| Chroococcales| Chroococcales Schaffner 1922| Chroococcales Wettstein1924 emend. Rippka et al. 1979
Harmful algal blooms (HABs): Some species of Chroococcales cyanobacteria can form harmful algal blooms (HABs) in freshwater and marine environments, particularly in nutrient-rich waters with warm temperatures and calm conditions. These blooms can produce toxins known as cyanotoxins, including microcystins, cylindrospermopsin, and anatoxins, which can pose risks to human and animal health.
Cyanotoxin production: Cyanotoxins produced by Chroococcales cyanobacteria can have various health effects on humans and animals, depending on the toxin type, concentration, and exposure route. These effects may include gastrointestinal symptoms (nausea, vomiting, diarrhea), skin irritation, respiratory problems (coughing, wheezing), liver damage, neurotoxic effects (seizures, paralysis), and allergic reactions. Chronic exposure to cyanotoxins has been associated with long-term health effects such as liver cancer and neurodegenerative diseases.
Drinking water contamination: Chroococcales cyanobacterial blooms in surface waters can contaminate drinking water sources, posing risks to public health. Cyanotoxins can persist in water supplies even after treatment, and exposure to contaminated drinking water can cause acute and chronic health effects in humans. Monitoring and management of cyanobacterial blooms in drinking water sources are essential for ensuring safe drinking water quality.
Livestock and wildlife toxicity: Cyanotoxins produced by Chroococcales cyanobacteria can also affect animals, including livestock, pets, fish, and wildlife, through ingestion of contaminated water or algae. Livestock poisoning from cyanobacterial toxins, known as cyanotoxicosis, can lead to illness or death in animals. Wildlife mortality events linked to cyanobacterial blooms have been reported in various ecosystems, affecting aquatic and terrestrial species.
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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 | 0.66 | 1 | 1873 | 0 | 1103 | 172.6 | 21 | 474.5 | 1 | 1873 | 5.9 %ile | 88.2 %ile | ||
biomesight | 62.66 | 0 | 60 | 10 | 1350 | 0 | 7476 | 387.6 | 60 | 3616.6 | 0 | 260 | 3.7 %ile | 97.2 %ile |
thorne | 100 | 3 | 52 | 0 | 42 | 15.2 | 9 | 13.7 | 1 | 33 | 0 %ile | 100 %ile | ||
thryve | 4.51 | 0 | 0 | 2 | 140 | 0 | 68 | 25 | 18 | 21.9 | 10 | 36 | 0 %ile | 100 %ile |
ubiome | 0.13 | 0 | 34 | 34 | 34 | 34 | 34 | 0 %ile | 99 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
PrecisionBiome | 1.650888953008689E-05 | 8.393017924390733E-05 | 0 | 0 |
Thorne (20/80%ile) | 3.75 | 8.84 | 0.0004 | 0.0009 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 69.279 % | 0.045 % | 0.394 % | 3227.0 | 4658 |
bugspeak | 100 % | 0.005 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0.001 % | 0 % | 2.0 | 3 |
custom | 3.947 % | 0.001 % | 0 % | 3.0 | 76 |
es-xenogene | 9.375 % | 0.011 % | 0.012 % | 3.0 | 32 |
Medivere | 62.5 % | 0.006 % | 0.004 % | 5.0 | 8 |
Thorne | 90.034 % | 0.001 % | 0.001 % | 262.0 | 291 |
Thryve | 4.666 % | 0.003 % | 0.002 % | 72.0 | 1543 |
uBiome | 0.125 % | 0.003 % | % | 1.0 | 802 |
vitract | 100 % | 0.094 % | 0.132 % | 2.0 | 2 |
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