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Lactobacillus

Lactobacillus: A genus of gram-positive, rod-shaped bacteria commonly found in the human gastrointestinal tract.
These facultatively anaerobic microorganisms play a crucial role in maintaining a healthy gut microbiome.
Lactobacillus species are known for their probiotic properties, including the ability to inhibit the growth of harmful pathogens, enhance immune function, and improve digestion.
These versatile bacteria are widely studied for their potential applications in food, pharmaceutical, and therapeutic industries.
Reasearch on Lactobacillus continues to expand, offering promising avenues for improved gut health and disease prevention.

Most cited protocols related to «Lactobacillus»

1
Benchmarking Taxonomic Classification of Microbiome Sequences
The simulated reads used here were derived from the reference databases using the “Cross-validated classification performance” notebooks in our project repository. The reference databases were either Greengenes or UNITE (99% OTUs) that were cleaned according to taxonomic label to remove sequences with ambiguous or null labels. Reference sequences were trimmed to simulate amplification using standard PCR primers and slice out the first 250 bases downstream (3′) of the forward primer. The bacterial primers used were 27F/1492R [27 (link)] to simulate full-length 16S rRNA gene sequences, 515F/806R [28 (link)] to simulate 16S rRNA gene V4 domain sequences, and 27F/534R [29 (link)] to simulate 16S rRNA gene V1–3 domain sequences; the fungal primers used were BITSf/B58S3r [30 (link)] to simulate ITS1 internal transcribed spacer DNA sequences. The exact sequences were used for cross validation and were not altered to simulate any sequencing error; thus, our benchmarks simulate denoised sequence data [4 (link)] and isolate classifier performance from impacts from sequencing errors. Each database was stratified by taxonomy and 10-fold randomized cross-validation data sets were generated using scikit-learn’s library functions. Where a taxonomic label had less than 10 instances, taxonomies were amalgamated to make sufficiently large strata. If, as a result, a taxonomy in any test set was not present in the corresponding training set, the expected taxonomy label was truncated to the nearest common taxonomic rank observed in the training set (e.g., Lactobacillus casei would become Lactobacillus). The notebook detailing simulated read generation (for both cross-validated and novel taxon reads) prior to taxonomy classification is available at https://github.com/caporaso-lab/tax-credit-data/blob/0.1.0/ipynb/novel-taxa/dataset-generation.ipynb.
Classification performance was also slightly modified from a standard machine-learning scenario as the classifiers in this study are able to refuse classification if they are not confident above a taxonomic level for a given sample. This also accommodates the taxonomy truncation that we performed for this test. The methodology was consistent with that used below for novel taxon evaluations, so we defer its description to the next section.
Bokulich N.A., Kaehler B.D., Rideout J.R., Dillon M., Bolyen E., Knight R., Huttley G.A, & Gregory Caporaso J. (2018). Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome, 6, 90.
Publication 2018
Bacteria DNA Library Genes Lacticaseibacillus casei Lactobacillus Oligonucleotide Primers Ribosomal RNA Genes RNA, Ribosomal, 16S Self Confidence Unite resin
2
Evaluating Novel Taxon Classification Performance
“Novel taxon” classification analysis was performed to test the performance of classifiers when assigning taxonomy to sequences that are not represented in a reference database, e.g., as a simulation of what occurs when a method encounters an undocumented species [22 (link)–25 ]. In this analysis, simulated amplicons were filtered from those used for the cross-validation analysis. For all sequences present in each test set, sequences sharing taxonomic affiliation at a given taxonomic level L (e.g., to species level) in the corresponding training set were removed. Taxa are stratified among query and test sets such that for each query taxonomy at level L, no reference sequences match that taxonomy, but at least one reference sequence will match the taxonomic lineage at level L-1 (e.g., same genus but different species). An ideal classifier would assign taxonomy to the nearest common taxonomic lineage (e.g., genus), but would not “overclassify” [25 ] to near neighbors (e.g., assign species-level taxonomy when species X is removed from the reference database). For example, a “novel” sequence representing the species Lactobacillus brevis should be classified as “Lactobacillus,” without species-level annotation, in order to be considered a true positive in this analysis. As described above for cross-validated reads, these novel taxa simulated communities were also tested in both bacterial (B) and fungal (F) databases on simulated amplicons trimmed to simulate 250-nt sequencing reads.
Novel taxon classification performance is evaluated using precision, recall, F-measure, overclassification rates, underclassification rates, and misclassification rates [25 ] for each taxonomic level (phylum to species), computed with the following definitions (see below,Performance analyses using simulated reads, for full description of precision, recall, and F-measure calculations):

