Abstract
The origin and evolution of land plants precipitated fundamental changes to the Earth system and enabled the diversification of life on land. Their early evolution is documented by a rich fossil record of sporopollenin-walled spores that is difficult to interpret because the evolution of plant spore characteristics is unresolved. We employ a suite of ancestral state estimation methods to elucidate the pattern of spore character evolution among land plants. We find that the ancestral embryophyte underwent monoplastidic meiosis and produced unenveloped spores with a three-layered sporoderm. We infer that trilete spores (that developed in tetrahedral tetrads), traditionally considered a feature of vascular plants, were produced by the crown-embryophyte. We recalibrate the molecular timescale of early land plant evolution on the basis of a reinterpretation of the fossil record in this light. We find that crown-embryophytes originated in the Late Ordovician (457–450 Ma) and that both crown-tracheophytes (432–428 Ma) and crown-bryophytes (445–429 Ma) diverged in the early Silurian.
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Main
The evolutionary origin of land plants precipitated fundamental changes to the Earth system, altering biogeochemical cycles through alterations of atmospheric composition, carbon sequestration, weathering and soil formation, as well as creating niches for animals and fungal symbioses1,2,3,4,5. However, the timing of these events remains unclear because of the heterogeneity of the rock record in which the fossil record is entombed and, consequently, the poorly informative nature of fossil calibrations of molecular clock analyses that have resulted in estimates for the antiquity of embryophytes that range from the late Mesoproterozoic to the early Devonian (1,040–407 million years ago (Ma))6,7,8,9,10,11,12,13,14,15,16,17 (Fig. 1).
The blue bars represent the reported confidence intervals from each study6,7,8,9,10,11,12,13,14,15,16,17. Note the change in scale between the Proterozoic and Neoproterozoic. Some studies present multiple clock analyses, in which cases we have selected the most relevant or the focal analyses of such studies. De., Devonian.
While the macrofossil record of early land plants is patchy, the fossil record of their dispersed spores is more continuous and predates the first unequivocal land plant megafossil, Cooksonia, by approximately 40 million years (Myr)18,19,20,21,22,23,24,25. The fidelity of the fossil spore record stems from their protective wall, which is composed of the highly recalcitrant biopolymer sporopollenin26, and their accumulation in fluvial and marine sedimentary sequences, providing reliable samples of floral diversity from broad spatial areas over geologic history21.
Irregular polyad palynomorphs lacking regular geometric cell arrangements that are potentially terrestrially derived first appear in the middle Cambrian27,28,29,30,31. They have controversially been termed cryptospores using a definition based on terrestrial origin rather than biological affinity. The current consensus is that these were produced by non-embryophyte streptophyte algae that potentially included close relatives or ancestors of the embryophytes20,32.
The first definitive appearance of regular polyad palynomorphs is in terrestrial deposits of the Darriwilian (Middle Ordovician). Their affinity to embryophytes was initially based on their morphological similarity to the permanent tetrads and dyads produced by some living bryophytes and their occurrence in terrestrial deposits33. They were subsequently reported in situ from exceptionally preserved eophyte plants from younger deposits34. Trilete spores first appear sporadically and rarely in the Late Ordovician, becoming continuous and increasingly dominant from the late Llandovery (early Silurian) until they dominate late Silurian spore assemblages35,36,37. Trilete spores are widely attributed to vascular plants35,38,39, but they are also produced by some extant bryophytes33,39,40,41. Despite the fidelity of the spore fossil record, its interpretation is challenging. Mature spore fossils are usually found dispersed from their parent sporophyte, rendering their taxonomic affiliation problematic. Meanwhile, in situ fossil spores are usually immature and may possess different ultrastructural features from mature palynomorphs. Taphonomy can also result in the loss of informative ultrastructural characters; thus, many fossil spore morphologies cannot be assigned to extant groups with confidence35,42. Furthermore, the phylogeny of spore characters is unclear, not least since the spore fossil record has traditionally been rationalized in light of the now widely rejected phylogenetic framework of bryophyte paraphyly5,43 (but see ref. 44).
Here our aim is to establish a new timescale for the evolution of land plants based on the recalibration of molecular clock analyses, following a reinterpretation of the spore fossil record. This is achieved through probabilistic reconstruction of the pattern of spore character evolution within the framework of bryophyte monophyly14,45,46, revealing the sequence in which spore characters evolved as well as providing a basis for reinterpreting the spore fossil record. On this basis, we establish new fossil calibrations that we employ in determining a new evolutionary timescale for early land plant evolution using a relaxed molecular clock. The results of our analyses indicate that trilete spores (that developed in tetrahedral tetrads) are characteristic of total-group embryophytes, and a molecular clock analysis recalibrated in light of this suggests a Late Ordovician origin of crown-embryophytes and a mid-Silurian origin of crown-tracheophytes.
Results
Ancestral state estimation
To establish the sequence of spore evolution, we compiled a dataset composed of 27 discrete characters describing spore morphology, spore ontogeny and life history of the parent sporophyte, for 27 extant and 11 extinct genera, representative of the principle clades of bryophytes and tracheophytes and their outgroups. A full list of characters, character states, discussions of the scores provided for each character and references used to generate those scores is provided in Supplementary Tables 1–3. Ancestral state estimation (ASE) was based on three timetrees, one containing only extant taxa14 and two further trees that also included fossil taxa and differed in the phylogenetic position of eophytes (Fig. 2). The inclusion of fossil taxa was based on phylogenetic position as resolved in cladistic studies47,48,49, with tip ages based on the minimum age of each fossil taxon (Methods) and attachment times established arbitrarily according to the mean age of the extant lineage from which they branch. To control for competing methods of ASE, we used (1) parsimony50, (2) a maximum likelihood equal-rates model51,52, (3) a maximum likelihood all-rates-different model53 and (4) Bayesian Markov chain Monte Carlo-based stochastic character mapping54,55.
Left: Timetree consisting of only extant taxa used in this study. Node ages are positioned on the mean age estimates derived in refs. 14,92. Middle: Timetree with fossil genera inserted. Here the eophytes Partitatheca and Lenticulatheca are placed as stem-embryophytes. Right: Timetree with fossil genera inserted. Here the eophytes Partitatheca and Lenticulatheca are placed as stem-tracheophytes.
