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.

Cytophagales Details: NCBI 768507, gram-negative or unknown [order]

| Cytophagales| Cytophagales Leadbetter 1974

  1. Environmental Roles:

    • Many bacteria within Cytophagales are environmental bacteria commonly found in soil, water, and other habitats. They play roles in the breakdown of organic matter and nutrient cycling in ecosystems.
  2. Decomposition and Detoxification:

    • Some species within Cytophagales are involved in the decomposition of complex organic compounds. They contribute to the recycling of nutrients and the detoxification of environmental substances.
  3. Bioremediation Potential:

    • Certain bacteria within Cytophagales have been studied for their potential applications in bioremediation. They may have the ability to degrade pollutants, contributing to environmental cleanup efforts.
  4. Cellulose Degradation:

    • Some members of Cytophagales are known for their ability to degrade cellulose, a complex polysaccharide found in plant cell walls. This capability may be relevant in the context of plant material decomposition in environmental ecosystems.
  5. Limited Studies on Human Health:

    • While bacteria within Cytophagales are ecologically important, their direct impacts on human health are not as well-documented as some other bacterial groups. They are generally considered part of the normal microbial community in environmental niches.

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 Cytophagales

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 0.9787 0.1002 0.0315 0.001 11.5919 0.4414 0.4666   0.017 - 0.06   0.006 - 0.274   -0.7607 - 0.961   -0.0475 - 0.1245 0.0181 0.0335 3626
BiomeSightRdp 0.8148 0.008 0.003 0.001 0.052 0.0112 1.3269   0.002 - 0.0105   0.002 - 0.0179   -0.0139 - 0.0298   -0.0108 - 0.0232 0.003 0.0044 22
Medivere 0.8571 0.0141 0.0145 0.0038 0.0261 0.0085 -0.1356   0.0075 - 0.0189   0.0044 - 0.0244   -0.0025 - 0.0306   -0.0096 - 0.0361 0.0091 0.0116 6
SequentiaBiotech 0.3333 0.0307 0.0294 0.0116 0.0696 0.0162 0.2282   0.0181 - 0.0373   0.0126 - 0.0554   -0.0009 - 0.0623   -0.0108 - 0.0662 0.0237 0.027 12
Thorne 0.9418 0.0217 0.0137 0.0003 0.3015 0.0352 0.6823   0.0095 - 0.0219   0.0028 - 0.0508   -0.047 - 0.0904   -0.0091 - 0.0405 0.0071 0.0136 178
Thryve 0.854 0.0273 0.008 0.0001 4.4852 0.1685 0.3432   0.004 - 0.0161   0.0016 - 0.0605   -0.3014 - 0.3559   -0.0141 - 0.0341 0.0042 0.0085 1059
uBiome 0.0089 0.013 0.0121 0.0027 0.0283 0.0084 0.3256   0.0077 - 0.0163   0.004 - 0.0252   -0.0034 - 0.0294   -0.0052 - 0.0292 0.008 0.0105 7
Vitract 0.402 0.0112 0.0112 0.0062 0.0161 0.007 0   0.0087 - 0.0136   0.0067 - 0.0156   -0.0025 - 0.0248   0.0012 - 0.021 1.4413 0.01 322

External Reference Ranges for Cytophagales

Cytophagales (NCBI 768507) per million
Source of Ranges Low Boundary High Boundary Low Boundary %age High Boundary %age
PrecisionBiome 2.2028236344340257E-05 0.00019066245295107365 0 0
Thorne (20/80%ile) 165.68 329.92 0.0166 0.033

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
Antibiotics, Antivirals etc azithromycin,[CFS] 1 Studies recorded. The consensus is Decreases📓, Click for details.
Food (excluding seasonings) Agaricus bisporus {White button mushrooms} 1 Studies recorded. The consensus is Increases👪, Click for details.
Food (excluding seasonings) Ganoderma sichuanense {Reishi Mushroom} 1 Studies recorded. The consensus is Increases📓, Click for details.
Herb or Spice Bupleurum falcatum x Scutellaria baicalensis x Paeoniae radix {daesiho-tang} 1 Studies recorded. The consensus is Increases📓, Click for details.
Herb or Spice gynostemma pentaphyllum {Jiaogulan} 1 Studies recorded. The consensus is Increases📓, Click for details.
Herb or Spice schisandra chinensis {magnolia berry} 1 Studies recorded. The consensus is Increases📓, Click for details.

Foods Containing the Cytophagales 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.

yoghurt fermentation Weight: 0.000376084062309607

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 ]