A true positive is considered the nearest correct lineage contained in the reference database. For example, if Lactobacillus brevis is removed from the reference database and used as a query sequence, the only correct taxonomy classification would be “Lactobacillus,” without species-level classification.

A false positive would be either a classification to a different Lactobacillus species (overclassification) or any genus other than Lactobacillus (misclassification).

A false negative occurs if an expected taxonomy classification (e.g., “Lactobacillus”) is not observed in the results. Note that this will be the modified taxonomy expected when using a naive reference database and is not the same as the true taxonomic affiliation of a query sequence in the novel taxa analysis. A false negative results from misclassification, overclassification, or when the classification contains the correct basal lineage, but does not assign a taxonomy label at level L (Underclassification), e.g., classification as “Lactobacillaceae,” but no genus level classification.

Bokulich N.A., Kaehler B.D., Rideout J.R., Dillon M., Bolyen E., Knight R., Huttley G.A, & Gregory Caporaso J. (2018). Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome, 6, 90.
Publication 2018
Bacteria Lactobacillaceae Lactobacillus Levilactobacillus brevis Mental Recall
3
Quantifying Gut Microbiome Depletion
Day 13 and day 24 of the antibiotic treatment mice were fixed to defecate directly into a pre-weighted 2 ml capped microtube (Sarstedt, Nümbrect, Germany) prefilled with 1 ml sterile ice-cold phosphate-buffered saline (PBS). Tubes with fecal pellets were kept on ice, weighed and the weight of the pellets calculated (median 46 mg, range 17–120). Fecal pellets were resuspended in the 1 ml PBS by vortexing and by bashing with a sterile bacteriological loop. The fecal suspension was then plated on blood agar, anaerobic blood agar (hemin – vitamin K agar), and yeast agar (Sabouraud agar) in doubles with 100 µl suspension on each plate. Blood agar and Sabouraud agar plates were incubated aerobically at 37°C with 5% CO2 for 72 hours, while anaerobic blood agar plates were incubated at 37°C in anaerobic conditions for 96 hours. At the end of incubation the numbers of colonies on the plates were counted and the number of bacteria per mg of feces calculated. Evaluation of cultivated agar plates was performed by an experienced bacteriologist (P.G.) The detection limit of the assay was defined as 1 cfu/mg feces. Only mice successfully depleted (<1 cfu/mg feces) were included in phenotypic and gene expression analyses.
As a positive control for the depletion verification assay, and to enumerate cultivable microbes with the fecal collection procedure, fecal pellets from untreated mice were collected with the above described procedure. Serial dilutions made in sterile PBS and suitable dilutions were plated on selective media for intestinal Gram negative rods, enterococci, anaerobic Gram negative rods (Bacteroides spp), Clostridium spp, Lactobacillus spp and Bifidobacterium spp. The aerobic agar plates were incubated in 37°C with 5% CO2 for 48 hours while anaerobic agar plates were incubated in 37°C for 48 hours. After incubation the numbers of colonies on the plates were counted and the number of bacteria per mg of feces was calculated.
Reikvam D.H., Erofeev A., Sandvik A., Grcic V., Jahnsen F.L., Gaustad P., McCoy K.D., Macpherson A.J., Meza-Zepeda L.A, & Johansen F.E. (2011). Depletion of Murine Intestinal Microbiota: Effects on Gut Mucosa and Epithelial Gene Expression. PLoS ONE, 6(3), e17996.
Publication 2011
Agar Antibiotics Bacteria Bacteria, Aerobic Bacteroides Bifidobacterium Biological Assay BLOOD Clostridium Common Cold Enterococcus Feces Gene Expression Profiling Hemin Intestines Lactobacillus Mice, House Pellets, Drug Phenotype Phosphates Rod Photoreceptors Saline Solution Sterility, Reproductive Technique, Dilution Vitamin K Yeast, Dried
4
CoNet: Powerful Bipartite Network Inference
CoNet offers a series of features that distinguish it from other network inference tools, such as its support for object groups. This feature allows a user to assign objects to different groups (
e.g. metabolites and enzymes). Relationships can then be inferred only between different object types (resulting in a bipartite network) or only within the same object type. CoNet's treatment of two input matrices is built upon this feature.
Furthermore, CoNet can handle row metadata, which allows for instance to infer links between objects at different hierarchical levels (
e.g. between order Lactobacillales and genus Ureaplasma) while preventing links between different levels of the same hierarchy (e.g. Lactobacillales and Lactobacillaceae). CoNet can also read in sample metadata such as temperature or oxygen concentration. When sample metadata are provided, associations among metadata items and between taxa and metadata items are inferred in addition to the taxon associations. Metadata are then represented as additional nodes in the resulting network. In addition, CoNet recognizes abundance tables generated from biom files (
