Systems Biology of Phenotypic Robustness and Plasticity.

dc.contributor.author

Nijhout, H Frederik

dc.contributor.author

Sadre-Marandi, Farrah

dc.contributor.author

Best, Janet

dc.contributor.author

Reed, Michael C

dc.coverage.spatial

England

dc.date.accessioned

2017-12-17T13:10:21Z

dc.date.available

2017-12-17T13:10:21Z

dc.date.issued

2017-08-01

dc.description.abstract

SYNOPSIS: Gene regulatory networks, cellular biochemistry, tissue function, and whole body physiology are imbued with myriad overlapping and interacting homeostatic mechanisms that ensure that many phenotypes are robust to genetic and environmental variation. Animals also often have plastic responses to environmental variables, which means that many different phenotypes can correspond to a single genotype. Since natural selection acts on phenotypes, this raises the question of how selection can act on the genome if genotypes are decoupled from phenotypes by robustness and plasticity mechanisms. The answer can be found in the systems biology of the homeostatic mechanisms themselves. First, all such mechanisms operate over a limited range and outside that range the controlled variable changes rapidly allowing natural selection to act. Second, mutations and environmental stressors can disrupt homeostatic mechanisms, exposing cryptic genetic variation and allowing natural selection to act. We illustrate these ideas by examining the systems biology of four specific examples. We show how it is possible to analyze and visualize the roles of specific genes and specific polymorphisms in robustness in the context of large and realistic nonlinear systems. We also describe a new method, system population models, that allows one to connect causal dynamics to the variable outcomes that one sees in biological populations with large variation.

dc.identifier

https://www.ncbi.nlm.nih.gov/pubmed/28859407

dc.identifier

3966723

dc.identifier.eissn

1557-7023

dc.identifier.uri

https://hdl.handle.net/10161/15899

dc.language

eng

dc.publisher

Oxford University Press (OUP)

dc.relation.ispartof

Integr Comp Biol

dc.relation.isversionof

10.1093/icb/icx076

dc.title

Systems Biology of Phenotypic Robustness and Plasticity.

dc.type

Journal article

duke.contributor.orcid

Nijhout, H Frederik|0000-0001-5436-5345

pubs.author-url

https://www.ncbi.nlm.nih.gov/pubmed/28859407

pubs.begin-page

171

pubs.end-page

184

pubs.issue

2

pubs.organisational-group

Biology

pubs.organisational-group

Duke

pubs.organisational-group

Mathematics

pubs.organisational-group

Temp group - logins allowed

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.publication-status

Published

pubs.volume

57

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
17phenoRobustness.pdf
Size:
877.79 KB
Format:
Adobe Portable Document Format