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Cited by 125Gut microbiota and healthProbiotics and Fermented FoodsMicrobial Metabolic Engineering and Bioproduction

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Anoxic Conditions Promote Species-Specific Mutualism between Gut Microbes In Silico

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Heinken, Almut, Thiele, Ines·2015·Applied and Environmental Microbiology
DOI 10.1128/aem.00101-15PMC PMC4524141
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Abstract

The human gut is inhabited by thousands of microbial species, most of which are still uncharacterized. Gut microbes have adapted to each other's presence as well as to the host and engage in complex cross feeding. Constraint-based modeling has been successfully applied to predicting microbe-microbe interactions, such as commensalism, mutualism, and competition. Here, we apply a constraint-based approach to model pairwise interactions between 11 representative gut microbes. Microbe-microbe interactions were computationally modeled in conjunction with human small intestinal enterocytes, and the microbe pairs were subjected to three diets with various levels of carbohydrate, fat, and protein in normoxic or anoxic environments. Each microbe engaged in species-specific commensal, parasitic, mutualistic, or competitive interactions. For instance, Streptococcus thermophilus efficiently outcompeted microbes with which it was paired, in agreement with the domination of streptococci in the small intestinal microbiota. Under anoxic conditions, the probiotic organism Lactobacillus plantarum displayed mutualistic behavior toward six other species, which, surprisingly, were almost entirely abolished under normoxic conditions. This finding suggests that the anoxic conditions in the large intestine drive mutualistic cross feeding, leading to the evolvement of an ecosystem more complex than that of the small intestinal microbiota. Moreover, we predict that the presence of the small intestinal enterocyte induces competition over host-derived nutrients. The presented framework can readily be expanded to a larger gut microbial community. This modeling approach will be of great value for subsequent studies aiming to predict conditions favoring desirable microbes or suppressing pathogens.

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Metadata

Authors
Heinken, A., & Thiele, I.
Affiliations
University of Luxembourg (LU)
ORCID
Venue
Applied and Environmental Microbiology
Publisher
American Society for Microbiology
Published
2015-06-15
Volume
81
Issue
12
Pages
4049-4061
ISSN
  • 0099-2240 (ISSN-L)
  • 1098-5336
DOI
10.1128/aem.00101-15
PMC
PMC4524141
OpenAlex
W1976253726
Cited by
123
References
61
Citations by year
2026: 3 · 2025: 7 · 2024: 14 · 2023: 8 · 2022: 18 · 2021: 12 · 2020: 10 · 2019: 18 · 2018: 6 · 2017: 12 · 2016: 12 · 2015: 3
FWCI
4.78
Type
journal article
Language
en
Open access
Licence
journals.asm.org/non-commercial-tdm-license (tdm)
Locations
  • Applied and Environmental Microbiology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Open Repository and Bibliography (University of Luxembourg) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
Keywords
gut microbiota, microbial mutualism, anoxia, cross-feeding, constraint-based modeling, Lactobacillus plantarum, Streptococcus thermophilus, enterocytes, diet composition, small intestinal microbiota, large intestine, commensalism, competition (biology), probiotics
MeSH terms
Anaerobiosis, Computer Simulation, Diet, Humans, Oxygen, Species Specificity, Symbiosis, Enterocytes, Gastrointestinal Tract, Streptococcus thermophilus, Microbial Interactions, Microbiota

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