McDonald
et al., 2012) and, in its Cytoscape 3.× version, reads biom files in HDF5 format directly, using the BiomIO Java library (
Ladau ). Taxonomic lineages in biom files or biom-derived tables are automatically parsed and displayed as node attributes of the resulting network. For instance, the lineage "k__Bacteria; p__Firmicutes; c__Bacilli; o__Lactobacillales; f__Lactobacillaceae; g__Lactobacillus; s_Lactobacillus acidophilus" of an operating taxonomic unit with identifier 12 would create a kingdom, phylum, class, order, family, genus and species attribute in the node property table for node OTU-12, filled with the corresponding values from the lineage. CoNet also computes a node's total edge number as well as the number of positive and negative edges, the total row sum and the number of samples in which the object was observed (e.g. was different from zero or a missing value).
To ease the selection of suitable preprocessing steps, CoNet can display input matrix properties and recommendations based on them. Importantly, CoNet can also handle missing values, by omitting sample pairs with missing values from the association strength calculation. Finally, CoNet supports a few input and output network formats absent in Cytoscape, including adjacency matrices (import), dot (the format of GraphViz (
http://www.graphviz.org/)) and VisML (VisANT's format (
Hu
et al., 2013)) (both for export).
Faust K, & Raes J. (2016). CoNet app: inference of biological association networks using Cytoscape. F1000Research, 5, 1519.
Publication 2016
Bacteria cDNA Library Enzymes Firmicutes Lacticaseibacillus casei Lactobacillaceae Lactobacillales Lactobacillus Lactobacillus acidophilus Oxygen Ureaplasma
5
Isolation and Identification of Vaginal Lactobacilli
Fifteen pre-menopausal Caucasian women (aged 18–45 years old), who have no symptoms of vaginal or urinary tract infection, were recruited for the present study. The women were non-menstruating and not receiving oral or local antimicrobial therapy within the previous 2 weeks. All volunteers provided a written informed consent in accordance with the Ethics Committee of the University of Bologna (52/2014/U/Tess) and the institutional review board approved the study. Mid-vaginal secretions were self-collected by women with E-swabs (Copan, Brescia, Italy) and immediately processed for lactobacilli isolation. The specimens were coded to assure full anonymousness.
Lactobacillus clones were isolated onto de Man, Rogosa and Sharpe (MRS) and Brain-Heart Infusion (BHI) agar plates (Difco, Detroit, MI). Both MRS and BHI agar plates were supplemented with 0.05% L-cysteine. Plates were incubated anaerobically for 24 h at 37°C in anaerobic jars supplemented with Anaerocult C (Merck, Milan, Italy). Colonies with different morphologies yielding variable rods by microscope observation were selected for glycerol stock preparation. To prepare lactobacilli fractions, 18-h MRS/BHI cultures (OD600 = 0.5) were centrifuged at 5,000 X g for 10 min at 4°C. Supernatants were filtered through a 0.2 μm membrane filter to obtain cell free supernatants (CFS). Cell pellets (CP) were washed in sterile saline.
Genomic DNA was extracted from lactobacilli CP using DNeasy Blood & Tissue Kit (Qiagen, Hilden, Germany) following the protocol “Pretreatment for Gram-positive bacteria”. The extracted DNA was amplified with Lactobacillus genus-specific primers Lac1 and Lac2 [32 (link)]. The positive isolates were taxonomically characterized to the species level by sequencing the 16S ribosomal RNA (rRNA) gene. Briefly, the complete 16S rRNA gene (1.5 kb) was amplified with the universal primers 27F and 1492R [33 ] and sequenced. The obtained sequences were compared with the sequences available in the Ribosomal Database Project (RDP, http://rdp.cme.msu.edu/) [34 (link)] in order to identify the Lactobacillus species.
Parolin C., Marangoni A., Laghi L., Foschi C., Ñahui Palomino R.A., Calonghi N., Cevenini R, & Vitali B. (2015). Isolation of Vaginal Lactobacilli and Characterization of Anti-Candida Activity. PLoS ONE, 10(6), e0131220.
Publication 2015
Agar Blood Brain Caucasoid Races Cells Clone Cells Cysteine Ethics Committees Ethics Committees, Research Genome Glycerin Gram-Positive Bacteria Heart isolation Lactobacillus Microbicides Microscopy N-tris(hydroxymethyl)methyl-2-aminomethane sulfonate Oligonucleotide Primers Pellets, Drug Premenopause Ribosomal RNA Genes Ribosomes Rod Photoreceptors Saline Solution Secretions, Bodily Sterility, Reproductive Therapeutics Tissue, Membrane Tissues Urinary Tract Infection Vagina Voluntary Workers Woman

