Chromatiaceae Details: NCBI 1046, gram-negative or unknown [family]
| Chromatiaceae| Chromatiaceae Bavendamm 1924 (Approved Lists 1980) emend. Imhoff 1984| Chromatiaceae Bavendamm 1924 (Approved Lists 1980) emend. Sisinthy et al. 2017| purple sulfur bacteria| Thiocapsaceae| Thiocapsaceae Bavendamm 1924
Water quality: In certain environments, such as lakes, ponds, or wastewater treatment systems, the presence of Chromatiaceae bacteria can contribute to the biogeochemical cycling of sulfur compounds and other nutrients. While this is not directly harmful to humans, changes in water quality or nutrient levels in aquatic ecosystems could have indirect effects on human health, such as altered aquatic biodiversity or impacts on drinking water sources.
Sulfur metabolism: Chromatiaceae bacteria play important roles in sulfur metabolism and cycling, which can have implications for the production and transformation of sulfur-containing compounds in aquatic environments. While this is primarily of ecological significance, certain sulfur compounds produced by microbial activity could potentially have toxic effects on humans if present in high concentrations in drinking water or food sources.
Ecological balance: Chromatiaceae bacteria contribute to the microbial communities and food webs in aquatic ecosystems, interacting with other organisms and influencing ecosystem dynamics. Changes in the abundance or activity of Chromatiaceae bacteria, such as due to environmental disturbances or pollution, could have cascading effects on ecosystem health and services, which may indirectly impact human well-being.
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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 Chromatiaceae
- 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 | 1.24 | 6 | 300 | 0 | 232 | 69.6 | 28 | 83.1 | 0 | 209 | 0 %ile | 100 %ile | ||
| biomesight | 76.24 | 0 | 80 | 10 | 130 | 0 | 348 | 92.4 | 60 | 130.2 | 0 | 140 | 0 %ile | 90.8 %ile |
| thorne | 100 | 7 | 184 | 0 | 125 | 48.2 | 35 | 39.3 | 7 | 89 | 0 %ile | 100 %ile | ||
| thryve | 50.45 | 0 | 26 | 12 | 87 | 0 | 1465 | 113.5 | 34 | 689.5 | 8 | 90 | 7 %ile | 89.8 %ile |
| ubiome | 0.25 | 77 | 140 | 21 | 196 | 108.5 | 108 | 44.5 | 77 | 140 | 25 %ile | 50 %ile |
External Reference Ranges for Chromatiaceae
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Thorne (20/80%ile) | 20.66 | 45.47 | 0.0021 | 0.0045 |
Statistic by Lab Source for Chromatiaceae
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 81.677 % | 0.009 % | 0.015 % | 2416.0 | 2958 |
| BiomeSightRdp | 50 % | 0.005 % | 0.005 % | 16.0 | 32 |
| CerbaLab | 66.667 % | 0.002 % | 0.001 % | 2.0 | 3 |
| custom | 4.918 % | 0.001 % | 0 % | 3.0 | 61 |
| es-xenogene | 13.793 % | 0.021 % | 0.006 % | 4.0 | 29 |
| Medivere | 85.714 % | 0.002 % | 0.002 % | 6.0 | 7 |
| SequentiaBiotech | 2.778 % | 0.024 % | % | 1.0 | 36 |
| Thorne | 82.796 % | 0.003 % | 0.003 % | 77.0 | 93 |
| Thryve | 48.592 % | 0.01 % | 0.063 % | 673.0 | 1385 |
| uBiome | 0.253 % | 0.011 % | 0.004 % | 2.0 | 792 |
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