Desulfuromusa Details: NCBI 37817, gram-negative or unknown [genus]

| Desulfuromusa| Desulfuromusa Liesack and Finster 1994

1. Environmental relevance: Desulfuromusa bacteria play important roles in biogeochemical cycling and nutrient transformations in anaerobic environments. They are involved in processes such as sulfate reduction, iron reduction, and organic matter degradation. In natural ecosystems, Desulfuromusa species contribute to the cycling of sulfur and carbon compounds, influencing nutrient availability, water quality, and ecosystem functioning.

2. Microbiome interactions: While specific interactions with Desulfuromusa bacteria are not extensively studied in the context of the human microbiome, they may play indirect roles in microbial community dynamics and metabolic processes in anaerobic habitats. The human gut microbiota contains diverse microbial species that contribute to host health through various metabolic activities, immune modulation, and other functions. Desulfuromusa bacteria may interact with other gut microbes, although their specific roles and impacts on human health are not well-characterized.

3. Bioremediation potential: Some Desulfuromusa species have been investigated for their potential applications in bioremediation of contaminated environments. These bacteria have the ability to degrade organic pollutants and reduce heavy metals under anaerobic conditions. Bioremediation strategies employing Desulfuromusa bacteria may help mitigate environmental pollution and restore ecosystem health in contaminated sites.

4. Potential pathogens: While Desulfuromusa bacteria are not generally considered human pathogens, their presence in certain environments, such as contaminated water or soil, may pose risks to human health under specific circumstances. In rare cases, exposure to Desulfuromusa species or their metabolic byproducts may contribute to waterborne or soilborne infections, particularly in individuals with compromised immune systems or pre-existing health conditions.

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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 Desulfuromusa

• 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	0.57			6	560	0	500	116.9	30	195.4	6	560	6.7 %ile	86.7 %ile
biomesight	45.1	0	30	10	330	0	1489	238.6	50	638	0	330	0 %ile	90.7 %ile
thryve	0.45			8	50	0	54	19.8	12	17.5	8	50	14.3 %ile	71.4 %ile

External Reference Ranges for Desulfuromusa

Desulfuromusa (NCBI 37817) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age

Statistic by Lab Source for Desulfuromusa

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
BiomeSight	48.196 %	0.022 %	0.058 %	1429.0	2965
BiomeSightRdp	29.032 %	0.016 %	0.022 %	9.0	31
custom	1.639 %	0.003 %	%	1.0	61
Medivere	71.429 %	0.001 %	0.001 %	5.0	7
Thryve	0.431 %	0.006 %	0.01 %	6.0	1391

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