Most recents protocols related to «Lactobacillus»

1
Evaluating Lactobacillus Probiotic Resistance
Not available on PMC !

Example 5

The Lactobacillus ingested through the oral cavity passes through the stomach with the lower acidity and the intestines with high digestive enzymes and are exposed to low pH of gastric acid, pepsin, intestinal bile salts and digestive enzymes. Therefore, in order to utilize microorganisms as probiotics, gastric juice resistance is essential to survive in low pH and enzymes, and bile juice resistance is essential to survive in extreme intestinal environment. In accordance with the present disclosure, experiments were conducted to identify resistance to artificial gastric juice and bile juice of the above two strains with superior inhibitory effects against Gardnerella vaginalis and Candida albicans. The pH of the gastric juice in the body is maintained at about 3.0, and the food passes through the stomach for about 3 hours. In general, when maintaining viable cell count for 3 hours or more at pH 3, the cells has the high resistance to acidity. In order to identify the intestinal viability of Lactobacillus, survival experiments for artificial gastric juice and artificial bile juice were conducted with reference to Maragkoudakis' method. MG4272 and MG4288 strains were streaked on MRS plate medium and incubated at 37° C. for 24 hours, and the resulting colonies were inoculated in MRS liquid medium and incubated (37° C., 24 hours). Then, 2% passage was incubated for 24 hours in fresh MRS medium. The culture medium was then centrifuged (4,000×g, 4° C., 5 minutes) and washed twice with phosphate-buffer saline (PBS, pH 7.4). The washed cells were adjusted to OD600 1.0 (108 to 109 CFU/mL) and used for resistance experiments to the artificial gastric juice and artificial bile solution, respectively. As a control, 900 μL of pH 7 PBS was added to 100 μL of diluted Lactobacillus and the mixture was shaken and the number of viable cells was measured immediately. In order to identify the resistance to gastric juice, pepsin (Sigma-Aldrich, Saint Louise, USA) was dissolved in 3 g/L of pH 3 to pH 4 PBS to prepare an artificial gastric juice. 100 μL of lactobacillus diluent was added to 900 μL of artificial gastric juice, shaken, and cultured at 37° C. In 3 hours, the viable cell count was measured. To identify resistance to the artificial bile juice, pancreatin (Sigma-Aldrich, Saint Louise, USA) was dissolved in 1 g/L at pH 7 to pH 8 to prepare artificial bile juice. 100 μL of lactobacillus diluent was added to 900 μL of artificial bile juice, shaken and incubated at 37° C. In 4 hours, the viable cell count was measured. The measured results are shown in Table 1 in terms of log CFU/ml.

