Aloreña olives

The data comes from FoodMicrobionet and does not cover yogurts with probiotics added. Most foods have not been studied. Weight indicate the relative amount of the total bacteria. Bacteria not found in the NCBI list may be omitted. See the above site for a full list.

Data is aggregate from multiple studies which often use different measurement techniques

Bacteria RankWeight
Aerococcus genus 0.0196
Alkalibacterium genus 0.114
Alkalibacterium psychrotolerans species 0.0177
Carnimonas genus 0.0432
Celerinatantimonas genus 8.14
Cobetia genus 0.0286
Companilactobacillus genus 0.0797
Enterobacter genus 0.0354
Enterobacteriaceae family 0.0276
Erwinia persicina species 0.132
Gammaproteobacteria class 0.00411
Halomonadaceae family 0.00686
Halomonas genus 0.0491
Holzapfeliella genus 0.00758
Idiomarina genus 0.00964
Janthinobacterium lividum species 0.00458
Lacticaseibacillus genus 0.223
Lactiplantibacillus genus 44.4
Lactobacillus genus 0.391
Lactococcus genus 0.049
Lentilactobacillus genus 9.59
Leuconostoc genus 0.0626
Levilactobacillus genus 3.08
Ligilactobacillus genus 0.204
Loigolactobacillus genus 0.448
Marinilactibacillus genus 0.145
Marinobacter genus 0.0178
Modicisalibacter genus 0.00456
Natronobacillus genus 0.0545
Pantoea genus 0.0933
Paucilactobacillus genus 0.45
Pediococcus genus 7.29
Pediococcus parvulus species 22
Pseudoalteromonas genus 0.00964
Pseudohongiella genus 0.00544
Pseudomonadales order 0.0124
Pseudomonas genus 0.0634
Salinicola genus 0.095
Salinisphaera genus 0.00411
Salinispirillum genus 0.00998
Salinivibrio genus 0.0329
Schleiferilactobacillus genus 1.19
Secundilactobacillus genus 1.63
Serratia genus 0.0217
Serratia rubidaea species 0.0616
Sporolactobacillus genus 0.00544
Stenotrophomonas genus 0.0114
Suttonella genus 0.0916
Vibrio genus 0.0924
Weissella genus 0.0297
Weissella soli species 0.0126
Xanthomonas genus 0.00684

BOOM

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.

Copyright 2016-2023 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 Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.


The awesome web hosting site that we use. Try it if you need to host (or unhappy with current provider)