Diversity, activity and abundance of benthic microbes in the southeastern Mediterranean Sea: A baseline for monitoring
Rubin-Blum, M.; Sisma-Ventura, G.; Yudkovski, Y.; Belkin, N.; Kanari, M.; Herut, B.; Rahav, E.
Show abstract
Microbes are key players in marine sediments, yet they are not accessed routinely by monitoring programs. Here, we investigate the spatial and vertical trends in the abundance, activity and diversity of benthic archaea, bacteria and fungi of the southeastern Mediterranean Sea (SEMS), based on [~]150 samples collected by the National Monitoring Program in 2018-2020 in coastal, as well as deep-sea transects across the Israeli exclusive economic zone, using vertical profiles of short sediment cores (0-1, 1-2, 4-5, 9-10 and 19-20 cm below surface). Microbial abundance was usually low (0.01 x108 to 0.21x108 cells gr-1 sediment), while heterotrophic productivity was the highest in the nearshore stations (12{+/-}4 ng C gr-1 sediment h-1), as opposed to 0.5{+/-}0.9 ng C gr-1 sediment h-1 at the offshore sites. Using amplicon sequencing of marker genes, we identified the changes in the diversity of microbes along environmental gradients, in the four dimensions (geographic location, seabed depth, distance from the sediment surface and time). We show high taxonomic diversity of bacteria and archaea (Shannons H 5.0-6.9) and lesser diversity of fungi (Shannons H 0.2-4.8). We use DESeq2 analyses to highlight the role of ammonia-oxidizing Nitrososphaeria in the aerated sediments of the continental slope and deep bathyal plain stations and organotrophic lineages in coastal, shelf, slope, and abyssal plain sediments. Based on taxonomic diversity, we infer the metabolic potential of these communities. Analyses of fungi diversity and guilds suggest the prevalence of the saprotrophic and pathotrophic microfungi Ascomycota (70{+/-}23%) and Basidiomycota (16{+/-}18%) in the SEMS sediments. We provide a comprehensive baseline of benthic microbial populations in the SEMS and pledge for the use of microbial indices in biomonitoring of the marine environment.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Particle-associated and free-living bacterial communities in an oligotrophic sea are affected by different environmental and anthropogenic factors 97%
- Extremely thermophilic endospores germinate and metabolise organic carbon in sediments heated to above 80°C 97%
- Seasonal cycles in a seaweed holobiont: A multiyear time series reveals repetitive microbial shifts and core taxa 96%
Similar papers in this journal
- Glacial runoff promotes deep burial of sulfur cycling-associated microorganisms in marine sediments 98%
- Nitrogen cycling activities during decreased stratification in the coastal oxygen minimum zone off Namibia 98%
- Spatial distribution of Arctic bacterioplankton abundance is linked to distinct water masses and summertime phytoplankton bloom dynamics (Fram Strait, 79°N) 97%
Similar papers in this journal
- A ubiquitous and diverse methanogenic community drives microbial methane cycling in eutrophic coastal sediments 97%
- Seasonal dynamics of the microbial methane filter in the water column of a eutrophic coastal basin 96%
- Sea foams are ephemeral hotspots for distinctive bacterial communities contrasting sea-surface microlayer and underlying surface water 96%
Similar papers in this journal
- Particle-associated and free-living microbial assemblages are distinct in a permanently redox-stratified freshwater lake 96%
- Patterns of siderophore production and utilization at Station ALOHA from the surface to mesopelagic waters 96%
- Phago-mixotrophy of small eukaryotic phytoplankton might alleviate iron limitation in HNLC Southern Ocean 96%
Similar papers in this journal
- Linking prokaryotic genome size variation to metabolic potential and environment 97%
- Helarchaeota and Co-occurring Sulfate-Reducing Bacteria in Subseafloor Sediments from the Costa Rica Margin 96%
- Improved taxonomic annotation of Archaea communities using LotuS2, the Genome Taxonomy Database and RNAseq data 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.