Sour Meat

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
Acinetobacter genus 0.0614
Aerococcus genus 0.0559
Bacilli class 0.00269
Bacillus genus 0.0345
Brevundimonas genus 0.00574
Brochothrix genus 3.27
Carnobacterium genus 8.04
Chryseobacterium genus 0.0117
Citrobacter genus 0.133
Companilactobacillus genus 17.1
Corynebacteriaceae family 0.00126
Corynebacterium genus 0.0333
Dellaglioa genus 0.123
Empedobacter genus 0.0377
Enhydrobacter genus 0.00253
Enterobacter genus 1.47
Enterobacterales order 0.00269
Enterobacteriaceae family 0.233
Enterococcus genus 1.13
Erwiniaceae family 0.0264
Eukaryota superkingdom 0.0676
Flavobacterium genus 0.00253
Floricoccus genus 0.0368
Glutamicibacter genus 0.00707
Kocuria genus 0.0299
Kosakonia genus 0.0339
Kurthia genus 0.0218
Lactiplantibacillus genus 25.9
Lactobacillaceae family 0.0216
Lactobacillales order 0.0195
Lactococcus genus 0.494
Latilactobacillus genus 50.1
Lelliottia genus 0.511
Leuconostoc genus 0.481
Levilactobacillus genus 0.196
Ligilactobacillus genus 0.167
Loigolactobacillus genus 0.0068
Macrococcus genus 0.523
Morganella genus 0.00471
Pediococcus genus 0.0313
Photobacterium genus 0.0537
Pluralibacter genus 0.0224
Pseudoalteromonas genus 0.00345
Psychrobacter genus 0.163
Rothia genus 0.0169
Serratia genus 0.442
Staphylococcaceae family 0.672
Staphylococcus genus 2.79
Streptococcus genus 0.00558
Telluria genus 0.00115
Thermomonas genus 0.0023
Vagococcus genus 0.206
Vibrio genus 0.0653
Weeksellaceae family 0.00379
Weissella genus 0.196
Yersinia genus 0.764
Yersiniaceae family 0.5

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.

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