TABLE 1
Artificial gastric juiceArtificial bile solution
Selectedtest grouptest group
strainsControlpH 3pH 4pH 7pH 8
MG42728.53 ± 0.018.47 ± 0.018.52 ± 0.018.52 ± 0.028.49 ± 0.02
MG42888.46 ± 0.068.40 ± 0.048.44 ± 0.028.41 ± 0.018.41 ± 0.02

As shown in Table 1 both strains of MG4272 and MG4288 were identified to maintain the viable cell count of 108 CFU/mL or more after 3 hours at pH 3, thereby identifying excellent acid resistance. In the artificial bile resistance test, both strains of MG4272 and MG4288 were identified to maintain the viable cell count of 108 CFU/mL or more, thereby identifying excellent bile resistance.

US11857580B2. Lactobacillus having antimicrobial effect on Gardnerella vaginalis and Candida albicans (2024-01-02). MEDIOGEN CO., LTD. [KR], None [KR]. Inventors: Nam-Soo Paek [KR], Chang Ho Kang [KR].
Patent 2024
Acids Bile Buffers Candida albicans Cells Culture Media Digestion Enzymes Food Gardnerella vaginalis Gastric Acid Heartburn Human Body Intestines Juices, Gastric Lactobacillus Oral Cavity Pancreatin Pepsin A Phosphates Probiotics Psychological Inhibition Saline Solution Salts, Bile Stomach Strains
2
Probiotic Supplement Formulation and Preparation
Not available on PMC !

Example 1

NAME OF COMPONENTmg/sachet
Probiotic Material:
Lactobacillus helveticus150 billion CFU/g73.333
Rosell 52
Bifidobacterium longum 50 billion CFU/g20.000
R175
Lactobacillus plantarum150 billion CFU/g20.000
Rosell 1012
Carrier material:
Magnesium oxide41.446
Magnesium gluconate341.297
Potassium citrate138.290
Zinc gluconate111.111
Glutathione20.000
Lactoferrin11.364
Copper citrate2.834
Inulin500.000
Fructose1291.125
Additional (optional) excipients
Sucralose4.000
Acesulfame K12.000
Flavouring150.000
Aerosil 20040.000
Colouring: E1242.200
Colouring: E1021.000
Anhydrous citric acid220.000

The formulation described above is prepared as follows: Lactobacillus Plantarum, Lactobacillus helveticus, Bifidobacterium longum, are mixed with inulin and blended at 32 rpm for approximately 10 min. Thereafter, fructose, magnesium gluconate, zinc gluconate, citric acid, flavor, potassium citrate, magnesium oxide, silicon dioxide, glutathione, potassium acesulfame, lactoferrine, and sucralose are added to the mixture and blended at 32 rpm for another 10 min.

