MétaCan
Menu
Retour à la cohorte
Enregistrement W4399046710 · doi:10.1002/mlf2.12124

Harnessing marine microbiomes to develop a sustainable, all‐Atlantic bioeconomy

2024· article· en· W4399046710 sur OpenAlexaffabout
Cristiane C. Thompson, Alice C. Ortmann, Henk Bolhuis, Thulani P. Makhalanyane, Fabiano L. Thompson

Notice bibliographique

RevuemLife · 2024
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueMicrobial Community Ecology and Physiology
Établissements canadiensBedford Institute of OceanographyFisheries and Oceans Canada
Organismes subventionnairesNOAA Ocean ExplorationNational Oceanic and Atmospheric AdministrationFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
Mots-clésMicrobiomeGeographyEnvironmental planningEnvironmental resource managementFisheryEnvironmental ethicsBiologyEnvironmental scienceBioinformatics

Résumé

récupéré en direct d'OpenAlex

Marine microbiomes are integral to the functioning of a healthy ocean and have the potential to be key contributors toward an all-Atlantic sustainable blue bioeconomy (Figure 1). New compounds may be developed based on these microbiomes. The Atlantic Ocean is a biodiversity hotspot. The All-Atlantic Ocean Research and Innovation Alliance (AAORIA) Declaration, signed in 2022 in Washington, DC, is a promising mechanism to move forward marine microbiome science, technology, and innovation. However, science, technology, and innovation initiatives in the South Atlantic require great attention. Here we highlight the potential, and challenges ahead, of an all-Atlantic marine microbiome initiative. Successful examples around the world are discussed, and suggestions are put forward. Microbes including bacteria, archaea, protists, and fungi represent the majority of the ocean biomass1. These microbes play a central a role in nutrient cycling, fluxes of energy, and matter in the ocean contributing to primary production and climate change mitigation2. Furthermore, long-term host–microbe co-evolution has allowed (in)vertebrates to occupy diverse niches in the ocean (e.g., the deep sea, hydrothermal vents, and coral reefs), facilitated by endosymbiotic microbes which have established stable partnerships with their hosts3. The Tara Ocean global survey demonstrated that microbial diversity is modulated by water mass parameters, such as temperature and nutrients4. More recently, the Tara Research Federation has identified a wealth of novel pico-planktonic eukaryotic primary producers inhabiting oxygen minimum zones5. Simultaneously, databases and artificial intelligence tools have been developed for mining marine microbiomes6. Some of these developments are being carried out in collaboration with the industry to expand knowledge of marine microbiomes. While there is much more to discover about marine microbiomes, we know they are important players in supporting marine food webs. We also know that their functional diversity is remarkably high and that these microbiomes are integral for a healthy ocean which may support a sustainable bioeconomy. In this context, we believe that countries bordering the Atlantic Ocean (including representatives from the Global South and North) may create meaningful partnerships to provide the investment and science innovation needed to address several of the United Nations Sustainable Development Goals. Almost 900 million people are affected by hunger (http://wfp.org; accessed April 10, 2024). Further pressure on traditional agriculture and aquaculture practices is foreseen due to human population increase, which is estimated to approach up to 10 billion people in 2050. While aquaculture is responsible for the annual production of 88 million metric tonnes of fish, most are produced in inland (fresh) waters. Estimates suggest that <40% of the fish production is derived from marine systems (mariculture). Harvesting wild populations of marine organisms cannot sustainably provide sufficient additional food. Estimates suggest that 35.4% of stocks may be overfished as of 20197. Alternative approaches to mariculture and coastal agriculture are urgently required. These approaches may harness the diverse metabolic traits of microbial communities to augment the production of marine-derived resources8. Saline agriculture may provide a sustainable alternative to traditional coastal agriculture (https://Simbaproject.eu; https://www.thesaltdoctors.com/). These approaches contribute to sustainability by reducing the need for freshwater and by making use of less arable land. To promote saline agriculture, different initiatives have applied high-tech microbiological screening for plant growth-promoting genes from salt-tolerant microbes. These microbes may alter the root habitats or modify the plant physiology, increasing production in salt-impacted land. Microbiomes are also central for the development of low-carbon and integrated