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Prospecting Microbial Strains for Bioremediation and Probiotics Development for Metaorganism Research and Preservation

Prospecting Microbial Strains for Bioremediation and Probiotics Development for Metaorganism Research and Preservation

Published on: October 31, 2019

The sponge microbiome project.

Lucas Moitinho-Silva¹, Shaun Nielsen¹, Amnon Amir²

¹Centre for Marine Bio-Innovation and School of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, 2052, Australia.

|October 13, 2017

Summary

This summary is machine-generated.

This study presents a standardized, large-scale dataset of marine sponge microbiomes, enabling global comparisons of microbial diversity and structure. The findings facilitate research into host specificity and environmental influences on these vital marine partnerships.

Keywords:

16S rRNA gene archaea bacteria marine sponges microbial diversity microbiome symbiosis

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Area of Science:

Marine Microbiology
Symbiotic Microbial Ecology
Phylogenetic Diversity

Background:

Marine sponges host complex microbial communities, but comparative studies are limited by varied methodologies.
Existing 16S rRNA gene sequencing studies lack standardization, hindering large-scale analysis of sponge microbiomes.
Understanding sponge-microbe interactions is crucial for marine ecosystem health.

Purpose of the Study:

To create an extensive, standardized 16S rRNA gene sequence dataset for marine sponge microbiomes.
To facilitate comparative analyses of sponge microbial diversity across spatial, temporal, and environmental gradients.
To provide a resource for investigating host specificity, convergent evolution, and environmental drivers of sponge-associated prokaryotes.

Main Methods:

Collected 3569 marine sponge specimens, plus seawater and sediment samples globally.
Standardized DNA extraction, 16S rRNA gene V4 region amplification, and sequencing.
Processed 1.1 billion sequences using QIIME, Mothur, and Deblur for OTU clustering and taxonomic classification.

Main Results:

Generated a comprehensive dataset incorporating 268+ sponge species and environmental samples.
Clustering yielded 39,543 (QIIME), 518,246 (Mothur), and 83,908 (Deblur) microbial taxa.
Provided abundance tables, representative sequences, taxonomic classifications, and metadata for public use.

Conclusions:

This standardized dataset is a valuable resource for marine microbiome research.
Enables robust investigation of factors shaping sponge-associated microbial communities.
Supports exploration of the rare biosphere and evolutionary patterns in host-microbe associations.