| Burkholderia/Oxalobacter/Ralstonia group| Burkholderiales| Burkholderiales Garrity et al. 2006
Environmental Roles: Many Burkholderiales species are found in diverse environments, including soil and water. Some members of this order play essential roles in nutrient cycling and can contribute to the degradation of organic matter in the environment.
Plant Interactions: Some Burkholderiales bacteria form associations with plants, acting as plant growth-promoting rhizobacteria (PGPR) or contributing to nitrogen fixation. These interactions can positively impact plant health and growth.
Bioremediation: Certain Burkholderiales bacteria have been studied for their bioremediation capabilities. They can degrade or transform various environmental pollutants, contributing to the cleanup of contaminated sites.
Pathogenicity: While many Burkholderiales bacteria are beneficial or neutral in environmental and agricultural contexts, some members of this order can be opportunistic pathogens. For example, bacteria such as Burkholderia cepacia can cause infections, especially in individuals with compromised immune systems or underlying health conditions. Infections with Burkholderia species can lead to respiratory issues, particularly in individuals with cystic fibrosis.
Antibiotic Production: Some Burkholderiales bacteria are known to produce antibiotics. This can have implications for their interactions with other microorganisms in the environment and may have potential applications in medicine or agriculture.
Nitrogen Cycling: Certain Burkholderiales bacteria are involved in nitrogen cycling processes, including nitrogen fixation. This is important for making nitrogen available to plants and supporting ecosystems.
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 | 7.5 | 0 | 0 | 1 | 27910 | 0 | 96094 | 18850.5 | 6300 | 39409.8 | 0 | 38900 | 0 %ile | 92 %ile |
biomesight | 93.04 | 40 | 33080 | 3120 | 34160 | 0 | 64725 | 21120.8 | 15710 | 22247.1 | 0 | 40140 | 11.2 %ile | 91 %ile |
thorne | 100 | 506 | 4767 | 0 | 3901 | 1630.4 | 1157 | 1158.4 | 521 | 2811 | 0 %ile | 100 %ile | ||
thryve | 98.01 | 84 | 26349 | 468 | 23065 | 0 | 52662 | 13801.8 | 9348 | 19826.6 | 0 | 28411 | 11.4 %ile | 90.7 %ile |
ubiome | 92.78 | 0 | 35730 | 18 | 104164 | 0 | 68497 | 23557.6 | 18880 | 22928.3 | 0 | 45781 | 0 %ile | 99 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 593.06 | 1261.6 | 0.0593 | 0.1262 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 100 % | 4.544 % | 10.125 % | 15.0 | 15 |
BiomeSight | 99.162 % | 2.056 % | 2.163 % | 2839.0 | 2863 |
BiomeSightRdp | 100 % | 0.138 % | 0.387 % | 32.0 | 32 |
bugspeak | 100 % | 0.299 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0 % | 0 % | 2.0 | 3 |
CosmosId | 87.5 % | 0.961 % | 0.983 % | 28.0 | 32 |
custom | 44.068 % | 0.883 % | 1.175 % | 26.0 | 59 |
es-xenogene | 75.862 % | 0.109 % | 0.237 % | 22.0 | 29 |
GanzimmunDiag | 100 % | 0.018 % | 0 % | 3.0 | 3 |
Medivere | 100 % | 10.523 % | 5.014 % | 7.0 | 7 |
Microba | 78.571 % | 0.888 % | 0.594 % | 22.0 | 28 |
Microba1 | 100 % | 0.45 % | % | 1.0 | 1 |
SequentiaBiotech | 100 % | 2.817 % | 1.812 % | 36.0 | 36 |
Thorne | 85.227 % | 0.103 % | 0.095 % | 75.0 | 88 |
Thryve | 97.614 % | 1.285 % | 1.835 % | 1350.0 | 1383 |
Tiny | 100 % | 0.019 % | % | 1.0 | 1 |
uBiome | 92.424 % | 2.353 % | 2.294 % | 732.0 | 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.
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