New data from Monoplacophora and a carefully-curated dataset resolve molluscan relationships


Relationships among the major lineages of Mollusca have long been debated. Morphological studies have considered the rarely collected Monoplacophora (Tryblidia) to have several plesiomorphic molluscan traits. The phylogenetic position of this group is contentious as morphologists have generally placed this clade as the sister taxon of the rest of Conchifera whereas earlier molecular studies supported a clade of Monoplacophora + Polyplacophora (Serialia) and phylogenomic studies have generally recovered a clade of Monoplacophora + Cephalopoda. Phylogenomic studies have also strongly supported a clade including Gastropoda, Bivalvia, and Scaphopoda, but relationships among these taxa have been inconsistent. In order to resolve conchiferan relationships and improve understanding of early molluscan evolution, we carefully curated a high-quality data matrix and conducted phylogenomic analyses with broad taxon sampling including newly sequenced genomic data from the monoplacophoran Laevipilina antarctica. Whereas a partitioned maximum likelihood (ML) analysis using site-homogeneous models recovered Monoplacophora sister to Cephalopoda with moderate support, both ML and Bayesian inference (BI) analyses using mixture models recovered Monoplacophora sister to all other conchiferans with strong support. A supertree approach also recovered Monoplacophora as the sister taxon of a clade composed of the rest of Conchifera. Gastropoda was recovered as the sister taxon of Scaphopoda in most analyses, which was strongly supported when mixture models were used. A molecular clock based on our BI topology dates diversification of Mollusca to ~546 MYA (+/− 6 MYA) and Conchifera to ~540 MYA (+/− 9 MYA), generally consistent with previous work employing nuclear housekeeping genes. These results provide important resolution of conchiferan mollusc phylogeny and offer new insights into ancestral character states of major mollusc clades.


Mollusca is the second most diverse animal phylum whose members exhibit an incredible array of body shapes and sizes. Many molluscs have important ecological roles in marine, freshwater, and terrestrial environments and others are culturally and/or economically important as a source of food, jewellery, or dye1. Despite their diversity and importance, understanding of early molluscan evolution remains incomplete and several conflicting phylogenetic hypotheses1,2,3,4,5,6,7,8,9 have been proposed regarding relationships among the eight major clades (i.e., classes): Bivalvia (clams, scallops, oysters, etc.), Caudofoveata (Chaetodermomorpha), Cephalopoda (octopuses, squids, and Nautilus), Gastropoda (snails and slugs), Monoplacophora (Tryblidia; deep-sea, limpet-like molluscs), Polyplacophora (chitons), Scaphopoda (tusk shells), and Solenogastres (Neomeniomorpha).

Within Conchifera (Bivalvia, Cephalopoda, Gastropoda, Monoplacophora, and Scaphopoda), the clade of molluscs with uni- or bivalved shells, the deep-sea limpet-like Monoplacophora has long been thought to be important to understanding early molluscan evolution5,10,11,12,13,14 with most morphology-based hypotheses placing Monoplacophora sister to a clade of all other conchiferans. However, no published molecular studies have supported this topology to date (but see Philippe and Roure 201215). Studies of molluscan phylogeny employing datasets dominated by nuclear ribosomal and mitochondrial genes have generally had poor resolution among major lineages10,11,12,13,14. However, one finding of particular interest from these studies was the recovery of a close relationship of Monoplacophora and Polyplacophora (Serialia)16,17. More recent studies employing PCR-amplified fragments of nuclear protein-coding “housekeeping” genes18 or nuclear protein-coding genes obtained from transcriptome and genome data19,20 have instead provided strong support for a clade called Aculifera, which groups Polyplacophora with Aplacophora (Caudofoveata + Solenogastres) to form a group of molluscs with calcareous sclerites.

Smith et al.19, the only published phylogenomic study to date focused on deep molluscan relationships to sample Monoplacophora (specifically Laevipilina hyalina), recovered it as the sister taxon of Cephalopoda. This result is inconsistent with the prevailing traditional morphological view placing Monoplacophora sister to all other conchiferans3,21,22,23, but is consistent with some (but not all) palaeontological hypotheses on early molluscan diversification24,25,26,27. Two subsequent studies included data from L. hyalina but focused on relationships within Gastropoda28 or Bivalvia29, and thus had limited taxon sampling outside of those clades. Kocot et al.30 focused on among-phylum relationships within Lophotrochozoa but had relatively broad sampling of Mollusca. Most of those analyses recovered Monoplacophora as the sister taxon of Conchifera or Cephalopoda, but support for its placement was generally weak. Phylogenomic studies have also supported a clade including Gastropoda, Bivalvia, and Scaphopoda, although there has been inconsistency in recovered relationships among these taxa19,20,28,30. Because conchiferan molluscs are well-represented in the early animal fossil record31,32, understanding their phylogeny has important implications for understanding early animal evolution and the identity of enigmatic fossil taxa hypothesized to be stem-group molluscs.

Results and Discussion

We sequenced a draft genome for the monoplacophoran Laevipilina antarctica. Unfortunately, because of the small size of this species, there was only adequate material for paired-end Illumina sequencing library preparation with insufficient material for mate pair, long-read, or transcriptome library preparation using techniques available at the time that this work was conducted. This resulted in a rather fragmented genome assembly (427,488 contigs >500 bp; N50 = 2,167 bp; 1.26 Gbp total assembly size). Assessment of this assembly with BUSCO33 showed that it is rather incomplete with only 14.6% of the 978 metazoa_odb9 genes recovered as complete and another 17.9% recovered as fragmented. Nevertheless, aside from transcriptome data from Laevipilina hyalina, these represent the only available genome data from any monoplacophoran and are thus a valuable resource for testing the phylogenetic position of this group.

