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A Systems Biology approach towards u...

Naik, Punith Pavoor.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Systems Biology approach towards understanding the Regulation of Monolignol Biosynthesis in Populus trichocharpa./
Author:	Naik, Punith Pavoor.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	204 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:	Dissertation Abstracts International78-08B(E).
Subject:	Applied mathematics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10583511
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. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 204 p.

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

Thesis (Ph.D.)--North Carolina State University, 2016.

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.).

ISBN: 9781369621907Subjects--Topical Terms:

2122814
Applied mathematics.

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