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* Moorepark Food Reseach Centre, Teagasc, Fermoy, Ireland
University of Wisconsin, Madison 53706
Utah State University, Logan 84322
Victoria University, Melbourne, Victoria, Australia
# Michigan State University, E. Lansing 48842
2 Corresponding author: ustunol{at}msu.edu
| ABSTRACT |
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Key Words: starter culture historical overview lactic acid bacteria probiotic
| NONSTARTER LACTIC ACID BACTERIA |
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108 cfu/g after manufacture. A doubling time of 8.5 d has been found for NSLAB in Cheddar cheese ripened at 8°C (Jordan and Cogan, 1993). Beresford and Williams (2004) have summarized the NSLAB that have been identified in > 50 varieties of cheese. In most cheeses (regardless whether they are made from raw or pasteurized milk), the dominant organisms were facultatively homofermentative lactobacilli (FHL) especially Lactobacillus casei, Lactobacillus plantarum, and Lactobacillus curvatus. Obligate heterofermenters, particularly Lactobacillus brevis, were found in lower numbers. Previous reviews of NSLAB include those of Peterson and Marshall (1990) and Fox et al. (1998).
Taxonomy
The taxonomy of Lb. casei is problematic and has been reviewed by Dellaglio et al. (2002). The type strain of Lb. casei (Lb. casei ATCC 393) is, in fact, a strain of Lactobacillus zeae and does not hybridize with authentic strains of Lb. casei. For this reason, Collins et al. (1989) proposed that the latter strains be called Lactobacillus paracasei, whereas Dicks et al. (1996) proposed that these strains still be considered as Lb. casei but that Lb. casei ATCC 334, which was originally isolated from Emmental cheese, be considered the type strain of Lb. casei and that the name Lb. paracasei be rejected. Most strains isolated from cheese are Lb. (para)casei. Lactobacillus casei ATCC 334 has been sequenced and is available on the BLAST Web site (http://www.ncbi.nlm.nih.gov/BLAST/). Vasquez et al. (2005) used restriction enzyme analysis, temporal temperature gradient gel electrophoresis, and ribotyping to evaluate 37 strains of Lb. casei, Lb. paracasei, Lb. zeae, and Lb. rhamnosus, many of which were isolated from cheese, including Lb. casei ATCC 393. Sequencing the 16S rRNA genes showed that polymorphisms were present. This heterogeneity provides one explanation for the difficulty encountered in obtaining clear-cut distinctions between Lb. casei and Lb. paracasei.
Detection
Direct plating on selective media such as de Man, Rogosa, and Sharpe (MRS) agar adjusted to pH 5.4 or Lactobacillus selection medium is normally used to detect NSLAB. Obligately heterofermentative lactobacilli and leuconostocs are vancomycin resistant and can be isolated using nutritionally suitable media containing vancomycin (20 to 30 µg/100 mL). However, many FHL and pediococci are also vancomycin resistant, due to production of peptidoglycan precursors ending in D-lactate rather than D-alanine. A potential problem in counting NSLAB is that the low numbers are occluded in a solid matrix raising important questions—are they all in the aqueous phase, can they move freely in the aqueous phase, and do they form microcolonies? Molecular methods, including random amplified polymorphic DNA (RAPD)-PCR (Fitzsimons et al., 1999; Baruzzi et al., 2000; deAngelis et al., 2001; Somers et al., 2001; Antonsson et al., 2003; Sanchez et al., 2005), repetitive-element (Rep)-PCR (Berthier et al., 2001), temporal temperature gradient gel electrophoresis (TTGE; Antonsson et al., 2003), denaturing gradient gel electrophoresis (DGGE; Ogier et al., 2002), single strand conformation polymorphism (SSCP; Duthoit et al., 2003), and SDS-PAGE (deAngelis et al., 2001) are also used.
Sources
Milk is the major source of NSLAB in production of the raw milk cheese Comté cheese (Berthier et al., 2001). Many FHL resist pasteurization implying that raw milk is also a likely source in cheese made from pasteurized milk (Jordan and Cogan, 1999). Lactobacilli have also been isolated from drains, floors near vats, new vats, counter tops, vacuum packing machines, molds, and biofilms (Somers et al., 2001); the latter could be important when vats are refilled without being adequately cleaned.
The number of different strains of each species of FHL involved has been studied to a limited extent. Fitzsimons et al. (1999) found an average of 7 strains (mainly Lb. casei) per cheese and that cheese from different factories had different strains, whereas Crow et al. (2001) found that 91% of strains isolated from 6 factories over a 24-mo period comprised 6 strains (mainly Lb. casei and Lb. rhamnosus); 1 strain dominated 10% of the cheeses. These researchers also found the same strain in cheese from consecutive seasons, suggesting that the cheese factory environment was their source. Crow et al. (2001) found that 7 of 24 combinations of 2 to 4 strains from an empirical selection of 24 strains gave consistent improvement in cheese flavor.
Growth in Milk
There is very little information on the growth of FHL in milk. Khalid and Marth (1990) studied 3 strains of Lb. casei and 6 strains of Lb. plantarum. After 1 d at 37°C, the pH values ranged from 5.8 to 6.0. Thereafter, the pH values decreased slowly and after 6 d, ranged from 4.5 to 6 for the Lb. plantarum strains and pH 4 to 5 for the Lb. casei strains.
Because NSLAB are prototrophic for several amino acids and milk is deficient in free amino acids, proteinase activity is important for their growth in milk. ßCasein was preferentially hydrolyzed over
s-casein by the Lb. plantarum strains, whereas only one strain of L. casei showed any activity on ß-casein (Khalid and Marth, 1990). Naes and Nissen-Meyer (1992) purified the proteinase of Lb. (para)casei ssp. (para)casei NCDO 151. It eluted at similar salt concentrations as the lactococcal proteinase in anion-exchange and hydrophobic interaction chromatography, and had the same N-terminal sequence as that of the lactococcal proteinase, at least from the second to the ninth AA residue (the first one gave an equivocal result). In addition, the respective prt genes of Lb. (para)casei and Lactococcus lactis showed extensive homology suggesting a strong relationship between them.
