
Markus Pfenninger
Articles
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1 month ago |
journals.plos.org | María Esther Nieto-Blázquez |Manuela Gómez-Suárez |Markus Pfenninger |Katrin Koch
In Fig 3, there is an error in panel A. The Manhattan plots should have not been identical. Please see the correct Fig 3 here. Fig 3.
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Nov 29, 2024 |
biorxiv.org | Susanne Gerber |Markus Pfenninger |Cosima Caliendo
AbstractDetecting signals of polygenic adaptation remains a significant challenge in evolutionary biology, as traditional methods often struggle to identify the associated subtle, multi-locus allele-frequency shifts. Here, we introduced and tested several novel approaches combining machine learning techniques with traditional statistical tests to detect polygenic adaptation patterns.
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Nov 15, 2024 |
biorxiv.org | Barbara Feldmeyer |Markus Pfenninger |Linda Eberhardt |Burak Bulut
AbstractThe emission of artificial light at night (ALAN) is rapidly increasing worldwide. Yet, evidence for its detrimental effects on various species is accumulating. While the effects of ALAN on phenotypic traits have been widely investigated, effects on the molecular level are less well understood. Here we aimed to integrate the effects of ALAN at the transcriptomic and the phenotypic level.
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Aug 13, 2024 |
journals.plos.org | Senckenberg Biodiversity |Markus Pfenninger |María Esther Nieto-Blázquez |Manuela Gómez-Suárez
Loading metrics Open Access Peer-reviewedResearch Article Citation: Nieto-Blázquez ME, Gómez-Suárez M, Pfenninger M, Koch K (2024) Impact of feralization on evolutionary trajectories in the genomes of feral cat island populations. PLoS ONE 19(8): e0308724. https://doi.org/10.1371/journal.pone.0308724Editor: Franck Courchamp, Universite Paris-Saclay, FRANCEReceived: February 7, 2024; Accepted: July 29, 2024; Published: August 13, 2024Copyright: © 2024 Nieto-Blázquez et al.
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Jun 14, 2024 |
biorxiv.org | Markus Pfenninger |Senckenberg Biodiversity
AbstractThis study explores the potential of a novel genome-wide association study (GWAS) approach for identifying loci underlying quantitative polygenic traits in natural populations. Extensive population genetic forward simulations demonstrate that the approach is generally effective for oligogenic and moderately polygenic traits and relatively insensitive to low heritability, but applicability is limited for highly polygenic architectures and pronounced population structure.
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