Nikolaos Minadakis, Hefin Williams, Robert Horvath, Danka Caković, Christoph Stritt, Michael Thieme, Yann Bourgeois, Anne C. RoulinPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
<p style="text-align: justify;">Closely related to economically important crops, the grass <em>Brachypodium distachyon</em> has been originally established as a pivotal species for grass genomics but more recently flourished as a model for developmental biology. Grasses encompass more than 10,000 species and cover more than 40% of the world land area from tropical to temperate regions. Unlocking the sources of phenotypic variation in <em>B. distachyon</em> is hence of prime interest in fundamental and applied research in agronomy, ecology and evolution. We present here the <em>B. distachyon</em> diversity panel, which encompasses 332 fully sequenced accessions covering the whole species distribution from Spain to Iraq. By combining population genetics, niche modeling and landscape genomics, we suggest that <em>B. distachyon</em> recolonized Europe and the Middle East following the last glacial maximum. Consequently, the species faced new environmental conditions which led to clear associations between bioclimatic variables and genetic factors as well as footprints of positive selection in the genome. Altogether, this genomic resource offers a powerful alternative to <em>Arabidopsis thaliana</em> to investigate the genetic bases of adaptation and phenotypic plasticity in plants and more specifically in monocots. </p>
https://www.biorxiv.org/content/10.1101/2023.06.01.543285v5.supplementary-material, https://www.ebi.ac.uk/ena/browser/view/PRJEB61986You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://
genetic diversity, local adaptation, landscape genomics, GEA, grass, Brachypodium distachyon
Evolutionary genomics, Functional genomics, Plants, Population genomics