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. 2022 Feb 9;18(2):20210603. doi: 10.1098/rsbl.2021.0603

The impact of molecular data on the phylogenetic position of the putative oldest crown crocodilian and the age of the clade

Gustavo Darlim 1,, Michael S Y Lee 2,3, Jules Walter 1,4, Márton Rabi 1,5,
PMCID: PMC8825999  PMID: 35135314

Abstract

The use of molecular data for living groups is vital for interpreting fossils, especially when morphology-only analyses retrieve problematic phylogenies for living forms. These topological discrepancies impact on the inferred phylogenetic position of many fossil taxa. In Crocodylia, morphology-based phylogenetic inferences differ fundamentally in placing Gavialis basal to all other living forms, whereas molecular data consistently unite it with crocodylids. The Cenomanian Portugalosuchus azenhae was recently described as the oldest crown crocodilian, with affinities to Gavialis, based on morphology-only analyses, thus representing a potentially important new molecular clock calibration. Here, we performed analyses incorporating DNA data into these morphological datasets, using scaffold and supermatrix (total evidence) approaches, in order to evaluate the position of basal crocodylians, including Portugalosuchus. Our analyses incorporating DNA data robustly recovered Portugalosuchus outside Crocodylia (as well as thoracosaurs, planocraniids and Borealosuchus spp.), questioning the status of Portugalosuchus as crown crocodilian and any future use as a node calibration in molecular clock studies. Finally, we discuss the impact of ambiguous fossil calibration and how, with the increasing size of phylogenomic datasets, the molecular scaffold might be an efficient (though imperfect) approximation of more rigorous but demanding supermatrix analyses.

Keywords: Crocodylia, molecular data, divergence-age, calibration, Portugalosuchus

1. Introduction

In phylogenetic analyses, DNA data for living groups are often vital for interpreting the position of fossil taxa, as adaptive convergence in morphological characters can strongly mislead phylogenetic analyses [17]. Although molecular analysis in Crocodylia using both mitochondrial and nuclear DNA has consistently favoured a common topology [1,812], analyses focused on fossil crocodylians often continue to use morphology-only datasets, which do not retrieve the molecular tree for living crocodilians (e.g. [1317]). Phylogenetic inference based on morphology alone places Gavialis gangeticus sister to all other living crocodilians (i.e. alligators and crocodiles) [1821], while molecular data unite Gavialis with Tomistoma as sister to Crocodylidae alone [1,810,2225]. Recent morphological studies, however, have presented strong evidence that numerous apparently plesiomorphic character states in Gavialis are instead atavistic, consistent with the molecular tree [16,21,26]. Fossil taxa close to the root of Crocodylia, and/or with a Gavialis-like morphology, are particularly susceptible to considerable changes in phylogenetic position with the addition of molecular data as the polarization and optimization of key morphological characters are likely to shift. This in turn can affect their utility as age calibrations for molecular divergence age estimations.

Portugalosuchus azenhae, recently described from an incomplete skull from the upper Cenomanian (ca 95 Ma) of Portugal, represents a notable example of this phenomenon. Based on morphology alone, Portugalosuchus was potentially the oldest member of Crocodylia (i.e. the crown group; the least-inclusive clade that contains all living crocodilians) [27]. This would pre-date the previous oldest crown crocodilian fossils (e.g. Brachychampsa sealeyi, [28]) and imply substantial ghost lineages. Furthermore, it would influence the age of Crocodylia if used as a node calibration for molecular divergence dating (e.g. [29]). Considering the topological conflict between morphological and molecular data in Crocodylia, relying on morphology alone to interpret the putative position of Portugalosuchus as the oldest crocodylian is potentially problematic, and indeed the original description acknowledged this conclusion had some uncertainty [27].

Here, we use DNA-informed analyses to investigate whether molecular data substantially alters the phylogenetic interpretation of Portugalosuchus. We added molecular data into the original, and updated, morphological datasets of [27] using different phylogenetic analytical approaches, including parsimony, undated Bayesian and tip-dating Bayesian analyses. All analyses robustly exclude Portugalosuchus from Crocodylia, instead placing it as a non-crocodylian eusuchian. We highlight the importance of DNA-informed phylogenetic inference for basal crocodylian relationships and divergence age estimates together with the use of well-justified fossil calibrations.

2. Material and methods

(a) . Morphological, molecular and stratigraphic data

The morphological datasets analysed here include (i) [30] as modified by [27] (abbreviated as NM), and (ii) [31] as modified by [27] (TM). In addition, we analysed a modified version of NM (mNM) by changing 16 characters scorings of Portugalosuchus to ‘unknown' that cannot be confirmed using published information (see electronic supplementary material, file S1 for a list of modified characters scorings).

