Species in microbiome labs/ megasporebiotic

  1. bacillus clausii
  2. bacillus coagulans
  3. bacillus indicus
  4. bacillus licheniformis
  5. bacillus subtilis

Infer Impacts microbiome labs/ megasporebiotic on Symptoms

Probiotic:
Symptom:

Not sufficient information to infer impact

Bacteria Impacts of microbiome labs/ megasporebiotic

If you find any studies of this specific probiotic impacting other bacteria, please email ken/at/lassesen.com with the URI

Genus Level Only Listed
BacteriaIncrease %Decrease %
Acetanaerobacterium 100 0
Acetatifactor 50 50
Acetitomaculum 50 50
Acetivibrio 100 0
Acetobacteroides 0 100
Aeribacillus 100 0
Aeriscardovia 100 0
Agathobacter 50 50
Agathobaculum 100 0
Akkermansia 100 0
Alistipes 71 28
Alkalibacillus 100 0
Alkaliphilus 33 66
Allisonella 100 0
Alloprevotella 0 100
Alloscardovia 100 0
Alteribacillus 100 0
Amphibacillus 100 0
Anaerobacillus 100 0
Anaerobacter 33 66
Anaerobium 50 50
Anaerobutyricum 50 50
Anaerocella 0 100
Anaerocolumna 50 50
Anaerofilum 100 0
Anaeroglobus 100 0
Anaeromassilibacillus 100 0
Anaerorhabdus 100 0
Anaerosporobacter 50 50
Anaerostipes 50 50
Anaerotaenia 50 50
Anaerotignum 50 50
Anaerotruncus 100 0
Angelakisella 100 0
Anoxybacillus 100 0
Anoxynatronum 33 66
Aquisalibacillus 100 0
Arthromitus 33 66
Asteroleplasma 100 0
Asticcacaulis 100 0
Atlantibacter 0 100
Auricoccus 100 0
Bacillus 100 0
Bacteroides 50 50
Beduini 33 66
Bifidobacterium 100 0
Bilophila 100 0
Biostraticola 0 100
Bittarella 100 0
Blautia 50 50
Bombiscardovia 100 0
Brassicibacter 33 66
Brevifollis 100 0
Brevundimonas 100 0
Burkholderia 100 0
Buttiauxella 0 100
Butyricicoccus 66 33
Butyrivibrio 50 50
Caldalkalibacillus 100 0
Caldisalinibacter 33 66
Calditerricola 100 0
Caloramator 33 66
Calothrix 0 100
Caminicella 33 66
Campylobacter 0 100
Caproiciproducens 100 0
Catabacter 100 0
Catonella 50 50
Caulobacter 100 0
Cedecea 0 100
Cellulosilyticum 50 50
Christensenella 100 0
Citrobacter 0 100
Cloacibacillus 0 100
Clostridiisalibacter 33 66
Clostridium 25 75
Collinsella 100 0
Coprococcus 60 40
Cronobacter 0 100
Cupriavidus 100 0
Dehalobacterium 0 100
Desulfobaculum 100 0
Desulfocurvibacter 100 0
Desulfocurvus 100 0
Desulfohalovibrio 100 0
Desulfovibrio 50 50
Dialister 100 0
Dorea 66 33
Eisenbergiella 50 50
Enterobacter 50 50
Enterococcus 100 0
Escherichia 0 100
Ethanoligenens 100 0
Eubacterium 100 0
Faecalibacterium 100 0
Faecalicatena 50 50
Falcatimonas 33 66
Falsiporphyromonas 100 0
Fermentimonas 100 0
Fervidicella 33 66
Fibrobacter 100 0
Fictibacillus 100 0
Flavonifractor 100 0
Fonticella 33 66
Fournierella 100 0
Franconibacter 0 100
Fucophilus 100 0
Fusicatenibacter 50 50
Fusobacterium 0 100
Gabonibacter 100 0
Gardnerella 100 0
Gemmiger 100 0
Geobacillus 100 0
Geosporobacter 33 66
Gibbsiella 0 100
Gorbachella 100 0
Gracilibacillus 100 0
Halobacillus 100 0
Halodesulfovibrio 100 0
Haloferula 100 0
Halolactibacillus 100 0
Hathewaya 33 66
Herbinix 50 50
Hespellia 50 50
Hungatella 33 66