Metabolism
Lactobacillus casei and Lb. plantarum ferment lactose by the phosphoenol pyruvate phosphotransferase system, in which phosphoenol pyruvate is the source of energy in a complex series of reactions initially yielding lactose-P on transport across the cell wall, which is then hydrolyzed by phospho-ß-galactosidase to glucose and galactose-6-phosphate. Both sugars are then fermented by glycolysis yielding 2 mol of lactic acid/mol of hexose used. In contrast, gluconate is fermented by FHL by the heterofermentative pathway, yielding 1 mol of CO2, 1 mol of ethanol/acetic acid, and 1 mol of lactic acid per mol used. For this reason, these lactobacilli are called facultative heterofermentative lactobacilli. Both L- and D-lactate are produced by stereospecific NADH-dependent lactate dehydrogenases (LDH) in varying ratios. A lactate racemase is also involved in producing D-lactate, because knockout of the D-LDH in Lb. plantarum NCIMB 8826 still resulted in D-lactate production (Goffin et al., 2005). Knockout of both L- and D-LDH in the strain resulted in acetoin (rather than lactate) production, peptidoglycan precursors ending in D-alanine (rather than D-lactate), and vancomycin sensitivity (Ferain et al., 1996). A 6-gene operon was identified but no clear function could be attributed to any of the genes, except one that encoded a membrane protein of the aquaglyceroporin family. The NSLAB are also responsible for converting L-lactate to D-lactate during cheese ripening, a reaction that is slower at higher salt concentrations. When sufficient D-lactate is formed, Ca D-lactate precipitates as white spots in cheese because Ca D-lactate is more insoluble than Ca L-lactate.
The FHL are unable to use citrate as an energy source but are able to metabolize it in the presence of a fermentable sugar by a similar pathway to that of Cit+ lactococci (Palles et al., 1998). Faster catabolism of citrate occurs in the presence of galactose than of glucose or lactose suggesting that catabolite repression by glucose may be operating.
Succinate is a flavor enhancer found in Emmental cheese at levels of 0.8 to 1.4 mg/g. Kaneuchi et al. (1988) tested 144 strains representing 15 species of lactobacilli for succinate production after incubation in MRS for 2 d at 35°C. Some species, particularly Lactobacillus reuteri and Lactobacillus cellobiosus but not Lb. plantarum or Lb. (para)casei, produced succinate. Lindgren et al. (1990) found that all 5 strains of Lb. plantarum (silage inoculants) tested could produce succinate from a mixture of lactate and citrate in a chemically defined medium over long periods (70 d) at 28°C, oxidizing the lactate to acetate and formate (pyruvate-formate lyase activity) and reducing the citrate to succinate (citrate lyase, malate dehydrogenase, fumarase, and fumarate reductase activities). Citrate was not used as energy source in the absence of glucose. Dudley and Steele (2005) found that some strains of Lb. plantarum, but not Lb. casei or Lb. rhamnosus, produced succinate in 100 mM phosphate, pH 7.0, containing citrate and lactate. Succinate can also be produced from aspartate and propionate or lactate by propionibacteria (Crow, 1986).
Oude Elferink et al. (2001) showed that Lactobacillus buchneri and the closely related species, Lactobacillus parabuchneri, but not Lactobacillus kefir or Lb. plantarum, were able to stoichiometrically degrade lactate into 0.5 mol each of acetate, CO2, and 1,3 propanediol at pH 4.0. No activity was observed at pH > 5.8. Only very small amounts of growth occurred from optical density 0.04 to 0.18 (
2 generations). Whether this reaction occurs in cheese has not been determined.
Lactobacilli and pediococci are able to produce acetate and CO2 from lactate in the presence of O2 under Cheddar cheese ripening conditions (Thomas, 1987). This system depends on the O2 transfer rate of the plastic wrapper used and the ripening time.
Growth Substrates in Cheese
The NSLAB require an energy source for growth. All the lactose in cheese is metabolized within the first weeks of ripening. Thus, sugars in lysed cells and in the milk fat globule membrane, and citrate and argi-nine have been suggested as possible substrates. Citrate is not used as an energy source by NSLAB although it is metabolized by many if sugars are also present. Arginine is an unlikely source for reasons described below. Residual lactose is still the most likely substrate because only about 2 mg/g would be required for growth to 107 to 108 cfu/g.
Lactobacillus plantarum, Lb. brevis, Leuconostoc mesenteroides, Pediococcus acidilactici, and Pediococcus pentosaceus cannot grow on D-ribose as the sole source of fermentable carbohydrate, but can metabolize it if glucose is also present (Westby et al., 1993). Increased biomass over that on glucose alone was produced, implying that these species obtain energy from ribose metabolism. How this occurs is not clear but the results suggest that ribose from RNA degradation in lysed cells would not be a substrate for growth in cheese because insufficient lactose or other fermentable sugar would be present.
Arginine Metabolism and Biogenic Amine Production
Many NSLAB can metabolize arginine by the deininase pathway forming ornithine, citrulline, NH3, and CO2, and generating 1 mol of ATP from each mol of arginine used in the process (Poolman, 1993). Theoretically, therefore, arginine is a potential energy source for lactic acid bacteria (LAB). Laht et al. (2002) found a curvilinear relationship between the log of the NSLAB and the concentration of ornithine in Swiss-type cheese. If arginine were being used as an energy substrate, one would expect a linear relationship; however, arginine could have been used in other reactions. Lactic acid bacteria have considerable requirements for amino acids (and vitamins) and so most media contain sources of amino acids such as yeast extract and peptones. Such constituents also contain residual sugars and, to our knowledge, no one has shown that LAB actually utilize arginine in chemically defined media without another energy source. Laht et al. (2002) did measure arginine in a tryptone and yeast extract medium and showed that growth over 9 d at 30°C increased from 0.03 to 0.13 (i.e., 2 generations) during which time arginine decreased from 0.45 to 0.24 mM; 2.5 mM lactate was also produced, indicating that residual sugar was present in the medium.
