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The technique offers a way for microbial ecologists to watch nutrient flow in real time in the field and forge clearer connections between organisms and the ecological functions they serve.
This data gush has forced computational microbial ecologists to re-factor software tools to make the analysis of these datasets feasible.
The wealth of community genomic information allows microbial ecologists to explore the enormous genetic diversity contained within different microbial habitats.
Given the abundance of phages and potential impact of phage-mediated selection on bacterial populations, there is growing interest among microbial ecologists to understand the coevolutionary processes underlying interactions between bacteria and lytic phages.
As trees allow microbial ecologists to assign 16S rRNA gene sequences to phyla, genera and occasionally species, and reveal previously unknown groups, diversity became a central theme in microbial ecology.
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The answers of the evolutionary microbiologist and microbial ecologist to these three questions illustrate differences in their theoretical frameworks.
One of the main goals of microbial ecologists is to assess the contribution of distinct bacterial groups to biogeochemical processes, e.g. carbon cycling.
As microbial ecologists continue to generate massive data sets, it is important to continually refine and validate every step in the analysis pipeline.
Many microbial ecologists need to align all the ss-rRNA gene sequences in one or more communities to each other for further analysis such as tree building for a whole community.
The work, by David Quist and Ignacio Chapela, microbial ecologists at the University of California, Berkeley, explores the extent to which genes are exchanged between industrial crops and their wild relatives.
Simrank's utility to molecular microbial ecologists will continue to grow concomitant with the size of sequence datasets.
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