1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana
- Author(s)
- Carlos Alonso-Blanco, Jorge Andrade, Claude Becker, Felix Bemm, Joy Bergelson, Karsten M. Borgwardt, Jun Cao, Eunyoung Chae, Todd M. Dezwaan, Wei Ding, Joseph R. Ecker, Moises Exposito-Alonso, Ashley Farlow, Joffrey Fitz, Xiangchao Gan, Dominik G. Grimm, Angela M. Hancock, Stefan R. Henz, Svante Holm, Matthew Horton, Mike Jarsulic, Randall A. Kerstetter, Arthur Korte, Pamela Korte, Christa Lanz, Cheng-Ruei Lee, Dazhe Meng, Todd P. Michael, Richard Mott, Ni Wayan Muliyati, Thomas Nägele, Matthias Nagler, Viktoria Nizhynska, Magnus Nordborg, Polina Yu. Novikova, F. Xavier Pico, Alexander Platzer, Fernando A. Rabanal, Alex Rodriguez, Beth A. Rowan, Patrice A. Salome, Karl J. Schmid, Robert J. Schmitz, Umit Seren, Felice Gianluca Sperone, Mitchell Sudkamp, Hannes Svardal, Matt M. Tanzer, Donald Todd, Wolfram Weckwerth,
- Abstract
Arabidopsis thaliana serves as a model organism for the study of fundamental physiological, cellular, and molecular processes. It has also greatly advanced
our understanding of intraspecific genome variation. We present a detailed map of variation in 1,135 high-quality re-sequenced natural inbred lines representingthe native Eurasian and North African range and recently colonized North America. We identify relict populations that continue to inhabit ancestral habitats, primarily in the Iberian Peninsula. They have mixed with a lineage that has spread to northern latitudes from an unknown glacial refugium and is now found in a much broader spectrum of habitats. Insights into the history of the species and the finescale distribution of genetic diversity provide the basis for full exploitation of A. thaliana natural variation through integration of genomes and epigenomes with molecular and non-molecular phenotypes.- Organisation(s)
- Department of Biochemistry and Cell Biology, Department of Botany and Biodiversity Research, Department of Mathematics, Research Platform Vienna Metabolomics Center
- External organisation(s)
- Max-Planck-Institut für Entwicklungsbiologie
- Journal
- Cell
- Volume
- 166
- Pages
- 481-491
- No. of pages
- 11
- ISSN
- 0092-8674
- DOI
- https://doi.org/10.1016/j.cell.2016.05.063
- Publication date
- 07-2016
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 106005 Bioinformatics, 106013 Genetics, 106036 Population genetics
- Keywords
- ASJC Scopus subject areas
- General Biochemistry,Genetics and Molecular Biology
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/e8a0337c-0241-4041-b78a-846cae350f32