Bradyrhizobium Details: NCBI 374, gram-negative or unknown [genus]

| Agromonas| Agromonas Ohta and Hattori 1985| Bradyrhizobium| Bradyrhizobium Jordan 1982

1. Environmental Role: Flavobacterium aquatile and other members of the genus Flavobacterium are known for their diverse metabolic capabilities and their ability to degrade complex organic compounds in aquatic environments. They contribute to nutrient cycling, organic matter decomposition, and the maintenance of ecosystem balance in freshwater and marine habitats.

2. Biotechnological Applications: Some Flavobacterium species, including Flavobacterium aquatile, have been studied for their potential biotechnological applications, particularly in the fields of wastewater treatment, bioremediation, and aquaculture. They may have roles in the degradation of pollutants and the production of enzymes or bioactive compounds with industrial or environmental significance.

3. Rare Human Infections: While Flavobacterium aquatile is not considered a common human pathogen, there have been rare reports of infections in humans, typically associated with immunocompromised individuals or those with underlying medical conditions. In such cases, Flavobacterium aquatile infections may present as opportunistic infections, such as wound infections, bacteremia, or urinary tract infections.

4. Prevention: Preventive measures to minimize the risk of infections with Flavobacterium aquatile or other environmental bacteria include maintaining good hygiene practices, avoiding exposure to contaminated water sources, and implementing proper wound care and infection control measures, particularly in healthcare settings.

Visuals of Interactions with other bacteria of the same rank

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Other Sources for more information:

• Immune Epitope Database
• The NCBI taxonomy database
• UniProt
• Immune Epitope Taxonomy Database (IEDB)
• AI Engines For more Details: Perplexity  Kagi Labs  You 

More Information

Statistics

NCBI

Data Punk

End Products Produced

Lab Reporting

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 Bradyrhizobium

• 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	0.49			5	900	0	700	171.5	20	269.8	5	900	7.7 %ile	84.6 %ile
biomesight	3.02	0	0	10	2022	0	655	85.9	20	290.3	0	60	0 %ile	100 %ile
thorne	100			11	145	0	122	55.2	46	34	20	96	0 %ile	100 %ile
thryve	0.18			11	15	7	19	13	13	2.8	11	15	25 %ile	50 %ile
ubiome	1.27			31	4774	0	3551	666.9	122	1471.6	31	4774	8.3 %ile	83.3 %ile

External Reference Ranges for Bradyrhizobium

Bradyrhizobium (NCBI 374) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age
Thorne (20/80%ile)	0	60.02	0	0.006
PrecisionBiome	1.676337342360057E-05	0.0009739358793012798	0	0

Statistic by Lab Source for Bradyrhizobium

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
Biomesight	2.901 %	0.006 %	0.021 %	135.0	4653
bugspeak	100 %	0.011 %	%	1.0	1
CerbaLab	66.667 %	0.001 %	0 %	2.0	3
custom	1.316 %	0.001 %	%	1.0	76
es-xenogene	15.625 %	0.034 %	0.034 %	5.0	32
Medivere	12.5 %	0.001 %	%	1.0	8
Thorne	93.426 %	0.003 %	0.005 %	270.0	289
Thryve	0.194 %	0.004 %	0.005 %	3.0	1543
Tiny	8.333 %	0.002 %	%	1.0	12
uBiome	1.247 %	0.067 %	0.147 %	10.0	802

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Data Contradictions — Limits of Certainity

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General Substance	Specific Substance	Effect
Antibiotics, Antivirals etc	amoxicillin [CFS]	1 Studies recorded. The consensus is Decreases👪, Click for details.
Antibiotics, Antivirals etc	azithromycin,[CFS]	1 Studies recorded. The consensus is Increases📓, Click for details.
Antibiotics, Antivirals etc	ciprofloxacin [CFS]	1 Studies recorded. The consensus is Decreases👪, Click for details.
Food (excluding seasonings)	Hydrastis canadensis {Goldenseal}	1 Studies recorded. The consensus is Increases👶, Click for details.
Herb or Spice	5,6-dihydro-9,10-dimethoxybenzo[g]-1,3-benzodioxolo[5,6-a]quinolizinium {Berberine}	1 Studies recorded. The consensus is Increases👶, Click for details.
Vitamins, Minerals and similar	vitamin d	1 Studies recorded. The consensus is Increases👶, Click for details.
Vitamins, Minerals and similar	Zinc {Zinc Supplements}	1 Studies recorded. The consensus is Increases👶, Click for details.

Food Groups Containing the Bradyrhizobium bacteria

This is base on Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome. See that paper for details on foods groups.

1. meat : 100% of Highest
2. fermented_beverages : 0.0117594% of Highest
3. dairy : 0.000313% of Highest

Foods Containing the Bradyrhizobium bacteria

Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.

Cheese with dietary fibers Weight: 1.576 Piedmont hard cheese Weight: 0.1703 Cider - Dry Weight: 0.1175 Sausage, Cyprus: Limassol Weight: 0.08941 Beer Belgian Strong Dark Ale Weight: 0.0564 Jarlsberg cheese Weight: 0.05422 Beer Sour Flanders Red Ale Weight: 0.04601 Passito wine Weight: 0.04509 DZ Liqvan cheese cheese farm D Weight: 0.03689 Ham fermented for 4 years Weight: 0.03647 Palm wine Weight: 0.02197 yoghurt fermentation Weight: 0.01159 fermented Hakarl Weight: 0.01017 Dehulled maize dough fermented 12h, Ghana Weight: 0.008384 Gruyere cheese Weight: 0.00836