Several recent models have addressed questions of this kind, either emphasizing the dynamics of partner variation in one-to-one interactions [ 10, 11], or that hosts will settle for mixed communities of symbionts dominated by an unambiguous mutualist [ 12- 14].
A model based on the underlying biology and biochemistry is a platform for in silico biological experimentation that can reveal the causal chain of events that connect variation in one quantity to variation in another.
If the model is based on the underlying biology and biochemistry, then it becomes a platform for in silico biological experimentation and it can also reveal the causal chain of events that connect variation in one quantity to variation in another.
The data indicated that variation in one of the SNPs was associated with level of response to alcohol, drinking behavior, and alcohol problems.
This means that any variation in one of them, will therefore affect the other.
However, in the majority of them, at least a variation in one of the investigated genes was observed.
Two complementary approaches were used to determine if the variation in one module was related to the variation in another one [ 50].
The second step was to consider how, within each group (WLA, PWK, F1 and F2) the variation in one module was related to variation in other modules.
Correlation analysis was used to determine whether there was a direct linear relationship between two variables, such that the variation in one data set corresponds to the variation in the other.
Our results suggest that these differences are likely to be attributable to variation in one or more of the factors included in the final regression model (stand density, stand age, understory density, stand slope).
Such variation in one ecotype might be due to phenotypic noise [ 16, 17].
