Taxonomic group: fungi, bacteria / Basidiomycota, Proteobacteria (Phylum: Basidiomycota, Proteobacteria)
 
Publication DOI: 10.1016/j.foodhyd.2020.106001
Journal NLM ID: 8701770
Publisher: New York, NY: Elsevier
Correspondence: Lam K-L <cufns_kocaslink.cuhk.edu.hk>; Cheng W-Y <nanochenglink.cuhk.edu.hk>; Su Y <1155118896link.cuhk.edu.hk>; Li X <lixiaojieszu.edu.cn>; Wu X <tkentwujnu.edu.cn>; Wong K-H <kahing.wongpolyu.edu.hk>; Kwan H-S <hoishankwancuhk.edu.hk>; Cheung PC-K <petercheungcuhk.edu.hk>
Institutions: Food and Nutritional Sciences Program, School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong, Institute for Advanced Study, Shenzhen University, Shenzhen, China, Department of Food Science and Engineering, College of Science and Engineering, Jinan University, Guangzhou, China, Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong

Beta-glucans as food hydrocolloids have demonstrated prebiotic potential recently. Novel hydrocolloid-based prebiotics could be developed by structural manipulation of existing carbohydrate candidates using different physical, chemical and/or biological approaches. However, there are no guidelines on choosing the most promising structural feature as the starting point(s) for modification. We performed a parallel in vitro fermentation of six native and carboxymethylated β-glucans from mushroom, bacteria, seaweed and cereal against five probiotic bacteria, including bifidobacteria and lactobacillus, and determined their growth parameters including the lag phase, maximum growth rate, and maximum population increase. An unsupervised analysis pipeline was developed to elucidate the structure-property relationship of β-glucans as prebiotic candidates and identified several chemical composition and structural features for modification to maximize their prebiotic potential. We adopted the random forest algorithm to quantify the relative importance of different composition and structural features in altering the three probiotic growth parameters. In terms of structural features, the desirable characteristics for prebiotic development are, in descending order of importance, low molecular weight, high water solubility, and no introduction of carboxymethyl functional group. Apart from structural features, we have identified the chemical composition as high purity, plays a significant importance in increasing the probiotic growth parameters, raising the relevance of including the purity in discussing the developmental cycle of prebiotic potential maximization. We suggest an integrated data alchemy approach including both machine learning and domain knowledge in making decision of choosing the promising starting points and direction for modification of existing hydrocolloids in prebiotic research.

chemical composition, Structural characterization, cyclic prebiotic potential maximization, structure-property relationship, machine learning, data alchemy approach

Structure type: homopolymer
Location inside paper: Table 2, bG_Curdlan, bG_Pachyman, bG_PCS
Trivial name: glucan, β-1,3-glucan, curdlan, curdlan-type polysaccharide 13140, paramylon, curdlan, laminarin, β-glucan, curdlan, β-(1,3)-glucan, β-(1,3)-glucan, curdlan, curdlan, β-1,3-glucan, paramylon, reserve polysaccharide, b-glucan, β-1,3-D-glucan, laminaran, botryosphaeran, laminaran type β-D-glucan, latiglucan I, pachymaran, Curdlan, zymosan A, β-glucan, curdlan, laminarin, zymosan, zymosan, glucan particles, zymosan, β-(1-3)-glucan, β-(1,3)-glucan, β-(1,3)glucan, pachymaran, D-glucan (DPn)540, pachyman, laminaran, curdlan, zymosan, zymosan, β-(1,3)-glucan, zymosan A, zymosan, β-1,3-glucan, curdlan, β-1,3-glucan, curdlan, β-1,3-glucan, curdlan, pachyman, β-(1,3)-glucan, curdlan, callose, a water-insoluble β-(1→3)-glucan, fermentum β-polysaccharide, water-insoluble glucan, alkali-soluble β-glucan (PeA3), alkali-soluble polysaccharide (PCAP), callose, laminarin
Compound class: EPS, O-polysaccharide, cell wall polysaccharide, lipophosphoglycan, glycoprotein, LPG, glucan, polysaccharide, glycoside, β-glucan, β3-glucan, cell wall glucan
Contained glycoepitopes: IEDB_1397514,IEDB_142488,IEDB_146664,IEDB_153543,IEDB_158555,IEDB_161166,IEDB_2278476,IEDB_2278477,IEDB_558869,IEDB_857743,IEDB_983931,SB_192
 
Methods: methylation, IR, GC-MS, acid hydrolysis, biological assays, extraction, acetylation, elemental analysis, methylation analysis, SEC, reduction, dialysis, phenol-sulfuric acid assay
 
Related record ID(s): 43323, 45734, 47152, 47304, 49279, 49282, 50035, 50085, 50617, 50648, 50654, 50665, 50671, 50862
NCBI Taxonomy refs (TaxIDs): 81056, 511
Reference(s) to other database(s): GTC:G51056AN, GlycomeDB:157, CCSD:50049, CBank-STR:4225, CA-RN: 51052-65-4, GenDB:FJ3380871.1
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