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Weissella cibaria strain:GM93m3

ABSTRACT: Bacteria and yeast in animal milk: Collection of metabarcoding and Whole genome sequences

PROVIDER: PRJNA1086807 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR28369829_1.fastq.gz	Fastqsanger.gz
	SRR28369829_2.fastq.gz	Fastqsanger.gz
	SRR30755100_1.fastq.gz	Fastqsanger.gz
	SRR30755100_2.fastq.gz	Fastqsanger.gz
	SRR30755101_1.fastq.gz	Fastqsanger.gz

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Weissella cibaria

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Project description:Weissella cibaria KACC 11862 is a Gram-positive, heterofermentative, Leuconostoc-like lactic acid bacterium that is widely distributed in Korean traditional foods such as kimchi. Here we report the draft genome sequence of the type strain, W. cibaria KACC 11862 (1,599 known genes, 80 RNA genes), which consists of 72 large contigs (>100 bp in size).

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Project description:The first complete genome sequence of a phage infecting Weissella cibaria (Weissella kimchii) is presented. The bacteriophage YS61 was isolated from kimchi, a Korean fermented vegetable dish. Bacteriophages are recognized as a serious problem in industrial fermentations; however, YS61 differed from many virulent phages associated with food fermentations since it was difficult to propagate and was very susceptible to resistance development. Sequence analysis revealed that YS61 resembles Podoviridae of the subfamily Picovirinae. Within the subfamily Picovirinae, the 29-like phages have been extensively studied, and their terminal protein-primed DNA replication is well characterized. Our data strongly suggest that YS61 also replicates by a protein-primed mechanism. Weissella phage YS61 is, however, markedly different from members of the Picovirinae with respect to genome size and morphology. Picovirinae are characterized by small (approximately 20-kb) genomes which contrasts with the 33,594-bp genome of YS61. Based on electron microscopy analysis, YS61 was classified as a member of the Podoviridae of morphotype C2, similar to the 29-like phages, but its capsid dimensions are significantly larger than those reported for these phages. The novelty of YS61 was also emphasized by the low number of open reading frames (ORFs) showing significant similarity to database sequences. We propose that the bacteriophage YS61 should represent a new subfamily within the family Podoviridae.

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Differentiation between <i>Weissella cibaria</i> and <i>Weissella confusa</i> Using Machine-Learning-Combined MALDI-TOF MS.

Project description:Although Weissella cibaria and W. confusa are essential food-fermenting bacteria, they are also opportunistic pathogens. Despite these species being commercially crucial, their taxonomy is still based on inaccurate identification methods. In this study, we present a novel approach for identifying two important Weissella species, W. cibaria and W. confusa, by combining matrix-assisted laser desorption/ionization and time-of-flight mass spectrometer (MALDI-TOF MS) data using machine-learning techniques. After on- and off-plate protein extraction, we observed that the BioTyper database misidentified or could not differentiate Weissella species. Although Weissella species exhibited very similar protein profiles, these species can be differentiated on the basis of the results of a statistical analysis. To classify W. cibaria, W. confusa, and non-target Weissella species, machine learning was used for 167 spectra, which led to the listing of potential species-specific mass-to-charge (m/z) loci. Machine-learning techniques including artificial neural networks, principal component analysis combined with the K-nearest neighbor, support vector machine (SVM), and random forest were used. The model that applied the Radial Basis Function kernel algorithm in SVM achieved classification accuracy of 1.0 for training and test sets. The combination of MALDI-TOF MS and machine learning can efficiently classify closely-related species, enabling accurate microbial identification.

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