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Notably, many microbial ecologists using these tools are not formally trained in phylogenetics or comparative sequence analysis.
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In this review, we present the most advanced tools that microbial ecologists can use for the study of microbial communities.
While process design in biotechnology often rests on the relationship between microbial yield and the degree of reduction of the substrates, microbial ecologists have not used this relationship frequently, at least in part, because of the difficulty of measuring the elemental composition of DOC [60].
Psychologists and behavioural ecologists use neophobia tests to measure behaviours ranging from anxiety to predatory wariness.
Statistical models help ecologists use the patterns they find in their data to make predictions.
These results suggest that soil ecologists use more parsimoniously modelling and evolutionary approaches than ecologists of other fields.
Conservation biologists and molecular ecologists use pedigree analysis to gain insight into the mating habits of populations.
Biologists and ecologists used clustering to classify genes [ 68, 76] and ecological components [ 81, 90] within their studies.
The extensive diversity at or below the species level, as we have just seen, is not yet well captured by the main methods used by microbial ecologists.
MSR has been widely used by soil microbial ecologists as a proxy to measure adaptation (e.g. ref [ 4, 5, 20]) and quantify carbon use efficiency.
One of the most useful has proven to be the community profiling technique known as denaturing gradient gel electrophoresis (DGGE), a method used extensively by microbial ecologists for the study of environmental communities [18], [19].
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