ArticleThe ISME journal2017
Metagenomic covariation along densely sampled environmental gradients in the Red Sea.
Article in The ISME journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed.
- Sulfur Cycling and Life Strategies in Successional Biocrusts Link to Biomass Carbon in Dryland Ecosystems.Microorganisms · 2025Article
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- Microbiota dynamics in lionfish (Pterois): insights into invasion and establishment in the Mediterranean Sea.Frontiers in microbiology · 2025Article
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- Increased prokaryotic diversity in the Red Sea deep scattering layer.Environmental microbiome · 2023Article
- Characterization of the Environmental Plasmidome of the Red Sea.Microbiology spectrum · 2023Article
- Abiotic selection of microbial genome size in the global ocean.Nature communications · 2023Article
- Trait biases in microbial reference genomes.Scientific data · 2023Article
- Polyhydroxybutyrate (PHB)-Based Biodegradable Polymer fromPolymers · 2022Article
- Bacterial and Protistan Community Variation across the Changjiang Estuary to the Ocean with Multiple Environmental Gradients.Microorganisms · 2022Article
- Dynamics in Bacterial Community Affected by Mesoscale Eddies in the Northern Slope of the South China Sea.Microbial ecology · 2022Article
- High-Frequency Variability of Bacterioplankton in Response to Environmental Drivers in Red Sea Coastal Waters.Frontiers in microbiology · 2022Article
- Influence of hydrological factors on bacterial community structure in a tropical monsoonal estuary in India.Environmental science and pollution research international · 2021Article
- Article
- Metagenomic Analysis Reveals Microbial Community Structure and Metabolic Potential for Nitrogen Acquisition in the Oligotrophic Surface Water of the Indian Ocean.Frontiers in microbiology · 2021Article
- Genomes of the "mSystems · 2020Article
- Sequencing effort dictates gene discovery in marine microbial metagenomes.Environmental microbiology · 2020Article
- Bioplastic (poly-3-hydroxybutyrate) production by the marine bacterium Pseudodonghicola xiamenensis through date syrup valorization and structural assessment of the biopolymer.Scientific reports · 2020Article
- Article
- Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oceanic microbial diversity covaries with physicochemical parameters. Temperature, for example, explains approximately half of global variation in surface taxonomic abundance. It is unknown, however, whether covariation patterns hold over narrower parameter gradients and spatial scales, and extending to mesopelagic depths. We collected and sequenced 45 epipelagic and mesopelagic microbial metagenomes on a meridional transect through the eastern Red Sea. We asked which environmental parameters explain the most variation in relative abundances of taxonomic groups, gene ortholog groups, and pathways-at a spatial scale of <2000 km, along narrow but well-defined latitudinal and depth-dependent gradients. We also asked how microbes are adapted to gradients and extremes in irradiance, temperature, salinity, and nutrients, examining the responses of individual gene ortholog groups to these parameters. Functional and taxonomic metrics were equally well explained (75-79%) by environmental parameters. However, only functional and not taxonomic covariation patterns were conserved when comparing with an intruding water mass with different physicochemical properties. Temperature explained the most variation in each metric, followed by nitrate, chlorophyll, phosphate, and salinity. That nitrate explained more variation than phosphate suggested nitrogen limitation, consistent with low surface N:P ratios. Covariation of gene ortholog groups with environmental parameters revealed patterns of functional adaptation to the challenging Red Sea environment: high irradiance, temperature, salinity, and low nutrients. Nutrient-acquisition gene ortholog groups were anti-correlated with concentrations of their respective nutrient species, recapturing trends previously observed across much larger distances and environmental gradients. This dataset of metagenomic covariation along densely sampled environmental gradients includes online data exploration supplements, serving as a community resource for marine microbial ecology.
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