A total of 98 previously characterized and serotyped L. monocytogenes strains, comprising 32 of 1/2a; 20 of 1/2b and 46 of 4b serotype, from clinical and food sources were studied for their capability to form a biofilm. The microtiter plate assay revealed 62 (63.26%) strains as weak, 27 (27.55%) strains as moderate, and 9 (9.18%) strains as strong biofilm formers. Among the strong biofilm formers, 6 strains were of serotype 1/2a and 3 strains were of serotype 1/2b. None of the strain from 4b serotype exhibited strong biofilm formation. No firm correlation (p = 0.015) was noticed between any serotype and respective biofilm formation ability. Electron microscopic studies showed that strong biofilm forming isolates could synthesize a biofilm within 24 h on surfaces important in food industries such as stainless steel, ceramic tiles, high-density polyethylene plastics, polyvinyl chloride pipes, and glass. Cell enumeration of strong, moderate, and weak biofilm was performed to determine if the number of cells correlated with the biofilm-forming capabilities of the isolates. Strong, moderate, and weak biofilm showed 570±127× 103 cells/cm2, 33±26× 103 cells/cm2, 5±3× 103 cells/cm2, respectively, indicating that the number of cells was directly proportional to the strength of the biofilm. The hydrophobicity index (HI) analysis revealed higher hydrophobicity with an increased biofilm formation. Fatty acid methyl esterase analysis revealed the amount of certain fatty acids such as iso-C15:0, anteiso-C15:0, and anteiso-C17:0 fatty acids correlated with the biofilm-forming capability of L. monocytogenes. This study showed that different strains of L. monocytogenes form biofilm of different intensities which did not completely correlate with their serotype; however, it correlated with the number of cells, hydrophobicity, and amount of certain fatty acids.

The foodborne pathogen Listeria monocytogenes (Lm) is a highly heterogeneous species and currently comprises of 4 evolutionarily distinct lineages. Here, we characterize isolates from severe ovine listeriosis outbreaks that represent a hybrid sub-lineage of the major lineage II (HSL-II) and serotype 4h. HSL-II isolates are highly virulent and exhibit higher organ colonization capacities than well-characterized hypervirulent strains of Lm in an orogastric mouse infection model. The isolates harbour both the Lm Pathogenicity Island (LIPI)-1 and a truncated LIPI-2 locus, encoding sphingomyelinase (SmcL), a virulence factor required for invasion and bacterial translocation from the gut, and other non-contiguous chromosomal segments from another pathogenic species, L. ivanovii. HSL-II isolates exhibit a unique wall teichoic acid (WTA) structure essential for resistance to antimicrobial peptides, bacterial invasion and virulence. The discovery of isolates harbouring pan-species virulence genes of the genus Listeria warrants global efforts to identify further hypervirulent lineages of Lm.

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Nosocomial pathogens can cause life-threatening infections in neonates and immunocompromised patients. E. bugandensis (EB-247) is a recently described species of Enterobacter, associated with neonatal sepsis. Here we demonstrate that the extended spectrum ß-lactam (ESBL) producing isolate EB-247 is highly virulent in both Galleria mellonella and mouse models of infection. Infection studies in a streptomycin-treated mouse model showed that EB-247 is as efficient as Salmonella Typhimurium in inducing systemic infection and release of proinflammatory cytokines. Sequencing and analysis of the complete genome and plasmid revealed that virulence properties are associated with the chromosome, while antibiotic-resistance genes are exclusively present on a 299 kb IncHI plasmid. EB-247 grew in high concentrations of human serum indicating septicemic potential. Using whole genome-based transcriptome analysis we found 7% of the genome was mobilized for growth in serum. Upregulated genes include those involved in the iron uptake and storage as well as metabolism. The lasso peptide microcin J25 (MccJ25), an inhibitor of iron-uptake and RNA polymerase activity, inhibited EB-247 growth. Our studies indicate that Enterobacter bugandensis is a highly pathogenic species of the genus Enterobacter. Further studies on the colonization and virulence potential of E. bugandensis and its association with septicemic infection is now warranted.