For total evidence analyses of the NM and mNM datasets, we added molecular data for all 16 living species: a total of 9284 base pairs of mtDNA and nucDNA compiled from published data, especially [1,10]; details of sources and alignment are in a previous study [11].

For tip-dated analyses, stratigraphic data for the taxa were collected from the literature. A table with ages of taxa and references is provided in the electronic supplementary material, file S2.

(b) . Analyses

We performed eleven additional phylogenetic analyses (table 1) employing the NM and mNM morphological datasets using different approaches: maximum-parsimony and Bayesian analyses, both with and without molecular information, either as a molecular scaffold [32] using the topology of [10] or added as a DNA alignment in a supermatrix [33]. Tip-dating Bayesian analysis was also performed on the morphology + molecular supermatrices. We also re-analysed the TM matrix under parsimony and undated Bayesian approaches (but did not add DNA information as this dataset only included three living species). Furthermore, the taxon and character sampling for the TM dataset were not aimed at resolving crown crocodylian relationships, so we focused on the NM and mNM datasets.

Table 1.

Phylogenetic position of Portugalosuchus azenhae relative to Crocodylia according to different data types and analytical approaches of the present study.

data type analytic method position of Portugalosuchus referred phylogenies
morphology, original (NM) parsimony crown Fig.11 in Mateus et al. [27]
morphology, modified (mNM) parsimony unresolved electronic supplementary material, figure S1
morphology, original (NM) Bayesian undated crown electronic supplementary material, figure S2
morphology, modified (mNM) Bayesian undated crown electronic supplementary material, figure S3
scaffold + morphology, original (NM + DNA) parsimony stem electronic supplementary material, figure S4
scaffold + morphology, modified (mNM + DNA) parsimony stem electronic supplementary material, figure S5
DNA + morphology, original (NM + DNA) parsimony stem electronic supplementary material, figure S6
DNA + morphology, modified (mNM + DNA) parsimony stem electronic supplementary material, figure S7
DNA + morphology, original (NM + DNA) Bayesian undated stem electronic supplementary material, figure S8
DNA + morphology, modified (mNM + DNA) Bayesian undated stem electronic supplementary material, figure S9
DNA + morphology, original (NM + DNA) Bayesian tip-dated stem electronic supplementary material, figure S10 and figure 1
DNA + morphology, modified (mNM + DNA) Bayesian tip-dated stem electronic supplementary material, figure S11

All parsimony analyses were conducted in TNT v. 1.5 [34] following the same search settings as [27]; undated and tip-dated Bayesian analyses were performed, respectively, in MrBayes [35] and BEAST 2.5 [36]. The optimal partitioning scheme and substitution models for the molecular data were obtained by PartitionFinder [37]. The tip-dating analysis co-estimated topologies, branch lengths, divergence dates and evolutionary rates. The divergence age estimations for the nodes incorporate the phenotypic and stratigraphic information contained in the fossil taxa (tips). A full description of all analyses is provided in the electronic supplementary material (electronic supplementary material, file S3).

3. Results

Parsimony analysis of the original morphological dataset (NM) reproduces Mateus et al. [27] by placing Portugalosuchus within Crocodylia, but the modified dataset with some character state-codings re-scored to unknown (mNM) finds Portugalosuchus forming a polytomy with Crocodylia (electronic supplementary material, figure S1). The (undated) Bayesian analyses of morphology alone (NM and mNM) also place Portugalosuchus within Crocodylia, along the Gavialis lineage (electronic supplementary material, figures S2 and S3).

However, these two morphological datasets (NM, mNM) consistently place Portugalosuchus outside Crocodylia when molecular data are considered, either as a scaffold or incorporated in a supermatrix in a total evidence framework. These results hold under scaffold + parsimony (electronic supplementary material, figures S4 and S5), total evidence parsimony (electronic supplementary material, figures S6 and S7), total evidence undated Bayesian (electronic supplementary material, figures S8 and S9) and total evidence tip-dated Bayesian (figure 1; electronic supplementary material, figures S10 and S11). In all analyses employing molecular data (scaffold or total evidence), Planocraniidae and Borealosuchus spp. are likewise recovered outside Crocodylia. Finally, our tip-dated analysis estimate ca 95 Ma (Cenomanian, early Late Cretaceous) as the age for Crocodylia.

Figure 1.

Figure 1.