Generally, ancestral state estimates were consistent across different analytical conditions and robust to the inclusion of fossil taxa; they are summarized in Fig. 3. The ancestral embryophyte was robustly inferred to have released monad spores derived from tetrads, which were unenveloped and possessed a trilete aperture (Fig. 4), with a sporoderm consisting of three layers: an outer exospore, an inner exospore of granular or amorphous sporopollenin and an endospore. The deposition of sporopollenin on white-line-centred lamellae was found to be the ancestral mode of exospore formation in embryophytes. This ancestral sporophyte is inferred to have been homosporous and exhibited monoplastidic meiosis, and to have possessed a parietal or secretory tapetum, which contributed to the formation of the exospore. Otherwise, a series of discrete character losses and gains with respect to this ancestral spore morphotype characterizes the pattern of spore evolution across the land plant clade. Mosses are recovered to have independently gained persistent spore mother cell walls and an extra-exosporal layer (perispore). In liverworts, the aperture is inferred to have been lost independently and a parietal tapetum of one cell layer gained. Cellular elaters were gained along the stem-lineage, and patterned exospore precursors appear in the Haplomitriopsida. An extra-exosporal layer derived from a persistent spore mother cell wall and cellular elaters were gained in stem-hornworts, but the tapetum was lost. The origins of the paraexospore and heterospory are recovered in the lineage leading to Selaginella and Isoetes. Me. Mesoproterozoic; Ne., Neoproterozoic; Ca., Cambrian; Or. Ordovician; S., Silurian; Ca., Carboniferous; Pe., Permian; Tr., Triassic; Ju., Jurassic; Cr., Cretaceous; Pa., Palaeogene; N., Neogene.
Key character gains and losses at nodes of interest as inferred via ASE are summarized.
Left: Marginal likelihood analysis performed under the equal-rates (ER) model of evolution. Right: Marginal likelihood analysis performed under the all-rates-different (ARD) model of evolution. Tip labels represent the state scored for each extant taxon. Node labels represent the probability that each node represents each character state.
Polyplastidic meiosis and an amoeboid tapetum are estimated as ancestral to euphyllophytes. Within the ferns, Equisetum possesses a unique form of elater in the spore wall and uniquely gained an additional sporoderm layer termed the epispore. A perispore was present in the ancestor of all remaining ferns, and an endospore layer that develops at germination was present in the ancestor of all leptosporangiate ferns.
Although many estimated node states were consistent across different analyses, some variation between analytical conditions and phylogenetic hypotheses was encountered (Fig. 4). The majority of analyses suggest that the ancestral embryophyte shed unenveloped spores, although the all-rates-different model, performed on both phylogenies that include eophytes, suggests that the ancestral embryophyte spore was enveloped. Under the all-rates-different model, endospore precursors are inferred to have been present in the ancestral embryophyte and then lost independently in the mosses and tracheophytes. Under equal rates, however, this character was lost independently in the liverworts and hornworts. Parsimony suggests that orbicules were gained in the euphyllophyte stem-lineage, but the inclusion of fossils instead results in inference of a series of repeated independent gains of this character among the tracheophytes. Finally, under parsimony, elaters are inferred to have been lost independently in mosses from the ancestral bryophyte, whereas marginal likelihood analyses suggest independent gains in the liverworts and hornworts.
Fossil calibrations
The most important conclusion drawn from this series of ancestral state estimates (Supplementary Figs. 1–56) is that the ancestral embryophyte spore was a trilete monad, a finding that is robust to all the different analytical models used across all three phylogenetic arrangements (Figs. 3 and 4). To be present in the ancestor of all embryophytes, the trilete spore must therefore be considered a character of total-group Embryophyta and must have evolved among stem-embryophytes. Consequently, fossil cryptospores cannot be crown-Embryophyta. These fossils have previously been used to constrain divergence time estimates within the embryophyte clade8,10,14, and this calibration approach requires reappraisal. The new fossil calibrations defined for this study are provided below, and a full list of all fossil calibrations used in the divergence time estimation study is provided in Supplementary Table 4.
The age constraint on the divergence of Zygnematophyceae and Embryophyta (crown-Anydrophyta) is revised to a minimum of 449.65 Ma on the basis of the occurrence of the earliest unequivocal trilete spore, Ambitisporites avitus, from level 551.0 m in Core 56 from the Qusaiba-1 core, Qasim Formation, northern Saudi Arabia18,36. The constraint on the divergence of Bryophyta and Tracheophyta (crown-Embryophyta) is revised to 459.1–426.9 Ma maximally on the basis of the oldest possible trilete spores, from Dalby Limestone from the Borenshult-1 borehole drilled in the vicinity of Motala, east of Lake Vättern in central Sweden56, and minimally on the earliest occurrence of a total-group tracheophyte, which is Cooksonia cf. pertoni from the Homerian Cloncannon Formation of Borrisnoe Mountain, County Tipperary, Ireland22,23. We did not use the Dalby Limestone spores to establish a minimum constraint because we are concerned that the trilete mark in the figured specimens might be an artefact of compression. Finally, the divergence of Lycopodiophyta and Euphyllophyta (crown-Tracheophyta) is constrained to 431.2–420.7 Ma on the basis of the same record of Cooksonia cf. pertoni and the earliest secure record of crown-Tracheophyta, which is Zosterophyllum sp. from beds equivalent to the Bathurst Island and Stuart Bay Formations, Ludlow (Silurian), exposed 14 km north of Polar Bear Pass research station, eastern Bathurst Island, Arctic Canada57. A full justification of these calibrations, following best practice58, is provided in Supplementary Table 4. A relaxed molecular clock analysis using these revised calibrations estimates crown-embryophytes to have originated in the Late Ordovician (457–450 Ma) and both crown-tracheophytes (432–428 Ma) and crown-bryophytes (445–429 Ma) to have diverged in the early Silurian (Fig. 5).
Nodes are positioned on the mean age estimates. Credit: Zygnematophyceae icon, Matt Crook, PhyloPic under a Creative Commons license CC BY-SA 3.0; Charophyceae icon, Guillaume Dera, PhyloPic under a Creative Commons license CC0 1.0.
