For the possible significance see Oral bacteria relative abundance in faeces increases due to gut microbiota depletion and is linked with patient outcomes, 2024
| "Bacillus a" von Freudenreich 1890| "Bacillus a" von Freudenreich 1891| "Bacillus casei a" von Freudenreich and Thoni 1904| "Bacterium casei a" Orla-Jensen 1916| "Caseobacterium vulgare" Orla-Jensen 1916| "Lactobacillus casei" Bergey et al. 1923| "Lactobacterium casei" (Orla-Jensen 1916) Krasil'nikov 1949| "Streptobacterium casei" Orla-Jensen 1919| ATCC 393| Bacillus a| Bacillus casei a| Bacterium casei a| BCRC 10697| Caseobacterium vulgare| CCRC 10697| CCRC:10697| CECT 475| CIP 103137| DSM 20011| IAM 12473| IFO 15883| JCM 1134| KCTC 3109| Lactobacillus casei| Lactobacillus casei (Orla-Jensen 1916) Hansen and Lessel 1971 (Approved Lists 1980) emend. Dicks et al. 1996| Lactobacillus casei subsp. casei| Lactobacillus sp. NCIM 2363| Lactobacillus sp. NCIM 2732| Lactobacillus sp. T2| Lactobacillus sp. T20| Lactobacterium casei| LMG 6904| LMG:6904| NBRC 15883| NCDO 161| NCIMB 11970| NRRL B-1922| strain Hucker03| strain Orla-Jensen 7| strain OrlandL-323| strain Tittsler303| Streptobacterium casei
Environmental Role: Flavobacterium aquatile and other members of the genus Flavobacterium are known for their diverse metabolic capabilities and their ability to degrade complex organic compounds in aquatic environments. They contribute to nutrient cycling, organic matter decomposition, and the maintenance of ecosystem balance in freshwater and marine habitats.
Biotechnological Applications: Some Flavobacterium species, including Flavobacterium aquatile, have been studied for their potential biotechnological applications, particularly in the fields of wastewater treatment, bioremediation, and aquaculture. They may have roles in the degradation of pollutants and the production of enzymes or bioactive compounds with industrial or environmental significance.
Rare Human Infections: While Flavobacterium aquatile is not considered a common human pathogen, there have been rare reports of infections in humans, typically associated with immunocompromised individuals or those with underlying medical conditions. In such cases, Flavobacterium aquatile infections may present as opportunistic infections, such as wound infections, bacteremia, or urinary tract infections.
Prevention: Preventive measures to minimize the risk of infections with Flavobacterium aquatile or other environmental bacteria include maintaining good hygiene practices, avoiding exposure to contaminated water sources, and implementing proper wound care and infection control measures, particularly in healthcare settings.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
![]() |
NCBI | Data Punk | End Products Produced |
Different labs use different software to read the sample. See this post for more details.
One lab may say you have none, another may say you have a lot! - This may be solely due to the software they are using to estimate.
We deem lab specific values using values from the KM method for each specific lab to be the most reliable.
Lab | Frequency | UD-Low | UD-High | KM Low | KM High | Lab Low | Lab High | Mean | Median | Standard Deviation | Box Plot Low | Box Plot High | KM Percentile Low | KM Percentile High |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Other Labs | 0.26 | 1 | 480 | 0 | 478 | 106.2 | 10 | 189.7 | 1 | 480 | 12.5 %ile | 75 %ile | ||
biomesight | 7.46 | 0 | 0 | 10 | 3830 | 0 | 1120 | 150.7 | 35 | 494.3 | 0 | 120 | 0 %ile | 100 %ile |
thorne | 34.48 | 1 | 24 | 0 | 18 | 4.9 | 3 | 6.8 | 1 | 24 | 8.3 %ile | 83.3 %ile | ||
thryve | 0.45 | 25 | 49 | 17 | 55 | 35.8 | 33 | 9.6 | 25 | 49 | 14.3 %ile | 71.4 %ile | ||
ubiome | 0.25 | 33 | 36 | 30 | 39 | 34.5 | 34 | 2.1 | 33 | 36 | 25 %ile | 50 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
PrecisionBiome | 1.1653918591036927E-05 | 0.00039793047471903265 | 0 | 0 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 7.801 % | 0.015 % | 0.05 % | 369.0 | 4730 |
CerbaLab | 33.333 % | 0.001 % | % | 1.0 | 3 |
CosmosId | 3.125 % | 0.048 % | % | 1.0 | 32 |
custom | 7.792 % | 0.001 % | 0 % | 6.0 | 77 |
es-xenogene | 9.375 % | 0.002 % | 0.001 % | 3.0 | 32 |
Precision | 25 % | 0.002 % | % | 1.0 | 4 |
Thorne | 25 % | 0.006 % | 0.016 % | 74.0 | 296 |
Thryve | 0.453 % | 0.003 % | 0.002 % | 7.0 | 1546 |
Tiny | 8.333 % | 0.013 % | % | 1.0 | 12 |
uBiome | 0.249 % | 0.003 % | 0 % | 2.0 | 802 |
|
And display level must be raised above public.
Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.