Authors

Lucas Moitinho-Silva, University of New South Wales - Sydney, Australia
Shaun Nielsen, University of New South Wales - Sydney, Australia
Amnon Amir, University of California - San Diego
Antonio Gonzalez, University of California - San Diego
Gail Ackermann, University of California - San Diego
Carlo Cerrano, Polytechnic University of Marche - Ancona, italy
Carmen Astudillo-Garcia, University of Auckland - New Zealand
Cole Easson, Nova Southeastern UniversityFollow
Detmer Sipkema, Wageningen University - The Netherlands
Fang Liu, Shanghai Jiao Tong University - China
Georg Steinert, Wageningen University - The Netherlands
Giorgos Kotoulas, Hellenic Centre for Marine Research - Heraklion, Greece
Grace McCormack, National University of Ireland Galway
Guofang Feng, Shanghai Jiao Tong University - China
James J. Bell, Victoria University of Wellington - New Zealand
Jan Vicente, Hawaii Institute of Marine Biology
Johannes R. Bjork, University of Notre Dame
Jose M. Montoya, Centre National de la Recherche Scientifique - Moulis, France; Paul Sabatier University - Moulis, France
Julie B. Olson, University of Alabama - Tuscaloosa
Julie Reveillaud, INRA - Montpellier, France
Laura Steindler, University of Haifa - Israel
Mari-Carmen Pineda, Australian Institute of Marine Science - Townsville
Maria V. Marra, National University of Ireland Galway
Micha Ilan, Tel Aviv University - Israel
Michael W. Taylor, University of Auckland - New Zealand
Paraskevi Polymenakou, Hellenic Centre for Marine Research - Heraklion, Greece
Patrick M. Erwin, University of North Carolina - Wilmington
Peter J. Schupp, University of Oldenburg - Germany
Rachel L. Simister, University of British Columbia - Canada
Rob Knight, University of California - San Diego
Robert W. Thacker, State University of New York - Stony Brook
Rodrigo Costa, Universidade de Lisboa - Portugal
Russell T. Hill, University of Maryland Center for Environmental Science
Susanna Lopez-Legentil, University of North Carolina - Wilmington
Thanos Dailianis, Hellenic Centre for Marine Research - Heraklion, Greece
Timothy Ravasi, King Abdullah University of Science and Technology - Saudi Arabia
Ute Hentschel, GEOMAR Helmholtz Centre for Ocean Research - Kiel, Germany; Christian-Albrechts-University of Kiel - Germany
Zhiyong Li, Shanghai Jiao Tong University - China
Nicole S. Webster, Australian Institute of Marine Science - Townsville; University of Queensland - St. Lucia
Torsten Thomas, University of New South Wales - Sydney, Australia

Document Type

Article

Publication Date

10-1-2017

Publication Title

GigaScience

Keywords

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

ISSN

2047-217X

Volume

6

Issue/No.

10

First Page

1

Last Page

7

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 novoclustering 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.

Comments

©The Author 2017. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Additional Comments

Australian Research Council Future Fellowship #s: FT140100197, FT120100480

DOI

doi.org/10.1093/gigascience/gix077

Peer Reviewed

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