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:

Surface properties of SAR11 bacteria facilitate grazing avoidance

An Author Correction to this article was published on 20 October 2017

This article has been updated

Abstract

Oceanic ecosystems are dominated by minute microorganisms that play a major role in food webs and biogeochemical cycles1. Many microorganisms thrive in the dilute environment due to their capacity to locate, attach to, and use patches of nutrients and organic matter2,3. We propose that some free-living planktonic bacteria have traded their ability to stick to nutrient-rich organic particles for a non-stick cell surface that helps them evade predation by mucous filter feeders. We used a combination of in situ sampling techniques and next-generation sequencing to study the biological filtration of microorganisms at the phylotype level. Our data indicate that some marine bacteria, most notably the highly abundant Pelagibacter ubique and most other members of the SAR 11 clade of the Alphaproteobacteria, can evade filtration by slipping through the mucous nets of both pelagic and benthic tunicates. While 0.3 µm polystyrene beads and other similarly-sized bacteria were efficiently filtered, SAR11 members were not captured. Reversed-phase chromatography revealed that most SAR11 bacteria have a much less hydrophobic cell surface than that of other planktonic bacteria. Our data call for a reconsideration of the role of surface properties in biological filtration and predator-prey interactions in aquatic systems.

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

Fig. 1: Differential retention of marine microorganisms by the ascidian Microcosmus exasperatus measured in situ (10 m depth) at the Eastern Mediterranean Sea (n = 15, Michmoret, Central Israel, September 2014).
Fig. 2: Differential clearance rate of marine microorganisms by the appendicularian Oikopleura albicans measured by in situ incubations in the NW Mediterranean Sea during April 2014, n = 15.
Fig. 3: Hydrophobicity of cultures bacteria measured by HIC for four autotrophs, two heterotrophic copiotrophs and five heterotrophic oligotrophic bacterial cultures.
Fig. 4: Hydrophobicity of naturally occurring marine bacteria measured by HIC in surface seawater samples collected at ~10 m depth.

Similar content being viewed by others

Change history

  • 20 October 2017

    In the version of this Letter originally published, the authors incorrectly stated that primers 28F-519R were reported in ref. 54 to underestimate the abundance of SAR11 in the ocean. This statement has now been amended in all versions of the Letter.

References

  1. Worden, A. Z. et al. Rethinking the marine carbon cycle: factoring in the multifarious lifestyles of microorganisms. Science 347, 1257594 (2015).

    Article  Google Scholar 

  2. Azam, F. & Malfatti, F. Microbial structuring of marine ecosystems. Nat. Rev. Microbiol. 5, 782–791 (2007).

    Article  CAS  PubMed  Google Scholar 

  3. Kirchman, D. L. Microbial Ecology of the Oceans. (WileyLiss, New York, 2008).

    Book  Google Scholar 

  4. Teeling, H. et al. Substrate-controlled succession of marine bacterioplankton populations induced by a phytoplankton bloom. Science 336, 608–611 (2012).

    Article  CAS  PubMed  Google Scholar 

  5. Morris, R. M. et al. SAR11 clade dominates ocean surface bacterioplankton communities. Nature 420, 806–810 (2002).

    Article  CAS  PubMed  Google Scholar 

  6. Eiler, A., Hayakawa, D. H., Church, M. J., Karl, D. M. & Rappé, M. S. Dynamics of the SAR11 bacterioplankton lineage in relation to environmental conditions in the oligotrophic North Pacific subtropical gyre. Environ. Microbiol. 11, 2291–2300 (2009).

    Article  CAS  PubMed  Google Scholar 

  7. Giovannoni, S. J. SAR11 Bacteria: the most abundant plankton in the oceans. Ann. Rev. Mar. Sci. 9, 1–25 (2016).

    Google Scholar 

  8. Rappé, M. S., Connon, S. A., Vergin, K. L. & Giovannoni, S. J. Cultivation of the ubiquitous SAR11 marine bacterioplankton clade. Nature 418, 630–633 (2002).

    Article  PubMed  Google Scholar 

  9. Zhao, Y. et al. Abundant SAR11 viruses in the ocean. Nature 494, 357–360 (2013).

    Article  CAS  PubMed  Google Scholar 

  10. Pernthaler, J. Predation on prokaryotes in the water column and its ecological implications. Nat. Rev. Microbiol. 3, 537–546 (2005).

