Back

Matrix Matters: Context-Driven Metabolic Shifts in Bacillus cereus and Bacillus subtilis

Skriver, E. V.; Canoy, T. S.; Sha, Y.; Rasmussen, M. A.; Khakimov, B.; Knochel, S.; Roder, H. L.

2025-10-06 microbiology
10.1101/2025.10.06.680604 bioRxiv
Show abstract

Spore-forming Bacillus species, including pathogenic Bacillus cereus and spoilage-associated Bacillus subtilis, are major contributors to foodborne illness and product degradation. Understanding their metabolic behaviour in diverse food matrices is essential for improving risk assessment, spoilage prediction, and fermentation control. This study integrates isothermal microcalorimetry and targeted metabolomics to characterize the metabolic activity of B. cereus and B. subtilis in five nutrient sources: Brain Heart Infusion (BHI) medium, oat drink, milk, pea hydrolysate, and a combined oat-pea matrix. Metabolic heat production was monitored for 24 hours at 30{degrees}C. In BHI, B. cereus exhibited a shorter lag phase (mean {+/-} sd: 4.3 hours {+/-} 0.8) than B. subtilis (7.9 hours {+/-} 1.0) but produced less total heat. Across all food matrices, B. subtilis consistently generated more heat. The oat-pea matrix supported the highest calorimetric growth rates, surpassing oat or pea alone, and showed sugar depletion and accumulation of organic acids, indicating enhanced carbohydrate metabolism. Free amino acid release was matrix- and species-specific: B. subtilis had increased levels in oat, while B. cereus did so in pea. While B. cereus was metabolically active in all matrices, cereulide levels were matrix-dependent: 47.3 {+/-} 1.7 ng/mL in oat, 3.0 {+/-} 0.1 ng/mL in oat-pea, and undetectable in pea. These findings reveal clade-specific and matrix-driven metabolic strategies. This is the first study to combine calorimetry and metabolomics to evaluate Bacillus activity in plant-based and dairy matrices. This approach enhances our understanding of microbial physiology in complex food systems and provides a foundation for developing targeted strategies to improve food safety, stability, and product design.

Matching journals

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

1
Applied and Environmental Microbiology
301 papers in training set
Top 0.1%
35.6%
2
mSystems
361 papers in training set
Top 1%
7.1%
3
International Journal of Food Microbiology
11 papers in training set
Top 0.1%
6.6%
4
Frontiers in Microbiology
375 papers in training set
Top 1%
6.6%
50% of probability mass above
5
Environmental Science & Technology
64 papers in training set
Top 0.7%
4.1%
6
npj Biofilms and Microbiomes
56 papers in training set
Top 0.4%
4.1%
7
Microbiology Spectrum
435 papers in training set
Top 1%
2.7%
8
mSphere
281 papers in training set
Top 2%
2.4%
9
PLOS ONE
4510 papers in training set
Top 49%
2.0%
10
Microbial Cell Factories
22 papers in training set
Top 0.2%
1.8%
11
mBio
750 papers in training set
Top 8%
1.5%
12
Scientific Reports
3102 papers in training set
Top 63%
1.4%
13
Food Research International
11 papers in training set
Top 0.2%
1.4%
14
Metabolic Engineering
68 papers in training set
Top 0.5%
1.0%
15
Food & Function
12 papers in training set
Top 0.4%
0.9%
16
ACS Synthetic Biology
256 papers in training set
Top 3%
0.8%
17
Journal of Agricultural and Food Chemistry
14 papers in training set
Top 1%
0.8%
18
Metabolic Engineering Communications
20 papers in training set
Top 0.3%
0.8%
19
Biochemistry
130 papers in training set
Top 2%
0.8%
20
Microbial Biotechnology
29 papers in training set
Top 1%
0.5%
21
Microbiome
139 papers in training set
Top 4%
0.5%
22
Journal of Microbiological Methods
11 papers in training set
Top 0.7%
0.5%
23
Nature Communications
4913 papers in training set
Top 66%
0.5%
24
The Analyst
15 papers in training set
Top 0.7%
0.5%