MESO: Microbial Ecogenomics of the Southern Ocean – Analysis of the functional diversity, evolution and ecology of the Southern Ocean plankton, from genes and metabolites to Earth System Models

Scientific Background and Relevance

Marine microbes form the foundation of Southern Ocean (SO) ecosystems and are the first responders to the ongoing environmental change in this critical region.Genomic and metagenomic surveys consistently yield novel microbial genes and clades that are endemic to the SO, yet we understand little about the genetic mechanisms and fitness determinants of microbial survival in polar habitats. With poorly resolved temporal and spatial biogeography of keystone SO microorganisms across seasons and polar biomes, our insights into their role in major biogeochemical cycles remain incomplete. Given the critical importance of the Southern Ocean for global carbon fixation and export, accurately delineating its ecological provinces and modelling current and future ecosystem dynamics in unique SO biomes is urgently needed to predict how climate change will affect one of the most productive marine systems on Earth.

Primary production in the Southern Ocean is confined to brief pulses that are tightly synchronized with the advance and retreat of the sea-ice edge in ice-influenced regions. The extreme shifts in light-regimes, temperatures and other habitat conditions impose unique environmental pressures that shape the ecology and evolution of its microbial communities. During austral winter, extreme darkness due to the polar night is combined with sea-ice that covers half of the Southern Ocean. This seasonal ice cover plays an essential role in the biological and geochemical functioning of the SO, harboring diverse microorganisms with sustained activity even in winter. Sea Ice Microbial communities (SIMCO) may serve as reservoirs of diversity during sea-ice/seawater transitions, yet they remain vastly underexplored. The knowledge gap extends to the sub sea-ice water column, where winter observations are scarce, and realistic evaluations of planktonic community composition and key activities, such as organic matter remineralization and dark primary production, remain elusive. As a result, current local Earth System models are at odds with recent observations regarding primary productivity, and ongoing changes – such as coastal glacier melting and sea-ice decline- may have dramatic, but unconstrained, influences on these trajectories.

Our workgroup brings together a diverse team of scientists that represent a wide range of expertise, including microbiology, molecular and chemical ecology, mathematics, computer science, to address major knowledge gaps that have hampered the comprehension of biological processes that underpin Southern Ocean ecosystems and predict ecological and biogeochemical trajectories under various climate change scenarios. Our workgroup advocates for an ambitious scientific plan to study the microbial life in the Southern Ocean through standardized sampling protocols, robust data production and FAIR data sharing strategies, and state-of-the-art computational and modeling approaches, to enable the deployment of modern omics approaches in this understudied Ocean. We believe our workgroup will become a key pillar of the InSync initiative, within which we will advance scientific insights into the SO microbial ecosystems with implications from policy to society.

Objectives

1. Methodological and coordination objectives

The MESO workgroup aims at delivering contextualized high-quality omics and microimaging data resulting from the diverse inSync operations that can be shared and re-used by the Southern Ocean research community

  1. Establish Standard Operating Procedures for seawater, sea-ice and sediment sampling, across InSync expeditions and platforms, for high-quality omics data collection.
  2. Establish appropriate wet-lab procedures and bioinformatics workflows to deliver high-quality and intercomparable biological objects observation tables (genes, transcript, proteins, metabolites and Mobile Genetic Elements interactions) from raw omics data, that can be shared effectively with the polar research community (polar microbiology, biogeochemistry, modeling, climate research, etc.).
  3. Establish a data management plan for omics data, from raw data to final biological observation tables, adhering to the FAIR principles. Ensure tight synchronization with other InSync datasets, in particular biogeochemical, physical and remote sensing parameters acquired during InSync operations.
  4. Adapt protocols for platform-specific capabilities and specificities, enabling additional measurements and sampling (in-situ incubations and activity measurements, sampling of deep water-masses, deployment and recovery of autonomous samplers and vehicle, ice-breaking and ice sampling capacity, sediment coring capacity).
  5. Build an integrated, season-stratified operations schedule with deliberate overlap between stations and/or habitat foci and ensure hand-offs among research platforms or expedition legs, enabling direct cross-cutting process studies on autumn decline, overwintering, spring bloom onset and summer productivity.
  6. Conceptual and computational framework for heterogenous data integration and annotation (omics, micro- and satellite imagery, and geochemical data).
  7. Develop computational models and tools to gain predictive and mechanistic understandings of microbial (metabolic) interactions, community function, and ecosystem functioning in the Southern Ocean.
  8. Develop computational models and methods to infer ecological traits and metabolic phenotypes directly from omics data with the goal to reveal ecosystem responses by implementing evolutionary processes within trait-based ecosystem models, bridging molecular observations and knowledge into Earth System dynamics for improving mechanistic predictions.

