| "Desulfuromonaceae" Kuever et al. 2005| Desulfuromonaceae| Desulfuromonadaceae| Desulfuromonadaceae corrig. Kuever et al. 2006 emend. Greene et al. 2009| Pelobacteraceae
Anaerobic Environments: Desulfuromonadaceae bacteria are commonly found in anaerobic environments, such as sediments, where they participate in various biogeochemical processes, including the reduction of metals and sulfur compounds.
Metal Reduction: Some members of Desulfuromonadaceae are capable of reducing metals as part of their metabolic processes. This ability is of interest in environmental microbiology and bioremediation studies.
Limited Association with Human Health: As of my last update, Desulfuromonadaceae bacteria are not recognized as common human pathogens, and there is limited information on their direct health impacts on humans. Their ecological roles in natural environments are more extensively studied.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
Statistics | 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 | 1.5 | 1 | 560 | 0 | 327 | 71 | 26 | 130.6 | 0 | 54 | 0 %ile | 100 %ile | ||
biomesight | 47.4 | 0 | 30 | 10 | 300 | 0 | 1455 | 230.4 | 50 | 624.7 | 0 | 310 | 0 %ile | 90.7 %ile |
thorne | 100 | 6 | 104 | 0 | 90 | 35.3 | 21 | 28.1 | 11 | 101 | 0 %ile | 100 %ile | ||
thryve | 8.84 | 0 | 0 | 1 | 615 | 0 | 217 | 42.1 | 23 | 89.4 | 11 | 45 | 0 %ile | 100 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 12.8 | 38.12 | 0.0013 | 0.0038 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 50.489 % | 0.022 % | 0.057 % | 1446.0 | 2864 |
BiomeSightRdp | 31.25 % | 0.015 % | 0.021 % | 10.0 | 32 |
CerbaLab | 66.667 % | 0.002 % | 0.001 % | 2.0 | 3 |
custom | 20.339 % | 0.001 % | 0.001 % | 12.0 | 59 |
es-xenogene | 51.724 % | 0.006 % | 0.006 % | 15.0 | 29 |
Medivere | 71.429 % | 0.002 % | 0.001 % | 5.0 | 7 |
Thorne | 82.022 % | 0.002 % | 0.002 % | 73.0 | 89 |
Thryve | 8.026 % | 0.004 % | 0.009 % | 111.0 | 1383 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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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.
This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.
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