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SynthHotSpot SIGNED

Synthesizing Meiotic Crossover Hotspots in Arabidopsis

Total Cost €


EC-Contrib. €






 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.

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

Project "SynthHotSpot" data sheet

The following table provides information about the project.


Organization address
postcode: CB2 1TN

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
 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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 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.


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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