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.

  • Article
  • Published:

Parasites dominate hyperdiverse soil protist communities in Neotropical rainforests

Abstract

High animal and plant richness in tropical rainforest communities has long intrigued naturalists. It is unknown if similar hyperdiversity patterns are reflected at the microbial scale with unicellular eukaryotes (protists). Here we show, using environmental metabarcoding of soil samples and a phylogeny-aware cleaning step, that protist communities in Neotropical rainforests are hyperdiverse and dominated by the parasitic Apicomplexa, which infect arthropods and other animals. These host-specific parasites potentially contribute to the high animal diversity in the forests by reducing population growth in a density-dependent manner. By contrast, too few operational taxonomic units (OTUs) of Oomycota were found to broadly drive high tropical tree diversity in a host-specific manner under the Janzen-Connell model. Extremely high OTU diversity and high heterogeneity between samples within the same forests suggest that protists, not arthropods, are the most diverse eukaryotes in tropical rainforests. Our data show that protists play a large role in tropical terrestrial ecosystems long viewed as being dominated by macroorganisms.

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: Similarity of protists to the taxonomic reference database.
Figure 2: Phylogenetic placement of Neotropical soil protist reads on a taxonomically unconstrained global eukaryotic tree.
Figure 3: Taxonomic identity and relative abundances of soil protist reads and OTUs in three Neotropical rainforests.

Similar content being viewed by others

References

  1. von Humboldt, A. & Bonpland, A. Personal Narrative of Travels to the Equinoctial Regions of the New Continent, During the Years 1799–1804 (Longman, Hurst, Rees, Orme & Brown, 1814–1829).

    Google Scholar 

  2. Valencia, R., Balslev, H. & Paz Y Miño, G. High tree alpha-diversity in Amazonian Ecuador. Biodivers. Conserv. 3, 21–28 (1994).

    Google Scholar 

  3. Wilson, E. O. The arboreal ant fauna of Peruvian Amazon forests: a first assessment. Biotropica 19, 245–251 (1987).

    Google Scholar 

  4. Janzen, D. H. Herbivores and the number of tree species in tropical forests. Am. Nat. 104, 501–528 (1970).

    Google Scholar 

  5. Connell, J. H. in Dynamics of Population (eds Den Boer, P. J. & Gradwell, G. R. ) 298–392 (Wageningen, 1971).

    Google Scholar 

  6. Bagchi, R. et al. Pathogens and insect herbivores drive rainforest plant diversity and composition. Nature 506, 85–88 (2014).

    CAS  PubMed  Google Scholar 

  7. Terborgh, J. Enemies maintain hyperdiverse tropical forests. Am. Nat. 107, 481–501 (2012).

    Google Scholar 

  8. Basset, Y. et al. Arthropod diversity in a tropical forest. Science 338, 1481–1484 (2012).

    CAS  PubMed  Google Scholar 

  9. Erwin, T. L. Tropical forests, their richness in Coleoptera and other arthropod species. Coleopts. Bull. 36, 74–75 (1982).

    Google Scholar 

  10. Pawlowski, J. et al. CBOL Protist Working Group: barcoding eukaryotic richness beyond the animal, plant, and fungal kingdoms. PLoS Biol. 10, e1001419 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  11. de Vargas, C. et al. Eukaryotic plankton diversity in the sunlit ocean. Science 348, 1261605 (2015).

    PubMed  Google Scholar 

  12. Guillou, L. et al. The Protist Ribosomal Reference database (PR2): a catalog of unicellular eukaryote small sub-unit rRNA sequences with curated taxonomy. Nucleic Acids Res. 41, D597–D604 (2013).

    CAS  PubMed  Google Scholar 

  13. Stoeck, T. et al. Multiple marker parallel tag environmental DNA sequencing reveals a highly complex eukaryotic community in marine anoxic water. Mol. Ecol. 19, 21–31 (2010).

