| ATCC 27763| ATCC 35681 [[Paenibacillus azotofixans]]| Bacillus azotifixans| Bacillus azotofixans| Bacillus azotofixans Seldin et al. 1984| bacterium ISSDS-862| CIP 104586 [[Paenibacillus azotofixans]]| Clostridium durum| Clostridium durum Smith and Cato 1974 (Approved Lists 1980)| DSM 1735| DSM 5976 [[Paenibacillus azotofixans]]| LMG 14658 [[Paenibacillus azotofixans]]| LMG:14658 [[Paenibacillus azotofixans]]| Paenibacillus azotofixans| Paenibacillus azotofixans (Seldin et al. 1984) Ash et al. 1994| Paenibacillus durum| Paenibacillus durus| Paenibacillus durus corrig. (Smith and Cato 1974) Collins et al. 1994| strain P3L-5 [[Paenibacillus azotofixans]]| VPI 6563
Allergies: Algae from the Mamiellaceae family may release spores or other airborne particles that could trigger allergic reactions in sensitive individuals. These reactions could manifest as respiratory issues such as asthma or allergic rhinitis.
Toxins: Some species of algae, including those in the Mamiellaceae family, are capable of producing toxins under certain conditions. These toxins can contaminate water sources and lead to harmful algal blooms. Ingestion or exposure to these toxins through contaminated water or seafood can cause various health problems, including gastrointestinal issues, neurological symptoms, or even liver damage in severe cases.
Water Quality: Large-scale blooms of algae from the Mamiellaceae family can degrade water quality by depleting oxygen levels and releasing organic matter as they die off. This degradation can harm aquatic ecosystems and impact human activities such as fishing, recreation, and water supply.
Environmental Impact: Algal blooms, including those caused by Mamiellaceae species, can have broader environmental impacts beyond human health. They can disrupt the balance of aquatic ecosystems, harm fish and other aquatic organisms, and negatively affect water quality, which can have cascading effects throughout the ecosystem.
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Other Sources for more information:
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NCBI | Data Punk | End Products Produced |
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.
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 | 0.18 | 3 | 10 | 1 | 12 | 6.5 | 6 | 2.9 | 3 | 10 | 16.7 %ile | 66.7 %ile | ||
thorne | 93.1 | 2 | 35 | 0 | 30 | 12.5 | 11 | 8.8 | 0 | 23 | 0 %ile | 100 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
PrecisionBiome | 1.930707185238134E-05 | 3.464855399215594E-05 | 0 | 0 |
Thorne (20/80%ile) | 6.25 | 14.54 | 0.0006 | 0.0015 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
CerbaLab | 66.667 % | 0.001 % | 0 % | 2.0 | 3 |
custom | 1.316 % | 0 % | % | 1.0 | 76 |
es-xenogene | 3.125 % | 0.001 % | % | 1.0 | 32 |
Thorne | 79.585 % | 0.001 % | 0.001 % | 230.0 | 289 |
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