Author

S. J. Puechmaille

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

Biology Disciplines

Click to filter author papers

Ecology· 4 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 5 Organism:mouse· 4 Research Focus:ecology & biodiversity· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

E. C. Teeling· 2 shared E. J. Petit· 2 shared A. Altewischer· 1 shared A. Baudouin· 1 shared A. S. Blomberg· 1 shared C. Stragier· 1 shared D. Fourcy· 1 shared D. Zarzoso-Lacoste· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEvolutionary Biology

E. C. Teeling

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Comparative genome microsynteny illuminates the fast evolution of nuclear mitochondrial segments (NUMTs) in mammals

M. Uvizl, S. J. Puechmaille, S. Power, M. Pippel, S. Carthy, W. Haerty, E. W. Myers, E. C. Teeling, Z. Huang

This study investigates NUMT evolution across 45 mammalian genomes using synteny-based methods, revealing their origin patterns and phylogenetic implications.

bioRxiv · Apr 20, 2023Evolutionary Biology

Climatic factors and host species composition at hibernation sites drive the incidence of bat fungal disease

A. S. Blomberg, T. M. Lilley, M. Fritze, S. J. Puechmaille

This study predicts the occurrence of White-nose disease in bats using climatic factors and host species data, showing climate change could expand its range.

bioRxiv · Feb 27, 2023 · PreprintEcology

Mark loss can strongly bias demographic rates in multi-state models: a case study with simulated and empirical datasets

F. Touzalin, E. J. Petit, E. Cam, C. Stragier, E. C. Teeling, S. J. Puechmaille

This study shows mark loss can bias demographic estimates in multi-state models, using simulations and bat data to demonstrate the impact and mitigation strategies.

bioRxiv · Mar 25, 2022Ecology

Population-level sensitivity to landscape variables reflects individual-based habitat selection in a woodland bat species

P.-L. Jan, D. Zarzoso-Lacoste, D. Fourcy, A. Baudouin, O. Farcy, J. Boireau, P. Le Gouar, S. J. Puechmaille, E. J. Petit

The paper analyzes how landscape variables affect population dynamics of lesser horseshoe bats using census data and statistical modeling, showing landscape features influence colony size and growth rate.

bioRxiv · Oct 3, 2021 · PreprintEcology

Population genetics as a tool to elucidate pathogen reservoirs: Lessons from Pseudogymnoascus destructans, the causative agent of white-nose disease in bats

N. M. Fischer, A. Altewischer, S. Ranpal, S. E. Dool, G. Kerth, S. J. Puechmaille

This study uses population genetics to identify Pseudogymnoascus destructans as an environmental reservoir in bat hibernacula walls, showing genotypic uniqueness per site and annual reinfection patterns.

bioRxiv · Feb 4, 2021Ecology