Author

Lene Rostgaard Nielsen

University of CopenhagenORCID 0000-0002-7214-8691Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 2 Plant Biology· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 3 Approach:statistical model· 3 Research Focus:chromatin & epigenetic regulation· 2 Assay:DNA methylation· 2 Assay:whole-genome sequencing· 2 Research Focus:development & morphogenesis· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1

Frequent Co-Authors

James DoonaniD· 2 shared Katharina B. BuddeiD· 2 shared Michael D. MartiniD· 2 shared Albin LoboiD· 1 shared Alfas PliūraiD· 1 shared Andrea PiottiiD· 1 shared Barbara FussiiD· 1 shared Bent PeterseniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersEvolutionary Biology

James DoonanORCID

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3 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintMar 25, 2026

Demographic history shapes forest tree vulnerability to climate change

Thomas Francisco, Isabelle Lesur, Carlos Guadaño‐Peyrot…·Santiago C. González‐Martínez

This study examines how demographic history affects the vulnerability of six European forest tree species to climate change by analyzing population genomic data.

DOI 10.64898/2026.03.10.710859

plant (other)DNA methylation

𝕏 PostBluesky

Evolutionary BiologyMobile DNAPeer-reviewedMay 31, 2025

Genomic stability in the Galapagos Scalesia adaptive radiation: Consistent transposable element accumulation despite hybridization and ecological niche shifts

José Cerca, Patricia Jaramillo, Clément Goubert…·Michael D. Martin

The paper examines TE accumulation in Scalesia species and finds no significant variation despite hybridization and niche shifts, challenging the role of TEs in diversification.

6 citations

plant (other)DNA methylation

𝕏 PostBluesky

Plant BiologyPlant Cell & EnvironmentPeer-reviewedJan 17, 2025

Multiple, single trait GWAS and supervised machine learning reveal the genetic architecture of Fraxinus excelsior tolerance to ash dieback in Europe

James Doonan, Katharina B. Budde, Chatchai Kosawang…·Lene Rostgaard Nielsen

The paper uses GWAS and machine learning to identify genetic factors associated with ash dieback tolerance and phenology in Fraxinus excelsior across Europe.

28 citationstop 1%

plant (other)whole-genome sequencing

𝕏 PostBluesky