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Pradhan J, Pradhan D, Sahu JK, Mishra S, Mallick S, Das S, Negi VD. A novel rspA gene regulates biofilm formation and virulence of Salmonella Typhimurium. Microb Pathog 2023; 185:106432. [PMID: 37926364 DOI: 10.1016/j.micpath.2023.106432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/26/2023] [Accepted: 10/28/2023] [Indexed: 11/07/2023]
Abstract
Salmonella spp. are facultative anaerobic, Gram-negative, rod-shaped bacteria and belongs to the Enterobacteriaceae family. Although much has been known about Salmonella pathogenesis, the functional characterizations of certain genes are yet to be explored. The rspA (STM14_1818) is one such gene with putative dehydratase function, and its role in pathogenesis is unknown. The background information showed that rspA gene is upregulated in Salmonella when it resides inside macrophages, which led us to investigate its role in Salmonella pathogenesis. We generated the rspA knockout strain and complement strain in S. Typhimurium 14028. Ex-vivo and in-vivo infectivity was looked at macrophage and epithelial cell lines and Caenorhabditis elegans (C. elegans). The mutant strain differentially formed the biofilm at different temperatures by altering the expression of genes involved in the synthesis of cellulose and curli. Besides, the mutant strain is hyperproliferative intracellularly and showed increased bacterial burden in C. elegans. The mutant strain became more infectious and lethal, causing faster death of the worms than the wild type, and also modulates the worm's innate immunity. Thus, we found that the rspA deletion mutant was more pathogenic. In this study, we concluded that the rspA gene differentially regulates the biofilm formation in a temperature dependent manner by modulating the genes involved in the synthesis of cellulose and curli and negatively regulates the Salmonella virulence for longer persistence inside the host.
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Affiliation(s)
- Jasmin Pradhan
- Laboratory of Infection Immunology, Department of Life Science, National Institute of Technology, Rourkela, 769008, Odisha, India.
| | - Diana Pradhan
- Laboratory of Infection Immunology, Department of Life Science, National Institute of Technology, Rourkela, 769008, Odisha, India.
| | - Jugal Kishor Sahu
- Laboratory of Infection Immunology, Department of Life Science, National Institute of Technology, Rourkela, 769008, Odisha, India.
| | - Satyajit Mishra
- Laboratory of Infection Immunology, Department of Life Science, National Institute of Technology, Rourkela, 769008, Odisha, India.
| | - Swarupa Mallick
- Laboratory of Infection Immunology, Department of Life Science, National Institute of Technology, Rourkela, 769008, Odisha, India.
| | - Surajit Das
- Laboratory of Infection Immunology, Department of Life Science, National Institute of Technology, Rourkela, 769008, Odisha, India.
| | - Vidya Devi Negi
- Laboratory of Infection Immunology, Department of Life Science, National Institute of Technology, Rourkela, 769008, Odisha, India.
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Quintieri L, Zühlke D, Fanelli F, Caputo L, Liuzzi VC, Logrieco AF, Hirschfeld C, Becher D, Riedel K. Proteomic analysis of the food spoiler Pseudomonas fluorescens ITEM 17298 reveals the antibiofilm activity of the pepsin-digested bovine lactoferrin. Food Microbiol 2019; 82:177-193. [DOI: 10.1016/j.fm.2019.02.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 02/04/2019] [Accepted: 02/06/2019] [Indexed: 11/29/2022]
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Abstract
Over half of adults experience gingivitis, a mild yet treatable form of periodontal disease caused by the overgrowth of oral microbes. Left untreated, gingivitis can progress to a more severe and irreversible disease, most commonly chronic periodontitis. While periodontal diseases are associated with a shift in the oral microbiota composition, it remains unclear how this shift impacts microbiota function early in disease progression. Here, we analyzed the transition from health to gingivitis through both 16S v4-v5 rRNA amplicon and metatranscriptome sequencing of subgingival plaque samples from individuals undergoing an experimental gingivitis treatment. Beta-diversity analysis of 16S rRNA reveals that samples cluster based on disease severity and patient but not by oral hygiene status. Significant shifts in the abundance of several genera occurred during disease transition, suggesting a dysbiosis due to development of gingivitis. Comparing taxonomic abundance with transcriptomic activity revealed concordance of bacterial diversity composition between the two quantification assays in samples originating from both healthy and diseased teeth. Metatranscriptome sequencing analysis indicates that during the early stages of transition to gingivitis, a number of virulence-related transcripts were significantly differentially expressed in individual and across pooled patient samples. Upregulated genes include those involved in proteolytic and nucleolytic processes, while expression levels of those involved in surface structure assembly and other general virulence functions leading to colonization or adaptation within the host are more dynamic. These findings help characterize the transition from health to periodontal disease and identify genes associated with early disease. Although more than 50% of adults have some form of periodontal disease, there remains a significant gap in our understanding of its underlying cause. We initiated this study in order to better characterize the progression from oral health to disease. We first analyzed changes in the abundances of specific microorganisms in dental plaque collected from teeth during health and gingivitis, the mildest form of periodontal disease. We found that the clinical score of disease and patient from whom the sample originated but not tooth brushing are significantly correlated with microbial community composition. While a number of virulence-related gene transcripts are differentially expressed in gingivitis samples relative to health, not all are increased, suggesting that the overall activity of the microbiota is dynamic during disease transition. Better understanding of which microbes are present and their function during early periodontal disease can potentially lead to more targeted prophylactic approaches to prevent disease progression.
