Mawe from maize fermented 48h, Benin

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
[Clostridium] innocuum species 0.0147
[Ruminococcus] torques species 0.0549
Acetobacter genus 3.2
Acinetobacter genus 0.0442
Adlercreutzia equolifaciens species 0.0067
Anaerobutyricum hallii species 0.193
Anaerostipes hadrus species 0.0697
Aneurinibacillus genus 0.0188
Bacillaceae family 0.0214
Bacillus genus 0.578
Bacteroides genus 0.0616
Bacteroides uniformis species 0.0429
Bifidobacteriaceae family 0.0831
Bifidobacterium genus 0.36
Bifidobacterium bifidum species 0.0147
Blautia genus 0.173
Blautia faecis species 0.0201
Blautia massiliensis (ex Durand et al. 2017) species 0.0134
Blautia obeum species 0.0161
Brevibacillus genus 0.0871
Butyricicoccus faecihominis species 0.00938
Chitinophagaceae family 0.00268
Colidextribacter genus 0.0308
Collinsella aerofaciens species 0.279
Comamonadaceae family 0.00938
Companilactobacillus genus 0.00804
Coprococcus catus species 0.158
Coprococcus comes species 0.243
Dialister genus 0.197
Dorea formicigenerans species 0.0107
Dorea longicatena species 0.233
Enterobacteriaceae family 0.0121
Enterococcus genus 0.0496
Eubacterium coprostanoligenes species 0.00268
Faecalibacterium genus 0.067
Frateuria genus 0.0067
Fructilactobacillus genus 0.0107
Fusicatenibacter saccharivorans species 0.0147
Gluconobacter genus 0.0067
Holdemania genus 0.0067
Intestinibacter bartlettii species 0.0147
Klebsiella genus 0.0536
Kurthia genus 0.063
Lachnospiraceae family 0.0268
Lacticaseibacillus genus 0.741
Lactiplantibacillus genus 0.13
Lactobacillaceae family 0.528
Lactobacillales order 0.0616
Lactobacillus genus 59.7
Lactococcus genus 0.0348
Leuconostoc genus 0.125
Ligilactobacillus genus 0.111
Limosilactobacillus genus 12.2
Loigolactobacillus genus 0.0737
Microbacteriaceae family 0.0335
Negativibacillus genus 0.00402
Novosphingobium genus 0.00402
Paenibacillus cookii species 0.075
Parabacteroides distasonis species 0.00804
Parabacteroides merdae species 0.00402
Parasutterella excrementihominis species 0.0281
Pediococcus genus 0.159
Phascolarctobacterium faecium species 0.0188
Phocaeicola vulgatus species 0.0442
Prevotellaceae family 0.0469
Romboutsia genus 0.0402
Roseburia genus 0.0134
Roseburia inulinivorans species 0.0067
Rothia terrae species 0.0603
Rummeliibacillus pycnus species 0.00938
Schleiferilactobacillus genus 0.0134
Segatella copri species 0.0268
Selenomonadaceae family 0.00402
Senegalimassilia anaerobia species 0.0322
Sphingomonas genus 0.0067
Sporolactobacillaceae family 0.263
Stenotrophomonas genus 0.00804
Streptococcus genus 2.61
Subdoligranulum genus 0.661
Sutterella wadsworthensis species 0.075
Weissella genus 4.87

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)