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The smallest size fractions of plankton, nano- and pico-plankton, have been highlighted due to they accomplish key functions in marine ecosystems. However, the knowledge about some of them is scarce because they are difficult or impossible to be detected and identified with non-DNA-based methodologies. Here we have evaluated five DNA extraction protocols (MT1–MT5) and seven bioinformatic pipelines (P1–P7) to find the best protocol for detecting most of the eukaryotic species of nano- and pico-plankton present in an environmental sample using Ion Torrent technology. The protocol MT3 was the most reproducible methodology, showing less variation among samples, good DNA quality and sufficient quantity to amplify and sequence the eukaryote species, offering the best results after sequencing. For bioinformatic analyses, P1 and P7 resulted in the highest percentage of detection for the difficult-to-detect species in mock communities. However, only P1 avoided the confusion with other closed species during the taxonomic assignment. The final protocols, MT3-P1 (free) and MT3-P7 (private), showed good and consistent results when they were applied to an environmental sample, being a valuable tool to study the eukaryotes present in environmental samples of nano- and pico-plankton, even for the genera that are difficult to be detected by other techniques.

Aim Meiofaunal communities that inhabit the marine benthos offer unique opportunities to simultaneously study the macroecology of numerous phyla that exhibit different life-history strategies. Here, we ask: (1) if the macroecology of meiobenthic communities is explained mainly by dispersal constraints or by environmental conditions; and (2) if levels of meiofaunal diversity surpass existing estimates based on morphological taxonomy. Location UK and mainland European coast. Methods Next-generation sequencing techniques ( NGS; Roche 454 FLX platform) using 18S nuclear small subunit ribosomal DNA ( rDNA) gene. Pyrosequences were analysed using A mplicon N oise followed by chimera removal using P erseus. Results Rarefaction curves revealed that sampling saturation was only reached at 15% of sites, highlighting that the bulk of meiofaunal diversity is yet to be discovered. Overall, 1353 OTUs were recovered and assigned to 23 different phyla. The majority of sampled sites had c. 60-70 unique operational taxonomic units ( OTUs) per site, indicating high levels of beta diversity. The environmental parameters that best explained community structure were seawater temperature, geographical distance and sediment size, but most of the variability ( R2 = 70%-80%) remains unexplained. Main conclusions High percentages of endemic OTUs suggest that meiobenthic community composition is partly niche-driven, as observed in larger organisms, but also shares macroecological features of microorganisms by showing high levels of cosmopolitanism (albeit on a much smaller scale). Meiobenthic communities exhibited patterns of isolation by distance as well as associations between niche, latitude and temperature, indicating that meiobenthic communities result from a combination of niche assembly and dispersal processes. Conversely, isolation-by-distance patterns were not identified in the featured protists, suggesting that animals and protists adhere to radically different macroecological processes, linked to life-history strategies. [ABSTRACT FROM AUTHOR]

Metabolomics represent the set of small organic molecules generally called metabolites, which are located within cells, tissues or organisms. This new "omic" technology, together with other similar technologies (genomics, transcriptomics and proteomics) is becoming a widely used tool in cancer research, aiming at the understanding of global biology systems in their physiologic or altered conditions. Cancer is among the most alarming human diseases and it causes a considerable number of deaths each year. Cancer research is one of the most important fields in life sciences. In fact, several scientific advances have been made in recent years, aiming to illuminate the metabolism of cancer cells, which is different from that of healthy cells, as suggested by Otto Warburg in the 1950s. Studies on sponges and algae revealed that these organisms are the main sources of the marine bioactive compounds involved in drug discovery for cancer treatment and prevention. In this review, we analyzed these two promising groups of marine organisms to focus on new metabolomics approaches for the study of metabolic changes in cancer cell lines treated with chemical extracts from sponges and algae, and for the classification of the chemical structures of bioactive compounds that may potentially prove useful for specific biotechnological applications.

The accurate assessment of community composition and ultimately species identification is of utmost importance in any ecological and evolutionary study. Advances in sequencing technologies have allowed the unraveling of levels of biodiversity never imagined before when applied to large-scale environmental DNA studies (also termed metabarcoding/metagenetics/metasystematics/environmental barcoding). Here, we describe a detailed protocol to assess eukaryotic biodiversity in marine sediments, identifying key steps that should not be neglected when preparing Next-Generation Sequencing (NGS) amplicon libraries: DNA extraction, multiple PCR amplification of DNA barcode markers with index/ tag-primers, and final Illumina MiSeq sequencing library preparation.