Search

Here we report the draft genome sequence of the Latilactobacillus curvatus PN39MY strain. The strain was isolated from Lithuanian traditionally (homemade) fermented cucumber. The genome consisted of 83 contigs with a total size of 1,899,018 bp, an N50 of 40562 and a GC% of 42.1. After sequence trimming, 83 contigs were annotated and 1910 genes were coding sequences. The average nucleotide identity (ANI) between PN39MY and Latilactobacillus curvatus _ZJUNIT8 was 99.45% identifying the strain as Latilactobacillus curvatus . No genes related to antimicrobial resistance or virulence factors were found. The data presented here can be used in comparative genomics to identify antimicrobial resistant genes, plasmids and/or virulence factors that may be present in related Latilactobacillus species. The draft genome sequence data was deposited at NCBI under Bioproject with the accession number PRJNA941180., Competing Interests: The authors declare that they have no conflict of interests that could have appeared to influence the work reported in this paper., (© 2023 The Authors.)

Most of the probiotics Bacterial cells, express native antibacterial genes, resulting in the production of, antimicrobial peptides, which have various applications in biotechnology and drug development. But the identification of antibacterial peptide, structural characterization of antimicrobial peptide and prediction on mode of action. Regardless of the significance of protein manufacturing, three individual factors are required for the production method: gene expression, stabilization and specific peptide purification. Our protocol describes a straightforward technique of detecting and characterizing particular extracellular peptides and enhancing the antimicrobial peptide expression we optimized using low molecular weight peptides. This protocol can be used to improve peptide detection and expression. The following are the benefits of this method, (DOI - https://doi.org/10.1016/j.ijbiomac.2019.10.196 [1]). The data briefly describe a simple method in detection identification, characterization of antimicrobial extracellular peptide, predicating the mode of action of peptide in targeting pathogens ( In-silico method), brief method on profiling of antimicrobial peptide and its mode of action [1]. Further the protocol can be used to enhance the specific peptide expressions, detection of peptides. The advantages of this technique are presented below:•Characterization protocol of specific antimicrobial peptide•The folded antimicrobial peptide expression were less expressed or non-expressed peptides.•Besides being low cost, less time-consuming, easy to handle, universal and fast to execute, the suggested technique can be used for multiple proteins expressed in probiotics ( Lactobacillus species ) expression system., Competing Interests: There is no conflict of interest between the authors., (© 2020 The Author(s).)