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Bacteroides fragilis

Bacteroides fragilis: A Pivotal Anaerobic Bacterium in the Human Microbiome.
Bacteroides fragilis is a Gram-negative, anaerobic bacterium that plays a crucial role in the human gut microbiome.
It is known for its metabolic versatility, contributing to the breakdown of complex polysaccharides and the production of short-chain fatty acids.
This species has also been implicated in the pathogenesis of various gastrointestinal disorders, including inflammatory bowel disease and colorectal cancer.
As a key member of the Bacteroidetes phylum, B. fragilis offers valuable insights into the delicate balance of the human gut ecosystem and its impact on health and disease.
Expereince the future of research optimization today with PubCompare.ai, an AI-driven tool for streamlining your B. fragilis studies.

Most cited protocols related to «Bacteroides fragilis»

For evaluation of assay performance, genomic materials or reference strains were obtained from American Tissue and Culture Collection (ATCC, Manassas, VA) or BEI resources for adenovirus 1, 5, 40 and 41, human cytomegalovirus, enterovirus 71, Epstein-Barr virus, Aeromonas hydrophila, Bacteroides fragilis, Campylobacter coli, Campylobacter upsalensis, Campylobacter hyointestinalis, Campylobacter jejuni, Helicobacter pylori, Listeria monocytogenes, Mycobacterium tuberculosis, Plesiomonas shigelloides, Salmonella enterica, Vibrio parahaemolyticus, Yersinia enterocolitica, Blastocystis hominis, Cryptosporidium hominis, Cryptosporidium meleagridis, Schistosoma mansoni. Cryptosporidium parvum and Encephalitozoon intestinalis were purchased from Waterborne Inc. (New Orleans, LA). PCR amplicons were generated from the relevant positive clinical samples for Ancyclostoma duodenale, Necator americanus, Strongyloides stercoralis, Cyclospora cayetanensis, Cystoisospora belli, and Enterocytozoon bieneusi. For comparison between stool and swab (FLOQSwabs; Copan Italia, Brescia, Italy), 129 consecutive swab samples were collected from children under five admitted for acute diarrhea in Haydom Lutheran Hospital, Tanzania. A matched stool sample from the same patient was obtained as soon as feasible within the same day. Raw stool samples were transported with a cold chain to the lab within 6 hours and stored at -80°C until testing. Swabs were stored at room temperature until testing. For comparison between different extraction methods and validation of the newly developed qPCR assays on clinical samples, we chose 246 archived stool samples collected in Tanzania, Bangladesh, Nepal, Pakistan, and India through the MAL-ED project (the Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development [6 (link)]) in order to obtain specimens positive for 30 diverse enteropathogens. All sites including Haydom Global Health Institute, Tanzania, Aga Khan University, Pakistan, Armed Forces Research Institute of Medical Sciences, Thailand, International Centre for Diarrhoeal Disease Research, Bangladesh, Christian Medical College, India, received ethical approval from their respective governmental, local institutional, and collaborating institutional ethics review boards. Written informed consent was obtained from the parent or guardian of every child.
Publication 2016
Adenovirus Infections Aeromonas hydrophila Bacteroides fragilis Biological Assay Blastocystis hominis Campylobacter Campylobacter coli Campylobacter hyointestinalis Campylobacter jejuni Child Children's Health Cryptosporidium Cryptosporidium parvum Cyclospora Diarrhea Encephalitozoon intestinalis Enterocytozoon bieneusi Enterovirus Infections Epstein-Barr Virus Feces Genome Helicobacter pylori Human Herpesvirus 5 Infection Legal Guardians Listeria monocytogenes Malnutrition Military Personnel Mycobacterium tuberculosis Necator americanus Parent Patients Plesiomonas shigelloides Salmonella enterica Schistosoma mansoni Strains Strongyloides stercoralis Tissues Vibrio parahaemolyticus Yersinia enterocolitica
