Title of the dataset:
Supplementary material: Sulfidogenic bacteria enriched from deep anoxic Black Sea sediment and the description of Desulfopila canfieldii sp. nov.

Creators:
Daan M. van Vliet (Laboratory of Microbiology, WUR)
Nicole J. Bale (Department of Marine Microbiology and Biogeochemistry, Royal Netherlands Institute for Sea Research (NIOZ) and Utrecht University)

Contributors:
Sebastiaan Versteeg (Laboratory of Microbiology, WUR)
Robert den Breems (Laboratory of Microbiology, WUR)
Michel Koenen (Department of Marine Microbiology and Biogeochemistry, Royal Netherlands Institute for Sea Research (NIOZ) and Utrecht University)
Laura Villanueva (Department of Marine Microbiology and Biogeochemistry, Royal Netherlands Institute for Sea Research (NIOZ) and Utrecht University)
Alfons J.M. Stams (Laboratory of Microbiology, WUR; Centre of Biological Engineering, University of Minho, Braga, Portugal)
Irene Sánchez-Andrea (Laboratory of Microbiology, WUR)

Related publication:
The chapter "Sulfidogenic bacteria enriched from deep anoxic Black Sea sediment and the description of Desulfopila canfieldii sp. nov." of the PhD thesis by Daan M. van Vliet (2021)

Description:
We present a cultivation-based study to investigate the diversity and identity of sulfidogens in sediment samples from the Black Sea at 2,100 m depth. This resulted in the isolation of a novel sulfate-reducing bacterium of the Desulfopila genus, strain LS5B(T), with lactate as original substrate. Strain LS5B(T) was characterized phenotypically and phylogenetically.

Funding:
SIAM gravitation grant 024.002.002

Keywords:
sulfate-reducing bacteria
anaerobic
phylogeny
genomics

Temporal coverage:
2018-2020

This dataset contains the following files:
-Table S2. functional annotation of genes.xlsx
-Table S3. 16S rRNA gene identity matrix.xlsx
-Table S4. AAI matrix.xlsx
-Table S5. CFAs and IPLs.xlsx
-Desulfopila canfieldii LS5B(T) draft genome annotation.gff
-Desulfopila canfieldii LS5B(T) draft genome sequence.fna
-Desulfopila canfieldii LS5B(T) predicted protein sequences.faa

Explanation of variables:
values in Tables S3, S4 and S5 are percentages.

Methods, materials and software:
Materials and methods are described in the aforementioned thesis chapter.

Licence:
This dataset is published under the CC BY (Attribution) license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.

Access:
Under embargo until 1st of January 2022.