2. Scientific objectives

The overarching scientific objective of the MESO workgroup is to advance fundamental knowledge on the SO microbial compartment, its activity, diversity, ecology and evolution as well as its sensitivity to predicted environmental changes and its integration to realistic regional ocean models.

  1. Establish a SO biome and water-mass resolved reference atlas of viral, prokaryotic and eukaryotic plankton genes and genomes through omics approaches.
  2. Understand and model seasonal biological variations associated with SO functioning (open-water, sea ice, polynya formation, sub-antarctic island weathering, continental coastal systems, glacier fronts, etc.).
  3. Identify SO specific genomic features and adaptations to polar environments, including metabolic interactions in the phycosphere sustaining carbon fixation and export.
  4. Identify SO genomic and metabolic responses to seasonal transitional periods from high to low productivity and vice versa¹.
  5. Identify biological markers that can be used to assess and monitor biological and ecological shifts in climate changes scenarios.
  6. Document under-represented ecosystems with key contributions and microbial communities (coastal systems, glacier fronts, sympagic communities, etc.).
  7. Identify biological, metabolic and ecological features relevant for their integration in SO-specific Earth System Models.
  8. Predict, identify and analyze symbiotic and parasitic cross-kingdom interactions within microbial communities, especially during phases with low primary production.
  9. Assess ecological and biogeochemical contributions of sea and sea-ice microbial communities in SO seasonal cycles.
  10. Highlight the contribution of viral infection in plankton population dynamics and primary production and export.
  11. Highlight the role of viruses and mobile genetic elements in rapid polar plankton evolution through horizontal transmission of auxiliary metabolic genes using HiC contact maps.
  12. Reconstruct past biological variations from marine sedimentary records using paleogenomics.

3. Societal relevance : interface with policy and ecosystem management objectives

Owing to their richness, complexity and sensitivity to environmental changes at different time scales, omics data are particularly well suited to delineate spatial and temporal marine ecoregions. A central objective to the MESO workgroup will be to evaluate how new knowledge on plankton diversity and dynamics can contribute to redefine ecosystem management and protection concepts and vocabularies adapted to the unique Southern Ocean ecological and political environment.

  1. Define omics-informed diagnosis and steering policy indicators.
  2. Rethinking marine ecosystems time, space and boundaries with omics data: conceptual contribution of marine microbial diversity to ocean ontologies and geo-philosophies of the Southern Ocean.

 

Methods and Approach

  • Sampling methods and technologies
    • CTD /Rosette
    • Sediment coring
    • Plankton Net and continuous plankton recorder
    • Sea-ice coring
    • Autonomous sampler
    • Autonomous vehicles (optional)
    • On-board incubations and co-inoculations
  • Data integration and standardization
    • Standard Operating Procedures for omics/microbiology data collection throughout all InSync operations.
    • Minimum environment variable set associated with microbiological data
    • Complete integration with other sampling and measurements
  • Links with existing initiatives (e.g., SCAR EGs, CCAMLR, SOOS, etc.) 
    • The MESO WG will work in coordination with the SCAR Expert Group on Antarctic Biodiversity Informatics (EG-ABI) to develop ad hoc analysis, reporting and visualisation tools for MESO result synthesis
    • The MESO WG will follow the SOOS Southern Ocean Observing System Data Management Sub-Committee “GUIDE TO PUBLISHING DATA FOR THE POLAR RESEARCH COMMUNITY” for optimal data sharing with a wider community and integrate existing and inSync omics datapoints into the general SOOS map. We will coordinate with and seek endorsement by SOOS to increase deliverables diffusion. (Contact point M. Adjou)

