Deep-sea ecosystems represent the largest biome of the global biosphere, but knowledge of their biodiversity is still scant. The Mediterranean basin has been proposed as a hot spot of terrestrial and coastal marine biodiversity but has been supposed to be impoverished of deep-sea species richness. We summarized all available information on benthic biodiversity (Prokaryotes, Foraminifera, Meiofauna, Macrofauna, and Megafauna) in different deep-sea ecosystems of the Mediterranean Sea (200 to more than 4,000 m depth), including open slopes, deep basins, canyons, cold seeps, seamounts, deep-water corals and deep-hypersaline anoxic basins and analyzed overall longitudinal and bathymetric patterns. We show that in contrast to what was expected from the sharp decrease in organic carbon fluxes and reduced faunal abundance, the deep-sea biodiversity of both the eastern and the western basins of the Mediterranean Sea is similarly high. All of the biodiversity components, except Bacteria and Archaea, displayed a decreasing pattern with increasing water depth, but to a different extent for each component. Unlike patterns observed for faunal abundance, highest negative values of the slopes of the biodiversity patterns were observed for Meiofauna, followed by Macrofauna and Megafauna. Comparison of the biodiversity associated with open slopes, deep basins, canyons, and deep-water corals showed that the deep basins were the least diverse. Rarefaction curves allowed us to estimate the expected number of species for each benthic component in different bathymetric ranges. A large fraction of exclusive species was associated with each specific habitat or ecosystem. Thus, each deep-sea ecosystem contributes significantly to overall biodiversity. From theoretical extrapolations we estimate that the overall deep-sea Mediterranean biodiversity (excluding prokaryotes) reaches approximately 2805 species of which about 66% is still undiscovered. Among the biotic components investigated (Prokaryotes excluded), most of the unknown species are within the phylum Nematoda, followed by Foraminifera, but an important fraction of macrofaunal and megafaunal species also remains unknown. Data reported here provide new insights into the patterns of biodiversity in the deep-sea Mediterranean and new clues for future investigations aimed at identifying the factors controlling and threatening deep-sea biodiversity.
It is now universally recognized that only a portion of aquatic bacteria is actively growing, but quantitative information on the fraction of living versus dormant or dead bacteria in marine sediments is completely lacking. We compared different protocols for the determination of the dead, dormant, and active bacterial fractions in two different marine sediments and at different depths into the sediment core. An experiment of nutrient enrichment to stimulate a response of the dormant bacterial fraction determined a significant increase of nucleoid-containing cells. After nutrient enrichment, a large fraction of dormant bacteria (6 to 11% of the total bacterial number) was "reactivated." Bacterial turnover rates estimated ranged from 0.01 to 0.1 day ؊1 but were 50 to 80 times higher when only the fraction of active bacteria was considered (on average 3.2 day ؊1 ). Our results suggest that the fraction of active bacteria in marine sediments is controlled by nutrient supply and availability and that their turnover rates are at least 1 order of magnitude higher than previously reported.
Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits.
We investigated bacterial diversity in different aquatic environments (including marine and lagoon sediments, coastal seawater, and groundwater), and we compared two fingerprinting techniques (terminal restriction fragment length polymorphism [T-RFLP] and automated ribosomal intergenic spacer analysis [ARISA]) which are currently utilized for estimating richness and community composition. Bacterial diversity ranged from 27 to 99 phylotypes (on average, 56) using the T-RFLP approach and from 62 to 101 genotypes (on average, 81) when the same samples were analyzed using ARISA. The total diversity encountered in all matrices analyzed was 144 phylotypes for T-RFLP and 200 genotypes for ARISA. Although the two techniques provided similar results in the analysis of community structure, bacterial richness and diversity estimates were significantly higher using ARISA. These findings suggest that ARISA is more effective than T-RFLP in detecting the presence of bacterial taxa accounting for <5% of total amplified product. ARISA enabled also distinction among aquatic bacterial isolates of Pseudomonas spp. which were indistinguishable using T-RFLP analysis. Overall, the results of this study show that ARISA is more accurate than T-RFLP analysis on the 16S rRNA gene for estimating the biodiversity of aquatic bacterial assemblages.
