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Data Supplement-20220204T124330Z-001.zip (953.87 MB)

An estimate of the deepest branches of the tree of life from ancient vertically-evolving genes

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Version 6 2022-02-04, 13:28
Version 5 2021-11-25, 14:29
Version 4 2021-11-25, 14:26
Version 3 2021-11-25, 13:56
Version 2 2021-05-05, 12:39
Version 1 2020-12-17, 13:52
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posted on 2022-02-04, 13:28 authored by Edmund MoodyEdmund Moody, Tara MahendrarajahTara Mahendrarajah, Nina Dombrowski, Celine Petitjean, James ClarkJames Clark, Pierre OffrePierre Offre, Gergely J. Szöllősi, Anja SpangAnja Spang, Tom WilliamsTom Williams
This is the data supplement for the manuscript "An estimate of the deepest branches of the tree of life from ancient vertically-evolving genes"

Authors: Edmund R. R. Moody1, Tara A. Mahendrarajah2, Nina Dombrowski2, James W. Clark1, Celine Petitjean1, Pierre Offre2, Gergely J. Szöllősi3,4,5, Anja Spang2,6*, Tom A. Williams1*

1. School of Biological Sciences, University of Bristol, Bristol BS8 1TH, UK.
2. NIOZ, Royal Netherlands Institute for Sea Research, Department of Marine Microbiology and Biogeochemistry; AB Den Burg, The Netherlands
3. Dept. of Biological Physics, Eötvös Loránd University, 1117 Budapest, Hungary
4. MTA-ELTE “Lendület” Evolutionary Genomics Research Group, 1117 Budapest, Hungary;
5. Institute of Evolution, Centre for Ecological Research, 1121 Budapest, Hungary
6. Department of Cell- and Molecular Biology, Science for Life Laboratory, Uppsala University, SE-75123, Uppsala, Sweden

*Co-corresponding authors: tom.a.williams@bristol.ac.uk, anja.spang@nioz.nl

This data supplement contains sequence alignments, trees, and python scripts used for analysis as well as tables of results.

Funding

ERRM was supported by a Royal Society Enhancement Award (RGF\EA\180199) to TAW

CP was supported by NERC grant NE/P00251X/1 to TAW

TAW was supported by a Royal Society University Research Fellowship (URF\R\201024)

GJSz received funding from the European Research Council under the European Union’s Horizon 2020 research and innovation program under Grant Agreement 714774 and Grant GINOP-2.3.2.-15-2016- 00057

AS received funding from the Swedish Research Council (VR starting grant 2016-03559), the NWO-I foundation of the Netherlands Organisation for Scientific Research (WISE fellowship) and the European Research Council (ERC Starting grant 947317, ASymbEL). ND was supported through the WISE fellowship, ERC StG 947317 and GBMF9741 to AS

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