Parapedobacter Details: NCBI 416949, gram-negative or unknown [genus]
| Parapedobacter| Parapedobacter Kim et al. 2007 emend. Zhao et al. 2013
Environmental Bacteria:
- Parapedobacter species are commonly found in environmental samples, particularly in soil and water. They participate in microbial communities in these habitats, playing roles in nutrient cycling and ecological processes.
Limited Pathogenicity:
- Generally, bacteria in the genus Parapedobacter are not known for causing diseases in humans. They are considered environmental bacteria with limited associations with human health.
Taxonomic Classification:
- The taxonomic classification and characterization of bacteria, including those in the genus Parapedobacter, are continually evolving with advances in microbiology and molecular techniques. The available information may be limited due to the relatively recent discovery and study of some bacterial genera.
Research Gaps:
- Because Parapedobacter is not extensively studied compared to more well-known bacterial genera, there may be gaps in our understanding of its biology, ecology, and potential interactions with other organisms.
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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 Parapedobacter
- 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 | 0.04 | 0 | 6 | 6 | 6 | 6 | 6 | 0 %ile | 99 %ile | |||||
| biomesight | 28.63 | 0 | 10 | 10 | 60 | 0 | 619 | 61.4 | 20 | 284.4 | 20 | 60 | 0 %ile | 89.9 %ile |
| thryve | 2.08 | 1 | 108 | 0 | 68 | 25 | 20 | 21.9 | 2 | 36 | 0 %ile | 100 %ile |
External Reference Ranges for Parapedobacter
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Statistic by Lab Source for Parapedobacter
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 31.837 % | 0.007 % | 0.031 % | 943.0 | 2962 |
| Medivere | 14.286 % | 0.001 % | % | 1.0 | 7 |
| Thryve | 1.727 % | 0.002 % | 0.002 % | 24.0 | 1390 |
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Foods Containing the Parapedobacter 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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