Evidence map›Paper›PMID 41505436›Full record

ArticlePloS one2026

Genomic and chemical insights into a human lectin-binding extracellular polysaccharides from Parageobacillus toebii strain H-70.

Diana Ghevondyan, Armine Margaryan, Fabrizio Chiodo, Yvette van Kooyk, Ilaria Finore, Annarita Poli, Hovik Panosyan

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Diana GhevondyanDepartment of Biochemistry, Microbiology and Biotechnology, Yerevan State University, Yerevan, Armenia.
Armine MargaryanDepartment of Biochemistry, Microbiology and Biotechnology, Yerevan State University, Yerevan, Armenia.ORCID https://orcid.org/0000-0001-8320-5586
Fabrizio ChiodoInstitute of Biomolecular Chemistry, National Council of Research (C.N.R.), Pozzuoli, Naples, Italy.
Yvette van KooykDepartment of Molecular Cell Biology and Immunology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Ilaria FinoreInstitute of Biomolecular Chemistry, National Council of Research (C.N.R.), Pozzuoli, Naples, Italy.
Annarita PoliInstitute of Biomolecular Chemistry, National Council of Research (C.N.R.), Pozzuoli, Naples, Italy.
Hovik PanosyanResearch Institute of Biology, Biology Faculty, Yerevan State University, Yerevan, Armenia.ORCID https://orcid.org/0000-0002-4891-0922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular polysaccharides (EPSs) from thermophilic bacteria are promising biopolymers due to their stability and structural variability. This study aimed to characterize the genomic and chemical features of EPS produced by Parageobacillus toebii strain H-70 isolated from a geothermal spring in Armenia. EPS from strain H-70 was produced in sucrose and glucose based medium and analyzed chemically by TLC, HPAEC-PAD, GC-MS, and NMR. Protein, uronic acid, and nucleic acid contents were quantified by spectrophotometric methods. Molasses, an inexpensive byproduct of sugar production, was used as the carbon source too. Whole-genome sequencing, comparative phylogenomics, and genome mining were performed to identify biosynthetic gene clusters, carbohydrate-active enzymes (CAZymes), and regulatory components associated with EPS metabolism. Strain H-70 yielded 37.9 mg/L EPS (0.10 g/g dry cell weight) after 72 h cultivation at 55 °C and pH 7.0 with sucrose as sole carbon source. The EPS was a heteropolysaccharide composed of rhamnose, glucose, galactose, and mannose, along with proteins (15.04%), uronic acids (4.22%), and nucleic acids (4.88%). The EPS yield obtained with glucose as the sole carbon source was 10.5 mg/L, whereas molasses supplementation resulted in a yield of 14.5 mg/L. The draft genome (~3.2 Mb, 42% G + C, 98.9% ANI with P. toebii DSM 14590) encoded five Wzy-dependent EPS gene clusters with glycosyltransferases, transporters, and regulators. The genome also carried diverse CAZymes (GH, GT, CE, CBM, AA families) and modification enzymes (e.g., CsaB, acetyltransferases), indicating structural and functional variability of the polymer. In addition, the binding to human C-type lectins (carbohydrate-binding proteins involved in innate and adaptive immune-responses) has been studied by solid-phase assay. This study provides the first comprehensive characterization of EPS from P. toebii H-70, integrating genomic and chemical insights. The binding to human C-type lectins offers future EPSs biomedical applications especially in as immune-modulators.

Indexed as

BacillaceaeLectinsPolysaccharides, BacterialGenomicsHumansMultigene FamilyPhylogenyLectinsPolysaccharides, Bacterial

Identifiers

PMID41505436
PMCPMC12782446

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.