Discovery of conserved molecular mechanisms underlying population-wide variation in toxin responses
发现人群毒素反应差异的保守分子机制
基本信息
- 批准号:10579336
- 负责人:
- 金额:$ 65.32万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-02-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:AffectAnatomyArchitectureArsenicBiological AssayBiological ModelsBreedingCRISPR/Cas technologyCaenorhabditisCaenorhabditis elegansCandidate Disease GeneCellsCharacteristicsChemical ExposureChromosome MappingDataDevelopmentDoseDrosophila genusEnsureEvolutionExposure toFeeding behaviorsFertilityFlame RetardantsGene Expression ProfilingGene Expression RegulationGene FrequencyGenesGeneticGenetic VariationGenomicsGenotypeGrowthHealthHeavy MetalsHeritabilityHumanHuman GenomeInbreedingIndividualInterventionKnowledgeLeadLearningMapsMeasurementMeasuresMetabolismMetalsMitochondriaModelingMolecularMusNematodaOrganismOutcomePathway interactionsPersonsPesticidesPhenotypePopulationPropertyQuantitative GeneticsQuantitative Trait LociRecombinantsResearchResolutionResourcesRiskRodentSchemeSignal TransductionSourceSystemTechniquesToxic Environmental SubstancesToxinVariantcomparativecostenvironmental chemicalexperimental studyfitnessgene conservationgene discoverygenetic approachgenetic resourcegenetic variantgenome editinggenome wide association studygenomic locushigh throughput screeningimprovedinnovationlife historymodel organismnext generationnovelpredicting responseresponsetherapy designtool
项目摘要
Project summary:
Exposure to environmental chemicals is a major health risk. Unfortunately, the detrimental impacts of toxin
exposure vary among individuals in a population because of unknown genetic differences. With a better
understanding of how our genetics influence toxin response, we can more accurately predict detrimental
health effects. It is difficult to identify these factors because human genome-wide association studies often
lack the necessary statistical power and controlled toxin exposures. For this reason, we will use defined
population-wide variation in the roundworm Caenorhabditis elegans to enable precise measurements of toxin
responses at the scale and statistical power of single-cell organisms but with conserved molecular, cellular,
and developmental properties of a metazoan. In Aim 1, we will identify genetic loci underlying variation in
response to 30 diverse toxins, including metals/metalloids, mitochondrial toxins, pesticides, and flame
retardants. We will define effective toxin doses across diverse individuals using low-cost, high-throughput,
and high-accuracy assays of growth and fertility. Then, we will define the population-wide variation in
response to these 30 toxins and use these data to map toxin-response differences to genes using two
mapping panels: (1) CeNDR - the C. elegans Natural Diversity Resource, a set of 500 strains representing
nearly all known genetic variation for the species, and (2) CeMEE - the C. elegans Multiparental Experimental
Evolution panel, a set of 1000 recombinant inbred lines that enable mapping to the resolution of single genes.
In Aim 2, we will identify specific genetic variants and pathways affecting toxin-response variation. We will
define causal relationships between toxin response differences and genetic variants using state-of-the-art
breeding and genome-editing techniques. Then, we will use gene expression analyses and hypothesis-
directed experiments to determine the molecular basis of toxin-response variation. In Aim 3, we will elucidate
conserved mechanisms of toxin-response variation by mapping toxin responses in two other Caenorhabditis
species that are as genetically different from each other as mice and humans. An innovative comparative
quantitative trait locus analysis will ensure identification of sources of toxin-response variation that arise
convergently (and therefore predictably) in multiple evolutionary lineages. We will extend this approach by
further comparing our mapping results to those from Drosophila, rodents, and humans, identifying conserved
pathways responsible for toxin-response variation. Our Caenorhabditis genetic resources have levels of
variation, allele frequencies, and phenotypic effects similar to humans, providing a framework to discover the
characteristics of genes and variants that underlie differences in human toxin responses. Indeed, decades of
research in C. elegans have identified countless examples of widely conserved molecular mechanisms
underlying signaling, gene regulation, and metabolism, suggesting that the toxin-response mechanisms
discovered here will extend to humans despite overt differences in life history and anatomy.
