Publications

Recent preprints

Zhang Z, Parker AH, Symeonidi A, Wilkinson SW, Stassen JHM,  Smith LM*,  Ton J*,  Johannes F*.

Multi-generational biotic stress increases the rate of spontaneous epimutations in a ROS1-dependent manner.

bioRxiv [pdf]


Marand AP, Jiang L, Gomez-Cano F, Minow MAA, Zhang X, Mendieta JP,  Luo Z, Bang S, Yan H, Meyer C, Schlegel L, Johannes F, Schmitz RJ.

The genetic architecture of cell-type-specific cis-regulation.

bioRxiv [pdf]


Zhou M, Schmied G, Bradatsch M, Resente G, Hazarika R, Kakoulidou I, Costa M, Serra M, Uhl E, Schmitz RJ, Hilmers T, Toraño Caicoya A, Crivellaro A, Pretzsch H*, Johannes F*.

Accelerated growth increases the somatic epimutation rate in trees.

bioRxiv [pdf]

2024

Tarona Caicoya A, Schmied G, Johannes F, Steinacker L, Uhl E, Pretzsch H (2024). 

Provenienzversuche im Wald: Kontinuität, Innovation und Perspectiven. 

Book chapter In J. Hamberger (Ed.), 60 Jahre Herkunftssicherung und Forschung für die Praxis am Bayerischen Amt für Waldgenetik (AWG) (pp. 292-321).


Johannes F. (2024)

Allometric scaling of somatic mutation and epimutation rates in trees.

Evolution qpae150 [pdf]


Schlegel L, Bhardwaj R, Shahryary Y, Demirtürk D, Marand AP, Schmitz RJ, Johannes F* (2024).

GenomicLinks: Deep learning predictions of 3D chromatin loops in the maize genome.

NAR Genomics and Bioinformatics 6:lqae123 [pdf]


Sellinger T, Johannes F,  Tellier A (2024).

Improved inference of population histories by integrating genomic and epigenomic data

Elife 12:RP89470 [pdf]


Thanh Vo B, Mas P, Johannes F* (2024).

Time's up: Epigenetic clocks in plants. 

Current Opinion in Plant Biology 81:102602 [pdf]


Chen Y, Burian A, Johannes F* (2024).

Somatic epigenetic drift during shoot branching: a cell lineage-based model. 

Genetics iyae091, https://doi.org/10.1093/genetics/iyae091 [pdf] [SI]


Kakoulidou I, Piecyk RS, Meyer RC, Kuhlmann M, Gutjahr C, Altmann T, Johannes F* (2024).

Mapping parental DMRs predictive of local and distal methylome remodeling in epigenetic F1 hybrids

Life Science Alliance 7: e202402599 [pdf]

2023

Yao N, Zhang Z, Yu L, Hazarika R, Yu C, Jang H,  Smith LM, Ton J, Liu L, Stachowicz J, Reusch TBH*, Schmitz RJ*, Johannes F* (2023).
An evolutionary epigenetic clock in plants.

Science doi:10.1126/science.adh94 [pdf]


Goeldel C and Johannes F* (2023).

Stochasticity in gene body methylation.

Current Opinion in Plant Biology [pdf]


Vassileva VN , Agius DR, Kapazoglou A, Avramidou EV, Baranek M, Carneros E, Caro E, Castiglione S, Cicatelli A, Radanovic A, Ebejer JP, Gackowski D, Guarino F, Gulyás A, Hidvégi NP, Hoenicka H, Inácio V, Johannes F, Karalija E, Lieberman-Lazarovich M, Martinelli F, Maury S, Mladenov V, Morais-Cecilio L, Pecinka A, Tani E, Testillano PS, Todorov D, Valledor L (2023).

Exploring the crop epigenome: a comparison of DNA methylation profiling techniques.

Frontiers Plant Sciences 14:1181039 [pdf]


Kuhlmann M, Jiang H, Catoni M, Johannes F (2023).

Editorial: DNA methylation in plants associated with abiotic stress (II)

Frontiers Plant Sciences 14:1203806 [pdf]


Kakoulidou I and Johannes F* (2023).