In order to evaluate whether different DNA extraction procedures can affect estimates of benthic bacterial diversity, based on 16S rRNA gene terminal restriction fragment length polymorphism (T-RFLP) fingerprinting technique, we compared two in situ lysis procedures (a SDS-based protocol and a commercial kit for DNA recovery) and one cell-extraction protocol on a variety of marine sediments. Despite the two in situ lysis procedures resulted in significantly different DNA yields (highest with the SDS in situ lysis), estimates of bacterial diversity provided a not significantly different ribotype richness, as well as similar values of the Shannon-Wiener (H') and Margalef (d) indices of biodiversity and of evenness (Pielou index, J). Conversely, the cell-extraction procedure for DNA extraction resulted always in a significantly lower ribotype richness and diversity. The analysis of similarities (anosim) among the T-RFLP electropherograms allowed concluding that ribotypes composition did not change significantly using different protocols. However, the analysis of beta-diversity (turnover diversity) revealed that a large number of ribotypes was observed exclusively with one of the three protocols utilized. When unshared ribotypes from in situ lysis and cell extraction were pooled together, total ribotype richness resulted much higher (up to 80%). Our results indicate that estimates of ribotype diversity based on a single protocol of DNA extraction can significantly underestimate the total number of bacterial ribotypes present in the benthic domain. We recommend that future studies will not only integrate different DNA extraction procedures, but also will explore the possibility of integrating two or more different genetic markers in order to increase our ability to detect the actual bacterial diversity in environmental samples.
Molecular approaches that target the total DNA pool recovered from permanently anoxic marine ecosystems have revealed an extraordinary diversity of prokaryotes and unicellular eukaryotes. However, the presence of gene sequences contained within the extracellular DNA pool is still largely neglected. We have investigated the preservation, origin and genetic imprint of extracellular DNA recovered from permanently anoxic deep-sea sediments of the Black Sea. Despite high DNase activities, huge amounts of total extracellular DNA were found in both the surface and subsurface sediment layers, suggesting reduced availability of the extracellular DNA pool to nuclease degradation. The reduced degradation of the total extracellular DNA was confirmed by its low decay rate and the high accumulation in the deeper sediment layers. The copy numbers of 16S and 18S rDNA contained within the extracellular DNA pool in both the surface and subsurface sediment layers was very high, indicating that permanently anoxic sediments of the deep Black Sea are hot spots of preserved extracellular gene sequences. The extracellular DNA recovered from these sediment layers also contained highly diversified 18S rDNA sequences. These were not only representative of the major protistan lineages, but also of new very divergent lineages, branching as independent clades at the base of the tree. Our findings indicate that the extracellular DNA pool is a major archive of present/past eukaryotic gene sequences, and they highlight the importance of integrating molecular cell-oriented approaches with molecular analyses of the extracellular DNA pool, for a better assessment of microbial diversity and temporal changes in marine benthic ecosystems.
Viral activity exerts a particularly important role in the dark ocean across the global tropical and subtropical oceans.
Prokaryotes in coastal sediments are fundamental players in the ecosystem functioning and regulate processes relevant in the global biogeochemical cycles. Nevertheless, knowledge on benthic microbial diversity patterns across spatial scales, or as function to anthropogenic influence, is still limited. We investigated the microbial diversity in two of the most chemically polluted sites along the coast of Italy. One site is the Po River Prodelta (Northern Adriatic Sea), which receives contaminant discharge from one of the largest rivers in Europe. The other site, the Mar Piccolo of Taranto (Ionian Sea), is a chronically polluted area due to steel production plants, oil refineries, and intense maritime traffic. We collected sediments from 30 stations along gradients of contamination, and studied prokaryotic diversity using Illumina sequencing of amplicons of a 16S rDNA gene fragment. The main sediment variables and the concentration of eleven metals, polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs) were measured. Chemical analyses confirmed the high contamination in both sites, with concentrations of PCBs particularly high and often exceeding the sediment guidelines. The analysis of more than 3 millions 16S rDNA sequences showed that richness decreased with higher contamination levels. Multivariate analyses showed that contaminants significantly shaped community composition. Assemblages differed significantly between the two sites, but showed wide within-site variations related with spatial gradients in the chemical contamination, and the presence of a core set of OTUs shared by the two geographically distant sites. A larger importance of PCBdegrading taxa was observed in the Mar Piccolo, suggesting their potential selection in this historically polluted site. Our results indicate that sediment contamination by multiple contaminants significantly alter benthic prokaryotic diversity in coastal areas, and suggests considering the potential contribution of the resident microbes to contaminant bioremediation actions.
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