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Balikó G, Vernyik V, Karcagi I, Györfy Z, Draskovits G, Fehér T, Pósfai G. Rational Efforts to Streamline the Escherichia coliGenome. Synth Biol (Oxf) 2018. [DOI: 10.1002/9783527688104.ch4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Gabriella Balikó
- Biological Research Centre of the Hungarian Academy of Sciences; Institute of Biochemistry, Synthetic and Systems Biology Unit; Temesvari krt. 62 Szeged 6726 Hungary
| | - Viktor Vernyik
- Biological Research Centre of the Hungarian Academy of Sciences; Institute of Biochemistry, Synthetic and Systems Biology Unit; Temesvari krt. 62 Szeged 6726 Hungary
| | - Ildikó Karcagi
- Biological Research Centre of the Hungarian Academy of Sciences; Institute of Biochemistry, Synthetic and Systems Biology Unit; Temesvari krt. 62 Szeged 6726 Hungary
| | - Zsuzsanna Györfy
- Biological Research Centre of the Hungarian Academy of Sciences; Institute of Biochemistry, Synthetic and Systems Biology Unit; Temesvari krt. 62 Szeged 6726 Hungary
| | - Gábor Draskovits
- Biological Research Centre of the Hungarian Academy of Sciences; Institute of Biochemistry, Synthetic and Systems Biology Unit; Temesvari krt. 62 Szeged 6726 Hungary
| | - Tamás Fehér
- Biological Research Centre of the Hungarian Academy of Sciences; Institute of Biochemistry, Synthetic and Systems Biology Unit; Temesvari krt. 62 Szeged 6726 Hungary
| | - György Pósfai
- Biological Research Centre of the Hungarian Academy of Sciences; Institute of Biochemistry, Synthetic and Systems Biology Unit; Temesvari krt. 62 Szeged 6726 Hungary
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Keseler IM, Mackie A, Santos-Zavaleta A, Billington R, Bonavides-Martínez C, Caspi R, Fulcher C, Gama-Castro S, Kothari A, Krummenacker M, Latendresse M, Muñiz-Rascado L, Ong Q, Paley S, Peralta-Gil M, Subhraveti P, Velázquez-Ramírez DA, Weaver D, Collado-Vides J, Paulsen I, Karp PD. The EcoCyc database: reflecting new knowledge about Escherichia coli K-12. Nucleic Acids Res 2016; 45:D543-D550. [PMID: 27899573 PMCID: PMC5210515 DOI: 10.1093/nar/gkw1003] [Citation(s) in RCA: 390] [Impact Index Per Article: 43.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Accepted: 11/07/2016] [Indexed: 12/16/2022] Open
Abstract
EcoCyc (EcoCyc.org) is a freely accessible, comprehensive database that collects and summarizes experimental data for Escherichia coli K-12, the best-studied bacterial model organism. New experimental discoveries about gene products, their function and regulation, new metabolic pathways, enzymes and cofactors are regularly added to EcoCyc. New SmartTable tools allow users to browse collections of related EcoCyc content. SmartTables can also serve as repositories for user- or curator-generated lists. EcoCyc now supports running and modifying E. coli metabolic models directly on the EcoCyc website.
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Affiliation(s)
- Ingrid M Keseler
- SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
| | - Amanda Mackie
- Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, Australia
| | - Alberto Santos-Zavaleta
- Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, Mexico
| | | | - César Bonavides-Martínez
- Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, Mexico
| | - Ron Caspi
- SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
| | - Carol Fulcher
- SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
| | - Socorro Gama-Castro
- Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, Mexico
| | - Anamika Kothari
- SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
| | | | | | - Luis Muñiz-Rascado
- Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, Mexico
| | - Quang Ong
- SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
| | - Suzanne Paley
- SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
| | - Martin Peralta-Gil
- Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, Mexico
| | | | - David A Velázquez-Ramírez
- Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, Mexico
| | - Daniel Weaver
- SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
| | - Julio Collado-Vides
- Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, Mexico
| | - Ian Paulsen
- Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, Australia
| | - Peter D Karp
- SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
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