We curated a dataset of 257 genes totalling 54,596 amino acids in length with data from 49 taxa of which 32 represented ingroup species (Supplementary Table 1). Care was taken to exclude possible contamination and mistranslated sequence regions (see Methods) while minimizing the amount of missing data in the final matrix (27.86% missing data). Additionally, only genes with a sequence from L. antarctica were sampled. Phylogenetic analyses were conducted using maximum likelihood (ML) in RAxML 834 with the best-fitting model for each gene, and in IQ-TREE using the posterior mean site frequency (LG + C60 + G + F) mixture model35,36,37. A Bayesian inference (BI) analysis was conducted in PhyloBayes MPI38 with the CAT-GTR mixture model39.

ML analysis of the partitioned dataset in RAxML (Fig. 1A) recovered Monoplacophora sister to Cephalopoda with moderate bootstrap support (bs = 88), consistent with the results of Smith et al.19 and some interpretations of the fossil record11. However, the ML analysis in IQ-TREE using the PMSF model (Fig. 1B) and the Bayesian inference analysis in PhyloBayes using the CAT-GTR model (Fig. 1C) recovered Monoplacophora sister to the rest of Conchifera with a bootstrap support value of 94 and posterior probability of 0.99 respectively, consistent with most morphology-based hypotheses of conchiferan relationships11.

Figure 1

Results of phylogenetic analyses (outgroup taxa not shown). (A) RAxML maximum likelihood (ML) topology. Bootstrap support values below 100 shown. (B) IQ-TREE ML topology. Bootstrap support values below 100 shown. (C) PhyloBayes Bayesian inference (BI) topology. Posterior probabilities below 1.0 shown. (D) ASTRAL tree. Local posterior probabilities below 1.0 shown.

To examine support for Monoplacophora sister to Conchifera from individual partitions, we used a multi-species coalescent approach in ASTRAL 5.6.140. This analysis also recovered Monoplacophora sister to the rest of Conchifera (local posterior probability, lpp = 0.89; Fig. 1D).

Placement of Monoplacophora sister to all other conchiferans had a lower likelihood score than Monoplacophora + Cephalopoda in the RAxML analysis and could not be rejected by the Shimodaira-Hasegawa (SH) test (p = 0.190). This alternative topology was, however, rejected by the Approximately Unbiased (AU) test (p = 0.001). Both tests rejected the Serialia hypothesis (AU test p = 0.001; SH test p = 0).

A clade of all conchiferans except Monoplacophora, as recovered in most of our analyses, was originally proposed by morphologists and called Ganglionata (reviewed by Schrödl and Stöger 20145). Despite the name, ganglia are neither restricted to Ganglionata nor do all species within Ganglionata show distinct pairs of ganglia41,42,43. Kocot et al.20 curated a morphological character matrix for Mollusca building on that of Haszprunar21 and conducted ancestral state reconstruction for key molluscan characters (see Methods) under a number of different phylogenetic scenarios including Monoplacophora sister to the rest of Conchifera. Our analyses placing Monoplacophora sister to the rest of Conchifera indicate that the only unambiguously apomorphic trait of Ganglionata is the reduction of adult dorsoventral muscle pairs from a hypothesized ancestral set of eight (or possibly seven44). Monoplacophorans also differ from other conchiferans with respect to the arrangement and structure of mantle folds, anatomy of the shell gland, and structure of the shell23, but whether these are retained conchiferan plesiomorphies or monoplacophoran apomorphies is ambiguous.

Relationships among Gastropoda, Bivalvia, and Scaphopoda, a clade of molluscs with relatively thick, multi-layered shells27, have been the subject of debate3,5,7,8,31 due to incongruence among recent studies18,19,20,45,46. Whereas our RAxML and ASTRAL analyses found poor support for relationships among these taxa, our IQ-TREE and PhyloBayes analyses using mixture models strongly supported Scaphopoda + Gastropoda with this clade sister to Bivalvia, consistent with Smith et al.19. Gastropoda is an extremely diverse, morphologically disparate, and ecologically variable group of species that inhabit almost all environments on land and in the sea. Scaphopoda, on the other hand, is a much less diverse group of relatively morphologically uniform animals that dig in marine sediments and prey upon foraminiferans and other infauna. This pair of unequal sister taxa contradicts the Cyrtosoma concept uniting Gastropoda and Cephalopoda (plus Monoplacophora by the original definition10; reviewed by Kocot22). Interestingly, a close relationship of Scaphopoda and Gastropoda was proposed based on the pronounced dorsoventral axis47 and recent work has confirmed the morphological ventral position of the scaphopod foot48. Examination of published molluscan morphological data matrices20,21,49 reveals obvious symplesiomorphies shared between these taxa (e.g., external univalved shell), but we find no clear morphological synapomorphies for the gastropod-scaphopod clade.

Consistent with other phylogenomic studies18,19,20,50, all of our analyses strongly support a molluscan dichotomy with two major clades: Conchifera and Aculifera51. Within Aculifera, we recovered chitons (Polyplacophora) sister to the vermiform, shell-less aplacophorans. Within Aplacophora, we recovered Solenogastres and Caudofoveata reciprocally monophyletic. Aculifera contradicts the classical morphology-based Testaria hypothesis5, which places chitons sister to Conchifera and the shell-less worm-like aplacophorans as an early-branching, paraphyletic grade. The Testaria hypothesis implies a progressive evolution from a simple unshelled worm-like ancestor towards chitons with shell plates and later with the uni- or bivalved conchiferans as the crown-group of Mollusca. Our results unequivocally reject this hypothesis (AU test p-value = 4.00E-56; SH test p-value = 0).