    CAS  PubMed  Google Scholar 

  14. Berger, S. A., Krompass, D. & Stamatakis, A. Performance, accuracy, and web server for evolutionary placement of short sequence reads under maximum likelihood. Syst. Biol. 60, 291–302 (2011).

    PubMed  PubMed Central  Google Scholar 

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

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Mahé, F., Rognes, T., Quince, C., de Vargas, C. & Dunthorn, M. Swarm v2: highly-scalable and high-resolution amplicon clustering. PeerJ 3, e1761 (2015).

    Google Scholar 

  17. Dunthorn, M. et al. Placing environmental next-generation sequencing amplicons from microbial eukaryotes into a phylogenetic context. Mol. Biol. Evol. 31, 993–1009 (2014).

    CAS  PubMed  Google Scholar 

  18. Desportes, I. & Schrével, J. Treatise on Zoology—Anatomy, Taxonomy, Biology: The Gregarines Vols 1 & 2 (Brill, 2013).

    Google Scholar 

  19. Perkins, F. O., Barta, J. R., Clopton, R. E., Peirce, M. A. & Upton, S. J. in An Illustrated Giude to the Protozoa 2nd edn (eds Lee, J. J., Leedale, G. F. & Bradbury, P. ) 190–369 (Society of Protozoologists, 2002).

    Google Scholar 

  20. Adl, S. M. et al. The revised classification of eukaryotes. J. Eukaryot. Microbiol. 59, 429–493 (2012).

    PubMed  PubMed Central  Google Scholar 

  21. Dawson, S. C. & Pace, N. R. Novel kingdom-level eukaryotic diversity in anoxic environments. Proc. Natl Acad. Sci. USA 99, 8324–8329 (2002).

    CAS  PubMed  Google Scholar 

  22. Edvardsen, B., Egge, E. & Vaulot, D. Diversity and distribution of haptophytes revealed by environmental sequencing and metabarcoding — a review. Perspec. Phycol. 3, 77–91 (2016).

    Google Scholar 

  23. Elbert, W. et al. Contribution of cryptogamic covers to the global cycles of carbon and nitrogen. Nat. Geosci. 5, 459–462 (2012).

    CAS  Google Scholar 

  24. Gentry, A. H. Four Neotropical Rainforests (Yale Univ. Press, 1991).

    Google Scholar 

  25. Hu, S. K. et al. Protistan diversity and activity inferred from RNA and DNA at a coastal ocean site in the eastern North Pacific. FEMS Microbiol. Ecol. 92, fiw050 (2016).

    PubMed  Google Scholar 

  26. Filker, S., Gimmler, A., Dunthorn, M., Mahé, F. & Stoeck, T. Deep sequencing uncovers high and substantial novel diversity in protistan plankton of solar saltern ponds. Extremophiles 19, 283–295 (2015).

    CAS  PubMed  Google Scholar 

  27. Forster, D. et al. Benthic protists: the under-charted majority. FEMS Microbiol. Ecol. 92, fiw120 (2016).

    PubMed  Google Scholar 

  28. Logares, R. et al. Patterns of rare and abundant marine microbial eukaryotes. Curr. Biol. 24, 813–821 (2014).

    CAS  PubMed  Google Scholar 

  29. Richards, T. A. et al. Molecular diversity and distribution of marine fungi across 130 European environmental samples. Proc. R. Soc. B 282, 20152243 (2015).

    PubMed  Google Scholar 

  30. Adl, S. M., Habura, A. & Eglit, Y. Amplification primers of SSU rDNA for soil protists. Soil Biol. Biochem. 69, 328–342 (2014).

    CAS  Google Scholar 

  31. Hu, S. K. et al. Estimating protistan diversity using high-throughput sequencing. J. Eukaryot. Microbiol. 62, 688–693 (2015).

