| Thermales| Thermales Rainey and da Costa 2002| Thermus group
Extremophile ecology: Thermophiles belonging to the order Thermales are adapted to thrive in extreme conditions of temperature and pH. They are often found in geothermal habitats with temperatures ranging from 50Β°C to over 80Β°C. These bacteria play crucial roles in geochemical cycling and microbial community dynamics in high-temperature environments.
Biotechnological applications: Thermales bacteria produce various enzymes and bioactive compounds that are of interest for biotechnological applications. Their thermostable enzymes, such as polymerases, lipases, proteases, and carbohydrases, have industrial applications in processes such as DNA amplification (e.g., polymerase chain reaction), bioremediation, food processing, and biofuel production.
Potential for drug discovery: Some Thermales bacteria produce secondary metabolites with potential pharmaceutical properties. These bioactive compounds may exhibit antimicrobial, anticancer, antiviral, or antioxidant activities, making them promising candidates for drug discovery and development.
Impact on human health: While most Thermales bacteria are not directly associated with human health, their biotechnological and pharmaceutical potentials indirectly benefit human health through applications in medicine, biotechnology, and industry. However, certain thermophilic bacteria, if introduced into the body through contaminated water or food, may potentially cause opportunistic infections in immunocompromised individuals or those with underlying health conditions.
Ecological balance: In natural ecosystems, thermophilic bacteria within the order Thermales contribute to the cycling of carbon, sulfur, nitrogen, and other elements in geothermal habitats. They participate in processes such as organic matter degradation, sulfate reduction, and sulfur oxidation, influencing ecosystem functioning and biogeochemical cycles.
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 | 0.66 | 5 | 200 | 0 | 141 | 42.2 | 21 | 50.5 | 5 | 200 | 5.9 %ile | 88.2 %ile | ||
biomesight | 32.65 | 0 | 20 | 10 | 50 | 0 | 144 | 37.8 | 20 | 54.1 | 20 | 60 | 0 %ile | 91 %ile |
thorne | 100 | 3 | 81 | 0 | 71 | 28.7 | 22 | 21.4 | 8 | 52 | 0 %ile | 100 %ile | ||
thryve | 6.59 | 0 | 0 | 3 | 225 | 0 | 109 | 34.8 | 24 | 38 | 14 | 46 | 0 %ile | 100 %ile |
ubiome | 0.13 | 0 | 67 | 67 | 67 | 67 | 67 | 0 %ile | 99 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 14.84 | 43.1 | 0.0015 | 0.0043 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 33.554 % | 0.004 % | 0.005 % | 961.0 | 2864 |
BiomeSightRdp | 3.125 % | 0.003 % | % | 1.0 | 32 |
bugspeak | 100 % | 0.005 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0.001 % | 0 % | 2.0 | 3 |
custom | 1.695 % | 0.001 % | % | 1.0 | 59 |
es-xenogene | 17.241 % | 0.009 % | 0.007 % | 5.0 | 29 |
Medivere | 71.429 % | 0.002 % | 0 % | 5.0 | 7 |
Thorne | 82.022 % | 0.002 % | 0.002 % | 73.0 | 89 |
Thryve | 6.435 % | 0.003 % | 0.004 % | 89.0 | 1383 |
uBiome | 0.126 % | 0.007 % | % | 1.0 | 792 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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