In light of support for placement of Monoplacophora sister to the rest of Conchifera and our earlier ancestral character state reconstruction analyses based on this phylogenetic hypothesis20, we infer that the last common ancestor of extant molluscs was likely a dorsoventrally flattened animal that had a mantle, a dorsal cuticle, a broad foot, eight (or seven44) pairs of dorsoventral muscles, a circumpedal or posterior mantle cavity with serially arranged gills, and a radula as part of a longitudinally arranged, regionalized digestive system. Whether or not the last common ancestor of extant molluscs had a single shell, multiple shell plates, or no shell is ambiguous20. Possession of a single shell is clearly plesiomorphic for Conchifera but this was probably also the case in Calvapilosa, Maikhanella, and Orthrozanclus, fossil taxa inferred to be stem aculiferans52, suggesting that the last common molluscan ancestor may have been single-shelled. Additional studies comparing development, mineralogy, and other structural aspects of chiton shells, conchiferan shells, and aculiferan sclerites would be of great interest to further address this and other important questions about the origin(s) and homology of molluscan biomineralized structures53.

Our molecular clock analysis (Fig. 2; Supplementary Fig. 1; Supplementary Table 3) indicates that the molluscan stem split from trochozoan relatives about 584 MYA (95% highest posterior density [HPD] = 547–623 MYA), Conchifera diversified 540 MYA (531–548 MYA), and Aculifera diversified 499 MYA (479–520 MYA), generally consistent with previous relaxed molecular clocks calculated from multilocus18,45,52,54 and phylogenomic data28,55, showing the molluscan stem to be Precambrian in origin. The Ediacaran fossil genus Kimberella has been hypothesized to represent a stem-group mollusc by some31,56,57,58 but the molluscan affinity of Kimberella has been criticized by others who instead view it as an early-branching bilaterian32, in part because of its old age (~555 MYA). Although broad, our and other recent estimates for the divergence of molluscs are at least compatible with hypotheses regarding Kimberella as an early offshoot of the molluscan stemline31,45,59. However, if Kimberella was indeed a mollusc, it differed from most extant molluscs in its lack of a shell (although sclerites may have been present) and, more significantly, a bizarre rake-like mode of feeding unlike that of any modern mollusc32.

Figure 2

Summary of relaxed molecular clock analysis results. Numbers along y-axis are millions of years before present (Ma). Numbers at nodes represent the average age of the split; Error bars at nodes represent the height 95% HPD (highest posterior density). A detailed version of this tree is presented in Supplementary Fig. 1 and the raw data and uncollapsed tree are available via FigShare (see Data Availability section).

Late Precambrian and Cambrian small shelly fossil (SSF) assemblages consist of abundant, diverse, and tiny (0.5–5 mm) animals60 in strong contrast to the large-bodied Vendian Kimberella. Our time tree is consistent with the prevailing notion that SSFs such as helcionellids and other gastropod- and monoplacophoran-like fossils were conchiferan molluscs32, but relatively broad posterior densities preclude confident placement of these fossil taxa along any one branch. According to our time tree, molluscan SSFs would have been stem conchiferans, or less likely, belonged to the stem of Monoplacophora or the lineage that gave rise to the remaining conchiferans. As noted above, at least some fossil aculiferans had a single shell; at least some SSFs could conceivably have been aculiferans. Surprisingly, the split of gastropods and scaphopods is rather late according to our molecular clock analysis (474 MYA; 95% HDP = 479–520 MYA); this could mean that many Cambrian shells currently regarded to be gastropods were actually members of the gastropod-scaphopod stem lineage.

In conclusion, we analysed a high-quality and representative molluscan phylogenomic dataset and recovered a robust and intriguing hypothesis on molluscan class-level relationships. Analyses employing site-heterogeneous models and a coalescent approach provide support for a dichotomy dividing the molluscs into Aculifera and Conchifera, the latter with Monoplacophora sister to the rest of uni- or bivalved molluscs and gastropods sister to scaphopods, not bivalves. Our results contradict hypotheses such as Testaria, Serialia, and Monoplacophora + Cephalopoda, and have important consequences for reconstructing early molluscan evolution.


Molecular laboratory work

One specimen of Laevipilina antarctica (ZSM-Mol-20090330, DNABANK-Mol-MS-016) was collected with the R/V Polarstern in Antarctica between 70°24.00′S, 8°19.72′W and 70°23.86′S, 8°18.68′W at 597–602 m depth on 12 January 2008. DNA was extracted from the specimen using the NucleoSpin Tissue Kit (Macherey-Nagel, Düren, Germany). DNA (10 ng) was used for whole genome amplification using the Illustra GenomiPhi V2 DNA Amplification Kit (GE Healthcare Life Sciences, Freiburg, Germany) followed by standard ethanol precipitation and re-purification using the Qiagen MinElute system (Qiagen, Hilden, Germany). Concentration was determined using a Qubit 2.0 Fluorometer, and 1 μg was used to create a sequencing library with the TruSeq DNA Sample Preparation Kit v2 (Illumina, San Diego, CA, USA) with an average insert size of approximately 250 bp. Two lanes of 101 bp paired-end-reads were sequenced on the Illumina HiSeq 2000 system yielding about 90 Gbp. Raw reads were filtered for quality, PCR duplicates, and adapter sequences and corrected using SOAPfilter_v2.0 ( using default settings.

