Stella Details: NCBI 93, gram-negative or unknown [genus]

| Stella| Stella Vasilyeva 1985

1. Environmental Health: Leptothrix discophora, like other Leptothrix species, plays roles in aquatic ecosystems, where it contributes to the cycling of nutrients and the degradation of organic matter. It is often found in biofilms on surfaces in freshwater environments, where it participates in the breakdown of organic materials.

2. Water Quality: In some cases, Leptothrix discophora can contribute to the formation of iron or manganese deposits in water distribution systems. While these deposits are generally considered harmless, they can affect water quality and may lead to aesthetic issues such as discoloration or staining of plumbing fixtures.

3. Potential Biotechnological Applications: Some species of Leptothrix, including Leptothrix discophora, have been studied for their potential biotechnological applications, particularly in the context of bioremediation. They may have the ability to metabolize various organic pollutants or participate in the removal of metals from contaminated environments.

Visuals of Interactions with other bacteria of the same rank

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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 

More Information

Statistics

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 Stella

• 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

These are values that are computed from lab specific samples (Patent Pending)

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	0.13			5	20	0	27	11	8	7.9	5	20	20 %ile	60 %ile
thorne	93.1			1	22	0	19	8	6	5.8	2	16	0 %ile	100 %ile
thryve	19.58	0	11	1	445	0	136	38.4	25	49.8	7	51	0 %ile	100 %ile

External Reference Ranges for Stella

Stella (NCBI 93) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age
PrecisionBiome	1.2658764717343729E-05	1.2658764717343729E-05	0	0

Statistic by Lab Source for Stella

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
BiomeSightRdp	3.226 %	0.002 %	%	1.0	31
CerbaLab	66.667 %	0.001 %	0 %	2.0	3
Thorne	67.474 %	0 %	0 %	195.0	289
Thryve	18.924 %	0.004 %	0.005 %	292.0	1543

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Foods Containing the Stella bacteria

Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.

Ham fermented for 4 years Weight: 0.007674