Biological monitoring of environmental quality: The use of developmental instability
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Abstract
Distributed robustness is thought to influence the buffering of random phenotypic variation through the scale-free topology of gene regulatory, metabolic, and protein-protein interaction networks. If this hypothesis is true, then the phenotypic response to the perturbation of particular nodes in such a network should be proportional to the number of links those nodes make with neighboring nodes. This suggests a probability distribution approximating an inverse power-law of random phenotypic variation. Zero phenotypic variation, however, is impossible, because random molecular and cellular processes are essential to normal development. Consequently, a more realistic distribution should have a y-intercept close to zero in the lower tail, a mode greater than zero, and a long (fat) upper tail. The double Pareto-lognormal (DPLN) distribution is an ideal candidate distribution. It consists of a mixture of a lognormal body and upper and lower power-law tails.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Biological monitoring of environmental quality: The use of developmental instability |
| Series title | Journal of Environmental Engineering |
| Volume | 4 |
| Year Published | 1994 |
| Language | English |
| Contributing office(s) | Western Fisheries Research Center |
| Description | 6 p. |
| First page | 6 |
| Last page | 11 |
| Google Analytic Metrics | Metrics page |