Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Letter
  • Published:

The mid-developmental transition and the evolution of animal body plans

An Author Correction to this article was published on 31 October 2019

This article has been updated

Abstract

Animals are grouped into ~35 ‘phyla’ based upon the notion of distinct body plans1,2,3,4. Morphological and molecular analyses have revealed that a stage in the middle of development—known as the phylotypic period—is conserved among species within some phyla5,6,7,8,9. Although these analyses provide evidence for their existence, phyla have also been criticized as lacking an objective definition, and consequently based on arbitrary groupings of animals10. Here we compare the developmental transcriptomes of ten species, each annotated to a different phylum, with a wide range of life histories and embryonic forms. We find that in all ten species, development comprises the coupling of early and late phases of conserved gene expression. These phases are linked by a divergent ‘mid-developmental transition’ that uses species-specific suites of signalling pathways and transcription factors. This mid-developmental transition overlaps with the phylotypic period that has been defined previously for three of the ten phyla, suggesting that transcriptional circuits and signalling mechanisms active during this transition are crucial for defining the phyletic body plan and that the mid-developmental transition may be used to define phylotypic periods in other phyla. Placing these observations alongside the reported conservation of mid-development within phyla, we propose that a phylum may be defined as a collection of species whose gene expression at the mid-developmental transition is both highly conserved among them, yet divergent relative to other species.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Comparing development across ten phyla using CEL-Seq.
Figure 2: Dynamic embryonic expression throughout the animal kingdom.
Figure 3: Cross-phyla comparison of developmental transcriptomes.
Figure 4: An inverse hourglass model for animal evolution.

Similar content being viewed by others

Accession codes

Primary accessions

Gene Expression Omnibus

Change history

  • 31 October 2019

    An Amendment to this paper has been published and can be accessed via a link at the top of the paper.

References

  1. Valentine, J. W. On the Origin of Phyla (Univ. Chicago Press, 2004)

  2. Haeckel, E. The Evolution of Man Vol. 1 (C. K. Paul & Company, 1879)

  3. Darwin, C. On the Origin of Species by Means of Natural Selection, or, The Preservation of Favoured Races in the Struggle for Life (J. Murray, 1859)

  4. Gould, S. J. Ontogeny and Phylogeny . (Harvard Univ. Press, 1977)

  5. Abzhanov, A. Von Baer’s law for the ages: lost and found principles of developmental evolution. Trends Genet. 29, 712–722 (2013)

    Article  CAS  Google Scholar 

  6. Kalinka, A. T. et al. Gene expression divergence recapitulates the developmental hourglass model. Nature 468, 811–814 (2010)

    Article  ADS  CAS  Google Scholar 

  7. Levin, M., Hashimshony, T., Wagner, F. & Yanai, I. Developmental milestones punctuate gene expression in the Caenorhabditis embryo. Dev. Cell 22, 1101–1108 (2012)

    Article  CAS  Google Scholar 

  8. Domazet-Lošo, T. & Tautz, D. A phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns. Nature 468, 815–818 (2010)

    Article  ADS  Google Scholar 

  9. Irie, N. & Kuratani, S. Comparative transcriptome analysis reveals vertebrate phylotypic period during organogenesis. Nature Commun . 2, 248 (2011)

    Article  ADS  Google Scholar 

  10. Scholtz, G. in Evolutionary Developmental Biology of Crustacea. Crustacean Issues 15. 3–16 (A. A. Balkema, 2004)

    Google Scholar 

  11. Ryan, J. F. et al. The genome of the ctenophore Mnemiopsis leidyi and its implications for cell type evolution. Science 342, 1242592 (2013)

    Article  Google Scholar 

  12. Hashimshony, T., Wagner, F., Sher, N. & Yanai, I. CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. Cell Rep . 2, 666–673 (2012)

    Article  CAS  Google Scholar 

  13. Anavy, L. et al. BLIND ordering of large-scale transcriptomic developmental timecourses. Development 141, 1161–1166 (2014)

    Article  CAS  Google Scholar 

  14. Davidson, E. H. The Regulatory Genome: Gene Regulatory Networks in Development And Evolution (Academic Press, 2006)

  15. Ballard, W. W. Morphogenetic movements and fate maps of vertebrates. Am. Zool. 21, 391–399 (1981)

    Article  Google Scholar 

  16. Patel, N. H. Developmental evolution: insights from studies of insect segmentation. Science 266, 581–590 (1994)

    Article  ADS  CAS  Google Scholar 

  17. Sander, K. in Development and Evolution (eds Goodwin, B. C., Holder, N. & Wylie, C. C. ) 137–160 (Cambridge Univ. Press, 1983)