    CAS  PubMed  Google Scholar 

  32. Lentendu, G. et al. Effects of long-term differential fertilization on eukaryotic microbial communities in an arable soil: a multiple barcoding approach. Mol. Ecol. 23, 3341–3355 (2014).

    CAS  PubMed  Google Scholar 

  33. Forster, D., Dunthorn, M., Stoeck, T. & Mahé, F. Comparison of three clustering approaches for detecting novel environmental microbial diversity. PeerJ 4, e1692 (2016).

    PubMed  PubMed Central  Google Scholar 

  34. Adl, S. & Gupta, V. V. S. R. Protists in soil ecology and forest nutrient cycling. Can. J. For. Res. 36, 1805–1817 (2006).

    Google Scholar 

  35. Bates, S. T. et al. Global biogeography of highly diverse protistan communities in soil. ISME J. 7, 652–659 (2013).

    CAS  PubMed  Google Scholar 

  36. Dumack, K., Müller, M. E. H. & Bonkowski, M. Description of Lecythium terrestris sp. nov. (Chlamydophryidae, Cercozoa), a soil dwelling protist feeding on fungi and algae. Protist 167, 93–105 (2016).

    CAS  PubMed  Google Scholar 

  37. Dupont, A., Griffiths, R. I., Bell, T. & Bass, D. Differences in soil micro-eukaryotic communities over soil pH gradients are strongly driven by parasites and saprotrophs. Environ. Microbiol. 18, 2010–2024 (2016).

    CAS  PubMed  Google Scholar 

  38. Geisen, S. et al. Metatranscriptomic census of active protists in soils. ISME J. 9, 2178–2190 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Grossmann, L. et al. Protistan community analysis: key findings of a large-scale molecular sampling. ISME J. 10, 2269–2279 (2016).

    PubMed  PubMed Central  Google Scholar 

  40. Foissner, W. Colpodea (Cillophora) (Protozoenfauna Vol. 4/1, Gustav Fischer Verlag, 1993).

  41. Mitchell, E. A. D. Pack hunting by minute soil testate amoebae: nematode hell is a naturalist’s paradise. Environ. Microbiol. 17, 4145–4147 (2015).

    PubMed  Google Scholar 

  42. Ellis, V. A. et al. Local host specialization, host-switching, and dispersal shape the regional distributions of avian haemosporidian parasites. Proc. Natl Acad. Sci. USA 112, 11294–11299 (2015).

    CAS  PubMed  Google Scholar 

  43. Rueckert, S., Villette, P. M. & Leander, B. S. Species boundaries in gregarine apicomplexan parasites: a case study-comparison of morphometric and molecular variability in Lecudina cf. tuzetae (Eugregarinorida, Lecudinidae). J. Eukaryot. Microbiol. 58, 275–283 (2011).

    PubMed  Google Scholar 

  44. Asghar, M. et al. Hidden costs of infection: chronic malaria accelerates telomere degradation and senescence in wild birds. Science 347, 436–438 (2015).

    CAS  PubMed  Google Scholar 

  45. Bouwma, A. M., Howard, K. J. & Jeanne, R. L. Parasitism in a social wasp: effect of gregarines on foraging behavior, colony productivity, and adult mortality. Behav. Ecol. Sociobiol. 59, 222–233 (2005).

    Google Scholar 

  46. Freckleton, R. P. & Lewis, O. T. Pathogens, density dependence and the coexistence of tropical trees. Proc. R. Soc. B 273, 2909–2916 (2006).

    PubMed  Google Scholar 

  47. Farrell, B. D. “Inordinate fondness” explained: Why are there so many beetles? Science 281, 555–559 (1998).

    CAS  PubMed  Google Scholar 

  48. Knoll, A. H. Paleobiological perspectives on early eukaryotic evolution. Cold Spring Harb. Perspect. Biol. 6, a016121 (2014).

