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.

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Statistics 3064 Interactions with Other Bacteria 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

Using Kaltoft-Moldrup Heuristic Using uploaded data for Piscirickettsiaceae

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)
LabKM LowKM Percentile LowKM HighKM Percentile HighLab LowLab HighMean MedianStandard DeviationBox Plot LowBox Plot High
* 10 6.9 %ile 130 96.4 %ile 0 266 42.3 20 113.9 10 60
biomesight 10 0 %ile 450 100 %ile 0 91 26.4 20 32.9 0 40
thryve 1 0 %ile 217 96.9 %ile 0 372 58.4 29 160.1 9 69
ubiome 26 0 %ile 220 100 %ile 0 392 123 123 137.2 26 220
Lab Suggestions for Piscirickettsiaceae
Piscirickettsiaceae (NCBI 135616) per million
Low Boundary High Boundary Low Boundary %age High Boundary %age Lab Samples
3.94 8.42 0.0004 0.0008 Thorne (20/80%ile)
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 5.556 %   0.017 %  % 1.0 18
BiomeSight 13.121 %   0.003 %  0.003 % 362.0 2759
CerbaLab 66.667 %   0.001 %  0 % 2.0 3
custom 5 %   0.001 %  0 % 3.0 60
es-xenogene 13.793 %   0.01 %  0.007 % 4.0 29
Thorne 90.411 %   0.002 %  0.004 % 66.0 73
Thryve 28.965 %   0.006 %  0.015 % 400.0 1381
uBiome 0.253 %   0.012 %  0.014 % 2.0 791

Symptoms Associated with Piscirickettsiaceae From Citizen Science Studies

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Mathematically modelled modifiers

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Data Contradictions β€” Limits of Certainity

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