Versatile Lactococcus lactis strains improve texture in both fermented milk and soybean matrices

Lactic acid bacteria (LAB) have long been used to extend the shelf life and improve the taste and texture of fermented milk. In this study, we investigated the texturing potential of LAB in plant-based fermentation by high-throughput screening of 1232 Lactococcus lactis strains for texture in milk and liquid soybean matrices. We found that most strains with texturing abilities in fermented milk were also capable of enhancing the texture in fermented soybean, despite the large differences in composition of the two matrices. Exocellular polysaccharide production is believed to contribute positively to fermented milk and plant-base texture. It appeared as if it was the properties of the polysaccharides rather than their protein interaction partners that were responsible for the enhanced texture in both matrices. We mined whole genome sequences of texturing strains for polysaccharide biosynthesis (eps) gene clusters. The comparative genomics approach revealed 10 texturing strains with novel eps gene clusters. Currently, the relationship between the novel genes and their functionality in milk and plant matrices is unknown.

Machine learning predicts and provides insights into milk acidification rates of Lactococcus lactis

Lactococcus lactis strains are important components in industrial starter cultures for cheese manufacturing. They have many strain-dependent properties, which affect the final product. Here, we explored the use of machine learning to create systematic, high-throughput screening methods for these properties. Fast acidification of milk is such a strain-dependent property. To predict the maximum hourly acidification rate (Vmax), we trained Random Forest (RF) models on four different genomic representations: Presence/absence of gene families, counts of Pfam domains, the 8 nucleotide long subsequences of their DNA (8-mers), and the 9 nucleotide long subsequences of their DNA (9-mers). Vmax was measured at different temperatures, volumes, and in the presence or absence of yeast extract. These conditions were added as features in each RF model. The four models were trained on 257 strains, and the correlation between the measured Vmax and the predicted Vmax was evaluated with Pearson Correlation Coefficients (PC) on a separate dataset of 85 strains. The models all had high PC scores: 0.83 (gene presence/absence model), 0.84 (Pfam domain model), 0.76 (8-mer model), and 0.85 (9-mer model). The models all based their predictions on relevant genetic features and showed consensus on systems for lactose metabolism, degradation of casein, and pH stress response. Each model also predicted a set of features not found by the other models.

Gene-Trait Matching and Prevalence of Nisin Tolerance Systems in Lactococus lactis

Lactococcus lactis cheese starter cultures typically contain a mix of many strains and may include variants that produce and/or tolerate the antimicrobial bacteriocin nisin. Nisin is well-established as an effective agent against several undesirable Gram-positive bacteria in cheese and various other foods. In the current study, we have examined the effect of nisin on 710 individual L. lactis strains during milk fermentations. Changes in milk acidification profiles with and without nisin exposure, ranging from unaltered acidification to loss of acidification, could be largely explained by the type(s) and variants of nisin immunity and nisin degradation genes present, but surprisingly, also by genotypic lineage (L. lactis ssp. cremoris vs. ssp. lactis). Importantly, we identify that nisin degradation by NSR is frequent among L. lactis and therefore likely the main mechanism by which dairy-associated L. lactis strains tolerate nisin. Insights from this study on the strain-specific effect of nisin tolerance and degradation during milk acidification is expected to aid in the design of nisin-compatible cheese starter cultures.

High-throughput screening for texturing Lactococcus strains

In the food industry, lactic acid bacteria (LAB) are used in dairy fermentations, extending the shelf life by lowering the pH and also affecting taste and texture of the fermented milk. The texture of fermented milk is an important quality parameter, affecting consumer acceptance. Finding LAB providing desired texture of a product is time consuming and laborious when using standard methods for measuring texture, e.g. rheology measurements. Screening of 986 Lactococcus lactis strains resulted in few strains with the ability to enhance texture, demonstrating the necessity of implementation of high-throughput screening methods. A high-throughput screening assay was developed, combining small-scale 96-well microtiter plates and pressure measurements during liquid handling, e.g. aspiration, to find strains that give good texture in fermented milk. Only about 1% of the strains were found to enhance milk texture. Two of the texturing strains belong to L. lactis subsp. lactis, which are the first texturing strains from this subsp. reported. Mining for eps gene clusters responsible for exocellular polysaccharide production was performed, as polysaccharide production can contribute positively to fermented milk texture. Comparative genomics approach revealed four types of texturing L. lactis strains with diverse eps gene clusters.

Construction and use of flow cytometry optimized plasmid-sensor strains

Determining the stability of plasmids in bacterial populations is traditionally performed by isolating a large number of clones followed by screening for the presence of plasmids by replica transfer to plasmid-selective agar plates. This is often a laborious task, especially when the intrinsic stability of the plasmid is high. The method presented here relies on a phenotypic (green fluorescence protein) marker, which is switched on if the host bacteria loses the residing plasmid. The incorporation of flow cytometry for single-cell detection and discrimination between plasmid-free and plasmid-harboring cells in a bacterial population facilitates a very high throughput of cells and thus provides excellent sensitivity and statistics toward detecting even very low levels of plasmid instability.