    PubMed  PubMed Central  Google Scholar 

  49. Tedersoo, L. et al. Global diversity and geography of soil fungi. Science 346, 1256688 (2014).

    PubMed  Google Scholar 

  50. Orsi, W., Biddle, J. F. & Edgcomb, V. Deep sequencing of subseafloor eukaryotic rRNA reveals active fungi across marine subsurface provinces. PLoS ONE 8, e56335 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  51. Pawlowski, J., Esling, P., Lejzerowicz, F., Cedhagen, T. & Wilding, T. Environmental monitoring through protist next-generation sequencing metabarcoding: assessing the impact of fish farming on benthic foraminifera communities. Mol. Ecol. Res. 14, 1129–1140 (2014).

    CAS  Google Scholar 

  52. Mahé, F. et al. Comparing high-throughput platforms for sequencing the hyper-variable V4 region in environmental eukaryotic diversity surveys. J. Eukaryot. Microbiol. 62, 338–345 (2015).

    PubMed  Google Scholar 

  53. Lara, E., Berney, C., Harms, H. & Chatzinotas, A. Cultivation-independent analysis reveals a shift in ciliate 18S rRNA gene diversity in a polycyclic aromatic hydrocarbon-polluted soil. FEMS Microbiol. Ecol. 62, 365–373 (2007).

    CAS  PubMed  Google Scholar 

  54. Magoč, T. & Salzberg, S. L. FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics 27, 2957–2963 (2011).

    PubMed  PubMed Central  Google Scholar 

  55. Zhang, J., Kobert, K., Flouri, T. & Stamatakis, A. PEAR: a fast and accurate Illumina Paired-End reAd mergeR. Bioinformatics 30, 614–620 (2014).

    Google Scholar 

  56. Massana, R. et al. Marine protist diversity in European coastal waters and sediments as revealed by high-throughput sequencing. Environ. Microbiol. 17, 4035–4049 (2015).

    CAS  PubMed  Google Scholar 

  57. Amaral-Zettler, L. A., McCliment, E. A., Ducklow, H. W. & Huse, S. M. A method for studying protistian diversity using massively parallel sequencing of V9 hypervariable region of small-subunit ribosomal RNA genes. PLoS ONE 4, 7 (2009).

    Google Scholar 

  58. Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal 17, 10–12 (2011).

    Google Scholar 

  59. Rognes, T., Flouri, T., Nichols, B., Quince, C. & Mahé, F. VSEARCH: a versatile open source tool for metagenomics. PeerJ 4, e2584 (2016).

    PubMed  PubMed Central  Google Scholar 

  60. Mahé, F. Stampa: sequence taxonomic assignment by massive pairwise alignments. GitHubhttps://github.com/frederic-mahe/stampa (2016).

  61. Burki, F. The eukaryotic tree of life from a global phylogenomic perspective. Cold Spring Harb. Perspect Biol. 6, a016147 (2014).

    PubMed  PubMed Central  Google Scholar 

  62. del Campo, J. et al. The others: our biased perspective of eukaryotic genomes. Trends Ecol. Evol. 29, 252–259 (2014).

    PubMed  PubMed Central  Google Scholar 

  63. Barta, J. R., Ogedengbe, J. D., Martin, D. S. & Smith, T. G. Phylogenetic position of the adeleorinid coccidia (Myzozoa, Apicomplexa, Coccidia, Eucoccidiorida, Adeleorina) inferred using 18S rDNA sequences. J. Eukaryot. Microbiol. 59, 171–180 (2012).

    CAS  PubMed  Google Scholar 

  64. Bass, D. & Cavalier-Smith, T. Phylum-specific environmental DNA analysis reveals remarkably high global biodiversity of Cercozoa (Protozoa). Int. J. Syst. Evol. Microbiol. 54, 2393–2404 (2004).

