ArticleMicrobiome2024
Decoding populations in the ocean microbiome.
Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed.
- The Biotechnological Applications of Marine Bacteria.Biology · 2026Review
- Salinity-driven adaptations and evolution of DNA viruses in estuarine-coastal ecosystems.mSystems · 2026Article
- Metagenome-based vertical profiling of the Gulf of Mexico highlights its uniqueness and far-reaching effects of freshwater input.Applied and environmental microbiology · 2026Article
- Exploring the Environmental Resistome and Bacterial Novelty in Marine Isolates from the North Portuguese Coast.Antibiotics (Basel, Switzerland) · 2026Article
- Dietary rayon microfibers differentially reshape rearing water and host associated microbiomes of farmed European sea bass (Dicentrarchus labrax).Environmental microbiome · 2026Article
- Ocean-M: an integrated global-scale multi-omics database for marine microbial diversity, function and ecological interactions.Nucleic acids research · 2026Article
- Probing the habitability of potential sulfuric acid rich subsurface lakes in Europa's ice shell viaFrontiers in microbiology · 2026Article
- Divergent Driving Mechanisms Shape the Temporal Dynamics of Benthic Prokaryotic and Eukaryotic Microbial Communities in Coastal Subtidal Zones.Microorganisms · 2025Article
- Clinical marine biomedicine: An emerging area in clinical and translational medicine.Clinical and translational medicine · 2025Article
- Microbial functional diversity and redundancy: moving forward.FEMS microbiology reviews · 2025Review
- Screening strategies and production of biosurfactants (BSs)/bioemulsifiers (BEs) from marine yeasts and fungi.AIMS microbiology · 2025Review
- The contribution of antimicrobials and antimicrobial resistance to climate change and a possible way to reverse it whilst still offering high quality healthcare-a conceptual analysis.Frontiers in public health · 2025Review
- Evaluating biocide efficacy in mixed-species biofilms: insights from a dual anaerobic biofilm reactor.Npj Materials degradation · 2025Article
- Review
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Understanding the characteristics and structure of populations is fundamental to comprehending ecosystem processes and evolutionary adaptations. While the study of animal and plant populations has spanned a few centuries, microbial populations have been under scientific scrutiny for a considerably shorter period. In the ocean, analyzing the genetic composition of microbial populations and their adaptations to multiple niches can yield important insights into ecosystem function and the microbiome's response to global change. However, microbial populations have remained elusive to the scientific community due to the challenges associated with isolating microorganisms in the laboratory. Today, advancements in large-scale metagenomics and metatranscriptomics facilitate the investigation of populations from many uncultured microbial species directly from their habitats. The knowledge acquired thus far reveals substantial genetic diversity among various microbial species, showcasing distinct patterns of population differentiation and adaptations, and highlighting the significant role of selection in structuring populations. In the coming years, population genomics is expected to significantly increase our understanding of the architecture and functioning of the ocean microbiome, providing insights into its vulnerability or resilience in the face of ongoing global change. Video Abstract.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.