| "Dysgonamonadaceae" Ormerod et al. 2016| Dysgonamonadaceae
Normal Gut Microbiota: Dysgonomonadaceae bacteria are found in the gastrointestinal tract of humans and other animals. Like many bacterial families in the gut, they contribute to the complex microbial community that makes up the normal gut microbiota.
Anaerobic Bacteria: Members of Dysgonomonadaceae are generally anaerobic bacteria, thriving in environments with little to no oxygen. Anaerobic bacteria are common inhabitants of the gut microbiota.
Dietary Fiber Fermentation: Dysgonomonadaceae bacteria, like other gut bacteria, may be involved in the fermentation of dietary fibers. Fermentation can produce short-chain fatty acids (SCFAs), which play roles in gut health and overall metabolic processes.
Limited Information on Health Impacts: While the presence of Dysgonomonadaceae in the gut is recognized, specific information about its impacts on human health, both positive and negative, is not well-documented. The broader understanding of the gut microbiota's influence on health is still an active area of research.
Microbial Interactions: Bacteria within the Dysgonomonadaceae family, as part of the gut microbiota, engage in complex interactions with each other and with the host. These interactions contribute to the overall balance and functionality of the microbiota.
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 | 1.46 | 2 | 8324 | 0 | 4631 | 999.6 | 181 | 1852.6 | 0 | 2035 | 0 %ile | 100 %ile | ||
biomesight | 76.7 | 0 | 150 | 30 | 320 | 0 | 7297 | 766.4 | 100 | 3331.8 | 0 | 360 | 8 %ile | 91.1 %ile |
thorne | 100 | 26 | 1978 | 0 | 1067 | 269 | 129 | 407.1 | 33 | 321 | 0 %ile | 100 %ile | ||
thryve | 64.71 | 0 | 48 | 20 | 288 | 0 | 12194 | 411.7 | 46 | 6011.6 | 6 | 120 | 11.8 %ile | 95.3 %ile |
ubiome | 5.83 | 19 | 15492 | 0 | 8434 | 1491.1 | 174 | 3542.3 | 0 | 1764 | 0 %ile | 100 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 16.38 | 40.24 | 0.0016 | 0.004 |
Nirvana/CosmosId | 22500 | 87600 | 2.25 | 8.76 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 6.667 % | 0.018 % | % | 1.0 | 15 |
BiomeSight | 82.821 % | 0.079 % | 0.394 % | 2372.0 | 2864 |
BiomeSightRdp | 12.5 % | 0.005 % | 0.006 % | 4.0 | 32 |
bugspeak | 100 % | 0.005 % | % | 1.0 | 1 |
CerbaLab | 100 % | 0.06 % | 0.086 % | 3.0 | 3 |
custom | 15.254 % | 0.115 % | 0.226 % | 9.0 | 59 |
es-xenogene | 13.793 % | 0.048 % | 0.02 % | 4.0 | 29 |
Medivere | 100 % | 0.248 % | 0.267 % | 7.0 | 7 |
SequentiaBiotech | 11.111 % | 0.027 % | 0.015 % | 4.0 | 36 |
Thorne | 83.146 % | 0.018 % | 0.035 % | 74.0 | 89 |
Thryve | 66.884 % | 0.034 % | 0.53 % | 925.0 | 1383 |
Tiny | 100 % | 0.001 % | % | 1.0 | 1 |
uBiome | 5.808 % | 0.149 % | 0.354 % | 46.0 | 792 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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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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