    Article  CAS  PubMed  Google Scholar 

  11. Suzuki, M. T. Effect of protistan bacterivory on coastal bacterioplankton diversity. Aquat. Microb. Ecol. 20, 261–272 (1999).

    Article  Google Scholar 

  12. Matz, C. & Kjelleberg, S. Off the hook – how bacteria survive protozoan grazing. Trends Microbiol. 13, 302–307 (2005).

    Article  CAS  PubMed  Google Scholar 

  13. Petersen, J. K. Ascidian suspension feeding. J. Exp. Mar. Bio. Ecol. 342, 127–137 (2007).

    Article  Google Scholar 

  14. Morganti, T. M., Yahel, G., Ribes, M. & Coma, R. ‘VacuSIP’, an improved InEx method for in situ measurement of particulate and dissolved compounds processed by active suspension feeders. J. Vis. Exp. 114, e54221 (2016).

  15. Mary, I. et al. SAR11 dominance among metabolically active low nucleic acid bacterioplankton in surface waters along an Atlantic meridional transect. Aquat. Microb. Ecol. 45, 107–113 (2006).

    Article  Google Scholar 

  16. Chesson, J. The estimation and analysis of preference and its relatioship to foraging models. Ecology 64, 1297–1304 (1983).

    Article  Google Scholar 

  17. Yahel, G., Marie, D., Beninger, P., Eckstein, S. & Genin, A. In situ evidence for pre-capture qualitative selection in the tropical bivalve Lithophaga simplex. Aquat. Biol. 6, 235–246 (2009).

    Article  Google Scholar 

  18. Yahel, G., Eerkes-Medrano, D. & Leys, S. Size independent selective filtration of ultraplankton by hexactinellid glass sponges. Aquat. Microb. Ecol. 45, 181–194 (2006).

    Article  Google Scholar 

  19. De Vargas, C. et al. Eukaryotic plankton diversity in the sunlit ocean. Science 348, 1–12 (2015).

    Article  Google Scholar 

  20. Scheinberg, R. D., Landry, M. R. & Calbet, A. Grazing of two common appendicularians on the natural prey assemblage of a tropical coastal ecosystem. Mar. Ecol. Prog. Ser. 294, 201–212 (2005).

    Article  Google Scholar 

  21. Alldredge, A. L. The impact of appendicularian grazing on natural food concentrations in situ. Limnol. Oceanogr. 26, 247–257 (1981).

    Article  Google Scholar 

  22. D’Alelio, D., Libralato, S., Wyatt, T. & Ribera d’Alcalà, M. Ecological-network models link diversity, structure and function in the plankton food-web. Sci. Rep. 6, 21806 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  23. Flood, P. R. Architecture of, and water circulation and flow rate in, the house of the planktonic tunicate Oikopleura labradoriensis. Mar. Biol. 111, 95–111 (1991).

    Article  Google Scholar 

  24. Robison, B. H., Reisenbichler, K. R. & Sherlock, R. E. Giant larvacean houses: rapid carbon transport to the deep sea floor. Science 308, 1609–1611 (2005).

    Google Scholar 

  25. Shimeta, J. & Jumars, P. A. Physical mechanisms and rates of particle capture by suspension feeders. Oceanogr. Mar. Biol. Annu. Rev. 29, 191–257 (1991).

    Google Scholar 

  26. Guieb, R. A., Jumars, P. A. & Self, R. F. L. Adhesive-based selection by a tentacle-feeding polychaete for particle size, shape and bacterial coating in silt and sand. J. Mar. Res. 62, 260–281 (2004).

    Article  Google Scholar 

  27. Busscher, H. J. & Weerkamp, A. H. Specific and non-specific interactions in bacterial adhesion to solid substrata. FEMS Microbiol. Lett. 46, 165–173 (1987).

    Article  CAS  Google Scholar 

  28. Monger, B. C., Landry, M. R. & Brown, S. L. Feeding selection of heterotrophic marine nanoflagellates based on the surface hydrophobicity of their picoplankton prey. Limnol. Oceanogr. 44, 1917–1927 (1999).

