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High-throughput Screening of Carbohydrate-degrading Enzymes Using Novel Insoluble Chromogenic Substrate Assay Kits
Published on: September 20, 2016
Structural characterization and predicted biosynthetic pathway of the polysaccharide component of bioflocculant from
Mingchen Xia1, Weimin Zeng2, Peng Bao3
1School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China.
Abstract:
Polysaccharides-based bioflocculant is a promising eco-friendly alternative to conventional flocculants, yet their application is limited by high production cost. Understanding the biosynthetic pathway is essential for targeted strain improvement. In this study, we characterized polysaccharides structure of bioflocculant MBF-ZHX3 from Bacillus subtilis ZHX3 and predicted its biosynthetic pathway via genomic analysis combined with quantitative real-time PCR (qPCR). Two purified polysaccharide fractions, PS1-1 (5982 Da) and PS2-1 (17,577 Da), were obtained. Both were mainly composed of glucose, with a backbone of →4)-α-D-Glcp-(1 → and α-D-Glcp-(1 → branches attached at O-6. Whole-genome sequencing revealed a circular chromosome of 4,122,369 bp and two plasmids. Functional annotation showed high carbohydrate metabolism activity, with 284 genes (9.52%) and 264 genes (11.28%) assigned to carbohydrate metabolism in the COG and KEGG database, respectively. A complete eps gene cluster consisting of 15 open reading frames was identified. qPCR showed that key genes involved in substrate uptake (ptsG, malP, mdxEFG-msmX) and nucleotide sugar synthesis (pgcA, gtaB) were significantly upregulated. The priming glycosyltransferase (GT) epsL and the primary GT epsF were upregulated, along with the flippase epsK, polymerase epsG, and chain-length regulators epsA and epsB. Based on these findings, we propose a putative biosynthetic pathway for the polysaccharide component of MBF-ZHX3, and identify epsL, epsF, and epsG as prioritized targets for future genetic engineering. This work provides an integrated structural-genomic-transcriptomic framework that can guide rational strain improvement to enhance bioflocculant production.
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