Starch granular size and multi-scale structure determine population patterns in bivariate flow cytometry sorting
Zhu C. Zhang X. Xu R. Zhong Y. Li S. Li J. Huang C. Wu W. Zhai M. Nurzikhan S. Blennow A. Guo D.
15 March 2023Elsevier B.V.
International Journal of Biological Macromolecules
2023#231
Bivariate flow cytometry (FC) sorting with forward scatter (FSC) and side scatter (SSC) is a recently established novel technique to separate starch granules. However, the forming mechanism of starch FC-dependent population patterns (i.e. the number of subgroups (NS) and FSC/SSC-dependent distribution patterns) remain partly elusive. For this, the correlation of granular size and multi-scale structure of native starches and FC-dependent population patterns was investigated through employing a wide range of native starches originating from different species involving cereal-, pulse-, and tuber crops. Results showed NS was pertinent with particle size, amylose content (AC), amylopectin chains length distribution, lamellar structure, short-range ordered structure. The distinct NS was determined by impacts of native starch FSC / SSC-dependent distribution patterns. Specifically, starch granular size significantly correlated with both FSC and SSC-dependent distribution patterns. The proportion of chains with DP 6–12 was the intra-molecular decisive factor to influence short-range ordered structure, finally leading to FSC-dependent distribution patterns. By contrast, AC was another intra-molecular index to determine SSC-dependent distribution patterns through affecting lamellar structure and short-range ordered structure.
Flow cytometry , Particle size , Population patterns , Starch granules , Structural properties
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Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Shaanxi, Yangling, 712100, China
State Key Laboratory of Stress Biology for Arid Areas, Northwest A&F University, Shaanxi, Yangling, 712100, China
Institute of Crop Science, Quality of Plant Products, University of Hohenheim, Stuttgart, 70599, Germany
Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Denmark
Kazakh National Agricultural Research University, 050005, Kazakhstan
Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region
State Key Laboratory of Stress Biology for Arid Areas
Institute of Crop Science
Department of Plant and Environmental Sciences
Kazakh National Agricultural Research University
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