Many NSLAB (e.g., Lb. buchneri) have the potential to produce biogenic amines, particularly histamine from histidine (Sumner et al., 1985); in addition, tyramine (from tyrosine), cadaverine (from lysine), and putrescine (from ornithine) can be produced. Histamine and tyramine are metabolised by Brevibacterium linens during ripening of smear-ripened cheese (Leuschner and Hammes, 1998).
NSLAB and Cheese Flavor Formation
Raw milk cheeses are considered to have better flavor than those made from pasteurized milk, indicating that the raw milk microflora (including NSLAB) and perhaps heat-sensitive enzymes have an effect on flavor.
Because NSLAB grow to considerable numbers in cheese and many cheeses are ripened for long periods, the effect that selected strains of NSLAB have on cheese flavor development has been intensively studied. The early results (reviewed by Peterson and Marshall, 1990) were equivocal. This may have been due to the lack of reliable selective media for lactobacilli, the inability to distinguish between the adventitious NSLAB and those deliberately added, and the fact that many mother and bulk cultures would have been contaminated with lactobacilli, leading to control cheese with high levels of lactobacilli. Results from recent studies generally show a positive effect of FHL on flavor (Puchades et al., 1989; Broome et al., 1990; McSweeney et al., 1993; Lynch et al., 1996; Swearingen et al., 2001; Antonsson et al., 2003).
Enterococci, particularly Enterococcus faecalis, Enterococcus faecium, and Enterococcus casseliflavus, are found in high numbers (
107cfu/g) in many cheeses made around the Mediterranean and are thought to have a positive influence on flavor (Franz et al., 1999). They grow during Cheddar cheese manufacture, and, although some of them showed increased proteolysis, there was no statistical effect on flavor (Rea et al., 2004). Pediococcus pentosaceus improves the flavor of the soft Greek cheese, Teleme, which is made with yogurt starter cultures (Tzanetakis et al., 1991).
Autolysis by starter bacteria and subsequent release of intracellular enzymes is considered important in developing cheese flavor. Little work has been done on autolysis by NSLAB but little lysis occurs during cheese ripening (Fox et al., 2000). In vitro, more autolysis occurs in exponential phase cells of Lb. casei than in stationary phase cells (Kang et al., 1998). Bacteriocins also involve cell lysis but their potential role in causing lysis of NSLAB during cheese ripening has not been considered except for the report of Ryan et al. (1996), who showed that the use of a bacteriocin-producing starter prevented the growth of NSLAB in cheese. Cell lysis by virulent phage for Lb. plantarum and Lb. casei has been reported (Kashige et al., 2000; Capra et al., 2006). The effect of both bacteriocins and phage on lysis of FHL during cheese ripening on flavor development needs to be evaluated.
Yvon et al. (1998) showed that addition of
-ketoglutarate (
-KG) to cheese curd increased glutamate production, decreased the concentration of other amino acids, and improved the aroma (the cheese was not tasted). This has led to considerable emphasis on flavor formation from amino acid metabolism, particularly methionine, the major S-containing amino acid in milk proteins. Sulfur-containing compounds (e.g., methanethiol, dimethyl sulfide, trimethyl sulfide) contribute to the cheesy, cabbagy, and garlic flavors of cheese. These compounds are produced in very small amounts but they have very low flavor threshold levels. Methanethiol is formed in 2 ways from methionine: directly via a methionine-
-lyase (which has been purified from B. linens and Lc. lactis) or indirectly through a methionine amino transferase (AT). Only 5 out of 22 strains of Lb. plantarum and 2 out of 7 strains of Lb. casei showed AT activity (Amarita et al., 2001), which also requires an amino group acceptor.
-Ketoglutarate produced from glutamate by glutamate dehydrogenase (GDH) is considered the most important source and its formation the rate-limiting step in cheese ripening.
Reports on GDH activity by cheese-associated bacteria are limited. Tanous et al. (2002) found GDH in 4 of 10 strains of Lb. casei and 13 of 14 strains of Lb. plantarum; however, it was not determined if the producing strains enhanced flavor production in cheese. In vitro, flavor formation by Lc. lactis and GDH-containing lactobacilli has been shown with lactobacilli producing
-keto and hydroxyl acids from phenylalanine, leucine, and methionine in the presence of glutamate from which the lactococci produced flavorful carboxylic acids (Kieronczyk et al., 2003). It would be interesting to study the effects of an FHL containing both AT and GDH activities on cheese ripening.
After vanillin, benzaldeyde is the second most important flavor compound in the flavor industry (Nierop Groot and de Bont, 1998). Lactobacillus plantarum produces it by transaminating phenylalanine to phenylpyruvate, from which benzaldehyde is produced by chemical degradation. Addition of Cu2+ also resulted in production of phenyl acetate, mandelate, and phenylglyoxylate from the phenylpyruvate.
Chemical degradation of the products of aromatic amino acid metabolism can impart off-flavors to cheese. Examples include skatole produced from indole-3-lactate, which, in turn is produced from tryptophan and phenyl acetate, and phenethanol and phenylpropionate produced from phenylalanine (Gumalla and Broadbent, 1999, 2001).
Lactobacillus plantarum isolated from silage also has the ability to produce antifungal compounds including 3 phenyllactate and 2 cyclic dipeptides (Strom et al., 2002). Whether this occurs in cheese has not been determined.
