More than just hitchhikers: a survey of bacterial communities associated with diatoms originating from marine reptiles

Published: 19 April 2022| Version 1 | DOI: 10.17632/4r6568xcpw.1
Contributor:
Klara Filek

Description

These data relate to the manuscript Filek et al. 2022 "More than just hitchhikers: a survey of bacterial communities associated with diatoms originating from marine reptiles" available at BioRxiv 2022.04.19.488760; doi: https://doi.org/10.1101/2022.04.19.488760 Abstract: Diatoms and bacteria are known for being the first colonizers of submerged surfaces including the skin of marine reptiles. Sea turtle carapace and skin harbour diverse prokaryotic and eukaryotic microbial taxa, including several epizoic diatoms. However, the importance of diatom-bacteria associations is hardly investigated in biofilms associated with animal hosts. This study provides a detailed inventory of diatoms, bacteria, and diatom-associated bacteria originating from several loggerhead sea turtles using a combination of metabarcoding and culturing approaches. Carapace and skin samples rbcL and 16S rRNA amplicon sequencing showed a high diversity of diatoms and bacteria, respectively. Cultures of putative epizoic and non-epizoic diatom strains contained from 18 to 101 bacterial amplicon sequence variants (ASVs) and their bacterial assemblages strongly reflected those of their source host. Diatom strains allowed for enrichment and isolation of rare-in-source bacterial families such as Marinobacteraceae, Alteromonadaceae, and Alcanivoracaceae. When accounting for phylogenetic relationships between bacterial ASVs, we observed related diatom genera might retain related microbial taxa in culture, regardless of the source environment. These data provide deeper insights into several levels of sea turtle epizoic diatom and bacterial communities, reveal the potential of epizoic biofilms as a source of novel microbes, and possibly important diatom-bacteria associations.

Files

Steps to reproduce

All instructions for tools used here (QIIME 2, IQ-TREE, R, etc.) are given alongside the data in corresponding scripts (see README.md files for more). Step by step processing is also described at [https://github.com/kl-fil/Filek_et_al._2022-diatom_microbiota]

Institutions

Sveuciliste u Zagrebu Prirodoslovno-Matematicki Fakultet

Categories

Microbiology, Algology, Microbiota

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