Faecalicoccus Details: NCBI 1573536, gram-negative or unknown [genus]
| Faecalicoccus| Faecalicoccus De Maesschalck et al. 2014
Gut Microbiota:
- Faecalicoccus is one of the many bacterial genera that inhabit the human gastrointestinal tract. The gut microbiota plays a crucial role in various aspects of human health, including digestion, nutrient metabolism, and the modulation of the immune system.
Commensal Bacteria:
- Many bacteria in the gut microbiota are considered commensal, meaning they coexist with their human host without causing harm. In fact, they contribute to normal gut function and may have beneficial effects on health.
Functional Roles:
- The specific functions and metabolic activities of Faecalicoccus are not well-documented in the available literature. Understanding the functional roles of specific bacteria within the gut microbiota is an active area of research.
Microbial Diversity:
- The presence of Faecalicoccus is part of the overall microbial diversity in the gut. A diverse and balanced gut microbiota is generally associated with better health outcomes.
Association with Diseases:
- As of my last update, there is limited information linking Faecalicoccus to specific diseases or health conditions. The roles of individual bacterial genera in health and disease are complex and depend on various factors, including the overall composition of the microbiota and interactions with the host.
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Other Sources for more information:
- Immune Epitope Database
- The NCBI taxonomy database
- UniProt
- Immune Epitope Taxonomy Database (IEDB)
- AI Engines For more Details: Perplexity Kagi Labs You
 Statistics
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NCBI | Data Punk | End Products Produced |
Lab Reporting
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.
Desired Levels Suggestions for Faecalicoccus
- Frequency - how often do samples show this bacteria
- UD - An alternative statistical algorithm (which factors in the frequency)
- Kaltoft-Moldrup Heuristic Using uploaded data
- Lab Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
| 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 | 0.49 | 20 | 592 | 0 | 590 | 180.9 | 70 | 209 | 20 | 592 | 7.7 %ile | 84.6 %ile | ||
| thryve | 59.21 | 0 | 81 | 21 | 287 | 0 | 8060 | 387.5 | 90 | 3914.7 | 0 | 346 | 12 %ile | 89.9 %ile |
External Reference Ranges for Faecalicoccus
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Statistic by Lab Source for Faecalicoccus
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSightRdp | 16.129 % | 0.006 % | 0.004 % | 5.0 | 31 |
| CosmosId | 3.125 % | 0.003 % | % | 1.0 | 32 |
| custom | 4.918 % | 0.007 % | 0.008 % | 3.0 | 61 |
| SequentiaBiotech | 8.333 % | 0.049 % | 0.009 % | 3.0 | 36 |
| Thryve | 59.64 % | 0.035 % | 0.349 % | 829.0 | 1390 |
| Tiny | 50 % | 0.003 % | % | 1.0 | 2 |
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Foods Containing the Faecalicoccus bacteria
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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