Genomic Diversity and the Architectures of Adaptation and Incompatibility
Genomic Diversity and the Architectures of Adaptation and Incompatibility
批准号:
10368935
负责人:
JOHN E POOL
金额:
$22.88万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-04-01 至 2025-03-31
关键词:
AddressAfricanArchitectureConsequentialismDiseaseDrosophila genusEuropeanEvolutionFutureGenerationsGenesGeneticGenetic DriftGenetic EpistasisGenetic VariationGenetic studyGenomeGenomicsHeart DiseasesImmuneIndividualInfertilityMedicalNatural SelectionsPenetrancePerformancePopulationPortraitsProcessReproductionResearchRoleShapesSignal TransductionSpontaneous abortionSystemTimeTransgenic OrganismsVariantWorkcomputer studiescost effectivediabetes riskdisorder riskexperimental studygenetic architecturegenetic resourcegenetic variantgenomic datahuman diseaseinsect disease vectornovel strategiesprogramsreproductivescale uptooltrait
中文摘要
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英文摘要
Project Summary: Genomic Diversity and the Architectures of Adaptation and Incompatibility
This research program addresses fundamental yet unresolved questions at the interface between genetic
variation and evolutionary processes. In particular, it focuses on three interconnected research themes: (1)
The Genetic Complexity of Adaptive Trait Evolution, (2) The Genetic Basis of Early Stage Reproductive
Isolation, and (3) The Determinants of Genomic Diversity and Adaptive Potential. It fuses ambitious but
cost-effective Drosophila experiments with novel approaches to the analysis of large genomic data sets.
D. melanogaster offers critical advantages for this work. The global expansion of this species enables the
study of adaptive trait differences, and partial reproductive isolation, between populations that diverged in the
last ~10,000 years. Due to this recent time-scale, adaptive differences may be detected from genetic variation.
The experimental efficiency of Drosophila allows the study of large lab populations across many generations.
Its compact genome allows economical sequencing. Once relevant genes are found, functional confirmation
and study are aided by a well-annotated genome and a wealth of genetic resources and transgenic tools.
This research will bolster understanding of The Genetic Complexity of Adaptive Trait Evolution. Initial
findings have suggested a portrait of adaptation that often begins with standing genetic variation, includes
variants with larger effect sizes, and features variable genetic architectures among individuals. Proposed work
will solidify and extend these inferences in multiple respects, including by launching scaled-up mapping studies
for a wider range of adaptive traits, and pursuing previous hints of epistasis involving adaptive variants.
Proposed work will also open up a promising new system for studying The Genetic Basis of Early Stage
Reproductive Isolation. African and European D. melanogaster show evidence of incompatibilities impacting
viability and reproduction, but these have received no genetic study. This research will deploy a combination
of incompatibility mapping and population genomics to identify specific incompatibility genes for further study,
and it will advance understanding of the genetic architecture of the earliest stages of reproductive isolation.
Finally, this research will clarify The Determinants of Genomic Diversity and Adaptive Potential. This
work will feature experimental and computational studies on the relative roles of neutral and adaptive genetic
diversity in future adaptation, and the most relevant ways to quantify each. It will also investigate the relative
importance of different types of natural selection in shaping genomic diversity, including by probing the utility of
genetic differentiation between populations to separate the signals of positive and negative selection.
Collectively, this research is highly consequential for basic evolutionary genetics. It also holds strong
medical relevance in terms of the relevance of local adaptation and epistasis for the genetic basis of human
disease and infertility, and for understanding the evolutionary dynamics of insect disease vectors.
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Genomic Diversity and the Architectures of Adaptation and Incompatibility
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批准号:10593052
-
项目类别:
-
资助金额:$38.03万
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财政年份:2020
-
负责人:JOHN E POOL
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依托单位:
Unraveling the Molecular and Population Genetic Complexity of Adaptive Trait Evolution
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批准号:10343824
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项目类别:
-
资助金额:$32.01万
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财政年份:2019
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负责人:JOHN E POOL
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依托单位:
Unraveling the Molecular and Population Genetic Complexity of Adaptive Trait Evolution
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批准号:9901541
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项目类别:
-
资助金额:$32.39万
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财政年份:2019
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负责人:JOHN E POOL
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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
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财政年份:2014
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负责人:JOHN E POOL
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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
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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:9057098
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项目类别:
-
资助金额:$32.21万
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财政年份:2014
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负责人:JOHN E POOL
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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
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财政年份:2006
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负责人:JOHN E POOL
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依托单位:
The use of recombining genetic markers for demographic inference
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批准号:7320276
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项目类别:
-
资助金额:$0.49万
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财政年份:2006
-
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:7626005
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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
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批准号:7293413
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项目类别:
-
资助金额:$0.7万
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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
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项目类别:
-
资助金额:$3.76万
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财政年份:2006
-
负责人:JOHN E POOL
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依托单位:
海外基金