multitrophic mariculture (IMTA). These technologies focus on the developing multitrophic systems that recycle waste and reduce antibiotic use and carbon emissions8. Biofloc technology (BFT) has also been successfully applied in the shrimp aquaculture9. BFT is based on the use of microbial consortia which can serve as a food source and to remediate rearing water quality. Marine microbiomes also offer great potential for drug discovery10. Antibiotic resistance, the emergence of new diseases, and increasing cancer rates require the development of novel pharmaceuticals to address these public health challenges. Currently, there are >18,000 natural products which have been derived from the marine environments (microorganisms and macroorganisms)11. Of these, over 5000 products have been patented11. Estimates suggest that over 40,000 novel gene clusters, obtained from 35,000 microorganisms and macroorganisms, may code for highly novel bioactive molecules and enzymes. On this path, the Blue Remediomics Initiative aims to develop tools to catalog marine microbiome datasets, new medicines, cosmeceuticals, and bioproducts (https://www.embl.org/news/science/blueremediomics-harnessing-marine-microbes-to-promote-a-circular-bioeconomy/). However, some marine microbiomes remain poorly characterized. A recent initiative has put forward standard methods and best practices for marine microbiome science, technology, and innovation (STI) (https://www.frontiersin.org/research-topics/15877/marine-microbiomes-towards-standard-methods-and-best-practices). Research priorities in marine microbiomes include measuring microbiome diversity in poorly sampled regions including the deep sea and Global South, quantifying interactions between microbiota, and harnessing oceanic microorganisms to expand the bioeconomy. These insights are crucial for efforts aimed at driving policy and increasing ocean literacy4. A series of international agreements have been signed to support collaborative science in the Atlantic12 (Figure 1). A consensus outcome of the All-Atlantic Declaration is the establishment of the AAORIA to support and facilitate efforts aimed at the sustainable development of the Atlantic Ocean. The recent announcement that AAORIA will focus on two specific initiatives, one focused on climate change and the ocean and the other focused on ocean observing, might provide some potential opportunities to support marine microbiome STI across the Atlantic (https://allatlanticocean.org/news/conclusions-from-the-2023-all-atlantic-ocean-research-and-innovation-alliance-forum/). The Biotecmar (https://allatlanticocean.org/wp-content/uploads/2023/07/Marine-Biotechnology-Initiative.pdf) and the Atlantic Ocean Research Alliance (AORA) Marine Microbiome Working Group (https://www.marinemicrobiome.org/) were launched, respectively, with a focus on biotechnology and marine microbiomes. Ongoing data collection for harnessing marine microbiomes is underway in several initiatives across the Atlantic (https://oceandecade.org/actions/observing-and-promoting-atlantic-microbiomes/; https://ocean.si.edu/ocean-life/microbes/marine-microbes; https://www.macumbaproject.eu/; https://jpi-oceans.eu/en/pharmasea; https://oceandecade.org/actions/mission-ocean-microbiomes-tara-microbiomes/; https://triatlas.w.uib.no/; https://www.bluetools-project.eu/; https://marblesproject.eu/). These projects will bring new insights into the use of marine microbiomes in bioeconomy. The European Union (EU)-lead coordinated microbiome research projects, such as Astral (https://www.astral-project.eu/) and Innoaqua (https://innoaquaproject.eu/), have provided new insights regarding ocean processes, food security, aquaculture, and how a healthy ocean is necessary for a sustainable blue bioeconomy8, 13. In addition, the strategic use of shared infrastructure has led to improved insights. For instance, the Geotraces (https://www.geotraces.org/) and the EU-funded AtlantECO (https://www.atlanteco.eu) projects have relied on the development of shared protocols to leverage expensive infrastructure across underexplored regions in the Atlantic. These efforts have led to increased research in different countries including participation by researchers in the Global South. However, more accessible marine microbiome infrastructure and human capital formation are needed, e.g., through multiuser facilities (https://schmidtocean.org/) and more target programs (http://www.coml.org/). The International Center for Deep Life Investigation at Shanghai Jiao Tong University represents one approach to supporting international collaborations (https://icdli.sjtu.edu.cn/). Multinational efforts to promote capacity building have involved Brazil, Canada, EU, South Africa, and the United States (e.g., programs Confap-EU, NSERC/Horizon). The partnership Confap-EU has engaged in mutual funding of research