For validation, StrainPhlAn was applied to a combination of synthetic and semisynthetic data sets. StrainPhlAn was first tested on two HMP Mock samples (Human Microbiome Consortium 2012 (link)) containing strains from 21 known reference genomes, in which their abundances were either staggered or evenly distributed. StrainPhlAn reconstructed the strains for the 11 species with sufficient coverage (Supplemental Table S1). Except for Staphylococcus aureus and Clostridium beijerinckii (whose genomes are discordant also based on metagenomic assembly) (Supplemental Table S1), our method can reconstruct the other species strains with SNV rates less than 0.0001.
In addition, we also validated StrainPhlAn on 36 synthetic data sets of four species (Bacteroides dorei, Bacteroides fragilis, Bacteroides ovatus, Bifidobacterium longum). For each species, we generated synthetic data by sampling reads from its genomes with an Illumina-based error model (McElroy et al. 2012 (link)) with coverages ranging from 2× to 10× using custom scripts available at https://bitbucket.org/CibioCM/synmetap/overview. These synthetic samples were then also added to real HMP stool metagenomes (in which the four synthetic species was absent) to create 36 additional semisynthetic samples. StrainPhlAn was applied on both synthetic and semisynthetic samples, and the accuracy was evaluated by detecting the number of SNVs of the reconstructed markers compared to the original reference genomes. The evaluation was repeated at increasing coverages of the target strains as reported in Supplemental Figure S2. An additional validation was performed by reconstructing strain markers from synthetic metagenomes and including them in the phylogeny built with the reference genomes (Supplemental Figs. S3, S4). On the combined phylogeny, the accuracy of the reconstruction can be evaluated by measuring the phylogenetic distance between the reconstructed strains and the corresponding reference genome (Supplemental Figs. S3, S4). ConStrains (Luo et al. 2015 (link)) was applied on the same data (Supplemental Figs. S3, S4). For the validation on real samples (Supplemental Fig. S5; Supplemental Table S2), we used 19 metagenomes in the MetaHIT (Nielsen et al. 2014 (link)) data set from subjects that consumed a fermented milk product containing the previously sequenced Bifidobacterium animalis subsp. lactis CNCM I-2494.
Publication 2017
Bacteroides dorei Bacteroides fragilis Bacteroides ovatus Bifidobacterium animalis Bifidobacterium longum Clostridium beijerinckii Cultured Milk Products Feces Genome Human Microbiome Metagenome Reconstructive Surgical Procedures Staphylococcus aureus Strains
Two defined DNA mixture were created using 10 different plasmids, each containing a near full length 16S rDNA amplicon, obtained using primers BSF8 and BSR1541. One mixture had an equal amount of each plasmid and one was staggered to contain different proportions of each clone. The strains and proportions on the Staggered mix are: Clostridium dificile (ATCC#: BAA-1382) - 39.99%, Bacteroides fragilis (ATCC#: 25285) - 32.01%, Streptococcus pneumoniae (ATCC#: BAA_334) - 4.92%, Desulfovibrio vulgaris (ATCC#: 29579) - 1.95%, Campylobacter jejunii (ATCC#: 700819) - 2.03%, Rhizobium vitis (ATCC#: BAA_846) - 2.00%, Lactobacillus delbruekii (ATCC#: BAA-365) - 5.06%, Escherichia coli HB101 - 2.01%, Treponema sp. (macaque stool clone) - 7.97%, and Nitrosomonas sp. (environmental clone) - 2.04%. Clones were made using the Topo-XL kit (Cat# K4700-20, Invitrogen, Carlsbad, CA). Two polymerases were tested for the Staggered mix, AmpliTaq (as used for stool DNA samples) and GreenTaq (Promega, Madison, WI) as per manufacturer instructions. The PCR cycling conditions were the same as described for the stool sample DNA.
Publication 2010
Agrobacterium vitis Bacteroides fragilis Campylobacter Clone Cells Clostridium Desulfovibrio vulgaris DNA, Ribosomal Escherichia coli Feces Lactobacillus Macaca Nitrosomonas Oligonucleotide Primers Plasmids Promega Strains Streptococcus pneumoniae Topotecan Treponema
