| Literature DB >> 34160235 |
Jinyong Wu1, Xiaohong Dong1, Lihua Zhang1, Yufei Lin1, Kun Yang1.
Abstract
The reversibility of antibiotic resistance is theoretically attractive due to the prospect of restoring the clinical potency of antibiotics. It is important to find out the factors that affect the reversibility of antibiotic resistance. Here, an mcr-1-positive multidrug-resistant (MDR) environmental Escherichia coli isolate was successively passaged under four antibiotic-free culture conditions. The relative abundances of multiple antibiotic resistance genes (ARGs) kept decreasing during the successive passages. The linear correlations between abundances of ARGs on the same MDR plasmid reflected that the decay of antibiotic resistance during the passage was mainly due to the elimination of the MDR plasmid (pMCR_W5-6). Colistin-susceptible strains were isolated at the end of the passage. The whole-genome sequencing of two susceptible isolates detected the elimination of the MDR plasmid and deletion of the mcr-1 gene. Deletions of DNA fragments from chromosome and plasmid were closely related to a variety of insertion sequences (ISs). The results of coculture of resistant and susceptible strains at different antibiotic concentrations indicated that the high fitness cost led to the poor stability of mobile ARGs. Strict control of the use of antibiotics can at least reverse the severe antibiotic resistance caused by mobile ARGs of high fitness cost. IMPORTANCE The dissemination of bacterial antibiotic resistance is a serious threat to human health. The development of new antibiotics faces both economic and technological challenges. The reversibility of antibiotic resistance has become an important issue causing wide concern due to the prospect of restoring the clinical potency of antibiotics. Our study suggests that the high mobility of ARGs of high fitness cost may just reflect their poor stability. Therefore, strict control of the use of antibiotics can at least reverse the severe antibiotic resistance caused by mobile ARGs of high fitness cost. This study brings hope for the possibility of curbing the dissemination of antibiotic resistance.Entities:
Keywords: antibiotic resistance genes; fitness cost; mcr-1; multidrug resistance; qPCR; reversibility
Mesh:
Substances:
Year: 2021 PMID: 34160235 PMCID: PMC8265650 DOI: 10.1128/mSphere.00356-21
Source DB: PubMed Journal: mSphere ISSN: 2379-5042 Impact factor: 4.389
FIG 1qPCR-determined and normalized relative abundances of typical ARGs (including intI1) during the successive passages at four antibiotic-free cultural conditions. Overall, the abundances of ARGs kept decreasing during successive passages. Static culture without shaking (condition 3) facilitated the maintenance of multiple ARGs, while the loss of mcr-1 became the worst at this condition.
Pearson correlation coefficients between qPCR-determined relative abundances of different ARGs
| Gene | Pearson correlation coefficient for genes under: | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Condition 1 | Condition 2 | Condition 3 | Condition 4 | |||||||||||||||||
| 1 | 0.970 | 0.887 | 0.889 | 0.970 | 1 | 0.993 | 0.995 | 0.994 | 0.979 | 1 | 0.317 | 0.845 | 0.528 | 0.703 | 1 | 0.992 | 0.976 | 0.971 | 0.968 | |
| 0.970 | 1 | 0.776 | 0.797 | 0.931 | 0.993 | 1 | 0.996 | 0.991 | 0.989 | 0.317 | 1 | 0.699 | 0.923 | 0.852 | 0.992 | 1 | 0.944 | 0.937 | 0.929 | |
| 0.887 | 0.776 | 1 | 0.994 | 0.948 | 0.995 | 0.996 | 1 | 0.997 | 0.985 | 0.845 | 0.699 | 1 | 0.837 | 0.928 | 0.976 | 0.944 | 1 | 0.997 | 0.986 | |
| 0.889 | 0.797 | 0.994 | 1 | 0.962 | 0.994 | 0.991 | 0.997 | 1 | 0.969 | 0.528 | 0.923 | 0.837 | 1 | 0.957 | 0.971 | 0.937 | 0.997 | 1 | 0.984 | |
| 0.970 | 0.931 | 0.948 | 0.962 | 1 | 0.979 | 0.989 | 0.985 | 0.969 | 1 | 0.703 | 0.852 | 0.928 | 0.957 | 1 | 0.968 | 0.929 | 0.986 | 0.984 | 1 | |
Significance level at P value of <0.05 (n = 6, two-tailed test).
Significance level at P value of <0.01 (n = 6, two-tailed test).
