European Marine Biological Resource Centre

Marine ecosystems are vital for life on Earth. Global change is progressing rapidly, and geo-hazards, such as earthquakes, volcanic eruptions and tsunamis, cause large losses of life and have massive worldwide socio-economic impacts. Enhancing our marine environmental monitoring and prediction capabilities will increase our ability to respond adequately to major challenges and efficiently operate early-warning systems. Research Infrastructures (RIs) are large-scale facilities encompassing instruments, resources, data and services used by the scientific community to conduct high-level research in their respective fields. The development and integration of marine environmental RIs as European Research Infrastructure Consortia (ERICs) is the response of the European Commission (EC) to global marine challenges through research, technological development and innovation. These infrastructures (EMSO ERIC, Euro-Argo ERIC, ICOS-ERIC Marine, LifeWatch ERIC and EMBRC-ERIC) include specialized vessels, fixed-point monitoring systems, Lagrangian floating buoys, test facilities, genomics observatories, bio-sensing and Virtual Research Environments (VREs), among others.

Marine ecosystems, ranging from coastal seas and wetlands to the open ocean, accommodate a wealth of biological diversity from small microorganisms to large mammals. This biodiversity and its associated ecosystem function occurs across complex spatial and temporal scales and is not yet fully understood. Given the wide range of external pressures on the marine environment, this knowledge is crucial for enabling effective conservation measures and defining the limits of sustainable use. The development and application of omics-based approaches to biodiversity research has helped overcome hurdles, such as allowing the previously hidden community of microbial life to be identified, thereby enabling a holistic view of an entire ecosystem’s biodiversity and functioning. The potential of omics-based approaches for marine ecosystems observation is enormous and their added value to ecosystem monitoring, management, and conservation is widely acknowledged. Despite these encouraging prospects, most omics-based studies are short-termed and typically cover only small spatial scales which therefore fail to include the full spatio-temporal complexity and dynamics of the system. To date, few attempts have been made to establish standardised, coordinated, broad scaled, and long-term omics observation networks. Here we outline the creation of an omics-based marine observation network at the European scale, the European Marine Omics Biodiversity Observation Network (EMO BON). We illustrate how linking multiple existing individual observation efforts increases the observational power in large-scale assessments of status and change in biodiversity in the oceans. Such large-scale observation efforts have the added value of cross-border cooperation, are characterised by shared costs through economies of scale, and produce structured, comparable data. The key components required to compile reference environmental datasets and how these should be linked are major challenges that we address.

The ocean regulates the exchange, storage of carbon dioxide, plays a key role in global control of Earth climate and life, absorbs most of the heat excess from greenhouse gas emissions and provides a remarkable number of resources for the human being. Most of the geo-hazards occur in oceanic areas. Thus, high-quality systematic observations are necessary tools for improving our understanding, and subsequent assimilation to provide early warning systems. A holistic scientific approach for the understanding of the ocean’s interrelated processes requires coordinated and complementary monitoring and observation programmes. Research Infrastructures (RIs) are large-scale facilities that provide resources and services for the scientific communities to conduct high-level research and foster innovation. RIs benefit from strong governance and multi-annual funding from their member states with operational life spans in decades. RIs promote knowledge, outreach and education to public, private, and policy stakeholders, and they play a key role in enabling and developing research in all scientific domains and currently represent a growing share of coordinated investment in research, and also in providing essential observations to operational services such as Copernicus. They are strategically important for Europe to lead a global movement towards a data-driven, interconnected, open digital twin that brings together different disciplines, clean technologies, public and private sectors and a broad scientific/technological community, as well as education and training. In Europe several marine RIs have been established, which are maintained by national and European Union (EU) resources. The aims of these infrastructures are aligned with the key priorities of the UN Decade of Ocean Science for Sustainable Development; and with the new European Research Area (ERA) Policy Agenda annexed to the Council conclusions on the ERA governance 1 , which set out 20 concrete actions for 2022-2024 to contribute to the priority areas defined in the EU Pact for R&I 2 . The purpose of this paper is to demonstrate that the combined expertise and assets of Europe’s marine RIs can form a comprehensive and holistic framework for long-term, sustainable integrated marine observation. Through this integration process the marine RIs can become better and better a significant pillar of the European Ocean Observing System (EOOS). Such a framework must be built as part of interfaces of interaction and promote not only scientific excellence but also innovation at all levels.

