
Microbial ecology is currently undergoing a revolution, with repercussions spreading throughout microbiology, ecology and ecosystem science. The rapid accumulation of molecular data is uncovering vast diversity, abundant uncultivated microbial groups and novel microbial functions. This accumulation of data requires the application of theory to provide organization, structure, mechanistic insight and, ultimately, predictive power that is of practical value, but the application of theory in microbial ecology is currently very limited. Here we argue that the full potential of the ongoing revolution will not be realized if research is not directed and driven by theory, and that the generality of established ecological theory must be tested using microbial systems.
570, Geologic Sediments, microbial growth, Systems Theory, microbial ecology, Sulfolobus, Species Specificity, C500 - Microbiology, ecological niche, species richness, molecular phylogeny, Ecosystem, nonhuman, Bacteria, Ecology, species habitat, article, 500, microbial metabolism, priority journal, species endemicity, microbial diversity, C180 - Ecology, microflora, ecology, Water Microbiology
570, Geologic Sediments, microbial growth, Systems Theory, microbial ecology, Sulfolobus, Species Specificity, C500 - Microbiology, ecological niche, species richness, molecular phylogeny, Ecosystem, nonhuman, Bacteria, Ecology, species habitat, article, 500, microbial metabolism, priority journal, species endemicity, microbial diversity, C180 - Ecology, microflora, ecology, Water Microbiology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 866 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