Insights from Genomic Studies on Dairy LAB
Genomes of LAB contain both plasmid and chromosomal DNA (Broadbent, 2001). The characterization of plasmids in LAB has been an ongoing area of study for the past 30 yr (Broadbent, 2001). Characterization of LAB chromosomes began in the early 1970s; however, the most exciting developments in LAB genomics are now being fueled by nucleotide sequence information for complete genomes. Currently, the genome sequence is known or is being determined for more than 20 LAB (Table 1
). The value of genome sequence information for dairy-related LAB cannot be overstated. This section will cover briefly some of the advances that the availability of genome sequences has already made possible.
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There are 2 main foci in this section. The first is how the availability of genomic sequences has provided new insights to how LAB genomes have changed during evolution in the milk environment. The second is how genomic information can be used to further our understanding of dairy fermentations; this section is based on research conducted in collaboration between J. Steele and J. Broadbent.
It is thought that LAB emerged 1.5 to 2.0 billion years ago, whereas the milk environment is a relatively recent environment. The milk environment certainly arose after the emergence of mammals (approximately 60 million years ago) and more likely became a viable environment for nonpathogenic microorganisms around the time that man domesticated dairy animals (approximately 10,000 yr ago; Fox and McSweeney, 2004). The availability of dairy LAB genomic sequences has shed new light on the evolution of these organisms to the milk new environment. Milk is a nutritionally rich, stable environment containing lactose as the primary carbohydrate and caseins as a rich potential source of amino acids; milk also contains most vitamins and minerals. Examination of dairy LAB genomes shows that gene loss or inactivation as well as metabolic simplification is a central component of the evolution of these organisms to milk (Bolotin et al., 2001, 2004; Makarova et al., 2006; van de Guchte et al., 2006). This is particularly true in genes involved in amino acid biosynthesis. Selective pressure during growth in milk has favored microorganisms that are capable of obtaining amino acids from caseins via their relatively complex proteolytic enzyme system and loss or inactivation of genes for de novo biosynthesis of amino acids. Additionally, it is clear that horizontal gene transfer, a process by which an organism transfers genetic material to different organisms, has played a significant role in the evolution of these organisms. For example, the ability to utilize lactose as an energy source has evolved independently in different dairy LAB via horizontal gene transfer. The availability of dairy LAB genomic sequences supports the view that these organisms have evolved from other LAB via gene loss or inactivation, as well as via horizontal gene transfer, rapidly resulting in organisms that are specialists for growth in milk (Bolotin et al., 2004; Makarova et al., 2006; van de Guchte et al., 2006).
The availability of genomic sequences has also allowed researchers to rapidly discern the metabolic potential of the sequenced strains. For example, because proteolysis plays such a critical part in cheese ripening, the Steele research group and collaborators spent more than a decade examining the proteolytic system of Lactobacillus helveticus CNRZ32 (Christensen et al., 1999; Broadbent and Steele, 2007). The outcome of these efforts was the characterization of 12 CNRZ32 genes that encode proteolytic enzymes (Table 2
). Despite these concerted efforts, initial annotation of the CNRZ32 genome sequence revealed a large number of additional genes in CNRZ32 whose products are predicted to contribute to the proteolytic enzyme system of this bacterium (Table 2
).
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The availability of multiple genome sequences within a species allows for the study of strain-specific traits. For example, a comparison of the complete genome sequences of 2 strains of Lactobacillus delbrueckii ssp. bulgaricus identified regions involved in bacteriophage resistance, a trait known to vary from strain to strain.
The availability of genome sequences also allows studies to follow global gene regulation via DNA microarrays. A major strength of this technology is that it provides a nonbiased global view of an organisms transcriptional response to an environment of interest. This unbiased holistic view consistently yields unexpected observations that ultimately lead to the identification of genes with critical functions in the physiological system of interest. Our initial study investigated expression of these genes during growth in milk compared with a rich laboratory medium (Smeianov et al., 2007). The array data showed growth of Lb. helveticus CNRZ32 in milk induced genes encoding cell-envelope proteinases, oligopeptide transporters, and endopeptidases, as well as enzymes for lactose, cysteine, and hypothetical phosphoserine utilization pathways, de novo synthesis, and salvage pathways for purines and pyrimidines, and other functions. The identification of a pathway for the utilization of serine-phosphate (Figure 1
) during growth of Lb. helveticus CNRZ32 in milk was an unexpected. However, given the relative abundance of serine-phosphate residues in casein, this pathway likely represents a readily explained adaptation of Lb. helveticus to the milk environment.
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Engineering Culture Attributes
Metabolic engineering of cells is founded upon the power to precisely establish or redirect cellular functions through DNA manipulation. Today, the ability to genetically manipulate or engineer animals, plants, and microorganisms to manufacture, modify, or improve products or processes has grown into a multibillion dollar enterprise that has revolutionized the pharmaceutical, chemical, and agricultural industries. Many of the most exciting and successful applications involve microbial products. Although the use of recombinant DNA (rDNA)-derived microbial products in agricultural and food systems is commonplace, a similar situation does not apply to the use of live, rDNA-containing microbial cells. When we consider potential applications for genetically modified dairy cultures, it is important to recognize a few key principles. First, starter technology in dairy foods began in the late 19th century, and a long history of their safe application in human food has afforded GRAS (Generally Recognized as Safe) status to these bacteria. Moreover, current knowledge of starter physiology and genetics has already identified clear strategies to improve the industrial performance of these microbes. In some cases, genetic strain improvements can be effected by means that do not require the introduction and expression of rDNA molecules. Two examples of genetic improvements that reflect these criteria and have already been implemented by industry involve strategies to enhance phage-resistance and diacetyl production in lactococci.
