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Bacillus cereus

Bacillus cereus is a spore-forming, Gram-positive bacterium commonly found in soil and agricultural environments.
It can cause foodborne illness, including emetic and diarrheal syndromes, through the production of enterotoxins and other virulence factors.
Bacillus cereus is an opportunistic pathogen that may also lead to various other infections, such as septicemia, endophthalmitis, and pneumonia, particularly in immunocompromised individuals.
Research on Bacillus cereus is crucial for understanding its epidemiology, pathogenesis, and development of effective prevention and treatment strategies.
PubCompare.ai can help optimize your Bacillus cereus research by providing a seamless platform to locate, comapre, and identify the best protocols and products to advance your studies and enhance reproducibility.

Most cited protocols related to «Bacillus cereus»

1
Mock Community DNA Preparation
A single aliquot of the mock community was used throughout the sequencing effort analyzed in this study. This mock community represented 21 strains distributed among members of the Bacteria (n = 20) and Archaea (n = 1). Among the 20 bacterial sequences, there were 6 phyla, 10 classes, 12 orders, and 18 families and genera. The aliquot of mock community DNA was prepared by mixing genomic DNA from Acinetobacter baumanii (NC_009085), Actinomyces odontolyticus (DS264586), Bacillus cereus (AE017194), Bacteroides vulgatus (NC_009614), Clostridium beijerinckii (NC_009617), Deinococcus radiodurans (NC_001263), Enterococcus faecalis (NC_004668), Escherichia coli (NC_000913), Helicobacter pylori (NC_000915), Lactobacillus gasseri (NC_008530), Listeria monocytogenes (NC_003210), Neisseria meningitidis (NC_003112), Propionibacterium acnes (NC_006085), Pseudomonas aeruginosa (NC_002516), Rhodobacter sphaeroides (NC_007493, NC_007494), Staphylococcus aureus (NC_007793), Staphylococcus epidermidis (NC_004461), Streptococcus agalactiae (NC_004116), Streptococcus mutans (NC_004350), Streptococcus pneumoniae (NC_003028), and Methanobrevibacter smithii (NC_009515). Given the low homology between the three PCR primer pairs and the M. smithii 16S rRNA gene sequence, these sequences were rarely observed and have been omitted from the analysis of this study. The proportions of genomic DNAs added were calculated to have an equal number of 16S rRNA genes represented for each species; however, the original investigators did not verify the final relative abundances.
Schloss P.D., Gevers D, & Westcott S.L. (2011). Reducing the Effects of PCR Amplification and Sequencing Artifacts on 16S rRNA-Based Studies. PLoS ONE, 6(12), e27310.
Publication 2011
Acinetobacter Archaea Bacillus cereus Bacteria Bacteroides vulgatus Clostridium beijerinckii Deinococcus radiodurans DNA Enterococcus faecalis Escherichia coli Genes Genome Helicobacter pylori Lactobacillus gasseri Listeria monocytogenes Methanobrevibacter Neisseria meningitidis Oligonucleotide Primers Propionibacterium acnes Pseudomonas aeruginosa Rhodobacter sphaeroides Ribosomal RNA Genes RNA, Ribosomal, 16S Schaalia odontolytica Staphylococcus aureus Staphylococcus epidermidis Strains Streptococcus agalactiae Streptococcus mutans Streptococcus pneumoniae
2
Mock Community Microbiome Protocol
The organisms for the mock community (MC) include a variety of different genera commonly found on or within the human body. The MC composition has been described elsewhere [18] and additional data is available on the HMP Data Analysis and Coordination Center website (http://www.hmpdacc.org/). Genomic DNA from each organism was prepared individually and the DNAs were then mixed, based on 16S rRNA gene copy number, to create the MC. The organisms included were Acinetobacter baumannii ATCC 17978, Actinomyces odontolyticus ATCC 17982, Bacillus cereus ATCC 10987, Bacteroides vulgatus ATCC 8482, Clostridium beijerinckii ATCC 51743, Deinococcus radiodurans DSM 20539 (ATCC 13939), Enterococcus faecalis ATCC 47077, Escherichia coli ATCC 700926, Helicobacter pylori ATCC 700392, Lactobacillus gasseri DSM 20243 (ATCC 33323), Listeria monocytogenes ATCC BAA-679, Methanobrevibacter smithii ATCC 35061, Neisseria meningitidis ATCC BAA-335, Propionibacterium acnes DSM1 6379, Pseudomonas aeruginosa ATCC 47085, Rhodobacter sphaeroides ATCC 17023, Staphylococcus aureus ATCC BAA-1718, Staphylococcus epidermidis ATCC 12228, Streptococcus agalactiae ATCC BAA-611, Streptococcus mutans ATCC 700610, and Streptococcus pneumoniae ATCC BAA-334. Candida albicans ATCC MYA-2876 was included as a negative control but limited to only 1,000 18S copies (calculated) per µl.
Evaluation of 16S rDNA-Based Community Profiling for Human Microbiome Research. (2012). PLoS ONE, 7(6), e39315.
Publication 2012
Acinetobacter calcoaceticus Bacillus cereus Bacteroides vulgatus Candida albicans Clostridium beijerinckii Deinococcus radiodurans DNA Enterococcus faecalis Escherichia coli Genome Helicobacter pylori Human Body Lactobacillus gasseri Listeria monocytogenes Methanobrevibacter Neisseria meningitidis Propionibacterium acnes Pseudomonas aeruginosa Rhodobacter sphaeroides RNA, Ribosomal, 16S Schaalia odontolytica Staphylococcus aureus Staphylococcus epidermidis Streptococcus agalactiae Streptococcus mutans Streptococcus pneumoniae
3
Bacillus cereus RNA Extraction Protocol

