| Literature DB >> 22952665 |
Wentao Guo1, Haihong Hao, Menghong Dai, Yulian Wang, Lingli Huang, Dapeng Peng, Xu Wang, Hailan Wang, Min Yao, Yawei Sun, Zhenli Liu, Zonghui Yuan.
Abstract
Quinoxaline 1, 4-dioxides (QdNOs) has been used in animals as antimicrobial agents and growth promoters for decades. However, the resistance to QdNOs in pathogenic bacteria raises worldwide concern but it is barely known. To explore the molecular mechanism involved in development of QdNOs resistance in Escherichia coli, 6 strains selected by QdNOs in vitro and 21 strains isolated from QdNOs-used swine farm were subjected to MIC determination and PCR amplification of oqxA gene. A conjugative transfer was carried out to evaluate the transfer risk of QdNOs resistant determinant. Furthermore, the transcriptional profile of a QdNOs-resistant E. coli (79O4-2) selected in vitro with its parent strain 79-161 was assayed with a prokaryotic suppression subtractive hybridization (SSH) PCR cDNA subtraction. The result showed that more than 95% (20/21) clinical isolates were oqxA positive, while all the 6 induced QdNOs-resistant strains carried no oqxA gene and exhibited low frequency of conjugation. 44 fragments were identified by SSH PCR subtraction in the QdNOs-resistant strain 79O4-2. 18 cDNAs were involved in biosynthesis of Fe-S cluster (narH), protein (rpoA, trmD, truA, glyS, ileS, rplFCX, rpsH, fusA), lipoate (lipA), lipid A (lpxC), trehalose (otsA), CTP(pyrG) and others molecular. The 11 cDNAs were related to metabolism or degradation of glycolysis (gpmA and pgi) and proteins (clpX, clpA, pepN and fkpB). The atpADG and ubiB genes were associated with ATP biosynthesis and electron transport chain. The pathway of the functional genes revealed that E. coli may adapt the stress generated by QdNOs or develop specific QdNOs-resistance by activation of antioxidative agents biosynthesis (lipoate and trehalose), protein biosynthesis, glycolysis and oxidative phosphorylation. This study initially reveals the possible molecular mechanism involved in the development of QdNOs-resistance in E. coli, providing with novel insights in prediction and assessment of the emergency and horizontal transfer of QdNOs-resistance in E. coli.Entities:
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Year: 2012 PMID: 22952665 PMCID: PMC3429478 DOI: 10.1371/journal.pone.0043322
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Primers used in SSH PCR cDNA subtraction and RT-qPCR.
| Gene | Forward and reverse primer sequences | Melting temperature (°C) | Reference |
| 16S rRNA ( |
| 55.9 |
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| 51 | This study |
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| 60 | This study |
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| 56.7 | This study |
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| 62.0 | This study |
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| 56.9 | This study |
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| 59.1 | This study |
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| 56.4 | This study |
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| 54.8 | This study |
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| 59.1 | This study |
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| 56.9 | This study |
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| 63.5 | This study |
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| 54.0 | This study |
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| 59.1 | This study |
The MICs to 16 antibiotics of the strains selected by two-fold ascended concentrations of olaquinodox or cyadox in vitro.
| strains | MIC to different antibiotics (µg/ml) | |||||||||||||||
| AMP | CTF | GEN | TET | OT | CHL | FFC | TMP | SMZ | FZD | CIP | CS | OLA | MEQ | CAR | CYA | |
| selected by olaquinodox | ||||||||||||||||
| 79O4-1 | 16* | 1 | 0.25 | 64 | 32 | 8 | 8 | 8* | 8 | 8 | 0.031* | 1 | 256 | 128 | 64 | >128 |
| 79O4-2 | 16* | 2* | 0.25 | 64 | 32 | 32 | 32 | 8* | 8 | 8 | 0.031* | 1 | >256 | >128 | 128 | >128 |
| 79O4-3 | 8 | ≤0.5 | 0.5* | 64 | 32 | 8 | 8 | 4* | 8 | 16 | 0.031* | 1 | 256 | 128 | 32 | >128 |
| selected by cyadox | ||||||||||||||||
| 79C4-1 | 2 | ≤0.5 | 0.25 | 32 | 32 | 2 | 2 | 1 | 8 | 8 | 0.015 | 1 | 32 | 32 | 64 | >128 |
| 79C4-2 | 2 | ≤0.5 | 0.25 | 32 | 32 | 4 | 4 | 1 | 8 | 8 | 0.015 | 1 | 16 | 16 | 8 | >128 |
| 79C4-3 | 4 | ≤0.5 | 0.5* | 32 | 32 | 8 | 8 | 1 | 8 | 4 | 0.015 | 1 | 32 | 32 | 64 | >128 |
| Growth control strain | ||||||||||||||||
| 79∼20 | 4 | ≤0.5 | 0.125 | 2 | 2 | 4 | 4 | 1 | 8 | 8 | 0.008 | 1 | 16 | 16 | 16 | 32 |
| QC standards | ||||||||||||||||
| ATCC25922 | 2 | 0.125 | 0.5 | 2 | 2 | 2 | 4 | 2 | 8 | 8 | 0.008 | 1 | 8 | 4 | 4 | 16 |
| QC range | 2–8 | 0.03–0.12f | 0.25–1 | 0.5–2 | 0.5–2 | 2–8 | 2–8 | 0.5–2 | 8–32 | 4–16h | 0.004–0.015 | 0.25–1 | NA | NA | NA | NA |
| Breakpoint | 32 | 8 | 16 | 16 | 16 | 32 | 16 | 16 | 512 | 128 | 4 | NA | 64 | 4MIC | 32 | 4MICk |
Note:. * MIC ascends 4-fold or more, but not reaching breakpoint;
MIC reach breakpoint. NA Not available.