Bacteriophage Resistance
Bacteriophages (phage) are viruses that attack and can destroy bacterial cells. The inhibitory effect of phages on dairy fermentations has been recognized for more than 60 yr, and their destructive impact has focused worldwide attention on molecular genetics and evolution of LAB phages. Because industrial fermentations with Lc. lactis and Strep. thermophilus starters suffer the greatest incidence of loss, current understanding of LAB phage biology is based largely on phages infecting these 2 species (Garvey et al., 1995; Brüssow et al., 1998). In lactococci, bacteriophage resistance is one of several industrially important traits that may be encoded by plasmid DNA. Fortuitously, many lactococcal phage-resistance plasmids can also be transferred into other strains of Lc. lactis by conjugation (Klaenhammer and Fitzgerald, 1994). Because conjugation is a natural form of gene transfer, dairy LAB that are genetically improved by this method bypass most of the regulatory and sociopolitical issues associated with rDNA technology. Sanders and coworkers (1986) were the first to demonstrate the feasibility of introducing plasmidcoded phage defense mechanisms into commercial Cheddar cheese starter bacteria by conjugation, and this strategy has been emulated by other researchers around the world (Klaenhammer and Fitzgerald, 1994). As a result, conjugation-derived, phage-insensitive dairy starter cultures have been in commercial use for many years.
Although conjugation of native phage-resistance plasmids has been of great benefit to the dairy industry, the flexibility of this strategy is clearly limited to plasmids that can be transferred by this process. In some countries, this limitation has been overcome by electroporation with native phage-resistance plasmids, and starter lactococci that have been improved by this process are in commercial use.
Metabolic Engineering for Diacetyl Production
Diacetyl is an industrially important compound used to impart buttery flavor and aroma to many foods. Diacetyl is derived from citrate metabolism by LAB, and knowledge of the enzymology and genetics of citrate metabolism has identified several strategies to metabolically engineer Lc. lactis strains for enhanced diacetyl production (deVos, 1996). One effective avenue toward this end involves inactivation of the gene encoding
-acetolactate decarboxylase (aldB), the enzyme that converts
-acetolactate to acetoin (Figure 1
). This mutation promotes an accumulation of
-acetolactate, the immediate precursor to diacetyl, which in turn leads to an increased level of diacetyl in the growth medium.
Although aldB inactivation can certainly be achieved by rDNA methodology (Swindell et al., 1996), naturally occurring aldB mutants can be isolated by growth selection in a medium containing leucine, but not valine. This approach is possible because
-acetolactate is also an intermediate in leucine and valine biosynthesis, and leucine acts as an allosteric activator of
-acetolactate decarboxylase (Goupil-Feuillerat et al., 1997). Thus, wild-type lactococci cannot grow in this medium because Leu stimulates the enzymatic conversion of
-acetolactate to acetoin, leaving none to support Val biosynthesis. However, aldB mutants are able to synthesize Val in the presence of Leu, and so will continue to grow. Interestingly, industrial application of this strategy was initially limited by the finding that most commercial Lc. lactis strains are auxotrophic for branched-chain amino acids. To overcome this shortcoming, Curic et al. (1999) transformed industrial strains with an rDNA plasmid that encoded enzymes for branched-chain amino acid biosynthesis. Selection for naturally occurring aldB mutants among transformants can then be performed as outlined above, and food-grade variants of those cells are subsequently obtained by plasmid curing. Starter bacteria derived by this strategy are natural mutants that lack any foreign DNA, and this feature has facilitated their commercial application in some countries, including the United States.
Current Application of rDNA in Starter Technology
Although cells containing rDNA molecules are not in commercial use, rDNA-based experiments in research laboratories continue to fuel important advancements in culture technology. This is because rDNA methods allow for the construction of strain derivatives that differ only by the action (null mutants) or activity (expression mutants) of a particular enzyme or metabolic pathway of interest. By comparing the phenotype of the wild-type bacterium to its isogenic derivative, the role of that enzyme or pathway in a given process can often be clearly defined. The complexity of the LAB proteolytic enzyme system, for example, has long confounded efforts to determine the role of individual enzymes in cheese proteolysis and maturation. However, construction of isogenic peptidase or proteinase mutants has allowed researchers to systematically determine the contribution of several enzymes on cell growth and cheese chemistry (Christensen et al., 1999; Sridhar et al., 2005; Broadbent and Steele, 2006). With this type of knowledge, dairy technologists can often use strain selection or screening methods to identify starter bacteria that already possess various traits of interest.
Media Development for Selective Enumeration of LAB
The health benefits derived by the consumption of foods containing acidophilus and bifidus products are well documented and more than 90 probiotic products are available worldwide. A number of health benefits have been claimed for probiotic bacteria (defined as live microorganisms, which, when administered in adequate amounts, confer a health benefit on the host) such as Lb. acidophilus, Bifidobacterium spp., and Lb. casei. Because of this, these organisms are increasingly incorporated into dairy foods.
To provide health benefits, the suggested level for probiotic bacteria is
106 cfu/g of product (Shah, 2000). However, studies have shown low viability of probiotics in market preparations (Shah et al., 1995; Shah, 2000). The need to monitor survival of Lb. acidophilus and Bifidobacterium in fermented products has often been neglected, with the result that a number of products reach the market containing low concentrations of viable bacteria (Shah et al., 1995). To assess viability and survival of probiotic bacteria, it is important to have good methods for selective enumeration of these probiotic organisms. Several media for selective enumeration of Lb. acidophilus and Bifidobacterium spp. have been proposed (Dave and Shah, 1996; Shah, 2000). However, most of these methods are based on pure cultures of these organisms. Similarly, there are only a few reports that have described selective enumeration of Lb. casei in the presence of other probiotic organisms and yogurt starter bacteria (Strep. thermophilus and Lb. delbrueckii ssp. bulgaricus; Champagne et al., 1997; Ravula and Shah, 1998). An important parameter in monitoring viable organisms to assess product quality is the ability to count Lb. acidophilus, Bifidobacterium spp., and Lb. casei differentially. Selective enumeration of Lb. reuteri, Lb. plantarum, Lb. rhamnosus, and Propionibacterium has not been studied extensively.