Discussion
Spore character evolution
Despite recent changes in our understanding of the fundamental relationships among land plant clades5, some of our inferences of spore character evolution are unchanged from previous studies of sporogenesis. These characters include sporopollenin deposition along white-line-centred lamellae being plesiomorphic in embryophytes59,60, the presence of endospore and exospore layers in the ancestral spore61 and the independent loss of apertures in liverworts62. However, our results encompass a number of novel findings. The most important is that the ancestral embryophyte spore is recovered as a trilete monad. As a character of total-group Embryophyta, the appearance of trilete spores can be used to constrain the divergence of the embryophyte clade rather than the first appearance of regular, tetrahedral tetrad cryptospores. Monoplastidic meiosis appears to be ancestral to all embryophytes rather than just bryophytes61, and the ancestral embryophyte spore possessed a sporoderm consisting of an inner exospore, an outer exospore and an endospore, rather than containing a single-layered exospore or perispore62. The perispore, an extra-exosporal layer (sometimes also referred to as the perine), is consistently reconstructed as absent in the ancestral embryophyte62.
Although many results were recovered across all analytical conditions, some character state histories were inferred differently depending on the assumed model of evolution used or the inclusion of fossil specimens in the analysis. ASE includes a range of approaches that aim to infer patterns of character evolution, across traits that can be described using continuous or discrete data. Despite the breadth of methodologies available, and some evidence that likelihood-based methods deliver more accurate results than parsimony63,64, there remains little consensus as to which methods produce results with the highest levels of accuracy or precision65,66. A recent simulation study demonstrated that the equal-rates model was the most accurate in the greatest number of simulations, and that the all-rates-different model frequently overestimated transition rates between character states66. It is likely that the unique reconstructions resolved under the all-rates-different model are driven by the proximity of Partitatheca, an eophyte that produced enveloped dyads, to the embryophyte node. Given that the phylogenetic position of Partitatheca is not well evidenced, we used the equal-rates model as a benchmark for the assessment of ASEs66 and sought consensus between ancestral states inferred under different analytical conditions.
The above leads us to the caveat that while debate over the phylogenetic relationships of extant plant taxa is generally agreed5 (but see ref. 44), this is not the case for fossil early land plants. For example, one of our timetrees places the eophytes as stem-tracheophytes, while other researchers have suggested that the eophytes are stem-embryophytes42 (Fig. 2). The position of the eophytes has yet to be formally tested using a cladistic analysis, and it will be interesting to see where they are situated in the phylogeny and whether this affects the importance of traditional cryptospores in studies such as ours.
The timescale of land plant evolution
Although molecular clock studies have provided estimates for the divergence of crown-embryophytes ranging from the Mesoproterozoic13,17 to the Early Ordovician12, there has been convergence on a late Cambrian to Early Ordovician origin in recent studies10,14 (but see ref. 13) (Fig. 1). Harris et al.14 commented on the sensitivity of the embryophyte node to different calibration strategies, a finding that is borne out in our analysis. The use of revised fossil calibrations results in a much later age estimate for crown-Embryophyta (450–457 Ma; Sandbian-Katian, Late Ordovician; Fig. 5), the mean of which is 55 Myr younger than the equivalent estimate, using the same molecular dataset, in Harris et al.14. Although most dates are congruent with this previous study, our revised calibrations result in younger and more precise estimates for the divergence of the deepest nodes in land plant phylogeny. This is most apparent in the divergence of crown-embryophytes, estimated to have occurred during a narrow 7-Myr interval in the Late Ordovician (Fig. 5). The divergence estimates of the tracheophyte, euphyllophyte, lycophyte, bryophyte, setaphyte, liverwort and moss crown clades are also much younger and more precise in this analysis (Fig. 5 and Extended Data Figs. 1–3). The Late Ordovician estimate for the origin of crown-embryophytes brings the findings of molecular clock studies into closer accord with traditional interpretations of the fossil record. Previous estimates of a Cambro-Ordovician origin of crown-embryophytes implied that there was a gap of up to 80 Myr between the genetic divergence of the lineage and the first appearance of unequivocal land plants in the fossil record14,22,25. In light of this analysis, the mismatch between palaeontological and molecular clock estimates is reduced to as little as 19 Myr. Our results further suggest that the divergence of crown-tracheophytes was coincident with the earliest known specimens of Cooksonia, a stem-tracheophyte8,22,67. This convergence between our molecular timescale and the fossil record may suggest that our study is a better approximation of the true timescale than previous studies. Previous molecular clock studies differ in that they are based on different molecular data and implement different methodological assumptions including the underlying topology, partition strategy and clock model6,7,8,9,10,11,12,13,14,15,16,17. However, these studies differ most importantly in terms of how they interpret and implement the fossil record, which has the most influential impact on the ensuing timescale5,11,68. We find confidence in our timescale because it integrates formal interpretation of the spore fossil record of early land plants, which dominates the first tens of millions of years of the land plant fossil record20. Doubtless, however, this will not be the final attempt to estimate the timescale of early land plant evolution, and nor should it, as future studies explore the impacts of different assumptions and interpret the underlying data in different ways.
In the interim, it is pertinent to consider the implications of our revised timescale of early land plant evolution for hypotheses that seek to explain their impact on the Earth system. The initial diversification of land plants has been implicated in global climate shifts through the Ordovician. The gradual decline of CO2 levels exhibited through the Ordovician has been connected to Late Ordovician glaciations associated with a marine mass extinction2. On the basis of modelling the weathering potential of the moss Physcomitrium patens, the diversification of non-vascular plants was found to have sufficiently amplified silicate weathering to result in modelled atmospheric CO2 levels consistent with those necessary to cause this period of glaciation2. Land plant diversification has also been implicated in the increase in Palaeozoic atmospheric oxygen to modern levels by 400 Ma through increases in global carbon burial69. These models are predicated on a diversification of non-vascular land plants from 470 Ma based on the diversity of regular tetrad cryptospores in the fossil record70,71. Other models have suggested a key window of opportunity for early plant diversification at around 470 Ma, followed by a period of increasing aridity and cooling, which reduced the habitability of the Earth surface for plants, aligned with the appearance of vascular plant adaptations for water acquisition and retention72. Our revised timescale for land plant diversification (Fig. 5) may require reassessment of the assumptions under which this modelling was undertaken. Our timescale estimates crown-embryophyte diversification within the interval 457–450 Ma and the appearance of crown-tracheophytes 428–432 Ma (Fig. 5), discordant with many climate and biogeochemical models that have assumed diversification of crown-tracheophytes on the basis of the first appearance of unequivocal trilete spores in the Late Ordovician, ~450 Ma36,37,69. However, many of the characteristics of crown-embryophytes and crown-tracheophytes would have been established within their respective stem-lineages. ASE may aid in constraining the uncertainty associated with the capacity of stem-embryophytes for early land floras to exert sufficient effects on global nutrient flux to trigger the magnitude of carbon drawdown required to effect the end-Ordovician glaciations71,73.
