» Articles » PMID: 34693621

Negative Interactions Determine Clostridioides Difficile Growth in Synthetic Human Gut Communities

Overview
Journal Mol Syst Biol
Specialty Molecular Biology
Date 2021 Oct 25
PMID 34693621
Citations 24
Authors
Affiliations
Soon will be listed here.
Abstract

Understanding the principles of colonization resistance of the gut microbiome to the pathogen Clostridioides difficile will enable the design of defined bacterial therapeutics. We investigate the ecological principles of community resistance to C. difficile using a synthetic human gut microbiome. Using a dynamic computational model, we demonstrate that C. difficile receives the largest number and magnitude of incoming negative interactions. Our results show that C. difficile is in a unique class of species that display a strong negative dependence between growth and species richness. We identify molecular mechanisms of inhibition including acidification of the environment and competition over resources. We demonstrate that Clostridium hiranonis strongly inhibits C. difficile partially via resource competition. Increasing the initial density of C. difficile can increase its abundance in the assembled community, but community context determines the maximum achievable C. difficile abundance. Our work suggests that the C. difficile inhibitory potential of defined bacterial therapeutics can be optimized by designing communities featuring a combination of mechanisms including species richness, environment acidification, and resource competition.

Citing Articles

A data-driven modeling framework for mapping genotypes to synthetic microbial community functions.

Qian Y, Menon S, Quinn-Bohmann N, Gibbons S, Venturelli O bioRxiv. 2025; .

PMID: 39803481 PMC: 11722394. DOI: 10.1101/2025.01.04.631316.


Collective dynamical regimes predict invasion success and impacts in microbial communities.

Hu J, Barbier M, Bunin G, Gore J Nat Ecol Evol. 2025; 9(3):406-416.

PMID: 39762572 PMC: 11893462. DOI: 10.1038/s41559-024-02618-y.


Phocaeicola vulgatus shapes the long-term growth dynamics and evolutionary adaptations of Clostridioides difficile.

Sulaiman J, Thompson J, Cheung P, Qian Y, Mill J, James I Cell Host Microbe. 2024; 33(1):42-58.e10.

PMID: 39730002 PMC: 11852276. DOI: 10.1016/j.chom.2024.12.001.


Elucidating human gut microbiota interactions that robustly inhibit diverse Clostridioides difficile strains across different nutrient landscapes.

Sulaiman J, Thompson J, Qian Y, Vivas E, Diener C, Gibbons S Nat Commun. 2024; 15(1):7416.

PMID: 39198411 PMC: 11358386. DOI: 10.1038/s41467-024-51062-w.


Human gut microbiota interactions shape the long-term growth dynamics and evolutionary adaptations of .

Sulaiman J, Thompson J, Cheung P, Qian Y, Mill J, James I bioRxiv. 2024; .

PMID: 39071283 PMC: 11275832. DOI: 10.1101/2024.07.15.603560.


References
1.
Wetzel D, McBride S . The Impact of pH on Clostridioides difficile Sporulation and Physiology. Appl Environ Microbiol. 2019; 86(4). PMC: 6997743. DOI: 10.1128/AEM.02706-19. View

2.
Wang Q, Garrity G, Tiedje J, Cole J . Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007; 73(16):5261-7. PMC: 1950982. DOI: 10.1128/AEM.00062-07. View

3.
Anderwald C, Gastaldelli A, Tura A, Krebs M, Promintzer-Schifferl M, Kautzky-Willer A . Mechanism and effects of glucose absorption during an oral glucose tolerance test among females and males. J Clin Endocrinol Metab. 2010; 96(2):515-24. DOI: 10.1210/jc.2010-1398. View

4.
Ghimire S, Roy C, Wongkuna S, Antony L, Maji A, Keena M . Identification of Clostridioides difficile-Inhibiting Gut Commensals Using Culturomics, Phenotyping, and Combinatorial Community Assembly. mSystems. 2020; 5(1). PMC: 7002114. DOI: 10.1128/mSystems.00620-19. View

5.
Koziolek M, Grimm M, Becker D, Iordanov V, Zou H, Shimizu J . Investigation of pH and Temperature Profiles in the GI Tract of Fasted Human Subjects Using the Intellicap(®) System. J Pharm Sci. 2014; 104(9):2855-63. DOI: 10.1002/jps.24274. View