Genome assembly and annotation

Reads retained by SOAPfilter_v2.0 were assembled de novo using SOAPdenovo2_v2.0461. Sparse_pregraph was used to construct the K-mer graph using the following settings: -K 31 -g 15 -z 2000000000 -d 1 -e 1 -r 0 -p 28. Contigs were computed using kmer iterations up to K = 63 (-M 3 -m 63 -p 30). The remapping step of SOAPdenovo was carried out using standard settings and the scaffolding step was used with parameters: -F -G 200 -p 28. Finally, additional gaps were filled using SOAP Gapcloser v1.12. Genescan62 was used to generate gene predictions resulting in 83 Mb of protein-coding sequences, which were subsequently used for phylogenomic analyses.

Taxon sampling and data preparation for phylogenomic analysis

Taxon sampling (Supplementary Table 1) was selected to broadly span the diversity of Mollusca including at least two representatives of each major lineage and at least two representatives of each phylum considered a candidate for the sister taxon of Mollusca63. Publicly available protein sequences from complete genomes and assembled transcriptomes were downloaded when available. Dataset assembly and processing built on our established and routinely used bioinformatic pipeline30,64,65,66,67 with a number of modifications to help reduce possible exogenous contamination and low quality data (e.g., incorrectly translated gene predictions from Genescan; see below). Unassembled publicly available transcriptome data were digitally normalized and assembled using Trinity68. Transcriptome assemblies were translated with TransDecoder (, keeping only amino acid (AA) sequences longer than 100 AAs.

Orthology inference

For orthology inference, we employed HaMStR 1369, which infers orthology based on predefined sets of orthologous groups (OGs). We employed the Trochozoa custom core-ortholog set of Kocot et al.30. Translated transcripts for all taxa were then searched against the 2,259 Trochozoa pHMMs. Sequences matching an OG’s pHMM were then compared to the proteome of Lottia gigantea using BLASTP70 with the -strict option. If the Lottia amino acid sequence contributing to the pHMM was the best BLASTP hit in each of these back-BLASTs, the sequence was then assigned to that OG.

Dataset processing

Sequences shorter than 100 amino acids were deleted and OGs sampled for fewer than 35 taxa were discarded. Redundant identical sequences were removed with UniqHaplo ( In cases where one of the first or last 20 characters of an amino acid sequence was an X, all characters between the X and that end of the sequence were deleted and treated as missing data. Each OG was then aligned with MAFFT71 (mafft–auto–localpair–maxiterate 1000). Alignments were then trimmed with Aliscore72 and Alicut73 to remove ambiguously aligned regions. Next, a consensus sequence was inferred for each alignment using the EMBOSS program infoalign74. For each sequence in each single-gene amino acid alignment, the percentage of positions of that sequence that differed from the consensus of the alignment were calculated using the infoalign’s “change” calculation. Any sequence with a “change” value greater than 75 was deleted. Subsequently, a custom script (AlignmentCompare; was used to delete any likely mistranslated sequence regions of 20 or fewer amino acids in length surrounded by ten or more gaps on either side. Next, alignment columns with fewer than four non-gap characters were deleted. At this point, alignments shorter than 50 amino acids in length were discarded. Lastly, sequences that did not overlap with all other sequences in the alignment by at least 20 amino acids were deleted, starting with the shortest sequences not meeting this criterion.

In some cases, a taxon was represented in an OG by two or more sequences (splice variants, lineage-specific gene duplications [=inparalogs], overlooked paralogs, or exogenous contamination). In order to select the best sequence for each taxon and exclude any paralogs or exogenous contamination, we built trees in FastTree 275 and used PhyloTreePruner76 to select the best sequence for each taxon. OGs sampled for fewer than 35 taxa and OGs lacking a sequence from Laevipilina antarctica were discarded. The remaining alignments were manually screened to identify and remove putative contamination or mistranslated sequences. Sequences that were obviously very different from the majority of the sequences in the alignment were blasted against NCBI NR using BLASTP and sequences that did not return an animal as the top hit were discarded. Finally, remaining OGs were then concatenated using FASconCAT77.

Phylogenetic analyses

Maximum likelihood analyses were conducted in RAxML 8.2.434 and IQ-TREE 1.5.535. For the RAxML analysis, matrices were partitioned by gene with the PROTGAMMAAUTO model (the best-fitting model for each gene) used for all partitions. The tree with the best likelihood score after 10 random addition sequence replicates was retained and topological robustness (i.e., nodal support) was assessed with 100 replicates of fast bootstrapping (the -f a command line option was used). For the IQ-TREE analysis, we used the posterior mean site frequency (PMSF) model37, which is an approximation to full empirical profile mixture models for ML analysis. Specifically, the LG + C60 + G + F model was specified. Because this approach requires a guide tree to infer the site frequency model, we used the previously generated RAxML tree. Nodal support was assessed with 1000 replicates of ultrafast bootstrapping (-bb 1000). Bayesian Inference analysis was conducted with PhyloBayes 4.1b78 using the site-heterogeneous CAT-GTR model. Two chains were run for 14,143 and 13,400 generations, respectively with the first 2,000 trees from each chain discarded as burn-in. A bpcomp maxdiff value of 0.28 indicated that the chains had converged.

To examine support for key hypotheses from individual partitions, we made trees for each gene in RAxML using the best-fitting model, used these as guide trees for IQ-TREE analyses with the LG + C20 + G + F model, and inferred a supertree using a multi-species coalescent model in ASTRAL 5.6.140. Weakly-supported nodes (bs < 50) were collapsed as advocated by Zhang et al.40. Hypothesis testing using the Approximately Unbiased test79 and the Shimodaira Hasegawa test80 was conducted using RAxML 8.2.434 and CONSEL81 based on the RAxML analysis.

