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The sponge microbiome project
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | 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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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. |
format | Online Article Text |
id | pubmed-5632291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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