Symbiobacterium Details: NCBI 2733, gram-negative or unknown [genus]

| Symbiobacterium| Symbiobacterium Ohno et al. 2000 emend. Shiratori-Takano et al. 2014

1. Symbiosis with termites: Symbiobacterium species have been found to live in symbiosis with wood-feeding termites, where they likely play a role in the degradation of lignocellulose, the complex carbohydrate found in wood. This symbiotic relationship enables termites to digest and obtain nutrients from wood, which constitutes their primary food source. While this relationship is beneficial for the termites, the specific impacts of Symbiobacterium on termite health are not well understood.

2. Potential for lignocellulose degradation: Symbiobacterium species are thought to contribute to lignocellulose degradation within the termite gut ecosystem. By breaking down complex carbohydrates present in wood, Symbiobacterium may release nutrients that are otherwise inaccessible to the termite host. This process is essential for the mutualistic relationship between termites and their gut microbiota and has implications for the ecology of wood-feeding insects and nutrient cycling in forest ecosystems.

3. Limited association with human health: While Symbiobacterium species have been detected in certain soil environments and agricultural settings, their association with human health is not well-established. These bacteria are not typically considered human pathogens, and there is limited research on their potential impacts on human health or disease. Given their presence in natural environments, further studies are needed to investigate the ecological roles and potential interactions of Symbiobacterium with human-associated microbiota.

4. Biotechnological potential: Symbiobacterium species have attracted interest in biotechnological applications, particularly in the context of lignocellulose degradation and biofuel production. Their ability to metabolize complex carbohydrates could be harnessed for the development of enzymatic processes for biomass conversion and bioenergy production. Research on Symbiobacterium and related bacteria may contribute to the development of sustainable biorefinery technologies and the utilization of renewable feedstocks for industrial purposes.

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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 Symbiobacterium

• 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	0.4			2	100	0	93	33.3	30	30.7	2	100	9.1 %ile	81.8 %ile
biomesight	59.01	0	40	10	140	0	644	112.5	50	271.1	0	150	0 %ile	90.8 %ile
thorne	100			2	55	0	41	16	12	12.7	6	24	0 %ile	100 %ile
thryve	1.81			9	110	0	66	23.5	18	21.5	9	27	0 %ile	100 %ile

External Reference Ranges for Symbiobacterium

Symbiobacterium (NCBI 2733) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age
Thorne (20/80%ile)	5.56	23.93	0.0006	0.0024

Statistic by Lab Source for Symbiobacterium

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
Biomesight	63.664 %	0.011 %	0.024 %	1887.0	2964
BiomeSightRdp	3.226 %	0.002 %	%	1.0	31
CerbaLab	66.667 %	0.001 %	0 %	2.0	3
custom	4.918 %	0.003 %	0.003 %	3.0	61
es-xenogene	10.345 %	0.006 %	0.003 %	3.0	29
Thorne	73.077 %	0.001 %	0.001 %	76.0	104
Thryve	1.583 %	0.002 %	0.002 %	22.0	1390

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Data Contradictions — Limits of Certainity

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General Substance	Specific Substance	Effect
Sugar and similar	saccharin	1 Studies recorded. The consensus is Increases📓, Click for details.

Foods Containing the Symbiobacterium 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.

Sausage, Cyprus: Limassol Weight: 0.003328 Sausage, Cyprus: Paphos Weight: 0.000952834683182467

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