The Ediacaran origin of Ecdysozoa: integrating fossil and phylogenomic data

Richard J. Howard, Mattia Giacomelli, Jesus Lozano-Fernandez, Gregory D. Edgecombe, James F. Fleming, Reinhardt M. Kristensen, Xiaoya Ma, Jorgen Olsen, Martin V. Sorensen, Philip F. Thomsen, Matthew Wills, Philip C. J. Donoghue, Davide Pisani

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42 Citations (SciVal)

Abstract

Ecdysozoans (Phyla Arthropoda, Kinorhyncha, Loricifera, Nematoda, Nematomorpha, Onychophora, Priapulida, Tardigrada) are invertebrates bearing a tough, periodically moulted cuticle that predisposes them to exceptional preservation. Ecdysozoans dominate the oldest exceptionally preserved bilaterian animal biotas in the early to mid-Cambrian (c. 520–508 Ma), with possible trace fossils in the latest Ediacaran (<556 Ma). The fossil record of Ecdysozoa is among the best understood of major animal clades and is believed to document their origins and evolutionary history well. Strikingly, however, molecular clock analyses have implied a considerably deeper Precambrian origin for Ecdysozoa, much older than their earliest fossils. Here, using an improved set of fossil calibrations, we performed Bayesian analyses to estimate an evolutionary time-tree for Ecdysozoa, sampling all eight phyla for the first time. Our results recover Scalidophora as the sister group to Nematoida + Panarthropoda (= Cryptovermes nov.) and suggest that the Ediacaran divergence of Ecdysozoa occurred at least 23 myr before the first potential ecdysozoan trace fossils. This finding is impervious to the use of all plausible phylogenies, fossil prior distributions, evolutionary rate models and matrix partitioning strategies. Arthropods exhibit more precision and less incongruence between fossil- and clock-based estimates of clade ages than other ecdysozoan phyla.
Original languageEnglish
Article numberjgs2021-107
JournalJournal of the Geological Society
Volume179
Early online date1 Feb 2022
DOIs
Publication statusPublished - 10 Mar 2022

Funding

Author contributions RJH: conceptualization (supporting), formal analysis (supporting), investigation (supporting), methodology (supporting), visualization (equal), writing – original draft (lead), writing – review & editing (equal); MG: conceptualization (supporting), data curation (supporting), formal analysis (lead), investigation (supporting), methodology (supporting), resources (supporting), software (equal), visualization (supporting), writing – original draft (supporting), writing – review & editing (supporting); JL-F: conceptualization (supporting), data curation (lead), formal analysis (supporting), investigation (supporting), methodology (supporting), resources (equal), software (equal), supervision (equal), visualization (supporting), writing – original draft (supporting), writing – review & editing (supporting); GDE: investigation (supporting), supervision (supporting), writing – original draft (supporting), writing – review & editing (supporting); JFF: data curation (supporting), resources (supporting); RMK: resources (supporting), writing – review & editing (supporting); XM: supervision (supporting), writing – original draft (supporting), writing – review & editing (supporting); JO: resources (supporting), writing – review & editing (supporting); MVS: resources (supporting), writing – review & editing (supporting); PFT: resources (supporting), writing – review & editing (supporting); MAW: supervision (supporting), writing – original draft (supporting), writing – review & editing (supporting); PCJD: conceptualization (supporting), formal analysis (supporting), funding acquisition (supporting), investigation (equal), methodology (equal), project administration (equal), software (supporting), supervision (lead), writing – original draft (supporting), writing – review & editing (supporting); DP: conceptualization (lead), data curation (supporting), formal analysis (supporting), funding acquisition (lead), investigation (equal), methodology (equal), project administration (lead), resources (equal), software (supporting), supervision (supporting), writing – original draft (supporting), writing – review & editing (supporting) Funding The NERC GW4 + Doctoral Training Partnership provided stipend and research expenditure to R.J.H. D.P. and M.G. were supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement 764840. D.P. and P.C.J.D. were funded by Natural Environment Research Council (NERC) grant NE/P013678/1, part of the Biosphere Evolution, Transitions and Resilience (BETR) programme, which is co-funded by the Natural Science Foundation of China (NSFC). P.C.J.D. is funded by Biotechnology and Biological Sciences Research Council (BBSRC) grants BB/N000919/1 and BB/T012773/1. R.M.K. was funded by the Danish Natural Science Research Council (grant FNU 272-08-0576) and Carlsberg Foundation (grants CF 970345/30-488, CF 2009_01_0063, CF 2012_01_0123 and CF 16-0236). J.O. was supported by a grant from the Danish Agency for Science, Technology and Innovation (0601-12345B). M.A.W acknowledges BBSRC grant BB/K006754/1 and JTF Grant 61408. NERC Independent Research Fellowship (Grant 680 NE/L011751/1) provided salary and research expenditure for X.-Y.M. J.F.F was funded by Royal Society–Japan Society for the Promotion of Science KAKENHI grant 18F18788.

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