Project description:Mostly, lactic acid bacteria (LAB), including food-spoilage-associated, grow in communities consisting of several microbial species. The interspecies interactions eventually shape the structure and global activity of a given microbial community. Generally, the knowledge on system level responses of LAB (especially food-spoilage-associated) during such interactions is very limited. To study transcriptome responses during interactions between three MAP meat-spoilage-associated LAB (Leuconostoc gelidum subsp. gasicomitatum LMG 18811T, Lactococcus piscium MKFS47 and Lactobacillus oligofermentans LMG 22743T) we grew them separately in individual cultures and in mixed cultures pairwise (three combinations) and all together (triple culture) in three replicates on a glucose-containing growth medium (MRS) under microaerobic conditions at 25 C, samples were taken at three time points (3, 5 and 11 h) and extracted RNA were sequenced. The experiments were performed in two batches. At first (batch 1), co-cultivation of Le. gelidum and Lc. piscium accompanied with their individual cultures was performed and processed. The raw RNA-seq data for the individual culture of Lc. piscium from the batch 1 were uploaded earlier and are available in the ArrayExpress database under accession number E-MTAB-3245. Later (batch 2), two other pairwise cultures (Le. gelidum + Lb. oligofermentans and Lc. piscium + Lb. oligofermentans) and the triple culture were grown together with the individual cultures of all three LAB. Designations used for the sample names: G: Le. gelidum; P: Lc. piscium; O: Lb. oligofermentans; GO, PO, PG: pairwise cultures of the corresponding species; OPG: triple culture; b1: batch 1; b2: batch 2. Example: 3G2_b1: 3 h, Le. gelidum, 2nd replicate, batch 1; 11PO3_b2: 11 h, pairwise culture of Lc. piscium and Lb. oligofermentans, 3d replicate, batch 2. One sample (5PO3_b2) had very low number of reads ~ 9000, and, therefore, was not uploaded under this project. RNA extraction and library construction were done analogously as in the study (Andreevskaya M et al., 2015. Appl. Environ. Microbiol. 81:38003811, doi: 10.1128/AEM.00320-15). Ribosomal RNA was omitted. Libraries were sequenced in five lanes using SOLiD 5500XL (Life technologies, Foster City, Ca, USA) to produce 75 bp single-end reads. For the data submission, xsq files obtained from SOLiD 5500XL machine, were converted into fastq files. Adapter sequences were removed using cutadapt 1.4.1.
Project description:The tRNA gene expression change was evaluated by whole genomic microarray chip in Streptococcus oligofermentans challenged by H2O2.
Project description:L. oligofermentans was grown microaerobically on modified (without malic acid, cellulose and bromocresol green) MLD medium (Cavin JF et al., Appl Environ Microbiol 1989), containing either glucose, ribose or xylose as a sole carbon source (50mM) in three replicates. Samples were taken at three time points 20 h, 24 h and 30 h. RNA extraction and RNA sequencing libraries construction were done as described in Andreevskaya M et al., Appl Environ Microbiol 2015. Libraries were sequenced in two runs with six lanes overall using SOLiD 5500XL to produce 75 bp single-end reads. Obtained .xsq files were converted into .fastq files.
Project description:Bacterial membrane vesicles have been implicated in a broad range of functions in microbial communities from pathogenesis to gene transfer. Though first thought to be a phenomenon associated with Gram-negative bacteria, vesicle production in Staphylococcus aureus, Lactobacillus plantarum, and other Gram-positives has recently been described. Here we characterize MVs from three different Lactobacillus species (L. acidophilus, L. casei, and L. reuteri), determining that the size and protein composition of Lactobacillus-derived MVs have both similarities and differences with those produced by Gram-negative bacteria. Using proteomics, we identified more than 80 protein components from Lactobacillus-derived MVs, including some that were enriched in the vesicles themselves. For each species, vesicular proteins were categorized based on biological pathway and examined for subcellular localization signals in an effort to identify possible sorting mechanisms for MV proteins. Additionally, differences between MVs of other Lactobacillus species and Gram positive bacteria were highlighted. Information in this study will assist in elucidation of the formation and functions of MVs, as well as the development of therapeutic tools for vaccines, diagnosis, and therapeutic delivery.