DNA methylation remodeling in F1 hybrids.

The Plant Journal doi:10.1111/tpj.16137 [pdf]

2022

Piecyk RS, Schlegel L, Johannes F*. 

Predicting 3D chromatin interactions from DNA sequence using Deep Learning.

Computational and Structural Biotechnology Journal 20:3439-3448 [pdf]


Hüther P, Hagmann J, Nunn A, Kakoulidou I, Pisupati R, Langenberger D, Weigel D, Johannes F, Schultheiss SJ, Becker C. 

MethylScore, a pipeline for accurate and context-aware identification of differentially methylated regions from population-scale plant WGBS data.

Quantitative Plant Biology (in press)


Giansanti P, Samaras P, Bian Y, Meng C, Coluccio A, Frejno M, Jakubowsky H, Dobiasch S, Hazarika RR, Rechenberger J, Calzada-Wack J, Krumm J, Mueller S, Lee CY, Wimberger N, Lautenbacher L, Hassan Z, Chang YC, Falcomatà C, Bayer FP, Bärthel S, Schmidt T, Rad R, Combs SE, The M, Johannes F, Saur D, Hrabe de Angelis M, Wilhelm M, Schneider G, Kuster B. 

Mass spectrometry-based draft of the mouse proteome.

Nature Methods https://doi.org/10.1038/s41592-022-01526-y [pdf]


Hazarika RR, Serra M, Zhang Z, Zhang Y,  Schmitz RJ*, Johannes F*. 

Molecular properties of epimutation hotspots.

Nature Plants doi.org/10.1038/s41477-021-01086-7 [pdf]

2021

Johannes F. 

Epigenomics in trees: decoding the plastic lives of mangroves.

New Phytologist [pdf]


Zhang Y, Jang H, Xiao R, Jordan WT, Piecyk RS, Kakoulidou I, Johannes F*, Schmitz RJ*. 

Heterochromatin is a quantitative trait associated with spontaneous epiallele formation.

Nature Communications 12:6958 [pdf]


Kuhlmann M, Jiang H, Catoni M, Johannes F. 

Editorial: DNA methylation in plants associated with abiotic stress (I)

Frontiers in Plant Sciences 12:778004 [pdf]


Kakoulidou I, Avramidou EV, Baránek M, Brunel-Muguet S, Farrona S, Johannes F, Kaiserli E, Lieberman-Lazarovich M, Martinelli F, Mladenov V, Testillano PS, Vassileva V, Maury S.  

Epigenetics for Crop Improvement in Times of Global Change. 

Biology 10, 766. [pdf]


Yao N, Schmitz RJ, Johannes F* 

Epimutations define a fast-ticking molecular clock in plants.

Trends in Genetics [pdf]


Denkena J, Johannes F, Colomé-Tatché M. 

Region-level epimutation rates in Arabidopsis thaliana. 

Heredity doi.org/10.1038/s41437-021-00441-w [pdf]

2020

Hofmeister BT, Denkena J, Colomé-Tatché M, Shahryary Dizaji Y, Hazarika RR, Grimwood J, Mamid S, Jenkins J, Grabowski PP, Sreedasyam A, Shu A, Barry K, Lail K, Adam C, Lipzen A, Sorek R, Kudrna D, Talag J, Wing R, Hall DW, Jacobsen D, Tuskan GA, Schmutz J,  Johannes F*, Schmitz RJ*. 

A genome assembly and the somatic genetic and epigenetic mutation rate in a wild long-lived perennial Populus trichocarpa

Genome Biology [pdf]


Shahryary Dizaji Y, Symeonidi A, Hazarika RR, Denkena J, Mubeen T, Hofmeister BT, van Gurp T, Colomé-Tatché M, Verhoeven K, Tuskan G, Schmitz RJ*, Johannes F.* 

AlphaBeta: Computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants.

Genome Biology [pdf]


Costa MCD, Johannes F. 

How to switch a gene on and off using epigenetics?