  18. Fischer, A. H., Henrich, T. & Arendt, D. The normal development of Platynereis dumerilii (Nereididae, Annelida). Front. Zool. 7, 31 (2010)

    Article  Google Scholar 

  19. Slack, J. M. W. in Keywords and Concepts in Evolutionary Developmental Biology (eds Hall, B. K. & Olson, W. M. ) 476 (Harvard Univ. Press, 2003)

  20. Cardona, A., Hartenstein, V. & Romero, R. Early embryogenesis of planaria: a cryptic larva feeding on maternal resources. Dev. Genes Evol. 216, 667–681 (2006)

    Article  Google Scholar 

  21. Martín-Durán, J. M. & Egger, B. Developmental diversity in free-living flatworms. Evodevo 3, 7 (2012)

    Article  Google Scholar 

  22. Adamska, M. et al. The evolutionary origin of hedgehog proteins. Curr. Biol. 17, R836–R837 (2007)

    Article  CAS  Google Scholar 

  23. Raff, R. A. The Shape of Life: Genes, Development, and the Evolution of Animal Form (Univ. Chicago Press, 1996)

  24. Richardson, M. K. Vertebrate evolution: the developmental origins of adult variation. Bioessays 21, 604–613 (1999)

    Article  CAS  Google Scholar 

  25. Slack, J. M., Holland, P. W. & Graham, C. F. The zootype and the phylotypic stage. Nature 361, 490–492 (1993)

    Article  ADS  CAS  Google Scholar 

  26. Larroux, C. et al. The NK homeobox gene cluster predates the origin of Hox genes. Curr. Biol. 17, 706–710 (2007)

    Article  CAS  Google Scholar 

  27. Ryan, J. F., Pang, K., Mullikin, J. C., Martindale, M. Q. & Baxevanis, A. D. The homeodomain complement of the ctenophore Mnemiopsis leidyi suggests that Ctenophora and Porifera diverged prior to the ParaHoxozoa. Evodevo 1, 9 (2010)

    Article  Google Scholar 

  28. Hashimshony, T., Feder, M., Levin, M., Hall, B. K. & Yanai, I. Spatiotemporal transcriptomics reveals the evolutionary history of the endoderm germ layer. Nature 519, 219–222 (2015)

    Article  ADS  CAS  Google Scholar 

  29. Hejnol, A. et al. Assessing the root of bilaterian animals with scalable phylogenomic methods. Proc. R. Soc. Lond . B 276, 4261–4270 (2009)

    Google Scholar 

  30. Dunn, C. W. et al. Broad phylogenomic sampling improves resolution of the animal tree of life. Nature 452, 745–749 (2008)

    Article  ADS  CAS  Google Scholar 

  31. Martín-Durán, J. M., Duocastella, M., Serra, P. & Romero, R. New method to deliver exogenous material into developing planarian embryos. J. Exp. Zool. B Mol. Dev. Evol . 310, 668–681 (2008)

    Article  Google Scholar 

  32. Martín-Durán, J. M., Amaya, E. & Romero, R. Germ layer specification and axial patterning in the embryonic development of the freshwater planarian Schmidtea polychroa. Dev. Biol. 340, 145–158 (2010)

    Article  Google Scholar 

  33. Gabriel, W. N. et al. The tardigrade Hypsibius dujardini, a new model for studying the evolution of development. Dev. Biol. 312, 545–559 (2007)

    Article  CAS  Google Scholar 

  34. Kiehart, D. P., Crawford, J. M. & Montague, R. A. Collection, dechorionation, and preparation of Drosophila embryos for quantitative microinjection. Cold Spring Harb. Protoc. 2007, http://dx.doi.org/10.1101/pdb.prot4717 (2007)

  35. Detrich, H. W., Westerfield, M. & Zon, L. I. Essential Zebrafish Methods: Cell and Developmental Biology . (Academic Press, 2009)

  36. Fritzenwanker, J. H. & Technau, U. Induction of gametogenesis in the basal cnidarian Nematostella vectensis(Anthozoa). Dev. Genes Evol. 212, 99–103 (2002)

    Article  Google Scholar 

  37. Pang, K. & Martindale, M. Q. Mnemiopsis leidyi spawning and embryo collection. Cold Spring Harb. Protoc. 2008, http://dx.doi.org/10.1101/pdb.prot5085 (2008)

  38. Joshi, N. & Fass, J. Sickle: A sliding-window, adaptive, quality-based trimming tool for FastQ files. https://github.com/najoshi/sickle ((2011)

