Yeast as a model for understanding gene expression adaptation
酵母作为理解基因表达适应的模型
基本信息
- 批准号:9353830
- 负责人:
- 金额:$ 31.38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-02-05 至 2020-07-31
- 项目状态:已结题
- 来源:
- 关键词:Acquired Immunodeficiency SyndromeAddressAffectAllelesAmazeAmino Acid SequenceAmphotericin BAnabolismAntifungal AgentsBiologyCRISPR/Cas technologyCandidate Disease GeneCellsChromosome MappingClustered Regularly Interspaced Short Palindromic RepeatsCodeCollectionData SetDatabasesDemographyDown-RegulationDrug resistanceEmerging Communicable DiseasesEnvironmentEnzymesErgosterolEvolutionFutureGene ExpressionGenesGeneticGenetic DriftGenome ScanGenotypeGoalsHealthHumanHybridsImmuneIndividualInvestigationLeadLifeLoss of HeterozygosityMeasuresMethodsMitotic RecombinationModelingMolecularMutationNatural SelectionsPathogenicityPathway interactionsPatientsPatternPhenotypePopulationProcessProteinsQuantitative Trait LociRepressionResistanceRoleShapesSiteSpecific qualifier valueTechnologyTestingToxinUV responseVariantWorkYeastsbasedarwinismfitnessfollow-upgene discoverygenetic variantgenome-wideinnovationpathogenprecise genome editingpromoterprotein complexprotein expressionrapid techniquespecies differencetooltraittranscription factor
项目摘要
Project Summary
Adaptation via natural selection is the process by which the incredible fit between every species
and its environment has evolved. Despite its importance, we still have little understanding of which
genetic variants have been adaptive in any species, and how these variants act at the molecular level.
One classic question is whether most adaptations involve changes in protein sequences, or in cis-
regulatory elements; another fundamental question is whether adaptations typically involve single
mutations of large effect, or many mutations of small effect.
Historically, most studies pinpointing the genetic basis of polymorphic traits have focused on
protein sequence changes of large effect, because these have been the simplest to identify. However
recent work has suggested that polygenic cis-regulatory adaptations may actually be far more common.
Unfortunately these have traditionally been almost impossible to identify, due to the very small
individual effect of each variant on the selected trait. Over the past five years, we have developed a
method to find these polygenic adaptations from genome-wide data, based on the idea of a “sign
test”. The goal is to identify cases where selection has led to up- or down-regulation of multiple
genes via independent mutations. Using this test in yeast, we have identified gene expression
adaptations involving toxin resistance, ergosterol biosynthesis, and pathogenicity. Overall, our
applications of the sign test have identified several hundred genes involved in cis-regulatory
adaptations, including the first examples of gene expression adaptation occurring at the level of
pathways and protein complexes; the first known cases of regulatory adaptations affecting
behavior and pathogenicity; and the first examples of polygenic gene expression adaptations of any
kind in house mice and humans.
In this project we have two major goals. First, we will develop computational and experimental
tools based on CRISPR/Cas9 technology that will make characterizing cis-regulatory variants far more
practical in a wide range of species. Second, we will develop methods for high-throughput mapping of
genes contributing to divergence in fitness, the key phenotype for natural selection. This project will
also lay the groundwork for future investigations into facets of gene expression evolution important to
human health, such as how gene expression evolves in both humans and their pathogens.
项目摘要
通过自然选择的适应是一个过程,通过这个过程,
它的环境也发生了变化尽管它很重要,但我们仍然对它知之甚少。
遗传变异在任何物种中都是适应性的,以及这些变异在分子水平上是如何起作用的。
一个经典的问题是,大多数适应性变化是否涉及蛋白质序列的变化,或顺式-
另一个基本问题是,适应是否通常涉及单一的
大作用的突变,或小作用的许多突变。
从历史上看,大多数针对多态性状遗传基础的研究都集中在
蛋白质序列的变化影响很大,因为这些变化最容易识别。然而
最近的研究表明,多基因顺式调节适应实际上可能更为常见。
不幸的是,这些传统上几乎是不可能识别的,由于非常小的
每个变量对所选性状的个体影响。在过去的五年里,我们开发了一个
一种从全基因组数据中发现这些多基因适应的方法,基于“符号”的想法
测试”。我们的目标是确定选择导致多个基因表达上调或下调的情况。
基因通过独立突变。在酵母中使用这种测试,我们已经确定了基因表达
包括毒素抗性、麦角固醇生物合成和致病性的适应。总体而言,我们
符号测试的应用已经确定了数百个参与顺式调节的基因,
适应,包括基因表达适应的第一个例子发生在水平,
途径和蛋白质复合物;第一个已知的情况下,调节适应影响
行为和致病性;以及任何多基因基因表达适应的第一个例子
对家鼠和人类来说都是一种。
在这个项目中,我们有两个主要目标。首先,我们将开发计算和实验
基于CRISPR/Cas9技术的工具,将使顺式调控变体的表征更加复杂。
在很多物种中都很实用。其次,我们将开发高通量映射的方法,
基因导致适应性的差异,这是自然选择的关键表型。该项目将
也为将来研究基因表达进化的各个方面奠定了基础,
人类健康,如基因表达如何在人类及其病原体中演变。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Hunter B Fraser其他文献
Hunter B Fraser的其他文献
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{{ truncateString('Hunter B Fraser', 18)}}的其他基金
Investigating human cis-regulatory evolution with hybrid iPS cells
用混合 iPS 细胞研究人类顺式调控进化
- 批准号:
10342219 - 财政年份:2022
- 资助金额:
$ 31.38万 - 项目类别:
Investigating human cis-regulatory evolution with hybrid iPS cells
用混合 iPS 细胞研究人类顺式调控进化
- 批准号:
10627747 - 财政年份:2022
- 资助金额:
$ 31.38万 - 项目类别:
High-throughput precision genome editing to characterize natural genetic variants
高通量精确基因组编辑来表征自然遗传变异
- 批准号:
10405429 - 财政年份:2019
- 资助金额:
$ 31.38万 - 项目类别:
High-throughput precision genome editing to characterize natural genetic variants
高通量精确基因组编辑来表征自然遗传变异
- 批准号:
9978846 - 财政年份:2019
- 资助金额:
$ 31.38万 - 项目类别:
High-throughput precision genome editing to characterize natural genetic variants
高通量精确基因组编辑来表征自然遗传变异
- 批准号:
10153822 - 财政年份:2019
- 资助金额:
$ 31.38万 - 项目类别:
Yeast as a model for understanding gene expression adaptation
酵母作为理解基因表达适应的模型
- 批准号:
8417659 - 财政年份:2012
- 资助金额:
$ 31.38万 - 项目类别:
Yeast as a model for understanding gene expression adaptation
酵母作为理解基因表达适应的模型
- 批准号:
9530658 - 财政年份:2012
- 资助金额:
$ 31.38万 - 项目类别:
Yeast as a model for understanding gene expression adaptation
酵母作为理解基因表达适应的模型
- 批准号:
9752991 - 财政年份:2012
- 资助金额:
$ 31.38万 - 项目类别:
Yeast as a model for understanding gene expression adaptation
酵母作为理解基因表达适应的模型
- 批准号:
9175447 - 财政年份:2012
- 资助金额:
$ 31.38万 - 项目类别:
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