For the possible significance see Oral bacteria relative abundance in faeces increases due to gut microbiota depletion and is linked with patient outcomes, 2024
| "Actinomyces matruchoti" (Mendel 1919) Nannizzi 1934| "Cladothrix matruchoti" (sic) Mendel 1919| "Oospora matruchoti" (Mendel 1919) Sartory 1930| Actinomyces matruchoti| ATCC 14266| Bacterionema matruchotii| Bacterionema matruchotii (Mendel 1919) Gilmour et al. 1961 (Approved Lists 1980)| CCUG 27545| CCUG 46620| CIP 81.82| Cladothrix matruchoti| Corynebacterium matruchotii| Corynebacterium matruchotii (Mendel 1919) Collins 1983| DSM 20635| IFO 15360| JCM 9386| NBRC 15360| NCTC 10254| Oospora matruchoti
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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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 | 0.09 | 1 | 4 | 0 | 7 | 2.5 | 2 | 2.1 | 1 | 4 | 25 %ile | 50 %ile | ||
biomesight | 1.38 | 10 | 6290 | 0 | 2391 | 265.5 | 30 | 1084.6 | 10 | 170 | 0 %ile | 100 %ile | ||
thorne | 75.86 | 1 | 126 | 0 | 68 | 14.4 | 4 | 27.6 | 0 | 28 | 0 %ile | 100 %ile | ||
thryve | 3.79 | 9 | 334 | 0 | 204 | 54.1 | 29 | 76.3 | 6 | 78 | 0 %ile | 100 %ile | ||
ubiome | 0.25 | 28 | 36 | 21 | 43 | 32 | 32 | 5.7 | 28 | 36 | 25 %ile | 50 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
PrecisionBiome | 1.7462716641603038E-05 | 0.00014012663450557739 | 0 | 0 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 1.139 % | 0.018 % | 0.086 % | 53.0 | 4653 |
CerbaLab | 66.667 % | 0 % | 0 % | 2.0 | 3 |
Thorne | 43.599 % | 0.001 % | 0.001 % | 126.0 | 289 |
Thryve | 5.509 % | 0.004 % | 0.006 % | 85.0 | 1543 |
uBiome | 0.249 % | 0.003 % | 0.001 % | 2.0 | 802 |
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Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.