| 'Ralstoniaceae'| Burkholderia group| Burkholderiaceae| Burkholderiaceae Garrity et al. 2006| Ralstonia group| Ralstoniaceae
Plant Interactions: Some bacteria within the Burkholderiaceae family are known for their interactions with plants, including both pathogenic and beneficial relationships. Burkholderia species, for example, can have diverse effects on plants, ranging from pathogenicity to plant growth promotion.
Environmental Presence: Members of Burkholderiaceae can be found in various environments, including soil and water. They play roles in nutrient cycling and have been studied for their adaptability to diverse ecological niches.
Pathogenicity in Humans: While many Burkholderiaceae species are associated with environmental and plant-related interactions, certain species within the Burkholderia genus can be pathogenic to humans. Burkholderia pseudomallei, for instance, is known to cause melioidosis, a potentially severe infectious disease in humans.
Cystic Fibrosis Infections: Some Burkholderia species, such as Burkholderia cepacia complex (BCC), have been associated with infections in individuals with cystic fibrosis. BCC infections can be challenging to treat and may lead to worsened respiratory symptoms.
Biotechnological Applications: Certain Burkholderiaceae bacteria have been studied for their potential biotechnological applications. Some produce secondary metabolites with antimicrobial properties or enzymes with industrial significance.
Environmental Adaptability: Burkholderiaceae bacteria are known for their adaptability to different environmental conditions, and this adaptability may contribute to their diverse ecological roles.
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 | 2.69 | 0 | 0 | 1 | 59313 | 0 | 25249 | 4466.5 | 300 | 10603.1 | 0 | 3700 | 0 %ile | 100 %ile |
biomesight | 82.73 | 0 | 180 | 10 | 420 | 0 | 1293 | 271.6 | 70 | 521.1 | 0 | 450 | 0 %ile | 91.1 %ile |
thorne | 100 | 155 | 3217 | 0 | 1555 | 444.1 | 273 | 566.8 | 143 | 667 | 0 %ile | 100 %ile | ||
thryve | 30.96 | 0 | 17 | 15 | 81 | 0 | 4303 | 249 | 32 | 2068.6 | 8 | 98 | 8 %ile | 89.4 %ile |
ubiome | 3.42 | 21 | 168 | 0 | 146 | 62.8 | 45 | 42.3 | 11 | 131 | 0 %ile | 100 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 147.68 | 282.28 | 0.0148 | 0.0282 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 20 % | 0.018 % | 0.014 % | 3.0 | 15 |
BiomeSight | 88.648 % | 0.027 % | 0.059 % | 2538.0 | 2863 |
BiomeSightRdp | 81.25 % | 0.232 % | 0.624 % | 26.0 | 32 |
bugspeak | 100 % | 0.053 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0.004 % | 0.002 % | 2.0 | 3 |
custom | 10.169 % | 0.015 % | 0.033 % | 6.0 | 59 |
es-xenogene | 13.793 % | 0.215 % | 0.099 % | 4.0 | 29 |
Medivere | 100 % | 1.049 % | 2.162 % | 7.0 | 7 |
Microba | 3.571 % | 0.152 % | % | 1.0 | 28 |
SequentiaBiotech | 47.222 % | 0.97 % | 1.223 % | 17.0 | 36 |
Thorne | 85.227 % | 0.029 % | 0.038 % | 75.0 | 88 |
Thryve | 31.67 % | 0.021 % | 0.183 % | 438.0 | 1383 |
Tiny | 100 % | 0.014 % | % | 1.0 | 1 |
uBiome | 3.409 % | 0.006 % | 0.004 % | 27.0 | 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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