ReviewGlobal change biology2016
Bridging the gap between omics and earth system science to better understand how environmental change impacts marine microbes.
Review in Global change biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Genome-scale metabolic modelling reveals interactions and key roles of symbiont clades in a sponge holobiont.Nature communications · 2024Article
- Article
- Rapid evolution allows coexistence of highly divergent lineages within the same niche.Ecology letters · 2022Article
- Diatoms and Their Microbiomes in Complex and Changing Polar Oceans.Frontiers in microbiology · 2022Review
- Towards omics-based predictions of planktonic functional composition from environmental data.Nature communications · 2021Article
- Linking regional shifts in microbial genome adaptation with surface ocean biogeochemistry.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Rhodoliths holobionts in a changing ocean: host-microbes interactions mediate coralline algae resilience under ocean acidification.BMC genomics · 2018Article
- Short-Term Transcriptional Response of Microbial Communities to Nitrogen Fertilization in a Pine Forest Soil.Applied and environmental microbiology · 2018Article
- Agulhas Current properties shape microbial community diversity and potential functionality.Scientific reports · 2018Article
- A genomic perspective on stoichiometric regulation of soil carbon cycling.The ISME journal · 2017Article
- Linking Compositional and Functional Predictions to Decipher the Biogeochemical Significance in DFAA Turnover of Abundant Bacterioplankton Lineages in the North Sea.Microorganisms · 2017Article
- Depth perception: the need to report ocean biogeochemical rates as functions of temperature, not depth.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The advent of genomic-, transcriptomic- and proteomic-based approaches has revolutionized our ability to describe marine microbial communities, including biogeography, metabolic potential and diversity, mechanisms of adaptation, and phylogeny and evolutionary history. New interdisciplinary approaches are needed to move from this descriptive level to improved quantitative, process-level understanding of the roles of marine microbes in biogeochemical cycles and of the impact of environmental change on the marine microbial ecosystem. Linking studies at levels from the genome to the organism, to ecological strategies and organism and ecosystem response, requires new modelling approaches. Key to this will be a fundamental shift in modelling scale that represents micro-organisms from the level of their macromolecular components. This will enable contact with omics data sets and allow acclimation and adaptive response at the phenotype level (i.e. traits) to be simulated as a combination of fitness maximization and evolutionary constraints. This way forward will build on ecological approaches that identify key organism traits and systems biology approaches that integrate traditional physiological measurements with new insights from omics. It will rely on developing an improved understanding of ecophysiology to understand quantitatively environmental controls on microbial growth strategies. It will also incorporate results from experimental evolution studies in the representation of adaptation. The resulting ecosystem-level models can then evaluate our level of understanding of controls on ecosystem structure and function, highlight major gaps in understanding and help prioritize areas for future research programs. Ultimately, this grand synthesis should improve predictive capability of the ecosystem response to multiple environmental drivers.
Indexed as
Identifiers
What OpenQuestion holds
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.