Science benefits from rapid open data sharing, but current guidelines for data reuse were established two decades ago, when databases were several million times smaller than they are today. These guidelines are largely unfamiliar to the scientific community, and, owing to the rapid increase in biological data generated in the past decade, they are also outdated. As a result, there is a lack of community standards suited to the current landscape and inconsistent implementation of data sharing policies across institutions. Here we discuss current sequence data sharing policies and their benefits and drawbacks, and present a roadmap to establish guidelines for equitable sequence data reuse, developed in consultation with a data consortium of 167 microbiome scientists. We propose the use of a Data Reuse Information (DRI) tag for public sequence data, which will be associated with at least one Open Researcher and Contributor ID (ORCID) account. The machine-readable DRI tag indicates that the data creators prefer to be contacted before data reuse, and simultaneously provides data consumers with a mechanism to get in touch with the data creators. The DRI aims to facilitate and foster collaborations, and serve as a guideline that can be expanded to other data types.

Omic BON is a thematic Biodiversity Observation Network under the Group on Earth Observations Biodiversity Observation Network (GEO BON), focused on coordinating the observation of biomolecules in organisms and the environment. Our founding partners include representatives from national, regional, and global observing systems; standards organizations; and data and sample management infrastructures. By coordinating observing strategies, methods, and data flows, Omic BON will facilitate the co-creation of a global omics meta-observatory to generate actionable knowledge. Here, we present key elements of Omic BON's founding charter and first activities.

A pattern of increasing species richness from the poles to the equator is frequently observed in many animal taxa. Ecological limits, determined by the abiotic conditions and biotic interactions within an environment, are one of the major factors influencing the geographical distribution of species diversity. Energy availability is often considered a crucial limiting factor, with temperature and productivity serving as empirical measures. However, these measures may not fully explain the observed species richness, particularly in marine ecosystems. Here, through a global comparative approach and standardised methodologies, such as Autonomous Reef Monitoring Structures (ARMS) and DNA metabarcoding, we show that the seasonality of primary production explains sessile animal richness comparatively or better than surface temperature or primary productivity alone. A Hierarchical Generalised Additive Model (HGAM) is validated, after a model selection procedure, and the prediction error is compared, following a cross-validation approach, with HGAMs including environmental variables commonly used to explain animal richness. Moreover, the linear effect of production magnitude on species richness becomes apparent only when considered jointly with seasonality, and, by identifying world coastal areas characterized by extreme values of both, we postulate that this effect may result in a positive relationship in environments with lower seasonality. The environmental drivers of species diversity at the global level are difficult to define. This paper, using standardised methodologies, shows that the seasonality of primary production explains marine pioneer metazoan richness comparatively or better than other measures like sea surface temperature.

Molecular methods such as DNA/eDNA metabarcoding have emerged as useful tools to document the biodiversity of complex communities over large spatio-temporal scales. We established an international Marine Biodiversity Observation Network (ARMS-MBON) combining standardised sampling using autonomous reef monitoring structures (ARMS) with metabarcoding for genetic monitoring of marine hard-bottom benthic communities. Here, we present the data of our first sampling campaign comprising 56 ARMS units deployed in 2018-2019 and retrieved in 2018-2020 across 15 observatories along the coasts of Europe and adjacent regions. We describe the open-access data set (image, genetic and metadata) and explore the genetic data to show its potential for marine biodiversity monitoring and ecological research. Our analysis shows that ARMS recovered more than 60 eukaryotic phyla capturing diversity of up to ~5500 amplicon sequence variants and ~1800 operational taxonomic units, and up to ~250 and ~50 species per observatory using the cytochrome c oxidase subunit I (COI) and 18S rRNA marker genes, respectively. Further, ARMS detected threatened, vulnerable and non-indigenous species often targeted in biological monitoring. We show that while deployment duration does not drive diversity estimates, sampling effort and sequencing depth across observatories do. We recommend that ARMS should be deployed for at least 3-6 months during the main growth season to use resources as efficiently as possible and that post-sequencing curation is applied to enable statistical comparison of spatio-temporal entities. We suggest that ARMS should be used in biological monitoring programs and long-term ecological research and encourage the adoption of our ARMS-MBON protocols.