Divergence time estimates (Supplementary Table 3) were obtained in BEAST2 v.2.4.682 on the CIPRES Science Gateway ( with a log-normal relaxed clock and the WAG model of substitution. The topology of the tree was manually constrained a priori by defining the major splits of the BI tree analysed herein. Fossil calibrations83,84,85,86,87,88,89 are presented in Supplementary Table 4. The analysis was executed for 180 million generations sampling a tree every 1,000 generations. After discarding the first 3,600 trees as burn-in, 14,401 trees were analysed with TreeAnnotator 2.4.5 to build the summary tree.

Ancestral character state reconstruction

Ancestral character state reconstruction was performed previously by Kocot et al.20 using an updated and modified version of the morphological matrix of Haszprunar21. Because this analysis was already performed in light of numerous alternative hypotheses of molluscan class-level phylogeny including Monoplacophora sister to the remainder of Conchifera, it was not re-done here. The data matrix analysed is available via FigShare at

Data availability

Illumina paired-end genomic data for L. antarctica were submitted to NCBI SRA under accession number SRR6506080. The assembled L. antarctica genome, assembly statistics, Genescan output, molecular and morphological data matrices analysed, and other data files associated with results presented herein were submitted to FigShare: Sources of publicly available datasets used herein are presented in Supplementary Table 1.


  1. 1.

    Ponder, W. & Lindberg, D. Molluscan Evolution and Phylogeny: An Introduction. In Phylogeny and Evolution of the Mollusca 1–17 (University of California Press, 2008).

  2. 2.

    Haszprunar, G., Schander, C. & Halanych, K. M. Relationships of Higher Molluscan Taxa. In Phylogeny and Evolution of the Mollusca 19–32 (University of California Press, 2008).

  3. 3.

    Schrödl, M. & Stöger, I. A review on deep molluscan phylogeny: old markers, integrative approaches, persistent problems. J. Nat. Hist. 48, 2773–2804 (2014).

    Article  Google Scholar 

  4. 4.

    Salvini-Plawen, L. V. On the origin and evolution of the Mollusca. Atti Conv. Lincei 49, 235–293 (1981).

    Google Scholar 

  5. 5.

    Salvini-Plawen, L. V. & Steiner, G. The Testaria concept (Polyplacophora+ Conchifera) updated. J. Nat. Hist. 48, 2751–2772 (2014).

    Article  Google Scholar 

  6. 6.

    Sigwart, J. D. & Lindberg, D. R. Consensus and confusion in molluscan trees: evaluating morphological and molecular phylogenies. Syst. Biol. 64, 384–395 (2014).

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  7. 7.

    Telford, M. J. Mollusc evolution: seven shells on the sea shore. Curr. Biol. 23, R952–R954 (2013).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  8. 8.

    Telford, M. J. & Budd, G. E. Invertebrate evolution: bringing order to the molluscan chaos. Curr. Biol. 21, R964–R966 (2011).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  9. 9.

    Wanninger, A. & Wollesen, T. The Evolution of Molluscs. Biol. Rev. 94, 102–115 (2018).

    Article  Google Scholar 

  10. 10.

    Runnegar, B. & Pojeta, J. Jr. Molluscan phylogeny: the paleontological viewpoint. Science 186, 311–317 (1974).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  11. 11.

    Pojeta, J. & Runnegar, B. The paleontology of rostroconch mollusks and the early history of the phylum Mollusca. US Geol. Surv. Prof. Pap. 986, 1–88 (1976).

    Google Scholar 

  12. 12.

    Salvini-Plawen, L. v. Early evolution and the primitive groups. In The Mollusca vol. 10 Evolution 59–150 (Academic Press, 1985).

  13. 13.

    Trueman, E. R. & Brown, A. C. The mechanism of shell elevation in Haliotis (Mollusca: Gastropoda) and a consideration of the evolution of the hydrostatic skeleton in Mollusca. J. Zool. 205, 585–594 (1985).

    Article  Google Scholar 

  14. 14.

    Salvini-Plawen, L. V. & Steiner, G. Synapomorphies and plesiomorphies in higher classification of Mollusca. In Origin and Evolutionary Radiation of the Mollusca 29–51 (Oxford University Press, 1996).

  15. 15.

    Philippe, H. & Roure, B. What does phylogenomics really tell us about molluscan evolution? In Abstracts of the 2012 Society for the Study of Evolution Meeting (2012).

  16. 16.

    Giribet, G. et al. Evidence for a clade composed of molluscs with serially repeated structures: Monoplacophorans are related to chitons. 103, 7723–7728 (2006).

    CAS  Google Scholar 

  17. 17.

    Wilson, N. G., Rouse, G. W. & Giribet, G. Assessing the molluscan hypothesis Serialia (Monoplacophora+ Polyplacophora) using novel molecular data. Mol. Phylogenet. Evol. 54, 187–193 (2010).

    PubMed  Article  PubMed Central  Google Scholar 

  18. 18.

    Vinther, J., Sperling, E. A., Briggs, D. E. & Peterson, K. J. A molecular palaeobiological hypothesis for the origin of aplacophoran molluscs and their derivation from chiton-like ancestors. Proc. R. Soc. B Biol. Sci. 279, 1259–1268 (2012).

    Article  Google Scholar 

  19. 19.

    Smith, S. A. et al. Resolving the evolutionary relationships of molluscs with phylogenomic tools. Nature 480, 364–367 (2011).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  20. 20.

