DETERMINE: Dissecting evolutionary rates across time: Bridging micro- and macroevolution
About the project
Species are currently experiencing environmental changes due to anthropogenic influence, changes that will continue for unknown time spans. Fossils are the only data we have to understand how earlier life forms have coped with previous changes in their environment.
Given this backdrop, there is something deeply disconcerting about the current state of knowledge on how we understand the evolutionary potential of species over different time scales. A dominating view of the fossil record is that species remain very similar during their existence, with changes mainly happening during speciation events.
This pattern contrasts with the enormous potential for evolution observed on shorter time scales. In short, why do we observe so little evolutionary change in the fossil record when we have been able to produce substantial evolutionary change over only a few generations in the lab?
The DETERMINE project will use a combination of conceptually novel approaches together with more established methodology to investigate whether the evolutionary potential of species is actually different across time. Part of the project involves analyzing hundreds of ancestor-descendent time series.
Results from the DETEMINE project will reduce the divide between our understanding of evolution on short (microevolution) and long timescales (macroevolution), and will enable better predictions on how species can be expected to cope with the ongoing global environmental changes over different time intervals.
This Project is funded by the Research Council of Norway (RCN) FRIMEDBIO
UiO Project Number: 144250
01.04.16 - 31.12.2020
- Kjetil L. Voje; Emanuela Di Martino & Arthur Guimaraes Carvalho Porto (2020). Revisiting a landmark study system: No evidence for a punctuated mode of evolution in Metrarabdotos. The American Naturalist. ISSN 0003-0147. 195, s 899- 917
- Arthur Guimaraes Carvalho Porto & Kjetil L. Voje (2020). ML‐morph: A fast, accurate and general approach for automated detection and landmarking of biological structures in images. Methods in Ecology and Evolution. ISSN 2041-210X. 11, s 500- 512
- Kjetil L. Voje (2019). Testing eco-evolutionary predictions using fossil data: Phyletic evolution following ecological opportunity. Evolution. ISSN 0014-3820. 74, s 188- 200
- Kjetil L. Voje; Jostein Starrfelt & Lee Hsiang Liow (2018). Model adequacy and microevolutionary explanations for stasis in the fossil record. The American Naturalist. ISSN 0003-0147. 191, s 509- 523
- Kjetil L. Voje (2018). Assessing adequacy of models of phyletic evolution in the fossil record. Methods in Ecology and Evolution. ISSN 2041-210X. 9, s 2402- 2413
- Jo Skeie Hermansen; Jostein Starrfelt; Kjetil L. Voje & Nils Christian Stenseth (2018). Macroevolutionary consequences of sexual conflict. Biology Letters. ISSN 1744-9561. 14, s 1- 4
- Kjetil L. Voje (2017). Allometry, In Jennifer Vonk & Todd Shackelford (ed.), Encyclopedia of animal cognition and behavior. Springer. ISBN 9783319550657. Kapittel Allometry. s 1 - 3
- Dennis Gordon; Kjetil L. Voje & Paul D. Taylor (2017). Living and fossil Steginoporellidae (Bryozoa: Cheilostomata) from New Zealand. Zootaxa. ISSN 1175-5326. 4350, s 345- 362
- Kjetil L. Voje (2016). Tempo does not correlate with mode in the fossil record. Evolution. ISSN 0014-3820. 70, s 2678- 2689
- Arthur Guimaraes Carvalho Porto (2018). Variational Approaches to Evolvability: Short- and Long-Term Perspectives, In Evolutionary Developmental Biology. Springer Nature. ISBN 978-3-319-33038-9. Chapter on Evolvability.