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Huber, J. A. et al. Microbial population structures in the deep marine biosphere.
Huse, S. M. et al. VAMPS: a website for visualization and analysis of microbial population structures.
Included in its activities is Visual Analysis of Microbial Population Structures (VAMPS) at http://vamps.mbl.edu.edu
Tag sequences are publicly available online through the visualization and analysis of microbial population structures (VAMPS) project of the Marine Biological Laboratory, Woods Hole, Massachusetts (http://vamps.mbl.edu).edu
All amplicon datasets were downloaded from the Visualization and Analysis of Microbial Population Structures database (https://vamps.mbl.edu) and analyzed using the same methods as those applied on the SCS sample (i.e., using SILVA-ngs to generate OTUs and identify taxonomy; using Mothur to estimate diversity indices by resampling with 1000 iterations).
As previous studies found that not only local environmental factors like sunlight, sea depth and substrate inclination but also seasons could exert a strong influence on the structural and functional biodiversity of coral benthic communities [ 36], our data demonstrated season could impact different microbial population structures and functions.
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High resolution melting analysis (HRM) from Phase 3 indicated that intermittent supply of electric field caused a shift in the microbial population structure in a wastewater bioreactor, while no shift in microbial community population structure was observed in reactors supplied with constant current densities.
Although the soil microbial population structure could be restored after fumigation, the microbial richness and diversity can not be restored to the original state.
For each of these process conditions, the typical microbial population structure and active key players are identified (e.g. Figures 1 and 2 for methanogenic Archaea), and the population structure of the given process is compared with the established microbial population structure and activity 'benchmarks'benchmarks
Significant and rapid changes in substrate composition and particularly of the process temperature should be avoided since the microbial population structure is self-optimizing to the given conditions and environment.
Here we integrate four years of field-based geochemical data with 16S rRNA gene clone libraries and rRNA probe-based studies of microbial population structure, cultivation-based metabolic experiments, arsenopyrite surface colonization experiments, and results of intermediate sulfur species kinetics experiments to describe the Richmond Mine AMD system.
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