ReviewFEMS microbiology letters2012
Modeling microbial community structure and functional diversity across time and space.
Review in FEMS microbiology letters, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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
10 citing papers in PubMed.
- How Microbes Shape Their Communities? A Microbial Community Model Based on Functional Genes.Genomics, proteomics & bioinformatics · 2019Article
- Taxonomic and Functional Metagenomic Profile of Sediment From a Commercial Catfish Pond in Mississippi.Frontiers in microbiology · 2018Article
- Differential signal sensitivities can contribute to the stability of multispecies bacterial communities.Biology direct · 2017Article
- Flavor Profile of Chinese Liquor Is Altered by Interactions of Intrinsic and Extrinsic Microbes.Applied and environmental microbiology · 2016Article
- Gene-centric approach to integrating environmental genomics and biogeochemical models.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Article
- Quantitative imaging in cancer evolution and ecology.Radiology · 2013Review
- Stability of multispecies bacterial communities: signaling networks may stabilize microbiomes.PloS one · 2013Article
- The effect of primer choice and short read sequences on the outcome of 16S rRNA gene based diversity studies.PloS one · 2013Article
- Quantifying species diversity with a DNA barcoding-based method: Tibetan moth species (Noctuidae) on the Qinghai-Tibetan Plateau.PloS one · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Microbial communities exhibit exquisitely complex structure. Many aspects of this complexity, from the number of species to the total number of interactions, are currently very difficult to examine directly. However, extraordinary efforts are being made to make these systems accessible to scientific investigation. While recent advances in high-throughput sequencing technologies have improved accessibility to the taxonomic and functional diversity of complex communities, monitoring the dynamics of these systems over time and space - using appropriate experimental design - is still expensive. Fortunately, modeling can be used as a lens to focus low-resolution observations of community dynamics to enable mathematical abstractions of functional and taxonomic dynamics across space and time. Here, we review the approaches for modeling bacterial diversity at both the very large and the very small scales at which microbial systems interact with their environments. We show that modeling can help to connect biogeochemical processes to specific microbial metabolic pathways.
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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.