Frontiers for Young Minds doi: 10.3389/frym.2020.554136 [pdf]


Symeonidi A, Nikolaou A, Johannes F, Christlein V. 

Recursive Convolutional Neural Networks for Epigenomics.

bioRxiv doi: https://doi.org/10.1101/2020.04.02.021519


Shahryary Dizaji Y, Hazarika RR, Johannes F*. 

MethylStar: A fast and robust pipeline for high-throughput analysis of bulk or single-cell WGBS data.

BMC Genomics 21:479 [pdf]


Mergner J, Frejno M, List M, Papacek M, Chen X, Chaudhary A, Samaras P, Richter S, Shikata H, Messerer M, Lang D, Altmann S, Cyprys P, Zolg DP, Mathieson T, Bantscheff M, Hazarika RR, Schmidt T, Dawid C, Dunkel A, Hofmann T, Sprunck S, Falter-Braun P,

Johannes F, Mayer KFX, Jürgens G, Wilhelm M, Baumbach J, Grill E, Schneitz K, Schwechheimer C, Kuster B. 

Mass-spectrometry-based draft of the Arabidopsis proteome.

Nature  doi.org/10.1038/s41586-020-2094-2 [pdf]

2019

Ricci WA, Lu Z, Ji L, Marand AP, Ethridge CL, Murphy NG, Noshay JM, Galli M, Mejía-Guerra MK, Colomé-Tatché M, Johannes F, Rowley MJ, Corces VG,  Zhai J, Scanlon MJ, Buckler ES, Gallavotti A, Springer NM, Schmitz RJ*, Zhang X*.

Widespread Long-range Cis-Regulatory Elements in the Maize Genome

Nature Plants  doi: 10.1038/s41477-019-0547-0 [pdf]


Johannes F.

DNA methylation makes mutational history.

Nature Plants doi: 10.1038/s41477-019-0491-z [pdf]


Wendte WJ, Zhang Y, Ji L, Shi X, Hazarika RR, Shahryary Y, Johannes F, Schmitz RJ.

Epimutations are associated with CHROMOMETHYLASE 3-induced de novo DNA methylation.

Elife  doi: 10.7554/eLife.47891.001 [pdf]


Furci L,  Jain R, Stassen J, Berkowitz O, Whelan J, Roquis D, Baillet V, Colot V, Johannes F, Ton J.

Identification and characterisation of hypomethylated DNA loci controlling quantitative resistance in Arabidopsis.

Elife  doi: 10.7554/eLife.40655 [pdf]

2018

Kooke R, Morgado L, Becker F, van Eekelen H, Hazarika R, Zheng QF, de Vos RCH, Johannes F, Keurentjes JJB.

Epigenetic mapping of the Arabidopsis metabolome reveals mediators of the epigenotype-phenotype map.

Genome Research doi: 10.1101/gr.232371.117 [pdf]


Johannes F, Schmitz RJ.

Spontaneous epimutations in plants.

New Phytologist https://doi.org/10.1111/nph.15434 [pdf]


Taudt A, Roquis D, Vidalis A, Wardenaar R, Johannes F*, Colomé-Tatché M*.

METHimpute: Imputation-guided construction of complete methylomes from WGBS data.

BMC Genomics 19:444 [pdf]

2017

Lauss K, Wardenaar R, van Hulten MHA, Guryev V, Keurentjes JJB, Stam M*, Johannes F*.

Parental DNA methylation states are associated with heterosis in Arabidopsis epigenetic hybrids.

Plant Physiology doi: https://doi.org/10.1104/pp.17.01054 [pdf]


Morgado L* and Johannes F*.

Computational tools for plant small RNA detection and categorization.

Briefings in Bioinformatics bbx135 [pdf]


Morgado L, Preite V, Opaat C, Anava S, Ferreira de Carvalho J, Rechavi O, Johannes F, Verhoeven K.

Small RNAs reflect grandparental environments in apomictic dandelion.

Molecular Biology and Evolution doi: 10.1093/molbev/msx150 [pdf] [SI]


Morgado L*, Jansen R, Johannes F*.