EDITORIAL article Front. Mar. Sci., 15 January 2024Sec. Marine Ecosystem Ecology Volume 11 - 2024 | https://doi.org/10.3389/fmars.2024.1338242

The importance of microbial communities in fish hatcheries for fish health and welfare has been recognized, with several studies mapping these communities during healthy rearing conditions and disease outbreaks. In this study, we analyzed the bacteriome of the live feeds, such as microalgae, rotifers, and Artemia, used in fish hatcheries that produce Mediterranean species. Our goal was to provide baseline information about their structure, emphasizing in environmental putative fish pathogenic bacteria. We conducted 16S rRNA amplicon Novaseq sequencing for our analysis, and we inferred 46,745 taxonomically annotated ASVs. Results showed that incoming environmental water plays a significant role in the presence of important taxa that constitute presumptive pathogens. Bio-statistical analyses revealed a relatively stable bacteriome among seasonal samplings for every hatchery but a diverse bacteriome between sampling stations and a distinct core bacteriome for each hatchery. Analysis of putative opportunistic fish pathogenic genera revealed some co-occurrence correlation events and a high average relative abundance of Vibrio, Tenacibaculum, and Photobacterium genera in live feeds, reaching a grand mean average of up to 7.3% for the hatchery of the Hellenic Center of Marine Research (HCMR), 12% for Hatchery A, and 11.5% for Hatchery B. Mapping the bacteriome in live feeds is pivotal for understanding the marine environment and distinct aquaculture practices and can guide improvements in hatchery management, enhancing fish health and sustainability in the Mediterranean region.

BACKGROUND: Spotting disease infects a variety of sea urchin species across many different marine locations. The disease is characterized by discrete lesions on the body surface composed of discolored necrotic tissue that cause the loss of all surface appendages within the lesioned area. A similar, but separate disease of sea urchins called bald sea urchin disease (BSUD) has overlapping symptoms with spotting disease, resulting in confusions in distinguishing the two diseases. Previous studies have focus on identifying the underlying causative agent of spotting disease, which has resulted in the identification of a wide array of pathogenic bacteria that vary based on location and sea urchin species. Our aim was to investigate the spotting disease infection by characterizing the microbiomes of the animal surface and various tissues. RESULTS: We collected samples of the global body surface, the lesion surface, lesioned and non-lesioned body wall, and coelomic fluid, in addition to samples from healthy sea urchins. 16S rRNA gene was amplified and sequenced from the genomic DNA. Results show that the lesions are composed mainly of Cyclobacteriaceae, Cryomorphaceae, and a few other taxa, and that the microbial composition of lesions is the same for all infected sea urchins. Spotting disease also alters the microbial composition of the non-lesioned body wall and coelomic fluid of infected sea urchins. In our closed aquarium systems, sea urchins contracted spotting disease and BSUD separately and therefore direct comparisons could be made between the microbiomes from diseased and healthy sea urchins. CONCLUSION: Results show that spotting disease and BSUD are separate diseases with distinct symptoms and distinct microbial compositions.

Strain TB1-E2-13 T was isolated from water collected from the Tidal Basin in Washington, D.C., USA, due to the bright purple colour of its colonies, and was taxonomically evaluated with a polyphasic approach. Comparison of a partial 16S rRNA gene sequence found that strain TB1-E2-13 T was most similar to species in the Janthinobacterium genus. For more precise taxonomic inference, a phylogenomic analysis was conducted and indicated that strain TB1-E2-13 T was most closely related to Janthinobacterium lividum , ‘ Janthinobacterium kumbetense ’, Janthinobacterium rivuli and Janthinobacterium violaceinigrum . Analyses of genomic indices found that pairwise comparisons between strain TB1-E2-13 T and other members of the Janthinobacterium genus returned values below the threshold of species novelty. Based on a polyphasic characterization and identifying differences in genomic and taxonomic data, strain TB1-E2-13 T represents a novel species, for which the name Janthinobacterium aestuarii sp. nov. is proposed. The type strain is TB1-E2-13 T (=ATCC TSD-339 T =JCM 36076 T ).

