Details about Verrucomicrobia: NCBI 74201

gram-negative or unknown

Other Names: Verrucomicrobaeota Verrucomicrobaeota Oren et al. 2015 Verrucomicrobia Verrucomicrobia (Hedlund et al. 1997) Yoon et al. 2010 Verrucomicrobia Hedlund 2012 Verrucomicrobiota

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Distribution Chart and Statistics    |    End Products Produced   |    📚 PubMed Citations

Recommended reading: Taxonomy Nightmare

Does a specific lab/source detect it?


Click on to see lab specific distribution
SourcePercentagesamples
es-xenogene 100 % 4
SequentiaBiotech 76.92 % 39
CosmosId 40 % 15
AmericanGut 72.22 % 18
custom 100 % 2
Microba 80 % 5
Medivere 100 % 2
uBiome 62.81 % 832
Thryve 92.61 % 609
BiomeSight 93.14 % 423

Desired Levels from Some Experts

Percentage Seen in Sample
Low Boundary High Boundary Source
0.001 %39.4953 % Kaltoft-Moltrup Normal Ranges
0 %1 %--
0.006 %1.8 %--
0.06 %0.85 %--

Ranges can vary from lab to lab because of different equipment and software being used.

Possible Health Impacts

I would like to know about this bacteria's

🔐 From Citizen Science 2.0

Citizen Science 2.0 Explorer. List is restricted to associations with a high count and a change of random occurance greater than 1 in 100.

Only the 10 most significant associations are shown
SymptomsRangeOdds
Comorbid: Multiple Chemical Sensitivity      Between 50%ile to 100%ile    1 to 1744277.9
Neuroendocrine Manifestations: intolerance of extremes of heat and cold      Between 50%ile to 100%ile    1 to 13833.6
Neuroendocrine Manifestations: abnormal appetite      Between 50%ile to 100%ile    1 to 7268.1
Neurological: Impairment of concentration      Between 50%ile to 100%ile    1 to 6895.1
Neurological-Sleep: Chaotic diurnal sleep rhythms (Erratic Sleep)      Between 50%ile to 100%ile    1 to 6109.9
Neurological-Vision: inability to focus eye/vision      Between 50%ile to 100%ile    1 to 4560
Comorbid: Multiple Chemical Sensitivity      Between 66%ile to 100%ile    1 to 3343.4
General: Fatigue      Between 50%ile to 100%ile    1 to 3326.7
Neuroendocrine Manifestations: Muscle weakness      Between 50%ile to 100%ile    1 to 3031.8

From Published Science

Based on Studies on PubMed
Medical ConditionDirectionPValue
Type 2 Diabetes High 📚 1 citations
Stress / posttraumatic stress disorder Low 📚 2 citations
Inflammatory Bowel Disease High 📚 1 citations
Inflammatory Bowel Disease Low 📚 1 citations
Type 1 Diabetes High 📚 1 citations
Epilepsy High 📚 1 citations
Hyperlipidemia (High Blood Fats) High 📚 1 citations
Parkinson's Disease High 📚 2 citations
Systemic Lupus Erythematosus Low 📚 1 citations
Liver Cirrhosis Low 📚 1 citations
Obesity Low 📚 1 citations
Psoriasis Low 📚 1 citations
Multiple Sclerosis High 📚 1 citations
rheumatoid arthritis (RA),Spondyloarthritis (SpA) Low 📚 1 citations
Ankylosing spondylitis High 📚 2 citations
Autism Low 📚 1 citations
Ulcerative colitis Low 📚 1 citations
Alzheimer's disease High 📚 1 citations

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

You can compare microbiome impact of these by checking the desired items (try keeping the numbers below six(6) and clicking

📓 - direct citation | 👪 - Impacts Parent Taxa | 👶 - Impacts Child Taxa | 🧙 - Inferred
Search Hints: Spice | Herb | Vitamin | Probiotics | Diet | Food | Amino |Flavonoids
General Substance Specific Substance Effect
Antibiotics, Antivirals etc azithromycin,(antibiotic)s 📓 📚 Decreases from 2 studies
Antibiotics, Antivirals etc minocycline (antibiotic)s 📓 📚 Increases from 1 studies
bacillus probiotics bacillus coagulans (probiotics) 📓 📚 Decreases from 1 studies
barley barley 📓 📚 Increases from 1 studies
berberine supplement berberine 📓 📚 Increases from 2 studies
beta-glucan foods barley 📓 📚 Increases from 1 studies
Bismuth Bismuth Salts 📓 📚 Decreases from 1 studies
catechol catecholamines (polyphenol) 📓 📚 Increases from 1 studies
Diet Style high-fat diets 📓 📚 Increases from 1 studies
Drug catecholamines (polyphenol) 📓 📚 Increases from 1 studies
Food (excluding seasonings) barley 📓 📚 Increases from 1 studies
Food (excluding seasonings) fat 📓 📚 Decreases from 1 studies
Food (excluding seasonings) fish oil 📓 📚 Increases from 1 studies
Food (excluding seasonings) pomegranate (fruit, juice etc) 📓 📚 Increases from 1 studies
high fat diet fat 📓 📚 Decreases from 1 studies
high fat diet high-fat diets 📓 📚 Increases from 1 studies
inulin prebiotics inulin (prebiotic) 📓 📚 Increases from 2 studies
lactobacillus probiotics - not specific lactobacillus rhamnosus (probiotics) 📓 📚 Increases from 1 studies
lactobacillus rhamnosus probiotics lactobacillus rhamnosus (probiotics) 📓 📚 Increases from 1 studies
macrolide antibiotics (prescription) azithromycin,(antibiotic)s 📓 📚 Decreases from 2 studies
Miscellaneous, food additives, and other odd items berberine 📓 📚 Increases from 2 studies
Miscellaneous, food additives, and other odd items Bismuth Salts 📓 📚 Decreases from 1 studies
Miscellaneous, food additives, and other odd items partial sleep deprivation 📓 📚 Decreases from 1 studies
not classified Exercise 📓 📚 Increases from 1 studies
not classified Ferric citrate 📓 📚 Increases from 1 studies
not classified Goji (berry,juice) 📓 📚 Increases from 1 studies
not classified pomegranate 📓 📚 Increases from 1 studies
not classified Vinegar 📓 📚 Increases from 1 studies
oligosaccharide (prebiotic) fructo-oligosaccharides (prebiotic) 📓 📚 Increases from 1 studies
omega 3 supplements fish oil 📓 📚 Increases from 1 studies
pomegranate fruit pomegranate (fruit, juice etc) 📓 📚 Increases from 1 studies
Prebiotics and similar fructo-oligosaccharides (prebiotic) 📓 📚 Increases from 1 studies
Prebiotics and similar inulin (prebiotic) 📓 📚 Increases from 2 studies
Probiotics bacillus coagulans (probiotics) 📓 📚 Decreases from 1 studies
Probiotics lactobacillus rhamnosus (probiotics) 📓 📚 Increases from 1 studies
sleep deprivation partial sleep deprivation 📓 📚 Decreases from 1 studies
tetracycline family antibiotics (prescription) minocycline (antibiotic)s 📓 📚 Increases from 1 studies
Vitamins, Minerals and similar vitamin d 📓 📚 Increases from 1 studies

A P-value below 0.0001 is the recommended threshold. A larger R-Square value means a stronger relationship. This is unpublished data using Properitary Artificial Intelligence.

🔐 Details about Verrucomicrobia: Bacteria Interplay


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This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.