Pantoea agglomerans Details: NCBI 549, gram-negative or unknown [species]

| "Bacillus milletiae" Kawakami and Yoshida 1920| "Bacterium herbicola" Geilinger 1921| "Bacterium herbicola" Lohnis 1911| "Pseudomonas herbicola" (Geilinger 1921) de'Rossi 1927| ATCC 27155| ATCC 33243 [[Erwinia herbicola (Lohnis 1911) Dye 1964]]| ATCC 33261 [[Erwinia milletiae (Kawakami and Yoshida 1920) Magrou 1937 (Approved Lists 1980)]]| Bacillus milletiae| bacterium G33-1| Bacterium herbicola| CCUG 539| CDC 1461-67| CFBP 3845| CIP 57.51| CIP 82.100 [[Erwinia herbicola (Lohnis 1911) Dye 1964]]| DSM 3493| DSM 3785 [[Erwinia herbicola (Lohnis 1911) Dye 1964]]| Enterobacter agglomerans| Enterobacter agglomerans (Beijerinck 1888) Ewing and Fife 1972 (Approved Lists 1980) emend. Beji et al. 1988| Erwinia herbicola| Erwinia herbicola (Lohnis 1911) Dye 1964| Erwinia milletiae| Erwinia milletiae (Kawakami and Yoshida 1920) Magrou 1937 (Approved Lists 1980)| ICMP 12534| ICMP 272 [[Erwinia herbicola (Lohnis 1911) Dye 1964]]| ICPB 3435| JCM 1236| LMG 1286| LMG 2565 [[Erwinia herbicola (Lohnis 1911) Dye 1964]]| LMG 2660 [[Erwinia milletiae (Kawakami and Yoshida 1920) Magrou 1937 (Approved Lists 1980)]]| LMG:1286| LMG:2565 [[Erwinia herbicola (Lohnis 1911) Dye 1964]]| LMG:2660 [[Erwinia milletiae (Kawakami and Yoshida 1920) Magrou 1937 (Approved Lists 1980)]]| NBRC 102470| NCPPB 2519 [[Erwinia milletiae (Kawakami and Yoshida 1920) Magrou 1937 (Approved Lists 1980)]]| NCPPB 2971 [[Erwinia herbicola (Lohnis 1911) Dye 1964]]| NCTC 9381| Pantoea agglomerans| Pantoea agglomerans (Beijerinck 1888) Gavini et al. 1989| Pantoea herbicola| Pantoea sp. SL1_M5| Pseudomonas herbicola

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 2 Interactions with other bacteria of the same rank

The above data is from 1000 Healthy Individuals done using Shotgun(10 Millions reads) provide courtesy of Precision Biome.

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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 Pantoea agglomerans

• Lab Low and High are calculated using the formula that most labs use: Mean - 1.95 Standard Deviation to Mean + 1.95 Standard Deviation

These are values that are computed from lab specific samples and are in percentage

Lab	Frequency	Average	Median	Minimum	Maximum	Std.Dev.	Skew	25 - 75 Percentile	5 - 95 Percentile	Lab Ranges	Box-Plot-Whiskers	Harmonic Mean	Geometric Mean	Obs.
Thorne	0.3598	0.012	0.0002	0.0001	0.7917	0.096	0.3674	0.0001 - 0.0004	0.0001 - 0.001	-0.1752 - 0.1991	-0.0004 - 0.0009	0.0002	0.0003	68
Thryve	0.0645	0.0046	0.0027	0.0004	0.0541	0.0081	0.6837	0.0015 - 0.0041	0.0007 - 0.011	-0.0113 - 0.0205	-0.0024 - 0.0081	0.002	0.0028	80
Vitract	0.0712						0	-	-	-	-			57

External Reference Ranges for Pantoea agglomerans

Pantoea agglomerans (NCBI 549) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age
PrecisionBiome	1.7313059288426302E-05	0.00013268983457237482	0	0

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Data Contradictions — Limits of Certainity

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Foods Containing the Pantoea agglomerans 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.

Malaysian fermented fish sauce Weight: 0.1548 Table olives ready for consumption 90 d Weight: 0.1153 tomato sour soup metagenome Weight: 0.0246 Paipa cheese Weight: 0.0125 Fermented Fabriano-like sausage Weight: 0.01013 Robiola di Roccaverano Cheese (Italy) Weight: 0.008988