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Unravelling microalgal-bacterial interactions in aquatic ecosystems through 16S rRNA gene-based co-occurrence networks

Pushpakumara, B L D Uthpala ; Tandon, Kshitij ; Willis, Anusuya ; Verbruggen, Heroen

Scientific reports, 2023-02, Vol.13 (1), p.2743-2743, Article 2743 [Periódico revisado por pares]

England: Nature Publishing Group

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  • Título:
    Unravelling microalgal-bacterial interactions in aquatic ecosystems through 16S rRNA gene-based co-occurrence networks
  • Autor: Pushpakumara, B L D Uthpala ; Tandon, Kshitij ; Willis, Anusuya ; Verbruggen, Heroen
  • Assuntos: Algae ; Aquatic ecosystems ; Aquatic microorganisms ; Bacteria ; Bacteria - genetics ; Biogeochemical cycles ; Genes, rRNA ; Microalgae - genetics ; Microbiomes ; Microbiota - genetics ; Planctomycetes ; RNA, Ribosomal, 16S - genetics ; rRNA 16S
  • É parte de: Scientific reports, 2023-02, Vol.13 (1), p.2743-2743, Article 2743
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
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  • Descrição: Interactions between microalgae and bacteria can directly influence the global biogeochemical cycles but the majority of such interactions remain unknown. 16S rRNA gene-based co-occurrence networks have potential to help identify microalgal-bacterial interactions. Here, we used data from 10 Earth microbiome projects to identify potential microalgal-bacterial associations in aquatic ecosystems. A high degree of clustering was observed in microalgal-bacterial modules, indicating densely connected neighbourhoods. Proteobacteria and Bacteroidetes predominantly co-occurred with microalgae and represented hubs of most modules. Our results also indicated that species-specificity may be a global characteristic of microalgal associated microbiomes. Several previously known associations were recovered from our network modules, validating that biologically meaningful results can be inferred using this approach. A range of previously unknown associations were recognised such as co-occurrences of Bacillariophyta with uncultured Planctomycetes OM190 and Deltaproteobacteria order NB1-j. Planctomycetes and Verrucomicrobia were identified as key associates of microalgae due to their frequent co-occurrences with several microalgal taxa. Despite no clear taxonomic pattern, bacterial associates appeared functionally similar across different environments. To summarise, we demonstrated the potential of 16S rRNA gene-based co-occurrence networks as a hypothesis-generating framework to guide more focused research on microalgal-bacterial associations.
  • Editor: England: Nature Publishing Group
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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