The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline

被引:7
|
作者
Can, Sultan Nilay [1 ]
Nunn, Adam [2 ,3 ]
Galanti, Dario [4 ]
Langenberger, David [2 ]
Becker, Claude [5 ,6 ]
Volmer, Katharina [7 ]
Heer, Katrin [8 ,9 ]
Opgenoorth, Lars [10 ]
Fernandez-Pozo, Noe [1 ]
Rensing, Stefan A. [1 ,10 ,11 ]
机构
[1] Univ Marburg, Dept Biol, Plant Cell Biol, D-35043 Marburg, Germany
[2] ecSeq Bioinformat GmbH, D-04103 Leipzig, Germany
[3] Univ Leipzig, Dept Comp Sci, Bioinformat Grp, D-04107 Leipzig, Germany
[4] Univ Tubingen, Inst Evolut & Ecol, Plant Evolutionary Ecol, Morgenstelle 5, D-72076 Tubingen, Germany
[5] Austrian Acad Sci, Gregor Mendel Inst Mol Plant Biol GMI, Vienna BioCtr VBC, Dr Bohr Gasse 3, A-1030 Vienna, Austria
[6] Ludwig Maximilians Univ Munchen, Fac Biol, Genet, D-82152 Martinsried, Germany
[7] Nordwestdeutsch Forstliche Versuchsanstalt NWF FV, Dept Forest Genet Resources, D-37079 Gottingen, Germany
[8] Univ Marburg, Dept Biol, Conservat Biol, D-35043 Marburg, Germany
[9] Univ Marburg, Dept Biol, Plant Ecol & Geobot, D-35043 Marburg, Germany
[10] Univ Freiburg, Ctr Biol Signaling Studies BIOSS, D-79104 Freiburg, Germany
[11] Univ Marburg, SYNMIKRO Ctr Synthet Microbiol, D-35043 Marburg, Germany
基金
欧盟地平线“2020”;
关键词
EWAS; GWAS; plant epigenetics; DNA methylation; non-model species; pipeline; DIFFERENTIALLY METHYLATED REGIONS; DNA METHYLATION; NORWAY SPRUCE; EPIGENETIC MUTATION; R PACKAGE; GENOME; STRESS; ARABIDOPSIS; PATTERNS; INHERITANCE;
D O I
10.3390/epigenomes5020012
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Bisulfite sequencing is a widely used technique for determining DNA methylation and its relationship with epigenetics, genetics, and environmental parameters. Various techniques were implemented for epigenome-wide association studies (EWAS) to reveal meaningful associations; however, there are only very few plant studies available to date. Here, we developed the EpiDiverse EWAS pipeline and tested it using two plant datasets, from P. abies (Norway spruce) and Q. lobata (valley oak). Hence, we present an EWAS implementation tested for non-model plant species and describe its use.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Epigenome-Wide Association Studies (EWAS) in Cancer
    Verma, Mukesh
    CURRENT GENOMICS, 2012, 13 (04) : 308 - 313
  • [2] EWAS Atlas: a curated knowledgebase of epigenome-wide association studies
    Li, Mengwei
    Zou, Dong
    Li, Zhaohua
    Gao, Ran
    Sang, Jian
    Zhang, Yuansheng
    Li, Rujiao
    Xia, Lin
    Zhang, Tao
    Niu, Guangyi
    Bao, Yiming
    Zhang, Zhang
    NUCLEIC ACIDS RESEARCH, 2019, 47 (D1) : D983 - D988
  • [3] EWAS: epigenome-wide association study software 2.0
    Xu, Jing
    Zhao, Linna
    Liu, Di
    Hu, Simeng
    Song, Xiuling
    Li, Jin
    Lv, Hongchao
    Duan, Lian
    Zhang, Mingming
    Jiang, Qinghua
    Liu, Guiyou
    Jin, Shuilin
    Liao, Mingzhi
    Zhang, Meng
    Feng, Rennan
    Kong, Fanwu
    Xu, Liangde
    Jiang, Yongshuai
    BIOINFORMATICS, 2018, 34 (15) : 2657 - 2658
  • [4] Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study
    Braun, Kim V. E.
    Dhana, Klodian
    de Vries, Paul S.
    Voortman, Trudy
    van Meurs, Joyce B. J.
    Uitterlinden, Andre G.
    Hofman, Albert
    Hu, Frank B.
    Franco, Oscar H.
    Dehghan, Abbas
    CLINICAL EPIGENETICS, 2017, 9
  • [5] EPIGENOME-WIDE ASSOCIATION STUDY (EWAS) IN A PANIC DISORDER COHORT
    Iurato, Stella
    Carrillo-Roan, Tania
    Ising, Marcus
    Lucae, Susanne
    Binder, Elisabeth
    Erhardt, Angelika
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2017, 27 : S231 - S231
  • [6] Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study
    Kim V. E. Braun
    Klodian Dhana
    Paul S. de Vries
    Trudy Voortman
    Joyce B. J. van Meurs
    Andre G. Uitterlinden
    Albert Hofman
    Frank B. Hu
    Oscar H. Franco
    Abbas Dehghan
    Clinical Epigenetics, 2017, 9
  • [7] AN EPIGENOME-WIDE ASSOCIATION STUDY (EWAS) OF OBESITY-RELATED TRAITS
    Braun, Kim
    Dhana, Klodian
    Nano, Jana
    Voortman, Trudy
    van Meurs, Joyce
    Uitterlinden, Andre
    Hofman, Albert
    Franco, Oscar
    Dehghan, Abbas
    ANNALS OF NUTRITION AND METABOLISM, 2017, 71 : 287 - 287
  • [8] EWAS: epigenome-wide association studies software 1.0 – identifying the association between combinations of methylation levels and diseases
    Jing Xu
    Di Liu
    Linna Zhao
    Ying Li
    Zhaoyang Wang
    Yang Chen
    Changgui Lei
    Lin Gao
    Fanwu Kong
    Lijun Yuan
    Yongshuai Jiang
    Scientific Reports, 6
  • [9] Estimands in epigenome-wide association studies
    Kruppa, Jochen
    Sieg, Miriam
    Richter, Gesa
    Pohrt, Anne
    CLINICAL EPIGENETICS, 2021, 13 (01)
  • [10] Estimands in epigenome-wide association studies
    Jochen Kruppa
    Miriam Sieg
    Gesa Richter
    Anne Pohrt
    Clinical Epigenetics, 2021, 13