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SynthHotSpot SIGNED

Synthesizing Meiotic Crossover Hotspots in Arabidopsis

Total Cost €

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EC-Contrib. €

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 SynthHotSpot project word cloud

Explore the words cloud of the SynthHotSpot project. It provides you a very rough idea of what is the project "SynthHotSpot" about.

hotspots    signatures    patterning    profile    diversity    crossovers    sexual    repeat    cas9    crossover    detecting    pair    profound    chromosomal    chromatin    definitive    meiosis    individual    dna    understand    dissect    species    epigenetic    ctt    direct    directing    structures    final    silence    distributions    force    engineering    epigenetically    tools    crispr    genetics    random    correct    novo    termed    chromosomes    recombination    undergo    proteins    combined    sequence    amplification    technologies    arabidopsis    fine    genetic    natural    sequencing    resolution    reproduce    models    revealed    talens    mapping    recombinant    reciprocal    eukaryotes    editing    meiotic    versus    loci    effect    first    strategic    driving    extensive    accelerate    sexually    methylation    rationally    molecules    polymorphisms    de    breeding    homologous    crops    genomics    genome    majority    locations    comprehensively    patterns    proof    limiting    gamete    combinations    hotspot    motifs    functional    narrow    delete    exchange    evolutionary   

Project "SynthHotSpot" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE 

Organization address
address: TRINITY LANE THE OLD SCHOOLS
city: CAMBRIDGE
postcode: CB2 1TN
website: www.cam.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://www.plantsci.cam.ac.uk/directory/henderson-ian
 Total cost 1˙999˙953 €
 EC max contribution 1˙999˙953 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) coordinator 1˙999˙953.00

Map

 Project objective

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.

 Publications

year authors and title journal last update
List of publications.
2018 Heïdi Serra, Kyuha Choi, Xiaohui Zhao, Alexander R. Blackwell, Juhyun Kim, Ian R. Henderson
Interhomolog polymorphism shapes meiotic crossover within the Arabidopsis RAC1 and RPP13 disease resistance genes
published pages: e1007843, ISSN: 1553-7404, DOI: 10.1371/journal.pgen.1007843
PLOS Genetics 14/12 2020-01-22
2018 Kyuha Choi, Xiaohui Zhao, Andrew J. Tock, Christophe Lambing, Charles J. Underwood, Thomas J. Hardcastle, Heïdi Serra, Juhyun Kim, Hyun Seob Cho, Jaeil Kim, Piotr A. Ziolkowski, Nataliya E. Yelina, Ildoo Hwang, Robert A. Martienssen, Ian R. Henderson
Nucleosomes and DNA methylation shape meiotic DSB frequency in Arabidopsis thaliana transposons and gene regulatory regions
published pages: 532-546, ISSN: 1088-9051, DOI: 10.1101/gr.225599.117
Genome Research 28/4 2020-01-22
2018 Charles J. Underwood, Kyuha Choi, Christophe Lambing, Xiaohui Zhao, Heïdi Serra, Filipe Borges, Joe Simorowski, Evan Ernst, Yannick Jacob, Ian R. Henderson, Robert A. Martienssen
Epigenetic activation of meiotic recombination near Arabidopsis thaliana centromeres via loss of H3K9me2 and non-CG DNA methylation
published pages: 519-531, ISSN: 1088-9051, DOI: 10.1101/gr.227116.117
Genome Research 28/4 2020-01-22
2018 Heïdi Serra, Christophe Lambing, Catherine H. Griffin, Stephanie D. Topp, Divyashree C. Nageswaran, Charles J. Underwood, Piotr A. Ziolkowski, Mathilde Séguéla-Arnaud, Joiselle B. Fernandes, Raphaël Mercier, Ian R. Henderson
Massive crossover elevation via combination of HEI10 and recq4a recq4b during Arabidopsis meiosis
published pages: 2437-2442, ISSN: 0027-8424, DOI: 10.1073/pnas.1713071115
Proceedings of the National Academy of Sciences 115/10 2020-01-22

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