US11878040B2. Compositions comprising probiotic and prebiotic components and mineral salts, with lactoferrin (2024-01-23). GlaxoSmithKline Consumer Healthcare S.R.L. [RO]. Inventors: Valeria Longoni [IT], Marisa Penci [IT].
Patent 2024
acesulfame potassium Aerosil Bifidobacterium longum Citric Acid Citric Acid, Anhydrous Copper Excipients Flavor Enhancers Fructose gluconate Glutathione Inulin Lactobacillus Lactobacillus helveticus Lactobacillus plantarum Lactoferrin Magnesium magnesium gluconate Minerals Oxide, Magnesium Oxides Potassium Citrate Prebiotics Probiotics Salts Silicon Dioxide sucralose zinc gluconate
3
Lactobacillus Diversity Analysis via PCR-DGGE
PCR-DGGE analyses were performed to investigate lactobacilli populations; for each sampling location, 17 (out of 20) DNA extracted from individual guts were processed. The PCR and subsequent denaturing gradient gel electrophoresis (DGGE) analysis, using the Dcode Universal Mutation Detection System (Bio-Rad Laboratories, Hercules, CA, USA), were performed as described by Alberoni et al. (2018) (link). Denaturing gradient was established at 35–65%. Fingerprinting analyses were carried out using the Bionumerics v 7.1 (Applied Maths, St. Martens-Latem, Belgium) and the UPGMA algorithm based on the Pearson correlation coefficient with an optimization of 1% was applied. Microbial diversity was analyzed with the following parameters: Shannon–Wiener index (H), Simpson index (S), and band evenness (EH), calculated according to Hill et al. (2003) (link). Moreover, principal components analysis (PCA) was carried out by using Bionumerics. Relevant bands were excised from the gels and processed to achieve purified amplicons to be sequenced (Gaggìa et al., 2015 ). Sequencing was carried out by Eurofins Genomics (Ebersberg, Germany) and obtained sequences were assigned to bacterial species using megablast algorithm.2
Gaggìa F., Jakobsen R.R., Alberoni D., Baffoni L., Cutajar S., Mifsud D., Nielsen D.S, & Di Gioia D. (2023). Environment or genetic isolation? An atypical intestinal microbiota in the Maltese honey bee Apis mellifera spp. ruttneri. Frontiers in Microbiology, 14, 1127717.
Publication 2023
Bacteria Denaturing Gradient Gel Electrophoresis Gels Intestines Lactobacillus Martes Mutation Population Group
4
Isolation of Lactobacillus EPS Extracts