Selective Enumeration of Lb. acidophilus, Bifidobacterium spp., Lb. casei, Lb. rhamnosus, and Propionibacterium
Yogurt is made from the symbiotic growth of Strep. thermophilus and Lb. delbrueckii ssp. bulgaricus. These bacteria do not survive the gastric passage or colonize the gut. Hence, the recent trend is to add Lb. acidophilus, Bifidobacterium spp., and Lb. casei to yogurt. Lactobacillus johnsonii and Lactobacillus crispatus have also been used in probiotic products. In some products such as cheese-based dips, the trend is to use other probiotic cultures such as Lb. rhamnosus and Propionibacterium.
Several media have been developed for differential enumeration of yogurt culture organisms (Lb. delbrueckii ssp. bulgaricus and Strep. thermophilus), including Lees agar (Lee at al., 1974), and reinforced clostridial agar adjusted to pH 5.5 (Johns et al., 1978). Several media have been suggested for the enumeration of Lb. acidophilus, including bile medium (Collins, 1978), Rogosa agar, MRS medium containing maltose, raffinose, or melibiose in place of dextrose (Hull and Roberts, 1984), cellobioseesculin agar (Hunger, 1986), and agar medium based on X-Glu (Kneifel and Pacher, 1993).
Similarly, several selective media have been developed for enumeration of pure cultures of Bifidobacterium spp., including nalidixic acid-neomycin sulfate-lithium chloride-paromomycin sulfate (NNLP) agar (Teraguchi et al., 1978; Munoa and Pares, 1988; Burford, 1989; Wijsman et al., 1989; Sozzi et al., 1990; Laroia and Martin, 1991; Onggo and Fleet, 1993; Arroyo et al., 1994). However, these media may not be suitable for selective enumeration of Bifidobacterium spp. in the presence of Lb. acidophilus and yogurt culture organisms. Furthermore, differences exist among the strains of the same species with respect to sugar fermentation characteristics and tolerance to low pH and bile. There is concern that some media that contain bile or antibiotics might also restrict the growth of Lb. acidophilus or Bifidobacterium and that counts obtained are not representative of the actual number of viable cells present in the product.
Selective enumeration of Lb. casei in yogurt-type fermented milks containing probiotic bacteria based on 15°C incubation temperature and a 14 d incubation time was reported by Champagne and coworkers (1997). However, an incubation time of 14 d is not practical if the results are required in a short time.
Lankaputhra et al. (1996) proposed the use of MRS-maltose agar for selective enumeration of Lb. acidophilus in the presence of yogurt organisms in a product that does not contain Bifidobacterium spp. Similarly, Lankaputhra and Shah (1996) developed a simple method for selective enumeration of Lb. acidophilus in the presence of yogurt starter bacteria and Bifidobacterium spp. based on differences in sugar fermentation patterns. Dave and Shah (1996) evaluated 15 media to determine their suitability for selective enumeration of Strep. thermophilus, Lb. delbrueckii ssp. bulgaricus, Lb. acidophilus, and Bifidobacterium using 5 to 6 strains of each of the 4 organisms. Streptococcus thermophilus (ST) agar was found to be suitable for selective enumeration of Strep. thermophilus under aerobic incubation at 37°C for 24 h. de Man, Rogosa, and Sharpe agar at pH 5.2 or RCA at pH 5.3 was recommended for the enumeration of Lb. delbrueckii ssp. bulgaricus; MRS-maltose agar could be used for enumerating total counts of Lb. acidophilus and Bifidobacterium. For selective enumeration of Lb. acidophilus, MRS-salicin agar or MRS-sorbitol agar could be used. For selective enumeration of Bifidobacterium, MRS-NNLP agar has been found to be suitable. However, checking the growth of pure cultures of Bifidobacterium in this medium is recommended before adopting them for enumeration purposes in the presence of yogurt cultures and Lb. acidophilus.
There is little information on selective enumeration of Lb. casei in yogurt and fermented milk drinks, which may contain yogurt starter organisms and probiotic bacteria. A selective medium known as Lb. casei (LC) agar has been developed by Ravula and Shah (1998) for enumeration of Lb. casei populations from commercial yogurts and fermented milk drinks that may contain yogurt starter bacteria (Strep. thermophilus and Lb. delbrueckii ssp. bulgaricus), Lb. acidophilus, Bifidobacterium spp., and Lb. casei. The composition of LC agar is shown in Table 3
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| THE ROLE OF PROBIOTICS IN MODULATION OF IMMUNE FUNCTION |
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production by T cells and natural killer cells (Heufler et al., 1996), whereas IL-10 is an antiinflammatory cytokine that suppresses IL-12 production and thus IFN-
production, favoring a Th2 response (Heufler et al., 1996). Interleukin 10 can also down-regulate presentation of an antigen by blocking translocation of antigen-major histocompatibility complex (MHC) class II complex to the surface of the antigen-presenting cell. Interleukin 6, another important regulatory cytokine, is produced by a wide variety of cells with antigen-presenting cells (APC) representing its primary source. It provides for terminal differentiation of B cells into plasma cells and has been reported to polarize naïve CD4+ T cells to effector Th2 cells (Rincon et al., 1997). Tumor necrosis factor-
(TNF-
), another cytokine produced by macrophages, is an important regulatory mediator (Goldsby et al., 2000).
