Collaborative Research: The impacts of the distribution of phenotypic effects and the distribution of pleiotropic costs on the genetics of natural adaptations

合作研究：表型效应的分布和多效性成本的分布对自然适应遗传学的影响

• 批准号: 1457707
• 负责人: Corbin Jones
• 金额: $ 60万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1457707&HistoricalAwards=false
• 关键词: Collaborative; Research; impacts; distribution; phenotypic

Genes do not operate alone. They function as parts of large gene networks that work together to produce the organism traits we observe (phenotypes). However, not all genes contribute equally to a network and some genes may contribute to multiple traits. This difference among genes suggests that some genetic changes may have more impact than others; changes in a gene that has a large role in several traits presumably has more effect than changing a gene with a relatively minor role in a single trait. In general, large effect changes are thought to be bad for an organism. However, when that organism faces a strong evolutionary challenge, for example, an exposure to a pesticide or drug, eating a new food, encountering a pathogen, these large effect changes may be the only hope for its survival. This research will test hypotheses concerning the nature and predictability of evolving adaptive phenotypes by examining the phenotypic costs of genes having varying degrees of network interaction. This project will also provide hands-on training for students from underrepresented groups in key molecular and evolutionary concepts. This project tests the hypothesis that some genes, such as those that are central in networks, may be genetic 'hotspots' of trait evolution. To test this idea, this project uses the well-described fruit fly (Drosophila) olfactory system as a model genetic network. In flies, as with humans, the olfactory system evolves rapidly and is directly tied to some adaptations. Cutting edge genomic sequencing, analysis of chemosensory gene evolution, and ultrafine scale morphological analysis will be used to test whether adaptive ecological shifts are predictably associated with particular types of changes in the olfactory system. These predictions will then be tested on olfactory related phenotypes using the powerful genetic tools available in Drosophila.

基因不是单独运作的。 它们作为大型基因网络的一部分发挥作用，共同产生我们观察到的生物特征（表型）。 然而，并不是所有的基因都对网络做出了同等的贡献，有些基因可能对多个性状做出贡献。 基因之间的这种差异表明，某些遗传变化可能比其他变化产生更大的影响;在几个性状中起重要作用的基因的变化可能比在单个性状中起相对较小作用的基因的变化更有效。一般来说，大的影响变化被认为对生物体不利。然而，当生物体面临强大的进化挑战时，例如，接触杀虫剂或药物，吃新食物，遇到病原体，这些大的影响变化可能是其生存的唯一希望。本研究将通过研究具有不同程度网络相互作用的基因的表型成本来测试关于进化适应表型的性质和可预测性的假设。该项目还将为来自代表性不足群体的学生提供关键分子和进化概念的实践培训。该项目测试了这样一个假设，即某些基因，例如那些在网络中处于中心位置的基因，可能是性状进化的遗传“热点”。为了验证这一想法，该项目使用描述良好的果蝇（果蝇）嗅觉系统作为模型遗传网络。苍蝇和人类一样，嗅觉系统进化迅速，并与某些适应性直接相关。尖端的基因组测序，化学传感基因进化的分析，和超细尺度的形态学分析将被用来测试是否适应性生态变化与嗅觉系统的特定类型的变化是可预测的。这些预测，然后将测试嗅觉相关的表型使用强大的遗传工具，在果蝇。