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- CalR Inhibits the Swimming Motility and Polar Flagellar Gene Expression in Vibrio parahaemolyticus
- Jingyang Chang, Yining Zhou, Miaomiao Zhang, Xue Li, Nan Zhang, Xi Luo, Bin Ni, Haisheng Wu, Renfei Lu, Yiquan Zhang
- J. Microbiol. 2024;62(12):1125-1132. Published online December 6, 2024
- DOI: https://doi.org/10.1007/s12275-024-00179-0
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Abstract
- Vibrio parahaemolyticus has two flagellar systems, the polar flagellum and lateral flagella, which are both intricately regulated by a multitude of factors. CalR, a LysR-type transcriptional regulator, is sensitive to calcium (Ca) and plays a crucial role in regulating the virulence and swarming motility of V. parahaemolyticus. In this study, we have demonstrated that the deletion of calR significantly enhances the swimming motility of V. parahaemolyticus under low Ca conditions but not under high Ca conditions or in the absence of Ca. CalR binds to the regulatory DNA regions of flgM, flgA, and flgB, which are located within the polar flagellar gene loci, with the purpose of repressing their transcription. Additionally, it exerts an indirect negative control over the transcription of flgK. The overexpression of CalR in Escherichia coli resulted in a reduction in the expression levels of flgM, flgA, and flgB, while having no impact on the expression of flgK. In summary, this research demonstrates that the negative regulation of V. parahaemolyticus swimming motility by CalR under low Ca conditions is achieved through its regulation on the transcription of polar flagellar genes.
- Application of fast expectation-maximization microbial source tracking to discern fecal contamination in rivers exposed to low fecal inputs
- Youfen Xu , Ganghua Han , Hongxun Zhang , Zhisheng Yu , Ruyin Liu
- J. Microbiol. 2022;60(6):594-601. Published online April 18, 2022
- DOI: https://doi.org/10.1007/s12275-022-1651-9
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Abstract
- Community-based microbial source tracking (MST) can be used to determine fecal contamination from multiple sources in the aquatic environment. However, there is little scientific information on its application potential in water environmental management. Here, we compared SourceTracker and Fast Expectation-maximization Microbial Source Tracking (FEAST) performances on environmental water bodies exposed to low fecal pollution and evaluated treatment effects of fecal pollution in the watershed utilizing community-based MST. Our results showed that FEAST overall outperformed SourceTracker in sensitivity and stability, and was able to discern multi-source fecal contamination (mainly chicken feces) in ambient water bodies exposed to low fecal inputs. Consistent with our previous PCR/qPCR-based MST assays, FEAST analysis indicates that fecal pollution has been significantly mitigated through comprehensive environmental treatment by the local government. This study suggests that FEAST can be a powerful tool for accurately evaluating the contribution of multi-source fecal contamination in environmental water, facilitating environmental management.
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Citations
Citations to this article as recorded by
- Faecal source apportionment using molecular methods: A proof of concept using the FEAST algorithm
Laura T. Kelly, Jack Sissons, Lucy Thompson, John K. Pearman
Water Research.2024; 266: 122365. CrossRef - Novel Microbial Engraftment Trajectories Following Microbiota Transplant Therapy in Ulcerative Colitis
Daphne Moutsoglou, Aneesh Syal, Sharon Lopez, Elizabeth C Nelson, Lulu Chen, Amanda J Kabage, Monika Fischer, Alexander Khoruts, Byron P Vaughn, Christopher Staley
Journal of Crohn's and Colitis.2024;[Epub] CrossRef - Computational methods and challenges in analyzing intratumoral microbiome data
Qi Wang, Zhaoqian Liu, Anjun Ma, Zihai Li, Bingqiang Liu, Qin Ma
Trends in Microbiology.2023; 31(7): 707. CrossRef - Response and recovery mechanisms of river microorganisms to gradient concentrations of estrogen
Dan Qin, Yan Li, Nengwang Chen, Anyi Hu, Chang-Ping Yu
Frontiers in Microbiology.2023;[Epub] CrossRef - Improving the Identification of Fecal Contamination in Recreational Water through the Standardization and Normalization of Microbial Source Tracking
Megan N. Jamison, John J. Hart, David C. Szlag
ACS ES&T Water.2022; 2(12): 2305. CrossRef
- Faecal source apportionment using molecular methods: A proof of concept using the FEAST algorithm
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