Back

Gas-phase environment activates an alternative catabolic route in toluene-degrading Acinetobacter

Inoue, S.; Yoshimoto, S.; Hattori, M.; Nakanishi, H.; Ohara, Y.; Hori, K.

2026-03-27 microbiology
10.64898/2026.03.27.714732 bioRxiv
Show abstract

Volatile aromatic compounds are important industrial feedstocks but also major environmental pollutants, highlighting the need for bioprocesses for their removal and valorization. Although gas-phase bioprocesses offer practical advantages for handling poorly water-soluble and highly volatile substrates, how gas-phase environments alter microbial metabolism remains poorly understood. Here, we investigated the effect of gas-phase conditions on toluene metabolism in the highly adhesive aromatic hydrocarbon-degrading bacterium Acinetobacter sp. Tol 5. A mutant lacking todC1, which encodes an essential component of the toluene dioxygenase, failed to grow on toluene in liquid culture but retained the ability to grow on solid media under a toluene atmosphere. Consistent with this phenotype, the mutant showed no detectable toluene degradation in the liquid phase, whereas it degraded toluene under gas-phase conditions after a prolonged lag phase. Gas chromatography-mass spectrometry (GC-MS) analysis revealed the accumulation of o-cresol and p-cresol specifically in the mutant under toluene vapor, indicating that toluene metabolism had shifted to an alternative route involving cresol intermediates. In addition, transcriptome analysis identified strong induction of the mph operon encoding phenol monooxygenase (PMO), suggesting that PMO is a likely candidate enzyme mediating TDO-independent toluene oxidation under gas-phase conditions. Together, these results demonstrate that the gas-phase environment can activate an alternative catabolic route in Tol 5 that is not active during conventional liquid cultivation. Our findings highlight the importance of direct metabolic analysis under gas-phase conditions for understanding and designing bioprocesses using highly volatile substrates.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Applied and Environmental Microbiology
301 papers in training set
Top 0.1%
14.5%
2
Environmental Science & Technology
64 papers in training set
Top 0.2%
14.1%
3
mSystems
361 papers in training set
Top 1%
6.7%
4
Frontiers in Microbiology
375 papers in training set
Top 1%
6.7%
5
mBio
750 papers in training set
Top 3%
6.3%
6
Environmental Microbiology
119 papers in training set
Top 0.4%
6.2%
50% of probability mass above
7
Water Research
74 papers in training set
Top 0.4%
6.2%
8
ISME Communications
103 papers in training set
Top 0.7%
3.0%
9
mSphere
281 papers in training set
Top 2%
3.0%
10
Microbial Biotechnology
29 papers in training set
Top 0.2%
2.6%
11
Environmental Microbiology Reports
27 papers in training set
Top 0.2%
1.9%
12
npj Biofilms and Microbiomes
56 papers in training set
Top 1%
1.7%
13
The ISME Journal
194 papers in training set
Top 1%
1.6%
14
Scientific Reports
3102 papers in training set
Top 63%
1.5%
15
Nature Communications
4913 papers in training set
Top 55%
1.3%
16
FEMS Microbes
14 papers in training set
Top 0.2%
1.3%
17
Environmental Pollution
35 papers in training set
Top 2%
1.3%
18
Microbiome
139 papers in training set
Top 2%
1.3%
19
ACS Synthetic Biology
256 papers in training set
Top 2%
1.2%
20
Microbiology Spectrum
435 papers in training set
Top 4%
0.9%
21
Science of The Total Environment
179 papers in training set
Top 4%
0.9%
22
Bioresource Technology
11 papers in training set
Top 0.4%
0.8%
23
PLOS ONE
4510 papers in training set
Top 69%
0.7%
24
Microbiological Research
19 papers in training set
Top 0.8%
0.7%
25
International Journal of Food Microbiology
11 papers in training set
Top 0.7%
0.7%
26
Journal of Agricultural and Food Chemistry
14 papers in training set
Top 2%
0.6%