Sphingobacterium shayense Details: NCBI 626343, gram-negative or unknown [species]
| CCTCC AB 209006| NRRL B-59203| Sphingobacterium shayense| Sphingobacterium shayense He et al. 2010 emend. Xiao et al. 2013| Sphingobacterium sp. HS39| strain HS39
Toxin Production: Some cyanobacteria can produce toxins known as cyanotoxins. The presence of these toxins in water bodies, known as harmful algal blooms (HABs), can have adverse effects on human health if the contaminated water is ingested or comes into contact with the skin.
Gastrointestinal Issues: Consumption of water or food contaminated with cyanotoxins can lead to gastrointestinal symptoms such as nausea, vomiting, diarrhea, and abdominal pain.
Hepatotoxicity: Certain cyanotoxins, such as microcystins, can have hepatotoxic effects, potentially leading to liver damage if ingested in significant amounts.
Neurotoxicity: Some cyanotoxins, like anatoxin-a, can have neurotoxic effects, affecting the nervous system and potentially leading to symptoms such as muscle twitching, weakness, and respiratory distress.
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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 Sphingobacterium shayense
- 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 | 0.4 | 20 | 4467 | 0 | 3701 | 783.7 | 130 | 1488.4 | 20 | 4467 | 9.1 %ile | 81.8 %ile | ||
| biomesight | 82.56 | 0 | 970 | 70 | 1540 | 0 | 4617 | 1037.8 | 490 | 1826.3 | 0 | 1790 | 8 %ile | 91 %ile |
| thryve | 0.27 | 11 | 5040 | 0 | 7341 | 1743.7 | 180 | 2856 | 11 | 5040 | 20 %ile | 60 %ile |
External Reference Ranges for Sphingobacterium shayense
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Statistic by Lab Source for Sphingobacterium shayense
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 88.061 % | 0.107 % | 0.18 % | 2611.0 | 2965 |
| BiomeSightRdp | 3.226 % | 0.002 % | % | 1.0 | 31 |
| custom | 1.639 % | 0.006 % | % | 1.0 | 61 |
| Medivere | 100 % | 0.1 % | 0.165 % | 7.0 | 7 |
| Thryve | 0.287 % | 0.157 % | 0.236 % | 4.0 | 1392 |
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