    Kocot, K. M. et al. Phylogenomics reveals deep molluscan relationships. Nature 477, 452–456 (2011).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  21. 21.

    Haszprunar, G. Is the Aplacophora monophyletic? A cladistic point of view. Am. Malacol. Bull. 15, 115–130 (2000).

    Google Scholar 

  22. 22.

    Kocot, K. M. Recent advances and unanswered questions in deep molluscan phylogenetics. Am. Malacol. Bull. 31, 1–14 (2013).

    Article  Google Scholar 

  23. 23.

    Haszprunar, G. Monoplacophora (Tryblidia). In Phylogeny and Evolution of the Mollusca 97–104 (University of California Press, 2008).

  24. 24.

    Yochelson, E. L. Alternative approach to interpretation of phylogeny of ancient mollusks. Malacologia 17, 165–191 (1978).

    Google Scholar 

  25. 25.

    Yochelson, E. L. Early radiation of Mollusca and mollusc-like groups. Orig. Major Invertebr. Groups 12, 323–358 (1979).

    Google Scholar 

  26. 26.

    Yochelson, E. L., Flower, R. H. & Webers, G. F. The bearing of the new Late Cambrian monoplacophoran genus Knightoconus upon the origin of the Cephalopoda. Lethaia 6, 275–309 (1973).

    Article  Google Scholar 

  27. 27.

    Runnegar, B. Early evolution of the Mollusca: The fossil record. In Origin and Evolutionary Radiation of the Mollusca 77–87 (Oxford University Press, 1996).

  28. 28.

    Zapata, F. et al. Phylogenomic analyses of deep gastropod relationships reject Orthogastropoda. Proc. R. Soc. B Biol. Sci. 281, 20141739 (2014).

    Article  Google Scholar 

  29. 29.

    González, V. L. et al. A phylogenetic backbone for Bivalvia: an RNA-seq approach. Proc. R. Soc. B Biol. Sci. 282, 20142332 (2015).

    Article  CAS  Google Scholar 

  30. 30.

    Kocot, K. M. et al. Phylogenomics of Lophotrochozoa with consideration of systematic error. Syst. Biol. 66, 256–282 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Vinther, J. The origins of molluscs. Palaeontology 58, 19–34 (2015).

    Article  Google Scholar 

  32. 32.

    Parkhaev, P. Y. Origin and the early evolution of the phylum Mollusca. Paleontol. J. 51, 663–686 (2017).

    Article  Google Scholar 

  33. 33.

    Simão, F. A., Waterhouse, R. M., Ioannidis, P., Kriventseva, E. V. & Zdobnov, E. M. BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics 31, 3210–3212 (2015).

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  34. 34.

    Stamatakis, A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313 (2014).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  35. 35.

    Nguyen, L.-T., Schmidt, H. A., Haeseler, Avon & Minh, B. Q. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 32, 268–274 (2015).

    CAS  Article  Google Scholar 

  36. 36.

    Chernomor, O., von Haeseler, A. & Minh, B. Q. Terrace aware data structure for phylogenomic inference from supermatrices. Syst. Biol. 65, 997–1008 (2016).

  37. 37.

    Wang, H.-C., Minh, B. Q., Susko, E. & Roger, A. J. Modeling site heterogeneity with posterior mean site frequency profiles accelerates accurate phylogenomic estimation. Syst. Biol. 67, 216–235 (2017).

  38. 38.

    Lartillot, N., Rodrigue, N., Stubbs, D. & Richer, J. PhyloBayes MPI. Phylogenetic reconstruction with infinite mixtures of profiles in a parallel environment. Syst. Biol. 62, 611–615 (2013).

    CAS  PubMed  Article  Google Scholar 

  39. 39.

    Lartillot, N. & Philippe, H. A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process. Mol. Biol. Evol. 21, 1095 (2004).

    CAS  PubMed  Article  Google Scholar 

  40. 40.

    Zhang, C., Rabiee, M., Sayyari, E. & Mirarab, S. ASTRAL-III: polynomial time species tree reconstruction from partially resolved gene trees. BMC Bioinformatics 19, 153 (2018).

    PubMed  Article  PubMed Central  Google Scholar 

  41. 41.

    Moroz, L. L. On the independent origins of complex brains and neurons. Brain. Behav. Evol. 74, 177–190 (2009).

    PubMed  Article  PubMed Central  Google Scholar 

  42. 42.

    Sumner‐Rooney, L. & Sigwart, J. D. Do chitons have a brain? New evidence for diversity and complexity in the polyplacophoran central nervous system. J. Morphol. 279, 936–949 (2018).

    PubMed  Article  PubMed Central  Google Scholar 

  43. 43.

    Sigwart, J. D. et al. A new sensory organ in “primitive” molluscs (Polyplacophora: Lepidopleurida), and its context in the nervous system of chitons. Front. Zool. 11, 7 (2014).

    PubMed  Article  PubMed Central  Google Scholar 

  44. 44.

    Scherholz, M., Redl, E., Wollesen, T., Todt, C. & Wanninger, A. Aplacophoran mollusks evolved from ancestors with polyplacophoran-like features. Curr. Biol. 23, 2130–2134 (2013).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  45. 45.

    Stöger, I. et al. The continuing debate on deep molluscan phylogeny: evidence for serialia (Mollusca, Monoplacophora). BioMed Res. Int. 2013, 407072 (2013).

    ADS  PubMed  Article  PubMed Central  Google Scholar 

  46. 46.