  39. Vince, B. Scythe — A Bayesian adapter trimmer . https://github.com/vsbuffalo/scythe (2011)

  40. Gnerre, S. et al. High-quality draft assemblies of mammalian genomes from massively parallel sequence data. Proc. Natl Acad. Sci. USA 108, 1513–1518 (2011)

    Article  ADS  CAS  Google Scholar 

  41. Boothby, T. C. et al. Evidence for extensive horizontal gene transfer from the draft genome of a tardigrade. Proc. Natl Acad. Sci. USA 112, 15976–15981 (2015)

    Article  ADS  CAS  Google Scholar 

  42. Koutsovoulos, G. et al. The genome of the tardigrade Hypsibius dujardini. Preprint at bioRxiv http://dx.doi.org/10.1101/033464 (2015)

  43. Sullivan, J. C., Reitzel, A. M. & Finnerty, J. R. Upgrades to StellaBase facilitate medical and genetic studies on the starlet sea anemone, Nematostella vectensis. Nucleic Acids Res. 36, D607–D611 (2008)

    Article  CAS  Google Scholar 

  44. Hashimshony, T., Wagner, F., Sher, N. & Yanai, I. CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. Cell Rep . 2, 666–673 (2012)

    Article  CAS  Google Scholar 

  45. Baker, S. C. et al. The External RNA Controls Consortium: a progress report. Nature Methods 2, 731–734 (2005)

    Article  CAS  Google Scholar 

  46. Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nature Methods 9, 357–359 (2012)

    Article  CAS  Google Scholar 

  47. Anders, S., Pyl, P. T. & Huber, W. HTSeq—A Python framework to work with high-throughput sequencing data. Bioinformatics 31, 166–169 (2015)

    Article  CAS  Google Scholar 

  48. Haas, B. J. et al. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. Nature Protocols 8, 1494–1512 (2013)

    Article  CAS  Google Scholar 

  49. 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)

    Article  CAS  Google Scholar 

  50. Punta, M. et al. The Pfam protein families database. Nucleic Acids Res. 40, D290–D301 (2012)

    Article  CAS  Google Scholar 

  51. Finn, R. D., Clements, J. & Eddy, S. R. HMMER web server: interactive sequence similarity searching. Nucleic Acids Res. 39, W29–W37 (2011)

    Article  CAS  Google Scholar 

  52. Li, L., Stoeckert, C. J. & Roos, D. S. OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 13, 2178–2189 (2003)

    Article  CAS  Google Scholar 

  53. 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 (2015)

Download references

Acknowledgements

We thank M. Rockman and B. de Bivort for helpful discussions. We also thank U. Gat, A. Salzberg, S. B. Tabou De Leon, M. Blaxter, G. Koutsovoulos, S. Mansour, and B. Goldstein for materials and reagents. We thank the Technion Genome Center for technical assistance and the Radcliffe Institute for Advanced Studies at Harvard University for hosting the analysis phase. This work was supported by a European Research Council grant (EvoDevoPaths), the EMBO Young Investigator Program, and a grant from the Australian Research Council.

Author information

Authors and Affiliations

Authors

Contributions

M.L., T.H., and I.Y. conceived and designed the project. M.L. led the collection of samples with help from N.N., D.S., N.M., S.K. and A.J.-V. The processing of the samples for CEL-Seq was carried out by M.L., T.H., N.M., S.K., and N.S. De novo transcriptome assembly was carried out by L.A. with assistance from I.Y., E.W., J.F.R., and S.-Y.L. Processing of CEL-Seq reads and initial bioinformatics was performed by L.A. with help from M.F., E.W., E.K., D.H.S, O.S., T.L., and S.L.F.-V. The data was analysed by I.Y. and L.A. I.Y. coordinated the interpretation of the data with significant help from B.M.D.; L.A., S.M.D., T.H., A.G.C., D.A., J.F.R., M.Q.M., K.Y., and J.C.R. also contributed to the interpretation of the data. I.Y. wrote the manuscript which the authors commented on.

Corresponding author

Correspondence to Itai Yanai.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Additional information

The complete data set has been deposited to the NCBI GEO database GSE70185.

Extended data figures and tables

Extended Data Figure 1 A schematic for the de novo transcriptome analysis.

See also the Methods section. CEL-Seq reads were mapped to the published transcriptomes where available.

Extended Data Figure 2 Gene expression time-courses for ten species.

a, BLIND analysis on the reported time-courses. The colour indicates the ordering. The species is indicated for each plot. b, The number of dynamically expressed genes for each species. The species are shown in the same order as in the main figures. Constitutively high (low) expression is defined as that where the maximum expression is more (less) than the 10 transcripts per million threshold yet is not dynamic (two-fold change and at least 10 transcripts per million maximum expression).

