Back

Iron Metabolism and Adaptative Traits Associated with Virulence in Enterobacter cloacae Complex

Bugase, E. W.; Senbadejo, T. Y.; Amenga-Etego, L.; Isawumi, A.

2026-07-10 microbiology
10.64898/2026.07.09.737523 bioRxiv
Show abstract

Iron is an essential micronutrient that shapes host-pathogen interactions during infection. However, the contribution of iron to the virulence adaptation of the Enterobacter cloacae complex (ECC) remain poorly characterized. This study profiled the effects of iron on E. roggenkampii and E. asburiae clinical isolates. Growth kinetics were assessed in Luria-Bertani broth supplemented with varying iron concentrations and 5% sheep blood, and EDTA. Recovered strains were used for motility and antibiotic susceptibility assays. Phenotypic virulence trait of iron-naive and iron-recovered strains was determined using biofilm formation assays. Whole-genome sequencing was conducted to identify genetic determinants associated with iron acquisition and metabolism. Presence of iron increased bacterial growth, reduced antibiotic susceptibility, and enhanced biofilm formation. At higher iron concentrations, iron-recovered strains exhibited increased biofilm biomass, while there was a high biofilm formation with iron-naive strains at lower iron levels. Genomic analysis identified genes associated with ferrous and ferric iron transport, heme uptake, siderophore biosynthesis, and virulence-related functions, including adhesion and biofilm formation. These findings demonstrate that iron availability and prior exposure modulate ECC physiology and phenotypic traits associated with virulence, supporting a role for iron in shaping adaptive pathogenic potential. Graphical AbstractThe influence of iron metabolism on virulence adaptation of Enterobacter cloacae complex O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/737523v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@aa351eorg.highwire.dtl.DTLVardef@855345org.highwire.dtl.DTLVardef@11e0da5org.highwire.dtl.DTLVardef@11f851_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
Frontiers in Microbiology
427 papers in training set
Top 1%
7.8%
2
Applied and Environmental Microbiology
339 papers in training set
Top 0.9%
7.8%
3
Microbiology Spectrum
469 papers in training set
Top 2%
7.2%
4
mSystems
394 papers in training set
Top 1%
6.7%
5
BMC Microbiology
49 papers in training set
Top 0.1%
6.7%
6
mSphere
302 papers in training set
Top 1%
4.8%
7
Microbial Genomics
225 papers in training set
Top 1%
3.1%
8
Microbiology
65 papers in training set
Top 0.4%
2.8%
9
Microbiological Research
22 papers in training set
Top 0.1%
2.7%
10
ISME Communications
120 papers in training set
Top 1.0%
2.6%
50% of probability mass above
11
Environmental Microbiology Reports
31 papers in training set
Top 0.2%
2.4%
12
MicrobiologyOpen
24 papers in training set
Top 0.1%
2.4%
13
Scientific Reports
3612 papers in training set
Top 48%
2.1%
14
PLOS ONE
5266 papers in training set
Top 45%
2.1%
15
microLife
22 papers in training set
Top 0.1%
2.0%
16
Environmental Microbiology
133 papers in training set
Top 2%
1.9%
17
Infection and Immunity
120 papers in training set
Top 1%
1.7%
18
mBio
833 papers in training set
Top 8%
1.7%
19
Microorganisms
106 papers in training set
Top 2%
1.5%
20
BMC Genomics
406 papers in training set
Top 6%
1.3%
21
Nature Communications
5641 papers in training set
Top 49%
1.3%
22
Journal of Bacteriology
212 papers in training set
Top 2%
1.3%
23
Frontiers in Cellular and Infection Microbiology
109 papers in training set
Top 2%
1.1%
24
Antibiotics
34 papers in training set
Top 0.8%
1.1%
25
PLOS Pathogens
820 papers in training set
Top 8%
1.1%
26
Microbial Ecology
29 papers in training set
Top 0.6%
1.0%
27
International Journal of Systematic and Evolutionary Microbiology
14 papers in training set
Top 0.2%
0.9%
28
Virulence
25 papers in training set
Top 0.6%
0.9%
29
Microbial Pathogenesis
17 papers in training set
Top 0.4%
0.8%
30
Journal of Applied Microbiology
20 papers in training set
Top 0.8%
0.8%