The bacterial counts was estimated from the slope of the standard curve as described earlier [43 (link)], generated by using the following standard strains: Ruminococcus productus ATCC 27340T (for the Clostridium coccoides group), Faecalibacterium prausnitzii ATCC 27768T (for the Clostridium leptum group), Bacteroides vulgatus ATCC 8482T (for the Bacteroides fragilis group), Bifidobacterium longum subsp. longum ATCC 15707T (for the Genus Bifidobacterium), Collinsella aerofaciens ATCC 25986T (for the Atopobium cluster), Prevotella melaninogenica ATCC 25845T (for the Genus Prevotella), Bacteroides caccae ATCC 43185T (for Bacteroides caccae), Bacteroides eggerthii ATCC 27754T (for Bacteroides eggerthii), Bacteroides fragilis ATCC 25285T (for Bacteroides fragilis), Bacteroides ovatus ATCC 8483T (for Bacteroides ovatus), Bacteroides thetaiotaomicron ATCC 29148T (for Bacteroides thetaiotaomicron), Bacteroides uniformis ATCC 8492T (for Bacteroides uniformis), Bacteroides vulgatus ATCC 8482T (for Bacteroides vulgatus), Bifidobacterium adolescentis ATCC 15703T (for the Bifidobacterium adolescentis group), Bifidobacterium animalis subsp. lactis DSM 10140T (for Bifidobacterium animalis subsp. lactis), Bifidobacterium bifidum ATCC 29521T (for Bifidobacterium bifidum), Bifidobacterium breve ATCC 15700T (for Bifidobacterium breve), Bifidobacterium pseudocatenulatum JCM 1200T (for the Bifidobacterium catenulatum group), Bifidobacterium dentium ATCC 27534T (for Bifidobacterium dentium), Bifidobacterium longum subsp. infantis ATCC 15697T (for Bifidobacterium longum subsp. infantis), Bifidobacterium longum subsp. longum ATCC 15707T (for Bifidobacterium longum subsp. longum), Clostridium perfringens JCM 1290T (for Clostridium perfringens), Escherichia coli ATCC 11775T (for the Family Enterobacteriaceae), Enterococcus faecalis ATCC 19433T (for the Genus Enterococcus), Staphylococcus aureus ATCC 12600T (for the Genus Staphylococcus), Lactobacillus fermentum ATCC 14931T (for Lactobacillus fermentum), Lactococcus lactis subsp. lactis JCM 5805T (for the Lactococcus lactis subgroup), Lactobacillus casei ATCC 334T (for the Lactobacillus casei subgroup), Lactobacillus gasseri DSM 20243T (for the Lactobacillus gasseri subgroup), Lactobacillus plantarum ATCC 14917T (for the Lactobacillus plantarum subgroup), Lactobacillus sakei subsp. sakei JCM 1157T (for the Lactobacillus sakei subgroup), Lactobacillus reuteri JCM 1112T (for the Lactobacillus reuteri subgroup), and Lactobacillus ruminis JCM 1152T (for the Lactobacillus ruminis subgroup).
Publication 2016
Bacteroides caccae Bacteroides eggerthii Bacteroides fragilis Bacteroides ovatus Bacteroides thetaiotaomicron Bacteroides uniformis Bacteroides vulgatus Bifidobacterium Bifidobacterium adolescentis Bifidobacterium animalis Bifidobacterium bifidum Bifidobacterium breve Bifidobacterium catenulatum Bifidobacterium dentium Bifidobacterium longum subsp. longum Bifidobacterium longum subspecies infantis Bifidobacterium pseudocatenulatum Blautia coccoides Blautia producta Clostridium Clostridium perfringens Collinsella aerofaciens Counts, Bacterial Enterobacteriaceae Enterococcus Enterococcus faecalis Escherichia coli Faecalibacterium prausnitzii Lacticaseibacillus casei Lactobacillus gasseri Lactobacillus plantarum Lactobacillus reuteri Lactobacillus ruminis Lactobacillus sakei Lactobacillus sakei subsp. sakei Lactococcus lactis Lactococcus lactis subsp. lactis Limosilactobacillus fermentum Prevotella Prevotella melaninogenica Staphylococcus Staphylococcus aureus Strains
The strains listed below were obtained from the American Type Culture Collection (ATCC) and used as marker on TTGE gel electrophoresis: Bacteroides fragilis ATCC 23745, Bacteroides thetaiotaomicron ATCC 29148, Bacteroides vulgatus ATCC 8482, Parabacteroides distasonis ATCC 8503, Escherichia coli MG1655. Bacterial DNA was extracted with UltraClean kit (MO BIO Laboratories, Solana Beach, California, USA) according to the manufacturer's instructions.
Publication 2010
Bacteroides fragilis Bacteroides thetaiotaomicron Bacteroides vulgatus DNA, Bacterial Electrophoresis Escherichia coli Parabacteroides distasonis Strains