Learning sequence patterns of AGO-sRNA affinity from high-throughput sequencing libraries to improve in silico functional small RNA detection and classification in plants.

bioRxiv doi: https://doi.org/10.1101/173575

2016

Vidali A, Živković D, Wardenaar R, Roquis D, Tellier A*, Johannes F.*

Methylome evolution in plants.

Genome Biology [pdf] [SI]


Taudt A, Colomé-Tatché M, Johannes F*.

Genetic sources of population epigenomic variation.

Nature Reviews Genetics doi:10.1038/nrg.2016.45 [pdf][SI]


Diao W, Mousset M, Vermeulen CJ, Johannes F, van de Zande L, Ritchie MG, Schmitt T, Beukeboom LW.

Quantitative trait locus analysis of mating behavior and male sex pheromones in Nasonia wasps.

G3: Genes | Genomes | Genetics [pdf]


Taudt A, Nguyen MA, Heinig M, Johannes F, Colomé-Tatché M.

chromstaR: Tracking combinatorial chromatin state dynamics in space and time.

bioRxiv doi: http://dx.doi.org/10.1101/038612

2015

Colomé-Tatché M* and Johannes F*.

Signatures of Dobzhansky-Muller incompatibilities in the genomes of Recombinant Inbred Lines.

Genetics doi:10.1534/genetics.115.179473 [pdf][SI]


van der Graaf A, Wardenaar R, Neumann DA, Taudt A, Shaw RG, Jansen RC, Schmitz RJ*, Colomé-Tatché M*, Johannes F*.

Rate, spectrum and evolutionary dynamics of spontaneous epimutations.

Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.1424254112. [pdf][SI]


Heinig M, Colomé-Tatché M, Taudt A, Rintisch C, Schafer S, Pravenec M, Hubner N, Vingron M, Johannes F.

histoneHMM: Differential analysis of histone modifications with broad genomic footprints.

BMC Bioinformatics 16:60. [pdf]


Kooke R, Johannes F, Wardenaar R, Etcheverry M, Colot V, Vreugdenhil D, Keurentjes JJB.

Epigenetic basis of morphological variation and phenotypic plasticity in Arabidopsis thaliana.

Plant Cell doi:​10.​1105/​tpc.​114.​133025. [pdf]

2014

Rintisch C, Heinig M, Bauerfeind A, Schafer S, Mieth C, Patone G, Hummel O, Chen W, Cook S, Cuppen E, Colomé-Tatché M, Johannes F, Jansen RC, Neil H, Werner M, Pravenec M, Vingron M, Hubner N.

Natural variation of histone modification and its impact on gene expression in the rat genome.

Genome Research doi:10.1101/gr.169029.113. [pdf]


Cortijo S, Wardenaar R, Colomé-Tatché M, Gilly A, Etcheverry M, Labadie K, Caillieux E, Hospital F, Aury J-M, Wincker P, Roudier F, Jansen RC, Colot V*, Johannes F*

Mapping the epigenetic basis of complex traits.

Science doi:10.1126/science.1248127. [pdf]


Cortijo S, Wardenaar R, M. Colomé-Tatché M, Johannes F*, Colot V*.

Genome-wide analysis of DNA methylation in Arabidopsis using MeDIP-chip.

Methods in Molecular Biology 1112:125-49. [pdf] [Data1] [Data2] [Data3] [Rcode]

2013

Wardenaar R, Liu H, M. Colot V, Colomé-Tatché M, Johannes F*.

Evaluation of MeDIP-chip in the context of Whole Genome Bisulphite Sequencing (WGBS-seq) in Arabidopsis.

Methods in Molecular Biology 1067:203-24. [pdf]

2012

Lendvai A, Johannes F, Grimm C, Eijsink JJH, Wardenaar R, Volders HH, Klip HG, Hollema H, Jansen RC, Schuuring E, Wisman BG, van der Zee AGJ.

Genome-wide methylation profiling identifies hypermethylated biomarkers in high-grade cervical intraepithelial neoplasia.

