Back

Bacteroides-driven metabolic remodelling suppresses Clostridioides difficile toxin expression in mixed biofilm communities

Bywater-Brenna, K. K.; Aulakh, S. K.; Patil, K. R.; Nagarajan, N.; Unnikrishnan, M.

2025-09-04 microbiology
10.1101/2025.09.03.674004 bioRxiv
Show abstract

Clostridioides difficile is a major cause of hospital-associated diarrhoea worldwide. The intricate interactions between C. difficile and the resident gut microbiota play a crucial role in determining the outcome of C. difficile infection (CDI), although the molecular mechanisms underlying many C. difficile-commensal interactions are not understood. Here we show that selected Bacteroides species can inhibit C. difficile growth within mixed biofilms. A transcriptomic analysis of C. difficile-Bacteroides biofilms showed significant metabolic shifts, with distinct changes in carbohydrate and amino acid metabolism and, interestingly, a downregulation of C. difficile toxin gene expression. A significant reduction in C. difficile toxin production was evident in C. difficile-Bacteroides cocultures, irrespective of the extent of C. difficile growth inhibition. Notably, Stickland fermentation of proline, which is known to repress toxin synthesis, was upregulated in C. difficile, while proline synthesis was induced in the cocultured species B. vulgatus and B. dorei. Furthermore, upregulation of proline reductase pathways and consequent toxin repression were evident within a synthetic 9-species gut commensal biofilm community containing multiple Bacteroides spp. Thus, leveraging multiomics approaches, we demonstrate a potential cross-feeding mechanism where proline produced by B. dorei and B. vulgatus is utilised by C. difficile through Stickland fermentation to drive toxin repression. Our study reveals a new mechanism of microbiota-mediated control of a key virulence factor involved in C. difficile pathogenesis while enabling pathogen co-existence within a polymicrobial commensal community. ImportanceC. difficile infection, characterised by severe diarrhoea and colitis, has a significant impact on healthcare settings globally due to the high rates of recurrence. CDI is closely associated with the gut microbiota status and the use of antibiotics, yet the mechanistic basis of interactions between the causative bacterium C. difficile and individual gut commensal species remains poorly defined. Here, we demonstrate inhibitory effects of Bacteroides species on C. difficile through nutrient competition and a cross-feeding mechanism between these abundant gut commensals and this pathogen which blocks expression of key C. difficile virulence factors. Our findings offer insights into the effective design of microbiota consortia to prevent and treat CDI.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
npj Biofilms and Microbiomes
56 papers in training set
Top 0.1%
37.1%
2
Gut Microbes
70 papers in training set
Top 0.2%
6.3%
3
mBio
750 papers in training set
Top 3%
6.3%
4
mSystems
361 papers in training set
Top 2%
6.3%
50% of probability mass above
5
The ISME Journal
194 papers in training set
Top 0.6%
4.2%
6
mSphere
281 papers in training set
Top 1%
3.9%
7
Nature Communications
4913 papers in training set
Top 37%
3.9%
8
Microbiome
139 papers in training set
Top 1.0%
3.6%
9
PLOS Genetics
756 papers in training set
Top 5%
3.5%
10
PLOS Pathogens
721 papers in training set
Top 4%
3.5%
11
PLOS Biology
408 papers in training set
Top 7%
2.0%
12
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 33%
1.7%
13
Cell Reports
1338 papers in training set
Top 25%
1.7%
14
Cell Host & Microbe
113 papers in training set
Top 3%
1.6%
15
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 5%
0.9%
16
Molecular Microbiology
66 papers in training set
Top 0.8%
0.9%
17
Science Advances
1098 papers in training set
Top 28%
0.8%
18
Frontiers in Microbiology
375 papers in training set
Top 9%
0.8%
19
iScience
1063 papers in training set
Top 30%
0.8%
20
eLife
5422 papers in training set
Top 56%
0.8%
21
Microbial Biotechnology
29 papers in training set
Top 0.8%
0.8%
22
Nature Microbiology
133 papers in training set
Top 4%
0.8%
23
Cells
232 papers in training set
Top 7%
0.7%
24
Environmental Microbiology
119 papers in training set
Top 3%
0.7%
25
Cell Reports Medicine
140 papers in training set
Top 10%
0.6%