Olaquindox MICs and oqxA containing in the clinical strains isolated from pigs before and after usage of growth promoters.
| Time for drugaddition (days) | group | Usage of Drugs and concentrationin swine diet | strains | Olaquindox MIC(µg/ml) |
|
| 0 day | 1 | control | E0-1 | 64 | + |
| 2 | 50 µg/ml olaquindox | E0-2 | 64 | + | |
| 3 | 50 µg/ml chlorotetracycline | E0-3 | 128 | + | |
| 4 | 50 µg/ml cyadox | E0-4 | 64 | + | |
| 5 | 150 µg/ml cyadox | E0-5 | 128 | + | |
| 6 | 250 µg/ml cyadox | E0-6-1 | 128 | + | |
| 6 | 250 µg/ml cyadox | E0-6-2 | 128 | + | |
| After 45 days | 1 | control | E45-1 | 256 | + |
| 2 | 50 µg/ml olaquindox | E45-2 | 256 | + | |
| 3 | 50 µg/ml chlorotetracycline | E45-3 | 128 | + | |
| 4 | 50 µg/ml cyadox | E45-4 | 256 | + | |
| 5 | 150 µg/ml cyadox | E45-5 | 128 | + | |
| 6 | 250 µg/ml cyadox | E45-6-1 | 64 | + | |
| 6 | 250 µg/ml cyadox | E45-6-2 | 64 | + | |
| After 100 days | 1 | control | E100-1 | 256 | + |
| 2 | 50 µg/ml olaquindox | E100-2 | 256 | + | |
| 3 | 50 µg/ml chlorotetracycline | E100-3 | 128 | + | |
| 4 | 50 µg/ml cyadox | E100-4 | 32 | + | |
| 5 | 150 µg/ml cyadox | E100-5 | 64 | - | |
| 6 | 250 µg/ml cyadox | E100-6-1 | 128 | + | |
| 6 | 250 µg/ml cyadox | E100-6-2 | 256 | + |
Transfer frequency and specific assessment of conjugation.
| Backgroud | strains | Transfer frequency (transconjugant/donor) a | MICs to QdNOs (µg/ml) b | Similarity of Riboprint patterns before and after transconjugation (%) c | ||||
| OLA | MEQ | CAR | CYA | RIF | ||||
| Recipient | NK5449 | 8 | 4 | 8 | 8 | >200 | 100 | |
| Donors | 79O4-1 | 256 | 128 | 64 | >128 | 12.5 | 67 | |
| 79O4-2 | >256 | >128 | 128 | >128 | 12.5 | 58 | ||
| 79O4-3 | 256 | 128 | 32 | >128 | 6.25 | 71 | ||
| Transconjugant | 79O4-1/N | 4.0×10−10 | 256 | 128 | 128 | >128 | >200 | 93 |
| 79O4-2/N | 5.4×10−10 | 128 | 128 | 128 | >128 | >200 | 92 | |
| 79O4-3/N | 2.5×10−10 | 128 | 128 | 128 | >128 | >200 | 93 | |
Note: a-the transfer requency was calculated by dividing the CFU of transconjugant by the CFU of donor;
b- and c-the specificity of conjugation was assessed by the change of MIC and riboprint patterns of the recipient, donors and tranconjugants.
