Sinorhizobium fredii Details: NCBI 380, gram-negative or unknown [species]

| ATCC 35423| CCUG 27877| DSM 5851| Ensifer fredii| Ensifer fredii (Scholla and Elkan 1984) Young 2003| HAMBI 2075| ICMP 11139| IFO 14780| JCM 20967| LMG 6217| LMG:6217| NBRC 14780| NRRL B-14241| NRRL B-14594| Rhizobium fredii| Rhizobium fredii Scholla and Elkan 1984| Sinorhizobium fredii| Sinorhizobium fredii (Scholla and Elkan 1984) Chen et al. 1988 emend. De Lajudie et al. 1994| strain PRC 205| USDA 205

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 Sinorhizobium fredii

• 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	0.13			30	100	0	131	56.7	40	37.9	30	100	20 %ile	60 %ile
thorne	79.31			1	16	0	13	5.3	4	3.9	2	10	0 %ile	100 %ile

External Reference Ranges for Sinorhizobium fredii

Sinorhizobium fredii (NCBI 380) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age
PrecisionBiome	1.860593692981638E-05	0.00011080604599555954	0	0
Thorne (20/80%ile)	1.98	8.49	0.0002	0.0008

Statistic by Lab Source for Sinorhizobium fredii

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
es-xenogene	9.375 %	0.006 %	0.004 %	3.0	32
Thorne	55.822 %	0 %	0 %	163.0	292

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