    Smith, S. A. et al. Corrigendum: Resolving the evolutionary relationships of molluscs with phylogenomic tools. Nature 493, 708–708 (2013).

    ADS  CAS  Article  Google Scholar 

  47. 47.

    Plate, L. H. Über den Bau und die Verwandtschaftsbeziehungen der Solenoconchen. Zool. Jahrb. Anat. 5, 301–386 (1892).

    Google Scholar 

  48. 48.

    Sigwart, J. D., Sumner-Rooney, L. H., Dickey, J. & Carey, N. The scaphopod foot is ventral: more evidence from the anatomy of Rhabdus rectius (Carpenter, 1864) (Dentaliida: Rhabdidae). Molluscan Res. 37, 79–87 (2017).

    Article  Google Scholar 

  49. 49.

    Bieler, R. et al. Investigating the Bivalve Tree of Life–an exemplar-based approach combining molecular and novel morphological characters. Invertebr. Syst. 28, 32–115 (2014).

    Article  Google Scholar 

  50. 50.

    Osca, D., Irisarri, I., Todt, C., Grande, C. & Zardoya, R. The complete mitochondrial genome of Scutopus ventrolineatus (Mollusca: Chaetodermomorpha) supports the Aculifera hypothesis. BMC Evol. Biol. 14, 197 (2014).

    PubMed  PubMed Central  Google Scholar 

  51. 51.

    Scheltema, A. H. Aplacophora as progenetic aculiferans and the coelomate origin of mollusks as the sister taxon of Sipuncula. Biol. Bull. 184, 57–78 (1993).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  52. 52.

    Vinther, J., Parry, L., Briggs, D. E. & Van Roy, P. Ancestral morphology of crown-group molluscs revealed by a new Ordovician stem aculiferan. Nature 542, 471 (2017).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  53. 53.

    Scheltema, A. & Schander, C. Exoskeletons: tracing molluscan evolution. Venus 65, 19–26 (2006).

    Google Scholar 

  54. 54.

    Erwin, D. H. et al. The Cambrian conundrum: early divergence and later ecological success in the early history of animals. Science 334, 1091–1097 (2011).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  55. 55.

    Dohrmann, M. & Wörheide, G. Dating early animal evolution using phylogenomic data. Sci. Rep. 7, 3599 (2017).

    ADS  PubMed  Article  CAS  PubMed Central  Google Scholar 

  56. 56.

    Fedonkin, M. A. & Waggoner, B. M. The Late Precambrian fossil Kimberella is a mollusc-like bilaterian organism. Nature 388, 868–871 (1997).

    ADS  CAS  Article  Google Scholar 

  57. 57.

    Fedonkin, M. A., Simonetta, A. & Ivantsov, A. Y. New data on Kimberella, the Vendian mollusc-like organism (White Sea region, Russia): palaeoecological and evolutionary implications. Geol. Soc. Lond. Spec. Publ. 286, 157–179 (2007).

    ADS  Article  Google Scholar 

  58. 58.

    Ivantsov, A. Y. New reconstruction of Kimberella, problematic Vendian metazoan. Paleontol. J. 43, 601–611 (2009).

    Article  Google Scholar 

  59. 59.

    Vinther, J. A molecular palaeobiological perspective on aculiferan evolution. J. Nat. Hist. 48, 2805–2823 (2014).

    Article  Google Scholar 

  60. 60.

    Parkhaev, P. Y. The early Cambrian radiation of Mollusca. In Phylogeny and Evolution of the Mollusca 33–70 (University of California Press, 2008).

  61. 61.

    Luo, R. et al. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. GigaScience 1, 18 (2012).

    PubMed  Article  PubMed Central  Google Scholar 

  62. 62.

    Burge, C. & Karlin, S. Prediction of complete gene structures in human genomic DNA. J. Mol. Biol. 268, 78–94 (1997).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  63. 63.

    Kocot, K. M. On 20 years of Lophotrochozoa. Org. Divers. Evol. 16, 329–343 (2016).

    Article  Google Scholar 

  64. 64.

    Hall, M. R. et al. The crown-of-thorns starfish genome as a guide for biocontrol of this coral reef pest. Nature 544 (2017).

  65. 65.

    Kocot, K. M., Tassia, M. G., Halanych, K. M. & Swalla, B. J. Phylogenomics offers resolution of major tunicate relationships. Mol. Phylogenet. Evol. 121, 166–173 (2018).

    PubMed  Article  PubMed Central  Google Scholar 

  66. 66.

    Smythe, A. B., Holovachov, O. & Kocot, K. M. Improved phylogenomic sampling of free-living nematodes enhances resolution of higher-level nematode phylogeny. BMC Evol. Biol. 19, 121 (2019).

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  67. 67.

    Kocot, K. M., Todt, C., Mikkelsen, N. T. & Halanych, K. M. Phylogenomics of Aplacophora (Mollusca, Aculifera) and a solenogaster without a foot. Proc. R. Soc. B 286, 20190115 (2019).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  68. 68.

    Grabherr, M. G. et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat. Biotechnol. 29, 644–652 (2011).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  69. 69.

    Ebersberger, I., Strauss, S. & Von Haeseler, A. HaMStR: profile hidden Markov model based search for orthologs in ESTs. BMC Evol. Biol. 9, 157 (2009).

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  70. 70.

    Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  71. 71.

    Katoh, K., Kuma, K., Toh, H. & Miyata, T. MAFFT version 5: improvement in accuracy of multiple sequence alignment. Nucleic Acids Res. 33, 511–518 (2005).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  72. 72.