The differentially expressed fragments identified in the QdNOs resistant strain E. coli 79O4-2.
| No. of sequence | Length(bp) | Encoded protein | Gene |
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| |||
| 1 | 435 | Iron-sulfur cluster binding protein | - |
| 2 | 176 | Nitrate reductase 1, beta (Fe-S) subunit |
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| 3 | 192 | RNA polymerase, alpha subunit |
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| 4 | 88 | tRNA (guanine-1-)-methyltransferase |
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| 5 | 112 | tRNA pseudouridine synthase A |
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| 6 | 147 | Glycine tRNA synthetase, beta subunit |
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| 7 | 123 | Isoleucyl-tRNA synthetase |
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| 8 | 150 | 50S ribosomal subunit protein L6 |
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| 9 | 126 | 50S ribosomal subunit protein L3 |
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| 10 | 343 | 50S ribosomal subunit protein L24 |
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| 11 | 264 | 30S ribosomal subunit protein S8 |
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| 50S ribosomal subunit protein L6 |
| ||
| 12 | 406 | Protein chain elongation factor |
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| 13 | 200 | Lipoate synthase |
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| 14 | 233 | UDP-3-O-acyl N-acetylglucosamine deacetylase |
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| 15 | 54 | UDP-N-acetyl-D-mannosaminuronic acid transferase |
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| 16 | 170 | Enoyl-(acyl-carrier-protein) reductase, ADH-dependent |
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| 17 | 413 | Trehalose-6-phosphate synthase |
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| 18 | 66 | CTP synthetase |
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| Involved in metabolism | |||
| 19 | 252 | Phosphoglyceromutase 1 |
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| 20 | 473 | Glucosephosphate isomerase |
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| 21 | 397 | ATP-dependent Clp protease, ATP-binding subunit |
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| 22 | 161 | ATP-dependent Clp protease ATP-binding subunit |
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| 23 | 90 | Aminopeptidase N |
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| 24 | 137 | Peptidyl-prolyl cis-trans isomerase |
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| 25 | 238 | F1 sector of membrane-bound ATP synthase, alpha subunit |
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| 26 | 456 | F1 sector of membrane-bound ATP synthase, beta subunit |
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| 27 | 364 | F1 sector of membrane-bound ATP synthase, gamma subunit |
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| 28 | 271 | 2-octaprenylphenol hydroxylase |
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| 29 | 161 | Isochorismatase hydrolase |
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| Involved in transport | |||
| 30 | 170 | spermidine/putrescine ABC transporter membrane protein |
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| 31 | 441 | outer membrane-specific lipoprotein transporter subunit; membranecomponent of ABC superfamily |
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| 32 | 160 | Preprotein translocase, SecA subunit |
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| Flagellar assembly | |||
| 33 | 232 | Flagellar hook assembly protein |
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| 34 | 246 | Flagellar biosynthesis protein FlhA |
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| 35 | 544 | Flagellin |
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| Mobilization protein | |||
| 36 | 262 | Mobilization protein MobA |
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| Predicted protein | |||
| 37 | 111 | Putative enzyme | - |
| 38 | 191 | Predicted peptidoglycan peptidase |
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| 39 | 226 | Conserved hypothetical protein |
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| 40 | 163 | Conserved hypothetical protein |
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| 41 | 325 | Conserved hypothetical protein |
|
Note: – No designated gene name.
Figure 1The hyperthetical mechanism of cell death induced by QdNOs and genes involved in the development of Quinoxaline resistance.
The primary drug (red triangle)-target (unknown target) interaction initiate a metabolic feedback dependent on tricarboxylic acid (TCA) cycle, stimulate the oxidation of NADH through the electron transport chain, promote superoxide (O2−) formation, damage the structure of Fe-S clusters, lead to the formation of hydroxyl radicals (OH−); and finally damage DNA, lipids or proteins and contributes to the cell death. The overexpressed genes found in our study (in the box and cycle) were involved into this process. The overexpression of some genes were induced in this drug-target cell death pathway (The dotted arrow), the others may inhibit the formation free radicals or prevent the damage by free radical (dotted line with a bar).
Figure 2Fold change of 11 up-regulated genes determined by RT-qPCR.
The X-axis was the 11 representative genes (mobA, rpoA, rplF, fusA, fabI, clpX, atpD, ubiB, lolC, secA and fliC) which were selected from all the 44 differentially expressed genes. The Y-axis was the relative fold change of selected genes determined by RT-qPCR. The data were considered for significant differences by one-way ANOVA using SPSS program (P≤0.05).