| "Bacillus pasteurianus" (Winogradsky 1895) Lehmann and Neumann 1907| "Bacillus pastorianus" (Winogradsky 1902) Lehmann and Neumann 1907| "Bacillus winogradsky" Matzuschita 1902| "Butyribacillus pasteurianus" (Winogradsky 1895) Orla-Jensen 1909| "Clostridium pastorianus" (sic) Winogradsky 1902| ATCC 6013| Bacillus pasteurianus| Bacillus pastorianus| Bacillus winogradsky| BCRC 10942| Butyribacillus pasteurianus| CCRC 10942| CCRC:10942| CCUG 31328| CECT 377| Clostridium pasteurianum| Clostridium pasteurianum Winogradsky 1895| Clostridium pastorianus| DSM 525| JCM 1408| KCTC 1674| LMG 3285| LMG:3285| NCIMB 9486| VKM B-1774
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.
The above data is from 1000 Healthy Individuals done using Shotgun(10 Millions reads) provide courtesy of Precision Biome.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
Statistics
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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 | Average | Median | Minimum | Maximum | Std.Dev. | Skew | 25 - 75 Percentile | 5 - 95 Percentile | Lab Ranges | Box-Plot-Whiskers | Harmonic Mean | Geometric Mean | Obs. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| es-xenogene | 0.9545 | 0.0179 | 0.013 | 0.0004 | 0.056 | 0.0147 | 0.9974 | 0.006 - 0.025 | 0.003 - 0.04 | -0.0107 - 0.0465 | -0.0225 - 0.0535 | 0.0045 | 0.0115 | 21 |
| Thorne | 0.8995 | 0.0013 | 0.0009 | 0.0001 | 0.0072 | 0.001 | 0.9692 | 0.0006 - 0.0018 | 0.0002 - 0.0031 | -0.0008 - 0.0033 | -0.0011 - 0.0035 | 0.0007 | 0.0009 | 170 |
| Thryve | 0.0169 | 0.0022 | 0.002 | 0.0008 | 0.0045 | 0.0012 | 0.452 | 0.0011 - 0.0031 | 0.0008 - 0.0042 | -0.0002 - 0.0045 | -0.0019 - 0.0061 | 0.0016 | 0.0019 | 21 |
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| PrecisionBiome | 1.7586093235877343E-05 | 0.00012586344382725656 | 0 | 0 |
| Thorne (20/80%ile) | 7.42 | 18.17 | 0.0007 | 0.0018 |
| XenoGene | 100 | 1000 | 0.01 | 0.1 |
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And display level must be raised above public.
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