Back

Genome-wide identification of genetic requirements of Pseudomonas aeruginosa PAO1 for rat cardiomyocyte (H9C2) infection by insertion sequencing

Ranjani, J.; Sivakumar, R.; Gunasekaran, P.; Rajendhran, J.

2021-03-03 microbiology
10.1101/2021.03.03.433694 bioRxiv
Show abstract

Pseudomonas aeruginosa is the major infectious agent among Gram-negative bacteria which causes both acute and chronic infections without any tissue specificity. Infections due to P. aeruginosa are hard to treat, as it entails various strategies like virulence factors synthesis, drug efflux systems & resistance and protein secretion systems during pathogenesis. Despite extensive research in Pseudomonas pathogenesis, novel drug targets and potential therapeutic strategies are inevitable. In this study, we investigated the genetic requirements of P.aeruginosa PAO1 for rat cardiomyocyte (H9C2) infection by insertion sequencing (INSeq). A mutant library comprising ~70,000 mutants of PAO1 was generated and the differentiated form of H9C2 cells (d-H9C2) was infected with the library. The infected d-H9C2 cells were maintained with antibiotic-protection and without any antibiotics in the growth media for 24 h. Subsequently, DNA library for INSeq was prepared, sequenced and fitness analysis was performed. A-One hundred and thirteen mutants were negatively selected in the infection condition with antibiotic-protection, whereas 143 mutants were negatively selected in antibiotic-free condition. Surprisingly, a higher number of mutants showed enriched fitness than the mutants of reduced fitness during the infection. We demonstrated that the genes associated with flagella and T3SS are important for adhesion and invasion of cardiomyocytes, while pili and proteases are conditionally essential during host cell lysis. Take away{checkmark} Fitness of P.aeruginosa mutants were analyzed during cardiomyocyte infection {checkmark}Genes involve amino acid transport & metabolism and signal transduction are important during intracellular lifestyle {checkmark}OMVs play a crucial role during infection and pathogenesis {checkmark}Flagella and T3SS are conditionally essential for adhesion and invasion, whereas pili and proteases are conditionally essential during host cell lysis

Matching journals

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

1
Frontiers in Microbiology
427 papers in training set
Top 0.1%
19.1%
2
Microbiology Spectrum
469 papers in training set
Top 0.8%
10.1%
3
Frontiers in Cellular and Infection Microbiology
109 papers in training set
Top 0.1%
8.2%
4
Microbiological Research
22 papers in training set
Top 0.1%
7.5%
5
Scientific Reports
3612 papers in training set
Top 25%
4.2%
6
Microorganisms
106 papers in training set
Top 0.5%
3.4%
50% of probability mass above
7
Genomics
64 papers in training set
Top 0.4%
2.7%
8
Microbial Pathogenesis
17 papers in training set
Top 0.1%
2.7%
9
Current Microbiology
18 papers in training set
Top 0.2%
2.5%
10
Environmental Microbiology
133 papers in training set
Top 1%
2.5%
11
mSystems
394 papers in training set
Top 4%
2.2%
12
Applied and Environmental Microbiology
339 papers in training set
Top 3%
1.7%
13
FEMS Microbiology Letters
17 papers in training set
Top 0.1%
1.6%
14
Virulence
25 papers in training set
Top 0.4%
1.5%
15
Journal of Bacteriology
212 papers in training set
Top 2%
1.4%
16
MicrobiologyOpen
24 papers in training set
Top 0.4%
1.1%
17
eLife
5828 papers in training set
Top 60%
1.1%
18
microLife
22 papers in training set
Top 0.4%
1.1%
19
mSphere
302 papers in training set
Top 6%
1.0%
20
International Journal of Molecular Sciences
494 papers in training set
Top 13%
1.0%
21
BMC Genomics
406 papers in training set
Top 7%
1.0%
22
Journal of Medical Microbiology
25 papers in training set
Top 0.7%
0.9%
23
PLOS ONE
5266 papers in training set
Top 60%
0.9%
24
Microbial Biotechnology
34 papers in training set
Top 0.9%
0.9%
25
PLOS Pathogens
820 papers in training set
Top 9%
0.9%
26
Antibiotics
34 papers in training set
Top 0.9%
0.9%
27
Environmental Pollution
37 papers in training set
Top 1%
0.9%
28
PLOS Genetics
862 papers in training set
Top 11%
0.9%
29
Journal of Cellular Biochemistry
11 papers in training set
Top 0.3%
0.6%
30
iScience
1154 papers in training set
Top 38%
0.6%