When bacteria grow in a medium with two sugars, they first use the preferred sugar and only then start metabolizing the second one. After the first exponential growth phase, a short lag phase of nongrowth is observed, a period called the diauxie lag phase. It is commonly seen as a phase in which the bacteria prepare themselves to use the second sugar. Here we reveal that, in contrast to the established concept of metabolic adaptation in the lag phase, two stable cell types with alternative metabolic strategies emerge and coexist in a culture of the bacterium Lactococcus lactis. Only one of them continues to grow. The fraction of each metabolic phenotype depends on the level of catabolite repression and the metabolic state-dependent induction of stringent response, as well as on epigenetic cues. Furthermore, we show that the production of alternative metabolic phenotypes potentially entails a bet-hedging strategy. This study sheds new light on phenotypic heterogeneity during various lag phases occurring in microbiology and biotechnology and adjusts the generally accepted explanation of enzymatic adaptation proposed by Monod and shared by scientists for more than half a century.phenotypic heterogeneity | Gram-positive bacteria | metabolic fitness I n nature, bacteria are confronted with a wide range of environmental conditions that change over time. These conditions often elicit specific metabolic responses that increase the division rate of a cell. For example, when bacterial cells are exposed to multiple sugars, they do not metabolize all sugars simultaneously, but rather use the sugar that allows the highest celldivision rate. Cells switch to the less-preferred sugar when the most-preferred one (in many cases glucose) is depleted. Jacques Monod coined this phenomenon "diauxie" (1). Diauxie is characterized by two growth cycles-the first one on the preferred sugar, followed by a second one on the less-preferred sugar. Both are separated by a short period during which the population apparently does not grow. This period is known as the diauxie lag phase. It is typically assumed that cells need time to make the necessary enzymatic adaptations to switch from one substrate to another (2). However, the behavior of individual cells during the lag phase has not been studied in detail. Here, we examine the diauxic shift at the single-cell level in Lactococcus lactis using time-lapse microscopy, in addition to the traditional approach of studying population growth characteristics. Surprisingly, the lag phase at the switch from glucose to cellobiose consumption by L. lactis largely results from the heterogeneous response of cells to the environmental change, rather than the time it takes for cells to make the necessary metabolic adaptations. This result challenges Monod's view of enzymatic adaptation and asks for a revision on the interpretation of population lag phases.

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bGreen fluorescent protein (GFP) offers efficient ways of visualizing promoter activity and protein localization in vivo, and many different variants are currently available to study bacterial cell biology. Which of these variants is best suited for a certain bacterial strain, goal, or experimental condition is not clear. Here, we have designed and constructed two "superfolder" GFPs with codon adaptation specifically for Bacillus subtilis and Streptococcus pneumoniae and have benchmarked them against five other previously available variants of GFP in B. subtilis, S. pneumoniae, and Lactococcus lactis, using promoter-gfp fusions. Surprisingly, the best-performing GFP under our experimental conditions in B. subtilis was the one codon optimized for S. pneumoniae and vice versa. The data and tools described in this study will be useful for cell biology studies in low-GC-rich Gram-positive bacteria.

Accumulation of galactose in dairy products due to partial lactose fermentation by lactic acid bacteria yields poor-quality products and precludes their consumption by individuals suffering from galactosemia. This study aimed at extending our knowledge of galactose metabolism in Lactococcus lactis, with the final goal of tailoring strains for enhanced galactose consumption. We used directed genetically engineered strains to examine galactose utilization in strain NZ9000 via the chromosomal Leloir pathway (gal genes) or the plasmid-encoded tagatose 6-phosphate (Tag6P) pathway (lac genes). Galactokinase (GalK), but not galactose permease (GalP), is essential for growth on galactose. This finding led to the discovery of an alternative route, comprising a galactose phosphotransferase system (PTS) and a phosphatase, for galactose dissimilation in NZ9000. Introduction of the Tag6P pathway in a galPMK mutant restored the ability to metabolize galactose but did not sustain growth on this sugar. The latter strain was used to prove that lacFE, encoding the lactose PTS, is necessary for galactose metabolism, thus implicating this transporter in galactose uptake. Both PTS transporters have a low affinity for galactose, while GalP displays a high affinity for the sugar. Furthermore, the GalP/Leloir route supported the highest galactose consumption rate. To further increase this rate, we overexpressed galPMKT, but this led to a substantial accumulation of ␣-galactose 1-phosphate and ␣-glucose 1-phosphate, pointing to a bottleneck at the level of ␣-phosphoglucomutase. Overexpression of a gene encoding ␣-phosphoglucomutase alone or in combination with gal genes yielded strains with galactose consumption rates enhanced up to 50% relative to that of NZ9000. Approaches to further improve galactose metabolism are discussed.Lactococcus lactis is a lactic acid bacterium widely used in the dairy industry for the production of fermented milk products. Because of its economic importance, L. lactis has been studied extensively in the last 40 years. A small genome, a large set of genetic tools, a wealth of physiological knowledge, and a relatively simple metabolic potential render L. lactis an attractive model with which to implement metabolic engineering strategies (reviewed in references 21 and 57).In the process of milk fermentation by L. lactis, lactose is taken up and concomitantly phosphorylated at the galactose moiety (C-6) by the lactose-specific phosphoenolpyruvate (PEP)-dependent phosphotransferase system (PTS Lac ), after which it is hydrolyzed to glucose and galactose 6-phosphate (Gal6P) (64). The glucose moiety enters the glycolytic pathway upon phosphorylation via glucokinase to glucose 6-phosphate (G6P), whereas Gal6P is metabolized to triose phosphates via the D-tagatose 6-phosphate (Tag6P) pathway, encompassing the steps catalyzed by galactose 6-phosphate isomerase (LacAB), Tag6P kinase (LacC), and tagatose 1,6-bisphosphate aldolase (LacD) (Fig. 1). Curiously, during the metabolism of lactose by L. lactis, part of the Gal...

The effect of pH on the glucose metabolism of non-growing cells of L. lactis MG1363 was studied by in vivo NMR in the range 4.8 to 6.5. Immediate pH effects on glucose transporters and/or enzyme activities were distinguished from transcriptional/translational effects by using cells grown at the optimal pH of 6.5 or pre-adjusted to low pH by growth at 5.1. In cells grown at pH 5.1, glucose metabolism proceeds at a rate 35% higher than in non-adjusted cells at the same pH. Besides the upregulation of stress-related genes (such as dnaK and groEL), cells adjusted to low pH overexpressed H+-ATPase subunits as well as glycolytic genes. At sub-optimal pHs, the total intracellular pool of lactic acid reached approximately 500 mM in cells grown at optimal pH and about 700 mM in cells grown at pH 5.1. These high levels, together with good pH homeostasis (internal pH always above 6), imply intracellular accumulation of the ionized form of lactic acid (lactate anion), and the concomitant export of the equivalent protons. The average number, n, of protons exported with each lactate anion was determined directly from the kinetics of accumulation of intra- and extracellular lactic acid as monitored online by 13C-NMR. In cells non-adjusted to low pH, n varies between 2 and 1 during glucose consumption, suggesting an inhibitory effect of intracellular lactate on proton export. We confirmed that extracellular lactate did not affect the lactate: proton stoichiometry. In adjusted cells, n was lower and varied less, indicating a different mix of lactic acid exporters less affected by the high level of intracellular lactate. A qualitative model for pH effects and acid stress adaptation is proposed on the basis of these results.