Extended Data Figure 3 Testing the significance of the transition in the orthologue correlation matrices shown in Fig. 3.

a, Schematic indicating the mid-developmental transition (orange), correlations among windows of the same phase (green), and correlations among windows of different phases (grey). b, The orange squares indicate statistical tests examined in c. c, For each pair of species a series of Kolmogorov–Smirnov tests are shown. Each test compares the intra-phase to the inter-phase correlations (a) for the mid-developmental transition and three windows before and after it (b). The yellow boxes indicate those species comparisons where there is significant statistical evidence for the dual-phase pattern (higher significance for the middle tests).

Extended Data Figure 4 Robustness of Fig. 3 analysis.

a, The analysis was repeated using the indicated number of sliding windows. b, The analysis was repeated by randomly removing embryo transcriptomes. From each of the ten data sets, we removed 10%, 20% or 30% of the embryos and repeated the analysis using 20 windows. We repeated this five times and then re-identified the mid-developmental transition. The plot indicates the median and standard deviation of the detected mid-developmental transition windows across these trials. In all species, the median is identical to the mid-developmental transition identified by the complete data set. c, d, Same as Fig. 3, using all detected orthologues for the pairwise comparisons (not limited to 1,500 as in Fig. 3, the number of examined orthologues are indicated above each plot) (c), and a set of 407 orthologues (d) across all taxa.

Extended Data Figure 5 Gene enrichment analysis.

a, A landscape showing for each gene (circle) the correlation with an idealized ‘late module profile’ (x axis) and with a ‘transition profile’ (y axis). The idealized profiles used to compute correlations are shown in the insets. Spots correspond to C. elegans genes. They are coloured according to the assigned sets: early module (blue), mid-developmental transition (red), and late module (yellow). b, Gene Ontology (GO) enrichment for the early phase, transition, and late phase gene sets. The gene sets were defined by integrating expression from all ten species. ‘RNA polymerase II…’ is short for ‘RNA polymerase II core promoter sequence-specific DNA binding transcription factor activity involved in preinitiation complex assembly’. The legend indicates the assigned sets: early phase (blue), mid-developmental transition (red), and late phases (yellow). The profiles are of length seven since we examined three windows before and after the mid-developmental transition.

Extended Data Figure 6 PFAM enrichment and conservation across phyla.

a, For each of 5,746 PFAM protein domains, we computed an expression signature based upon the fraction of its genes expressed at each stage throughout development across each of the ten species. As an example of this approach, a shows the signatures for six PFAMs, indicating the normalized fraction of genes in that group expressed at the time points surrounding the transition for each species. The profiles are centred according to the mid-developmental transition as defined in Fig. 3, examining four windows before and after it. The greyscale indicates the fraction of genes expressed in each window. We attributed a phase of expression for each PFAM in each species, as we have for individual genes. To the right of each PFAM signature is the annotated phase; early (blue), mid-developmental transition (red), or late (yellow). We then computed the degree to which the temporal expression across phyla matches a coherent phase expression in three groupings: metazoan, bilaterian, and protostomes. b, Metazoan (all ten species), bilaterian (all except the cnidarian, sponge, and ctenophore), and protostome (nematode, arthropod, tardigrade, annelid, and platyhelminth) groups are shown. To identify PFAMs in the metazoan group, we queried for PFAMs whose signature contains the same temporal phases of expression across the species. The metazoan-consistent PFAMs were nearly exclusively expressed in the early phase, suggesting stronger evolutionary constraints on this phase. A similar pattern was also observed for PFAMs with coherent expression in the seven bilaterian species in our data set. From this analysis, we conclude that bilaterians and protostomes each possess unique suites of innovations that are reflected in these shared phase-specific PFAM enrichments. Interestingly, protostome-coherent PFAMs are biased towards the late phases, possibly related to common differentiation processes operating in these taxa.

Extended Data Figure 7 Same as Fig. 4c, d for PFAM analysis.

The degree of conservation of early, transition, and late phase annotation of PFAMs was computed across species. A similar pattern was observed as that for orthologues (Fig. 4c, d).

Extended Data Table 1 Developmental systematics of the examined species
Extended Data Table 2 Basic statistics of the expression data
Extended Data Table 3 Assemblies for CEL-Seq mapping and their BUSCO completeness53

Supplementary information

Supplementary Information

This file contains Supplementary Table 1. (PDF 462 kb)

PowerPoint slides

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Levin, M., Anavy, L., Cole, A. et al. The mid-developmental transition and the evolution of animal body plans. Nature 531, 637–641 (2016). https://doi.org/10.1038/nature16994

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nature16994

This article is cited by

Comments

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.

Search

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