Unraveling the Molecular and Population Genetic Complexity of Adaptive Trait Evolution
Unraveling the Molecular and Population Genetic Complexity of Adaptive Trait Evolution
批准号:
9901541
负责人:
JOHN E POOL
金额:
$32.39万
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:
已结题
起止时间:
2019-04-01 至 2023-02-28
关键词:
AbdomenAfricanAllelesAltitudeBiological AssayBiological ModelsBiologyCRISPR/Cas technologyCandidate Disease GeneCase StudyChromosome MappingColorComplementComplexDataDiabetes MellitusDiseaseDissectionDrosophila genusDrosophila melanogasterEnzymesEthiopiaEthiopianEvolutionGene Expression RegulationGenesGeneticGenetic Complementation TestGenetic DriftGenetic EpistasisGenetic HeterogeneityGenetic Predisposition to DiseaseGenetic VariationGenetic studyGenomeGenomic SegmentGenomicsGoalsGrainHeart DiseasesHumanInbreedingInvestigationKnowledgeLightLogicMelanosisMethodsModelingModernizationMolecularMolecular GeneticsMutationNatural SelectionsNatureParticipantPhenotypePigmentation physiologic functionPlayPopulationPopulation GeneticsPrevalenceProcessPropertyQuantitative Trait LociRecombinantsRecurrenceResearchResearch PersonnelResearch Project SummariesResolutionResourcesRoleSystemTestingTimeTissuesTransgenic OrganismsUV protectionVariantWorkcausal variantexperimental studygenetic architecturegenetic variantgenome editinggenome wide association studygenomic variationhuman diseaseimprovedinsightnovelpersonalized genomic medicinepredictive testresponseskillstraittranscription factortranscriptome sequencing
中文摘要
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英文摘要
Project Summary
This research aims for a deeper and more nuanced understanding of the genetics of adaptation than
has been possible to date. While many trait-associated variants have now been detected by genome-wide
association studies, very few of these SNPs have been directly connected to adaptive phenotypes, and the
genetic interactions that govern whether their effects are visible to selection. Such knowledge is crucial to
composing realistic and testable models for how widespread standing genetic variation within populations is
funneled through the sieve of natural selection.
The evolution of melanism in high altitude Drosophila melanogaster populations offers several
critical advantages for this endeavor. First, the species offers key functional genetic and population
genomic resources, along with a well-annotated genome. Second, prior molecular and evolutionary studies
have provided strong background knowledge on the trait, including a compelling set of candidate genes. Third,
the study of recent adaptive evolution between populations of the same species maximizes the utility of genetic
mapping, population genetics, and functional comparisons of alleles. These features will allow the dissection
of this model adaptive trait in unparalleled detail, yielding insights regarding:
1. the functional nature of causative variants,
2. genetic variability of the adaptive response,
3. the prevalence and molecular logic of epistasis among adaptive variants,
4. roles of cryptic variation in adaptive change,
5. the importance of standing genetic variation in trait evolution.
Results of this research will advance basic understanding of the adaptive evolutionary process. It will
also inform on the importance of genetic background in assessing the phenotypic impact of genetic variants, a
key step in understanding the genetic architecture of complex traits including human disease. Investigation of
these critical topics will be bolstered by a profoundly integrative research plan that leverages the investigators'
complementary backgrounds to fuse novel molecular experiments, genomic analysis, and statistical inference.
This research will identify genetic variants underlying melanic adaptation in Ethiopian D. melanogaster,
fusing genomic mapping and variation analysis with transgenic tests to pinpoint causative changes (Aim 1). It
will also advance beyond that goal to reveal the complex interactions that modulate the phenotypic impact of
causative variants (Aim 2), examining tissue- and population-specific gene regulation, and non-additive
interactions among melanic variants. These investigations will provide a critical case study that will clarify the
complexity of adaptive trait evolution at molecular and genetic levels.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Genomic Diversity and the Architectures of Adaptation and Incompatibility
-
批准号:10368935
-
项目类别:
-
资助金额:$22.88万
-
财政年份:2020
-
负责人:JOHN E POOL
-
依托单位:
Genomic Diversity and the Architectures of Adaptation and Incompatibility
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批准号:10593052
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项目类别:
-
资助金额:$38.03万
-
财政年份:2020
-
负责人:JOHN E POOL
-
依托单位:
Unraveling the Molecular and Population Genetic Complexity of Adaptive Trait Evolution
-
批准号:10343824
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项目类别:
-
资助金额:$32.01万
-
财政年份:2019
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负责人:JOHN E POOL
-
依托单位:
Causes and Consequences of Size Evolution in Drosophila melanogaster
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批准号:8764876
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项目类别:
-
资助金额:$24.77万
-
财政年份:2014
-
负责人:JOHN E POOL
-
依托单位:
Causes and Consequences of Size Evolution in Drosophila melanogaster
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批准号:9269111
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项目类别:
-
资助金额:$27.97万
-
财政年份:2014
-
负责人:JOHN E POOL
-
依托单位:
Causes and Consequences of Size Evolution in Drosophila melanogaster
-
批准号:9057098
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项目类别:
-
资助金额:$32.21万
-
财政年份:2014
-
负责人:JOHN E POOL
-
依托单位:
The use of recombining genetic markers for demographic inference
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批准号:7563644
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项目类别:
-
资助金额:$4.11万
-
财政年份:2006
-
负责人:JOHN E POOL
-
依托单位:
The use of recombining genetic markers for demographic inference
-
批准号:7320276
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项目类别:
-
资助金额:$0.49万
-
财政年份:2006
-
负责人:JOHN E POOL
-
依托单位:
The use of recombining genetic markers for demographic inference
-
批准号:7626005
-
项目类别:
-
资助金额:$4.88万
-
财政年份:2006
-
负责人:JOHN E POOL
-
依托单位:
The use of recombining genetic markers for demographic inference
-
批准号:7293413
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项目类别:
-
资助金额:$0.7万
-
财政年份:2006
-
负责人:JOHN E POOL
-
依托单位:
The use of recombining genetic markers for demographic inference
-
批准号:7220916
-
项目类别:
-
资助金额:$3.76万
-
财政年份:2006
-
负责人:JOHN E POOL
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依托单位:
海外基金