Competition between Granule Bound Starch Synthase and Starch Branching Enzyme in Starch Biosynthesis.

Biosynthesis Enzyme actions Rice Starch Structural characterization

Journal

Rice (New York, N.Y.)
ISSN: 1939-8425
Titre abrégé: Rice (N Y)
Pays: United States
ID NLM: 101503136

Informations de publication

Date de publication:
23 Dec 2019
Historique:
received: 13 07 2019
accepted: 29 11 2019
entrez: 25 12 2019
pubmed: 25 12 2019
medline: 25 12 2019
Statut: epublish

Résumé

Starch branching enzymes (SBE) and granule-bound starch synthase (GBSS) are two important enzymes for starch biosynthesis. SBE mainly contributes to the formation of side branches, and GBSS mainly contributes for the synthesis of amylose molecules. However, there are still gaps in the understanding of possible interactions between SBE and GBSS. Nineteen natural rice varieties with amylose contents up to 28% were used. The molecular structure, in the form of the chain-length distribution (CLDs, the distribution of the number of monomer units in each branch) was measured after enzymatic debranching, using fluorophore-assisted carbohydrate electrophoresis for amylopectin and size- exclusion chromatography for amylose. The resulting distributions were fitted to two mathematical models based on the underlying biosynthetic processes, which express the CLDs in terms of parameters reflecting relevant enzyme activities. Finding statistically valid correlations between the values of these parameters showed that GBSSI and SBEI compete for substrates during rice starch biosynthesis, and synthesis of amylose short chains involves several enzymes including GBSSI, SBE and SSS (soluble starch synthase). Since the amylose CLD is important for a number of functional properties such as digestion rate, this knowledge is potentially useful for developing varieties with improved functional properties.

Sections du résumé

BACKGROUND BACKGROUND
Starch branching enzymes (SBE) and granule-bound starch synthase (GBSS) are two important enzymes for starch biosynthesis. SBE mainly contributes to the formation of side branches, and GBSS mainly contributes for the synthesis of amylose molecules. However, there are still gaps in the understanding of possible interactions between SBE and GBSS.
RESULTS RESULTS
Nineteen natural rice varieties with amylose contents up to 28% were used. The molecular structure, in the form of the chain-length distribution (CLDs, the distribution of the number of monomer units in each branch) was measured after enzymatic debranching, using fluorophore-assisted carbohydrate electrophoresis for amylopectin and size- exclusion chromatography for amylose. The resulting distributions were fitted to two mathematical models based on the underlying biosynthetic processes, which express the CLDs in terms of parameters reflecting relevant enzyme activities.
CONCLUSIONS CONCLUSIONS
Finding statistically valid correlations between the values of these parameters showed that GBSSI and SBEI compete for substrates during rice starch biosynthesis, and synthesis of amylose short chains involves several enzymes including GBSSI, SBE and SSS (soluble starch synthase). Since the amylose CLD is important for a number of functional properties such as digestion rate, this knowledge is potentially useful for developing varieties with improved functional properties.

Identifiants

pubmed: 31872316
doi: 10.1186/s12284-019-0353-3
pii: 10.1186/s12284-019-0353-3
pmc: PMC6928174
doi:

Types de publication

Journal Article

Langues

eng

Pagination

96

Subventions

Organisme : Major International Joint Research Programme
ID : C1304013151101138
Organisme : Major International Joint Research Programme
ID : C1304013151101138
Organisme : Shanghai Agriculture Applied Technology Development Program
ID : G2016060101

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Auteurs

Huaxin Han (H)

Jiangsu Key Laboratory of Crop Genetics and Physiology, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009, People's Republic of China.
Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China.

Chuantian Yang (C)

Jiangsu Key Laboratory of Crop Genetics and Physiology, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009, People's Republic of China.
Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China.

Jihui Zhu (J)

Jiangsu Key Laboratory of Crop Genetics and Physiology, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009, People's Republic of China.
Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China.

Lixia Zhang (L)

Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China.

Yeming Bai (Y)

Centre for Nutrition & Food Sciences, Queensland Alliance for Agriculture & Food Innovations, The University of Queensland, QLD, Brisbane, 4072, Australia.

Enpeng Li (E)

Jiangsu Key Laboratory of Crop Genetics and Physiology, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009, People's Republic of China. lep@yzu.edu.cn.
Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China. lep@yzu.edu.cn.

Robert G Gilbert (RG)

Jiangsu Key Laboratory of Crop Genetics and Physiology, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009, People's Republic of China. b.gilbert@uq.edu.au.
Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China. b.gilbert@uq.edu.au.
Centre for Nutrition & Food Sciences, Queensland Alliance for Agriculture & Food Innovations, The University of Queensland, QLD, Brisbane, 4072, Australia. b.gilbert@uq.edu.au.

Classifications MeSH