Conclusions
The ancestral land plant spore was a naked monad with a trilete mark, a finding that is robust to different evolutionary models and phylogenetic hypotheses. This finding also has important implications for how we constrain studies of the rate and tempo of land plant evolution. The first appearance of trilete spores can be used as a soft maximum constraint on the divergence of the embryophyte clade. Recalibrating a molecular clock in this way reveals that the land plants originated 457–450 Ma in the Late Ordovician, some 55 Myr later than previously thought. It is uncontroversial to say that the evolution of land plants fundamentally transformed the surface of the Earth, and that their terrestrialization enabled other kingdoms of life to flourish on land. Our findings suggest that further efforts are required to fully understand the impact that the earliest land plants had on the evolution of the Earth system.
Methods
Character matrix construction and scoring
As noted in the main text, the evolution of plant spore characteristics is unresolved. This is largely a consequence of the considerable difficulties in identifying and scoring suitable characters in extant plants and applying these to fossil plants and their in situ and dispersed spores. The reasons for this include the following: (1) certain groups of land plants have relatively few detailed studies of sporogenesis (for example, hornworts), and the taxa reported on often are not phylogenetically well distributed; (2) since modern electron microscope studies of sporogenesis commenced in the 1960s, character reporting has varied, meaning that for most taxa we know only a subset of their character states; (3) the aforementioned problem has been compounded by the development of widely varying terminologies, with the result that it is often very difficult to interpret previous reports, and there is considerable confusion over the terminology and scoring of character states; and (4) as is usual in biology, exceptions (with respect to character states) are often reported, making generalizations and conjectures difficult. We have attempted to take a pragmatic approach to overcome these difficulties. This has involved (1) careful selection of taxa whose spore development is well known, while attempting to maintain adequate phylogenetic coverage among the few taxa selected for each plant group; and (2) scoring where possible from primary reports but using generalizations and conjectures (based largely on review articles) to iron out the ambiguities reported in the literature and thus reduce the proportion of unscored characters in the matrix.
We compiled a morphological dataset composed of 27 discrete characters describing spore morphology, spore ontogeny and life history of the parent sporophyte. The data matrix, character definitions, scoring and discussion, as well as the literature sources used in scoring, are presented in Supplementary Tables 1–3. Previous studies of spore character evolution have been performed on narrower samples of extant land plant diversity and under the phylogenetic assumption that bryophytes are a paraphyletic array of early-diverging land plants, often assuming that liverworts most closely resemble the ancestral land plant body plan43,59,61,74,75. In this study, taxa were selected from across the main clades of living land plants to investigate whether the current working phylogenetic assumption of bryophyte monophyly affects the estimation of ancestral character states.
A total of 27 extant genera and 23 extinct genera comprise the total taxon sample. The extant sample consists of 24 genera representing members of the major divisions of land plant diversity (3 hornworts, 4 liverworts, 4 mosses, 4 lycophytes, 4 eusporangiate ferns, 4 leptosporangiate ferns and 1 spermatophyte) and 3 algal genera representing successive outgroups to Embryophyta (including the Zygnematophyceae, sister taxon to Embryophyta). Published data on sporogenesis is generally limited for all of these groups. For example, regarding the bryophytes, there are published data on only 3 hornwort taxa, ~40 liverwort taxa and ~25 moss taxa, and most of these reports have incomplete character coverage. We selected taxa that are well known in terms of sporogenesis characters while also attempting to use the few representative taxa for each group to cover phylogeny without being biased towards early divergent forms or model taxa.
The fossil taxon sample consisted of 11 plant megafossil taxa of known phylogenetic affinity and 12 dispersed spore taxa. The former consist primarily of fossil tracheophytes; this reflects both a general paucity of unequivocal bryophyte fossils occurring before the Devonian and the small number of early land plant fossil taxa that yield in situ spores that have been studied ultrastructurally76. The dispersed palynomorph taxon includes examples of Middle Ordovician and younger ‘traditional’ cryptospores (permanently fused tetrads and dyads and hilate cryptospores derived from dyads) and more controversial Cambrian ‘cryptospores’ from the Bright Angel Shale. Fossil genera were chosen to be positioned close to the internal nodes of the extant phylogeny and for sufficient availability of published ultrastructural data from transmission electron microscopy studies that could be used to populate the character matrix.
Ancestral state estimation
ASE was based on three different phylogenetic timetrees (Fig. 2). The first contained the extant taxon sample based only on the phylogeny recovered by a previous molecular phylogenetic study14. Node ages in this timetree were fixed to the mean divergence times estimated in ref. 14. The taxon sample used in this study did not match exactly, so four taxa (Anemia, Ophioglossum, Riccardia and Apotreubia) were grafted on using divergence time estimates from ref. 77 instead. Simulation studies have shown that the inclusion of fossil taxa is important to return more accurate results by breaking long branches and increasing the number of tips66,78. Thus, two further timetrees were constructed, both of which contained fossil genera that can be placed phylogenetically. These trees differed only in the placement of the eophytes Lenticulatheca and Partitatheca, representing their unresolved position as either stem-tracheophytes or stem-embryophytes34,39. As yet, there is no consensus understanding of the phylogenetic position of the diversity of early land plant megafossils within an updated framework of bryophyte monophyly. The position of each fossil taxon in the phylogeny was therefore taken from published cladistic studies47,48,49, tip ages were defined as the minimum date of the scored specimen based on published ages34,39,79,80,81,82,83,84,85,86,87,88, and their divergence times were calculated to bisect the relevant branch of the extant phylogeny according to the insertion point of the fossil taxon.