Bacillus cereus 14579 and an isogenic derivative that carries a deletion of a chromosomal encoded minor sigma factor gene and has lost the pBClin15 plasmid were each grown at with aeration in LB medium buffered with 10 mM MES and 10 mM MOPS. When the culture reached an optical density (OD600) of 0.5 a sample was taken (pH∶7.2) before addition of 1 N HCl to shift the culture to pH∶5.46. After incubation for 20 minutes the low pH sample was taken. Both samples were processed identically by immediately adding the aliquot to an equal volume of acid-phenol:chloroform (5∶1) pH∶4.5 (Ambion) at . After 5 minutes with periodic mixing the aqueous and organic layers were resolved by centrifugation. The aqueous layer was further extracted at with 1 volume of phenol:chloroform:isoamyl alcohol (25∶24∶1) pH∶6.6 (Ambion). RNA was recovered from the aqueous phase by precipitation with isopropanol and then dissolved in TE buffer (10 mM Tris-HCl, pH∶7.5, 1 mM EDTA) buffer. Residual DNA was removed by treatment with TURBO-DNase (Ambion) followed by purification of the RNA on a RNeasy mini-column (Qiagen). Ribosomal RNA was subsequently depleted with the MICROBExpress procedure (Ambion).
Fernandes A.D., Macklaim J.M., Linn T.G., Reid G, & Gloor G.B. (2013). ANOVA-Like Differential Expression (ALDEx) Analysis for Mixed Population RNA-Seq. PLoS ONE, 8(7), e67019.
Publication 2013
Bacillus cereus Buffers Centrifugation Chloroform Chromosome Deletion Deoxyribonucleases Edetic Acid hydroxybenzoic acid isopentyl alcohol Isopropyl Alcohol Minor Sigma Factor morpholinopropane sulfonic acid Phenol Plasmids Ribosomal RNA Tromethamine
4
Comparative Bacterial Genome Assembly Analysis
In this work we analysed the 96 bacterial genome assemblies available from GAGE-B paper. The genome size of the organism varied from 2.9 MB to 5.4 MB and had a GC percentage from 33 and 69. The analysed genomes were from the bacteria Aeromonas hydrophila SSU (access number NC 008570), Bacillus cereus ATCC 10987 and VD118 (NC 003909, NC 005707), Bacteroides fragilisHMW615 (NC 016776), Mycobacterium abscessus 6G-0125–R (NC 010394, NC 010397), Rhodobacter sphaeroides 2.4.1 (NC 007488, NC 007489, NC 007490, NC 007493, NC 007494, NC 009007, NC 009008), Staphylococcus aureus M0927 (NC 010063, NC 010079, NC 012417), Vibrio cholerae CO1032 (NC 002505, NC 002506) and Xanthomonas axonopodis pv. Manihotis UA323 (NC 016010). The genomic sequences of these organisms were obtained from the NCBI Genbank and used as reference. Two main types of algorithm: (i) the overlap-layout-consensus (OLC) and (ii) algorithms based on a de-Bruijn graph were used in the assemblies carried out by GAGE-B and they are listed in Table S323 (link)24 (link)25 (link)26 (link)27 (link)28 (link)29 (link)30 (link). It is worth noting that the MaSuRCA assembler is the only one that uses both algorithms.
Guizelini D., Raittz R.T., Cruz L.M., Souza E.M., Steffens M.B, & Pedrosa F.O. (2016). GFinisher: a new strategy to refine and finish bacterial genome assemblies. Scientific Reports, 6, 34963.
Publication 2016
Aeromonas hydrophila Bacillus cereus Bacteria Bacteroides GC33 Genome Genome, Bacterial Mycobacterium abscessus Rhodobacter sphaeroides Staphylococcus aureus Vibrio cholerae Xanthomonas axonopodis
5
Antimicrobial Properties of Plant Extracts
The antimicrobial properties of plant extracts were tested against Gram-positive bacteria [Bacillus cereus 10451 (BC), Staphylococcus aureus 10786 (SA)], Gram-negative bacteria [Escherichia coli GIM1.708 (EC), Salmonella enteritidis10982 (SE), Vibrio parahaemolyticus 17802 (VP), and Pseudomonas aeruginosa (B) 10104 (PA)], as well as one pathogenic fungus [Candida albicans (F) 98001 (CA)]. SA, BC, and SE were purchased from China Center for Industrial Culture Collection (CICC; Beijing, China), while EC was provided by Microbial Culture Collection Center of Guangdong (GIMCC; Guangdong, China). VP was purchased from American Type Culture Collection (ATCC), while PA and pathogenic fungus CA were obtained from National Centre for Medical culture collection (CMCC). The Gram-positive and Gram-negative bacteria were pre-cultured in Mueller Hinton broth (MHB) overnight in a rotary shaker at 37°C. Afterward, each strain was adjusted at a concentration of 108 cells/ml using 0.5 McFarland standard (Bhalodia and Shukla, 2011 (link)). The fungal inoculum was prepared from the 48 h culture of fungal isolates in Potato dextrose broth (PDB) (Nisha et al., 2010 ). The spectrophotometer (A595 nm) has been used to adjust the spore density of fungus at a final concentration of 106 spores/ml.
Gonelimali F.D., Lin J., Miao W., Xuan J., Charles F., Chen M, & Hatab S.R. (2018). Antimicrobial Properties and Mechanism of Action of Some Plant Extracts Against Food Pathogens and Spoilage Microorganisms. Frontiers in Microbiology, 9, 1639.
Publication 2018
Bacillus cereus Candida albicans Cells Escherichia coli Fungi Glucose Gram-Positive Bacteria Gram Negative Bacteria Microbicides Pathogenicity Plant Extracts Pseudomonas aeruginosa Salmonella Solanum tuberosum Spores Spores, Fungal Staphylococcus aureus Strains Vibrio parahaemolyticus

