Greek style fermented table olives, Table Olives Kalamata

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
Acetobacteraceae family 0.0415
Afipia massiliensis species 0.00844
Agrilactobacillus genus 0.0822
Agrococcus genus 0.0647
Akkermansia muciniphila species 0.00922
Alphaproteobacteria class 0.0818
Altererythrobacter genus 0.0599
Aminobacter genus 0.0607
Anaeromyxobacter genus 0.00844
Aquincola genus 0.0028
Aureimonas genus 0.599
Aureimonas altamirensis species 0.0988
Azospirillaceae family 0.948
Azospirillum genus 1.08
Bacillaceae family 0.0336
Bdellovibrio genus 0.347
Beijerinckiaceae family 4.66
Belnapia genus 0.1
Blastococcus genus 0.369
Blastococcus aggregatus species 0.536
Blastococcus saxobsidens species 0.0619
Blastomonas genus 0.575
Blautia genus 0.00563
Bosea genus 0.0394
Brevundimonas genus 2.07
Caedibacter genus 0.00841
Candidatus Campbellbacteria phylum 0.149
Candidatus Paracaedibacter genus 0.0042
Candidatus Peribacteria class 0.0583
Caulobacter genus 0.235
Caulobacteraceae family 0.183
Celerinatantimonas genus 0.0715
Comamonadaceae family 0.0953
Corynebacterium lipophiloflavum species 0.023
Cutibacterium genus 0.109
Devosia genus 0.152
Devosia submarina species 0.207
Dietzia genus 0.023
Dongia genus 0.0995
Enhydrobacter genus 0.00632
Fimbriimonadaceae family 0.122
Flavobacterium genus 0.00841
Gaiellales order 0.0311
Hephaestia genus 0.0322
Hyphomicrobiales order 0.00461
Lactobacillaceae family 0.358
Limimonas genus 0.0154
Marmoricola genus 0.0369
Methylocella genus 0.0197
Microbacteriaceae family 0.0238
Microbacterium genus 0.183
Microbacterium marinilacus species 0.513
Microcella alkalica species 0.123
Micrococcaceae family 0.00563
Micrococcus genus 0.158
Microvirga genus 0.3
Microvirga aerilata species 0.49
Mycobacterium genus 0.0169
Nevskiaceae family 0.0126
Nocardioides genus 2.29
Novosphingobium genus 0.031
Novosphingobium sediminicola species 0.035
Pannonibacter genus 0.682
Pannonibacter phragmitetus species 6.52
Paracoccaceae family 0.289
Paracoccus genus 3.45
Patescibacteria group clade 0.0553
Phenylobacterium genus 6.81
Pirellulaceae family 0.0822
Polymorphum genus 0.111
Porphyrobacter genus 0.0292
Pseudomonadota phylum 0.00281
Psychroglaciecola genus 0.83
Qipengyuania genus 0.379
Reyranella genus 0.0112
Rhizobiaceae family 0.0599
Rhodospirillales order 0.694
Rhodovibrio genus 0.0995
Rickettsiaceae family 0.00701
Roseiflexaceae family 0.134
Roseomonas genus 0.42
Roseomonas genus 0.514
Rubellimicrobium genus 5.49
Rubellimicrobium roseum species 0.338
Rubritepida genus 0.536
Salinibacter genus 0.0126
Secundilactobacillus genus 0.00841
Skermanella genus 0.163
Sphingobium genus 0.0154
Sphingomonadaceae family 0.333
Sphingomonas genus 7.71
Sphingomonas humi species 0.269
Sphingomonas koreensis species 0.107
Sphingopyxis genus 0.049
Tepidisphaeraceae family 0.273
Terrimicrobium genus 0.0589

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

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