The Bacterial and Fungal Microbiota of Saccharina latissima (Laminariales, Phaeophyceae)
The sugar kelp Saccharina latissima dominates many temperate coastal ecosystems, plays key ecological roles and presents important economic potential. However, its microbiota remains poorly investigated, although it could play an important role in algal fitness. In this study, we combined high throu...
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Veröffentlicht in: | Frontiers in Marine Science 2020-12, Vol.7 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The sugar kelp
Saccharina latissima
dominates many temperate coastal ecosystems, plays key ecological roles and presents important economic potential. However, its microbiota remains poorly investigated, although it could play an important role in algal fitness. In this study, we combined high throughput Illumina-based DNA sequencing and Fluorescence
In Situ
Hybridization to perform a culture-independent investigation of the
S. latissima
bacterial and fungal microbiota. Up to 600 bacterial and 100 fungal Amplicon Sequence Variants were identified per algal individual, revealing diverse bacterial and fungal communities associated to
S. latissima
. Overall, bacterial communities were dominated by Proteobacteria, Actinobacteria, and Bacteroidetes, in particular
Hyphomonadaceae
and
Cyclobacteriaceae
. Fungal communities were dominated by
Ascomycota
and
Basidiomycota
, in particular
Mycosphaerellaceae, Psathyrellaceae
, and
Bulleribasidiaceae
. Our results also revealed a variable distribution of
S. latissima
microbiota, as two adjacent tissue samples typically contained distinct fungal and bacterial assemblages, and CARD-FISH analysis detected microbial endosymbionts (with a few epibionts). Complementary analyses showed that despite achieving a good sequencing coverage for each tissue sample, the unexpected diversity and variability of ASVs made the definition of a core fungal and bacterial microbiota difficult, and highlights novel avenues to overcome the limitations of current surface-sterilization and metabarcoding protocols. |
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ISSN: | 2296-7745 2296-7745 |
DOI: | 10.3389/fmars.2020.587566 |