projects. However, matching funds from all involved countries are required, limiting participation of scientists from many all-Atlantic partner countries. A key impediment to coordinated research has been the requirement to work “in parallel”, which has led to issues in project codesign and execution of scientific research across the Atlantic12. For instance, the projects AQUAUP and BLUEWAYSE, recently implemented under the Sustainable Blue Economy Initiative (https://bluepartnership.eu/news/partnership-decides-first-batch-co-funded-projects), aim to develop microbiome-based solutions for animal feeding and sustainable aquaculture. However, these European initiatives still lack an all-Atlantic engagement. To achieve a sustainable blue bioeconomy, we strongly advocate for the establishment of coordinated international marine microbiome research efforts across the Atlantic Ocean. A focus area on marine microbiomes, similar to what has been accomplished on climate change and ocean observing (https://allatlanticocean.org/news/conclusions-from-the-2023-all-atlantic-ocean-research-and-innovation-alliance-forum/), and a strong network including all countries across the Atlantic Ocean will require investments in human capital, infrastructure, and research. We propose the development of bidirectional exchanges to support existing and new collaborative research partnerships. These exchanges may allow the identification of specific needs including shared resources and the development of new technologies. Capacity building programs may, for instance, focus on the development of artificial intelligence, new equipment and tools, and research focused on poorly characterized regions including the deep sea and corals reefs14, 15. Artificial intelligence applied on open science resources may allow relevant discoveries of novel microbial genes16. Existing programs across the Atlantic (e.g., FULBRIGHT and PROBRAL-CAPES) could prioritize marine microbiome. Marine microbiome research requires equipment that may be complex to operate and expensive for researchers in many countries. Developing agreements to facilitate sharing of infrastructure and its associated costs may help to address these challenges. Strong efforts are needed to reduce geographical sampling biases and increase temporal scales in microbiome research. An important aspect of increasing geographical coverage of data is to ensure that the required resources including technology, infrastructure, and data are accessible through partnerships17. Overall, the All-Atlantic Declaration presents a potential opportunity to go forward. It may underpin the development of strong STI projects, which may support international and interdisciplinary marine microbiome research to benefit the blue bioeconomy for all countries in the Atlantic. However, broad engagement needs to be promoted. The needed (inter)national financial mechanisms should be based on cocreation and codevelopment. Meanwhile, new agreements that would enable truly collaborative research across the Atlantic would facilitate resource sharing, make technologies more accessible, and permit sharing of infrastructure such as equipment or ships. Furthermore, research in the South has been seriously hampered by lack of funding. Cocreation and codevelopment entails participation not only in research funding but also in science and innovation from all nations, at all levels of government. Specific funding programs that close these gaps are required, and south governments need to invest in international bilaterial and multilateral programs. Funding needs to be targeted to support research in South and Central America and Africa if an embracing network inclusive of developing countries such as Brazil, Argentina, Colombia, the Dominican Republic, Ghana, Morocco, and South Africa is to be built. Tangible long-term commitments to fund marine microbiome projects are needed particularly in developing countries. F. T. and C. T. acknowledge funding support of CAPES, CNPQ, and FAPERJ. We thank Dr. Kelly D. Goodwin, NOAA Ocean Exploration, National Oceanic and Atmospheric Administration (NOAA), USA, for valuable comments on this article. The scientific results and conclusions, as well as any views or opinions expressed herein, are those of the author(s) and do not necessarily reflect those of NOAA/OAR or the Department of Commerce. TPM thanks the National Research Foundation (UID number 148867).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,243
Score d'incertitude au seuil0,996

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0140,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,242
Écart entre enseignants0,232 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2024
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revuemLifeMême sujetMicrobial Community Ecology and PhysiologyTravaux en français237 207