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1.
Sci Rep ; 9(1): 11692, 2019 08 12.
Article in English | MEDLINE | ID: mdl-31406214

ABSTRACT

Benthic foraminifera are known to play an important role in marine carbon and nitrogen cycles. Here, we report an enrichment of sulphur cycle -associated bacteria inside intertidal benthic foraminifera (Ammonia sp. (T6), Haynesina sp. (S16) and Elphidium sp. (S5)), using a metabarcoding approach targeting the 16S rRNA and aprA -genes. The most abundant intracellular bacterial groups included the genus Sulfurovum and the order Desulfobacterales. The bacterial 16S OTUs are likely to originate from the sediment bacterial communities, as the taxa found inside the foraminifera were also present in the sediment. The fact that 16S rRNA and aprA -gene derived intracellular bacterial OTUs were species-specific and significantly different from the ambient sediment community implies that bacterivory is an unlikely scenario, as benthic foraminifera are known to digest bacteria only randomly. Furthermore, these foraminiferal species are known to prefer other food sources than bacteria. The detection of sulphur-cycle related bacterial genes in this study suggests a putative role for these bacteria in the metabolism of the foraminiferal host. Future investigation into environmental conditions under which transcription of S-cycle genes are activated would enable assessment of their role and the potential foraminiferal/endobiont contribution to the sulphur-cycle.


Subject(s)
Deltaproteobacteria/genetics , Epsilonproteobacteria/genetics , Foraminifera/microbiology , Gammaproteobacteria/genetics , Sulfur/metabolism , Symbiosis/physiology , Bacteroidaceae/classification , Bacteroidaceae/genetics , Bacteroidaceae/isolation & purification , Campylobacter/classification , Campylobacter/genetics , Campylobacter/isolation & purification , DNA Barcoding, Taxonomic/methods , DNA, Bacterial/genetics , Deltaproteobacteria/classification , Deltaproteobacteria/isolation & purification , Epsilonproteobacteria/classification , Epsilonproteobacteria/isolation & purification , Foraminifera/physiology , Gammaproteobacteria/classification , Gammaproteobacteria/isolation & purification , Geologic Sediments/chemistry , Geologic Sediments/microbiology , North Sea , Phylogeny , Principal Component Analysis , RNA, Ribosomal, 16S/genetics , Seawater/chemistry , Seawater/microbiology , Serine Endopeptidases/genetics , Sulfur/chemistry
2.
FEMS Microbiol Ecol ; 95(1)2019 01 01.
Article in English | MEDLINE | ID: mdl-30452623

ABSTRACT

Metabarcoding is a method that combines high-throughput DNA sequencing and DNA-based identification. Previously, this method has been successfully used to target spatial variation of eukaryote communities in marine sediments, however, the temporal changes in these communities remain understudied. Here, we follow the temporal changes of the eukaryote communities in Baltic Sea surface sediments collected from two coastal localities during three seasons of two consecutive years. Our study reveals that the structure of the sediment eukaryotic ecosystem was primarily driven by annual and seasonal changes in prevailing environmental conditions, whereas spatial variation was a less significant factor in explaining the variance in eukaryotic communities over time. Therefore, our data suggests that shifts in regional climate regime or large-scale changes in the environment are the overdriving factors in shaping the coastal eukaryotic sediment ecosystems rather than small-scale changes in local environmental conditions or heterogeneity in ecosystem structure. More studies targeting temporal changes are needed to further understand the long-term trends in ecosystem stability and response to climate change. Furthermore, this work contributes to the recent efforts in developing metabarcoding applications for environmental biomonitoring, proving a comprehensive option for traditional monitoring approaches.


Subject(s)
DNA Barcoding, Taxonomic/methods , Environmental Monitoring/methods , Eukaryota/isolation & purification , Geologic Sediments/parasitology , Climate Change , Ecosystem , Eukaryota/classification , Eukaryota/genetics , Eukaryota/metabolism , Geologic Sediments/chemistry , High-Throughput Nucleotide Sequencing , Seasons
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