Epigenetics 11:1268-78. [pdf]


Seifert M, Cortijo S, Colomé-Tatché M, Johannes F, Roudier R, Colot V.

MeDIP-HMM: Genome-wide identification of distinct DNA methylation states from high-density tiling arrays.

Bioinformatics doi:10.1093/bioinformatics/bts562. [pdf]


Colomé-Tatché M, Cortijo S, Wardenaar R, Morgado L, Lahouze B, Sarazin A, Etcheverry M, Martin A, Feng S, Duvernois-Berthet E, Labadie K, Wincker P, Jacobsen SE, Jansen RC, Colot V*, Johannes F*.

Features of the Arabidopsis recombination landscape resulting from the combined loss of sequence variation and DNA methylation.

Proc. Natl. Acad. Sci. USA doi:10.1073/pnas.1212955109. [pdf]

2011

Roux F, Colomé-Tatché M, Edelist C, Wardenaar R, Guerche P, Hospital F, Colot V, Jansen RC, Johannes F*.

Genome-wide epigenetic perturbation jump-starts patterns of heritable variation found in nature.

Genetics 188:215–227. [pdf]


Johannes F* and Colomé-Tatché M.

Concerning epigenetics and inbreeding.

Nature Reviews Genetics 12: 376. [pdf]


Johannes F* and Colomé-Tatché M.

Quantitative epigenetics through epigenomic perturbation of isogenic lines.

Genetics 188:1015–1017. [pdf]


Concepcion D, Johannes F, Lo YH, Yao J, Fong J, Hamilton BA.

Modifier genes for mouse Phosphatidylinositol Transfer Protein alpha (vibrator) that bypass juvenile lethality.

Genetics 187:1185–1191. [pdf]

2010

Kooistra SM, van den Boom V, Thummer RP, Johannes F, Wardenaar R, Tesson BM, Veenhoff LM, Fusetti F, O'Neill LP, Turner B, de Haan G, Eggen BJL.

Undifferentiated Embryonic Cell Transcription Factor 1 Regulates ESC Chromatin Organization and Gene Expression.

Stem Cells 10:1703-14. [pdf]


Johannes F*, Wardenaar R, Colomé-Tatché M, Mousson F, de Graaf P, Mokry M, Guryev V, Timmers MHTh, Cuppen E, Jansen RC.

Comparing genome-wide chromatin profiles using ChIP-chip or ChIP-seq.

Bioinformatics 26: 1000–1006. [pdf]

2009

Johannes F, Porcher E, Teixeira F, Saliba-Colombani V, Simon M, Agier N, Bulski A, Albuisson J, Heredia F, Bouchez D, Dillmann C, Guerche P, Hospital F, Colot V.

Assessing the impact of transgenerational epigenetic variation on complex traits.

PLoS Genetics 5: e1000530. [pdf]


Fu J, Keurentjes JJB, Bouwmeester H, America T, Verstappen FWA, Ward JL, Beale MH, de Vos RCH, Dijkstra M, Scheltema RA, Johannes F, Koornneef M, Vreugdenhil D, Breitling R, Jansen RC.

System-wide molecular evidence for phenotypic buffering in Arabidopsis.

Nature Genetics 41: 166-167. [pdf]


Sen S, Johannes F, Broman K.

Selective genotyping and phenotyping strategies in a complex trait context.

Genetics 181: 1613-1626. [pdf]

2008

Johannes F*, Colot V, Jansen RC.

Epigenome dynamics: A quantitative genetic perspective.

Nature Reviews Genetics 9: 883-890. [pdf]

2007

Johannes F*.

Mapping temporally varying quantitative trait loci in time-to-failure experiments.

Genetics 175: 855-865. [pdf]

2006

Johannes F*, Blizard DA, Lionikas A, Lang DH, Vandenbergh DJ, Stout JT, Strauss JA, McClearn GE, Vogler GP.

QTL influencing baseline hematocrit in the C57BL/6J and DBA/2J lineage: Age-related effects.

Mammalian Genome 17: 689-699. [pdf]