Oscillatoriales Details: NCBI 1150, gram-negative or unknown [order]
| Oscillatoriales| Oscillatoriales Elenkin 1934
Toxin Production: Some cyanobacteria within the order Oscillatoriales, as well as in other orders, have the potential to produce toxins known as cyanotoxins. These toxins include microcystins, anatoxins, cylindrospermopsins, and saxitoxins. Exposure to these toxins, usually through the ingestion or contact with water contaminated by cyanobacterial blooms, can be harmful to humans and animals.
Harmful Algal Blooms (HABs): Cyanobacteria, including Oscillatoriales, can form dense populations or blooms in aquatic environments, known as harmful algal blooms (HABs). These blooms can have detrimental effects on water quality and can produce toxins that pose health risks to humans, animals, and aquatic ecosystems.
Health Effects: Exposure to cyanotoxins can lead to various health effects, including gastrointestinal symptoms, skin irritation, respiratory issues, and, in more severe cases, liver and nervous system damage. The specific health impacts depend on the type and concentration of toxins, as well as the route of exposure.
Monitoring and Prevention: Monitoring and management of water bodies are crucial for preventing and mitigating the impact of harmful algal blooms. Public health agencies and environmental organizations often conduct monitoring programs to assess water quality and the presence of cyanotoxins.
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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 Oscillatoriales
- 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 | 0.62 | 6 | 3510 | 0 | 2217 | 409.6 | 45 | 922.2 | 6 | 3510 | 6.3 %ile | 87.5 %ile | ||
| biomesight | 45.85 | 0 | 20 | 20 | 90 | 0 | 296 | 62.6 | 30 | 119 | 10 | 90 | 8 %ile | 90.6 %ile |
| thorne | 100 | 5 | 50 | 0 | 45 | 19.1 | 14 | 13.2 | 6 | 46 | 0 %ile | 100 %ile | ||
| thryve | 57.67 | 0 | 67 | 23 | 470 | 0 | 6012 | 560 | 84 | 2781.7 | 0 | 548 | 11.5 %ile | 89.9 %ile |
| ubiome | 2.03 | 28 | 5463 | 0 | 3215 | 559.9 | 100 | 1354.4 | 28 | 5463 | 0 %ile | 100 %ile |
External Reference Ranges for Oscillatoriales
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Thorne (20/80%ile) | 8.32 | 18.34 | 0.0008 | 0.0018 |
Statistic by Lab Source for Oscillatoriales
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 48.971 % | 0.006 % | 0.011 % | 1451.0 | 2963 |
| BiomeSightRdp | 12.903 % | 0.002 % | 0.001 % | 4.0 | 31 |
| bugspeak | 100 % | 0.005 % | % | 1.0 | 1 |
| CerbaLab | 66.667 % | 0.003 % | 0 % | 2.0 | 3 |
| custom | 1.639 % | 0.001 % | % | 1.0 | 61 |
| es-xenogene | 17.241 % | 0.04 % | 0.026 % | 5.0 | 29 |
| Microba | 3.571 % | 0.351 % | % | 1.0 | 28 |
| Thorne | 84.615 % | 0.001 % | 0.001 % | 88.0 | 104 |
| Thryve | 56.619 % | 0.051 % | 0.241 % | 787.0 | 1390 |
| uBiome | 1.894 % | 0.06 % | 0.139 % | 15.0 | 792 |
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