Improved methods for inference of genotype-specific response to environmental toxins
Improved methods for inference of genotype-specific response to environmental toxins
批准号:
10557856
负责人:
Julien Ayroles
金额:
$69.02万
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
项目状态:
未结题
起止时间:
2019-02-01 至 2025-01-31
关键词:
AddressAffectAllelesBehavioral AssayBiological AssayCRISPR/Cas technologyCarcinogensChromosome MappingClustered Regularly Interspaced Short Palindromic RepeatsCommunitiesComplexDNA SequenceDataDefectDiseaseDisease susceptibilityDrosophila genusDrosophila melanogasterEnvironmentEnvironmental ExposureEnvironmental PollutantsExposure toGene Expression ProfilingGenerationsGenesGeneticGenetic PolymorphismGenetic Predisposition to DiseaseGenetic TranscriptionGenetic VariationGenetic studyGenomeGenotypeHeadHealth HazardsHeavy MetalsHouseholdHumanImmuneInbred StrainIndividualKnock-inKnock-outMapsMeasuresMediatingMethodsMitochondriaModelingMolecularMutationOxidative StressOxidative Stress InductionPathway interactionsPenetrancePhenotypePopulationPredispositionProtocols documentationReactive Oxygen SpeciesResolutionResourcesRiskStressSystemTechnologyToxic Environmental SubstancesToxic effectTransgenic OrganismsVariantWorkadvanced systembiomarker identificationcarcinogenicitychromium hexavalent ioncostdesigndisorder riskdrinking waterepidemiology studyexperienceflygenetic analysisgenetic approachgenetic architecturegenome wide association studygenotoxicityimprovedindividual variationinter-individual variationknock-downneurotoxicitypollutantreproductiveresponserisk variantsuccesstraittranscriptometranscriptome sequencing
中文摘要
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英文摘要
PROJECT SUMMARY
Why do some individuals appear to be more sensitive than others to environmental perturbation? The answer to
this question has broad implications ranging from our ability to make predictions about disease risk from
genotype, to our ability to identify the drivers of inter-individual variability. Here, we propose to study the broad
question of how the interplay between genetic and environmental variation mediates disease risk
following a toxic environmental exposure. Specifically, we will examine the consequences of
environmental exposure to hexavalent chromium [Cr(VI)] a ubiquitous environmental pollutant. Cr(VI) is
a potent carcinogen and its toxicity extends far beyond its genotoxic effects, including neurotoxicity,
mitochondrial defects, immune aberrations, and reproductive defects, to list a few. Although Cr(VI) is a common
environmental and major health hazard, we know little about how genetic variation drives differential
susceptibility to its toxicity, or the molecular pathways involved. Exploring the contribution of genotype-by-
environment interactions to individual variation has been very challenging in humans. To address this problem
we created a new community resource to study the genetic basis of complex trait variation in Drosophila
melanogaster made of large, synthetic outbred populations. With this new and versatile community resource, we
can rear thousands of genetically unique flies drawn from a common genetic pool, expose them to a range of
different environments [here, Cr(VI)], and contrast the ensuing genetic architectures. We have simultaneously
developed a new high throughput protocols to sequence the DNA and assay the transcriptome of thousands of
flies at very low cost allowing for advance systems genetics analysis. Using this platform, in aim 1, we will
phenotype thousands of individual flies for a variety of traits know to be impacted by Cr(VI) exposure. This
combination of design improvements and technological advances produces a large boost in both statistical power
and genetic resolution. It allows us to ask if the shift in sensitivity some individuals experience under
environmental stress can be explained by the release of genetic susceptibility through of GxE. In aims 2, we will
use a systems genetic approach study variation in sensitivity from the perspective of the regulatory systems
disruption. Individuals more sensitive to environmental stress appear to have decreased transcriptional
robustness for many genes. This variation in robustness appears to be under genetic control and we have
developed an analytical framework to identify such context-dependent transcriptional networks and their genetic
regulators. Finally, in aim 3, we examine how environmentally sensitive alleles are background-dependent, and
what genetic factors modulate their penetrance? We will use CRISPR/Cas9 to knock-out and knock-in alleles
into targeted genes identified in aim 1 and will crossed these transgenic lines to the synthetic flies from aim 1
and the F1 progeny will be genotyped and phenotyped for Cr(VI) responses to identify modifiers.
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DOI:
10.1073/pnas.1922305118
发表时间:
2021-04-13
期刊:
Proceedings of the National Academy of Sciences of the United States of America
影响因子:
11.1
作者:
[Sheppard B, Rappoport N, Loh PR, Sanders SJ, Zaitlen N, Dahl A]
通讯作者:
Dahl A
DOI:
10.1093/g3journal/jkab404
发表时间:
2022-01-04
期刊:
G3 (Bethesda, Md.)
影响因子:
--
作者:
[Siegel DA, Le Tonqueze O, Biton A, Zaitlen N, Erle DJ]
通讯作者:
Erle DJ
DOI:
10.1101/gr.276430.121
发表时间:
2022-10
期刊:
GENOME RESEARCH
影响因子:
7
作者:
[Lea, Amanda J., Peng, Julie, Ayroles, Julien F.]
通讯作者:
Ayroles, Julien F.
Capturing continuous, long timescale behavioral changes in Drosophila melanogaster postural data.
捕获果蝇姿势数据的连续、长时间尺度的行为变化。
DOI:
--
发表时间:
2023
期刊:
ArXiv
影响因子:
--
作者:
[McKenzie-Smith,GraceC, Wolf,ScottW, Ayroles,JulienF, Shaevitz,JoshuaW]
通讯作者:
Shaevitz,JoshuaW
DOI:
10.1111/mec.15788
发表时间:
2021-03
期刊:
Molecular ecology
影响因子:
4.9
作者:
[Champer J, Kim IK, Champer SE, Clark AG, Messer PW]
通讯作者:
Messer PW
共 16 条
A path to personalized phenotypic prediction: unlocking the context-dependency of allelic effects
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批准号:9382098
-
项目类别:
-
资助金额:$37.4万
-
财政年份:2017
-
负责人:Julien Ayroles
-
依托单位:
A path to personalized phenotypic prediction: unlocking the context-dependency of allelic effects
-
批准号:10552203
-
项目类别:
-
资助金额:$43.74万
-
财政年份:2017
-
负责人:Julien Ayroles
-
依托单位:
海外基金