A geological timescale for bacterial evolution and oxygen adaptation

Author:

Davín Adrián A.123ORCID,Woodcroft Ben J.4ORCID,Soo Rochelle M.1ORCID,Morel Benoit56ORCID,Murali Ranjani7ORCID,Schrempf Dominik28ORCID,Clark James W.910ORCID,Álvarez-Carretero Sandra9ORCID,Boussau Bastien11ORCID,Moody Edmund R. R.912ORCID,Szánthó Lénárd L.21314ORCID,Richy Etienne12ORCID,Pisani Davide912ORCID,Hemp James15ORCID,Fischer Woodward W.7ORCID,Donoghue Philip C. J.9ORCID,Spang Anja1617ORCID,Hugenholtz Philip1ORCID,Williams Tom A.12ORCID,Szöllősi Gergely J.281314ORCID

Affiliation:

1. The University of Queensland, School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, Brisbane, Queensland, Australia.

2. Department of Biological Physics, Eötvös Loránd University, Budapest, Hungary.

3. Department of Biological Sciences, Graduate School of Science, University of Tokyo, Tokyo, Japan.

4. Centre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology (QUT), Translational Research Institute, Woolloongabba, Australia.

5. Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany.

6. Institute for Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany.

7. Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA.

8. MTA-ELTE “Lendület” Evolutionary Genomics Research Group, Budapest, Hungary.

9. Bristol Palaeobiology Group, School of Earth Sciences, University of Bristol, Bristol, UK.

10. Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, UK.

11. Laboratoire de Biométrie et Biologie Evolutive, Univ Lyon, Univ Lyon 1, CNRS, VetAgro Sup, Villeurbanne, France.

12. School of Biological Sciences, University of Bristol, Bristol, UK.

13. Institute of Evolution, Centre for Ecological Research, Budapest, Hungary.

14. Model-Based Evolutionary Genomics Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.

15. Metrodora Institute, West Valley City, UT, USA.

16. Department of Marine Microbiology and Biogeochemistry, NIOZ, Royal Netherlands Institute for Sea Research, Den Burg, Netherlands.

17. Department of Evolutionary & Population Biology, Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, Netherlands.

Abstract

Microbial life has dominated Earth’s history but left a sparse fossil record, greatly hindering our understanding of evolution in deep time. However, bacterial metabolism has left signatures in the geochemical record, most conspicuously the Great Oxidation Event (GOE). We combine machine learning and phylogenetic reconciliation to infer ancestral bacterial transitions to aerobic lifestyles, linking them to the GOE to calibrate the bacterial time tree. Extant bacterial phyla trace their diversity to the Archaean and Proterozoic, and bacterial families prior to the Phanerozoic. We infer that most bacterial phyla were ancestrally anaerobic and adopted aerobic lifestyles after the GOE. However, in the cyanobacterial ancestor, aerobic metabolism likely predated the GOE, which may have facilitated the evolution of oxygenic photosynthesis.

Publisher

American Association for the Advancement of Science (AAAS)

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