Simplified phylogeny of crocodylians based on total evidence tip-dated Bayesian analysis using the original morphology dataset (NM) of [27]. Numbers indicate posterior probability support values for the clades. Horizontal blue–grey bars indicate 95% highest posterior density interval (HPD) for age estimate. Full phylogeny is available in

electronic supplementary material, figure S10.

For the TM dataset, parsimony analysis found Portugalosuchus as part of a large polytomy that included living crocodylians (again in agreement with [27]); however, we note that in several most parsimonious trees, Portugalosuchus was outside of crown Crocodylia (electronic supplementary material, figure S14). All supplementary figures can be found in the electronic supplementary material, file S4.

4. Discussion

(a) . The impact of DNA data on the phylogenetic position of Portugalosuchus

Previous morphological phylogenies inferred the Cenomanian P. azenhae to represent the oldest known crown crocodilian, either as sister to all other non-gavialoid crocodylians [27] or in a clade with gavialoids [16,17,26]. In each case, ghost lineages are inferred extending into the mid to latest Early Cretaceous. The addition of molecular data abruptly moves Gavialis from a basal to a nested position with respect to other living crocodilans and is thus expected to most affect taxa around the ‘gavialoid' region of the morphological tree. For instance, putative synapomorphies placing Portugalosuchus closer to Alligatoridae + Crocodylidae (to the exclusion of gavialoids) are likely to reoptimize as symplesiomorphies for all Crocodylia under the molecular topology (e.g. [1]). Indeed, in our analyses (both dated and undated), Portugalosuchus together with Borealosuchidae and Planocraniidae are consistently recovered outside Crocodylia when we add molecular information to the morphological dataset of [27], either under total evidence or under a scaffold (figure 1; electronic supplementary material, figures S4–S13; cf. also electronic supplementary material, figure S15 with [38]). In the total evidence tip-dated tree (NM), Portugalosuchus and its sister group, Allodaposuchidae, are excluded from the clade formed by Borealosuchidae, Planocraniidae and Crocodylia owing to the absence of an enlarged external mandibular fenestra (63 : 0–1). The slit-like condition score for P. azenhae instead [27] was acquired four times independently according to this topology but never within Crococodylia, except for Deinosuchus riograndensis. Additionally, the presence of a postorbital process divided into two spines (134 : 0) and postorbital bar flush with lateral jugal surface (135 : 0) (both reversed in Gavialinae, electronic supplementary material, file S5) contributes in placing P. azenhae outside the crown and more inclusive clades.

Phylogenies finding Portugalosuchus inside Crocodylia place it near ‘thoracosaurs’ (in either a clade or a grade) and are questionable given that tip-dating Bayesian analyses ([11]; this study) suggest that most if not all ‘thoracosaurs’ are not crown crocodylians related to gavialids, but are outside crown Crocodylia. As pointed out by [26], Portugalosuchus does exclusively share character states with ‘thoracosaurs’ that distinguish these taxa from gavialids. Portugalosuchus therefore likely represents a non-crocodylian eusuchian and should be avoided as a fossil age constraint for Crocodylia in calibration databases (e.g. [29]).

Supermatrix (‘combined’, ‘total evidence') approaches are the most rigorous way to integrate multiple sources of phylogenetic data, such as morphology and DNA (e.g. [33]). However, the increasing size of phylogenomic datasets is making these approaches harder to implement, owing to computational demands as well as additional bioinformatic expertise required. However, this trend also means that phylogenetic relationships between living taxa are increasingly dictated by DNA (e.g. [39]); this asymmetry means that interactions between morphological and molecular datasets that manifest themselves in a supermatrix framework (e.g. [40]) might be less important. If so, molecular scaffolds might be an efficient way forward. In this study, the molecular scaffold analysis generated topologies identical to those retrieved by combined morphological and molecular data with respect to the placement of both fossil and extant taxa (electronic supplementary material, figures S4–S7); in accordance with expectation, mapping morphology and fossils onto a molecular scaffold will be highly comparable to the results of a simultaneous analysis where the DNA data essentially constrain the relationships among living taxa (e.g. [7,39,41]). As phylogenomic data become commonplace, molecular scaffolds therefore comprise an increasingly pragmatic way of integrating molecular information into fossil phylogenies.