Most recents protocols related to «Bacteroides fragilis»

The bacterial strains used in this study were Bacteroides fragilis (32-6-I 11 MRS AN), Escherichia coli K12 (ATCC 25404), Bifidobacterium longum subsp. infantis (ATCC 15697), Bacteroides caccae (ATCC 43185), Prevotella intermedia (ATCC 25611), Clostridium beijerinckii (ATCC 51743), Ruminococcus bromii (ATCC 27255), Akkermansia muciniphila (ATCC BAA-835), and Enterococcus faecalis (SF24397). Each bacterium was originally isolated from the human gut, with the exception of P. intermedia, which comes from the human oral cavity. All bacteria were cultured anaerobically in an anerobic chamber (Coy Laboratory Products; 5% H2, 20% CO2, 75% N2) at 37°C overnight directly from frozen (−80°C) glycerol stocks, in autoclaved reduced Bovine Heart Infusion broth (rBHI; Oxoid).
Publication 2023
Akkermansia muciniphila Bacteria Bacteria, Anaerobic Bacteroides caccae Bacteroides fragilis Bifidobacterium longum subspecies infantis Cattle Clostridium beijerinckii Enterococcus faecalis Escherichia coli K12 Freezing Glycerin Heart Homo sapiens Oral Cavity Prevotella intermedia Ruminococcus bromii Strains
We obtained Bacteroides fragilis NCTC 9343 from the National Collection of Type Cultures (London, UK). The bacterium was reactivated following the manufacturer’s protocol. B. fragilis was grown in Brain Heart Infusion (BHI) broth (Sigma Aldrich, St. Louis, MO, USA) and used for transplantation in the antibiotics-treated mice. The culture was incubated anaerobically at 37 °C for 24 h [34 (link)]. A 5 × 107 CFU/mL culture suspension of B. fragilis was centrifuged at 3000× g for 15 min. Bacterial pellets were resuspended in phosphate-buffered saline and washed twice. Viability was determined by plating an aliquot of serially diluted bacterial suspension on blood agar (Sigma Aldrich, St. Louis, MO, USA). The mice were gavaged with 200 µL of B. fragilis suspension a day after stopping antibiotics (Figure 1C).
Publication 2023
Agar Antibiotics, Antitubercular Bacteria Bacteroides fragilis Blood Brain Heart Mus Pellets, Drug Phosphates Saline Solution Transplantation
Bacterial DNA was extracted with the QIAamp DNA stool Minikit (Qiagen Inc., Valencia, CA, USA), following the manufacturer’s instructions. DNA concentration and purity were determined with a Nanodrop N1000 (Thermo Fisher Scientific, Carlsbad, CA, USA). The count of gut microbiota was determined with specific primers [63 (link),64 (link),65 (link),66 (link),67 (link)] shown in Supplementary Table S1. To determine the microbiota abundance, curves of calibration were performed using Bacteroides fragilis ATCC 25285, Prevotella melanonigenica ATCC 25845, Porphyromonas gingivalis ATCC 33277, and Escherichia coli ATCC 25922 reference strains, as well as with the Lactobacillus strain of Lactobacillus casei Shirota of Yakult®. Serial dilutions from bacteria cells ranging between 18 × 106 at 18 × 100 were used to isolate DNA and performed the qPCR curves of calibration.
The qPCR was performed using 5 μL Maxima SYBR Green/ROX (Thermo Scientific, Vilnius, Lituania), 0.31 μL of specific primers (0.25 μmol/L), and 1 μL of DNA (20 ng) in a total 12.5 μL volume. Negative controls were included in each experiment. The calibration curves of each bacterium were duplicated in each assay. The fluorescence products were detected in the reaction cycles using the equipment StepOnePlus Real-Time PCR System (Applied Biosystems, Foster City, CA, USA). The abundance was quantified using cycle threshold (Ct) values, and the data was graphically represented in Log, base 10 (log 10).