The isolation of EPS from supernatants of L. crispatus (BC1, BC4, and BC5) and L. gasseri (BC9, BC12, and BC14) was carried out following a protocol reported by Tallon et al. [50 (link)], with some modifications. Lactobacilli were initially cultured in 10 mL of MRS for 24 h, and then transferred in 100 mL of fresh medium and grown for a further 24 h, as described above. Afterward, the supernatants of lactobacilli were harvested by centrifugation (2750 ×g, 10 min, Centrisart G-16C, Sartorius, Goettingen, Germany) and treated with trichloroacetic acid (Merck, Milan, Italy) at a final concentration of 20% (w/v) for 2 h at 4 °C under mild agitation (100 rpm, Universal Table Shaker 709, ASAL, Milan, Italy). The precipitated proteins were removed through centrifugation (15,000 ×g, 10 min, 4 °C) and two volumes of cold absolute ethanol (Merck, Milan, Italy) were added to the supernatants. After an incubation of 18 h at 4 °C, the pellets containing EPS were recovered (6000 ×g, 30 min, 4 °C), resuspended in 20 mL of sterile distilled water, and dialyzed against 25 L of demineralized water in a Cellu-Sep© membrane (molecular weight cut-off 6000–8000 Da; Spectra/Por 2 dialysis membrane, Spectrum Laboratories Inc., Rancho Dominguez, CA, USA) for 48 h at room temperature, with three water changes per day. Samples were finally freeze-dried at 0.01 atm and −  47 °C (Christ Freeze Dryer ALPHA 1–2, Milan, Italy). Lyophilized EPS from L. crispatus (EPS-BC1, EPS-BC4, EPS-BC5) and L. gasseri (EPS-BC9, EPS-BC12, EPS-BC14) strains were stored at 4 °C until their use.
Giordani B., Naldi M., Croatti V., Parolin C., Erdoğan Ü., Bartolini M, & Vitali B. (2023). Exopolysaccharides from vaginal lactobacilli modulate microbial biofilms. Microbial Cell Factories, 22, 45.
Publication 2023
ASAL Centrifugation Cold Temperature Dialysis Ethanol Freezing isolation Lactobacillus Pellets, Drug Proteins Sterility, Reproductive Strains Tissue, Membrane Trichloroacetic Acid
5
Effects of Lactobacillus EPS on Biofilms
EPS-BC1, EPS-BC4, EPS-BC5, EPS-BC9, EPS-BC12, and EPS-BC14 were sought for the effects on the biofilms of lactobacilli belonging to the species L. crispatus (BC1, BC3, BC4, and BC5), L. gasseri (BC9, BC10, BC12, and BC14) and L. vaginalis (BC16 and BC17). The impact of EPS on biofilms of opportunistic pathogens (E. coli DSM1900, E. coli DSM2569, S. aureus DSM2569, S. aureus SO88, S. lugdunensis BC102, E. faecalis BC101, E. faecium BC105, S. agalactiae SO104, C. albicans SO1, and C. glabrata SO17) were also investigated.
In all cases, the formation of biofilms was evaluated by two methods, namely crystal violet staining and MTT assay. For each experiment, three different batches of EPS were analyzed in triplicate on three independent assays.
Giordani B., Naldi M., Croatti V., Parolin C., Erdoğan Ü., Bartolini M, & Vitali B. (2023). Exopolysaccharides from vaginal lactobacilli modulate microbial biofilms. Microbial Cell Factories, 22, 45.
Publication 2023
BC-105 Biofilms Biological Assay Candida albicans Candida glabrata Escherichia coli Lactobacillus Pathogenicity Staphylococcus aureus Violet, Gentian