Antigen-Presenting Cells
Antigen-presenting cells such as dendritic cells (DC) and macrophages are key components for Th1/Th2 immune responses. Dendritic cells are distributed in most tissues such as the mucosa of the GI tract (where they are found in Peyers patches), lamina propria, and draining mesenteric lymph nodes; they are the principal stimulators of naïve T helper cells. The delicate balance between Th1 and Th2 immunity, as well as tolerance (Th3), is thought to be pivotally controlled by stimulating DC. The ability of activated DC to prime T-cell activity is, in addition to expression of MHC antigen complexes, due to DC expression of cytokines and costimulatory molecules that are up-regulated during maturation. The discriminative factors in this respect are production of the strong Th1-skewing cytokine, IL-12, as well as the expression of the costimulatory molecules B7-1 (CD80) and especially B7-2 (CD86). Dendritic cells found in the GI tract are close to the GI microbial environment. Thus, the intestinal flora including probiotics may exert immunoregulatory effects through modulation of the Th1/Th2/Th3-promoting capacity of DC in the gut.
Like DC, macrophages are professional APC. They are capable of presenting antigen CD4+ T cells with class II MHC molecules. They also provide costimulatory signals needed to provide T-cell activation that leads to proliferation and differentiation. However, they differ from DC in their ability to display antigen and in their ability to provide costimulatory signals. Macrophages are activated by phagocytosis of bacteria or by bacterial products such as LPS or by IFN-
. Activated macrophages up-regulate their expression of class II MHC molecules and costimulatory B7 molecules. Activated macrophages are common activators of memory and effector T cells. Expression of MHC class II, as well as a second signal provided by the costimulatory B7 molecules CD80 and CD84, is required for effective antigen presentation. Activated macrophages may also secrete a variety of cytokines (Goldsby et al., 2000). Probiotics have been shown to differentially modulate expression and production of cytokines by macrophages.
Toll-Like Receptors
Activation of surface receptors called toll-like receptors (TLR) by bacterial components is believed to be key for regulation of immune responses and to mediate the link between innate and adaptive immunity. These receptors are able to recognize microbial particles and activate immune cells accordingly. Although the mechanism of TLR-mediated recognition of microbial particles is not well known, it is believed that it depends on the innate immune system to detect the presence of infectious microorganisms and to induce a set of endogenous signals, such as inflammatory cytokines and chemokines (Medzhitov and Janeway, 2000). These signals then activate antigen-specific lymphocytes and induce their differentiation into effector cells. Currently, 10 TLR have been identified (TLR1 to 10). Bacterial products activate TLR2, TLR4, TLR6, and TLR9 (Takeda et al., 2003). Receptor TLR2 forms a heterodimeric complex with either TLR1 or TLR6, and responds to bacterial peptidoglycan and lipopolypeptides, whereas TLR4, TLR5, and TLR9 recognize LPS, flagellin, and hypomethylated CpG-rich DNA, respectively. In general, TLR4 has been considered the major receptor for gram-negative bacteria, whereas TLR2 is considered the receptor for gram-positive bacteria (Takeuchi et al., 1999). The TLR are connected, via the adaptor protein MyD88, to a signal transduction mechanism that is utilized by all members of the family. They induce similar patterns of gene expression including those involving inflammatory responses. It is becoming increasingly clear, however, that certain signaling mechanisms are specific to individual TLR (Horng et al., 2002; Yamamoto et al., 2002), and different TLR agonists induce different patterns of gene expression (Hirschfeld et al., 2001; Jones et al., 2001; Re and Strominger, 2001).
Nuclear Factor-
B
The triggering of APC through TLR initiates a signal transduction cascade that culminates in the activation of transcription factors such as nuclear factor (NF)-
B, a major player in the inflammatory immune responses of the gut. In the noninflammatory state, NF-
B is bound to its inhibitor, I
B, and is retained in the cytoplasm in its inactive form. When the appropriate signal is received to activate NF-
B, phosphorylation of I
B by I
B kinases
and ß (IKK
and IKKß) results in its ubiquitination and degradation. The release of NF-
B (from the inhibited state) and its translocation to the nucleus results in transcriptional activation of cytokine and chemokine genes, which are important in inflammatory responses. A number of bacterial pathogens can activate NF-
B and thus the inflammatory immune responses. More recently, Neish et al. (2000) have shown that nonpathogenic bacteria have evolved ways to selectively attenuate this pathway and hinder NF-
B activation. This has important implications for probiotics, in that probiotics may also be able to abrogate NF-
B activation and block the hosts inflammatory responses.
Current Research
Our initial work in the area of LAB and immune function involved evaluating representative strains of Lactobacillus spp. (16 strains), Bifidobacterium spp. (14 strains), and Streptococcus spp. (4 strains) on cytokine production using a macrophage model (RAW 264.7 cells) and T-helper-cell model (EL4.IL-2 thymoma cells; Marin et al., 1997a,b, 1998). Members of all 3 genera induced significant increases in IL-6 and TNF-
production in unstimulated and LPS-stimulated RAW 264.7 macrophage cells. Bifidobacteria and some strains of lactobacilli also increased IL-2 production in EL-4 T cells but required a costimulatory signal and were less remarkable (Marin et al., 1997a,b, 1998). In ex vivo studies in which mice were gavaged with 1 x 109 viable bacteria and peritoneal, Peyers patch, and splenic leukocytes cultured in the presence and absence of inducing agents (LPS or phorbol 12-myristate-13 acetate and ionomycin), we demonstrated that Lb. acidophilus and Lb. casei can potentiate IL-6 and IL-12 production by peritoneal macrophages. Lactobacillus acidophilus also potentiated IFN-
and nitric oxide production. In contrast, Lb. helveticus, Lb. gasseri, Lb. reuteri, and Bifidobacterium spp. attenuated the production of IL-6, IFN-
, and nitric oxide by peritoneal macrophages (Tejada-Simon et al., 1999).