    CAS  PubMed  Google Scholar 

  65. Gomez, F., López-Garcia, P., Nowaczyk, A. & Moreira, D. The crustacean parasites Ellobiopsis Caullery, 1910 and Thalassomyces Niezabitowski, 1913 form a monophyletic divergent clade within the Alveolata. Syst. Parasitol. 74, 65–74 (2009).

    PubMed  Google Scholar 

  66. Rueckert, S. & Leander, B. S. Molecular phylogeny and surface morphology of marine archigregarines (Apicomplexa), Selenidium spp., Filipodium phascolosomae n. sp., and Platyproteum n. g. and comb. from North-Eastern Pacific peanut worms (Sipuncula). J. Eukaryot. Microbiol. 56, 428–439 (2009).

    CAS  PubMed  Google Scholar 

  67. Rueckert, S., Chantangsi, C. & Leander, B. S. Molecular systematics of marine gregarines (Apicomplexa) from North-eastern Pacific polychaetes and nemerteans, with descriptions of three novel species: Lecudina phyllochaetopteri sp. nov., Difficilina tubulani sp. nov. and Difficilina paranemertis sp. nov. Int. J. Syst. Evol. Microbiol. 60, 2681–2690 (2010).

    CAS  PubMed  Google Scholar 

  68. Slapeta, J. & Linares, M. C. Combined amplicon pyrosequencing assays reveal presence of the apicomplexan “type-N” (cf. Gemmocystis cylindrus) and Chromera velia on the Great Barrier Reef, Australia. PLoS ONE 8, e76095 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  69. Wakeman, K. C. & Leander, B. S. Molecular phylogeny of Pacific Archigregarines (Apicomplexa), including descriptions of Veloxidium leptosynaptae n. gen., n. sp., from the sea cucumber Leptosynapta clarki (Echinodermata), and two new species of Selenidium. J. Eukaryot. Microbiol. 59, 232–245 (2012).

    CAS  PubMed  Google Scholar 

  70. Berger, S. A. & Stamatakis, A. Aligning short reads to reference alignments and trees. Bioinformatics 27, 2068–2075 (2011).

    CAS  PubMed  Google Scholar 

  71. Czech, L. & Stamatakis, A. Genesis. A toolkit for working with phylogenetic data. GitHubhttps://github.com/lczech/genesis (2016).

  72. Egge, E., Eikrem, W. & Edvardsen, B. Deep-branching novel lineages and high diversity of haptophytes in the Skagerrak (Norway) uncovered by 454 pyrosequencing. J. Eukaryot. Microbiol. 62, 121–140 (2015).

    CAS  PubMed  Google Scholar 

  73. Shalchian-Tabrizi, K., Reier-Røberg, K., Ree, D. K., Klaveness, D. & Bråte, J. Marine-freshwater colonizations of haptophytes inferred from phylogeny of environmental 18S rDNA sequences. J. Eukaryot. Microbiol. 58, 315–318 (2011).

    PubMed  Google Scholar 

  74. Katoh, K., Misawa, K., Kuma, K. & Miyata, T. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 30, 3059–3066 (2002).

    CAS  PubMed  PubMed Central  Google Scholar 

  75. Altschul, S. F. et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 25, 3389–3402 (1997).

    CAS  PubMed  PubMed Central  Google Scholar 

  76. Lara, E. & Belbahri, L. SSU rRNA reveals major trends in oomycete evolution. Fungal Divers. 49, 93–100 (2011).

    Google Scholar 

  77. Willis, A. & Bunge, J. Estimating diversity via frequency ratios. Biometrics 71, 1042–1049 (2015).

    PubMed  Google Scholar 

  78. Bunge, J. et al. Estimating population diversity with CatchAll. Bioinformatics 28, 1045–1047 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  79. Oksanen, J. et al. vegan: Community Ecology Package. R package version 2.0-7 (2013).

