Epigenomic Diversity in a Global Collection of Arabidopsis thaliana Accessions
Author(s) -
Taiji Kawakatsu,
Shaoshan Carol Huang,
Florian Jupe,
Eriko Sasaki,
Robert J. Schmitz,
Mark A. Urich,
Rosa Casta,
Joseph R. Nery,
Cesar Barragan,
Yupeng He,
Huaming Chen,
Manu Dubin,
ChengRuei Lee,
Congmao Wang,
Felix Bemm,
Claude Becker,
Ryan C. O’Neil,
Ronan C. O’Malley,
Danjuma Quarless,
Nicholas J. Schork,
Detlef Weigel,
Magnus Nordborg,
Joseph R. Ecker,
Carlos AlonsoBlanco,
Jorge Andrade,
Joy Bergelson,
Karsten Borgwardt,
Eunyoung Chae,
Todd M. DeZwaan,
Ding Wei,
Moisés ExpósitoAlonso,
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,
Chen-Ruei Lee,
Dazhe Meng,
Todd P. Michael,
Richard Mott,
Ni Wayan Muliyati,
Thomas Nägele,
Matthias Nagler,
Viktoria Nizhynska,
Poliovikova,
F. Xavier Picó,
Alexander Platzer,
Fernando A. Rabanal,
Álex Rodríguez,
Beth A. Rowan,
Patrice A. Salomé,
Karl Schmid,
Ümit Seren,
F. Gianluca Sperone,
Mitchell Sudkamp,
Hannes Svardal,
Matt M. Tanzer,
Donald Todd,
Samuel L. Volchenboum,
George Wang,
Xi Wang,
Wolfram Weckwerth,
Xuefeng Zhou
Publication year - 2016
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2016.06.044
Subject(s) - biology , epigenome , epigenomics , dna methylation , epigenetics , genetics , genome , computational biology , differentially methylated regions , structural variation , transposable element , arabidopsis thaliana , rna directed dna methylation , arabidopsis , gene , gene expression , mutant
The epigenome orchestrates genome accessibility, functionality, and three-dimensional structure. Because epigenetic variation can impact transcription and thus phenotypes, it may contribute to adaptation. Here, we report 1,107 high-quality single-base resolution methylomes and 1,203 transcriptomes from the 1001 Genomes collection of Arabidopsis thaliana. Although the genetic basis of methylation variation is highly complex, geographic origin is a major predictor of genome-wide DNA methylation levels and of altered gene expression caused by epialleles. Comparison to cistrome and epicistrome datasets identifies associations between transcription factor binding sites, methylation, nucleotide variation, and co-expression modules. Physical maps for nine of the most diverse genomes reveal how transposons and other structural variants shape the epigenome, with dramatic effects on immunity genes. The 1001 Epigenomes Project provides a comprehensive resource for understanding how variation in DNA methylation contributes to molecular and non-molecular phenotypes in natural populations of the most studied model plant.
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