Inter-comparison of marine microbiome sampling protocols

Author:

Pascoal Francisco12ORCID,Tomasino Maria Paola1,Piredda Roberta3,Quero Grazia Marina4,Torgo Luís5,Poulain Julie6,Galand Pierre E7ORCID,Fuhrman Jed A8ORCID,Mitchell Alex9,Tinta Tinkara10,Turk Dermastia Timotej10,Fernandez-Guerra Antonio11ORCID,Vezzi Alessandro12ORCID,Logares Ramiro13ORCID,Malfatti Francesca14,Endo Hisashi15ORCID,Dąbrowska Anna Maria16ORCID,De Pascale Fabio12ORCID,Sánchez Pablo13ORCID,Henry Nicolas1718ORCID,Fosso Bruno19,Wilson Bryan20,Toshchakov Stephan21ORCID,Ferrant Gregory Kevin22,Grigorov Ivo23,Vieira Fabio Rocha Jimenez24,Costa Rodrigo2526ORCID,Pesant Stéphane9ORCID,Magalhães Catarina12ORCID

Affiliation:

1. Interdisciplinary Centre of Marine and Environmental Research, University of Porto , Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos s/n, 4450-208 Porto, Portugal

2. Departamento de Biologia, Faculdade de Ciências, Universidade do Porto , rua do Campo Alegre s/n, 4169-007 Porto, Portugal

3. Integrative Marine Ecology Department, Stazione Zoologica Anton Dohrn , Naples, Italy

4. Institute for Biological Resources and Marine Biotechnologies, National Research Council (IRBIM-CNR) , Largo Fiera della Pesca 2, 60125 Ancona, Italy

5. Faculty of Computer Science, Dalhousie University , Halifax, NS, Canada

6. Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay , 2 Rue Gaston Crémieux, 91057 Evry, France

7. Sorbonne Université, CNRS, Laboratoire d’Écogéochimie des Environnements Benthiques (LECOB), Observatoire Océanologique de Banyuls , Banyuls-sur-Mer, France

8. Marine & Environmental Biology, Department of Biological Sciences, University of Southern California (USC) , Los Angeles, CA, USA

9. EMBL’s European Bioinformatics Institute (EMBL-EBI) , Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK

10. National Institute of Biology, Marine Biology Station Piran , Piran, Slovenia

11. Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen , Copenhagen, Denmark

12. Department of Biology, University of Padua , Via U. Bassi 58/B, 35131 Padua, Italy

13. Institute of Marine Sciences (ICM), CSIC. Passeig Marítim de la Barceloneta , 37-49, ES08003 Barcelona, Spain

14. Department of Life Sciences, University of Trieste , Trieste, Italy

15. Bioinformatics Center, Institute for Chemical Research, Kyoto University , Gokasho, Uji, Japan

16. Department of Marine Ecology, Institute of Oceanology Polish Academy of Sciences , Sopot, Poland

17. Sorbonne Université, CNRS, Station Biologique de Roscoff, AD2M ECOMAP, UMR 7144 , Roscoff, France

18. CNRS, FR2424, ABiMS, Station Biologique de Roscoff, Sorbonne Université , Roscoff, France

19. Department of Biosciences, Biotechnologies and Environment, University of Bari , 70126 Bari, Italy

20. Department of Biology, John Krebs Field Station, University of Oxford , Wytham OX2 8QJ, UK

21. Kurchatov Center for Genome Research , Moscow, Russia

22. Rannsóknir og nýsköpun/Research & Innovation, Matís , Reykjavík, Iceland

23. Technical University of Denmark, National Institute of Aquatic Resources , Kgs. Lyngby, Denmark

24. Départment de Biologie, École Normale Supérieure , Paris, France

25. Department of Bioengineering, Instituto Superior Técnico, University of Lisbon , Av. Rovisco Pais, 1049-001 Lisbon, Portugal

26. Institute for Bioengineering and Biosciences (iBB) and i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, University of Lisbon , Av. Rovisco Pais, 1049-001 Lisbon, Portugal

Abstract

Abstract Research on marine microbial communities is growing, but studies are hard to compare because of variation in seawater sampling protocols. To help researchers in the inter-comparison of studies that use different seawater sampling methodologies, as well as to help them design future sampling campaigns, we developed the EuroMarine Open Science Exploration initiative (EMOSE). Within the EMOSE framework, we sampled thousands of liters of seawater from a single station in the NW Mediterranean Sea (Service d’Observation du Laboratoire Arago [SOLA], Banyuls-sur-Mer), during one single day. The resulting dataset includes multiple seawater processing approaches, encompassing different material-type kinds of filters (cartridge membrane and flat membrane), three different size fractionations (>0.22 µm, 0.22–3 µm, 3–20 µm and >20 µm), and a number of different seawater volumes ranging from 1 L up to 1000 L. We show that the volume of seawater that is filtered does not have a significant effect on prokaryotic and protist diversity, independently of the sequencing strategy. However, there was a clear difference in alpha and beta diversity between size fractions and between these and “whole water” (with no pre-fractionation). Overall, we recommend care when merging data from datasets that use filters of different pore size, but we consider that the type of filter and volume should not act as confounding variables for the tested sequencing strategies. To the best of our knowledge, this is the first time a publicly available dataset effectively allows for the clarification of the impact of marine microbiome methodological options across a wide range of protocols, including large-scale variations in sampled volume.

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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