    Article  CAS  Google Scholar 

  29. Tarao, M., Jezbera, J. & Hahn, M. W. Involvement of cell surface structures in size-independent grazing resistance of freshwater Actinobacteria. Appl. Environ. Microbiol. 75, 4720–4726 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Yawata, Y. et al. Competition-dispersal tradeoff ecologically differentiates recently speciated marine bacterioplankton populations. Proc. Natl Acad. Sci. USA 111, 5622–5627 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Lai, S. K., Wang, Y. Y., Wirtz, D. & Hanes, J. Micro- and macrorheology of mucus. Adv. Drug Deliv. Rev. 61, 86–100 (2010).

    Article  Google Scholar 

  32. Riisgård, H. U. On measurement of filtration rates in bivalves — the stony road to reliable data: review and interpretation. Mar. Ecol. Prog. Ser. 211, 275–291 (2001).

    Article  Google Scholar 

  33. Marie, D., Brussaard, C., Thyrhaug, R., Bratbak, G. & Vaulot, D. Enumeration of marine viruses in culture and natural samples by flow cytometry. Appl. Environ. Microbiol. 65, 45–52 (1999).

    CAS  PubMed  PubMed Central  Google Scholar 

  34. Simon, N., Barlow, G. R., Marie, D., Partensky, F. & Vaulot, D. Characterization of oceanic photosynthetic picoeukaryotes by flow cytometery. J. Phycol. 30, 922–935 (1994).

    Article  Google Scholar 

  35. Cunningham, A. & Buonnacorsi, G. A. Narrow-angle forward light scattering from individual algal cells: Implications for size and shape discrimination in flow cytometry. J. Plankton Res. 14, 223–234 (1992).

    Article  Google Scholar 

  36. Robertson, B. & Button, D. Characterizing aquatic bacteria according to population, cell size, and apparent. DNA content by flow cytometry. Cytometry 10, 70–76 (1989).

    Article  CAS  PubMed  Google Scholar 

  37. Pruesse, E., Peplies, J. & Glöckner, F. O. SINA: accurate high-throughput multiple sequence alignment of ribosomal RNA genes. Bioinformatics 28, 1823–1829 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Quast, C. et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 41, 590–596 (2013).

    Article  Google Scholar 

  39. Li, W. & Godzik, A. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 22, 1658–1659 (2006).

    Article  CAS  PubMed  Google Scholar 

  40. Camacho, C. et al. BLAST plus: architecture and applications. BMC Bioinformatics 10, 421 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  41. Suzuki, M. T., Béjà, O., Taylor, L. T. & Delong, E. F. Phylogenetic analysis of ribosomal RNA operons from uncultivated coastal marine bacterioplankton. Environ. Microbiol. 3, 323–331 (2001).

    Article  CAS  PubMed  Google Scholar 

  42. Morris, R. M. et al. Temporal and spatial response of bacterioplankton lineages to annual convective overturn at the Bermuda Atlantic Time-series Study site. Limnol. Oceanogr. 50, 1687–1696 (2005).

    Article  CAS  Google Scholar 

  43. Carlson, C. A. et al. Seasonal dynamics of SAR11 populations in the euphotic and mesopelagic zones of the northwestern Sargasso Sea. ISME J. 3, 283–295 (2009).

    Article  CAS  PubMed  Google Scholar 

  44. Brown, M. V. et al. Global biogeography of SAR11 marine bacteria. Mol. Syst. Biol. 8, 59 (2012).

    Article  Google Scholar 

  45. Vergin, K. L. et al. High-resolution SAR11 ecotype dynamics at the Bermuda Atlantic Time-series Study site by phylogenetic placement of pyrosequences. ISME J. 7, 1332–1332 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Ondov, B. D., Bergman, N. H. & Phillippy, A. M. Interactive metagenomic visualization in a web browser. BMC Bioinformatics 12, 385 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  47. Pernthaler, A., Pernthaler, J. & Amann, R. Fluorescence In Situ Hybridization and Catalyzed Reporter Deposition for the Identification of Marine Bacteria. Appl. Environ. Microbiol. 68, 3094–3101 (2002).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Pernthaler, A., Pernthaler, J. & Amann, R. in Molecular Microbial Ecology Manual (eds Kowalchuk, G. A., de Bruijn, F., Head, I. M., Van der Zijpp, A. J. & J. D. van Elsa) 711–725 (Springer, Netherlands, 2004).