The ancestral character states for all characters were then estimated across these three phylogenetic hypotheses under four different analytical conditions to understand the effect of fossil taxon inclusion and evolutionary model, given that there is little agreement about the best conditions under which to perform ASE65,66. Probabilistic node states were calculated in the following ways: (a) node states were estimated under maximum parsimony using the function ancPropStateMat in the R package paleotree v.3.4.7 (ref. 50), (b) node states were calculated under maximum likelihood applying the equal-rates model of evolution using the ancr function in phytools v.2.4.4 (refs. 51,52), (c) maximum likelihood was used to calculate node states under the all-rates-different model53 using the ancr function and (d) stochastic character mapping54 was used to generate ancestral states under a Bayesian Markov chain Monte Carlo approach, using the make.simmap function in the R package phytools, itself an extension of the ace function in the R package ape v.5.8.1 (ref. 55). The algorithm used the equal-rates model of evolution and ran for 10,000 generations (sampling every 10). The resulting sample of character maps was used to generate the posterior probability distribution for node states throughout each phylogenetic hypothesis. The results of all ASE analyses are provided in Supplementary Figs. 1–56 and summarized in Figs. 3 and 4.
Divergence time estimation
To assess the effect of newly derived fossil calibrations on the origin of the embryophyte clade, divergence time estimation was carried out using amino acid sequence and tree topology data published in ref. 14. Fossil calibrations for key nodes were defined as equal probability distributions between minimum and maximum constraints, with a 2.5% probability of either the minimum or the maximum being exceeded. Most fossil calibrations were borrowed from previous studies10,14,89, while calibrations for the divergence of Embryophyta from the streptophytes, the divergence of Embryophyta into Tracheophyta and Bryophyta, and the divergence of Tracheophyta into Euphyllophyta and Lycopodiophyta were defined anew. In defining these calibrations, best practice as outlined in ref. 58 was followed, and the full calibrations are provided in Supplementary Table 4. Branch lengths were initially estimated using codeml v.4.10.7 (ref. 90). The divergence time estimation was performed using the analytical conditions published in ref. 14 using the normal approximation method in v.4.10.7 (ref. 90). The Markov chain Monte Carlo run was first performed without data to assess the effective prior and then performed with sequence data for 1,250,000 generations (sampling every 250) to achieve convergence with a 25% burn in. Convergence was assessed in Tracer v.1.7.2 (ref. 91).
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Data availability
The source data used in this study are available via data.bris at https://doi.org/10.5523/bris.my0fgbqr45ir2b4tva1tachu7.
Code availability
The code and software command files used in this study, along with the outputs, are available via data.bris at https://doi.org/10.5523/bris.my0fgbqr45ir2b4tva1tachu7.
References
Shear, W. A. The early development of terrestrial ecosystems. Nature 351, 283–289 (1991).
Lenton, T. M., Crouch, M., Johnson, M., Pires, N. & Dolan, L. First plants cooled the Ordovician. Nat. Geosci. 5, 86–89 (2012).
Boyce, C. K. & Lee, J.-E. Plant evolution and climate over geological timescales. Annu. Rev. Earth Planet. Sci. 45, 61–87 https://doi.org/10.1146/annurev-earth-063016-015629 (2017).
Berbee, M. L. et al. Genomic and fossil windows into the secret lives of the most ancient fungi. Nat. Rev. Microbiol. 18, 717–730 https://doi.org/10.1038/s41579-020-0426-8 (2020).
Donoghue, P. C. J., Harrison, C. J., Paps, J. & Schneider, H. The evolutionary emergence of land plants. Curr. Biol. 31, R1281–R1298 https://doi.org/10.1016/j.cub.2021.07.038 (2021).
Heckman, D. S. et al. Molecular evidence for the early colonization of land by fungi and plants. Science 293, 1129–1133 (2001).
Smith, S. A., Beaulieu, J. M. & Donoghue, M. J. An uncorrelated relaxed-clock analysis suggests an earlier origin for flowering plants. Proc. Natl Acad. Sci. USA 107, 5897–5902 https://doi.org/10.1073/pnas.1001225107 (2010).
Clarke, J. T., Warnock, R. C. & Donoghue, P. C. Establishing a time-scale for plant evolution. New Phytol. 192, 266–301 https://doi.org/10.1111/j.1469-8137.2011.03794.x (2011).
Magallon, S., Hilu, K. W. & Quandt, D. Land plant evolutionary timeline: gene effects are secondary to fossil constraints in relaxed clock estimation of age and substitution rates. Am. J. Bot. 100, 556–573 https://doi.org/10.3732/ajb.1200416 (2013).
Morris, J. L. et al. The timescale of early land plant evolution. Proc. Natl Acad. Sci. USA 115, E2274–E2283 https://doi.org/10.1073/pnas.1719588115 (2018).
Hedges, S. B., Tao, Q., Walker, M. & Kumar, S. Accurate timetrees require accurate calibrations. Proc. Natl Acad. Sci. USA 115, E9510–E9511 https://doi.org/10.1073/pnas.1812558115 (2018).
Nie, Y. et al. Accounting for uncertainty in the evolutionary timescale of green plants through clock-partitioning and fossil calibration strategies. Syst. Biol. 69, 1–16 https://doi.org/10.1093/sysbio/syz032 (2020).
Su, D. et al. Large-scale phylogenomic analyses reveal the monophyly of bryophytes and Neoproterozoic origin of land plants. Mol. Biol. Evol. 38, 3332–3344 (2021).
Harris, B. J. et al. Divergent evolutionary trajectories of bryophytes and tracheophytes from a complex common ancestor of land plants. Nat. Ecol. Evol. 6, 1634–1643 https://doi.org/10.1038/s41559-022-01885-x (2022).
Shen, C., Li, H., Shu, L., Huang, W. Z. & Zhu, R. L. Ancient large-scale gene duplications and diversification in bryophytes illuminate the plant terrestrialization. New Phytol. 245, 2292–2308 https://doi.org/10.1111/nph.20221 (2024).
Dong, S. et al. Bryophytes hold a larger gene family space than vascular plants. Nat. Genet. 57, 2562–2569 https://doi.org/10.1038/s41588-025-02325-9 (2025).
Hu, S. et al. Comprehensive sampling of mitochondrial genomes substantiates the Neoproterozoic origin of land plants. Plant Commun. 6, 101497 https://doi.org/10.1016/j.xplc.2025.101497 (2025).
Wellman, C. H., Steemans, P. & Miller, M. A. Spore assemblages from Upper Ordovician and lowermost Silurian sediments recovered from the Qusaiba-1 shallow core hole, Qasim region, central Saudi Arabia. Rev. Palaeobot. Palynol. 212, 111–126 (2015).
