| Skermanella| Skermanella Sly and Stackebrandt 1999 emend. Luo et al. 2012| Skermanella Sly and Stackebrandt 1999 emend. Weon et al. 2007
Environmental Bacteria: Skermanella species are primarily associated with environmental habitats such as soil and water. They are considered part of the microbial diversity in natural ecosystems.
Limited Clinical Significance: While some bacteria within the Comamonadaceae family may have been isolated from clinical samples, the clinical significance of Skermanella specifically in terms of its impact on human health is not well-established.
Opportunistic Pathogens: Some bacteria in the Comamonadaceae family, but not necessarily Skermanella, have been identified as opportunistic pathogens, meaning they may cause infections in individuals with weakened immune systems or underlying health conditions.
Antibiotic Susceptibility: The susceptibility of Skermanella species to antibiotics and their potential resistance patterns are not well-characterized. This information is crucial for guiding treatment if an infection is identified.
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:
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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. |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BiomeSight | 0.4397 | 0.026 | 0.007 | 0.001 | 0.892 | 0.0598 | 0.9537 | 0.003 - 0.022 | 0.001 - 0.1166 | -0.0906 - 0.1427 | -0.0255 - 0.0505 | 0.004 | 0.0086 | 1629 |
Thorne | 0.2169 | 0.0003 | 0.0002 | 0.0001 | 0.0013 | 0.0003 | 0.6124 | 0.0001 - 0.0002 | 0.0001 - 0.0009 | -0.0003 - 0.0008 | -0.0001 - 0.0004 | 0.0001 | 0.0002 | 41 |
Thryve | 0.0565 | 0.0026 | 0.0023 | 0.0009 | 0.013 | 0.0017 | 0.5293 | 0.0017 - 0.0033 | 0.0009 - 0.0048 | -0.0007 - 0.0058 | -0.0007 - 0.0056 | 0.002 | 0.0023 | 70 |
Vitract | 0.01 | 0 | - | - | - | - | 8 |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
PrecisionBiome | 1.696239269222133E-05 | 3.1714796932647005E-05 | 0 | 0 |
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And display level must be raised above public.
This is base on Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome. See that paper for details on foods groups.
Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.
Explanations /Info /Descriptions are influenced by Large Language Models and may not be accurate and include some hallucinations.Please report any to us for correction.
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