Ports are critical hubs for global trade, yet they are also significant hotspots for the unintentional introduction and dispersal of aquatic organisms, primarily via ballast water. While the International Maritime Organization's (IMO's) Ballast Water Management Convention aims to prevent the transfer of harmful aquatic organisms and pathogens, this study reveals persistent shortcomings in its effectiveness, particularly concerning phytoplankton. The present research analyzed phytoplankton communities in three major Spanish ports (Algeciras, Bilbao, and Valencia) across three sampling campaigns in 2023. Employing a multi-method approach, including microscopy, HPLC pigment analysis, and eDNA metabarcoding, the study evaluated biosecurity risks and regulatory limitations. A key finding was the consistent dominance of picophytoplankton (<10 μm) in total biomass across all ports, averaging 86 % in Algeciras, 78 % in Bilbao, and 96 % in Valencia. However, despite their overwhelming abundance, ecological relevance and the potential of several of them for being harmful (e.g. Phaeocystis globosa ), the IMO's D-2 Performance Standard explicitly excludes this size range from its discharge criteria. Additionally, 55 harmful algal species (36 toxin-producing, 19 high-biomass) were persistently identified in all three ports, highlighting another critical regulatory gap, as the current regulations lack specific discharge limits for harmful taxa. The study also revealed a significant mismatch between natural port phytoplankton concentrations and Ballast Water Management System certification testing conditions, with most samples not reaching required challenge levels. Thus, results underscore the urgent need to revise IMO standards, advocating for new discharge criteria for phytoplankton smaller than 10 μm and implementing taxon-specific regulations for harmful algae. • Phytoplankton <10 μm, unregulated by IMO, dominated Spanish ports. • Harmful algae, lacking specific regulation, were consistently present in port waters. • BWMS tests do not reflect real port phytoplankton concentrations. • Regulatory gaps facilitate the unnoticed spread of potentially harmful phytoplankton. • A new <10 μm size class and taxon-specific limits for harmful taxa are needed.

BACKGROUND: Genomic Observatories (GOs) are sites of long-term scientific study that undertake regular assessments of the genomic biodiversity. The European Marine Omics Biodiversity Observation Network (EMO BON) is a network of GOs that conduct regular biological community samplings to generate environmental and metagenomic data of microbial communities from designated marine stations around Europe. The development of an effective workflow is essential for the analysis of the EMO BON metagenomic data in a timely and reproducible manner. FINDINGS: Based on the established MGnify resource, we developed metaGOflow. metaGOflow supports the fast inference of taxonomic profiles from GO-derived data based on ribosomal RNA genes and their functional annotation using the raw reads. Thanks to the Research Object Crate packaging, relevant metadata about the sample under study, and the details of the bioinformatics analysis it has been subjected to, are inherited to the data product while its modular implementation allows running the workflow partially. The analysis of 2 EMO BON samples and 1 Tara Oceans sample was performed as a use case. CONCLUSIONS: metaGOflow is an efficient and robust workflow that scales to the needs of projects producing big metagenomic data such as EMO BON. It highlights how containerization technologies along with modern workflow languages and metadata package approaches can support the needs of researchers when dealing with ever-increasing volumes of biological data. Despite being initially oriented to address the needs of EMO BON, metaGOflow is a flexible and easy-to-use workflow that can be broadly used for one-sample-at-a-time analysis of shotgun metagenomics data.

For life science infrastructures, sensitive data generate an additional layer of complexity. Cross-domain categorisation and discovery of digital resources related to sensitive data presents major interoperability challenges. To support this FAIRification process, a toolbox demonstrator aiming at support for discovery of digital objects related to sensitive data (e.g., regulations, guidelines, best practice, tools) has been developed. The toolbox is based upon a categorisation system developed and harmonised across a cluster of 6 life science research infrastructures. Three different versions were built, tested by subsequent pilot studies, finally leading to a system with 7 main categories (sensitive data type, resource type, research field, data type, stage in data sharing life cycle, geographical scope, specific topics). 109 resources attached with the tags in pilot study 3 were used as the initial content for the toolbox demonstrator, a software tool allowing searching of digital objects linked to sensitive data with filtering based upon the categorisation system. Important next steps are a broad evaluation of the usability and user-friendliness of the toolbox, extension to more resources, broader adoption by different life-science communities, and a long-term vision for maintenance and sustainability.