Most recents protocols related to «Bacillus cereus»

1
Endophyte Antifungal Screening Protocol
Agar plug diffusion was used to assess the endophytic fungus's antibacterial efficacy against pathogenic bacteria and yeast, as described by Jayatilake and Munasinghe (2020 (link)), with some modifications. Pure endophytic fungal cultures were grown on the PDA surface for three weeks at 28 °C. Fungal colony disks were then cut out (6 mm) under sterile conditions with a cork borer and deposited on Mueller Hinton Agar (MHA) or Sbouraud Dextrose Agar (SDA) previously inoculated with young pathogenic bacteria Pseudomonas aeruginosa ATCC 27853, Escherichia coli ATCC 25922, Staphylococcus aureus ATCC 25923, Bacillus cereus ATCC 10876, or Candida albicans ATCC 1024. A fungus-free PDA disk was used as a negative control. The Petri dishes were then placed in the refrigerator at 4 °C for 2 h to allow the antibacterial compounds to completely diffuse into the agar medium before being incubated at 37 °C for 24 h for bacteria and 48 h for yeast. The zones of inhibition that were formed around the agar plug were measured in order to evaluate the endophytic fungus ANT13 isolate's antimicrobial activity.
Sadrati N., Zerroug A., Demirel R, & Harzallah D. (2023). Anti-multidrug-resistant Staphylococcus aureus and anti-dermatophyte activities of secondary metabolites of the endophytic fungus Penicillium brevicompactum ANT13 associated with the Algerian endemic plant Abies numidica. Archives of Microbiology, 205(4), 110.
Publication 2023
Agar Anti-Bacterial Agents Bacillus cereus Bacteria Candida albicans Diffusion Endophytes Escherichia coli Fungi Glucose Hyperostosis, Diffuse Idiopathic Skeletal Microbicides Pathogenicity Pseudomonas Psychological Inhibition Staphylococcus aureus Sterility, Reproductive Yeasts
2
Characterization of Plant Growth-Promoting Bacteria
Microbial strains were characterized based on morphological [18 ] and biochemical properties including cellulase and catalase production tests [18 ] (Table 1). The plant growth-promoting activities e.g., phosphate solubilization [19 ], indole-3-acetic acid (IAA) by using Salkowski reagent and a few drops of orthophosphoric acid [20 (link)], ammonia production by using Nessler's reagent [21 ], siderophore production by the use of CAS (Chrome Azurol S media) as described by Schwyn and Neilands [22 (link)] were estimated (Table 2). Bio-controlling activities was estimated on dual media plate by inoculation of Fusarium oxysporum and Rhizoctonia solani with bacterial strains [8 (link)] (Fig. 1A and B). Amylase test was done by using preparing 0.1% starch agar media, urease, citrate, and MRVP test was done [18 ].