Strother, P. K., Taylor, W. A., Beck, J. H. & Vecoli, M. Ordovician spore ‘thalli’ and the evolution of the plant sporophyte. Palynology 41, 57–68 https://doi.org/10.1080/01916122.2017.1361213 (2017).
Strother, P. K. & Foster, C. B. A fossil record of land plant origins from charophyte algae. Science 373, 792–796 (2021).
Strother, P. K. & Taylor, W. A. A fossil record of spores before sporophytes. Diversity 16, 428 https://doi.org/10.3390/d16070428 (2024).
Edwards, D. & Feehan, J. Records of Cooksonia-type sporangia from late Wenlock strata in Ireland. Nature 287, 41–42 (1980).
Edwards, D., Feehan, J. & Smith, D. G. A late Wenlock flora from Co Tipperary, Ireland. Bot. J. Linn. Soc. 86, 19–36 (1983).
Taylor, W. A. & Strother, P. K. Ultrastructure of some Cambrian palynomorphs from the Bright Angel Shale, Arizona, USA. Rev. Palaeobot. Palynol. 151, 41–50 https://doi.org/10.1016/j.revpalbo.2008.01.012 (2008).
Libertin, M., Kvacek, J., Bek, J., Zarsky, V. & Storch, P. Sporophytes of polysporangiate land plants from the early Silurian period may have been photosynthetically autonomous. Nat. Plants 4, 269–271 https://doi.org/10.1038/s41477-018-0140-y (2018).
Brooks, J. M. & Shaw, G. Sporopollenin: a review of its chemistry, palaeochemistry and geochemistry. Grana 17, 91–97 (1978).
Strother, P. K. & Beck, J. H. in Pollen and Spores: Morphology and Biology (eds Harley, M. M. et al.) 413–424 (Royal Botanic Gardens Kew, 2000).
Strother, P. K. & DiMichele, W. A. Cryptospores: the origin and early evolution of the terrestrial flora. in Phanerozoic Terrestrial Ecosystems (eds Gastaldo, R. A. & DiMichele, W. A.) 3–19 (Paleontological Society, 2000).
Dotzler, N. et al. Acaulosporoid glomeromycotan spores with a germination shield from the 400-million-year-old Rhynie chert. Mycol. Prog. 8, 9–18 https://doi.org/10.1007/s11557-008-0573-1 (2008).
Strother, P. K. Systematics and evolutionary significance of some new cryptospores from the Cambrian of eastern Tennessee, USA. Rev. Palaeobot. Palynol. 227, 28–41 https://doi.org/10.1016/j.revpalbo.2015.10.006 (2016).
Yin, L., Zhao, Y., Bian, L. & Peng, J. Comparison between cryptospores from the Cambrian Log Cabin Member, Pioche Shale, Nevada, USA and similar specimens from the Cambrian Kaili Formation, Guizhou, China. Sci. China Earth Sci. 56, 703–709 (2013).
Strother, P. K. An evo-devo perspective on no Ordovician land plants. Estonian J. Earth Sci. 72, 102–105 https://doi.org/10.3176/earth.2023.31 (2023).
Gray, J. The microfossil record of early land plants: advances in understanding of early terrestrialization. Philos. Trans. R. Soc. Lond. B 309, 167–195 (1985).
Edwards, D., Morris, J. L., Axe, L. & Duckett, J. G. Picking up the pieces: new charcoalified plant mesofossils (eophytes) from a Lower Devonian Lagerstӓtte in the Welsh Borderland, UK. Rev. Palaeobot. Palynol. 297, 104567 https://doi.org/10.1016/j.revpalbo.2021.104567 (2022).
Wellman, C. H. & Gray, J. The microfossil record of early land plants. Philos. Trans. R. Soc. Lond. B 355, 717–731 (2000).
Steemans, P. et al. Origin and radiation of the earliest vascular land plants. Science 324, 353–353 https://doi.org/10.1126/science.1169659 (2009).
Kenrick, P., Wellman, C. H., Schneider, H. & Edgecombe, G. D. A timeline for terrestrialization: consequences for the carbon cycle in the Palaeozoic. Philos. Trans. R. Soc. B 367, 519–536 https://doi.org/10.1098/rstb.2011.0271 (2012).
Wellman, C. H., Steemans, P. & Vecoli, M. in Early Palaeozoic Biogeography and Palaeogeography: Memoirs of the Geological Society 38 (eds Harper, D. A. T. & Servais, T.) 461–476 (Geological Society, 2013).
Edwards, D., Morris, J. L., Richardson, J. L. & Kenrick, P. Cryptospores and cryptophytes reveal hidden diversity in early land floras. New Phytol. 202, 50–78 (2014).
Brown, R. C., Lemmon, B. E. & Carothers, Z. B. Spore wall ultrastructure of Sphagnum lescurii Sull. Rev. Palaeobot. Palynol. 38, 99–107 (1982).
Renzaglia, K. S., McFarland, K. D. & Smith, D. K. Anatomy and ultrastructure of the sporophyte of Takakia ceratophylla (Bryophyta). Am. J. Bot. 84, 1337 (1997).
Wellman, C. H. et al. Low tropical diversity during the adaptive radiation of early land plants. Nat. Plants 8, 104–109 https://doi.org/10.1038/s41477-021-01067-w (2022).
Brown, R. C. & Lemmon, B. E. Spores before sporophytes: hypothesizing the origin of sporogenesis at the algal–plant transition. New Phytol. 190, 875–881 https://doi.org/10.1111/j.1469-8137.2011.03709.x (2011).
Qiu, Y.-L. & Mishler, B. D. Relationships among the bryophytes and vascular plants: a case study in deep-time reconstruction. Diversity 16, 426 https://doi.org/10.3390/d16070426 (2024).
Puttick, M. N. et al. The interrelationships of land plants and the nature of the ancestral embryophyte. Curr. Biol. 28, R210–R213 https://doi.org/10.1016/j.cub.2018.01.063 (2018).
Sousa, F., Foster, P. G., Donoghue, P. C. J., Schneider, H. & Cox, C. J. Nuclear protein phylogenies support the monophyly of the three bryophyte groups (Bryophyta Schimp.). New Phytol. 222, 565–575 https://doi.org/10.1111/nph.15587 (2019).