Abstract Sharing sensitive data is a specific challenge for research infrastructures in the field of life sciences. For that reason a toolbox has been developed, providing resources for researchers who wish to share and use sensitive data, to support the workflows for handling these kinds of digital objects. Common and community approved annotations are required to be compliant with FAIR principles (Findability, Accessibility, Interoperability, Reusability). The toolbox makes use of a tagging (categorisation) system, allowing consistent labelling and categorisation of digital objects, in terms relevant to data sharing tasks and activities. A pilot study was performed within the Horizon 2020 project EOSC-Life, in which 2 experts from 6 life sciences research infrastructures were recruited to independently assign tags to the same set of 10 to 25 resources related to sensitive data management and data sharing (in total 110). Summary statistics of agreement and observer variation per research infrastructure are provided. The pilot study has shown that experts were able to attribute tags but in most cases with a considerable observer variation between experts. In the context of CWFR (Canonical Workflow Frameworks for Research), this indicates the necessity for careful definition, evaluation and validation of parameters and processes related to workflow descriptions. The results from this pilot study were used to tackle this issue by revising the categorisation system and providing an updated version.

The Drosophila melanogaster microbiome is crucial for regulating physiological processes, including immune system development and function. D. melanogaster offers distinct advantages over vertebrate models, allowing a detailed investigation of host-microbiota interactions and their effects on modulating host defense systems. It is an outstanding model for studying innate immune responses against parasites. Entomopathogenic nematodes (EPNs) activate immune signaling in the fly, leading to immune responses to combat infection. However, the impact of EPN infection on the host larval microbiome remains poorly understood. Therefore, we investigated whether EPN infection affects the D. melanogaster larval microbiome. We infected third-instar D. melanogaster larvae with Heterorhabditis bacteriophora symbiotic nematodes (containing Photorhabdus luminescens bacteria) and axenic nematodes (devoid of symbiotic bacteria). Drosophila melanogaster microbiome analysis revealed statistically significant differences in microbiome composition between uninfected and EPN-infected larvae. Notably, infection with axenic nematodes resulted in 68 unique species, causing a significant shift in the D. melanogaster larval microbiome and an increase in bacterial diversity compared to larvae infected with symbiotic nematodes. This suggests that the absence of the endosymbiont creates ecological niches for unique species and a more diverse microbiome in larvae infected with the axenic nematodes. This research will enhance our understanding of microbial species within the D. melanogaster microbiome that regulate homeostasis during nematode infection. These insights could be beneficial in developing innovative strategies for managing agricultural pests and disease vectors.

Continuing the international efforts of the ARMS Marine Biodiversity Observation Network (ARMS-MBON), we present data from the second sampling campaign, coming from 56 Autonomous Reef Monitoring Structures (ARMS) deployed in 2020 and 2021 along European coasts under the European Marine Omics Biodiversity Observation Network (EMO BON). The data set includes information on sampling locations and conditions, sample archiving, and quality reports of collected samples. Data and metadata are openly accessible and can be downloaded from the associated GitHub repository. Sequence data can be accessed via the European Nucleotide Archive (ENA) through the corresponding accession numbers. Images of ARMS plates are stored in PlutoF and can be downloaded through links provided in this paper. Sequence data was processed and explored with the PEMA pipeline, resulting in 17,194, 7,235 and 5,261 unique ASVs/OTUs for COI, 18S and ITS, respectively. In this data set, ARMS revealed the presence of over 61 eukaryotic phyla, aligning with our previous sampling campaign. Among these phyla, 35 had ASVs/OTUs identified to the species level. With this data set and its associated paper, we provide a standardised resource for marine biodiversity monitoring and scientific analyses of benthic biodiversity. The presented data product supports future studies on the status and changes in species composition, distribution, and genetic diversity.