  49. Amann, R. I., Krumholz, L. & Stahl, D. A. Fluorescent-oligonucleotide probing of whole cells for determinative, phylogenetic, and environmental studies in microbiology. J. Bacteriol. 172, 762–770 (1990).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Amann, R. I., Ludwig, W. & Schleifer, K. H. Phylogenetic identification and in situ detection of individual microbial cells without cultivation. Microbiol. Rev. 59, 143–69 (1995).

    CAS  PubMed  PubMed Central  Google Scholar 

  51. Stingl, U., Tripp, H. J. & Giovannoni, S. J. Improvements of high-throughput culturing yielded novel SAR11 strains and other abundant marine bacteria from the Oregon coast and the Bermuda Atlantic Time-series Study site. ISME J. 1, 361–371 (2007).

    Article  CAS  PubMed  Google Scholar 

  52. Carini, P., Steindler, L., Beszteri, S. & Giovannoni, S. J. Nutrient requirements for growth of the extreme oligotroph ‘Candidatus Pelagibacter ubique’ HTCC1062 on a defined medium. ISME J. 7, 592–602 (2013).

    Article  CAS  PubMed  Google Scholar 

  53. Guillard, R. & Hargraves, P. Stichochrysis immobilis is a diatom, not a chrysophyte. Phycologia 32, 234–236 (1993).

    Article  Google Scholar 

  54. Parada, A. E., Needham, D. M. & Fuhrman, J. A. Every base matters: Assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples. Environ. Microbiol. 18, 1403–1414 (2016).

    Article  CAS  PubMed  Google Scholar 

  55. Toribio, A. L. et al. European nucleotide archive in 2016. Nucleic Acids Res. 45, D32–D36 (2017).

    Article  PubMed  Google Scholar 

  56. Yilmaz, P. et al. Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications. Nat. Biotechnol. 29, 415–420 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Diepenbroek, M. et al. in: Informatik 2014 – Big Data Komplexität meistern (eds Plödereder, E., Grunske, L., Schneider, E. & Ull, D.) 1711–1724 (Köllen Verlag, Bonn, 2014).

Download references

Acknowledgements

We thank S. Giovannoni for providing strains HTCC1062, HTCC2506 and HTCC2143, and L. Gomez-Consarnau for providing strains MED134 and DLF12 and D. Roth-Rosenberg and D. Sher lab for providing strain PRO9312. M. Landry for useful discussion and help with HIC application. M. Gilboa and staff of the School of Marine Science, Ruppin for technical assistance. BSF grant 2012089 to K.S, Y.T. and G.Y. ISF grant 1280/13 to G.Y. ECOGELY ANR-10-PDOC-005-01 to F.L. and ANR RHOMEO 11-BSV7-0021 to M.T.S. We thank the Bio2Mar, and Cytometry-Imaging platforms of the OOB and EMBRC-zooplankton of OOV for access to instrumentation. Support provided to A.D.P by the Mediterranean Sea Research Center of Israel and IUI PhD award.

Author information

Authors and Affiliations

Authors

Contributions

A.D.-P. was involved in study design, performed the in situ and lab experiments, fine-tuned protocols, compiled and analyzed FCM, FISH, HIC and sequencing data and prepared the manuscript. G.Y. designed the study, and participated in field experiments, data analysis and manuscript preparation. A.G. was involved in planning the study. Y.T. and L.S. were involved in study design. L.S. and M.H. cultured oligotrophic and copiotrophic bacteria utilized for column experiments. K.R.C., K.S. and F.L. participated in planning some of the experiments, field and lab sampling. N.J.W. and M.T.S. were involved in the FISH experiments and data analysis. M.R. designed and performed bioinformatics analyses F.O.G. designed bioinformatics analyses Y.J. performed beads experiments. All authors discussed the results and commented on the manuscript during its preparation.

Corresponding author

Correspondence to Ayelet Dadon-Pilosof.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Additional information

Correspondence and requests for materials should be addressed to A.D.-P.

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

A correction to this article is available online at https://doi.org/10.1038/s41564-017-0064-8.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dadon-Pilosof, A., Conley, K.R., Jacobi, Y. et al. Surface properties of SAR11 bacteria facilitate grazing avoidance. Nat Microbiol 2, 1608–1615 (2017). https://doi.org/10.1038/s41564-017-0030-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41564-017-0030-5

This article is cited by

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