Zhang, Y.-Y., Xue, J.-Z., Liu, L. & Wang, D.-M. Periodicity of reproductive growth in lycopsids: an example from the Upper Devonian of Zhejiang Province, China. Palaeoworld 25, 12–20 (2016).
Hetherington, A. J. & Dolan, L. The evolution of lycopsid rooting structures: conservatism and disparity. New Phytol. 215, 538–544 https://doi.org/10.1111/nph.14324 (2017).
Cascales-Miñana, B., Steemans, P., Servais, T., Lepot, K. & Gerrienne, P. An alternative model for the earliest evolution of vascular plants. Lethaia https://doi.org/10.1111/let.12323 (2019).
Bapst, D. W. paleotree: an R package for paleontological and phylogenetic analyses of evolution. Methods Ecol. Evol. 3, 803–807 https://doi.org/10.1111/j.2041-210X.2012.00223.x (2012).
Lewis, P. O. A likelihood approach to estimating phylogeny from discrete morphological character data. Syst. Biol. 50, 913–925 (2001).
Revell, L. J. phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3, 217–223 (2012).
Paradis, E., Claude, J. & Strimmer, K. APE: analyses of phylogenetics and evolution in R language. Bioinformatics 20, 289–290 (2004).
Huelsenbeck, J. P., Nielsen, R., Bollback, J. P. & Schultz, T. Stochastic mapping of morphological characters. Syst. Biol. 52, 131–158 https://doi.org/10.1080/10635150390192780 (2003).
Paradis, E. & Schliep, K. ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics 35, 526–528 (2019).
Rubinstein, C. V. & Vajda, V. Baltica cradle of early land plants? Oldest record of trilete spores and diverse cryptospore assemblages; evidence from Ordovician successions of Sweden. GFF 141, 181–190 https://doi.org/10.1080/11035897.2019.1636860 (2019).
Kotyk, M. E., Basinger, J. F., Gensel, P. G. & de Freitas, T. A. Morphologically complex plant macrofossils from the Late Silurian of Arctic Canada. Am. J. Bot. 89, 1004–1013 (2002).
Parham, J. F. et al. Best practices for justifying fossil calibrations. Syst. Biol. 61, 346–359 https://doi.org/10.1093/sysbio/syr107 (2012).
Brown, R. C. & Lemmon, B. E. in Microspores: Evolution and Ontogeny (eds Blackmore, S. & Knox, R. B.) 55–94 (Academic Press, 1990).
Brown, C. T. et al. Unusual biology across a group comprising more than 15% of domain Bacteria. Nature 523, 208–211 https://doi.org/10.1038/nature14486 (2015).
Brown, R. C., Lemmon, B. E., Shimamura, M., Villarreal, J. C. & Renzaglia, K. S. Spores of relictual bryophytes: diverse adaptations to life on land. Rev. Palaeobot. Palynol. 216, 1–17 https://doi.org/10.1016/j.revpalbo.2015.01.004 (2015).
Renzaglia, K. S., Ashton, N. W. & Suh, D.-Y. Sporogenesis in Physcomitrium patens: intergenerational collaboration and the development of the spore wall and aperture. Front. Cell Dev. Biol. 11, 1165293 (2023).
Gascuel, O. & Steel, M. A Darwinian uncertainty principle. Syst. Biol. 69, 521–529 (2020).
Holland, B. R., Ketelaar-Jones, S., O’Mara, A. R., Woodhams, M. D. & Jordan, G. J. Accuracy of ancestral state reconstruction for non-neutral traits. Sci. Rep. 10, 7644 https://doi.org/10.1038/s41598-020-64647-4 (2020).
Revell, L. J. & Harmon, L. J. Phylogenetic Comparative Methods in R (Princeton Univ. Press, 2022).
Keating, J. N. What is the best method for estimating ancestral states from discrete characters? Preprint at bioRxiv https://doi.org/10.1101/2023.08.31.555762 (2023).
Edwards, D., Fanning, U. & Richardson, J. B. Stomata and sterome in early land plants. Nature 323, 438–440 https://doi.org/10.1038/323438a0 (1986).
Morris, J. L. et al. Reply to Hedges et al.: accurate timetrees do indeed require accurate calibrations. Proc. Natl Acad. Sci. USA 115, E9512–E9513 https://doi.org/10.1073/pnas.1812816115 (2018).
Lenton, T. M. et al. Earliest land plants created modern levels of atmospheric oxygen. Proc. Natl Acad. Sci. USA 113, 9704–9709 https://doi.org/10.1073/pnas.1604787113 (2016).
Rubinstein, C. V., Gerrienne, P., De La Puente, G. S., Astini, R. A. & Steemans, P. Early Middle Ordovician evidence for land plants in Argentina (eastern Gondwana). New Phytol. 188, 365–369 (2010).
Quirk, J. et al. Constraining the role of early land plants in Palaeozoic weathering and global cooling. Proc. R. Soc. B 282, 20151115 https://doi.org/10.1098/rspb.2015.1115 (2015).
Gurung, K. et al. Climate windows of opportunity for plant expansion during the Phanerozoic. Nat. Commun. 13, 4530 https://doi.org/10.1038/s41467-022-32077-7 (2022).
Porada, P. et al. High potential for weathering and climate effects of non-vascular vegetation in the Late Ordovician. Nat. Commun. 7, 12113 https://doi.org/10.1038/ncomms12113 (2016).
Blackmore, S., Takahashi, M. & Uehara, K. in Pollen and Spores: Morphology and Biology (eds Harley, M. et al.) 109–124 (Royal Botanic Gardens Kew, 2000).
Brown, R. C. & Lemmon, B. E. Sporogenesis in bryophytes: patterns and diversity in meiosis. Bot. Rev. 79, 178–280 (2013).
Tomescu, A. M. F., Bomfleur, B., Bippus, A. C. & Savoretti, A. Why are bryophytes so rare in the fossil record? A spotlight on taphonomy and fossil preservation. in Transformative Paleobotany (eds Krings, M., et al.) 375–416 (Elsevier, 2018).
Clark, J. W. & Donoghue, P. C. J. Constraining whole-genome duplication events in geological time. Methods Mol. Biol. 2545, 139–154 https://doi.org/10.1007/978-1-0716-2561-3_7 (2023).