Abstract The Hawaiian islands are among the most geologically and volcanically active places on Earth. While the Hawaiian Archipelago is known for its animal and plant diversity, much less is known about microbial diversity in the area’s diverse habitats. In this study, we focused on steam vent associated biofilms found on the most volcanically active island of Hawai□i, also known as the Big Island. From 46 samples from various biofilms and associated features around fumaroles emitting water steam, we generated amplicon and metagenomic sequences. Amplicon data showed that Chloroflexota and Cyanobacteriota are the numerically dominant phyla in these biofilm communities. We constructed 363 non-redundant medium to high-quality metagenome-assembled genomes (MAGs) that are at least 70% complete and with less than 5% contamination. Ten MAGs belong in the domain Archaea, and 353 belong in the domain Bacteria. This dataset could provide valuable insights into microbial diversity and ecology around volcanic features in Hawai‘i and elsewhere.

The Horizon 2020 project EOSC-Life brings together the 13 Life Science ‘ESFRI’ research infrastructures to create an open, digital and collaborative space for biological and medical research. Sharing sensitive data is a specific challenge within EOSC-Life. For that reason, a toolbox is developed, providing information to researchers who wish to share sensitive data or to use sensitive data. The sensitivity of the data may arise from its personal nature but can also be caused by intellectual property considerations, biohazard concerns, or the Nagoya protocol. The toolbox will not create new content, instead, it will allow researchers to find existing resources that are relevant for sharing sensitive data across all participating research infrastructures (F in FAIR). The toolbox is based upon a tagging (categorisation) system, allowing consistent labelling and categorisation of resources, in terms most relevant to data sharing tasks and activities in the Life Sciences. A first version of the tagging system was provided (version 1), covering 8 dimensions (resource type, research field, research design, data type, stage in data sharing life cycle, geographical scope, specific topics or keywords and targeted group) and evaluated in a pilot study, generating major feedback for improvement of the categorisation system. Consequently, an updated version (version 2) of the categorisation system was provided with 55 tags spread over 6 dimensions, which is described in this report.

Environmental DNA (eDNA) has emerged as a transformative tool for monitoring aquatic biodiversity, offering a non-invasive and highly sensitive approach to detecting organisms across diverse ecosystems. However, its effective downstream application across Europe in environmental management is hindered by inconsistencies in data standardisation, metadata reporting, and accessibility. This perspective comprehensively evaluates current data repositories, data submission workflows, and standardisation efforts within the European aquatic eDNA landscape. By employing a multi-method approach, including an inventory of eDNA databases, a metadata assessment, a stakeholder questionnaire, and a generative Artificial Intelligence (AI)-driven analysis of scientific literature, our findings reveal substantial variability in metadata reporting practices, with several areas misaligned with Findable, Accessible, Interoperable, and Reusable (FAIR) principles. While some repositories demonstrate strong data curation and accessibility, others lack essential metadata descriptors, limiting interoperability. We identify critical gaps in metadata submission, particularly concerning sampling methods and wet lab workflows, which heavily impact data reusability. The use of generative AI in this study further enabled large-scale identification of recurring reporting weaknesses, highlighting structural challenges that extend beyond individual studies. Addressing these gaps and leveraging advanced computational approaches through international standards and harmonised guidelines represents a clear way forward, as articulated in the recent “Making eDNAFAIR” paper by Takahashi et al. (2025), which is based on the use of Darwin Core (DwC) and Genomics Standards Consortium (GSC) MIxS standards, as well as Global Biodiversity Information Facility (GBIF)’s “Publishing DNA-derived data through biodiversity data platforms” guidelines. Furthermore, additional complementary principles strengthen this framework. The Collective benefit, Authority to control, Responsibility, Ethics (CARE) principles emphasise Indigenous data governance and responsible sample stewardship, while the Transparency, Responsibility, User focus, Sustainability, Technology (TRUST) principles provide criteria for repository reliability and long-term digital preservation. Together, the combined application of FAIR, CARE, and TRUST principles provides a structured foundation for ensuring robust, interoperable, and ethically managed eDNA data that support aquatic biodiversity research, management, and conservation across Europe.