  80. R Core Team R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2014).

  81. Wickham, H. gplot2: Elegant Graphics for Data Analysis (Springer, 2009).

    Google Scholar 

  82. Lane, D. J. in Nucleic Acids Techniques in Bacterial Systematics (eds Stackebrandt, E. & Goodfellow, M. ) 115–147 (John Wiley & Sons, 1991).

    Google Scholar 

  83. Medlin, L., Elwood, H. J., Stickel, S. & Sogin, M. L. The characterization of enzymatically amplified eukaryotes 16S-like ribosomal RNA coding regions. Gene 71, 491–500 (1988).

    CAS  PubMed  Google Scholar 

  84. Zhu, F., Massana, R., Not, F., Marie, D. & Vaulot, D. Mapping of picoeucaryotes in marine ecosystems with quantitative PCR of the 18S rRNA gene. FEMS Microbiol. Ecol. 52, 79–92 (2005).

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank T. Stoeck, L. Katz, H. Kauserud, O. T. Lewis and D. Montagnes for helpful comments. Funding primarily came from: a Deutsche Forschungsgemeinschaft grant DU1319/1-1 to M.D.; the Klaus Tschira Foundation to L.C., A.S and A.K; and the French Government’s ‘Investissements d’Avenir’ program OCEANOMICS (ANR-11-BTBR-0008) to C.d.V., C.B. and S.R. Funding also came from: the Natural Environment Research Council grants NE/H000887/1 and NE/H009426/1 to D.B.; the National Science Foundation’s International Research Fellowship Program (OISE-1012703) and the Smithsonian Tropical Research Institute’s Fellowship program to J.M.; the Swiss National Science Foundation (310003A 143960); and the Swiss Federal Office for the Environment and Swiss National Science Foundation to E.L. and E.A.D.M. The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for funding this project by providing computing time on the GCS Supercomputer SuperMUC at the Leibniz Supercomputing Centre (www.lrz.de).

Author information

Authors and Affiliations

Authors

Contributions

F.M. and M.D. conceived the project. F.M., C.d.V., J.M., T.S., S.R. and M.D. collected the samples. Sequencing was carried out by F.M., T.S., I.T., S.R and M.D. Data analysis was done by F.M., D.B., L.C., A.S., E.L., D.S., J.B., S.S., I.T., C.B., A.K., E.E. and M.D. The first draft of the manuscript was written by F.M., C.d.V., D.B., L.C., A.S. and M.D., and all authors contributed to discussing the results and editing the manuscript.

Corresponding author

Correspondence to Micah Dunthorn.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Information

Supplementary Methods, Supplementary References, Supplementary Figures 1–16, Supplementary Tables 1–3. (PDF 3214 kb)

Supplementary Code 1

Main computer code and sampling information. (XML 692 kb)

Supplementary Code 2

Additional computer code for phylogenetic placements. (HTML 896 kb)

Supplementary Data 1

GenBank references used in eukaryotic reference tree. (TXT 2380 kb)

Supplementary Data 2

GenBank accession numbers and clade assignments for eukaryotic reference tree. (XLSX 23 kb)

Supplementary Data 3

GenBank references used in Alveolata reference tree. (TXT 441 kb)

Supplementary Data 4

GenBank accession numbers and clade assignments for Alveolata reference tree. (XLSX 15 kb)

Supplementary Data 5

Comparison of constrained and unconstrained phylogenetic placements on the eukaryotic reference tree. (XLSX 27 kb)

Supplementary Data 6

Comparison of constrained and unconstrained phylogenetic placements on the Alveolata reference tree. (XLSX 25 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mahé, F., de Vargas, C., Bass, D. et al. Parasites dominate hyperdiverse soil protist communities in Neotropical rainforests. Nat Ecol Evol 1, 0091 (2017). https://doi.org/10.1038/s41559-017-0091

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41559-017-0091

This article is cited by

Search

Quick links

Nature Briefing Microbiology

Sign up for the Nature Briefing: Microbiology newsletter — what matters in microbiology research, free to your inbox weekly.

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