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author Moitinho-Silva, Lucas
Nielsen, Shaun
Amir, Amnon
Gonzalez, Antonio
Ackermann, Gail L
Cerrano, Carlo
Astudillo-Garcia, Carmen
Easson, Cole
Sipkema, Detmer
Liu, Fang
Steinert, Georg
Kotoulas, Giorgos
McCormack, Grace P
Feng, Guofang
Bell, James J
Vicente, Jan
Björk, Johannes R
Montoya, Jose M
Olson, Julie B
Reveillaud, Julie
Steindler, Laura
Pineda, Mari-Carmen
Marra, Maria V
Ilan, Micha
Taylor, Michael W
Polymenakou, Paraskevi
Erwin, Patrick M
Schupp, Peter J
Simister, Rachel L
Knight, Rob
Thacker, Robert W
Costa, Rodrigo
Hill, Russell T
Lopez-Legentil, Susanna
Dailianis, Thanos
Ravasi, Timothy
Hentschel, Ute
Li, Zhiyong
Webster, Nicole S
Thomas, Torsten
author_facet Moitinho-Silva, Lucas
Nielsen, Shaun
Amir, Amnon
Gonzalez, Antonio
Ackermann, Gail L
Cerrano, Carlo
Astudillo-Garcia, Carmen
Easson, Cole
Sipkema, Detmer
Liu, Fang
Steinert, Georg
Kotoulas, Giorgos
McCormack, Grace P
Feng, Guofang
Bell, James J
Vicente, Jan
Björk, Johannes R
Montoya, Jose M
Olson, Julie B
Reveillaud, Julie
Steindler, Laura
Pineda, Mari-Carmen
Marra, Maria V
Ilan, Micha
Taylor, Michael W
Polymenakou, Paraskevi
Erwin, Patrick M
Schupp, Peter J
Simister, Rachel L
Knight, Rob
Thacker, Robert W
Costa, Rodrigo
Hill, Russell T
Lopez-Legentil, Susanna
Dailianis, Thanos
Ravasi, Timothy
Hentschel, Ute
Li, Zhiyong
Webster, Nicole S
Thomas, Torsten
author_sort Moitinho-Silva, Lucas
collection PubMed
description 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.
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spelling pubmed-56322912017-10-12 The sponge microbiome project Moitinho-Silva, Lucas Nielsen, Shaun Amir, Amnon Gonzalez, Antonio Ackermann, Gail L Cerrano, Carlo Astudillo-Garcia, Carmen Easson, Cole Sipkema, Detmer Liu, Fang Steinert, Georg Kotoulas, Giorgos McCormack, Grace P Feng, Guofang Bell, James J Vicente, Jan Björk, Johannes R Montoya, Jose M Olson, Julie B Reveillaud, Julie Steindler, Laura Pineda, Mari-Carmen Marra, Maria V Ilan, Micha Taylor, Michael W Polymenakou, Paraskevi Erwin, Patrick M Schupp, Peter J Simister, Rachel L Knight, Rob Thacker, Robert W Costa, Rodrigo Hill, Russell T Lopez-Legentil, Susanna Dailianis, Thanos Ravasi, Timothy Hentschel, Ute Li, Zhiyong Webster, Nicole S Thomas, Torsten Gigascience Data Note 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. Oxford University Press 2017-08-16 /pmc/articles/PMC5632291/ /pubmed/29020741 http://dx.doi.org/10.1093/gigascience/gix077 Text en © The Authors 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Data Note
Moitinho-Silva, Lucas
Nielsen, Shaun
Amir, Amnon
Gonzalez, Antonio
Ackermann, Gail L
Cerrano, Carlo
Astudillo-Garcia, Carmen
Easson, Cole
Sipkema, Detmer
Liu, Fang
Steinert, Georg
Kotoulas, Giorgos
McCormack, Grace P
Feng, Guofang
Bell, James J
Vicente, Jan
Björk, Johannes R
Montoya, Jose M
Olson, Julie B
Reveillaud, Julie
Steindler, Laura
Pineda, Mari-Carmen
Marra, Maria V
Ilan, Micha
Taylor, Michael W
Polymenakou, Paraskevi
Erwin, Patrick M
Schupp, Peter J
Simister, Rachel L
Knight, Rob
Thacker, Robert W
Costa, Rodrigo
Hill, Russell T
Lopez-Legentil, Susanna
Dailianis, Thanos
Ravasi, Timothy
Hentschel, Ute
Li, Zhiyong
Webster, Nicole S
Thomas, Torsten
The sponge microbiome project
title The sponge microbiome project
title_full The sponge microbiome project
title_fullStr The sponge microbiome project
title_full_unstemmed The sponge microbiome project
title_short The sponge microbiome project
title_sort sponge microbiome project
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632291/
https://www.ncbi.nlm.nih.gov/pubmed/29020741
http://dx.doi.org/10.1093/gigascience/gix077
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