| Oscillatoria| Oscillatoria Vaucher ex Gomont 1892| Plaxonema| Plaxonema Tangl 1883
Toxin Production: Some species of Oscillatoria have the potential to produce cyanotoxins. Cyanotoxins are secondary metabolites that can be harmful to humans and animals. Common cyanotoxins associated with cyanobacterial blooms, including Oscillatoria, include microcystins, anatoxins, cylindrospermopsins, and saxitoxins.
Harmful Algal Blooms (HABs): Oscillatoria species can contribute to the formation of harmful algal blooms (HABs) in water bodies. These blooms may occur under certain environmental conditions, such as warm temperatures, increased nutrient levels (eutrophication), and calm water conditions.
Human Health Concerns: Exposure to cyanobacterial toxins through the ingestion, inhalation, or skin contact with contaminated water can pose health risks. The effects can range from mild skin irritation and gastrointestinal symptoms to more severe effects on the liver, nervous system, or other organs, depending on the specific cyanotoxin involved.
Water Quality Concerns: The presence of Oscillatoria and other cyanobacteria in water bodies can be indicative of poor water quality. Elevated nutrient levels, often due to agricultural runoff or other human activities, can contribute to the proliferation of cyanobacteria and the formation of HABs.
Livestock and Wildlife Impact: Cyanobacterial toxins can also affect livestock and wildlife that consume contaminated water. Livestock poisoning incidents have been reported in cases where animals drink water containing high levels of cyanotoxins.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
Statistics | 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 | 0.26 | 11 | 100 | 0 | 130 | 43.7 | 20 | 43.8 | 11 | 100 | 12.5 %ile | 75 %ile | ||
biomesight | 24.6 | 0 | 10 | 10 | 40 | 0 | 100 | 32.4 | 20 | 34.3 | 20 | 60 | 0 %ile | 91.2 %ile |
thorne | 17.24 | 1 | 6 | 0 | 7 | 2.8 | 2 | 2.2 | 1 | 6 | 14.3 %ile | 71.4 %ile | ||
thryve | 0.09 | 0 | 41 | 41 | 41 | 41 | 41 | 0 %ile | 99 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 26.493 % | 0.003 % | 0.003 % | 785.0 | 2963 |
CerbaLab | 66.667 % | 0.001 % | 0 % | 2.0 | 3 |
es-xenogene | 13.793 % | 0.006 % | 0.005 % | 4.0 | 29 |
Thorne | 7.692 % | 0 % | 0 % | 8.0 | 104 |
Thryve | 0.072 % | 0.004 % | % | 1.0 | 1390 |
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And display level must be raised above public.
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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