Literature DB >> 35090379

Classification of Parabacteroides distasonis and other Bacteroidetes using O- antigen virulence gene: RfbA-Typing and hypothesis for pathogenic vs. probiotic strain differentiation.

Nicholas C Bank1, Vaidhvi Singh1, Alex Rodriguez-Palacios1,2,3.   

Abstract

Parabacteroides distasonis (Pdis) is the type species for the new Parabacteroides genus, and a gut commensal of the Bacteroidetes phylum. Emerging reports (primarily based on reference strain/ATCC-8503) concerningly propose that long-known opportunistic pathogen Pdis is a probiotic. We posit there is an urgent need to characterize the pathogenicity of Pdis strain-strain variability. Unfortunately, no methods/insights exist to classify Bacteroidetes for this purpose. Herein, we developed a virulence gene-based classification system for Pdis and Bacteroidetes to facilitate pathogenic-vs-probiotic characterization. We used DNA in silico methods to develop a system based on the virulence (lipopolysaccharide/bacterial wall) 'rfbA O-antigen-synthesis gene'. We then performed phylogenetic analysis of rfbA from fourteen Pdis complete genomes (21 genes), other Parabacteroides, Bacteroidetes, and Enterobacteriaceae; and proposed a PCR-based Restriction-Fragment Length Polymorphism method. Cluster analysis revealed that Pdis can be classified into four lineages (based on gene gaps/insertions) which we designated rfbA-Types I, II, III, and IV. In context, we found 14 additional rfbA-types (I-XVIII) interspersed with numerous Bacteroidetes and pathogenic Enterobacteriaceae forming three major "rfbA-superclusters." For laboratory rfbA-Typing implementation, we developed a PCR-primer strategy to amplify Pdis rfbA genes (100%-specificity) to conduct MboII-RFLP and sub-classify Pdis. In-silico primers for other Bacteroidetes are proposed/discussed. Comparative analysis of lipopolysaccharide/lipid-A gene lpxK confirmed rfbA as highly discriminant. In conclusion, rfbA-Typing classifies Bacteroidetes/Pdis into unique clusters/superclusters given rfbA copy/sequence variability. Analysis revealed that most pathogenic Pdis strains are single-copy rfbA-Type I . The relevance of the rfbA strain variability in disease might depend on their hypothetical modulatory interactions with other O-antigens/lipopolysaccharides and TLR4 lipopolysaccharide-receptors in human/animal cells.

Entities:  

Keywords:  Alistipes; Bacteroides; Bacteroidetes; Escherichia coli; Genomic based classification; MboII enzyme; O-antigen serotyping; Prevotella; RFLP; Salmonella; superclusters

Mesh:

Substances:

Year:  2022        PMID: 35090379      PMCID: PMC8803095          DOI: 10.1080/19490976.2021.1997293

Source DB:  PubMed          Journal:  Gut Microbes        ISSN: 1949-0976


  47 in total

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Authors:  Mitsuo Sakamoto; Yoshimi Benno
Journal:  Int J Syst Evol Microbiol       Date:  2006-07       Impact factor: 2.747

6.  Oral administration of Parabacteroides distasonis antigens attenuates experimental murine colitis through modulation of immunity and microbiota composition.

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7.  Parabacteroides distasonis attenuates tumorigenesis, modulates inflammatory markers and promotes intestinal barrier integrity in azoxymethane-treated A/J mice.

Authors:  Gar Yee Koh; Anne V Kane; Xian Wu; Jimmy W Crott
Journal:  Carcinogenesis       Date:  2020-07-14       Impact factor: 4.944

8.  Parabacteroides distasonis attenuates toll-like receptor 4 signaling and Akt activation and blocks colon tumor formation in high-fat diet-fed azoxymethane-treated mice.

Authors:  Gar Yee Koh; Anne Kane; Kyongbum Lee; Qiaobing Xu; Xian Wu; Jatin Roper; Joel B Mason; Jimmy W Crott
Journal:  Int J Cancer       Date:  2018-10-01       Impact factor: 7.396

9.  Human Toll-like receptor 4 responses to P. gingivalis are regulated by lipid A 1- and 4'-phosphatase activities.

Authors:  Stephen R Coats; Jace W Jones; Christopher T Do; Pamela H Braham; Brian W Bainbridge; Thao T To; David R Goodlett; Robert K Ernst; Richard P Darveau
Journal:  Cell Microbiol       Date:  2009-06-13       Impact factor: 3.715

10.  FDA-ARGOS is a database with public quality-controlled reference genomes for diagnostic use and regulatory science.

Authors:  Heike Sichtig; Timothy Minogue; Yi Yan; Christopher Stefan; Adrienne Hall; Luke Tallon; Lisa Sadzewicz; Suvarna Nadendla; William Klimke; Eneida Hatcher; Martin Shumway; Dayanara Lebron Aldea; Jonathan Allen; Jeffrey Koehler; Tom Slezak; Stephen Lovell; Randal Schoepp; Uwe Scherf
Journal:  Nat Commun       Date:  2019-07-25       Impact factor: 14.919

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  2 in total

1.  Whole genome sequencing of the multidrug-resistant Chryseobacterium indologenes isolated from a patient in Brazil.

Authors:  Marcelo Silva Folhas Damas; Roumayne Lopes Ferreira; Emeline Boni Campanini; Gabriela Guerrera Soares; Leslie Camelo Campos; Pedro Mendes Laprega; Andrea Soares da Costa; Caio César de Melo Freire; André Pitondo-Silva; Louise Teixeira Cerdeira; Anderson Ferreira da Cunha; Maria-Cristina da Silva Pranchevicius
Journal:  Front Med (Lausanne)       Date:  2022-07-28

2.  In Silico Study of Cell Surface Structures of Parabacteroides distasonis Involved in Its Maintenance within the Gut Microbiota.

Authors:  Jordan Chamarande; Lisiane Cunat; Corentine Alauzet; Catherine Cailliez-Grimal
Journal:  Int J Mol Sci       Date:  2022-08-20       Impact factor: 6.208

  2 in total

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