Cultivation-independent examination of horizontal transfer and host range of an IncP-1 plasmid among gram-positive and gram-negative bacteria indigenous to the barley rhizosphere

The host range and transfer frequency of an IncP-1 plasmid (pKJK10) among indigenous bacteria in the barley rhizosphere was investigated. A new flow cytometry-based cultivation-independent method for enumeration and sorting of transconjugants for subsequent 16S rRNA gene classification was used. Indigenous transconjugant rhizosphere bacteria were collected by fluorescence-activated cell sorting and identified by cloning and sequencing of 16S rRNA genes from the sorted cells. The host range of the pKJK10 plasmid was exceptionally broad, as it included not only bacteria belonging to the alpha, beta, and gamma subclasses of the Proteobacteria, but also Arthrobacter sp., a gram-positive member of the Actinobacteria. The transfer frequency (transconjugants per donor) from the Pseudomonas putida donor to the indigenous bacteria was 7.03 x 10(-2) +/- 3.84 x 10(-2). This is the first direct documentation of conjugal transfer between gram-negative donor and gram-positive recipient bacteria in situ.

Recovery of GFP-labeled bacteria for culturing and molecular analysis after cell sorting using a benchtop flow cytometer

Exciting opportunities exist for the application of simple fluorescence-activated cell sorting (FACS) to microbiology. The technology is widely available, but critical reports on the efficiency of cell sorting using benchtop instruments are lacking. It is vital that single cell sorting be of the highest purity possible. If purity is compromised detrital material or unwanted cells will be captured along with target cells of interest. Here, the isolation of fluorescent bacteria using a benchtop FACSCalibur-sort flow cytometer is described. The efficiency and purity of isolated cells was determined using fluorescence microscopy, culturing, and molecular analysis. To achieve high purity it was essential that the total event rate did not exceed 300 cells per second. This instrument was capable of recovering >55% sorted Escherichia coli cells, coupled with a purity exceeding 99%. However, the purity of recovered cells was substantially reduced (<25%) when the event rate increased. Cell sorting onto polycarbonate membranes did not reduce the ability of E. coli to form colonies, and sorting of ~1000 E. coli cells was sufficient for 16S rDNA amplification. Additionally, as few as 100 isolated Erwinia sp. carrying the gfp gene were amplified using seminested PCR targeting the single copy gfp gene. With such low numbers of bacteria being required for molecular identification, FACS can be achieved without the requirement for high-speed droplet cell sorters.

Direct Detection and Quantification of Horizontal Gene Transfer by Using Flow Cytometry and gfp as a Reporter Gene

A new cultivation-independent method for studying conjugal gene transfer between bacteria was evaluated. The method was based on direct detection and enumeration of donor and transconjugant bacterial cells by flow cytometry. Specific detection of transconjugants was obtained by using a conjugative plasmid tagged with a reporter gene (gfp) encoding green fluorescent protein. A chromosomal encoded repressor (lacI(ql)) repressed expression of GFP in the donor bacteria. Enumeration of the donor cells was performed after induction of GFP expression by the addition of inducer isopropyl-thio-beta-D-galactoside (IPTG). The method presented here provided simple and precise quantification of horizontal gene transfer between both Escherichia coli and Pseudomonas putida strains.

Presence of N-acyl homoserine lactones in soil detected by a whole-cell biosensor and flow cytometry

Quorum sensing enables bacteria to regulate expression of certain genes according to population density. N-acyl homoserine lactone (AHL)-based quorum sensing is known to be widespread among gram-negative bacteria. Several bacterial whole-cell biosensors for AHL detection have been developed and some were used in in situ studies of AHL production. From these studies our knowledge of the significance of quorum sensing in various environments has been improved. However, very little is known about production of AHLs in soil environments. In the present study, an approach for detecting AHL production in bulk soil was developed. A whole-cell biosensor based on the regulatory region of the lux-operon from Vibrio fischeri fused to gfp was constructed, resulting in a luxR-PluxI-gfpmut3*-fusion in the high copy plasmid, pAHL-GFP. Escherichia coli MC4100 harboring pAHL-GFP responded to the AHL-compound N-octanoyl homoserine lactone (OHL) by expressing green fluorescence. In situ application of E. coli MC4100/pAHL-GFP was tested by adding OHL in different concentrations to sterile soil microcosms. E. coli MC4100/pAHL-GFP were incubated in the soil microcosms and extracted by an improved Nycodenz-extraction method optimized for flow cytometry. The presence of induced cells was then verified by single-cell analysis by flow cytometry. OHL concentrations between 0.5 and 50 nmol per g soil were detected. When introducing the AHL-producing Serratia liquefaciens to soil microcosms, expression of green fluorescent protein was induced in E. coli MC4100/pAHL-GFP. Thereby, the ability of this strain to detect excretion of AHLs by S. liquefaciens in sterile soil was shown. The use of an improved extraction method and a whole-cell biosensor combined with flow cytometry analysis proved to be promising tools in future studies of AHL production by microbial populations in soil environments.