Bacteroides fragilis
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»
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
Most recents protocols related to «Bacteroides fragilis»
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).
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 (
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.
Top products related to «Bacteroides fragilis»
More about "Bacteroides fragilis"
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.