Abstract
Mitochondria are ATP-generating organelles, the endosymbiotic origin of which was a key event in the evolution of eukaryotic cells 1 . Despite strong phylogenetic evidence that mitochondria had an alphaproteobacterial ancestry 2, efforts to pinpoint their closest relatives among sampled alphaproteobacteria have generated conflicting results, complicating detailed inferences about the identity and nature of the mitochondrial ancestor. While most studies support the idea that mitochondria evolved from an ancestor related to Rickettsiales 3-9, an order that includes several host-Associated pathogenic and endosymbiotic lineages 10,11, others have suggested that mitochondria evolved from a free-living group 12-14 . Here we re-evaluate the phylogenetic placement of mitochondria. We used genome-resolved binning of oceanic metagenome datasets and increased the genomic sampling of Alphaproteobacteria with twelve divergent clades, and one clade representing a sister group to all Alphaproteobacteria. Subsequent phylogenomic analyses that specifically address long branch attraction and compositional bias artefacts suggest that mitochondria did not evolve from Rickettsiales or any other currently recognized alphaproteobacterial lineage. Rather, our analyses indicate that mitochondria evolved from a proteobacterial lineage that branched off before the divergence of all sampled alphaproteobacteria. In light of this new result, previous hypotheses on the nature of the mitochondrial ancestor 6,15,16 should be re-evaluated.
| Original language | English |
|---|---|
| Pages (from-to) | 101-105 |
| Number of pages | 5 |
| Journal | Nature |
| Volume | 557 |
| Issue number | 7703 |
| DOIs | |
| Publication status | Published - 3 May 2018 |
| Externally published | Yes |
Funding
Acknowledgements We thank the Tara Oceans consortium for generating metagenomic datasets and for making these publically available. We thank G. Herndl and C. Schleper for sharing metagenomic datasets before publication, and to M. Wu for sharing the genome of ‘Candidatus Magnetococcus yuandaducum’ before publication; K. Zaremba-Niedzwiedzka, C. Stairs, L. Eme, T. Williams, N. Lartillot, J. Alneberg, B. Quang Minh and H. C. Wang for useful advice, discussions and technical support; the Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) at Uppsala University and the Swedish National Infrastructure for Computing (SNIC) at the PDC Center for High-Performance Computing for providing computational resources. This work is supported by grants of the European Research Council (ERC Starting grant 310039-PUZZLE_CELL), the Swedish Foundation for Strategic Research (SSF-FFL5) and the Swedish Research Council (VR grant 2015-04959) awarded to T.J.G.E.