scholarly journals Phenotypic, Proteomic, and Genomic Characterization of a Putative ABC-Transporter Permease Involved in Listeria monocytogenes Biofilm Formation

2011 ◽  
Vol 8 (4) ◽  
pp. 495-501 ◽  
Author(s):  
Xinna Zhu ◽  
Weibing Liu ◽  
René Lametsch ◽  
Frank Aarestrup ◽  
Chunlei Shi ◽  
...  
2008 ◽  
Vol 74 (24) ◽  
pp. 7675-7683 ◽  
Author(s):  
Xinna Zhu ◽  
Fei Long ◽  
Yonghui Chen ◽  
Susanne Knøchel ◽  
Qunxin She ◽  
...  

ABSTRACT Listeria monocytogenes may persist for long periods in food processing environments. In some instances, this may be due to aggregation or biofilm formation. To investigate the mechanism controlling biofilm formation in the food-borne pathogen L. monocytogenes, we characterized LM-49, a mutant with enhanced ability of biofilm formation generated via transposon Tn917 mutagenesis of L. monocytogenes 4b G. In this mutant, a Tn917 insertion has disrupted the coding region of the gene encoding a putative ATP-binding cassette (ABC) transporter permease identical to Lmof2365_1771 (a putative ABC transporter permease) presented in the sequenced strain L. monocytogenes strain 4b F2365. This disrupted gene, denoted lm.G_1771, encoded a protein with 10 transmembrane helixes. The revertant, LM-49RE, was obtained by replacing lm.G_1771::Tn917 with lm.G_1771 via homologous recombination. We found that LM-49RE formed the same amount of biofilm biomass as the wild-type strain. Furthermore, transcription of the downstream lm.G_1770 gene was not influenced by the upstream Tn917 insertion, and the presence of Tn917 has no effect on biofilm formation. These results suggest that lm.G_1771 was solely responsible for the negative regulation of biofilm formation by L. monocytogenes 4b G. The immediate gene upstream of lm.G_1771 encoded an ATP-binding protein. Bioinformatics analysis suggested that these two genes were organized into an operon and that their proteins formed an export ABC transporter. Here, we report the characterization of the mutant and identification of a novel ABC transporter that functions in negative regulation of biofilm formation in L. monocytogenes.


2020 ◽  
Vol 11 ◽  
Author(s):  
Monika Kurpas ◽  
Jacek Osek ◽  
Alexandra Moura ◽  
Alexandre Leclercq ◽  
Marc Lecuit ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e42448 ◽  
Author(s):  
Pongpan Laksanalamai ◽  
Lavin A. Joseph ◽  
Benjamin J. Silk ◽  
Laurel S. Burall ◽  
Cheryl L. Tarr ◽  
...  

Genes ◽  
2018 ◽  
Vol 9 (3) ◽  
pp. 171 ◽  
Author(s):  
Amber Hilliard ◽  
Dara Leong ◽  
Amy O’Callaghan ◽  
Eamonn Culligan ◽  
Ciara Morgan ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaoai Zhang ◽  
Yuzhu Liu ◽  
Penghang Zhang ◽  
Yanlin Niu ◽  
Qian Chen ◽  
...  

Listeria monocytogenes is a foodborne human pathogen that affects public health worldwide. Whole-genome sequencing (WGS) can classify L. monocytogenes isolates and identify virulence islands and resistance genes potentially influencing infectivity. Herein, WGS was used to assess 151 L. monocytogenes isolates from 120 cases of clinical infection in Beijing, China, between 2014 and 2018. Most isolates were either serogroup 1/2a,3a or serogroup 1/2b,3b,7, with 25 multilocus sequence typing (MLST) types (STs) represented, of which ST8, ST87, and ST5 were the most common. Core-genome MLST (cgMLST) grouped the 151 isolates into 116 cgMLST types. The discriminatory power of cgMLST was greater than other subtypes, revealing that isolates from the same patient were highly related (only differing at one allele). Eighty-six isolates formed 30 complexes with ≤ 7 cgMLST alleles between neighboring isolates, suggesting possible outbreaks. Compared with isolates in the United States, ST8, ST121, ST619, ST87, and ST155 isolates were grouped into unified clades. All 151 isolates were positive for common virulence-associated loci, and 26 lineage I isolates harbored the pathogenicity island 3 (LIPI-3) locus, while 42 lineage I isolates harbored the complete LIPI-4 locus. Eleven ST619 isolates had both LIPI-3 and LIPI-4. Among the 151 isolates, 13 were resistant to at least one antibiotic, and no multidrug-resistant isolates were identified. Resistance phenotypes correlated with genotypes, apart from two meropenem resistance isolates. The findings provided insight into the nature of L. monocytogenes strains currently causing clinical disease in Beijing, and WGS analysis indicated possible outbreaks.


2022 ◽  
Vol 8 (1) ◽  
pp. 66
Author(s):  
Ceth W. Parker ◽  
Marcus de Melo Teixeira ◽  
Nitin K. Singh ◽  
Huzefa A. Raja ◽  
Kristof B. Cank ◽  
...  

A fungal strain (FJII-L10-SW-P1) was isolated from the Mars 2020 spacecraft assembly facility and exhibited biofilm formation on spacecraft-qualified Teflon surfaces. The reconstruction of a six-loci gene tree (ITS, LSU, SSU, RPB1 and RPB2, and TEF1) using multi-locus sequence typing (MLST) analyses of the strain FJII-L10-SW-P1 supported a close relationship to other known Parengyodontium album subclade 3 isolates while being phylogenetically distinct from subclade 1 strains. The zig-zag rachides morphology of the conidiogenous cells and spindle-shaped conidia were the distinct morphological characteristics of the P. album subclade 3 strains. The MLST data and morphological analysis supported the conclusion that the P. album subclade 3 strains could be classified as a new species of the genus Parengyodontium and placed in the family Cordycipitaceae. The name Parengyodontium torokii sp. nov. is proposed to accommodate the strain, with FJII-L10-SW-P1 as the holotype. The genome of the FJII-L10-SW-P1 strain was sequenced, annotated, and the secondary metabolite clusters were identified. Genes predicted to be responsible for biofilm formation and adhesion to surfaces were identified. Homology-based assignment of gene ontologies to the predicted proteome of P. torokii revealed the presence of gene clusters responsible for synthesizing several metabolic compounds, including a cytochalasin that was also verified using traditional metabolomic analysis.


PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e89024 ◽  
Author(s):  
Pongpan Laksanalamai ◽  
Bixing Huang ◽  
Jonathan Sabo ◽  
Laurel S. Burall ◽  
Shaohua Zhao ◽  
...  

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