Condition 1, r = 210 rpm, pH 6, 37°C; condition 2, r = 210 rpm, pH 6.95, 37°C; condition 3, r = 0 rpm, pH 6.95, 37°C; condition 4, r = 210 rpm, pH 6.95, 30°C.
Shading represents ignificant linear correlations.
FIG 2PCR detecting the presence of multiple ARGs in typical colistin-susceptible strains isolated at the end of the successive passage. E. coli W5-6-6 and W5-6-8 were isolated from cultural condition 2, i.e., the normal condition for liquid-phase culture of E. coli in our lab. Both isolates lost the mcr-1 gene and other ARGs on the MDR plasmid pMCR_W5-6. (A) The sul2 gene was also present on the chromosome of the original E. coli W5-6, so it was still detected but with relatively low abundance. E. coli W5-6_3-13 was isolated from cultural condition 3, i.e., the static culture. (B) The isolate lost the mcr-1 gene but kept all other ARGs on the MDR plasmid. PC, positive control with DNA extract from original E. coli W5-6 as the template; NC, negative control.
Genome composition in the original multidrug-resistant E. coli W5-6 and two colistin-susceptible isolates
| Strain | No. of bp in: | |||
|---|---|---|---|---|
| Chromosome, ST2 | pMCR_W5-6, IncHI2 | p2_W5-6, IncX1 | p3_W5-6, IncN | |
| W5-6 | 4,638,901 (GenBank accession no. | 241,043 (GenBank accession no. | 44,779 (GenBank accession no. | 72,717 (GenBank accession no. |
| W5-6-8 | 4,579,340 (−59,561) | ND | 44,774 (−5) | 72,724 (+7) |
| W5-6_3-13 | 4,635,411 (−3,490) | 204,074 (−36,969) | 44,774 (−5) | 72,668 (−49) |
Strain type (ST) or incompatibility replicon type of plasmid (Inc).
Numbers in brackets indicate the size change of the corresponding contig in comparison to the original strain (E. coli W5-6).
ND, not detected.
FIG 3(A) Sequence alignment of the MDR plasmid in the original E. coli W5-6 and E. coli W5-6_3-13. The alignment was performed using BRIG tool (35). (B) Deletion of the DNA fragment on the plasmid pMCR_W5-6_3-13 is indicated with a red arrow and illustrated in detail. The right side of the missing DNA fragment (the gap) is closely next to the end of ISApl1, while its left side is in an AT-rich region, which is the target hot spot of ISApl1. IRL means the inverted repeat at the left end of the IS.
FIG 4(A) Sequence alignment of the chromosomes of the original E. coli W5-6 and the two colistin-susceptible isolates. (B and C) Deletion of DNA fragments on W5-6-8Chr and W5-6_3-13Chr are indicated with blue (B) and magenta (C) circles. Both missing DNA fragments are closely next to the end of an IS (IS26 and IS1R, respectively). Both ends of the missing DNA fragment on the chromosome W5-6_3-13Chr (i.e., Gap-W5-6_3-13) are in AT-rich regions which are the target hot spots of IS1R. IRL and IRR, inverted repeats on the left and right ends of ISs, respectively.
FIG 5Relative fitness of antibiotic resistance quantified via qPCR. Resistant strain (W5-6 or W5-6_3-13) and susceptible strain (W5-6-8 or W5-6_3-13) are cocultured under the selective pressure of three antibiotics. Relative quantities (RQs) of corresponding ARGs after the coculture were determined via qPCR. The magnitude of RQ relative to 1 reflects the competitive edge of the resistant strain over the susceptible one at different antibiotic concentrations. It also indicates whether the corresponding ARG is costly (RQ < 1) or beneficial (RQ > 1) to the host bacteria at different antibiotic concentrations.
FIG 6(A) Structure of the multidrug-resistant plasmid (pMCR_W5-6) of E. coli W5-6. (B) Details of the multidrug-resistant region are illustrated. Five typical ARGs and intI1 (highlighted with colored circles) were chosen for monitoring their stability in the host bacteria.
FIG 7Illustration of the research route. The multidrug-resistant E. coli isolate W5-6, which contains a multidrug-resistant plasmid (pMCR_W5-6), was continuously passaged at four different conditions without antibiotic pressure (refer to the table). At the end of the passage, the susceptible colonies were picked, and the presence of typical ARGs on the multidrug-resistant plasmid was detected. The colonies with specific resistance gene deletion patterns were selected for whole-genome sequencing. DNA samples were extracted from certain passages, and the quantity of special ARGs (ARGs marked with red circles in Fig. 6) was determined via qPCR. Abundance correlation analysis among different ARGs reflected the elimination mode of these resistance determinants.