项目概要:
暴露于环境化学品是一个主要的健康风险。不幸的是毒素的有害影响
由于未知的遗传差异,人群中个体的暴露量有所不同。以更好的
了解我们的遗传如何影响毒素反应,我们可以更准确地预测有害的
健康影响。很难确定这些因素,因为人类全基因组关联研究通常
缺乏必要的统计能力和受控的毒素暴露。因此,我们将使用定义
线虫的种群范围内的变异,以实现毒素的精确测量
反应的规模和统计能力的单细胞生物体,但保守的分子,细胞,
以及后生动物的发育特性在目标1中,我们将确定遗传位点的变异,
对30种不同毒素的反应,包括金属/类金属、线粒体毒素、杀虫剂和火焰
延缓剂我们将使用低成本,高通量,
以及高精度的生长和生育力测定。然后,我们将定义人口范围内的变化,
对这30种毒素的反应,并使用这些数据来映射毒素反应差异的基因,使用两个
映射面板:(1)CeNDR -C. elegans自然多样性资源,一套500株代表
几乎所有已知的遗传变异的物种,和(2)Cephalus-C。多亲实验线虫
进化面板,一组1000个重组近交系,能够映射到单个基因的分辨率。
在目标2中,我们将确定影响毒素反应变异的特定遗传变异和途径。我们将
使用最先进的技术来确定毒素反应差异和遗传变异之间的因果关系
育种和基因组编辑技术。然后,我们将使用基因表达分析和假设-
指导实验以确定毒素反应变异的分子基础。在目标3中,我们将阐明
通过绘制另外两种小杆线虫的毒素反应图,探讨毒素反应变异的保守机制
就像老鼠和人类一样基因上彼此不同的物种。创新的比较
数量性状基因座分析将确保识别毒素反应变异的来源,
在多个进化谱系中收敛(因此是可预测的)。我们将通过以下方式扩展这种方法:
进一步比较我们的定位结果与果蝇,啮齿动物和人类的定位结果,
负责毒素反应变异的途径。我们的小杆线虫遗传资源
变异,等位基因频率和与人类相似的表型效应,提供了一个框架,以发现
基因和变异体的特征是人类毒素反应差异的基础。几十年来,
研究C.线虫已经发现了无数的广泛保守的分子机制
潜在的信号,基因调控和代谢,这表明毒素反应机制
尽管在生活史和解剖学上存在明显的差异,但在这里发现的基因将延伸到人类。
项目成果
期刊论文数量(15)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Natural variation in the sequestosome-related gene, sqst-5, underlies zinc homeostasis in Caenorhabditis elegans.
- DOI:10.1371/journal.pgen.1008986
- 发表时间:2020-11
- 期刊:
- 影响因子:4.5
- 作者:Evans KS;Zdraljevic S;Stevens L;Collins K;Tanny RE;Andersen EC
- 通讯作者:Andersen EC
easyXpress: An R package to analyze and visualize high-throughput C. elegans microscopy data generated using CellProfiler.
- DOI:10.1371/journal.pone.0252000
- 发表时间:2021
- 期刊:
- 影响因子:3.7
- 作者:Nyaanga J;Crombie TA;Widmayer SJ;Andersen EC
- 通讯作者:Andersen EC
Natural genetic variation as a tool for discovery in Caenorhabditis nematodes.
- DOI:10.1093/genetics/iyab156
- 发表时间:2022-01-04
- 期刊:
- 影响因子:3.3
- 作者:Andersen EC;Rockman MV
- 通讯作者:Rockman MV
Evaluating the power and limitations of genome-wide association studies in Caenorhabditis elegans.
- DOI:10.1093/g3journal/jkac114
- 发表时间:2022-07-06
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Using population selection and sequencing to characterize natural variation of starvation resistance in Caenorhabditis elegans.
- DOI:10.7554/elife.80204
- 发表时间:2022-06-21
- 期刊:
- 影响因子:7.7
- 作者:Webster, Amy K.;Chitrakar, Rojin;Powell, Maya;Chen, Jingxian;Fisher, Kinsey;Tanny, Robyn E.;Stevens, Lewis;Evans, Kathryn;Wei, Angela;Antoshechkin, Igor;Andersen, Erik C.;Baugh, L. Ryan
- 通讯作者:Baugh, L. Ryan
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Erik Christian Andersen其他文献
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{{ truncateString('Erik Christian Andersen', 18)}}的其他基金
Genetic and genomic tools for C. briggsae research
用于 C. briggsae 研究的遗传和基因组工具
- 批准号:
10371532 - 财政年份:2022
- 资助金额:
$ 65.32万 - 项目类别:
Genetic and genomic tools for C. briggsae research
用于 C. briggsae 研究的遗传和基因组工具
- 批准号:
10582658 - 财政年份:2022
- 资助金额:
$ 65.32万 - 项目类别:
Discovery of novel benzimidazole resistance mechanisms
发现新的苯并咪唑耐药机制
- 批准号:
10190824 - 财政年份:2020
- 资助金额:
$ 65.32万 - 项目类别:
Discovery of Novel Benzimidazole Resistance Mechanisms
新型苯并咪唑耐药机制的发现
- 批准号:
10895749 - 财政年份:2020
- 资助金额:
$ 65.32万 - 项目类别:
Discovery of novel benzimidazole resistance mechanisms
发现新的苯并咪唑耐药机制
- 批准号:
10438771 - 财政年份:2020
- 资助金额:
$ 65.32万 - 项目类别:
Discovery of novel benzimidazole resistance mechanisms
发现新的苯并咪唑耐药机制
- 批准号:
10029488 - 财政年份:2020
- 资助金额:
$ 65.32万 - 项目类别:
Discovery of conserved molecular mechanisms underlying population-wide variation in toxin responses
发现人群毒素反应差异的保守分子机制
- 批准号:
10328239 - 财政年份:2019
- 资助金额:
$ 65.32万 - 项目类别:
Discovery of conserved molecular mechanisms underlying population-wide variation in toxin responses
发现人群毒素反应差异的保守分子机制
- 批准号:
10088449 - 财政年份:2019
- 资助金额:
$ 65.32万 - 项目类别:
Large scale nutrigenetics and genomics in a tractable metazoan model
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9761523 - 财政年份:2017
- 资助金额:
$ 65.32万 - 项目类别:
Large scale nutrigenetics and genomics in a tractable metazoan model
易处理的后生动物模型中的大规模营养遗传学和基因组学
- 批准号:
9423155 - 财政年份:2017
- 资助金额:
$ 65.32万 - 项目类别:
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