| alpha-4 proteobacteria| Sphingomonadaceae| Sphingomonadaceae Kosako et al. 2000| Sphingomonas group| Zymomonas group
Environmental interactions: Sphingomonadaceae bacteria play important roles in environmental processes such as biodegradation, bioremediation, and pollutant removal. They are capable of degrading a diverse array of organic compounds, including aromatic hydrocarbons, pesticides, polycyclic aromatic hydrocarbons (PAHs), and industrial chemicals. Their ability to metabolize environmental pollutants can contribute to the detoxification and degradation of contaminants in soil, water, and air, thereby mitigating environmental pollution and promoting ecosystem health.
Pathogenic potential: While most members of the family Sphingomonadaceae are considered non-pathogenic or opportunistic environmental bacteria, there have been rare reports of Sphingomonadaceae species causing infections in humans, particularly in immunocompromised individuals or those with underlying health conditions. Infections associated with Sphingomonadaceae bacteria include bloodstream infections, catheter-associated infections, respiratory infections, and infections associated with medical devices. However, such infections are uncommon, and Sphingomonadaceae bacteria are not typically regarded as major human pathogens.
Biofilm formation: Sphingomonadaceae bacteria have the ability to form biofilms on biotic and abiotic surfaces, including medical devices such as catheters and implants. Biofilm formation can promote bacterial persistence, resistance to antimicrobial agents, and evasion of host immune responses, increasing the risk of device-associated infections. Understanding the mechanisms of biofilm formation by Sphingomonadaceae bacteria may aid in the development of strategies to prevent and treat biofilm-related infections.
Immunomodulatory effects: Some studies suggest that exposure to Sphingomonadaceae bacteria or their components may have immunomodulatory effects on the host immune system. Certain Sphingomonadaceae species produce glycolipid antigens that can activate immune responses, particularly via interactions with specialized immune cells such as natural killer T (NKT) cells. These immunomodulatory effects may have implications for host-microbe interactions, allergic responses, and inflammatory diseases.
Plant-microbe interactions: Sphingomonadaceae bacteria are commonly associated with plants and are known to form symbiotic relationships with plant roots. They can promote plant growth, enhance nutrient uptake, and protect plants from pathogens and environmental stressors. Understanding the interactions between Sphingomonadaceae bacteria and plants may have applications in agriculture, horticulture, and environmental remediation.
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 | 1.9 | 6 | 357833 | 0 | 124268 | 16263.9 | 60 | 55104 | 0 | 31908 | 0 %ile | 100 %ile | ||
biomesight | 35 | 0 | 20 | 10 | 200 | 0 | 482 | 57.4 | 20 | 216.8 | 20 | 60 | 0 %ile | 96.4 %ile |
thorne | 100 | 40 | 580 | 0 | 448 | 178.2 | 122 | 137.9 | 62 | 320 | 0 %ile | 100 %ile | ||
thryve | 52.26 | 0 | 36 | 19 | 119 | 0 | 9175 | 326.2 | 46 | 4514.6 | 2 | 140 | 8 %ile | 89.6 %ile |
ubiome | 2.15 | 17 | 632 | 0 | 515 | 167.8 | 113 | 176.9 | 17 | 632 | 0 %ile | 100 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 57.75 | 138.92 | 0.0058 | 0.0139 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 6.667 % | 35.783 % | % | 1.0 | 15 |
BiomeSight | 37.605 % | 0.005 % | 0.019 % | 1077.0 | 2864 |
BiomeSightRdp | 43.75 % | 0.002 % | 0.002 % | 14.0 | 32 |
bugspeak | 100 % | 0.032 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0.003 % | 0 % | 2.0 | 3 |
custom | 3.39 % | 0.005 % | 0.002 % | 2.0 | 59 |
es-xenogene | 13.793 % | 0.075 % | 0.03 % | 4.0 | 29 |
Medivere | 85.714 % | 0.002 % | 0.002 % | 6.0 | 7 |
SequentiaBiotech | 38.889 % | 2.411 % | 1.446 % | 14.0 | 36 |
Thorne | 85.556 % | 0.01 % | 0.011 % | 77.0 | 90 |
Thryve | 50.47 % | 0.028 % | 0.411 % | 698.0 | 1383 |
Tiny | 100 % | 0.004 % | % | 1.0 | 1 |
uBiome | 2.146 % | 0.017 % | 0.018 % | 17.0 | 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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