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Sample Processing Impacts the Viability and Cultivability of the Sponge Microbiome
Ana I S Esteves1, Nimra Amer1, Mary Nguyen1
1Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, The University of New South Wales Kensington, NSW, Australia.
Cultivating sponge bacteria is challenging, as most microbes remain uncultured. This study reveals that bacterial viability and sample processing significantly impact cultivation success, highlighting the need for optimized methods to accurately represent sponge microbial communities.
Area of Science:
- Marine microbiology
- Sponge holobiont research
- Culturomics
Background:
- Sponges harbor diverse microbial communities crucial for ecological and biotechnological applications.
- Current cultivation methods struggle to isolate the majority of sponge-associated bacteria.
Purpose of the Study:
- To identify cultivation bottlenecks for sponge bacteria.
- To assess the impact of sample processing and cultivation conditions on bacterial recovery.
- To understand the relationship between viable and cultivable bacterial communities in sponges.
Main Methods:
- Combined high-throughput 16S rRNA gene sequencing with diverse cultivation media and incubation conditions.
- Isolated 325 sponge bacteria from Cymbastela concentrica and Scopalina sp.
- Used propidium monoazide (PMA) selective DNA modification to determine bacterial viability.
Main Results:
- Cultivable bacterial communities were host-specific, with distinct isolates obtained from different media.
- Approximately 97% of isolates were detected in the original sponge, representing a variable proportion of viable bacteria.
- Cultivation success primarily reflected the abundance of viable bacteria, not the total microbial community.
Conclusions:
- Bacterial cell viability and sample processing methods are critical factors limiting sponge bacterial cultivation.
- Cultivation yields are influenced by the viability of bacteria in the inoculum.
- Further research is needed to optimize sample processing for accurate representation of in situ sponge microbial communities.
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