ArticlePeerJ2015
Niche distribution and influence of environmental parameters in marine microbial communities: a systematic review.
Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Microbiota dynamics in lionfish (Pterois): insights into invasion and establishment in the Mediterranean Sea.Frontiers in microbiology · 2025Article
- Limited Microbial Contribution in Salt Lake Sediment and Water to Each Other's Microbial Communities.Microorganisms · 2024Article
- Disentangling microbial networks across pelagic zones in the tropical and subtropical global ocean.Nature communications · 2024Article
- The effect of periodic disturbances and carrying capacity on the significance of selection and drift in complex bacterial communities.ISME communications · 2021Article
- Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity.Microorganisms · 2021Article
- High-throughput molecular analyses of microbiomes as a tool to monitor the wellbeing of aquatic environments.Microbial biotechnology · 2021Review
- 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
- A network approach to elucidate and prioritize microbial dark matter in microbial communities.The ISME journal · 2021Article
- Composition and Seasonality of Membrane Transporters in Marine Picoplankton.Frontiers in microbiology · 2021Article
- Identification of Complex Rumen Microbiome Interaction Within Diverse Functional Niches as Mechanisms Affecting the Variation of Methane Emissions in Bovine.Frontiers in microbiology · 2020Article
- Differential Response of Cafeteria roenbergensis to Different Bacterial and Archaeal Prey Characteristics.Microbial ecology · 2019Article
- Distribution Patterns of Microbial Community Structure Along a 7000-Mile Latitudinal Transect from the Mediterranean Sea Across the Atlantic Ocean to the Brazilian Coastal Sea.Microbial ecology · 2018Article
- Viral and metabolic controls on high rates of microbial sulfur and carbon cycling in wetland ecosystems.Microbiome · 2018Article
- Optimizing and evaluating the reconstruction of Metagenome-assembled microbial genomes.BMC genomics · 2017Article
- Marine viruses discovered via metagenomics shed light on viral strategies throughout the oceans.Nature communications · 2017Article
- Metagenomic Analysis of the Indian Ocean Picocyanobacterial Community: Structure, Potential Function and Evolution.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Associations between microorganisms occur extensively throughout Earth's oceans. Understanding how microbial communities are assembled and how the presence or absence of species is related to that of others are central goals of microbial ecology. Here, we investigate co-occurrence associations between marine prokaryotes by combining 180 new and publicly available metagenomic datasets from different oceans in a large-scale meta-analysis. A co-occurrence network was created by calculating correlation scores between the abundances of microorganisms in metagenomes. A total of 1,906 correlations amongst 297 organisms were detected, segregating them into 11 major groups that occupy distinct ecological niches. Additionally, by analyzing the oceanographic parameters measured for a selected number of sampling sites, we characterized the influence of environmental variables over each of these 11 groups. Clustering organisms into groups of taxa that have similar ecology, allowed the detection of several significant correlations that could not be observed for the taxa individually.
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.