| ATCC 27759| Coprococcus eutactus| Coprococcus eutactus Holdeman and Moore 1974
Normal Gut Microbiota: Coprococcus bacteria, including Coprococcus eutactus, are part of the normal gut microbiota in humans. The gut microbiota plays a crucial role in various physiological functions, including digestion, metabolism, and immune system regulation.
Anaerobic Bacteria: Coprococcus species are generally anaerobic bacteria, meaning they thrive in environments with little to no oxygen. Anaerobic bacteria are common inhabitants of the gut microbiota.
Fermentation: Bacteria in the Coprococcus genus are known to be involved in the fermentation of dietary fibers and complex carbohydrates. During fermentation, these bacteria can produce short-chain fatty acids (SCFAs), which may have various health benefits.
SCFA Production: Short-chain fatty acids, such as acetate, propionate, and butyrate, are metabolic byproducts of bacterial fermentation in the gut. SCFAs can contribute to maintaining gut health, influencing immune responses, and providing an energy source for the host.
Associations with Diet: The abundance and composition of Coprococcus and other bacterial genera in the gut microbiota can be influenced by dietary factors. High-fiber diets, for example, are often associated with a more diverse gut microbiota, including the presence of bacteria capable of fermenting dietary fibers.
Limited Specific Information: While Coprococcus is recognized as part of the normal gut microbiota, specific information about the health impacts of Coprococcus eutactus at the species level, including potential associations with health conditions, may not be well-documented.
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 | 1.85 | 1 | 10243 | 0 | 7523 | 1921.9 | 446 | 2857.7 | 0 | 4609 | 0 %ile | 100 %ile | ||
biomesight | 63.79 | 0 | 180 | 10 | 13300 | 0 | 40462 | 7455.3 | 150 | 16840 | 0 | 14630 | 3.1 %ile | 90.9 %ile |
thryve | 86.82 | 0 | 1552 | 32 | 44603 | 0 | 32359 | 4913.9 | 135 | 14002.4 | 0 | 3861 | 11.8 %ile | 97.7 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
XenoGene | 1000 | 7000 | 0.1 | 0.7 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 69.448 % | 0.735 % | 1.627 % | 1989.0 | 2864 |
BiomeSightRdp | 25 % | 0.101 % | 0.275 % | 8.0 | 32 |
bugspeak | 100 % | 0.48 % | % | 1.0 | 1 |
CerbaLab | 100 % | 0.035 % | 0.008 % | 3.0 | 3 |
CosmosId | 43.75 % | 0.154 % | 0.239 % | 14.0 | 32 |
custom | 13.559 % | 0.286 % | 0.403 % | 8.0 | 59 |
es-xenogene | 27.586 % | 0.133 % | 0.15 % | 8.0 | 29 |
Medivere | 14.286 % | 0.001 % | % | 1.0 | 7 |
Microba | 3.571 % | 0.932 % | % | 1.0 | 28 |
SequentiaBiotech | 8.333 % | 0.3 % | 0.205 % | 3.0 | 36 |
Thryve | 87.419 % | 0.467 % | 1.279 % | 1209.0 | 1383 |
Tiny | 100 % | 0.001 % | % | 1.0 | 1 |
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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