| alpha-3 proteobacteria| Rhodobacter clade| Rhodobacter group| Rhodobacteraceae| Rhodobacteraceae Garrity et al. 2006| Roseobacter group
Bioremediation: Paracoccaceae bacteria, particularly species within the genus Paracoccus, are known for their metabolic versatility and their ability to degrade a wide range of organic compounds. They play important roles in bioremediation processes, where they contribute to the breakdown and detoxification of environmental pollutants, including hydrocarbons, pesticides, and industrial chemicals. While their bioremediation activities have environmental benefits, their direct impact on human health is minimal.
Nitrogen fixation: Some Paracoccus species are nitrogen-fixing bacteria, capable of converting atmospheric nitrogen into ammonia, which can be utilized by plants. These bacteria may form symbiotic relationships with certain plants or contribute to nitrogen cycling in soil ecosystems. While nitrogen fixation is important for plant growth and soil fertility, the direct impact of Paracoccaceae bacteria on human health through this process is indirect and primarily related to food production and agricultural practices.
Potential biotechnological applications: Paracoccaceae bacteria have potential biotechnological applications due to their metabolic capabilities and enzymatic activities. Enzymes produced by Paracoccus species, such as oxidases, dehydrogenases, and hydrolases, have applications in various industrial processes, including wastewater treatment, food processing, and pharmaceutical production. While these applications have economic and industrial benefits, their direct impact on human health is related to product quality and safety rather than direct exposure to the bacteria themselves.
Endosymbiotic relationships: Some Paracoccaceae bacteria may form endosymbiotic relationships with insects or other organisms. These bacteria can play important roles in the nutrition, development, and physiology of their hosts. While the study of endosymbiotic relationships has implications for understanding host-microbe interactions and symbiosis, the direct impact on human health is indirect and primarily related to agricultural and ecological contexts.
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 | 1.06 | 13 | 2000 | 0 | 1519 | 371.2 | 120 | 585.6 | 0 | 719 | 0 %ile | 100 %ile | ||
biomesight | 20.12 | 0 | 10 | 10 | 230 | 0 | 543 | 68.4 | 20 | 241.9 | 20 | 80 | 0 %ile | 96.5 %ile |
thorne | 100 | 67 | 662 | 0 | 564 | 256.7 | 174 | 156.7 | 132 | 592 | 0 %ile | 100 %ile | ||
thryve | 24.55 | 0 | 14 | 15 | 76 | 0 | 451 | 62.5 | 30 | 198.3 | 8 | 90 | 8 %ile | 92 %ile |
ubiome | 0.51 | 21 | 1119 | 0 | 1369 | 303 | 36 | 544 | 21 | 1119 | 16.7 %ile | 66.7 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 6.667 % | 0.03 % | % | 1.0 | 15 |
BiomeSight | 21.067 % | 0.006 % | 0.022 % | 624.0 | 2962 |
BiomeSightRdp | 6.452 % | 0.002 % | 0 % | 2.0 | 31 |
bugspeak | 100 % | 0.042 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0.003 % | 0.001 % | 2.0 | 3 |
CosmosId | 3.125 % | 0.002 % | % | 1.0 | 32 |
custom | 1.639 % | 0.007 % | % | 1.0 | 61 |
es-xenogene | 13.793 % | 0.155 % | 0.046 % | 4.0 | 29 |
Medivere | 100 % | 0.009 % | 0.009 % | 7.0 | 7 |
SequentiaBiotech | 11.111 % | 0.028 % | 0.029 % | 4.0 | 36 |
Thorne | 86.139 % | 0.015 % | 0.013 % | 87.0 | 101 |
Thryve | 23.83 % | 0.007 % | 0.025 % | 331.0 | 1389 |
Tiny | 50 % | 0.006 % | % | 1.0 | 2 |
uBiome | 0.505 % | 0.03 % | 0.054 % | 4.0 | 792 |
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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.
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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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