Deferribacteres Details: NCBI 68337, gram-negative or unknown [class]
| Deferribacteres| Deferribacteres Huber and Stetter 2002| Flexistipes group
Anaerobic Environments:
Deferribacteres bacteria are adapted to anaerobic conditions, and they are commonly found in environments where oxygen is limited. Their presence is often associated with anaerobic sediments, thermal vents, and other habitats with low oxygen availability.
Gut Microbiota:
Some members of the class Deferribacteres may be part of the gut microbiota in animals, including humans. The gut microbiota plays a crucial role in various physiological functions, including digestion, nutrient metabolism, and immune system modulation.
Metabolic Functions:
The metabolic capabilities of Deferribacteres bacteria can vary. Some species are known for their ability to use complex organic compounds through fermentation or other metabolic pathways. Their metabolic activities may contribute to the overall functioning of microbial communities in anaerobic environments.
Limited Pathogenicity:
As of my last update, there is limited information on the pathogenicity of Deferribacteres bacteria. Many bacteria in this class are considered commensals or have environmental roles, indicating that they coexist with their hosts or inhabit specific ecological niches without causing harm.
Ecological Significance:
Deferribacteres bacteria have ecological significance in anaerobic ecosystems, where they participate in the cycling of organic matter and contribute to biogeochemical processes. Their presence in diverse environments reflects their adaptation to specific ecological niches.
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.
Desired Levels Suggestions for Deferribacteres
Frequency - how often do samples show this bacteria
UD - An alternative statistical algorithm (which factors in the frequency)
Kaltoft-Moldrup Heuristic Using uploaded data
Lab Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
These are values that are computed from lab specific samples (Patent Pending)
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
0.75
3
300
0
253
68
19
94.6
3
300
0 %ile
100 %ile
biomesight
26.11
0
10
10
140
0
150
38.2
20
57.1
20
60
0 %ile
97 %ile
thorne
96.55
4
87
0
58
19.1
10
20
5
23
0 %ile
100 %ile
thryve
10.2
0
0
1
115
0
46
21.8
20
12.3
10
30
0 %ile
100 %ile
ubiome
0.13
0
17
17
17
17
17
0 %ile
99 %ile
External Reference Ranges for Deferribacteres
Deferribacteres (NCBI 68337) per million
Source of Ranges
Low Boundary
High Boundary
Low Boundary %age
High Boundary %age
PrecisionBiome
1.9988632629974745E-05
4.777063804795034E-05
0
0
Thorne (20/80%ile)
2.63
7.52
0.0003
0.0008
Statistic by Lab Source for Deferribacteres
These desired values are reported from the lab reports
Lab
Frequency Seen
Average
Standard Deviation
Sample Count
Lab Samples
BiomeSight
30.991 %
0.004 %
0.005 %
1442.0
4653
BiomeSightRdp
25.806 %
0.004 %
0.004 %
8.0
31
CerbaLab
66.667 %
0.003 %
0.001 %
2.0
3
custom
6.579 %
0.001 %
0 %
5.0
76
es-xenogene
15.625 %
0.018 %
0.011 %
5.0
32
Medivere
50 %
0.003 %
0.002 %
4.0
8
Thorne
75.087 %
0.001 %
0.001 %
217.0
289
Thryve
9.916 %
0.002 %
0.001 %
153.0
1543
uBiome
0.125 %
0.002 %
%
1.0
802
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