Biochemical characterization of isolated bacterial strain.

Table 1
StrainsBiochemical characterization
AmylaseCatalaseUreaseCitrate testMethyl redVoges-Proskauer
Pseudomonas sp.IESDJP-V1+++++–+––
Pseudomonas sp.IESDJP-V2++++–++––
Serratia marcescensIESDJP-V3+++++–+
Bacillus cereusIESDJP-V4+++++––+
Ochrobactrum sp.IESDJP-V5++–––+
Azospirillum brasilensisMTCC-4037+++++–
Paenibacillus polymyxaBHUPSB17+++–+––

*Note: In this table “+++”, “++”, “+” and “-”represent the production ability of microbes in high, moderate, low and absent, respectively. All experiment was conducted with 3 replications setup.

Characterization of plant growth promoting biochemical activities of isolated strain.

Table 2
StrainsPhosphate solubilization (μgml−1) at 3daysIAA production (μg ml−1) at 48 h
Siderophore productionAmmonia productionHCN productionBiocontrol activity
150 μgml−1 tryptophan300 μgml−1 tryptophanFusarium oxysporumRhizoctonia solani
Pseudomonas spIESDJP-V139.25 ± .66e30.05 ± .86f34.86 ± .17e++++++++++
Pseudomonas spIESDJP-V233.02 ± .14c18.27 ± .60b32.06 ± .05d+++++++
Serratia marcescensIESDJP-V333.30 ± .16c23.70 ± .35d26.59 ± .07c+++––
Bacillus cereus IESDJP-V437.48 ± .44d20.08 ± .05c25.23 ± .09b+++++
Ochrobactrum spIESDJP-V524.76 ± .12b25.30 ± .87e55.48 ± .08g++++––
Azospirillum brasilenseMTCC-403719.12 ± .12a40.59 ± 1.18g52.08 ± .13f+++–––
Paenibacillus polymyxaBHUPSB17136.14 ± .10f12.56 ± .18a23.11 ± .03a+++++

Note: The data Values are the mean ± SE, mean values in each column with the same superscript (s) do not differ significantly by Duncan multiple post hoc test (P = 0.05). The sign “+++”, “++”, “+” and “-” represent the production ability of microbes in high, moderate, low and absent, respectively. All experiment was conducted with 3 replications setup.

Pseudomonas sp. IESDJP-V1 showed inhibition zone against Fusarium oxysporum (A) and Rhizoctonia solani (B) on dual media plate of mixture of 50% nutrient agar and 50% Potato dextrose agar

Fig. 1
Verma J.P., Jaiswal D.K., Gaurav A.K., Mukherjee A., Krishna R, & Prudêncio de Araujo Pereira A. (2023). Harnessing bacterial strain from rhizosphere to develop indigenous PGPR consortium for enhancing lobia (Vigna unguiculata) production. Heliyon, 9(3), e13804.
Publication 2023
Agar Ammonia Amylase Azospirillum Bacillus Bacillus cereus Bacteria Catalase Cellulase chrome azurol S Citrates DNA Replication Fusarium oxysporum Glucose indoleacetic acid Nutrients Ochrobactrum Paenibacillus Phosphates phosphoric acid Plant Development Pseudomonas Psychological Inhibition Rhizoctonia solani Serratia Siderophores Solanum tuberosum Starch Strains Urease Vaccination
3
Antimicrobial Efficacy of Plant Extract