Motivation Antimicrobial resistance (AMR) is one of the biggest global problems threatening human and animal health. Rapid and accurate AMR diagnostic methods are thus very urgently needed. However, traditional antimicrobial susceptibility testing (AST) is time-consuming, low throughput, and viable only for cultivable bacteria. Machine learning methods may pave the way for automated AMR prediction based on genomic data of the bacteria. However, comparing different machine learning methods for the prediction of AMR based on different encodings and whole-genome sequencing data without previously known knowledge remains to be done. Results In the current study, we evaluated logistic regression (LR), support vector machine (SVM), random forest (RF), and convolutional neural network (CNN) for the prediction of AMR for the antibiotics ciprofloxacin (CIP), cefotaxime (CTX), ceftazidime (CTZ), and gentamicin (GEN). We could demonstrate that these models can effectively predict AMR with label encoding, one-hot encoding, and frequency matrix chaos game representation (FCGR encoding) on whole-genome sequencing data. We trained these models on a large AMR dataset and evaluated them on an independent public data set. Generally, RFs and CNNs perform better than LR and SVM with AUCs up to 0.96. Furthermore, we were able to identify mutations that are associated with AMR for each antibiotic. Availability Source code in data preparation and model training are provided at GitHub website (https://github.com/YunxiaoRen/ML-iAMR). Supplementary information Supplementary data are available at Bioinformatics online.

A total of 17 Enterobacter-like isolates were obtained from blood during a septicaemia outbreak in a neonatal unit, Tanzania, that could not be assigned based on phenotypic test to any existing Enterobacter species. Eight representative outbreak isolates were investigated in detail. Fermentation characteristics, biochemical assays and fatty acid profiles for taxonomic analysis were determined and supplemented with information derived from whole genome sequences. Phenotypic and morphological tests revealed that these isolates were Gram-stain-negative, rod-shaped, highly motile and facultatively anaerobic. The fatty acid profile was similar to those of the type strains for all recognized Enterobacter species, with quantitative differences in C 17 : 0 , C 18 : 1 v7c and C 17 : 0 cyclo fatty acids. Whole genome sequencing was used to identify taxonomically relevant characteristics, i.e. for 16S rRNA gene sequence analysis, multi-locus sequence analysis (MLSA), in silico DNA-DNA hybridization (is DDH) and average nucleotide identity (ANI). Draft genomes were approximately 4.9 Mb in size with a G+C content of 56.0 mol%. The 16S rRNA gene sequence of these eight isolates showed .97 % similarity to all Enterobacter species, while MLSA clustered them closely with the type strains of Enterobacter xiangfangensis and Enterobacter hormaechei. These eight strains showed less than 70 % is DDH identity with the type strains of Enterobacter species. In addition, less than 95 % ANI to the type strains of Enterobacter species was observed. From these results, it is concluded that these isolates possess sufficient characteristics to differentiate them from all recognized Enterobacter species, and should therefore be considered as representing a novel species. The name Enterobacter bugandensis sp. nov. is proposed with EB-247 T (5DSM 29888 T 5NCCB 100573 T ) as the type strain.

Two Listeria-like isolates obtained from mangrove swamps in Goa, India were characterized using polyphasic combinations of phenotypic, chemotaxonomic and whole-genome sequence (WGS)-based approaches. The isolates presented as short, non-spore-forming, Gram-positive rods, that were non-motile, oxidase-negative, catalase-positive and exhibited α-haemolysis on 5 % sheep- and horse-blood agar plates. The 16S rRNA gene sequences exhibited 93.7-99.7 % nucleotide identity to other Listeria species and had less than 92 % nucleotide identity to species of closely related genera, indicating that the isolates are de facto members of the genus Listeria. Their overall fatty acid composition resembled that of other Listeria species, with quantitative differences in iso C15 : 0, anteiso C15 : 0, iso C16 : 0, C16 : 0, iso C17 : 0 and anteiso C17 : 0 fatty acid profiles. Phylogeny based on 406 core coding DNA sequences grouped these two isolates in a monophyletic clade within the genus Listeria. WGS-based average nucleotide identity and in silico DNA-DNA hybridization values were lower than the recommended cut-off values of 95 and 70 %, respectively, to the other Listeria species, indicating that they are founding members of a novel Listeria species. We suggest the name Listeriagoaensis sp. nov. be created and the type strain is ILCC801 (=KCTC 33909;=DSM 29886;=MCC 3285).

The taxonomic status of all species of the genus Elizabethkingia was re-evaluated by comparative genomics based on whole-genome sequencing. From these results it is clear that Elizabethkingia endophytica is a later subjective synonym of Elizabethkingia anophelis. In addition, genome-based analysis revealed the misidentification of isolates previously identified by traditional approaches and indicates the presence of two more species. We propose a more rapid identification scheme on the basis of an in silico PCR assay derived from comparative genomics of whole-genome sequences (WGS) from 29 well-curated strains.