| Succinivibrionaceae| Succinivibrionaceae Hippe et al. 1999
Rumen Microbiota: Succinivibrionaceae bacteria are often associated with the rumen microbiota of ruminant animals, such as cattle. The rumen is a complex fermentation chamber where microbial communities, including bacteria like Succinivibrionaceae, play a crucial role in the digestion of fibrous plant material.
Fermentation and Metabolism: Bacteria within the Succinivibrionaceae family contribute to the fermentation of complex carbohydrates in the rumen, producing metabolites such as succinate. This fermentation process is essential for the breakdown of plant material and the production of short-chain fatty acids that can be absorbed by the host animal.
Influence on Methane Production: Some research suggests that bacteria within the Succinivibrionaceae family may influence methane production in the rumen. Methane is a byproduct of microbial fermentation in the gut of ruminant animals, and its production is of interest due to its environmental impact.
Limited Clinical Information: Information specifically related to the health impacts of Succinivibrionaceae on humans or animals outside of the context of the rumen microbiota is not well-documented in the available scientific literature. The focus of research on bacterial families like Succinivibrionaceae may primarily be on their roles in specific ecological niches.
A lot more information is available when you are logged in and raise the display level
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 | 0.97 | 6 | 33200 | 0 | 16317 | 2031.4 | 50 | 7288.4 | 0 | 129 | 0 %ile | 100 %ile | ||
biomesight | 26.49 | 0 | 20 | 20 | 176670 | 0 | 35264 | 3288.2 | 70 | 16314.1 | 0 | 1090 | 8 %ile | 100 %ile |
thorne | 96.55 | 1 | 87 | 0 | 47 | 13.3 | 9 | 17.2 | 3 | 17 | 0 %ile | 100 %ile | ||
thryve | 23.19 | 0 | 11 | 13 | 111463 | 0 | 24687 | 2258.6 | 27 | 11443.1 | 9 | 75 | 8 %ile | 100 %ile |
ubiome | 1.9 | 23 | 215656 | 0 | 148057 | 34005.4 | 7996 | 58189.3 | 23 | 215656 | 5.9 %ile | 88.2 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 0 | 8.76 | 0 | 0.0009 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 13.333 % | 0.528 % | 0.695 % | 2.0 | 15 |
BiomeSight | 29.05 % | 0.36 % | 1.825 % | 832.0 | 2864 |
BiomeSightRdp | 9.375 % | 1.107 % | 1.916 % | 3.0 | 32 |
CerbaLab | 66.667 % | 0.004 % | 0.001 % | 2.0 | 3 |
custom | 15.254 % | 0.008 % | 0.003 % | 9.0 | 59 |
es-xenogene | 58.621 % | 0.006 % | 0.003 % | 17.0 | 29 |
Thorne | 70 % | 0.001 % | 0.002 % | 63.0 | 90 |
Thryve | 21.837 % | 0.192 % | 1.054 % | 302.0 | 1383 |
Tiny | 100 % | 0.001 % | % | 1.0 | 1 |
uBiome | 1.894 % | 3.401 % | 5.819 % | 15.0 | 792 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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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.
This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.
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