Publication 2023
Bacteria Bacteroides fragilis Biological Assay Cells DNA, Bacterial Escherichia coli Feces Fluorescence Gastrointestinal Microbiome Lacticaseibacillus casei Microbial Community Oligonucleotide Primers Porphyromonas gingivalis Prevotella Strains SYBR Green I Technique, Dilution
Simulated short-read metagenomic datasets were obtained using NeSSM software [55 (link)] and the genomic sequences of five bacterial species, Sulfolobus islandicus, Proteus mirabilis, Nitrosospira multiformis, Bacteroides fragilis, and Acidobacterium capsulatum [26 (link)]. For the first simulation, we prepared three relative abundance vectors of these species (0.297, 0.507, 0.116, 0.058, 0.022), (0.345, 0.244, 0.281, 0.088, 0.042), and (0.526, 0.320, 0.042, 0.066, 0.046) according to the simulation method of Jiang et al. [19 (link)]. From these abundance vectors, we generated 30 vectors in which each of the five values was increase or decrease by 5%, and used them to generated 30 metagenomic samples by mixing the randomly sampled short reads from the five bacteria using NeSSM [55 (link)].
In the second simulation, we generated 30 vectors from the original species abundance vectors used for the first simulation. These 30 vectors were generated by adding to each component the absolute value of one-fifth Gaussian noise, with mean zero and standard deviation equal to the value of that component. Each species abundance vector was randomized and renormalized 10 times, and the 30 vectors, which belonged to three groups with 10 vectors in each group, were obtained (Fig 2A). These vectors were used to generate 30 metagenomic samples as was done in the first simulation.
Publication 2023
Acidobacterium capsulatum Bacteria Bacteroides fragilis Cloning Vectors Genome, Bacterial Metagenome Nitrosospira multiformis Proteus mirabilis Sulfolobus islandicus
Raw DDA data of the unlabeled 12-species samples were analyzed by search against a database combining the sequences of the 12 species downloading from UniProt Proteomes (https://www.uniprot.org/, accessed in June 2020): Clostridium butyricum (4245 entries), Escherichia coli (5062 entries), Enterococcus casseliflavus (3112 entries), Klebsiella aerogenes strain ATCC 13048 (4909 entries), Lactobacillus acidophilus (1859 entries), Bacteroides fragilis strain ATCC 25285 (4234 entries), Citrobacter freundii (5149 entries), Enterobacter asburiae (5254 entries), Pseudomonas aeruginosa (5564 entries), Klebsiella pneumoniae (5126 entries), Enterococcus faecalis (3240 entries), and Morganella morganii (3510 entries). Data of the spike-in metaproteome samples were searched against a database combining the UniProt sequences of the 6 species and proteins translated from the metagenomic sequencing data of the fecal sample (468,096 entries). All of the software workflows were run using the default settings with modifications to make their results comparable. Trypsin was set as enzyme, and the maximum number of missed cleavages was set as 2. Carbamidomethylation (C) was specified as a fixed modification. Oxidation (M) and Acetylation (Protein N-term) were specified as variable modifications. Protein quantification is performed using unique and razor peptides as default settings of the software.

