Piscirickettsiaceae Details: NCBI 135616, gram-negative or unknown [family]

| Piscirickettsia group| Piscirickettsiaceae| Piscirickettsiaceae Fryer and Lannan 2005

1. Fish Pathogens:

   • Piscirickettsiaceae bacteria are primarily known for their association with diseases in fish. The best-known genus within this family is Piscirickettsia, and species like Piscirickettsia salmonis have been associated with diseases in salmonids.

2. Piscirickettsiosis:

   • Piscirickettsiosis is a disease in fish caused by bacteria within the family Piscirickettsiaceae. The disease affects various species of farmed and wild fish, including salmon and trout. It can lead to significant economic losses in aquaculture.

3. Clinical Signs in Fish:

   • In affected fish, piscirickettsiosis can manifest with clinical signs such as hemorrhages, skin lesions, inflammation, and necrosis of internal organs. Mortality rates can vary, and the severity of the disease may depend on various factors, including fish species and environmental conditions.

4. Impact on Aquaculture:

   • Piscirickettsiaceae-related diseases can have notable impacts on aquaculture operations, affecting the health and productivity of fish populations. Control measures, including vaccination and management practices, may be implemented to mitigate the spread of these pathogens.

5. Zoonotic Potential:

   • While Piscirickettsiaceae bacteria are primarily known as fish pathogens, their zoonotic potential (the ability to cause disease in humans) is generally considered low. The main concern is the impact on fish health and the aquaculture industry.

Visuals of Interactions with other bacteria of the same rank

A lot more information is available when you are logged in and raise the display level

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 Piscirickettsiaceae

• 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	0.49			3	200	0	193	57.8	32	68.9	3	200	7.7 %ile	84.6 %ile
biomesight	11.86	0		10	100	0	57	23.8	20	16.9	0	40	0 %ile	100 %ile
thorne	100			2	201	0	131	37.1	15	47.9	7	63	0 %ile	100 %ile
thryve	30.32	0	17	1	217	0	368	57.5	28	158.2	8	66	0 %ile	97 %ile
ubiome	0.25			26	220	0	392	123	123	137.2	26	220	25 %ile	50 %ile

External Reference Ranges for Piscirickettsiaceae

Piscirickettsiaceae (NCBI 135616) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age
Thorne (20/80%ile)	3.94	8.42	0.0004	0.0008

Statistic by Lab Source for Piscirickettsiaceae

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
AmericanGut	6.667 %	0.017 %	%	1.0	15
BiomeSight	14.541 %	0.003 %	0.003 %	528.0	3631
CerbaLab	66.667 %	0.001 %	0 %	2.0	3
custom	4.348 %	0.001 %	0 %	3.0	69
es-xenogene	16.667 %	0.008 %	0.008 %	5.0	30
Thorne	88.587 %	0.002 %	0.002 %	163.0	184
Thryve	30.274 %	0.006 %	0.016 %	442.0	1460
uBiome	0.253 %	0.012 %	0.014 %	2.0	789
vitract	50 %	0.003 %	%	1.0	2

To see medical conditions associated you may be logged in

And display level must be raised above public.

I would like to know what can change the quality that I have

• If I want to know that a substance also changes, then I just click on it
• If I want to know which study this information comes from, then I just clink in increases or decreases

Data Contradictions — Limits of Certainity

To get the list of studies, you must be logged in and raise your display level.

🧙? Search Hints:

General Substance	Specific Substance	Effect
Diet Style	dietary fiber	1 Studies recorded. The consensus is Increases📓, Click for details.
Diet Style	Fiber, total dietary	1 Studies recorded. The consensus is Increases📓, Click for details.
Diet Style	High-fibre diet {Whole food diet}	1 Studies recorded. The consensus is Increases📓, Click for details.
Diet Style	Slow digestible carbohydrates. {Low Glycemic}	1 Studies recorded. The consensus is Increases📓, Click for details.
Food (excluding seasonings)	blueberry	1 Studies recorded. The consensus is Increases📓, Click for details.
Food (excluding seasonings)	fruit	1 Studies recorded. The consensus is Increases📓, Click for details.
Food (excluding seasonings)	fruit/legume fibre	1 Studies recorded. The consensus is Increases📓, Click for details.