SynthHotSpot
Financiado
Synthesizing Meiotic Crossover Hotspots in Arabidopsis
The majority of eukaryotes reproduce sexually via meiosis. During meiosis homologous chromosomes pair and undergo reciprocal genetic exchange termed crossover. Meiotic recombination is a major evolutionary force and has a profound...
The majority of eukaryotes reproduce sexually via meiosis. During meiosis homologous chromosomes pair and undergo reciprocal genetic exchange termed crossover. Meiotic recombination is a major evolutionary force and has a profound effect on patterns of genetic diversity in sexual species. Crossovers distributions are highly non-random and are typically focused in narrow hotspots. Study of hotspots throughout eukaryotes has revealed combinations of genetic and epigenetic factors that contribute to their distributions. In this proposal we will use the extensive genetics and genomics tools available in Arabidopsis to comprehensively dissect hotspot patterning. The strategic aim of the proposal is to use this knowledge to direct de novo hotspots to loci of choice. In the first aim we will use functional genomics to profile the chromosomal distributions of key recombination proteins and test the role of chromatin and higher-order structures in driving these patterns. In the second aim we will study individual hotspots at the fine-scale, to the resolution of individual polymorphisms, using amplification and sequencing of recombinant molecules from gamete DNA. To test genetic versus epigenetic control of hotspots we will use genome-editing to delete hotspot-associated CTT-repeat DNA sequence motifs, in addition to directing DNA methylation in order to epigenetically silence recombination. In the final aim we will use our combined knowledge of hotspot control to implement genome-editing technologies (TALENs & CRISPR-Cas9) during meiosis. This will allow us to rationally control hotspot locations, which will be definitive proof that our models for recombination control are correct. This technology will also accelerate breeding and genome-engineering of our most important crops, where recombination can be limiting. Finally, mapping hotspots will allow us to better understand patterns of natural genetic diversity, including detecting the signatures of selection.
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Duración del proyecto: 77 meses
Fecha Inicio: 2016-04-26
Fecha Fin: 2022-09-30
Fecha Fin: 2022-09-30
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2022-09-30
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-CoG-2015:
ERC Consolidator Grant
Cerrada
hace 9 años
Presupuesto
El presupuesto total del proyecto asciende a
2M€
Líder del proyecto
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Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
372.99K€ |
Participante