Details about Weissella: NCBI 46255, low G+C gram-positive

  1. Fermentation in Food Production: Weissella species are commonly used in the fermentation of foods, contributing to the development of specific flavors and textures in fermented products. These bacteria are often part of the natural microbiota involved in processes like sourdough fermentation and vegetable fermentation.

  2. Probiotic Potential: Some strains of Weissella have been investigated for their potential probiotic properties. Probiotics are live microorganisms that, when administered in adequate amounts, confer health benefits to the host. Certain Weissella strains have shown potential in vitro and in animal studies for promoting gut health and exerting antimicrobial activity against pathogenic bacteria.

  3. Immunomodulation: Like other LAB, Weissella species may have immunomodulatory effects. Research suggests that LAB can interact with the immune system and modulate its responses, potentially influencing the balance of the immune system.

  4. Antimicrobial Properties: Weissella strains have been studied for their antimicrobial properties, which may contribute to the inhibition of pathogenic bacteria in the gut. This property could be beneficial for overall gut health.

  5. Diversity of Strains: It's important to note that the effects of different Weissella strains can vary, and not all strains may have the same probiotic or health-promoting properties.

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More Information
  Statistics   5735 Interactions with Other Bacteria   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 Weissella

Using Kaltoft-Moldrup Heuristic Using uploaded data for Weissella

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)
LabKM LowKM Percentile LowKM HighKM Percentile HighLab LowLab HighMeanStandard Deviation
All 0.001 8.8 %ile 0.036 96.3 %ile 0 0.505 0.024 0.245
BiomeSight 0.001 0 %ile 0.024 96.2 %ile 0 0.277 0.016 0.133
Ombre/Thryve 0.002 8.6 %ile 0.043 95.6 %ile 0 0.681 0.03 0.332
uBiome 0.002 0 %ile 0.469 100 %ile 0 0.243 0.044 0.102
Lab Suggestions for Weissella
Weissella (NCBI 46255) per million
Low Boundary High Boundary Low Boundary %age High Boundary %age Lab Samples
1000 10000 0.1 1 XenoGene
Statistic by Lab Source for Weissella
These desired values are reported from the lab reports
Lab Frequency Seen Average Standard Deviation Sample Count Lab Samples
CosmosId 2.632 %   0.009 %  % 1.0 38
es-xenogene 57.143 %   0.277 %  1.032 % 20.0 35
SequentiaBiotech 11.111 %   0.015 %  0.002 % 4.0 36
Thorne 100 %   0.001 %  0.001 % 55.0 55
uBiome 3.783 %   0.044 %  0.102 % 30.0 793
CerbaLab 66.667 %   0.002 %  0.001 % 2.0 3
Thryve 65.5 %   0.039 %  0.394 % 1029.0 1571
BiomeSight 53.494 %   0.015 %  0.125 % 1424.0 2662
custom 13.433 %   0.023 %  0.008 % 9.0 67
Medivere 42.857 %   0.003 %  0.002 % 3.0 7
BiomeSightRdp 33.333 %   0.069 %  0.253 % 15.0 45

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Data Contradictions — Limits of Certainity

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General Substance Specific Substance Effect
Diet Style high sugar diet 1 Studies recorded. The consensus is Increases📓, Click for details.
Diet Style high-fat diets 1 Studies recorded. The consensus is Increases📓, Click for details.
Food (excluding seasonings) cabbage 1 Studies recorded. The consensus is Increases📓, Click for details.
Food (excluding seasonings) walnuts 1 Studies recorded. The consensus is Increases📓, Click for details.
Herb or Spice neem 1 Studies recorded. The consensus is Decreases📓, Click for details.
Herb or Spice rosmarinus officinalis,rosemary 1 Studies recorded. The consensus is Decreases📓, Click for details.
Herb or Spice schinus molle (herb) 1 Studies recorded. The consensus is Decreases📓, Click for details.
Prebiotics and similar fructo-oligosaccharides (prebiotic) 1 Studies recorded. The consensus is Increases👶, Click for details.
Prebiotics and similar Gluco-Oligosaccharides 2 Studies recorded. The consensus is Increases👶👪, Click for details.
Prescription - Other proton-pump inhibitors (prescription) 2 Studies recorded. The consensus is Increases👶👪, Click for details.
Probiotics lactobacillus paracasei (probiotics) 1 Studies recorded. The consensus is Increases👶, Click for details.
Probiotics lactobacillus plantarum (probiotics) 1 Studies recorded. The consensus is Increases📓, Click for details.
Vitamins, Minerals and similar zinc 2 Studies recorded. The consensus is Decreases👶, Click for details.

All suggestions are computed solely on their predicted microbiome impact. Safety, side-effects etc must be evaluated by your medical professionals before starting. Some items suggests have significant risk of adverse consequences for some people.

Special thanks to David F Morrison and Geert Van Houcke for doing Quality Assurance. Special thanks to Oliver Luk, B.Sc. (Biology) from BiomeSight for spot checking the coding of data from the US National Library of Medicine

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

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