The emergence of earliest angiosperms may be earlier than fossil evidence indicates

Karsten, Salomo, Smith, James F., Feild, Taylor S., Samain, Marie-Stephanie, Bond, Laura, Davidson, Christopher, Zimmers, Jay, Neinhuis, Christoph, and Wanke, Stefan (2017) The emergence of earliest angiosperms may be earlier than fossil evidence indicates. Systematic Botany, 42 (4). pp. 607-619.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website:


Gaps between molecular ages and fossils undermine the validity of time-calibrated molecular phylogenies. An example of the time gap surrounds the age of angiosperms' origin. We calculate molecular ages of the earliest flowering plant lineages using 22 fossil calibrations (101 genera, 40 families). Our results reveal the origin of angiosperms at the late Permian,; 275 million years ago. Different prior probability curves of molecular age calculations on dense calibration point distributions had little effect on overall age estimates compared to the effects of altered calibration points. The same is true for reasonable root age constraints. We conclude that our age estimates based on multiple datasets, priors, and calibration points are robust and the true ages are likely between our extremes. Our results, when integrated with the ecophysiological evolution of early angiosperms, imply that the ecology of the earliest angiosperms is critical to understand the pre-Cretaceous evolution of flowering plants.

Item ID: 52232
Item Type: Article (Research - C1)
ISSN: 1548-2324
Keywords: calibration density, ecophysiology, molecular dating, origin of angiosperms, permian, rate heterogeneity
Funders: German Research Foundation (DFG), German Academic Exchange Service (DAAD), IDeA Networks of Biomedical Research Excellence (INBRE), National Institute of Health (NIH), USA
Projects and Grants: DFG NE681/5-2, DFG NE681/10-1, DAAD Programme des Projektbezogenen Personenaustauschs, NIH P20RR016454
Date Deposited: 31 Jan 2018 07:34
FoR Codes: 31 BIOLOGICAL SCIENCES > 3104 Evolutionary biology > 310410 Phylogeny and comparative analysis @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 100%
Downloads: Total: 2
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page