Avoidable false PSMC population size peaks occur across numerous studies
Goethe University Frankfurt · Senckenberg Research Institute and Natural History Museum Frankfurt/M · +8 more institutions
Abstract
Inferring historical population sizes is key to identifying drivers of ecological and evolutionary change and crucial to predicting the future of species on our rapidly changing planet. The pairwise sequentially Markovian coalescent (PSMC) method provided a revolutionary framework to reconstruct species' demographic histories over millions of years based on the genome sequence of a single individual. Here, we detected and solved a common artifact in PSMC and related methods: recent population peaks followed by population collapses. Combining real and simulated genomes, we show that these peaks do not represent true population dynamics. Instead, ill-set default parameters cause false peaks in our own and…
Citation impact
- FWCI
- 32.04
- Percentile
- 100%
- References
- 14
Authors
8- LHLeon HilgersCorresponding
Goethe University Frankfurt, Senckenberg Research Institute and Natural History Museum Frankfurt/M, Senckenberg Biodiversity and Climate Research Centre, LOEWE Centre for Translational Biodiversity Genomics
- SLShenglin Liu
Goethe University Frankfurt, Senckenberg Research Institute and Natural History Museum Frankfurt/M, Senckenberg Biodiversity and Climate Research Centre, LOEWE Centre for Translational Biodiversity Genomics
- AJAxel Jensen
Uppsala University
- TBTom Brown
Center for Systems Biology Dresden, Max Planck Institute of Molecular Cell Biology and Genetics, Technische Universität Dresden
- TCTrevor Cousins
University of Cambridge
Topics & keywords
- Biology
- Population
- Population size
- Evolutionary biology
- Statistics
- Demography
- Mathematics