Periodic changes in chain lengths distribution parameters of wheat starch during endosperm development

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This study analyzed the molecular structure of developing wheat endosperm starch at different stages after anthesis (DAA) using chain length distribution analysis by size exclusion chromatography (SEC) and fluorophore-assisted carbohydrate electrophoresis. Our results revealed periodic changes in the content of both amylose and amylopectin fractions. Specifically, the content of amylose chains with a degree of polymerization (DP) > 100 significantly decreased from 5 to 10 DAA (28% to 21%) and from 15 to 20 DAA (29% to 26%), but increased between 10 and 15 DAA (21% to 29%) and 20 to 25 DAA (30.0% to 33%). Conversely, the content of short amylopectin chains with DP ≤ 32 showed the opposite trend. Interestingly, mRNA expression levels of key starch biosynthesis genes did not exhibit periodic changes. These findings contribute to our understanding of starch biosynthesis and provide important insights for the development of starch-based products.
OriginalsprogEngelsk
Artikelnummer136455
TidsskriftFood Chemistry
Vol/bind424
Antal sider9
ISSN0308-8146
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
This work was supported Natural Science Foundation of Jiangsu Province (BK20191407), and NSFC (31871617), Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (19KJA520001) and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). Dr. Zhong also would like to thank the China Scholarship Council (CSC) funding for his PhD studies at University of Copenhagen (UCPH), Denmark. S.P. acknowledges Villum Investigator (Project ID: 25915), DNRF Chair (DNRF155) and Novo Nordisk Laureate (NNF19OC0056076), Novo Nordisk Emerging Investigator (NNF20OC0060564) and Lundbeck foundation (Experiment grant, R346-2020-1546) grants. We would also like to express our gratitude to Jianzhou Qu and Staffan Persson for their contributions to the manuscript revising and data analysis.

Publisher Copyright:
© 2023 Elsevier Ltd

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