    Misof, B. & Misof, K. A monte carlo approach successfully identifies randomness in multiple sequence alignments: a more objective means of data exclusion. Syst. Biol. 58, 21–34 (2009).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  73. 73.

    Kück, P. ALICUT: a PerlScript which cuts ALISCORE identified RSS. Dep. Bioinforma. Zool. Forschungsmuseum Koenig ZFMK Bonn Ger. Version 2 (2009).

  74. 74.

    Rice, P., Longden, I. & Bleasby, A. EMBOSS: the European molecular biology open software suite. Trends Genet. 16, 276–277 (2000).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  75. 75.

    Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2 – approximately maximum-likelihood trees for large alignments. Plos One 5, e9490 (2010).

    ADS  PubMed  Article  CAS  PubMed Central  Google Scholar 

  76. 76.

    Kocot, K. M., Citarella, M. R., Moroz, L. L. & Halanych, K. M. PhyloTreePruner: a phylogenetic tree-based approach for selection of orthologous sequences for phylogenomics. Evol. Bioinformatics 9, 429 (2013).

    CAS  Article  Google Scholar 

  77. 77.

    Kück, P. & Meusemann, K. FASconCAT: Convenient handling of data matrices. Mol. Phylogenet. Evol. 56, 1115–1118 (2010).

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  78. 78.

    Lartillot, N., Lepage, T. & Blanquart, S. PhyloBayes 3: a Bayesian software package for phylogenetic reconstruction and molecular dating. Bioinformatics 25, 2286 (2009).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  79. 79.

    Shimodaira, H. An approximately unbiased test of phylogenetic tree selection. Syst. Biol. 51, 492–508 (2002).

    PubMed  Article  Google Scholar 

  80. 80.

    Shimodaira, H. & Hasegawa, M. Multiple comparisons of log-likelihoods with applications to phylogenetic inference. Mol. Biol. Evol. 16, 1114–1116 (1999).

    CAS  Article  Google Scholar 

  81. 81.

    Shimodaira, H. & Hasegawa, M. CONSEL: for assessing the confidence of phylogenetic tree selection. Bioinformatics 17, 1246–1247 (2001).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  82. 82.

    Drummond, A. J., Suchard, M. A., Xie, D. & Rambaut, A. Bayesian Phylogenetics with BEAUti and the BEAST 1.7. Mol. Biol. Evol. 29, 1969–1973 (2012).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  83. 83.

    Passamaneck, Y. J., Schander, C. & Halanych, K. M. Investigation of molluscan phylogeny using large-subunit and small-subunit nuclear rRNA sequences. Mol. Phylogenet. Evol. 32, 25–38 (2004).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  84. 84.

    Meyer, A., Todt, C., Mikkelsen, N. & Lieb, B. Fast evolving 18S rRNA sequences from Solenogastres (Mollusca) resist standard PCR amplification and give new insights into mollusk substitution rate heterogeneity. BMC Evol. Biol. 10, 70 (2010).

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  85. 85.

    Stöger, I. & Schrödl, M. Mitogenomics does not resolve deep molluscan relationships (yet?). Mol. Phylogenet. Evol. 69, 376–392 (2013).

    PubMed  Article  PubMed Central  Google Scholar 

  86. 86.

    Nishiguchi, M. K. & Mapes, R. H. Cephalopoda. Phylogeny Evol. Mollusca 163–199 (2008).

  87. 87.

    Vendrasco, M. J. & Runnegar, B. Late Cambrian and early Ordovician stem group chitons (Mollusca: Polyplacophora) from Utah and Missouri. J. Paleontol. 78, 675–689 (2004).

    Article  Google Scholar 

  88. 88.

    Nützel, A., Erwin, D. H. & Mapes, R. H. Identity and phylogeny of the late Paleozoic Subulitoidea (Gastropoda). J. Paleontol. 74, 575–598 (2000).

    Article  Google Scholar 

  89. 89.

    Yochelson, E. L. Scaphopoda. In Functional Morphology of the Invertebrate Skeleton 363–367 (Wiley, 1999).

Download references


Laevipilina antarctica was collected during the ANDEEP-SYSTCO expedition on R/V Polarstern; thanks go to the AWI, the Captain and the Crew, to the cruise leader Prof. Angelika Brandt (Frankfurt), and to Enrico Schwabe (ZSM) for facilitating specimen collection. We thank Peter Kohnert and Katharina Jörger for providing photographs. We thank Rebecca Varney and Meghan Yap Chiongco for providing helpful feedback on an earlier version of this manuscript. This project was supported by the Deep Metazoan and the Antarctic Priority Programmes of the German Research Foundation (DFG SCHR667/9-1 and SCHR667/15-1), an LMU graduate stipend to I.S., and NSF DEB 1845174 and University of Alabama start-up funds to K.M.K. This is Auburn University Marine Biology Program contribution #194 and Molette Lab contribution #95.

Author information




M.S. and A.J.P. conceived the project. M.S. collected the specimen of L. antarctica. A.J.P. prepared sequencing libraries, assembled and annotated the genome, and conducted other bioinformatic analyses. K.M.K. conducted dataset preparation for phylogenomic analysis, orthology inference, dataset processing, and most phylogenetic analyses. I.S. conducted molecular clock analyses. K.M.K., M.S., K.M.H., I.S. and A.J.P. wrote the manuscript and approved the final version.

Corresponding author

Correspondence to Kevin M. Kocot.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kocot, K.M., Poustka, A.J., Stöger, I. et al. New data from Monoplacophora and a carefully-curated dataset resolve molluscan relationships. Sci Rep 10, 101 (2020).

Download citation

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing