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A Systems Biology approach towards understanding the Regulation of Monolignol Biosynthesis in Populus trichocharpa.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	A Systems Biology approach towards understanding the Regulation of Monolignol Biosynthesis in Populus trichocharpa./
Author:	Naik, Punith Pavoor.
Description:	1 online resource (204 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:	Dissertation Abstracts International78-08B(E).
Subject:	Applied mathematics. -
Online resource:	click for full text (PQDT)
ISBN:	9781369621907

A Systems Biology approach towards understanding the Regulation of Monolignol Biosynthesis in Populus trichocharpa.
Naik, Punith Pavoor.

A Systems Biology approach towards understanding the Regulation of Monolignol Biosynthesis in Populus trichocharpa. - 1 online resource (204 pages)

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Lignin is the most abundant polymer after cellulose and hemicelluloses found naturally in the secondary cell walls of all vascular plant. Lignin is entangled with cellulose and hemicelluloses forming an impermeable matrix. The primary purpose of lignin is to transport nutrients, provide protection against pathogens and provide upright support. With the recent push towards utilization of plant biomass as a source of biofuel, the rigidity of lignin unfortunately acts as a barrier in the utilization of high energy sugars like hemicellulose and cellulose. With the advancement in high throughput technologies, the biosynthetic pathway of monolignol continues to be experimentally characterized. However, since most of the biological networks are characterized by highly non-linear interactions with multiple substrates competing with multifunction enzymes and proteins interacting with each other forming complexes, it may be challenging to predict the effect of genetic perturbations on the monolignol biosynthetic pathway. This gap in knowledge could be filled with the development of mathematical modeling that characterizes these non-linear interactions. The overall objective of this research was to develop mathematical models to enhance the understanding of monolignol biosynthesis in Populus trichocharpa. These novel mathematical models can then be used to predict the effect of genetic perturbations on the monolignol biosynthetic pathway, especially the lignin content and structure. The models can also be used to gain insights about regulatory control, generate testable hypotheses, and genetically engineer plants with desired lignin content and structure after experimental validation. (Abstract shortened by ProQuest.).

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369621907Subjects--Topical Terms:

1069907
Applied mathematics.
Index Terms--Genre/Form:

554714
Electronic books.

A Systems Biology approach towards understanding the Regulation of Monolignol Biosynthesis in Populus trichocharpa.
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504 $a Includes bibliographical references
520 $a Lignin is the most abundant polymer after cellulose and hemicelluloses found naturally in the secondary cell walls of all vascular plant. Lignin is entangled with cellulose and hemicelluloses forming an impermeable matrix. The primary purpose of lignin is to transport nutrients, provide protection against pathogens and provide upright support. With the recent push towards utilization of plant biomass as a source of biofuel, the rigidity of lignin unfortunately acts as a barrier in the utilization of high energy sugars like hemicellulose and cellulose. With the advancement in high throughput technologies, the biosynthetic pathway of monolignol continues to be experimentally characterized. However, since most of the biological networks are characterized by highly non-linear interactions with multiple substrates competing with multifunction enzymes and proteins interacting with each other forming complexes, it may be challenging to predict the effect of genetic perturbations on the monolignol biosynthetic pathway. This gap in knowledge could be filled with the development of mathematical modeling that characterizes these non-linear interactions. The overall objective of this research was to develop mathematical models to enhance the understanding of monolignol biosynthesis in Populus trichocharpa. These novel mathematical models can then be used to predict the effect of genetic perturbations on the monolignol biosynthetic pathway, especially the lignin content and structure. The models can also be used to gain insights about regulatory control, generate testable hypotheses, and genetically engineer plants with desired lignin content and structure after experimental validation. (Abstract shortened by ProQuest.).
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