This site may require a log-in in the near future. We are constantly being swamped by AI agents. If they continue to take down the site, we will be changing to requiring logins to access any item.

Acetobacter Details: NCBI 434, gram-negative or unknown [genus]

| "Acetimonas" Orla-Jensen 1909| "Acetobacterium" Ludwig 1898| "Mycoderma" Thompson 1852| "Termobacterium" Zeidler 1896 (not Lindner 1895)| "Ulvina" Kutzing 1834| Acetimonas| Acetobacter| Acetobacter Beijerinck 1898| Mycoderma| Termobacterium| Ulvina

  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.

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

A lot more information is available when you are logged in and raise the display level

Other Sources for more information:

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 Acetobacter

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.
BiomeSight 0.0094 0.0259 0.002 0.001 0.192 0.0571 1.2526   0.001 - 0.005   0.001 - 0.1771   -0.0856 - 0.1373   -0.005 - 0.011 0.0019 0.004 35
Thorne 0.9048 0.0014 0.001 0.0001 0.0113 0.0016 0.7968   0.0005 - 0.0016   0.0002 - 0.0044   -0.0016 - 0.0045   -0.0011 - 0.0033 0.0006 0.001 171
Thryve 0.0169 0.0022 0.0019 0.0001 0.0061 0.0014 0.644   0.0013 - 0.0027   0.0009 - 0.0057   -0.0006 - 0.005   -0.0008 - 0.0048 0.001 0.0017 21
Vitract 0.03 0   -   -   -   - 24

External Reference Ranges for Acetobacter

Acetobacter (NCBI 434) per million
Source of Ranges Low Boundary High Boundary Low Boundary %age High Boundary %age
PrecisionBiome 1.6348336430382915E-05 4.089629874215461E-05 0 0
Thorne (20/80%ile) 13.27 27.17 0.0013 0.0027

To see medical conditions associated you may be logged in

And display level must be raised above public.

I would like to know what can change the quality that I have

Data Contradictions β€” Limits of Certainity

To get the list of studies, you must be logged in and raise your display level.

πŸ§™? Search Hints:
General Substance Specific Substance Effect
Diet Style hypocaloric hyperproteic diet 1 Studies recorded. The consensus is Increases👶, Click for details.
Diet Style Slow digestible carbohydrates. {Low Glycemic} 1 Studies recorded. The consensus is Decreases👶, Click for details.
Diet Style Traditional Mediterranean diet {Mediterranean diet} 1 Studies recorded. The consensus is Increases👶, Click for details.
Diet Style whole-grain diet 1 Studies recorded. The consensus is Decreases👶, Click for details.
Food (excluding seasonings) olive oil {olive oil} 1 Studies recorded. The consensus is Increases👶, Click for details.
Herb or Spice Myrciaria dubia {Camu camu} 1 Studies recorded. The consensus is Decreases👶, Click for details.
Herb or Spice Piper nigrum {black pepper} 1 Studies recorded. The consensus is Increases📓, Click for details.
Vitamins, Minerals and similar Mixture of Vitamin B? {B Vitamins} 1 Studies recorded. The consensus is Decreases👶, Click for details.
Vitamins, Minerals and similar Thiamine {Vitamin B1} 1 Studies recorded. The consensus is Decreases👶, Click for details.

Food Groups Containing the Acetobacter 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. fermented_beverages : 100% of Highest
  2. alcohol : 44.5305276% of Highest
  3. fermented_grains : 41.0042734% of Highest
  4. fermented_tubers_and_roots : 26.0420549% of Highest
  5. dairy : 6.3803534% of Highest
  6. fermented_legumes : 2.0032922% of Highest
  7. other : 1.8981376% of Highest
  8. fermented_fruits_and_vegetables : 0.1428378% of Highest
  9. fermented_meat : 0.0119826% of Highest

Foods Containing the Acetobacter 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.

Maize dough, Ghana Weight: 32.55 Ghee, Uganda Weight: 30.09 Kefir grain Weight: 25 Beer Weight: 24.87 Kefir Weight: 21.88 Kwerionik, Uganda Weight: 15.86 Beer Brett Beer Weight: 4.914 Boule d'akassa (Burkina Faso) Weight: 4.799 Ogi from maize, Nigeria Weight: 4.605 Mawe from sorghum fermented 12h, Benin Weight: 3.89 Cider - Dry Weight: 3.783 Mawe from sorghum fermented 48h, Benin Weight: 3.659 Cassava dough, Ghana Weight: 3.583 Obushera, Uganda Weight: 3.543 Wara, Nigeria Weight: 3.455 Mawe from maize fermented 48h, Benin Weight: 3.197 Millet dough(Ghana) Weight: 2.694 Fura, Ghana Weight: 2.556 Tonton, Uganda Weight: 2.339 Palm wine Weight: 2.325 Nono, Nigeria Weight: 1.977 Fermented finger millet Weight: 1.928 Sufu - Formented tofu Weight: 1.501 Beer Sour Flanders Red Ale Weight: 0.8834 Motoho fermented 72h, South Africa Weight: 0.8809 Piedmont hard cheese Weight: 0.8788 Ogi from sorghum, Nigeria Weight: 0.8513 Beer American Wild Ale Weight: 0.7919 Teff dough fermented Weight: 0.711 Mawe from maize fermented 12h, Benin Weight: 0.6023 Dehulled maize dough fermented 12h, Ghana Weight: 0.6009 Kokonte, Ghana Weight: 0.5812 Tej, Ethiopia Weight: 0.572 Gappal seche, Burkina Faso Weight: 0.5466 Tuba fermented drink(Filipino) Weight: 0.491 Dehulled maize dough, Ghana Weight: 0.4573 Dawadawa, Ghana Weight: 0.4105 Swiss-Dutch-type cheese Weight: 0.3915 Nunu, Ghana Weight: 0.3571 Marajó cheese, water buffalo milk + cow milk Weight: 0.3249 Sausage, Cyprus: Limassol Weight: 0.2553 Portuguese Painho de Porco Iberico fermented sausages Weight: 0.2127 Caipira cheese Weight: 0.1952 Butter cheese, cow milk Weight: 0.07737 Cheese with protective lactobacilli in milk Weight: 0.03128 Lard Farm Weight: 0.01499 Beer Sour Ale Weight: 0.01366 Greek kefir Weight: 0.01352 Sausage, Cyprus: Paphos Weight: 0.01273 Beer Farmhouse Ale - Sahti Weight: 0.008336 Campo das Vertentes cheese Weight: 0.00499 Curd cheese, cow milk Weight: 0.004629 fermented Hakarl Weight: 0.002703

Explanations /Info /Descriptions are influenced by Large Language Models and may not be accurate and include some hallucinations.Please report any to us for correction.

Copyright 2016 - 2025 Lassesen Consulting, LLC[2007], DBA, Microbiome Prescription All rights served.   Permission to data scrap or reverse engineer is explicitly denied to all users.U.S.Code Title 18 PART I CHAPTER 47 Β§β€―1030, CETS No.185, CFAA   Use of data on this site is prohibited except under written license.There is no charge for individual personal use.Use for any commercial applications or research requires a written license.   Caveat emptor: Analysis and suggestions are based on modelling(and thus infererence ) based on studies.The data sources are usually given for those that wish to consider alternative inferences.theories and models.   Inventions /Methodologies on this site are Patent Pending.

Microbiome Prescription do not make any representations that data or analyses available on this site is suitable for human diagnostic purposes, for informing treatment decisions, or for any other purposes and accept no responsibility or liability whatsoever for such use.
This site is not in strict compliance with Personal Health Information Laws. [216.73.216 ]