Author

A. Nunn

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 2 Ecology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 4 Approach:statistical model· 3 Research Focus:chromatin & epigenetic regulation· 2 Assay:DNA methylation· 2 Assay:whole-genome sequencing· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

C. Becker· 4 shared D. Galanti· 2 shared D. Langenberger· 2 shared D. Ramos-Cruz· 2 shared D. Weigel· 2 shared I. Rodriguez-Arevalo· 2 shared K. Jandrasits· 2 shared A. Brusa· 1 shared

Activity by Year

2021-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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4 shared papersPlant Biology

C. Becker

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Epigenetic variation in the Lombardy poplar along climatic gradients is independent of genetic structure and persists across clonal reproduction

B. Diez Rodriguez, D. Galanti, A. Nunn, C. Pena-Ponton, P. Perez-Bello, I. Sammarco, K. Jandrasits, C. Becker, E. De Paoli, K. J. F. Verhoeven, L. Opgenoorth, K. Heer

The paper examines epigenetic variation in Lombardy poplar along climatic gradients, finding that DNA methylation correlates with climate and persists through clonal reproduction.

bioRxiv · Nov 17, 2022 · PreprintEcology

Genetic and environmental drivers of large-scale epigenetic variation in Thlaspi arvense

D. Galanti, D. Ramos-Cruz, A. Nunn, I. Rodriguez-Arevalo, J. F. Scheepens, C. Becker, O. Bossdorf

This study identifies genetic and environmental factors influencing DNA methylation variation in Thlaspi arvense across Europe, showing context-dependent associations with climate and genetic variants.

bioRxiv · Mar 16, 2022Evolutionary Biology

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

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

MethylScore identifies differentially methylated regions in plant WGBS data using an unsupervised machine learning approach, improving statistical power and reducing false positives.

bioRxiv · Jan 6, 2022 · PreprintPlant Biology

Chromosome-level Thlaspi arvense genome provides new tools for translational research and for a newly domesticated cash cover crop of the cooler climates

A. Nunn, I. Rodriguez-Arevalo, Z. Tandukar, K. Frels, A. Contreras-Garrido, P. Carbonell-Bejerano, P. Zhang, D. Ramos-Cruz, K. Jandrasits, C. Lanz, A. Brusa, M. Mirouze, K. Dorn, B. Jarvis, J. Sedbrook, , R. Chopra

The paper presents a chromosome-level genome assembly of Thlaspi arvense and uses it to analyze genetic variation and gene structure differences between accessions.

bioRxiv · Jul 30, 2021Plant Biology