Expected Outcomes and Deliverables

The MESO Working Group will map microbial adaptations in Antarctic habitats by identifying the genomic bases of inter- and intraspecies interactions, build a season- and region-resolved omics atlas linking chemical inventories and community structure to physicochemical drivers, deliver FAIR biological observation tables and biomarkers for monitoring change, quantify winter persistence and spring reseeding and their consequences for carbon use and export, and embed these constraints into Southern Ocean–specific model parameterizations. Together, these outcomes directly serve InSync’s circumpolar, year-round observation mission and open-data aims and inform its scientific themes, specifically on rapid sea-ice decline, protection of unique Antarctic life and Southern Ocean heat–freshwater–carbon budgets.

  • Datasets
    • Raw metagenomics, metatranscriptomics, metabolomics, metaproteomics and plankton imaging deposited in international repositories (European nucleotide archive, European bioinformatics institute, ODATIS, Pangaea…)
    • Global and seasonal multi-omics integrated reference databases for SO microbiomes (comprehensive catalogs of genes, transcripts, proteins, metabolites, genomes, communities)
    • Biological features counts per sample reusable by other workgroups, with high relevance for AI, trace metal limitation, carbon cycling and SO biogeography studies
  • Publications
    • Peer-reviewed papers in high-impact international journals
    • SOP documents
    • Blog posts, news paper articles, press releases
  • Training
    • Online Seminar Series on Microbiology of the Southern Ocean
  • Input to policy bodies
    • IPB1: Definition of ecological provinces based on omics biological data. Support to MPA in the Southern Ocean
    • IPB2: Updated ESM and Regional models based on Genome-scale metabolic models / Flux Variability Analysis contributing to IPCC Assessment Reports
    • IPB3: Diversity-based assessments of critical biomes and their possible trajectories in different changing SO scenarios from metabolic models.
  • Capacity building activity
    • CPA1: Ocean sampling for omics data: standard operating procedures for inSync (single 2-week workshop in Brest or Bremerhaven, June 2026)
    • CPA2: Bioinformatics workshops: Emerging Bioinformatics Applications for Microbial Ecogenomics (yearly EBAME 2-weeks workshops in Brest, France, led by L. Maignien)
    • CPA3: Hackathons: On open-source software, scalable bioinformatics, and AI for integrated ‘omics (yearly 2-week events in Oldenburg, Germany, led by A.M. Eren)
    • CPA4: Building Southern Ocean System models around omics data (yearly in Nantes University, France, led by S. Chaffron)
    • CPA5: promotion of interdisciplinary ECR teams2 (cross-WG ECR workshops)
  • Final deliverable and WG activity legacy
    • D1: A genomic Atlas of Southern Ocean plankton species, functional traits and ecological niches
    • D2: Proposal for long term plankton autonomous samplers for Southern Ocean times series (location, logistics, hardware architecture and validation)
    • D3: List of sensitive ecological marine biomes, monitoring and protection measures recommendations
    • D4: Proposal for an updated omics-informed Southern Ocean ecosystems ontology
    • D5: Proposal for omics-based essential variables and biomarkers relevant for ecosystem monitoring and protection

Timeline / Implementation Plan

Timeframe Task
2025
  • Consolidate workgroup participant list and missions. Seek ECR participation and involvement in WG science plans and oversight (public call of interest).
  • Workgroup steering organisation and participant role definition.
  • Contribution to Theme 4 “Improving knowledge and protection of the unique Antarctic life” white paper.
  • Coordinate across WG and themes, address redundant objectives and tasks if any.
2026
  • Workshop “Standard Operating Procedures for Omics” for seawater, sediments and sea-ice.
  • Drafting of secondary proposals for Polar Stern inSync legs (“host-viruses interactions for plankton and sea-ice communities ecology, activity and evolution”).
  • Data management plan.
  • National and EU project grant submission (sampling material, sequencing, bioinformatics analysis, ECR salaries, in person meetings).
  • Cruise application on opportunity vessels (S/V Tara, Perseverance, Forel,…).
2027-2030

Cruise participation, sampling and sample processing.

