The sponge microbiome project

Lucas Moitinho-Silva, Shaun Nielsen, Amnon Amir, Antonio Gonzalez, Gail L. Ackermann, Carlo Cerrano, Carmen Astudillo-Garcia, Cole Easson, Detmer Sipkema, Fang Liu, Georg Steinert, Giorgos Kotoulas, Grace P. McCormack, Guofang Feng, James J. Bell, Jan Vicente, Johannes R. Björk, Jose M. Montoya, Julie B. Olson, Julie ReveillaudLaura Steindler, Mari Carmen Pineda, Maria V. Marra, Micha Ilan, Michael W. Taylor, Paraskevi Polymenakou, Patrick M. Erwin, Peter J. Schupp, Rachel L. Simister, Rob Knight, Robert W. Thacker, Rodrigo Costa, Russell T. Hill, Susanna Lopez-Legentil, Thanos Dailianis, Timothy Ravasi, Ute Hentschel, Zhiyong Li, Nicole S. Webster, Torsten Thomas*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

35 Citations (Scopus)

Abstract

Marine sponges (phylum Porifera) are a diverse, phylogenetically deep-branching clade known for forming intimate partnerships with complex communities of microorganisms. To date, 16S rRNA gene sequencing studies have largely utilised different extraction and amplification methodologies to target the microbial communities of a limited number of sponge species, severely limiting comparative analyses of sponge microbial diversity and structure. Here, we provide an extensive and standardised dataset that will facilitate sponge microbiome comparisons across large spatial, temporal, and environmental scales. Samples from marine sponges (n = 3569 specimens), seawater (n = 370), marine sediments (n = 65) and other environments (n = 29) were collected from different locations across the globe. This dataset incorporates at least 268 different sponge species, including several yet unidentified taxa. The V4 region of the 16S rRNA gene was amplified and sequenced from extracted DNA using standardised procedures. Raw sequences (total of 1.1 billion sequences) were processed and clustered with (i) a standard protocol using QIIME closed-reference picking resulting in 39 543 operational taxonomic units (OTU) at 97% sequence identity, (ii) a de novo clustering using Mothur resulting in 518 246 OTUs, and (iii) a new high-resolution Deblur protocol resulting in 83 908 unique bacterial sequences. Abundance tables, representative sequences, taxonomic classifications, and metadata are provided. This dataset represents a comprehensive resource of sponge-associated microbial communities based on 16S rRNA gene sequences that can be used to address overarching hypotheses regarding host-associated prokaryotes, including host specificity, convergent evolution, environmental drivers of microbiome structure, and the sponge-associated rare biosphere.
Original languageEnglish
Article numbergix077
JournalGigaScience
Volume6
Issue number10
DOIs
Publication statusPublished - 2017

Keywords

  • 16S rRNA gene
  • Archaea
  • Bacteria
  • Marine sponges
  • Microbial diversity
  • Microbiome
  • Symbiosis

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    Moitinho-Silva, L., Nielsen, S., Amir, A., Gonzalez, A., Ackermann, G. L., Cerrano, C., ... Thomas, T. (2017). The sponge microbiome project. GigaScience, 6(10), [gix077]. https://doi.org/10.1093/gigascience/gix077