author_facet Yang, Qi
Franco, Christopher M. M.
Zhang, Wei
Yang, Qi
Franco, Christopher M. M.
Zhang, Wei
author Yang, Qi
Franco, Christopher M. M.
Zhang, Wei
spellingShingle Yang, Qi
Franco, Christopher M. M.
Zhang, Wei
Scientific Reports
Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
Multidisciplinary
author_sort yang, qi
spelling Yang, Qi Franco, Christopher M. M. Zhang, Wei 2045-2322 Springer Science and Business Media LLC Multidisciplinary http://dx.doi.org/10.1038/s41598-019-42694-w <jats:title>Abstract</jats:title><jats:p>Marine sponges (phylum Porifera) are hosts to microorganisms that make up to 40–60% of the mesohyl volume. The challenge is to characterise this microbial diversity more comprehensively. To accomplish this, a new method was for the first time proposed to obtain sequence coverage of all the variable regions of the 16S rRNA gene to analyze the amplicon-based microbiomes of four representative sponge species belonging to different orders. The five primer sets targeting nine variable regions of the 16S rRNA gene revealed a significant increase in microbiome coverage of 29.5% of phylum level OTUs and 35.5% class level OTUs compared to the community revealed by the commonly used V4 region-specific primer set alone. Among the resulting OTUs, 52.6% and 61.3% were unaffiliated, including candidate OTUs, at the phylum and class levels, respectively, which demonstrated a substantially superior performance in uncovering taxonomic ‘blind spots’. Overall, a more complete sponge microbiome profile was achieved by this multi-primer approach, given the significant improvement of microbial taxonomic coverage and the enhanced capacity to uncover novel microbial taxa. This multi-primer approach represents a fundamental and practical change from the conventional single primer set amplicon-based microbiome approach, and can be broadly applicable to other microbiome studies.</jats:p> Uncovering the hidden marine sponge microbiome by applying a multi-primer approach Scientific Reports
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title Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_unstemmed Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_full Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_fullStr Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_full_unstemmed Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_short Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_sort uncovering the hidden marine sponge microbiome by applying a multi-primer approach
topic Multidisciplinary
url http://dx.doi.org/10.1038/s41598-019-42694-w
publishDate 2019
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description <jats:title>Abstract</jats:title><jats:p>Marine sponges (phylum Porifera) are hosts to microorganisms that make up to 40–60% of the mesohyl volume. The challenge is to characterise this microbial diversity more comprehensively. To accomplish this, a new method was for the first time proposed to obtain sequence coverage of all the variable regions of the 16S rRNA gene to analyze the amplicon-based microbiomes of four representative sponge species belonging to different orders. The five primer sets targeting nine variable regions of the 16S rRNA gene revealed a significant increase in microbiome coverage of 29.5% of phylum level OTUs and 35.5% class level OTUs compared to the community revealed by the commonly used V4 region-specific primer set alone. Among the resulting OTUs, 52.6% and 61.3% were unaffiliated, including candidate OTUs, at the phylum and class levels, respectively, which demonstrated a substantially superior performance in uncovering taxonomic ‘blind spots’. Overall, a more complete sponge microbiome profile was achieved by this multi-primer approach, given the significant improvement of microbial taxonomic coverage and the enhanced capacity to uncover novel microbial taxa. This multi-primer approach represents a fundamental and practical change from the conventional single primer set amplicon-based microbiome approach, and can be broadly applicable to other microbiome studies.</jats:p>
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description <jats:title>Abstract</jats:title><jats:p>Marine sponges (phylum Porifera) are hosts to microorganisms that make up to 40–60% of the mesohyl volume. The challenge is to characterise this microbial diversity more comprehensively. To accomplish this, a new method was for the first time proposed to obtain sequence coverage of all the variable regions of the 16S rRNA gene to analyze the amplicon-based microbiomes of four representative sponge species belonging to different orders. The five primer sets targeting nine variable regions of the 16S rRNA gene revealed a significant increase in microbiome coverage of 29.5% of phylum level OTUs and 35.5% class level OTUs compared to the community revealed by the commonly used V4 region-specific primer set alone. Among the resulting OTUs, 52.6% and 61.3% were unaffiliated, including candidate OTUs, at the phylum and class levels, respectively, which demonstrated a substantially superior performance in uncovering taxonomic ‘blind spots’. Overall, a more complete sponge microbiome profile was achieved by this multi-primer approach, given the significant improvement of microbial taxonomic coverage and the enhanced capacity to uncover novel microbial taxa. This multi-primer approach represents a fundamental and practical change from the conventional single primer set amplicon-based microbiome approach, and can be broadly applicable to other microbiome studies.</jats:p>
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spelling Yang, Qi Franco, Christopher M. M. Zhang, Wei 2045-2322 Springer Science and Business Media LLC Multidisciplinary http://dx.doi.org/10.1038/s41598-019-42694-w <jats:title>Abstract</jats:title><jats:p>Marine sponges (phylum Porifera) are hosts to microorganisms that make up to 40–60% of the mesohyl volume. The challenge is to characterise this microbial diversity more comprehensively. To accomplish this, a new method was for the first time proposed to obtain sequence coverage of all the variable regions of the 16S rRNA gene to analyze the amplicon-based microbiomes of four representative sponge species belonging to different orders. The five primer sets targeting nine variable regions of the 16S rRNA gene revealed a significant increase in microbiome coverage of 29.5% of phylum level OTUs and 35.5% class level OTUs compared to the community revealed by the commonly used V4 region-specific primer set alone. Among the resulting OTUs, 52.6% and 61.3% were unaffiliated, including candidate OTUs, at the phylum and class levels, respectively, which demonstrated a substantially superior performance in uncovering taxonomic ‘blind spots’. Overall, a more complete sponge microbiome profile was achieved by this multi-primer approach, given the significant improvement of microbial taxonomic coverage and the enhanced capacity to uncover novel microbial taxa. This multi-primer approach represents a fundamental and practical change from the conventional single primer set amplicon-based microbiome approach, and can be broadly applicable to other microbiome studies.</jats:p> Uncovering the hidden marine sponge microbiome by applying a multi-primer approach Scientific Reports
spellingShingle Yang, Qi, Franco, Christopher M. M., Zhang, Wei, Scientific Reports, Uncovering the hidden marine sponge microbiome by applying a multi-primer approach, Multidisciplinary
title Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_full Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_fullStr Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_full_unstemmed Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_short Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_sort uncovering the hidden marine sponge microbiome by applying a multi-primer approach
title_unstemmed Uncovering the hidden marine sponge microbiome by applying a multi-primer approach
topic Multidisciplinary
url http://dx.doi.org/10.1038/s41598-019-42694-w