We have also investigated the effects of yogurts (with or without Bifidobacterium spp. and Lb. acidophilus) ingestion (2 and 4 wk) on mucosal and systemic cytokine gene expression in the mouse (Ha et al., 1999). Relative mRNA levels in spleen, mesenteric lymph nodes, or Peyers patches for the cytokines INF-
, TNF-
, IL-2, IL-4, and IL–6 were determined. Prolonged feeding of some yogurts had no effect or decreased specific cytokine mRNA, in particular, proinflammatory TNF-
mRNA. Proinflammatory cytokines such as TNF-
activate a number of important cell-mediated processes that may contribute to the development of inflammatory diseases. Thus, it may be speculated that suppression of TNF-
expression by yogurt ingestion could actually reduce the severity of these diseases. In another study in which mice were fed probiotic yogurts containing Lb. acidophilus and Bifidobacterium, we observed enhanced mucosal and systemic IgA response to the cholera toxin immunogen compared with mice fed conventional yogurt or nonfat dry milk control diets (Tejada-Simon et al., 1999).
We also reported on the effects of ingesting yogurts on lymphocyte populations in Peyers patches and spleens in mice fed 3 different yogurts with or without Bifidobacterium and Lb. acidophilus (Pestka et al., 2001). After 14 d of feeding, spleen and Peyers patch lymphocytes were subjected to phenotype analysis by flow cytometry. The percentages of CD4+ (T helper) cells were significantly increased in the spleens from the group of mice fed yogurt containing Bifidobacterium spp. and Lb. acidophilus, and a similar trend was observed in the remaining 2 probiotic-supplemented yogurts. Effects on CD4+ populations were not observed in spleens of mice fed conventional yogurt or in Peyers patches of any of the 4 yogurt groups.
More recently, Christensen et al. (2002) reported on cytokine expression and maturation of surface markers in murine DC as influenced by lactobacilli. There were significant differences among lactobacilli strains in their capacity to induce IL-12 and TNF-
production. Less pronounced differences were reported among lactobacilli in their induction of IL-6 and IL-10. Lactobacilli strains that had the greatest ability to induce IL-12 were most effective in up-regulating surface MHC class II and B7-2 (CD86), indicative of DC cell maturation. Furthermore, Lb. reuteri, which was a poor IL-12 inducer, inhibited IL-12, IL-6, and TNF-
induction by Lb. casei; IL-10 production was unaffected. Both Lb. reuteri and Lb. casei induced up-regulation of B7-2. These results provide significant insight as to how different Lactobacillus strains exert different DC activation patterns and potentially alter the Th1/Th2 balance. These data suggest that differential activation of TLR on accessory cells by bacterial components might explain the differences observed in cytokine induction by lactobacilli and the opposing results observed in immunological studies on gut microflora used to test this hypothesis. They also provide important insight to our previous results with cytokine gene expression and lymphocyte populations in mice in yogurt feeding studies.
In summary, our previous studies suggest that probiotics do not share the same immunomodulatory properties and may even have opposing effects when used in mixed culture systems. Thus, it may be possible through appropriate selection and blending of cultures to modulate innate immune control of Th1 and Th2 responses.
Most recently, we screened Lactobacillus salivarius Ls 33, Lb. acidophilus NCFM, and Lb. paracasei Lpc 37 for their ability to stimulate TLR by assessing NF-
B activation in HEK293 cells expressing a given TLR. The activity of the LAB was tested on 7 different TLR: TLR 2, 3, 4, 5, 7, 8, 9. Their effects were then compared with control ligands (known TLR agonists): heat-killed Listeria monocytogenes (TLR2), Poly(I:C) (TLR 3), Escherichia coli K12 LPS (TLR 4), Salmonella Typhimurium flagellin (TLR5), Loxoribine (TLR 7), ssPolyU (TLR8), and CpG ODN 2006 (TLR9). The 3 LAB had significant but different stimulatory effects on human (h) TLR2. Lactobacillus acidophilus NCFM had the highest stimulatory effect on hTLR2, followed by Lb. paracasei and Lb. salivarius. Their stimulatory effect was lower than the positive control (heat-killed L. monocytogenes). No additional stimulatory effect was evident at higher levels tested. These results were confirmed by flow cytometry using RAW 264.7 macrophage cells. We also tested the hypothesis that probiotic LAB may prevent Salmonella Dublin-induced NF-
B translocation to the nucleus and prevent signal transduction; thus, its role in the inflammatory process in mouse intestinal epithelial cells. Western blots showed that S. Dublin induced translocation of NF-
B to the nucleus in 15 min, increasing at 30 min, and decreasing significantly in 90 min. When S. Dublin-treated intestinal cells were cotreated with either Lb. casei or Lb. reuteri, the LAB able to inhibit most of the translocation at 30 min. Lactobacillus reuteri was more effective than Lb. casei; the nuclear translocation induced by S. Dublin was inhibited approximately 50% by Lb. casei and 100% by Lb. reuteri.
We further investigated the ability of Lb. acidophilus NCFM to induce IL-10 and IL-12 production in vitro using RAW 264.7 macrophage cells and in vivo using mice. Lactobacillus acidophilus NCFM was a strong inducer of IL-12 in vitro and in murine spleen and bone marrow macrophages suggesting that it is a strong Th2 promoter. We also tested Lb. paracasei Lpc 37 in vitro. This organism was also a good inducer of IL-12 but not to the extent of Lb. acidophilus NCFM.
In summary, although much has been published on the subject of probiotics and immune function, a clear picture has not yet fully emerged because of the strain-specific effects, different experimental models used, and the different immune responses studied (intestinal and systemic) in the body fluids or the cells (innate or acquired). The significance of the results varies widely. Furthermore, with fermented dairy products, the metabolites produced by the fermentation process may also exert immunomodulatory activity, which further complicates the research.
Probiotics remain in transit in the gastrointestinal system for variable periods, and it is commonly believed that the probiotic effect will be more likely to occur if the bacteria remain alive for as long as possible and are present in a sufficiently large quantity. To achieve and maintain an effect, the probiotic must be repeatedly administered to ensure a sufficient population level over time.
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Received for publication November 16, 2006. Accepted for publication May 8, 2007.
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