2030-2032
  • Data deposition in international repositories.
  • Interaction with other WG for results synthesis and integration (in person workshops).
  • Preparation of deliverable D1-D5.

Convenors and Contact Points

Loïs Maignien

Brest University
Loïs Maignien is a marine microbiologist and PI of the microbial ecogenomics group at the Brest University Marine Science Institute. LM has over 10 years of experience in molecular ecology, using large omics datasets to elucidate ecology and evolution of marine microbes in diverse marine biomes. Since 2017, LM and his group have focused their research on the Southern Ocean plankton diversity, adaptation and biogeography using gene and genome centric approaches. This resulted in the recent publication of a first molecular genomic Atlas of the Southern Ocean. The microbial ecogenomics group is maintaining a high performance computing environment for molecular data analysis, both in large clusters (IFREMER’s Datamor) and local servers, ensuring efficient processing of high throughput sequencing data analysis. LM is course director of EBAME (Emerging Bioinformatic Applications for Microbial Ecogenomics), an annual two-week intensive international workshop presenting the latest development in computational biology for omics studies. This will ensure a high-level formation of all ECR involved in the Meso workgroup. In addition, LM has extensive experience with national and international project coordination in the field of marine microbiology, and participated in numerous polar and deep-sea multidisciplinary marine scientific expeditions, including the Antarctic Circum Navigation Expedition in 2016-2017.

A. Murat Eren

Ph.D., Helmholtz Institute for Functional Marine Biodiversity (HIFMB), Oldenburg, Germany. Meren is a computer scientist and microbial ecologist studying the ecology and evolution of naturally occurring microbial populations through integrated 'omics approaches. His group has developed numerous algorithms and software solutions for big-data challenges in microbiology, maintaining one of the most advanced open-source platforms for microbial 'omics (https://anvio.org). By integrating predicted protein structures with population genetics, the group was among the first to link temperature changes to protein evolution within marine microbial populations. Recently, they've pioneered new approaches to understanding microbial pangenome variability by applying graph theory to analyze sequence variation across homologous genes alongside their synteny, yielding insights into evolutionary processes shaping genomic architectures. The group is developing a computational framework to integrate DNA/RNA sequencing with biogeochemical measurements from cultures and environmental samples. Through HIFMB, Meren's group uniquely combines computational expertise with access to social science input and knowledge transfer capabilities, including specific expertise in polar systems. This interdisciplinary positioning enables the group to address complex challenges requiring software development, data integration, and visualization while ensuring broader societal relevance and impact of their polar microbiology research.

Samuel Chaffron

Ph.D., CNRS & Nantes University. Samuel is a computational biologist in the ComBi team of the Digital Sciences Laboratory of Nantes (LS2N). With a strong expertise in comparative (meta)genomics and computational eco-systems biology, his main research interest lies in understanding ecological and evolutionary factors structuring natural microbial communities across levels of organisation, from genes to communities and ecosystems, with a specific focus on marine plankton. At the interface of ecology and systems biology, his team develops computational models and tools to gain a predictive and mechanistic understanding of microbial (metabolic) interactions, community function, and ecosystem functioning. His team also develops computational models and methods to infer ecological traits and metabolic phenotypes directly from environmental DNA with the goal to reveal ecosystem responses by implementing evolutionary processes within trait-based ecosystem models, thereby bridging molecular observations and knowledge in Earth System Models for improving mechanistic predictions. He is a core member of the Tara Oceans consortium and the Research Federation on Global Oceans Systems Ecology & Evolution (FR2022), and participated in four oceanographic campaigns as chief scientist onboard R/V Tara (Tara Oceans Polar Circle - 2013; Tara Mission Microbiomes - 2021 and 2022; TREC - 2023).

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