PEAKS workflow: PEAKS Studio31 (link) (version X+, Bioinformatics Solutions Inc., Waterloo, Canada) was used. The MS1 tolerance was set as 7 ppm, and the MS2 tolerance was 0.02 Da. The false discovery rate (FDR) cut-off at both peptide and protein level was 1% by using a target-decoy strategy. Other parameters were default. In order to export the complete quantification results, protein significance filter was set to 0, protein fold change filter to 1 and unique peptide filter to 1 in the export settings.

MaxQuant workflow: MaxQuant36 (link) (version 2.0.3.0) was used. MaxLFQ was on. Peptide-spectrum match (PSM) and protein FDR cut-offs were 1%. Match between runs was on. Other parameters were default.

FragPipe workflow: FragPipe (version 17.1) with MSFragger67 (link) (version 3.4), Philosopher68 (link) (version 4.1.0), and IonQuant69 (link) (version 1.7.17) was used. The built-in workflow for LFQ with match between runs was selected. Peptide and protein FDR cut-offs were 1%. Other parameters were default.

Publication 2023
Acetylation Bacteroides fragilis Citrobacter freundii Clostridium butyricum Cytokinesis Enterobacter aerogenes Enterobacter asburiae Enterococcus casseliflavus Enterococcus faecalis Enzymes Escherichia coli Feces Immune Tolerance Klebsiella pneumoniae Lactobacillus acidophilus Metagenome Morganella morganii nucleoprotein, Measles virus Peptides Post-Translational Protein Processing Proteins Proteome Pseudomonas aeruginosa Strains Trypsin

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Bacteroides fragilis is a type of anaerobic bacterium that can be used in laboratory settings. It is a key component of the human gut microbiome and plays a role in various physiological processes. This product provides a reliable source of the Bacteroides fragilis strain for research and experimental purposes.
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Enterococcus faecalis is a Gram-positive, facultatively anaerobic bacterium. It is commonly found in the human gastrointestinal tract and is known for its ability to survive in diverse environments.
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ATCC25285 is a laboratory equipment item from the American Type Culture Collection. It is a sterile, single-use cell culture flask designed for the cultivation of various cell lines. The product provides a controlled environment for cell growth and experimentation.
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BHI broth is a general-purpose microbiological growth medium. It is composed of a mixture of nutrients designed to support the growth of a wide range of microorganisms, including bacteria, yeast, and fungi. The broth provides essential nutrients and growth factors required for microbial proliferation.
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α-L-fucosidase is an enzyme isolated from bovine kidney. It catalyzes the hydrolysis of terminal α-L-fucose residues from various glycoconjugates.
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The AnaeroGen gas pack is a laboratory product designed to create an anaerobic environment. It functions by generating an anaerobic atmosphere through a chemical reaction.
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Bacteroides fragilis ATCC 25285 is a bacterial strain obtained from the American Type Culture Collection (ATCC). It is a strictly anaerobic, gram-negative, non-spore-forming, rod-shaped bacterium. The strain serves as a reference material for microbiological and biochemical studies.

More about "Bacteroides fragilis"

Bacteroides fragilis is a crucial anaerobic bacterium found in the human gut microbiome.
As a member of the Bacteroidetes phylum, this Gram-negative species plays a vital role in the breakdown of complex polysaccharides and the production of short-chain fatty acids.
B. fragilis is known for its metabolic versatility and has been implicated in various gastrointestinal disorders, including inflammatory bowel disease and colorectal cancer.
The ATCC25285 strain of B. fragilis is a commonly used reference strain for research and clinical applications.
Studying this bacterium involves culturing techniques like BHI (Brain Heart Infusion) broth and the use of Etest strips for antimicrobial susceptibility testing.
The VITEK MS system can also be employed for rapid identification of B. fragilis isolates.
Beyond the gut, B. fragilis has been associated with other clinical conditions, such as intra-abdominal infections and bacteremia.
In these cases, the activity of the α-L-fucosidase enzyme from bovine kidney may be utilized for diagnostic purposes.
Additionally, the use of AnaeroGen gas packs can facilitate the anaerobic growth of B. fragilis in the laboratory setting.
Exploring the intricate relationship between B. fragilis and the human microbiome can provide valuable insights into the delicate balance of this ecosystem and its impact on health and disease.
Optimizing research protocols and techniques, such as those offered by PubCompare.ai, can streamline the investigation of this pivotal anaerobic bacterium and accelerate the advancement of our understanding in this field.