| "Archaea" Woese et al. 1990| "Archaebacteria" (sic) Woese and Fox 1977| Archaea| Archaebacteria| Mendosicutes| Metabacteria| Monera| Procaryotae| Prokaryota| Prokaryotae| prokaryote| prokaryotes
Extreme environments: Archaea are known for their ability to thrive in extreme environments where other organisms would struggle to survive. Some Archaea are extremophiles, capable of surviving in conditions of high temperature, extreme pH levels, high salinity, or high pressure. While these extreme environments may not directly impact human health, studying extremophilic Archaea can provide insights into the limits of life and the potential for life on other planets.
Gut microbiota: While Bacteria dominate the gut microbiota, Archaea are also present in the human gut, albeit in much smaller numbers. Methanogens, a group of Archaea capable of producing methane as a metabolic byproduct, are found in the human digestive system. They interact with other microorganisms and contribute to the fermentation process in the gut. Although their role in the gut microbiota is not fully understood, they may indirectly influence human health through their interactions with other microbes and their metabolic activities.
Biotechnological applications: Some Archaea have biotechnological applications, particularly in the fields of bioremediation and biofuel production. For example, certain Archaea are capable of metabolizing hydrocarbons and may be used to clean up oil spills or degrade pollutants in contaminated environments. Others produce enzymes with industrial applications, such as extremozymes that function under extreme conditions of temperature or pH.
Disease association: While Archaea are not typically considered human pathogens, some studies have suggested associations between Archaea and certain diseases. For example, Methanobrevibacter smithii, a methanogen found in the human gut, has been implicated in conditions such as obesity and inflammatory bowel disease (IBD). However, the exact role of Archaea in these diseases and whether they contribute directly to pathology or are simply markers of dysbiosis (imbalance in the gut microbiota) is still under investigation.
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 | 4.15 | 0 | 0 | 1 | 1000000 | 0 | 262499 | 29471.1 | 924 | 118891.9 | 0 | 31476 | 0 %ile | 100 %ile |
biomesight | 26.07 | 0 | 20 | 20 | 8730 | 0 | 10767 | 1423.2 | 285 | 4767.1 | 0 | 1830 | 8 %ile | 97.1 %ile |
thorne | 17.24 | 1 | 4 | 0 | 5 | 2.4 | 2 | 1.1 | 1 | 4 | 14.3 %ile | 71.4 %ile | ||
thryve | 23.74 | 0 | 18 | 1 | 5585 | 0 | 17307 | 3512.3 | 738 | 7038.4 | 0 | 6078 | 0 %ile | 92 %ile |
ubiome | 28.9 | 0 | 585 | 21 | 109569 | 0 | 52866 | 14698.1 | 7116 | 19473.7 | 0 | 32163 | 0 %ile | 100 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 60 % | 0.107 % | 0.199 % | 9.0 | 15 |
BiomeSight | 27.025 % | 0.125 % | 0.433 % | 774.0 | 2864 |
BiomeSightRdp | 53.125 % | 0.054 % | 0.194 % | 17.0 | 32 |
bugspeak | 100 % | 0.02 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0 % | 0 % | 2.0 | 3 |
CosmosId | 9.375 % | 0.888 % | 1.035 % | 3.0 | 32 |
custom | 54.237 % | 0.815 % | 0.854 % | 32.0 | 59 |
es-xenogene | 72.414 % | 7.395 % | 24.217 % | 21.0 | 29 |
GanzimmunDiag | 100 % | 0.021 % | 0 % | 3.0 | 3 |
Medivere | 100 % | 0.946 % | 1.934 % | 7.0 | 7 |
Microba | 14.286 % | 0.655 % | 0.71 % | 4.0 | 28 |
Microba1 | 100 % | 2.67 % | % | 1.0 | 1 |
SequentiaBiotech | 52.778 % | 4.894 % | 5.597 % | 19.0 | 36 |
Thorne | 9.091 % | 0.101 % | 0.283 % | 8.0 | 88 |
Thryve | 22.993 % | 0.334 % | 0.701 % | 318.0 | 1383 |
Tiny | 100 % | 0.006 % | % | 1.0 | 1 |
uBiome | 28.914 % | 1.479 % | 1.948 % | 229.0 | 792 |
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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