| Halobacteroidaceae| Halobacteroidaceae Zhilina and Rainey 1995
Environmental adaptation: Members of the family Halobacteroidaceae are typically halophilic or halotolerant, meaning they can thrive in high-salt environments such as saline soils, salt marshes, and hypersaline waters. Their ability to tolerate high salt concentrations allows them to colonize and play important roles in these environments.
Role in biogeochemical cycling: Halobacteroidaceae bacteria are involved in various biogeochemical processes, including the degradation of organic matter, nutrient cycling, and carbon metabolism. They participate in the breakdown of complex organic compounds, such as polysaccharides and proteins, contributing to the recycling of nutrients and the turnover of organic matter in their habitats.
Potential health impacts: While Halobacteroidaceae bacteria are primarily known for their ecological roles in natural environments, some species within this family have been isolated from clinical samples and human-associated habitats. However, their specific health impacts in humans are not well-documented. In rare cases, certain Halobacteroidaceae species may be opportunistic pathogens, potentially causing infections in immunocompromised individuals or those with underlying health conditions.
Gut microbiota: Some members of the family Halobacteroidaceae have been identified in the human gut microbiota, although they are typically present in low abundance compared to other bacterial groups such as Bacteroidaceae and Prevotellaceae. The presence of Halobacteroidaceae in the gut microbiota may play a role in microbial community dynamics and functional diversity, but their specific contributions to gut health or disease are not well-understood.
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 | 85 | 28.9 | 19 | 28.8 | 5 | 100 | 8.3 %ile | 83.3 %ile | ||
biomesight | 2.89 | 0 | 0 | 10 | 120 | 0 | 57 | 21.7 | 20 | 18.1 | 0 | 20 | 0 %ile | 100 %ile |
thorne | 82.76 | 1 | 28 | 0 | 22 | 7.8 | 5 | 7.1 | 3 | 21 | 0 %ile | 100 %ile | ||
thryve | 34.12 | 0 | 17 | 1 | 255 | 0 | 156 | 42.2 | 24 | 57.8 | 12 | 66 | 0 %ile | 98.9 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 1.25 | 5.32 | 0.0001 | 0.0005 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 2.7 % | 0.002 % | 0.002 % | 80.0 | 2963 |
BiomeSightRdp | 3.226 % | 0.003 % | % | 1.0 | 31 |
CerbaLab | 66.667 % | 0.001 % | 0.001 % | 2.0 | 3 |
custom | 4.918 % | 0.001 % | 0 % | 3.0 | 61 |
es-xenogene | 6.897 % | 0.007 % | 0.004 % | 2.0 | 29 |
Medivere | 57.143 % | 0.002 % | 0.001 % | 4.0 | 7 |
Thorne | 68.269 % | 0.001 % | 0.001 % | 71.0 | 104 |
Thryve | 35.18 % | 0.004 % | 0.006 % | 489.0 | 1390 |
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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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