Puttick, M. N. Partially incorrect fossil data augment analyses of discrete trait evolution in living species. Biol. Lett. 12, 20160392 https://doi.org/10.1098/rsbl.2016.0392 (2016).
Edwards, D., Davies, K. L., Richardson, J. B. & Axe, L. The ultrastructure of spores of Cooksonia pertoni. Palaeontology 38, 153–168 (1995).
Wellman, C. H., Kerp, H. & Hass, H. Spores of the Rhynie chert plant Horneophyton lignieri (Kidston & Lang) Barghoorn & Darrah, 1938. Earth Environ. Sci. Trans. R. Soc. Edinb. 94, 429–443 (2003).
Wellman, C. H., Gensel, P. G. & Taylor, W. A. Spore wall ultrastructure in the early lycopsid Leclercqia (Protolepidodendrales) from the Lower Devonian of North America: evidence for a fundamental division in the lycopsids. Am. J. Bot. 96, 1849–1860 https://doi.org/10.3732/ajb.0800422 (2009).
Wellman, C. H. Ultrastructure of dispersed and in situ specimens of the Devonian spore Rhabdosporites langii: evidence for the evolutionary relationships of progymnosperms. Palaeontology 52, 139–167 (2009).
Morris, J. L., Edwards, D., Richardson, J. B., Axe, L. & Davies, K. L. New plant taxa from the Lower Devonian (Lochkovian) of the Welsh Borderland, with a hypothesis on the relationship between hilate and trilete spore producers. Rev. Palaeobot. Palynol. 167, 51–81 https://doi.org/10.1016/j.revpalbo.2011.06.007 (2011).
Edwards, D., Richardson, J. B., Axe, L. & Davies, K. L. A new group of Early Devonian plants with valvate sporangia containing sculptured permanent dyads. Bot. J. Linn. Soc. 168, 229–257 (2012).
Morris, J., Edwards, D., Richardson, J. B., Axe, L. & Davies, K. Further insights into trilete spore producers from the Early Devonian (Lochkovian) of the Welsh Borderland, UK. Rev. Palaeobot. Palynol. 185, 35–63 (2012).
Gensel, P. G., Wellman, C. H. & Taylor, W. A. Spore wall ultrastructure of the Lower Devonian zosterophylls Renalia hueberi and Zosterophyllum divaricatum. Int. J. Plant Sci. 174, 1302–1313 (2013).
Noetinger, S., Strayer, S. L. & Tomescu, A. M. Spore wall ultrastructure and development in a basal euphyllophyte: Psilophyton dawsonii from the Lower Devonian of Quebec (Canada). Am. J. Bot. 105, 1212–1223 (2018).
Taylor, W. A. Spore wall ultrastructure in the Tournaisian lycopsid Oxroadia gracilis. Int. J. Plant Sci. 180, 571–577 (2019).
Barba-Montoya, J., Dos Reis, M., Schneider, H., Donoghue, P. C. J. & Yang, Z. Constraining uncertainty in the timescale of angiosperm evolution and the veracity of a Cretaceous Terrestrial Revolution. New Phytol. 218, 819–834 https://doi.org/10.1111/nph.15011 (2018).
Yang, Z. PAML 4: a program package for phylogenetic analysis by maximum likelihood. Mol. Biol. Evol. 24, 1586–1591 (2007).
Rambaut, A., Drummond, A. J., Xie, D., Baele, G. & Suchard, M. A. Posterior summarization in Bayesian phylogenetics using Tracer 1.7. Syst. Biol. 67, 901–904 https://doi.org/10.1093/sysbio/syy032 (2018).
Clark, J. W. Genome evolution in plants and the origins of innovation. New Phytol. 240, 2204–2209 https://doi.org/10.1111/nph.19242 (2023).
Acknowledgements
We thank S. Álvarez-Carretero (University College London), J. N. Keating and the remaining members of the Bristol Palaeobiology Research Group for discussion. This project was completed in partial fulfilment of the MSc Palaeobiology by J.H. and through a summer internship for A.M.W. We thank the University of Bristol HPC team for technical support.
Funding
This research was supported by a Prize Fellowship from the University of Bath (to J.W.C.), Natural Environment Research Council research grant NE/V001639/1 (to C.H.W.) and Biotechnology and Biological Sciences Research Council research grants BB/Y003624/1 and BB/Z51746X/1 (to P.C.J.D.).
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J.W.C. and P.C.J.D. conceived and designed the study. P.C.J.D. supervised the project and obtained the funding. J.H., C.H.W. and A.M.W. compiled the phenotypic dataset. J.H. and J.W.C. performed the analyses. J.H. produced the original draft of the paper. All authors contributed to the paper and approved the final version.
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Extended data
Extended Data Fig. 1 Divergence time estimates for nodes in the Viridiplantae in millions of years before present, as inferred using a molecular clock model and 68 fossil calibrations, based on Harris et al.14.
Nodes are positioned on the mean age estimate, and the green bars represent the 95% highest posterior density distribution.
Extended Data Fig. 2 Divergence time estimate for the divergence of crown-Embryophyta in millions of years before present, as inferred using a molecular clock model and 68 fossil calibrations.
Nodes are positioned on the mean age estimate, and the green bar represents the width of the 95% highest posterior density distribution for the divergence of node 184, crown-Embryophyta.
Extended Data Fig. 3 Comparison between divergence time estimates derived in this study and those of14, produced in Tracer91.
Boxes represent the 95% highest posterior density intervals, whiskers represent the full range of divergence time estimates sampled in each run, the central line in each box is placed on the mean age estimate. a: Node 184, crown-Embryophyta. b: Node 185, crown-Tracheophyta. c: Node 186, crown-Euphyllophyta. d: Node 272, crown-Lycophyta. e: Node 285: crown-Bryophyta. f: Node 286, crown-Setaphyta. g: Node 287, crown-Marchantiophyta. h: Node 310, crown-Bryopsida.
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Supplementary Tables 1–4 and Figs. 1–56.
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Hooper, J., Worth, A.M., Wellman, C.H. et al. Reconstructing spore evolution recalibrates the timescale of land plant diversification. Nat. Plants (2026). https://doi.org/10.1038/s41477-026-02432-3
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DOI: https://doi.org/10.1038/s41477-026-02432-3







