TY - JOUR
T1 - The Landscape of Evolution
T2 - Reconciling Structural and Dynamic Properties of Metabolic Networks in Adaptive Diversifications
AU - Morrison, Erin S.
AU - Badyaev, Alexander V.
N1 - Funding Information:
This work was supported by the grants from the National Science Foundation (DEB-1256375), the Packard Foundation Fellowship, Galileo Scholarship, and Amherst College graduate fellowships.
Publisher Copyright:
© 2016 The Author 2016. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - The network of the interactions among genes, proteins, and metabolites delineates a range of potential phenotypic diversifications in a lineage, and realized phenotypic changes are the result of differences in the dynamics of the expression of the elements and interactions in this deterministic network. Regulatory mechanisms, such as hormones, mediate the relationship between the structural and dynamic properties of networks by determining how and when the elements are expressed and form a functional unit or state. Changes in regulatory mechanisms lead to variable expression of functional states of a network within and among generations. Functional properties of network elements, and the magnitude and direction of evolutionary change they determine, depend on their location within a network. Here, we examine the relationship between network structure and the dynamic mechanisms that regulate flux through a metabolic network. We review the mechanisms that control metabolic flux in enzymatic reactions and examine structural properties of the network locations that are targets of flux control. We aim to establish a predictive framework to test the contributions of structural and dynamic properties of deterministic networks to evolutionary diversifications.
AB - The network of the interactions among genes, proteins, and metabolites delineates a range of potential phenotypic diversifications in a lineage, and realized phenotypic changes are the result of differences in the dynamics of the expression of the elements and interactions in this deterministic network. Regulatory mechanisms, such as hormones, mediate the relationship between the structural and dynamic properties of networks by determining how and when the elements are expressed and form a functional unit or state. Changes in regulatory mechanisms lead to variable expression of functional states of a network within and among generations. Functional properties of network elements, and the magnitude and direction of evolutionary change they determine, depend on their location within a network. Here, we examine the relationship between network structure and the dynamic mechanisms that regulate flux through a metabolic network. We review the mechanisms that control metabolic flux in enzymatic reactions and examine structural properties of the network locations that are targets of flux control. We aim to establish a predictive framework to test the contributions of structural and dynamic properties of deterministic networks to evolutionary diversifications.
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U2 - 10.1093/icb/icw026
DO - 10.1093/icb/icw026
M3 - Article
C2 - 27252203
AN - SCOPUS:84991670371
SN - 1540-7063
VL - 56
SP - 235
EP - 246
JO - Integrative and comparative biology
JF - Integrative and comparative biology
IS - 2
ER -