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Publication 2023
Bacillus cereus Bacteria Biological Assay Cardiac Arrest Escherichia coli Gram-Positive Bacteria Gram Negative Bacteria Microbicides Minimum Inhibitory Concentration Pseudomonas aeruginosa resazurin Staphylococcus aureus Streptomycin Sulfate Technique, Dilution
4
Bacterial Reference Strain Cultivation and DNA Extraction
Reference strains of S. agalactiae, Streptococcus uberis, Streptococcus dysgalactiae, Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Pasteurella multocida, Salmonella, Proteus mirabilis, Bacillus cereus, Serratia marcescens, and Shigella sonnei were kept in our laboratory. All strains were grown at 37°C at 150 revolutions per minute (rpm) for 12 h. Genomic DNA was extracted with a D3350 bacterial DNA kit purchased from Omega.
Zhu L., Gong F., Liu X., Sun X., Yu Y., Shu J, & Pan Z. (2023). Integrating filter paper extraction, isothermal amplification, and lateral flow dipstick methods to detect Streptococcus agalactiae in milk within 15 min. Frontiers in Veterinary Science, 10, 1100246.
Publication 2023
Bacillus cereus DNA, Bacterial Escherichia coli Genome Klebsiella pneumoniae Pasteurella multocida Proteus mirabilis Salmonella Serratia marcescens Shigella sonnei Staphylococcus aureus Strains Streptococcus dysgalactiae Streptococcus uberis
5
Phage Biosensor Cross-Reactivity Evaluation
Responses of the phage biosensor to foreign (non-targeting) bacterial strains were tested here to evaluate the degree of cross-reactivity. Therefore, a suspension of 103 CFU/ml of each of non-targeting foodborne pathogens including Bacillus cereus, Shigella sonnei, Listeria monocytogenes, Salmonella typhimurium, Staphylococcus aureus, Pseudomonas aeruginosa, E. coli O18, E. coli-ATCC 8739, and E. coli 157: H7 NCTC 12,900. A separate incubation between the biosensor chips and each of the prepared suspension for 5 min took place before measuring the EIS responses. The EIS of the biosensor's response towards the targeting strain was added as a positive control.
Abdelhamied N., Abdelrahman F., El-Shibiny A, & Hassan R.Y. (2023). Bacteriophage-based nano-biosensors for the fast impedimetric determination of pathogens in food samples. Scientific Reports, 13, 3498.
Publication 2023
A 103 Bacillus cereus Bacteria Bacteriophages Biosensors Cross Reactions DNA Chips Escherichia coli Listeria monocytogenes Pathogenicity Pseudomonas aeruginosa Salmonella typhimurium Shigella sonnei Staphylococcus aureus Strains

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More about "Bacillus cereus"

Bacillus cereus is a spore-forming, Gram-positive bacterium that is widely found in soil and agricultural environments.
This opportunistic pathogen is known to cause a variety of foodborne illnesses, including emetic and diarrheal syndromes, through the production of enterotoxins and other virulence factors.
Beyond foodborne infections, Bacillus cereus has also been implicated in more severe conditions, such as septicemia, endophthalmitis, and pneumonia, particularly in immunocompromised individuals.
Comparing Bacillus cereus to other well-known pathogens like Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Enterococcus faecalis, and Klebsiella pneumoniae can provide valuable insights into its epidemiology, pathogenesis, and potential treatment strategies.
Researchers studying Bacillus cereus can benefit from tools like PubCompare.ai, which offers a seamless platform to locate, compare, and identify the best protocols and products to advance their studies and enhance reproducibility.
By leveraging advanced comparison tools, researchers can optimize their Bacillus cereus research and stay up-to-date with the latest developments in the field, including insights from related bacteria like Bacillus subtilis and Micrococcus luteus, as well as the fungal pathogen Candida albicans.
With a focus on understanding Bacillus cereus's epidemiology, pathogenesis, and prevention and treatment strategies, researchers can drive progress in this important area of study and contribute to the development of more effective interventions against this opportunistic and potentially deadly pathogen.