Rhizobium lipopolysaccharide (LPS) contains four terminally linked galacturonic acid (GalA) residues; one attached to the lipid A and three attached to the core oligosaccharide moiety. Attachment of the GalA residues requires the lipid donor dodecaprenyl-phosphate GalA (Dod-P-GalA), which is synthesized by the GalA transferase RgtE reported here. The galacturonosyl transferases RgtA, -B, and -C utilize Dod-P-GalA to attach GalAs on the LPS core region, and RgtD attaches GalA to the lipid A 4' position. As reported here, the functions of the rgtD and rgtE genes were determined via insertion mutagenesis and structural characterization of the mutant lipid A. The rgtE(-) mutant lacked Dod-P-GalA as determined by mass spectrometry of total lipid extracts and the inability of rgtE(-) mutant membranes to provide the substrate for heterologously expressed RgtA activity. In addition, we created single mutations in each of the rgtA, -B, -C, -D, and -E genes to study the biological function of the GalA residues. The structures of the core oligosaccharide region from each of the rgt mutants were elucidated by glycosyl linkage analysis. Each mutant was assayed for its sensitivity to sodium deoxycholate and to the antimicrobial cationic peptide, polymyxin B (PmxB). The rgt mutants were more sensitive than the parent strain to deoxycholate by varying degrees. However, the rgtA, -B, and -C mutants were more resistant to PmxB, whereas the rgtD and E mutants were less resistant in comparison to the parent strain.
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http://dx.doi.org/10.1074/jbc.M111.311571 | DOI Listing |
Gigascience
January 2024
School of Mathematical Sciences, Peking University, Beijing 100871, China.
Background: In the face of a growing disparity between high-throughput sequence data and low-throughput experimental studies, the emerging field of deep learning stands as a promising alternative. Generally, many data-driven approaches are capable of facilitating fast and accurate predictions of protein functions. Nevertheless, the inherent statistical nature of deep learning techniques may limit their generalization capabilities when applied to novel nonhomologous proteins that diverge significantly from existing ones.
View Article and Find Full Text PDFMethods Mol Biol
November 2024
Faculty of Science, P.J. Šafárik University in Košice, Košice, Slovakia.
This chapter explores the innovative application of machine learning techniques to understand and predict the stability of protein substructures. Accurately identifying stable substructures within proteins necessitates incorporating the local context, crucial for elucidating the roles of supersecondary structures. This approach emphasizes the importance of contextual information in understanding the stability and functionality of protein regions, thereby providing a more comprehensive view of protein mechanics and interactions.
View Article and Find Full Text PDFFood Chem X
December 2024
College of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China.
This study used an ultrasonically accelerated metal-free Fenton (HO-V system) reaction to promote water-extracted degrading polysaccharides from (DZMP). A novel jujube polysaccharide (DPZMP3) was obtained by degradation using DEAE-Sepharose Fast Flow and Sephacryl S-100 column chromatography. Methylation analysis, HPGPC, ion chromatography, FT-IR, and NMR spectroscopies were used to clarify the chemical structures of DPZMP3.
View Article and Find Full Text PDFFood Chem
February 2025
Key Laboratory of Specialty Agri-product Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou 310018, China. Electronic address:
The endo-polygalacturonase D (PgaD) from Aspergillus niger JL15 was recombinantly expressed in Escherichia coli BL21, exhibiting an optimal activity at 55 °C and pH 4.0. Hydrolysis products of citrus pectin by recombinant PgaD included galacturonic acid (GalA), digalacturonic acid (GalA2), trigalacturonic acid (GalA3), and tetragalacturonic acid (GalA4).
View Article and Find Full Text PDFCarbohydr Polym
January 2025
Xuzhou Institute of Agricultural Sciences in Jiangsu Xuhuai District, Xuzhou, People's Republic of China.
To examine the effects of different solvents on the molecular weight, yield, chemical composition, and bioactivity of pectins, four RG-I type pectins were separately extracted from sweet potato residue (SPR) using hot water extraction (HWSP), sodium hydroxide extraction (SHSP), hydrochloric acid extraction (HASP), and chelating agents (CASP). The results showed that the four pectin samples comprised GalUA, Gal, Rha, Ara, Glc, GlcUA, Man, and Xyl components. Among these components, GalA content was the highest in all four pectins.
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