Back

Stearic acid enhances membrane fluidization and peptidoglycan stiffness to promote the stability of Gram-positive bacteria

Parthasarathi, S.; Joshi, S. J.; Basu, J. K.; Vaiwala, R.; Ayappa, K. G.; Wasker, M.; Kumaran, S.; Dasgupta, A.

2026-03-10 biophysics
10.64898/2026.03.10.710747 bioRxiv
Show abstract

Saturated fatty acids such as stearic acid (SA) can exhibit both antimicrobial and growth-promoting effects on bacteria, depending on their concentration and chemical structure. However, the physical properties of the bacterial cell envelope in response to such molecules remain under-explored compared to their biochemical pathways. In this study, a comprehensive investigation is presented on the interaction of SA with the Gram-positive bacterium, Staphylococcus epider-midis (S. epi). SA alters bacterial growth, reflected in a higher maximum specific growth rate, a shorter lag phase, and an extended exponential phase, consistent with a prebiotic effect. Using fluorescence correlation spectroscopy and fluorescence lifetime imaging microscopy, we show that SA incorporation leads to significant fluidization of the lipid membrane, characterized by enhanced lateral diffusion and reduced membrane viscosity. Coarse-grained molecular dynamics (CG-MD) simulations demonstrate spontaneous insertion of SA into the membrane and a significant increase in mean-square displacement after insertion, supporting our experimental observations. Importantly, atomic force microscopy measurements show an increase in cell-envelope stiffness, reflected by a higher Youngs modulus which can be attributed to modulations in the glycan-peptide linkage density based on earlier studies that correlate stiffness changes to peptidoglycan (PG) crosslinking in Gram-positive strains [1]. These results provide direct evidence linking membrane fluidization induced by SA and increased cell wall stiffness due to transport modifications in the membrane mediated PG synthesis pathways to enhance bacterial cell viability.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
Langmuir
31 papers in training set
Top 0.1%
10.3%
2
Biophysical Journal
545 papers in training set
Top 0.6%
8.4%
3
The Journal of Physical Chemistry B
158 papers in training set
Top 0.2%
7.3%
4
Biochimica et Biophysica Acta (BBA) - Biomembranes
30 papers in training set
Top 0.1%
6.5%
5
Soft Matter
50 papers in training set
Top 0.1%
3.7%
6
International Journal of Molecular Sciences
453 papers in training set
Top 4%
2.8%
7
Scientific Reports
3102 papers in training set
Top 43%
2.8%
8
Journal of Colloid and Interface Science
12 papers in training set
Top 0.1%
2.7%
9
Chemical Science
71 papers in training set
Top 0.6%
2.4%
10
Journal of Chemical Information and Modeling
207 papers in training set
Top 2%
1.9%
11
PLOS ONE
4510 papers in training set
Top 50%
1.9%
50% of probability mass above
12
Biochimica et Biophysica Acta (BBA) - General Subjects
16 papers in training set
Top 0.1%
1.9%
13
ACS Infectious Diseases
74 papers in training set
Top 0.5%
1.8%
14
ACS Biomaterials Science & Engineering
37 papers in training set
Top 0.5%
1.7%
15
Frontiers in Molecular Biosciences
100 papers in training set
Top 2%
1.7%
16
Physical Chemistry Chemical Physics
34 papers in training set
Top 0.3%
1.5%
17
The Journal of Physical Chemistry Letters
58 papers in training set
Top 0.9%
1.5%
18
ACS Omega
90 papers in training set
Top 2%
1.4%
19
Nanoscale
39 papers in training set
Top 0.2%
1.4%
20
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 5%
1.4%
21
Nanoscale Advances
13 papers in training set
Top 0.3%
1.3%
22
Frontiers in Microbiology
375 papers in training set
Top 7%
1.1%
23
ChemBioChem
50 papers in training set
Top 0.9%
1.0%
24
Nano Letters
63 papers in training set
Top 2%
1.0%
25
Physical Biology
43 papers in training set
Top 2%
0.9%
26
Small
70 papers in training set
Top 0.9%
0.9%
27
Communications Chemistry
39 papers in training set
Top 0.7%
0.9%
28
Biophysical Reports
36 papers in training set
Top 0.4%
0.8%
29
PLOS Computational Biology
1633 papers in training set
Top 23%
0.8%
30
Biomacromolecules
25 papers in training set
Top 0.3%
0.8%