| Syntrophobacteraceae| Syntrophobacteraceae Kuever et al. 2006
Syntrophic Relationships: Bacteria in the family Syntrophobacteraceae are often involved in syntrophic relationships, particularly in anaerobic environments such as anaerobic digesters, sediments, and other environments where organic matter is degraded. Syntrophic bacteria work in cooperation with other microorganisms to break down complex organic compounds.
Anaerobic Degradation: Members of Syntrophobacteraceae play a role in the anaerobic degradation of organic matter, including fatty acids and other compounds. They are often part of microbial consortia involved in the conversion of complex organic substrates into simpler compounds.
Environmental Roles: The primary significance of Syntrophobacteraceae lies in their ecological roles in anaerobic ecosystems. They contribute to the overall microbial diversity and function in these environments.
Limited Information on Human Health: As of my last update, there is limited information on the direct health impacts of Syntrophobacteraceae on humans. These bacteria are primarily studied in the context of environmental microbiology and microbial ecology.
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Other Sources for more information:
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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 | 0.49 | 6 | 30 | 0 | 32 | 14.4 | 10 | 9.2 | 6 | 30 | 7.7 %ile | 84.6 %ile | ||
biomesight | 28.67 | 0 | 10 | 10 | 130 | 0 | 167 | 39.8 | 20 | 64.7 | 20 | 60 | 0 %ile | 96.8 %ile |
thorne | 86.21 | 2 | 17 | 0 | 15 | 7.4 | 6 | 4.1 | 4 | 16 | 0 %ile | 100 %ile | ||
thryve | 33.84 | 0 | 17 | 1 | 128 | 0 | 94 | 35.3 | 26 | 30 | 10 | 66 | 0 %ile | 99.2 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
PrecisionBiome | 1.7017297068377957E-05 | 0.00010410278628114611 | 0 | 0 |
Thorne (20/80%ile) | 1.13 | 7.06 | 0.0001 | 0.0007 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 35.697 % | 0.006 % | 0.014 % | 1661.0 | 4653 |
BiomeSightRdp | 41.935 % | 0.002 % | 0.001 % | 13.0 | 31 |
CerbaLab | 66.667 % | 0.002 % | 0.002 % | 2.0 | 3 |
custom | 2.632 % | 0.002 % | 0 % | 2.0 | 76 |
es-xenogene | 3.125 % | 0.002 % | % | 1.0 | 32 |
Medivere | 25 % | 0.001 % | 0 % | 2.0 | 8 |
Thorne | 66.436 % | 0 % | 0 % | 192.0 | 289 |
Thryve | 28.581 % | 0.003 % | 0.003 % | 441.0 | 1543 |
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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.