ArticleScientific reports2019
Uncovering the hidden marine sponge microbiome by applying a multi-primer approach.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Induced Dysbiosis Modifies Physiological Responses to Warming in a Temperate Sponge.Environmental microbiology · 2026Article
- The Microbial Ecology of Antarctic Sponges.Microbial ecology · 2025Review
- Exploring the secrets of marine microorganisms: Unveiling secondary metabolites through metagenomics.Microbial biotechnology · 2024Review
- High compositional and functional similarity in the microbiome of deep-sea sponges.The ISME journal · 2024Article
- Marine Sponge Endosymbionts: Structural and Functional Specificity of the Microbiome withinMicrobiology spectrum · 2022Article
- Recent Advances of Marine Sponge-Associated Microorganisms as a Source of Commercially Viable Natural Products.Marine biotechnology (New York, N.Y.) · 2022Review
- Factors affecting the isolation and diversity of marine sponge-associated bacteria.Applied microbiology and biotechnology · 2022Article
- Sodium molybdate does not inhibit sulfate-reducing bacteria but increases shell growth in the Pacific oyster Magallana gigas.PloS one · 2022Article
- Antimicrobial Activities of Marine Sponge-Associated Bacteria.Microorganisms · 2021Article
- Diversity of a bacterial community associated with Cliona lobata Hancock and Gelliodes pumila (Lendenfeld, 1887) sponges on the South-East coast of India.Scientific reports · 2020Article
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Authors and funding
3 authors.
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Abstract
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.
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