three projects in which I investigate how developmental mechanisms and the environment interact to shape phenotypic variation. In each project, I use gene expression as a window into the activity of genes, and as a tool to measure variation in and among developmental mechanisms. Two projects are experimental, focusing on early development in sea urchins, and how environmental stress caused by climate change impacts the expression of genetic variation in phenotypic traits. In these projects, I explicitly incorporate information about the biochemical functions of genes and how they interact in development, and test how such mechanisms shape the impact of genetic and environmental perturbations to development. The third project is methodological, in which I propose a unified statistical framework for inferring previously unknown developmental constraints that may underlie gene expression phenotypes. Together, these projects demonstrate that an understanding of developmental mechanisms can enhance our understanding of the processes that shape variation in populations, and can help predict the biological effects of climate change.
机译:许多因素,包括基因网络,发育过程和环境,介导了基因活性与高等生物中复杂表型之间的联系。尽管遗传变体是进化的原材料,但这些其他因素对于确定哪些变体实际上暴露于自然选择至关重要。在这篇论文中,我描述了三个项目,在这些项目中,我研究了发育机制和环境如何相互作用以塑造表型变异。在每个项目中,我都使用基因表达作为了解基因活性的窗口,并以此作为衡量发育机制内部和变异机制的工具。有两个项目正在进行实验,重点关注海胆的早期发育以及气候变化引起的环境压力如何影响表型性状的遗传变异表达。在这些项目中,我明确地纳入了有关基因的生化功能以及它们如何在发育中相互作用的信息,并测试了这些机制如何影响遗传和环境扰动对发育的影响。第三个项目是方法论的,其中我提出了一个统一的统计框架,用于推断可能是基因表达表型基础的先前未知的发育限制。这些项目在一起表明,对发展机制的理解可以加深我们对影响人口变化的过程的理解,并有助于预测气候变化的生物效应。

著录项

  • 作者

    Runcie, Daniel Erskine.;

  • 作者单位

    Duke University.;

  • 授予单位 Duke University.;
  • 学科 Biology.;Climate change.;Biostatistics.;Genetics.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 169 p.
  • 总页数 169
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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