Author

Morten Schiøtt

Technical University of DenmarkORCID 0000-0002-4309-8090Unclaimed ORCID profile · follow to get notified of new preprints

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Morten Schiøtt2 papers

Biology Disciplines

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Evolutionary Biology· 1 Zoology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:multiple species· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

Frequent Co-Authors

Guojie ZhangiD· 2 shared Jacobus J. BoomsmaiD· 2 shared Lukas SchraderiD· 2 shared Abel BernadouiD· 1 shared Adrian RichteriD· 1 shared Alexandre Casadei‐FerreiraiD· 1 shared Ana Ješovnik· 1 shared András Tartally· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersEvolutionary Biology

Guojie ZhangORCID

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2 papers

Recent·Most cited

Population genomics of the inquiline social parasite Acromyrmex insinuator and its leaf-cutting ant hosts A. echinatior and A. octospinosus reveals cryptic differentiation and reduced efficiency of selection in the parasite

Lukas Schrader, Morten Schiøtt, Rasmus Stenbak Larsen, Mohammed Errbii, Hailin Pan, Qiye Li, Guojie Zhang, Jacobus J. Boomsma

The paper uses population genomic analyses to study the social parasite Acromyrmex insinuator and its hosts, finding reduced genetic diversity, eroded adaptive potential, and cryptic population structure in the parasite.

bioRxiv · Aug 20, 2026 · PreprintEvolutionary Biology

High-throughput phenomics of global ant biodiversity

Julian Katzke, Francisco Hita Garcia, Philipp D. Lösel, Fumika Azuma, Tomáš Faragó, Lazzat Aibekova, Alexandre Casadei‐Ferreira, Shubham Gautam, Adrian Richter, Evropi Toulkeridou, Sabine Bremer, Elias Hamann, Jenny Hein, Janes Odar, Chandan Sarkar, , Thomas van de Kamp

Antscan provides 2,193 standardized whole-body 3D synchrotron micro-CT datasets across 792 ant species (212 genera), pairing morphological volumes with automated deep-learning segmentation and genome sequencing projects.

Nature Methods · Mar 1, 2026Peer-reviewedZoology✦ In-depth digest