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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.

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

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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