(b) . The age of Crocodylia and the impact of ambiguous fossil calibrations

In our tip-dated analyses (using both original and modified datasets), the age for Crocodylia is approximately 94 Ma (Cenomanian, Late Cretaceous), with a 95% highest posterior density interval (HPD) of approx. 87–104 Ma. If Portugalosuchus were assumed to be a crown crocodilian, tip- or node-dated molecular divergence dating would estimate a substantially older age for the clade; the age of Portugalosuchus (95 Ma) would form the hard minimum age for the clade. The present estimate is consistent with recent tip-dating estimates of approximately 100 Ma [11] despite substantial differences in taxon and character sampling. Our estimate is also broadly consistent with molecular studies implicitly or explicitly following best practices [42] for fossil calibrations (table 2) as well as fossil divergence age estimates (e.g. [13,43]). All these converge upon an interval between 90 and 100 Ma for the age of Crocodylia. On the other hand, controversial choices for fossil calibrations of some published molecular divergence studies have led to much earlier inferred ages for Crocodylia. Brachychampsa sealeyi, a taxon conventionally regarded as a basal alligatoroid (e.g. [28,4449]), has been used as a constraint for a much smaller clade, Caimaninae, following some weakly supported phylogenies (see [49] for a review), resulting in inflated age estimations for Alligatoridae (split between Caimaninae and Alligatorinae, 71.61–129.7 Ma; [50,51]). Similarly, the same studies overlooked that some crocodylian clades have stem-based definitions and therefore include stem fossils [45,52] and thus calibrated crown-Alligatorinae (Alligator mississippiensisA. sinensis split) with the stem-alligatorine Navajosuchus mooki [13,45,53]; this leads to overestimating crown-alligatorine divergence ages.

Table 2.

Compilation of divergence age estimations for Crocodylia. Except for Roos et al. [9], all the age intervals represent the 95% highest posterior densities (HPD).

reference Crocodylia divergence age estimates (Ma) time-calibrated technique clock model tree model
Roos et al. [9] 101 ± 3.0 molecular clock (node calibration) r8s non-parametric rate smoothing (NPRS)
Oaks [10] 81.08–90.00 molecular clock (node calibration) relaxed uncorrelated lognormal Yule or birth–death process
Turner et al. [43] 81.02–114.25 tip-dating (morphology only) relaxed uncorrelated lognormal birth–death process
Lee & Yates [11] 90.0–110.0 tip-dating (total evidence) relaxed uncorrelated lognormal birth–death process
Pan et al. [12] 83.6–90.02 molecular clock (node calibration) relaxed uncorrelated lognormal Yule process
this work 86.77–103.09 tip-dating (total evidence) relaxed uncorrelated lognormal birth–death process

Our analyses demonstrate how the integration of molecular and morphological data/topologies plays an important role in interpreting the phylogenetic position of basal crocodylians and suggest avoiding inferences based exclusively on morphological data, especially when morphology-based relationships among living taxa are robustly contradicted by genomic data. While it is intriguing that a recent morphological phylogeny resolved the TomistomaGavialis conflict [26], its use of quantitative characters in turn resulted in unconventional placement of some extant and fossil taxa (e.g. polyphyletic Jacarea as opposed to all previous morphological and molecular phylogenies). Integrating DNA and morphological data/topologies therefore remains a vital approach for phylogenetic inference as well as reconstruction of character evolution and divergence ages, and molecular scaffolds can be an efficient way to approximate more rigorous supermatrix approaches.

Acknowledgements

We thank G. Ferreira, S. Onary, P. Godoy, C. Brochu, W. G. Joyce and J. Sterli for insightful discussions, and the Willi Henning Society for supporting free availability of the TNT software. We also thank the handling editor and three anonymous referees for the feedback and comments on the manuscript.

Contributor Information

Gustavo Darlim, Email: gustavo.darlim@gmail.com.

Márton Rabi, Email: marton.rabi@uni-tuebingen.de.

Data accessibility

Full details of the methods and results, along with datasets and analyses executables, can be found in the eletronic supplementary material and in the Dryad Digital Repository (http://doi.org/10.5061/dryad.q2bvq83mf) [54].

Authors' contributions

G.D.: conceptualization, data curation, formal analysis, investigation, project administration, writing—original draft; M.S.Y.L.: conceptualization, data curation, formal analysis, methodology, software, writing—review and editing; J.W.: conceptualization, data curation, formal analysis, writing—review and editing; M.R.: conceptualization, funding acquisition, investigation, project administration, supervision, visualization, writing—original draft.

All authors gave final approval for publication and agreed to be held accountable for the work described herein.

Competing interests

We declare we have no competing interests.

Funding

This study was funded by the Deutsche Forschungsgemeinschaft (grant no. 417629144) and the Volkswagen Stiftung (grant no. Az. 90 978), both awarded to M.R.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Full details of the methods and results, along with datasets and analyses executables, can be found in the eletronic supplementary material and in the Dryad Digital Repository (http://doi.org/10.5061/dryad.q2bvq83mf) [54].


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