Rational identification of target enzymes for starch improvement through system-level analysis of a potato tuber model

In this study, identification of target enzymes for starch improvement through system-level analysis of a potato tuber model is presented. A kinetic model representing the conversion of sucrose to starch in potato tubers was employed. This model was used to predict the percentage of amylose content...

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Main Authors: Liamwirat C., Cheevadhanarak S., Netrphan S., Chaijaruwanich J., Bhumiratana S., Meechai A.
Format: Article
Language:English
Published: Southern Cross Publishing and Printing Pty Ltd 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-84904617388&partnerID=40&md5=35aeac816b6c114256c560f874521970
http://cmuir.cmu.ac.th/handle/6653943832/4906
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-49062014-08-30T02:55:56Z Rational identification of target enzymes for starch improvement through system-level analysis of a potato tuber model Liamwirat C. Cheevadhanarak S. Netrphan S. Chaijaruwanich J. Bhumiratana S. Meechai A. In this study, identification of target enzymes for starch improvement through system-level analysis of a potato tuber model is presented. A kinetic model representing the conversion of sucrose to starch in potato tubers was employed. This model was used to predict the percentage of amylose content (AC%) and starch content in potato tubers in response to perturbations of enzyme activities. The predicted AC% (23%) was found to be in the range of the actual AC% reported in literature. The model could satisfactorily predict the response trend to down-regulation of enzymes on the starch content and AC% (Pearson's correlation coefficients > 0.9). To identify the target enzymes, the sensitivity of starch content and AC% to changes in the activity of each enzyme within the model was assessed by sensitivity analysis. The enzymes identified as targets were those to which starch content and AC% were found to be highly sensitive. The analysis revealed that the targets for increasing the starch content in potato tubers were inorganic pyrophosphatase (iPPtase), starch synthase (SS), granule-bound starch synthase (GBSS), and ADP-glucose pyrophosphorylase. Also, SS and GBSS were found to be targets for altering AC%. By dual perturbation studies, the increase of activities of both iPPtase and SS simultaneously was found to further improve the starch content. In addition, the model was applied to predict relative changes in tuber metabolite profiles to infer physiological changes of metabolically-engineered tubers. The suggested target enzymes and inferred tuber physiology are useful guidelines for rational metabolic engineering towards starch improvement in potatoes. 2014-08-30T02:55:56Z 2014-08-30T02:55:56Z 2014 Article 18352707 http://www.scopus.com/inward/record.url?eid=2-s2.0-84904617388&partnerID=40&md5=35aeac816b6c114256c560f874521970 http://cmuir.cmu.ac.th/handle/6653943832/4906 English Southern Cross Publishing and Printing Pty Ltd
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description In this study, identification of target enzymes for starch improvement through system-level analysis of a potato tuber model is presented. A kinetic model representing the conversion of sucrose to starch in potato tubers was employed. This model was used to predict the percentage of amylose content (AC%) and starch content in potato tubers in response to perturbations of enzyme activities. The predicted AC% (23%) was found to be in the range of the actual AC% reported in literature. The model could satisfactorily predict the response trend to down-regulation of enzymes on the starch content and AC% (Pearson's correlation coefficients > 0.9). To identify the target enzymes, the sensitivity of starch content and AC% to changes in the activity of each enzyme within the model was assessed by sensitivity analysis. The enzymes identified as targets were those to which starch content and AC% were found to be highly sensitive. The analysis revealed that the targets for increasing the starch content in potato tubers were inorganic pyrophosphatase (iPPtase), starch synthase (SS), granule-bound starch synthase (GBSS), and ADP-glucose pyrophosphorylase. Also, SS and GBSS were found to be targets for altering AC%. By dual perturbation studies, the increase of activities of both iPPtase and SS simultaneously was found to further improve the starch content. In addition, the model was applied to predict relative changes in tuber metabolite profiles to infer physiological changes of metabolically-engineered tubers. The suggested target enzymes and inferred tuber physiology are useful guidelines for rational metabolic engineering towards starch improvement in potatoes.
format Article
author Liamwirat C.
Cheevadhanarak S.
Netrphan S.
Chaijaruwanich J.
Bhumiratana S.
Meechai A.
spellingShingle Liamwirat C.
Cheevadhanarak S.
Netrphan S.
Chaijaruwanich J.
Bhumiratana S.
Meechai A.
Rational identification of target enzymes for starch improvement through system-level analysis of a potato tuber model
author_facet Liamwirat C.
Cheevadhanarak S.
Netrphan S.
Chaijaruwanich J.
Bhumiratana S.
Meechai A.
author_sort Liamwirat C.
title Rational identification of target enzymes for starch improvement through system-level analysis of a potato tuber model
title_short Rational identification of target enzymes for starch improvement through system-level analysis of a potato tuber model
title_full Rational identification of target enzymes for starch improvement through system-level analysis of a potato tuber model
title_fullStr Rational identification of target enzymes for starch improvement through system-level analysis of a potato tuber model
title_full_unstemmed Rational identification of target enzymes for starch improvement through system-level analysis of a potato tuber model
title_sort rational identification of target enzymes for starch improvement through system-level analysis of a potato tuber model
publisher Southern Cross Publishing and Printing Pty Ltd
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84904617388&partnerID=40&md5=35aeac816b6c114256c560f874521970
http://cmuir.cmu.ac.th/handle/6653943832/4906
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