Abstract
In modern oceans, eukaryotic phytoplankton is dominated by lineages with red algal-derived plastids such as diatoms, dinoflagellates, and coccolithophores. Despite the ecological importance of these groups and many others representing a huge diversity of forms and lifestyles, we still lack a comprehensive understanding of their evolution and how they obtained their plastids. New hypotheses have emerged to explain the acquisition of red algal-derived plastids by serial endosymbiosis, but the chronology of these putative independent plastid acquisitions remains untested. Here, we establish a timeframe for the origin of red algal-derived plastids under scenarios of serial endosymbiosis, using Bayesian molecular clock analyses applied on a phylogenomic dataset with broad sampling of eukaryote diversity. We find that the hypotheses of serial endosymbiosis are chronologically possible, as the stem lineages of all red plastid-containing groups overlap in time. This period in the Meso- and Neoproterozoic Eras set the stage for the later expansion to dominance of red algal-derived primary production in the contemporary oceans, which profoundly altered the global geochemical and ecological conditions of the Earth.
| Original language | English |
|---|---|
| Article number | 1879 |
| Journal | Nature Communications |
| Volume | 12 |
| Early online date | 25 Mar 2021 |
| DOIs | |
| Publication status | Published - 25 Mar 2021 |
Data Availability Statement
All data needed to evaluate the conclusions of this study are present in the paper, the Supplementary Information and the Supplementary Data. Raw sequence data are available under the following web-links: https://ensemblgenomes.org, https://imicrobe.us/#/projects/104, https://ncbi.nlm.nih.gov, https://onekp.com/samples/list.php, https://doi.org/10.6084/m9.figshare.12417881.v2.Acknowledgements
This work was supported by a grant from Science for Life Laboratory available to F.B., which covered the salary of J.F.H.S. and I.I. I.I. acknowledges support from the Spanish Ministry of Economy and Competitiveness (MINECO) (Juan de la Cierva fellowship IJCI-2016- 29566) and the European Research Council (Grant Agreement No. 852725; ERC-StG ‘TerreStriAL’ to Jan de Vries, University of Gottingen). T.A.W. was supported by a Royal Society University Research Fellowship and NERC Grant NE/P00251X/1. Computations were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) under Projects 2017-7-65, 2017-7-355, 2018-3-147, 2018-3-288, 2018-8-187, 2018-8-192 and 2019-3-305.Funding
Open access funding provided by Uppsala University.