| ATCC 49066| Cellulosilyticum lentocellum| Cellulosilyticum lentocellum (Murray et al. 1987) Cai and Dong 2010| Clostridium lentocellum| Clostridium lentocellum Murray et al. 1987| DSM 5427| NCIMB 11756| strain RHM5
Role in Plant Biomass Degradation: Cellulosilyticum lentocellum, being cellulolytic, is likely involved in the breakdown of cellulose in plant materials. This process is important for nutrient cycling and carbon turnover in ecosystems.
Potential Biotechnological Applications: Cellulolytic microorganisms, including Cellulosilyticum lentocellum, have potential applications in biotechnology for the bioconversion of plant biomass into biofuels, such as ethanol. They may also be explored for other industrial processes related to cellulose degradation.
Environmental Impact: While cellulolytic bacteria like Cellulosilyticum lentocellum are essential for natural ecosystems, their specific health impacts on humans are indirect and related to environmental processes.
Gut Microbiota Interaction: If present in the gut environment, cellulolytic bacteria may contribute to the breakdown of dietary plant fibers. However, the direct impact of Cellulosilyticum lentocellum on human gut health is not well-documented.
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 | 0.44 | 5 | 100 | 0 | 104 | 38.3 | 28 | 33.4 | 5 | 100 | 8.3 %ile | 83.3 %ile | ||
thorne | 79.31 | 2 | 24 | 0 | 20 | 9 | 8 | 5.5 | 2 | 12 | 0 %ile | 100 %ile | ||
thryve | 44.31 | 0 | 22 | 15 | 227 | 0 | 5771 | 269.2 | 31 | 2806.9 | 7 | 85 | 12.2 %ile | 94.9 %ile |
ubiome | 0.89 | 18 | 797 | 0 | 933 | 353.3 | 238 | 295.5 | 18 | 797 | 11.1 %ile | 77.8 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSightRdp | 12.5 % | 0.003 % | 0.001 % | 4.0 | 32 |
CerbaLab | 66.667 % | 0.003 % | 0.001 % | 2.0 | 3 |
custom | 1.695 % | 0.001 % | % | 1.0 | 59 |
es-xenogene | 13.793 % | 0.006 % | 0.005 % | 4.0 | 29 |
Thorne | 57.778 % | 0.001 % | 0.001 % | 52.0 | 90 |
Thryve | 42.805 % | 0.023 % | 0.256 % | 592.0 | 1383 |
uBiome | 0.884 % | 0.035 % | 0.03 % | 7.0 | 792 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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