Top products related to «Lactobacillus»

1
Mrs broth by Thermo Fisher Scientific
Sourced in United Kingdom, Italy, United States, Australia, Spain, Canada, Sweden, Belgium, Norway, Germany
MRS broth is a microbiological medium used for the selective isolation and cultivation of lactobacilli. It provides the necessary nutrients and growth factors for the optimal growth of lactobacilli species. The composition of the broth includes various peptones, yeast extract, glucose, and specific salts.
2
Mrs broth by Merck Group
Sourced in Germany, United States, United Kingdom, Singapore, Japan, Spain
MRS broth is a culture medium used for the isolation and cultivation of lactic acid bacteria, particularly Lactobacillus species. It provides the necessary nutrients and growth factors required by these microorganisms. The formulation of MRS broth is based on the de Man, Rogosa, and Sharpe (MRS) medium.
3
Lactobacilli mrs broth by BD
Sourced in United States
Lactobacilli MRS broth is a microbiological culture medium used for the isolation, cultivation, and enumeration of Lactobacillus species. It provides the necessary nutrients and growth factors for the selective growth of Lactobacillus bacteria.
4
Qiaamp dna stool mini kit by Qiagen
Sourced in Germany, United States, United Kingdom, Spain, France, Netherlands, China, Canada, Japan, Italy, Australia, Switzerland
The QIAamp DNA Stool Mini Kit is a laboratory equipment product designed for the purification of genomic DNA from stool samples. It is a tool for extracting and isolating DNA from biological specimens.
5
Mrs agar by Merck Group
Sourced in Germany, United States, Italy, United Kingdom, Hungary, Poland
MRS agar is a laboratory culture medium used for the selective isolation and enumeration of lactic acid bacteria. It is designed to support the growth of organisms such as Lactobacillus, Pediococcus, and Leuconostoc species. MRS agar provides the necessary nutrients and growth factors required by these microorganisms.
6
Mrs broth by BD
Sourced in United States, Japan
MRS broth is a microbiological culture medium used for the isolation and cultivation of lactic acid bacteria. It provides the necessary nutrients and growth factors for the proliferation of these bacteria in a laboratory setting.
7
M17 agar by Merck Group
Sourced in Germany, United Kingdom, United States, Poland
M17 agar is a culture medium used for the growth and isolation of lactic acid bacteria. It is a nutritionally rich medium that supports the growth of a variety of Gram-positive and Gram-negative bacteria. The medium contains lactose, peptones, and yeast extract, providing essential nutrients for bacterial growth.
8
Cfx96 real time pcr detection system by Bio-Rad
Sourced in United States, China, Japan, Germany, United Kingdom, Canada, Italy, France, Switzerland, Singapore, Belgium, Australia, Spain
The CFX96 Real-Time PCR Detection System is a thermal cycler designed for real-time PCR analysis. It is capable of detecting and quantifying nucleic acid sequences in real-time using fluorescent dyes or probes.
9
Fetal bovine serum (fbs) by Thermo Fisher Scientific
Sourced in United States, China, United Kingdom, Germany, Australia, Japan, Canada, Italy, France, Switzerland, New Zealand, Brazil, Belgium, India, Spain, Israel, Austria, Poland, Ireland, Sweden, Macao, Netherlands, Denmark, Cameroon, Singapore, Portugal, Argentina, Holy See (Vatican City State), Morocco, Uruguay, Mexico, Thailand, Sao Tome and Principe, Hungary, Panama, Hong Kong, Norway, United Arab Emirates, Czechia, Russian Federation, Chile, Moldova, Republic of, Gabon, Palestine, State of, Saudi Arabia, Senegal
Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
10
L cysteine by Merck Group
Sourced in United States, Germany, United Kingdom, Italy, France, Canada, Poland, Sao Tome and Principe, Norway, Japan, Sweden, China, Israel, Macao, Switzerland, Spain, Austria, Brazil
L-cysteine is an amino acid that serves as a key component in the manufacturing of various laboratory reagents and equipment. It functions as a building block for proteins and plays a crucial role in the formulation of buffers, cell culture media, and other essential laboratory solutions.

More about "Lactobacillus"

Lactobacillus is a genus of Gram-positive, rod-shaped bacteria that are commonly found in the human gastrointestinal tract.
These facultatively anaerobic microorganisms play a crucial role in maintaining a healthy gut microbiome.
Lactobacillus species are renowned for their probiotic properties, including the ability to inhibit the growth of harmful pathogens, enhance immune function, and improve digestion.
These versatile bacteria are widely studied for their potential applications in food, pharmaceutical, and therapeutic industries.
Researchers continue to explore the power of Lactobacillus, with a focus on unlocking its full potential for improved gut health and disease prevention.
To support these studies, researchers often utilize various culture media and tools, such as MRS broth (de Man, Rogosa, and Sharpe broth), Lactobacilli MRS broth, and MRS agar, which are specifically designed for the cultivation and enumeration of Lactobacillus species.
Additionally, the QIAamp DNA Stool Mini Kit is a popular choice for extracting high-quality DNA from Lactobacillus and other gut bacteria, while the CFX96 Real-Time PCR Detection System enables the quantification of Lactobacillus populations.
The probiotic properties of Lactobacillus are further enhanced by the addition of growth-supporting compounds, such as L-cysteine, and the use of fetal bovine serum (FBS) in cell culture experiments.
By leveraging these tools and techniques, researchers can gain deeper insights into the mechanisms and applications of Lactobacillus, ultimately contributing to the development of innovative solutions for improving gut health and overall well-being.