| "Sapromyces" Sabin 1941| Acholeplasma| Acholeplasma Edward and Freundt 1970| Sapromyces
Animal infections: Acholeplasma species are known to cause infections in animals, particularly in poultry, where they have been associated with respiratory diseases, such as infectious sinusitis and airsacculitis. Infections in animals can lead to reduced productivity and economic losses in agricultural settings.
Plant diseases: Some Acholeplasma species have been implicated in plant diseases, such as witches' broom disease in coconut palms and lethal yellowing disease in palm trees. These diseases can have significant impacts on agricultural production and the economy in affected regions.
Limited human relevance: While Acholeplasma species have been isolated from human clinical specimens, their role in human health and disease is not well-established. They are generally considered to be commensal bacteria in humans, meaning they can inhabit various mucosal surfaces without causing disease. However, in rare cases, Acholeplasma species have been reported as opportunistic pathogens, particularly in immunocompromised individuals or those with underlying health conditions.
Antibiotic resistance: Like other members of the class Mollicutes, Acholeplasma species are inherently resistant to many antibiotics that target cell wall synthesis. This can pose challenges for the treatment of infections caused by Acholeplasma species, particularly if they are involved in mixed infections with other bacteria.
Research gaps: Despite their potential significance in animal and plant health, Acholeplasma species remain relatively understudied compared to other bacterial groups. Further research is needed to elucidate their epidemiology, pathogenesis, and potential impacts on human and animal health.
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Other Sources for more information:
Statistics | NCBI | Data Punk | End Products Produced |
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.
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 | 0.66 | 6 | 4582 | 0 | 2670 | 387.9 | 40 | 1164.3 | 6 | 4582 | 5.9 %ile | 88.2 %ile | ||
biomesight | 65.72 | 0 | 90 | 10 | 1190 | 0 | 8347 | 1210.9 | 70 | 3640.9 | 0 | 1070 | 0 %ile | 90.8 %ile |
thorne | 100 | 3 | 64 | 0 | 52 | 18.6 | 11 | 16.9 | 3 | 39 | 0 %ile | 100 %ile | ||
thryve | 67.87 | 0 | 67 | 17 | 444 | 0 | 5353 | 728.6 | 57 | 2359.3 | 0 | 323 | 8.1 %ile | 90.7 %ile |
ubiome | 0.76 | 59 | 4152 | 0 | 4510 | 1367.8 | 659 | 1603.2 | 59 | 4152 | 12.5 %ile | 75 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 3.27 | 15.16 | 0.0003 | 0.0015 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 71.197 % | 0.116 % | 0.403 % | 2111.0 | 2965 |
BiomeSightRdp | 9.677 % | 0.01 % | 0.014 % | 3.0 | 31 |
CerbaLab | 66.667 % | 0.001 % | 0.001 % | 2.0 | 3 |
custom | 3.279 % | 0.229 % | 0.324 % | 2.0 | 61 |
es-xenogene | 17.241 % | 0.015 % | 0.007 % | 5.0 | 29 |
Medivere | 42.857 % | 0.003 % | 0.002 % | 3.0 | 7 |
SequentiaBiotech | 2.778 % | 0.032 % | % | 1.0 | 36 |
Thorne | 81.731 % | 0.001 % | 0.001 % | 85.0 | 104 |
Thryve | 69.971 % | 0.074 % | 0.242 % | 974.0 | 1392 |
uBiome | 0.758 % | 0.137 % | 0.16 % | 6.0 | 792 |
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Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.
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