Caminicella sporogenes Details: NCBI 166485, gram-negative or unknown [species]

| Caminicella sporogenes| Caminicella sporogenes Alain et al. 2002| CIP 107141| DSM 14501| strain AM1114

1. Plant Pathogens:

   • Many Erwinia species are plant pathogens and can cause diseases in a variety of crops, including fruits and vegetables. For example, Erwinia amylovora causes fire blight in apples and pears.

2. Opportunistic Infections in Humans:

   • While Erwinia is not considered a primary human pathogen, there have been rare reports of infections in humans, especially in individuals with compromised immune systems. Infections may occur through contact with contaminated environments, contaminated water, or contaminated plants.

3. Clinical Manifestations:

   • In humans, Erwinia infections may present with a range of symptoms, including skin and soft tissue infections, bacteremia (presence of bacteria in the bloodstream), and other systemic infections.

4. Immunocompromised Individuals:

   • Individuals with weakened immune systems, such as those with certain medical conditions or undergoing immunosuppressive therapies, may be more susceptible to infections caused by opportunistic bacteria, including some Erwinia species.

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 Caminicella sporogenes

• 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	0.04			0	50			50	50		50	50	0 %ile	99 %ile
thryve	62.09	0	129	17	2701	0	5628	602.6	129	2564.2	0	583	6.4 %ile	96.4 %ile

External Reference Ranges for Caminicella sporogenes

Caminicella sporogenes (NCBI 166485) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age
PrecisionBiome	2.568063973740209E-05	0.00011273426935076714	0	0

Statistic by Lab Source for Caminicella sporogenes

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
BiomeSightRdp	3.226 %	0.005 %	%	1.0	31
Thryve	62.929 %	0.091 %	0.406 %	971.0	1543

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