Dynamic analysis of the Lactococcus lactis transcriptome in cheeses made from milk concentrated by ultrafiltration reveals multiple strategies of adaptation to stresses.

Lactococcus lactis is used extensively for the production of various cheeses. At every stage of cheese fabrication, L. lactis has to face several stress-generating conditions that result from its own modification of the environment as well as externally imposed conditions. We present here the first in situ global gene expression profile of L. lactis in cheeses made from milk concentrated by ultrafiltration (UF-cheeses), a key economical cheese model. The transcriptomic response of L. lactis was analyzed directly in a cheese matrix, starting from as early as 2 h and continuing for 7 days. The growth of L. lactis stopped after 24 h, but metabolic activity was maintained for 7 days. Conservation of its viability relied on an efficient proteolytic activity measured by an increasing, quantified number of free amino acids in the absence of cell lysis. Extensive downregulation of genes under CodY repression was found at day 7. L. lactis developed multiple strategies of adaptation to stressful modifications of the cheese matrix. In particular, expression of genes involved in acidic- and oxidative-stress responses was induced. L. lactis underwent unexpected carbon limitation characterized by an upregulation of genes involved in carbon starvation, principally due to the release of the CcpA control. We report for the first time that in spite of only moderately stressful conditions, lactococci phage is repressed under UF-cheese conditions.

Extraction of RNA from cheese without prior separation of microbial cells.

In situ gene expression studies are promising approaches for improving our understanding of the cheese microbial flora. This requires efficient RNA extraction methods, but studies of cheeses are scarce. The objective of the present study was to determine whether RNA samples compatible with quantitative mRNA transcript analyses can be obtained without separating the cells from the cheese matrix. In the method that we describe, the cellular processes are stopped at the very beginning of the procedure. When cheeses were produced with Lactococcus lactis LD61 as the only starter microorganism, the integrity of the purified RNA was good, even for 2-week-old cheeses that had been incubated at 30 degrees C. In addition, the RNA samples did not contain any traces of RNases, and the amount of genomic DNA was negligible. A good level of reproducibility could also be achieved. When real-time reverse transcription-PCR analyses were normalized to the total RNA concentration, the amounts of 16S and 23S rRNA transcripts were constant during the 2-week incubation period, whereas the amount of tuf mRNA transcripts decreased substantially. RNA samples obtained using the method described in this study were compared to samples obtained using the method described by Ulvé et al. (J. Appl. Microbiol., in press), which is based on separation of the cells from the cheese matrix. For most of the 29 genes investigated, the transcript abundance was the same for both types of samples. Differences were observed mainly for genes whose expression has previously been shown to be modified by heat, acid, or osmotic stresses, such as busAA and glnQ.

Identification of chromosomal alpha-proteobacterial small RNAs by comparative genome analysis and detection in Sinorhizobium meliloti strain 1021.

BACKGROUND: Small untranslated RNAs (sRNAs) seem to be far more abundant than previously believed. The number of sRNAs confirmed in E. coli through various approaches is above 70, with several hundred more sRNA candidate genes under biological validation. Although the total number of sRNAs in any one species is still unclear, their importance in cellular processes has been established. However, unlike protein genes, no simple feature enables the prediction of the location of the corresponding sequences in genomes. Several approaches, of variable usefulness, to identify genomic sequences encoding sRNA have been described in recent years. RESULTS: We used a combination of in silico comparative genomics and microarray-based transcriptional profiling. This approach to screening identified ~60 intergenic regions conserved between Sinorhizobium meliloti and related members of the alpha-proteobacteria sub-group 2. Of these, 14 appear to correspond to novel non-coding sRNAs and three are putative peptide-coding or 5' UTR RNAs (ORF smaller than 100 aa). The expression of each of these new small RNA genes was confirmed by Northern blot hybridization. CONCLUSION: Small non coding RNA (sra) genes can be found in the intergenic regions of alpha-proteobacteria genomes. Some of these sra genes are only present in S. meliloti, sometimes in genomic islands; homologues of others are present in related genomes including those of the pathogens Brucella and Agrobacterium.

Characterization and expression patterns of Sinorhizobium meliloti tmRNA (ssrA).

tmRNA (ssrA) in Sinorhizobium meliloti is a small RNA annotated by homology with the Bradyrhizobium japonicum sra molecule. Here, this molecule is described in Sinorhizobium meliloti as a model for such molecules in Alphaproteobacteria subgroup-2. Northern blot analysis and mapping of both 5' and 3' ends of this tmRNA allow the identification of two pieces: a 214 nt mRNA-like domain and an 82 nt tRNA-like domain, both highly stable, whereas the premature form is unstable. Transcriptional studies reveal that Sinorhizobium meliloti tmRNA is mainly expressed during growth resumption, replication initiation and various stress responses.