Hydrogenibacillus 100 0
Hydrogenoanaerobacterium 100 0
Ishikawaella 0 100
Izimaplasma 100 0
Jeotgalicoccus 100 0
Johnsonella 50 50
Keratinibaculum 33 66
Klebsiella 0 100
Kluyvera 0 100
Kosakonia 0 100
Lachnoanaerobaculum 50 50
Lachnobacterium 50 50
Lachnoclostridium 66 33
Lachnospira 50 50
Lachnotalea 50 50
Lactobacillus 63 36
Lactonifactor 33 66
Lawsonia 100 0
Leclercia 0 100
Lelliottia 0 100
Lentibacillus 100 0
Leucobacter 100 0
Limnobaculum 0 100
Luteolibacter 100 0
Lutispora 33 66
Lysinibacillus 100 0
Macrococcus 100 0
Maledivibacter 33 66
Mangrovibacter 0 100
Marinococcus 100 0
Marvinbryantia 50 50
Massilioclostridium 33 66
Mediterranea 100 0
Megamonas 100 0
Megasphaera 100 0
Melghiribacillus 100 0
Merdimonas 50 50
Metabacillus 100 0
Metakosakonia 0 100
Microaerobacter 100 0
Microbacter 100 0
Mobilitalea 50 50
Moranella 0 100
Mordavella 33 66
Moryella 50 50
Mucinivorans 0 100
Murimonas 50 50
Natribacillus 100 0
Natronincola 33 66
Negativibacillus 100 0
Negativicoccus 100 0
Neglecta 100 0
Neoscardovia 100 0
Nosocomiicoccus 100 0
Oceanirhabdus 33 66
Oceanobacillus 100 0
Odoribacter 66 33
Oribacterium 50 50
Oscillospira 100 0
Oxobacter 33 66
Papillibacter 100 0
Parabacteroides 0 100
Parageobacillus 100 0
Paraliobacillus 100 0
Parascardovia 100 0
Parasporobacterium 50 50
Parasutterella 0 100
Pediococcus 100 0
Persicirhabdus 100 0
Petrimonas 100 0
Phenylobacterium 100 0
Phlomobacter 0 100
Phocea 100 0
Pluralibacter 0 100
Pontibacillus 100 0
Porphyromonas 100 0
Prevotella 100 0
Prosthecobacter 100 0
Proteiniclasticum 33 66
Pseudescherichia 0 100
Pseudobutyrivibrio 50 50
Pseudodesulfovibrio 100 0
Pseudoflavonifractor 100 0
Pseudomonas 100 0
Pseudoscardovia 100 0
Psychrobacillus 100 0
Pyramidobacter 0 100
Quasibacillus 100 0
Raoultella 0 100
Regiella 0 100
Rikenella 0 100
Robinsoniella 50 50
Roseburia 50 50
Roseimicrobium 100 0
Rosenbergiella 0 100
Ruminiclostridium 50 50
Ruminococcus 100 0
Ruthenibacterium 100 0
Salibacterium 100 0
Salimicrobium 100 0
Salinibacillus 100 0
Salinicoccus 100 0
Salmonella 0 100
Sanguibacteroides 100 0
Sarcina 33 66
Scardovia 100 0
Sediminibacillus 100 0
Sellimonas 50 50
Sharpea 100 0
Shigella 0 100
Shimwellia 0 100
Shuttleworthia 50 50
Siccibacter 0 100
Sinibacillus 100 0
Soleaferrea 100 0
Sporobacter 100 0
Sporobacterium 50 50
Sporosalibacterium 33 66
Sporosarcina 100 0
Staphylococcus 50 50
Stomatobaculum 50 50
Streptohalobacillus 100 0
Subdoligranulum 100 0
Succiniclasticum 100 0
Sutterella 0 100
Syntrophococcus 50 50
Tenuibacillus 100 0
Tepidibacillus 100 0
Terribacillus 100 0
Texcoconibacillus 100 0
Thermohalobacter 33 66
Thermolongibacillus 100 0
Thermus 100 0
Tindallia 33 66
Trabulsiella 0 100
Tyzzerella 50 50
Vampirovibrio 0 100
Veillonella 100 0
Verrucomicrobium 100 0
Victivallis 100 0
Virgibacillus 100 0
Vulcanibacillus 100 0
Yokenella 0 100
Youngiibacter 33 66

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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